Most children with hearing loss who receive cochlear implants (CI) learn spoken language, and parents must choose early on whether to use sign language to accompany speech at home. We address whether parents’ use of sign language before and after CI positively influences auditory-only speech recognition, speech intelligibility, spoken language, and reading outcomes.
Three groups of children with CIs from a nationwide database who differed in the duration of early sign language exposure provided in their homes were compared in their progress through elementary grades. The groups did not differ in demographic, auditory, or linguistic characteristics before implantation.
Children without early sign language exposure achieved better speech recognition skills over the first 3 years postimplant and exhibited a statistically significant advantage in spoken language and reading near the end of elementary grades over children exposed to sign language. Over 70% of children without sign language exposure achieved age-appropriate spoken language compared with only 39% of those exposed for 3 or more years. Early speech perception predicted speech intelligibility in middle elementary grades. Children without sign language exposure produced speech that was more intelligible (mean = 70%) than those exposed to sign language (mean = 51%).
This study provides the most compelling support yet available in CI literature for the benefits of spoken language input for promoting verbal development in children implanted by 3 years of age. Contrary to earlier published assertions, there was no advantage to parents’ use of sign language either before or after CI.
Cochlear implant use, even from a young age, does not insure that spoken language will develop normally. Controversy exists regarding whether sign language in combination with spoken language provides greater benefit from a cochlear implant than spoken language alone.
Outcomes were compared for early-implanted children from a prospective, national cohort differing in amount and duration of sign language use. Children exposed to sign language performed more poorly on auditory-only speech recognition, speech intelligibility, spoken language, and reading outcomes.
In a national sample of more than 27 000 school-aged children who were deaf or hard of hearing, Mitchell and Karchmer1 reported only 3.9% had 2 parents who were deaf or hard of hearing. Most parents with normal hearing would like their child who is deaf to learn to communicate using spoken language and choose to provide a cochlear implant (CI) to facilitate this outcome. A major question for parents and the professionals who work with them is whether speech recognition, speech production, spoken language, and reading skills are best developed by focusing exclusively on spoken language or if early exposure to sign language provides an important foundation for learning a spoken language. Children of Deaf* parents are assumed to learn American Sign Language (ASL) at a normal rate through natural exposure to their parents’ language.2,3 However, most hearing parents and teachers are not ASL-proficient and typically learn an English-based sign language system that accompanies speech and maintains English word order and morphology, often referred to as “total” or “simultaneous” communication.4 Proponents of this approach maintain that signing while talking aids development of spoken language and reading skills.
For example, a recent review in Pediatrics2 noted “The benefits of learning sign language clearly outweigh the risks. For parents and families who are willing and able, this approach seems clearly preferable to an approach that focuses solely on oral communication.” Despite these assertions, there is a paucity of data directly comparing spoken language outcomes in similar groups of children learning language with and without the addition of sign. A systematic review of studies conducted between 1995 and 2013 concluded that “insufficient high-quality evidence exists to determine if sign language in combination with oral language is more effective than oral language therapy alone”5. The question we address is whether parents’ use of sign language before and after cochlear implantation positively influences auditory-only speech recognition, speech intelligibility, spoken language, and reading outcomes.
Does an early exclusive focus on spoken language promote faster development of auditory speech recognition skills, leading to more intelligible speech in elementary grades?
Does early exposure to sign language in addition to speech promote the development of spoken language and reading in elementary grades?
Is the quantity of sign language exposure over the first 3 years postimplant important for age-appropriate spoken language and reading development?
Methods
Participants
Ninety-seven children were selected from the Childhood Development after Cochlear Implantation (CDaCI) study,6 a prospective multicenter, national cohort of 188 children recruited from 6 large CI centers between November 2002 and December 2004. Institutional Review Board approval of the protocol was obtained at each of the test sites (see Acknowledgments), and written informed consent was obtained from each participating family. The sample for this study was selected as follows: CI activated by 38 months of age (n = 137/188), parents who consistently reported the communication mode used with their child (N = 129/137), and returned for testing near early and late elementary grades (n = 97/129). Over 95% of the children received specialized intervention during some or all of the first 3 years postimplant. The selected sample had statistically significantly younger age at implant activation (21.8 vs 37.3 months) and a higher percentage of families with white race (70% vs 55%) and with maternal education level at college graduate or higher (57% vs 42%) compared with those 91 families in the CDaCI database who were not included in these analyses.
Sign Exposure Classification
Parents answered written questions about their child’s exposure to sign language at baseline (just before CI surgery) and at 12, 24, and 36 months postimplant. A child was classified as negative for sign language exposure at a given rating period if the parent reported no sign language use by the parent or intervention program (ie, auditory–oral, auditory–verbal, or cued speech methodologies). A child was classified as positive for sign language exposure at that rating period if one of the following systems was reported by a parent as used at least 10% of the time at home and/or in the child’s intervention program: ASL, Total/Simultaneous Communication, baby sign, Signing Exact English, Signed English, sign language, sign support, or Pidgin sign. Sign language exposure categorization was determined as follows: No sign = no report of parent or intervention program sign language use from baseline through the first 3 years postimplant (N = 35); Short-term sign = positive for sign language use at baseline and/or 12 months postimplant but negative for sign language use at 24 and 36 months postimplant (N = 26); Long-term sign = positive for sign language use at baseline and/or 12 months and at 24 and 36 months postimplant (N = 36). Similar rates of sign language use at baseline were reported for the 40 children who met the implant age criteria but were excluded due to lack of sufficient follow-up data.
Parents were also asked to estimate how much of each day sign language was used in the home, to separate frequent signers (>50% of the day) from infrequent signers (<50%). In families providing long-term sign language exposure, the proportion of frequent signers decreased from 63% at baseline or 12 months postimplant to 29% at 24 or 36 months postimplant.
Preimplant (Baseline) Characteristics
Table 1 summarizes sample characteristics at baseline. No statistically significant group differences emerged for sex, family income, percentage of mothers with college degrees, age at onset of deafness, age first aided, average aided hearing threshold, age at first CI activation, maternal sensitivity to communicative interactions,7,8 nonverbal cognition,9 spoken words rated as both understood and produced,10 or auditory perceptual skills.11 Families of children who used sign language were statistically significantly more likely to be enrolled in parent–infant intervention preimplant than nonsigning families (P = .01).
Baseline Characteristics of CI Recipients by Sign Language Exposure Group
Characteristic . | No Sign (n = 35) . | Short-term Sign (n = 26) . | Long-term Sign (n = 36) . | Total (n = 97) . |
---|---|---|---|---|
Girl, n (%) | 17 (49) | 9 (35) | 21 (58) | 47 (48) |
Household income, n (%) < $50 k | 11 (32) | 11 (44) | 15 (42) | 37 (39) |
Maternal education, n (%) graduated college | 24 (69) | 13 (50) | 18 (50) | 55 (57) |
Parent-infant program, n (%)** | 14 (40) | 20 (77) | 23 (64) | 57 (59) |
Aided PTA better ear, dBa | 75.1 (22.0) | 73.1 (23.6) | 77.8 (21.8) | 75.6 (22.2) |
Age at onset of deafness, mo | 0.3 (1.2) | 1.2 (3.4) | 1.3 (3.6) | 0.9 (2.9) |
Amplification age, mo | 9.4 (8.6) | 10.8 (8.3) | 11.5 (7.5) | 10.6 (8.1) |
Activation age, mo | 19.3 (8.3) | 22.1 (7.3) | 22.8 (8.3) | 21.4 (8.1) |
Maternal sensitivityb | 5.5 (0.7) | 5.3 (0.7) | 5.4 (0.7) | 5.4 (0.7) |
Baseline IQc | 94.5 (19.3) | 97.4 (21.2) | 98.5 (14.2) | 96.8 (18.1) |
Vocabularyd | 14.7 (41.6) | 10.8 (18.4) | 16.2 (59.4) | 14.2 (44.6) |
Auditory perceptione | 9.8 (9.4) | 7.0 (6.9) | 5.8 (7.3) | 7.5 (8.1) |
Characteristic . | No Sign (n = 35) . | Short-term Sign (n = 26) . | Long-term Sign (n = 36) . | Total (n = 97) . |
---|---|---|---|---|
Girl, n (%) | 17 (49) | 9 (35) | 21 (58) | 47 (48) |
Household income, n (%) < $50 k | 11 (32) | 11 (44) | 15 (42) | 37 (39) |
Maternal education, n (%) graduated college | 24 (69) | 13 (50) | 18 (50) | 55 (57) |
Parent-infant program, n (%)** | 14 (40) | 20 (77) | 23 (64) | 57 (59) |
Aided PTA better ear, dBa | 75.1 (22.0) | 73.1 (23.6) | 77.8 (21.8) | 75.6 (22.2) |
Age at onset of deafness, mo | 0.3 (1.2) | 1.2 (3.4) | 1.3 (3.6) | 0.9 (2.9) |
Amplification age, mo | 9.4 (8.6) | 10.8 (8.3) | 11.5 (7.5) | 10.6 (8.1) |
Activation age, mo | 19.3 (8.3) | 22.1 (7.3) | 22.8 (8.3) | 21.4 (8.1) |
Maternal sensitivityb | 5.5 (0.7) | 5.3 (0.7) | 5.4 (0.7) | 5.4 (0.7) |
Baseline IQc | 94.5 (19.3) | 97.4 (21.2) | 98.5 (14.2) | 96.8 (18.1) |
Vocabularyd | 14.7 (41.6) | 10.8 (18.4) | 16.2 (59.4) | 14.2 (44.6) |
Auditory perceptione | 9.8 (9.4) | 7.0 (6.9) | 5.8 (7.3) | 7.5 (8.1) |
Data are expressed as mean (SD) unless otherwise noted. PTA, pure-tone average.
Average of available thresholds for tested frequencies 500, 1000, 2000, and 4000 Hz, where at least 1 frequency was tested (88/97 of the participants had 4-frequency pure-tone average).
Maternal sensitivity scale from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Early Childcare Study codes.
Bayley Scales of Infant Development (BSID II) (Bayley9).
Spoken words both understood and said on the MacArthur-Bates Communicative Development Inventory (MBCDI: Words and Gestures Form; Fenson et al10).
Infant-Toddler Meaningful Auditory Integration Scale (IT-MAIS) (Robbins et al11).
χ2 P value = .01.
Postimplant Outcome Measures
Auditory development was tracked over the first 3 years after CI activation. Speech intelligibility was measured near the middle of elementary school (age = 6.0–8.9 years). Spoken language and reading outcomes were examined at a point near early (age = 5.0–7.9) and near late (age = 9.0–11.9) elementary grades. Tests were administered by certified audiologists and speech-language pathologists at each CI Center without previous knowledge of group assignment for this study.
Early Auditory Development
The Speech Recognition Index in Quiet (SRI-Q) combines multiple results from a hierarchical test battery into a single cumulative speech perception index, accounting for both the difficulty level and accuracy on a specific test.12 SRI-Q values range from 0 to 600, with lower scores (0–100) representing parent report on the Meaningful Auditory Integration Scale.11,13 Midrange scores (101–300) represent closed-set word recognition: Early Speech Perception Test14 and Pediatric Speech Intelligibility Test.15 Highest values (301–600) delineate open-set speech recognition: Lexical Neighborhood Test,16 Phonetically-Balanced Word Lists-Kindergarten,17 and Hearing in Noise Test for Children (administered in quiet).18
Speech Intelligibility
Audio recordings were made of each child imitating 36 sentences (3, 5, or 7 syllables long).19 Each sentence contained a key word that was either predicted by context (Read the book) or not (Get the cake). Normal hearing adults with no previous experience listening to the speech of individuals who are deaf were instructed to write down as much of the sentence as they understood. Three judges provided responses to each sentence, and no judge listened to more than 1 sentence from the same child. Each overall intelligibility score represents the percent of 36 key words correctly understood across a total of 108 judgments.
Spoken Language
The Core Composite standardized score (SS) on the Comprehensive Assessment of Spoken Language (CASL)20 was used to assess language in relation to hearing age-mates in the normative sample. All children received the “core” language subtests appropriate for their age, drawn from the antonyms, syntax construction, paragraph comprehension, nonliteral language, pragmatic judgment, grammatical morphemes, and sentence comprehension subtests.
Reading
The Passage Comprehension subtest of Woodcock-Johnson Tests of Achievement (WJ)21 measures understanding of printed words and phrases at the early elementary level and paragraph comprehension at later grades. Results are expressed in SS in relation to hearing age-mates in the normative sample.
Statistical Analyses
Pre- and postimplant characteristics and outcomes were compared across the 3 sign language exposure groups. Continuous variables were compared using analysis of variance F- or Kruskal-Wallis (when scores were not normally distributed or in interval scale) tests, and categorical variables were compared by using χ2 or Fisher’s exact tests. Because the SRI-Q is an ordinal hierarchy created by scaling the different tests from 0 to 100 and stacking them, Kruskal-Wallis tests were used to compare the groups. Dunn’s test was used for posthoc comparison between groups. Spearman’s rank correlation ρ was used to correlate SRI-Q scores with speech intelligibility. Unadjusted logistic regressions were used to compare odds of language and reading outcomes below clinical thresholds (SS <85) for those exposed to short- or long-term sign to the no sign group. Stata 11 (StataCorp, College Station, TX) was used for all analyses, and all tests were 2-sided with α = .05.
Results
Does an Early Exclusive Focus on Spoken Language Promote Faster Development of Auditory Speech Perception Skills, Leading to More Intelligible Speech in Elementary Grades?
Median SRI-Q at baseline and over the first 3 years of CI use is reported in Table 2. A statistically significant difference between sign language exposure groups was identified at 36 months postimplant. Posthoc pairwise comparisons revealed a statistically significant advantage of the no sign group over the long-term sign language exposure group (P = .004).
Median (and interquartile range) of Speech Recognition in Quiet (SRI-Q) Scores at Baseline and Over the First 3 y of CI Use by Sign Language Exposure Group
Time of Assessment . | No Sign (n = 35) . | Short-term Sign (n = 26) . | Long-term Sign (n = 36) . | Total (n = 97) . | Pa . |
---|---|---|---|---|---|
Baseline (pre-CI) | 16.3 (5.0–50.0) | 15.0 (2.5–22.5) | 7.5 (1.3–18.8) | 12.5 (2.5–30.0) | .11 |
12 mo post-CI | 150.0 (90.0–223.0) | 125.0 (72.5–250.0) | 125.0 (80.0–200.0) | 125.0 (85.0–200.0) | .39 |
24 mo post-CI | 300.0 (260.0–365.0) | 343.5 (273.0–359.0) | 286 (125.0–359.5) | 313.0 (150.0–359.3) | .25 |
36 mo post-CI | 394.0 (341.0–556.0) | 381.8 (351.0–444.0) | 354.0 (291.0–392.0) | 374.0 (334.5–509.0) | .03b |
Time of Assessment . | No Sign (n = 35) . | Short-term Sign (n = 26) . | Long-term Sign (n = 36) . | Total (n = 97) . | Pa . |
---|---|---|---|---|---|
Baseline (pre-CI) | 16.3 (5.0–50.0) | 15.0 (2.5–22.5) | 7.5 (1.3–18.8) | 12.5 (2.5–30.0) | .11 |
12 mo post-CI | 150.0 (90.0–223.0) | 125.0 (72.5–250.0) | 125.0 (80.0–200.0) | 125.0 (85.0–200.0) | .39 |
24 mo post-CI | 300.0 (260.0–365.0) | 343.5 (273.0–359.0) | 286 (125.0–359.5) | 313.0 (150.0–359.3) | .25 |
36 mo post-CI | 394.0 (341.0–556.0) | 381.8 (351.0–444.0) | 354.0 (291.0–392.0) | 374.0 (334.5–509.0) | .03b |
Kruskal-Wallis equality-of-populations rank test.
Significant value (P = .03)
Speech intelligibility scores obtained at a mean age of 8.2 years (SD = 0.7) statistically significantly differed for the 3-sign exposure groups (P < .001). Dunn’s pairwise posthoc comparison revealed that children with long-term sign exposure produced statistically significantly less intelligible speech (mean = 50.9%; SD = 23.5) than those with no sign exposure (mean = 70.4%; SD = 16.5; P < .001) and those with short-term sign exposure (mean = 63.0%; SD = 20.4; P = .01).
SRI-Q at baseline did not predict later speech intelligibility (ρ = 0.10). However, the rank correlation between post-CI speech recognition and later production was statistically significant at each of the 3 postimplant intervals and increased over time (ρ = 0.24, P = .02 at 12 months; ρ = 0.32, P = .002 at 24 months; and ρ = 0.42, P < .001 at 36 months post-CI).
Does Early Exposure to Sign Language in Addition to Speech Promote the Development of Spoken Language and Reading in Elementary Grades?
Language (CASL core composite) and reading comprehension (WJ passage comprehension) SS near early and late elementary grades are plotted in Fig 1 for each of the 3 sign language exposure groups. Table 3 presents mean standard scores of the no sign language group and the average difference from this mean observed in the short-term and long-term groups. Posthoc tests compared the mean difference of the unadjusted linear regression for the 2 sign language exposure groups to the no sign group.
Language and reading scores of CI recipients by sign language exposure group near early and/or late elementary grades are depicted with box plots (25th, median, 75th percentiles; whiskers extend to highest and lowest value within ±1.5 × interquartile range). Percentages of children >1 SD less than the normative mean are listed at the bottom.
Language and reading scores of CI recipients by sign language exposure group near early and/or late elementary grades are depicted with box plots (25th, median, 75th percentiles; whiskers extend to highest and lowest value within ±1.5 × interquartile range). Percentages of children >1 SD less than the normative mean are listed at the bottom.
Mean Difference From Unadjusted Linear Regression and Odds Ratio (OR) From Unadjusted Logistic Regression Comparing CI Recipients Exposed to Sign Language to the No Sign (Reference) Group
. | No Sign (Ref) . | Short-term Sign vs No Sign (Ref) . | Long-term Sign vs No Sign (Ref) . | ||||
---|---|---|---|---|---|---|---|
Standard Scores . | Mean SS . | Mean Difference . | 95% Confidence Interval . | P . | Mean Difference . | 95% Confidence Interval . | P . |
Spoken language | |||||||
Early elementary | 85.6 | −8.15 | −18.65 to 2.35 | .13 | −12.63 | −22.25 to −3.00 | .01 |
Late elementary | 96.2 | −12.33 | −24.20 to −0.45 | .04 | −19.81 | −30.70 to −8.92 | <.001 |
Reading comprehension | |||||||
Early elementary | 101.1 | 0.11 | −9.11 to 9.33 | .98 | −3.20 | −11.65 to 5.26 | .46 |
Late elementary | 94.9 | −6.51 | −14.18 to 1.16 | .10 | −8.83 | −15.86 to −1.80 | .01 |
. | No Sign (Ref) . | Short-term Sign vs No Sign (Ref) . | Long-term Sign vs No Sign (Ref) . | ||||
---|---|---|---|---|---|---|---|
Standard Scores . | Mean SS . | Mean Difference . | 95% Confidence Interval . | P . | Mean Difference . | 95% Confidence Interval . | P . |
Spoken language | |||||||
Early elementary | 85.6 | −8.15 | −18.65 to 2.35 | .13 | −12.63 | −22.25 to −3.00 | .01 |
Late elementary | 96.2 | −12.33 | −24.20 to −0.45 | .04 | −19.81 | −30.70 to −8.92 | <.001 |
Reading comprehension | |||||||
Early elementary | 101.1 | 0.11 | −9.11 to 9.33 | .98 | −3.20 | −11.65 to 5.26 | .46 |
Late elementary | 94.9 | −6.51 | −14.18 to 1.16 | .10 | −8.83 | −15.86 to −1.80 | .01 |
Delayed (SS <85) . | . | OR . | 95% Confidence Interval . | P . | OR . | 95% Confidence Interval . | P . |
---|---|---|---|---|---|---|---|
Spoken language | |||||||
Early elementary | 1.44 | 0.52 to 4.01 | .48 | 3.18 | 1.16 to 8.67 | .02 | |
Late elementary | 3.41 | 1.17 to 9.93 | .03 | 3.93 | 1.45 to 10.61 | .007 | |
Reading comprehension | |||||||
Early elementary | 1.85 | 0.44 to 7.69 | .40 | 1.55 | 0.40 to 6.05 | .53 | |
Late elementary | 3.94 | 1.31 to 11.87 | .02 | 3.77 | 1.35 to 10.51 | .01 |
Delayed (SS <85) . | . | OR . | 95% Confidence Interval . | P . | OR . | 95% Confidence Interval . | P . |
---|---|---|---|---|---|---|---|
Spoken language | |||||||
Early elementary | 1.44 | 0.52 to 4.01 | .48 | 3.18 | 1.16 to 8.67 | .02 | |
Late elementary | 3.41 | 1.17 to 9.93 | .03 | 3.93 | 1.45 to 10.61 | .007 | |
Reading comprehension | |||||||
Early elementary | 1.85 | 0.44 to 7.69 | .40 | 1.55 | 0.40 to 6.05 | .53 | |
Late elementary | 3.94 | 1.31 to 11.87 | .02 | 3.77 | 1.35 to 10.51 | .01 |
Language
Language scores statistically significantly differed among sign language exposure groups at both test intervals, and statistical significance increased over time (early P = .04; late P = .002). Table 3 presents posthoc comparisons in early and late elementary grades. The no sign language exposure group scored statistically significantly higher than the long-term exposure group in spoken language at both tests and scored statistically significantly higher than the short-term exposure group in later grades. By late elementary grades, the average language score of children without sign language exposure was 96.2, close to the normative mean of 100, whereas mean scores for the groups with sign language exposure remained delayed (83.8 and 76.4 for the short- and long-term exposure groups, respectively).
Reading
All 3 CI groups achieved comprehension scores on par with hearing children in the early elementary years, with no group differences reaching statistical significance. However, children without sign language exposure (mean SS = 94.9) exhibited a statistically significant reading advantage over the long-term sign language group (mean SS = 86.0) in later elementary grades (P = .02).
Is the Quantity of Sign Language Exposure Over the First 3 Years Postimplant Important for Age-Appropriate Language and Reading Development?
Short-term Versus Long-term Exposure
The bottom row of Fig 1 reports the percentage of children in each group scoring more than 1 SD less than their normal hearing age-mates, and the lower section of Table 3 compares the odds of children in the sign language groups exhibiting delays in spoken language or reading relative to the no sign group. Between early and late elementary grades, the percentage of children with delayed language decreased from 49% to 29% in the no sign language exposure group, remained constant at 58% in the short-term group, and decreased from 75% to 61% in the long-term group. The percentage of children with less-than-average reading scores increased from <20% in early elementary grades to over 50% in late elementary grades in the groups exposed to sign language. For children without sign language exposure, only 11% were delayed in early elementary grades, increasing to 23% in late elementary grades. By late elementary school, participants exposed to sign language, regardless of short- or long-term exposure, had more than 3 times higher odds of having less-than-average (SS <85) spoken language or reading comprehension scores compared with participants not exposed to sign language.
Frequent Versus Infrequent Sign Language Exposure
No statistically significant differences were observed based on quantity of sign language exposure when collapsed across sign language exposure groups. Spoken language scores did not statistically significantly differ between children from families reporting use of sign language 10% to 50% of the day (N = 28; SS = 75 early CASL; 78 later CASL) and those whose family reported ≥50% sign language use (N = 33; SS = 76 early CASL; 82 later CASL). Similarly, there was no statistically significant reading comprehension advantage in children whose parents used sign language infrequently (SS = 99 early WJ; 85 later WJ) compared with those with frequent sign language exposure (SS = 100 early WJ; 90 later WJ).
Discussion
Three groups of children who differed in the amount and duration of early sign exposure provided in their homes and/or intervention programs were compared in their post-CI progress through elementary grades. Data were analyzed to address 3 questions. Below, we summarize and interpret these results.
Does an Early Exclusive Focus on Spoken Language Promote Faster Development of Auditory Speech Perception Skills, Leading to More Intelligible Speech in Elementary School?
Children whose families used spoken language exclusively developed better auditory speech recognition skills after 3 years of CI use and had more intelligible speech than children whose families used sign language. A strong relationship that increased over time was documented between early speech recognition and later speech intelligibility. Previous studies have documented a relation between the perception and production of speech sounds in children with CIs,22,–24 and more intelligible speech has been associated with oral-only instruction.23,25 The current findings further suggest that parental sign language use from an early age, if continued after receipt of a CI, is associated not only with slower development of speech recognition, but also with substantially less intelligible speech in elementary grades (50% in children of long-term signers compared with 70% for children of nonsigning parents). Although short-term use of sign language did not enhance development, it did not appear to have deleterious effects on either speech perception growth or later speech intelligibility.
It is likely that parents in the long-term group continued to use sign language because their child was slow to develop speech perception abilities, and families in the short-term group stopped using sign language because their child’s auditory gains made the use of sign language unnecessary. Nonsigning families did not report switching to sign language use later, presumably because their child’s listening and spoken language skills continued to develop. Although the groups appeared well-matched initially with similar auditory and vocabulary skills preimplant and no speech perception differences for the first 2 years postimplant, it is possible that use of sign language interfered with auditory and speech development.
Does Early Exposure to Sign Language in Addition to Speech Promote the Development of Spoken Language and Reading in Elementary Grades?
Spoken language development is negatively affected by delaying access to linguistic input until auditory input is initiated through hearing aids and/or CIs. Proponents of early sign language use assert that children with Deaf parents who are exposed to ASL from birth have a firmer foundation for the development of spoken language once the CI is activated, although empirical data supporting this conclusion are limited.26 Most hearing parents do not know sign language when their child is diagnosed with hearing loss, and acquiring proficiency is a long and arduous process for them. In this study, early exposure to sign language did not enhance either spoken language or reading. In fact, children whose parents signed were statistically significantly more likely than children of nonsigning parents to exhibit spoken language delays in elementary grades and to fall behind age-mates in reading comprehension by late elementary grades. Long-term parental signing was associated with greater delay throughout elementary grades, and children from families who discontinued signing after a year of CI use still were 3.5 to 4 times more likely than nonsigners to score more than 1 SD less than age-mates in the normative sample in spoken language and reading near the end of elementary school.
These results are in line with previous findings from a nationwide sample of 181 children who received a CI between 1.6 and 5.3 years of age and were tested when they were 8 to 9 years old.27 Each child’s communication mode was ranked to reflect educational emphasis on spoken versus sign language input beginning preimplant and continuing into elementary grades. Children enrolled in an educational environment that emphasized spoken language and minimized accompanying signs exhibited a statistically significant language advantage over children enrolled in sign language programs.28 As in the current study, the effect of communication mode on reading comprehension was not statistically significant in early elementary grades.29 However, 8 years later, when 112 of the original 181 participants returned for assessment (ages 15.0–18.5 years),30 those students who continued to rely on sign language in their teenage years had statistically significantly worse overall English language outcomes31 as well as overall literacy levels.32
The relatively high proportion of children in the no sign language exposure group achieving scores within 1 SD of normal hearing age-mates replicated results observed previously for a nationwide sample of 60 children who had no early sign language exposure, received a CI within the same age range (ie, by 38 months), and were approximately the same age at assessment near early and late elementary grades.33 The percentage of children exhibiting a language delay that persisted through elementary grades was strikingly similar in these 2 studies (29% and 32%), indicating generalizability of this result.
Parents in the long-term exposure group may have continued signing with their children because of their children’s lack of spoken language progress, and sign language skills (not measured here) may have excelled. Measuring only spoken language outcomes may have underestimated total language abilities in spoken and signed language together. However, increasing lags in reading comprehension scores of children exposed to sign language suggest that their overall language skill was not sufficient to compensate for verbal achievement deficits.
Is the Quantity of Sign Language Exposure Over the First 3 Years Post-Implant Important for Age-Appropriate Spoken Language and Reading Development?
To examine this question, we first compared outcomes of children with short-term and long-term exposure to sign language with those from nonsigning families. Children with long-term sign language exposure were at a significant disadvantage compared with those from nonsigning families across all outcomes, whereas short-term exposure was associated with spoken language and reading delays that emerged only in late elementary grades. This result suggests a sensitive period may exist for early sensory experience and a focus on early auditory input capitalizing on phonologically relevant articulatory events plays an important and persisting role in verbal development.34
Second, we compared children in families with frequent parental sign language use with those of infrequent signers. Children whose parents reported using sign language more frequently did not achieve better outcomes than those of less frequent signers. It is possible that the sign exposure provided by these hearing parents was not sufficient to promote spoken language development. The diminished performance of children of hearing parents learning sign may not adequately represent the potential benefits of early sign language input from accomplished signers.26 On the other hand, when this issue was addressed in “Language Choices for Deaf Infants: Advice for Parents Regarding Sign Languages,”35 parents were encouraged to sign regardless of their skill level:
[P]arents do not have to be perfect language models or even very good language models…even if not fluent, the parents’ language use is still important to the language development of the child… When a hearing mother signs with her deaf child, the child shows early language expressiveness on a par with hearing peers regardless of her signing abilities (p2).
Results of the current investigation indicate that hearing parents’ attempts to expose their child to sign language more frequently or for longer periods of time did not benefit, and may have detracted from, development of auditory, speech, and spoken language skills. However, the proportion of parents using sign language more than half of the day decreased from 63% at baseline or 12 months post implant to 29% at 24 or 36 months postimplant. We do not know whether more intensive use of sign language would have had different outcomes.
Conclusions
These results shed new light on a number of assertions regarding the benefits of early sign exposure cited in a review by Napoli et al.2 (1) “[E]arly sign language, when used for a short time preimplant as a bridge to spoken language, cannot hurt and may be beneficial.” Current results indicate no lasting advantage to using sign before and immediately after a CI, and these children were more likely to experience delayed language and reading in late elementary grades than children with no sign exposure. (2) “With sign language, the deaf child is able to travel through various social situations and communities without difficulty and not be confined to communicating only with family and friends, as is often the case for deaf children who have no knowledge of sign language.” Children not exposed to sign language developed speech that was, on average, 70% intelligible to hearing listeners, suggesting they can use speech to communicate effectively in the wider hearing world. Children whose families signed for the first 3 years after CI averaged considerably less intelligible speech (50%), which likely affects the ease of spoken communication. (3) “[S]igning deaf children, with or without a CI, perform better on literacy skills.” Children without sign language scored significantly better in reading in late elementary grades compared with children whose families provided early exposure to sign language.
Some caveats apply when interpreting these results. First, children in the current study were all from families with normal hearing who were not native signers, and at least some children with Deaf parents who used ASL have reportedly achieved age-appropriate spoken language,26 as did some children with sign exposure in the current investigation. Second, although there were no differences among the 3 groups of parents and children on a number of key predictors measured before cochlear implantation, differences may have existed that were not measured here. Third, more than half of mothers in this study had college degrees, and results may not apply equally to less advantaged populations. Nevertheless, based on results from this nationwide sample of children who differed in amount of early sign language exposure, if the long-term development of spoken English communication and literacy is the primary objective for a child with a CI, focus on early spoken input increases the probability of achieving those goals.
“Deaf” is capitalized here because it is customary when referring to people who culturally identify as deaf and embrace the values of the Deaf Community.
Dr Geers conceptualized and designed the analysis and drafted the initial manuscript; Ms Mitchell operationalized participant selection and definitions of key concepts through systematic retrieval of data from the CDaCI database, conducted all analyses, and reviewed and revised the manuscript; Dr Warner-Czyz provided speech intelligibility estimates, conducted initial comparisons of speech perception and production results, and reviewed and revised the manuscript; Dr Wang, principal investigator for the CDaCI Data Coordinating Center, developed the Speech Recognition Index in Quiet based on the speech perception hierarchy, provided guidance on statistical analytic approach, reviewed all analyses, and reviewed and revised the manuscript; Dr Eisenberg, principal investigator for the CDaCI project, conceived the speech perception hierarchy and reviewed and revised the manuscript; and all authors approved the full manuscript as submitted.
FUNDING: The Childhood Development after Cochlear Implantation study is supported by grant R01 DC004797 from the National Institute on Deafness and Other Communication Disorders (NIDCD). Funded by the National Institutes of Health (NIH).
COMPANION PAPER: A companion to this article can be found online at www.pediatrics.org/cgi/doi/10.1542/peds.2017-1287.
Acknowledgments
We would like to acknowledge the CDaCI Investigative Team.
CI Centers: Johns Hopkins University, the Listening Center, Baltimore: Howard Francis, MD, Dawn Marsiglia, MA, Deborah Grammer, MEd; University of Miami, Miami: Ivette Cejas, PhD, Diane Martinez, AuD, Fred Telischi, MD, Leslie Goodwin, MSN; University of Michigan, Ann Arbor: Teresa Zwolan, PhD, Caroline Arnedt, AuD; University of North Carolina, Carolina Children’s Communicative Disorders Program, Chapel Hill: Holly F.B. Teagle, AuD, Jennifer Woodard, AuD, Hannah Eskridge, MSP; University of Southern California, Center for Childhood Communication, Los Angeles: Laurie S. Eisenberg, PhD, Karen C. Johnson, PhD, Laurel M. Fisher, PhD, Leslie Visser-Dumont, MA, Dianne Hammes Ganguly, MA; University of Texas at Dallas, Callier Center for Communication Disorders, Dallas: Andrea Warner-Czyz, PhD, Ann Geers, PhD, Emily A. Tobey, PhD, Lana Britt, AuD.
Data Coordinating Center, Johns Hopkins University, Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore: Nae-Yuh Wang, PhD, Christine M. Mitchell, ScM, Thelma Grace, BA, Patricia Bayton.
Psychometrics Center, University of Miami, Department of Psychology, Coral Gables: Alexandra Quittner, PhD, Ivette Cejas, PhD, Michael Hoffman, MS.
Executive Committee: Laurie S. Eisenberg, PhD (chair), Ann Geers, PhD, Christine M. Mitchell, ScM, Alexandra L. Quittner, PhD, Nae-Yuh Wang, PhD.
Lastly, we would like to acknowledge John K. Niparko, MD (founding CDaCI PI, deceased), whose vision led to development of the CDaCI study and laid the foundation for looking at whole-child development longitudinally after cochlear implantation. His dedication and contributions to the study and the field are incomparable.
References
Competing Interests
POTENTIAL CONFLICT OF INTEREST: Ms Mitchell, Dr Wang, and Dr Eisenberg receive support from Advanced Bionics through research contracts to their respective institutions; and Drs Geers and Warner-Czyz have indicated they have no potential conflicts of interest to disclose.
FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.
As a pediatrician I am dismayed by the sweeping conclusions made in this article and the potential message to parents it will promote. This is not a randomized control trial. These three groups are divided by how much and how long sign language is being used to communicate with a child. This is VERY LIKELY a reflection of how much oral communication is understood! ie the success of the CI which to be clear is not 100%. Those kids that gain less benefit in auditory skills will need ongoing significant sign language for communication and it is no surprise that their speech amd reading skills may also reflect those ongoing challenges! To suggest that signing DETERS language, and reading ability refutes all that is understood about bilingual language learning. This paper is shamefully advising parents to deprive their kids of sign which for those lucky to reap benefits from Ci may not be devastating until they swim, are out of batteries, want to have pillow talk, or need a revision but those less lucky who have no or limited success with a CI will be imprisoned in a world without communication. CI is an amazing technology and can be almost miraculous for some but not all and even the lucky successes still deserve to know sign language. This respected journal has a responsibility to its readers and the press and parents who are listening. It is disappointing to see conclusions based on poor design.
Geers and colleagues, in a meticulously executed study, reported a delay in speech acquisition in patients using sign language prior to cochlear implantation (1). We fear that this may discourage parents from using sign language with unintended negative consequences.
Hellen Keller describes how blindness only separates the blind from things, but deafness separates people from people (2). Oliver Sacks in his fascinating book,‘Seeing Voices’ describes the fate of the hearing impaired before 1780 when the “congenitally deaf or ‘deaf and dumb’ were considered ‘dumb’ (stupid)” (3). Without language they were cut off from fellow humans, culture and information, no matter how good their native capacities.
In the 1780s deaf schools manned by deaf teachers began to become popular and sign language came into its own. Soon after this we had “deaf writers, deaf engineers, deaf philosophers and deaf intellectuals” which was inconceivable previously.
According to Sacks the tide turned again in the 1870s when it became popular to think that sign language cut the deaf from the general population and that they should be taught lip reading and speaking. Sign language was proscribed. The teaching of speech took five to eight years of intensive tutoring leaving little time for transferring information, culture and anything else, such that child ended up ‘a functional illiterate who had, at best, a poor imitation of speech’(3).
Even for infants with hearing, infant signs - symbolic gestures which can be used to represent objects, actions, requests, and mental state, are intentionally taught/learned and this helps parents and infants to communicate specific concepts earlier than the children's spoken language(4).
Humphries et al describe the potential harm of proscribing sign language (5). They suggest that “ because of brain plasticity changes during early childhood, children who have not acquired a first language in the early years might never be completely fluent in any language. If they miss this critical period for exposure to a natural language, their subsequent development of the cognitive activities that rely on a solid first language might be underdeveloped, such as literacy, memory organization, and number manipulation.”
We submit that the emphasis on teaching speech and cochlear implants comes from a medical model of disability in which the person with an impairment is considered to have a problem, a disease or deficit, which needs to be ‘fixed’ so that the person becomes ‘normal’. This is distinct from the rights based approach of the UN convention on Rights of People with disability (UNCRPD) and the accepted ‘social model’ – a framework in which the barriers placed by society on participation are given equal attention as the cause of impairment.
We recognize that we are ourselves not qualified to ‘speak’ for the hearing impaired. ‘Nothing about us without us” is the guiding principle of the disability movement. It will be useful for Pediatricians to recognize this and consult with those with hearing impairment, before we enforce speech recognition to the exclusion of sign language.
References
1. Geers AE, Mitchell CM, Warner-Czyz A, Wang N, Eisenberg LS and CDaCI Investigative Team. Early Sign Language Exposure and Cochlear Implantation Benefits. Pediatrics;2017;140:e20163489
2. Keller H. To Live, To Think, To Hope - Inspirational Quotes by Helen Keller. 2011CreateSpace Publishers USA. ISBN: 1466398086
3. Sacks O. Seeing voices. Picador 1990 Croydon UK ISBN: 9780330523646
4. Wang W, Vallotton C. Cultural transmission through infant signs: Objects and actions in U.S. and Taiwan.Infant Behav Dev. 2016;44:98-109. doi: 10.1016/j.infbeh.2016.06.003.
5. Humphries T, Kushalnagar P, Mathur G, Napoli DJ, Padden C, Rathman C and Smith SR. Language acquisition for deaf children: Reducing the harms of zero tolerance to the use of alternative approaches. Harm Reduct J. 2012 Apr 2;9:16. doi: 10.1186/1477-7517-9-16.
Even if research such as Geers et al. or other similar studies in the future might provide or appear to provide more definitive evidence that using sign language along with spoken language might cause some initial delays in acquiring either or both languages, well-designed long-term longitudinal studies of deaf children as they grow up into adults are necessary to fully ascertain the overall benefits of using spoken language and sign language with deaf children. Many recent studies have confirmed various benefits of bilingualism, including improving executive functioning in toddlers1 and delaying the onset of dementia in older adults2. While it is possible that teaching deaf children both sign language and spoken language might lead to slight lexical delays2 during their formative years, we should not overlook the long-term benefits of bilingual deaf adults who have stronger executive functioning1,2 and are more likely to be well-adjusted, being able to function and participate in both deaf and hearing communities.3 Therefore, I, as a profoundly deaf-since-birth developmental-behavioral pediatrician, strongly encourage future research of language development in deaf children to adopt a more long-term and holistic approach in understanding and appreciating the value of both spoken and sign languages for all deaf children rather than find ways to negate one or the other approach. From a deaf epistemology perspective3, there is truly no need to conduct and publish short-term research that discourages anybody from learning any language, especially discouraging parents of deaf children from learning sign language while we encourage non-deaf babies to learn sign language. On the other hand, there is a great need for well-designed, scientifically-sound, and community-based participatory research4 to focus on what we can do to improve deaf people’s health and long-term outcomes5.
1. Crivello, C., Kuzyk, O., Rodrigues, M., Friend, M., Zesiger, P., & Poulin-Dubois, D. (2016). The effects of bilingual growth on toddler’s executive function. Journal of Experimental Child Psychology, 141, 121-32. doi: 10.1016/j.jecp.2015.08.004
2. Alladi, S., Bak, T. H., Shailaja, M., Gollahalli, D., Rajan, A., Surampudi, B., Hornberger, M., Duggirala, V., Chaudhuri, J. R., & Kaul, S. (2017). Bilingualism delays the onset of behavioral but not aphasic forms of frontotemporal dementia. Neuropsychologia, 99, 207-212. doi: 10.1016/j.neuropsychologia.2017.03.021
3. Hauser, P. C., O'Hearn, A., McKee, M., Steider, A., & Thew, D. (2010). Deaf epistemology: Deafhood and deafness. American Annals of the Deaf, 154(5), 486-492. doi:10.1353/aad.0.0120
4. Smith, S. R., & Chin, N.P. (2012). Social determinants of health disparities: deaf communities. In J. Maddock (Ed.), Public Health - Social and Behavioral Health, 449-460. Rijeka, Croatia: InTech.
5. Barnett, S., Klein, J.D., Pollard, R. Q., Jr., Samar, V., Schlehofer, D., Starr, M., Sutter, E., Yang, H., & Pearson, T. A. (2011). Community participatory research with deaf sign language users to identify health inequities. American Journal of Public Health, 101(12), 2235-8. doi: 10.2105/AJPH.2011.300247
In response to the numerous criticisms of MS#2016-3489 (Early sign exposure and cochlear implant benefits), Geers et al. state “we investigated whether more focused spoken language exposure, free from distraction of manual signs, would provide a more attainable broad-based strategy for verbal language development.” Further, they explicitly cite my work to support the conclusion that, because of differences in the structure of ASL and English, “. . . conscientious and proficient use of ASL would detract from the amount of time spent stimulating and reinforcing spoken language development and could influence the structure of spoken language.” Nothing in the cited work remotely supports such a conclusion - in neither my 2002 book “Language, Cognition, and the Brain: Insights from Sign Language Research” nor in the 2005 article on code-blending by hearing adult ASL-English bilinguals that Geers et al. cite. On the contrary, recent research clearly demonstrates that simultaneously perceiving signs and spoken words does not negatively impact spoken word recognition or learning in deaf children1 and facilitates word recognition in adults2. Further, the augmentative use of signs has recently been shown to be beneficial to word learning in deaf children3.
In addition to mis-citing the literature, the response does not address the “correlation is causation” fallacy brought up by several commentators. In the article, as well as in their response to comments, the authors strongly imply that long-term use of ASL with deaf children causes poor English outcomes, for example because use of sign language is distracting or because parents spend less time focused on English. The latter concern is one that is commonly voiced by parents who are raising hearing children with two spoken languages. However, numerous studies have shown that children who are exposed to two languages are not impaired in language learning compared to children exposed to a single language. This is despite the fact that they receive less input in a given language since their parents divide their language use between two languages. Nonetheless, hearing parents are learning ASL, and more research is needed on how the quality of parental input impacts linguistic development is such bilingual settings.
The methodological concerns about data analysis and interpretation remain. The experimental design still suffers from probable self-selection biases – as Geers et al. acknowledge in their response, parents may choose to continue to use sign because they struggle to communicate with their child using spoken language alone. The fact that ASL was not distinguished from artificial sign systems (e.g., Signing Exact English, Total Communication) remains a fatal flaw because of known problems with the use of these systems with deaf children4, and this means that the authors cannot draw any conclusions about the impact of sign language on spoken language development. Overall, the interpretation that use of sign language interferes with auditory and speech development is simply not warranted, and this conclusion is dangerous given the harmful effects of language deprivation to the cognitive and social well-being of deaf children. Nothing in Geers et al.’s response changes this fact.
1. Giezen MR, Baker AE, Escudero P. Relationships between spoken word and sign processing in children with cochlear implants. J Deaf Stud Deaf Educ. 2013;19(1): 107-125.
2. Emmorey K, Petrich JAF, Gollan TH. Bilingual processing of ASL-English code-blends: The consequences of accessing two lexical representations simultaneously. J Mem Lang. 2012; 67: 199-210.
3. van Berkel-van Hoof L, Hermans D, Knoors H, Verhoeven L. Benefits of augmentative signs in word learning: Evidence from children who are deaf/hard of hearing and children with specific language impairment. Res Dev Disabil. 2016; 59: 338-350.
4. Strong M, Charlson ES. Simultaneous communication: Are teachers attempting an impossible task? Am Ann Deaf. 1987; 132(5): 376-382.
Response to Comments on “Early Sign Language Exposure and Cochlear Implant Benefits”
By: Ann E. Geersa, Ph.D, Christine M. Mitchellb, ScM, Andrea Warner-Czyza, Ph.D., Nae-Yu Wangb, Ph.D., Laurie S. Eisenbergc, Ph.D.
a Callier Center for Communication Disorders, University of Texas at Dallas
b Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University
c Keck School of Medicine of the University of Southern California, Los Angeles
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1. Issues with Regard to Design of the Study
Sound scientific research evaluating the effects of an intervention is predicated on random selection or assignment to treatment and control groups. The Geers et al. (2017) study violates this basic tenet of research design
While we agree that randomly assigning families at the time of diagnosis to intervention programs that differ in their use of sign language would be an efficient method to address sign language benefits, this approach is impractical and unethical for a variety of reasons. A decision regarding a child’s communication mode arises from parental choice based on information available at the time the child becomes a candidate for cochlear implantation. The current observational cohort study examined more prospectively collected pre-implant demographic characteristics than any previous study on this topic in the literature, introducing unprecedented transparency into the interpretation of group comparability at baseline.
2. Issues with Defining Exposure to Sign Language
…although the authors quantified exposure to manual communication (including ASL), they did not measure proficiency in ASL. Children who have not acquired the grammar of ASL are not predicted to benefit from it as a foundation for subsequent mastery of English….
Effects of ‘sign language exposure’ may have been carried by participants who used an artificial signing system, received late exposure relative to the critical period of language acquisition, had only one ASL model, and families with limited-to-no ASL proficiency….
From study onset, parental and clinician goals for participants in the CDaCI study have focused on spoken language development, and that outcome drove the research questions in this paper. We sought to examine long-term consequences of early communication mode decisions made for deaf children receiving cochlear implants (CI) by parents who have typical hearing.
Our study includes data from a representative sample of early-implanted children reared in real-world situations across the United States, in which the majority of hearing parents typically lack proficiency in American Sign Language (ASL), and, therefore, cannot provide a language-rich environment in both ASL and spoken English. Differences in syntax, phonology, and spatial information between ASL and spoken language1,2 limit simultaneous use of both languages. Therefore, conscientious and proficient use of ASL would detract from the amount of time spent stimulating and reinforcing spoken language development and could influence the structure of spoken language. Therefore, most hearing parents choose to employ an “artificial” sign language to accompany spoken English.
This paper does not aim to examine the effects of proficient ASL exposure on outcomes in pediatric CI users. Rather, we investigated whether more focused spoken language exposure, free from distraction of manual signs, would provide a more attainable broad-based strategy for verbal language development.
3. Issues with Pre-Existing Group Differences
… the best interpretation of this study is that families self-select their method of communication as a result of their child’s development in English. Under this view, the use of manual communication is a consequence of limited progress in English, not a cause.
Parents of deaf children who are not progressing with their CI may be more likely to begin, or continue, signing with their child. This would imply that poor oral outcomes encourage use of signing, rather than the use of signing limiting oral outcomes.
Baseline measures (Table 1) and communication mode decisions were made in infancy (i.e., before the child was 38 months old). Children in the three groups exhibited similar spoken language at that time (actually children in the long-term sign exposure group had the highest average spoken vocabulary size pre-implant), making “self-selection” to use sign on the basis of limited progress in spoken English questionable. Average baseline auditory perception ratings do not differ significantly among groups. Pre-implant aided pure-tone average thresholds differed by less than 5 dB across groups. Average parent ratings of auditory-based behaviors on the Infant-Toddler Meaningful Auditory Integration Scale (IT-MAIS) represent very limited auditory skills with hearing aids prior to implantation in all groups – mean scores of 9.8 and 5.8 in the no sign group and the long-term sign groups, respectively – out of a maximum score of 40.
These data indicate the sign exposure groups were experiencing profound difficulty with auditory perception and speech identification. It will surprise no-one that children with better auditory perception skills and speech identification skills at the outset will be the children who end up with the best auditory language scores.
The three participant groups did not statistically significantly differ on auditory perception or spoken language skills at study onset. Furthermore, baseline auditory perception scores were not significantly correlated with any outcome measures (r values ranged from -.02 to .19). Table 2 shows emerging differences over time in speech perception abilities, measured via an index based on a hierarchy of tests. Two possible interpretations can explain the widening of the gap between performance of the no-sign and sign-exposed groups over time: (a) Parents of children who do not receive adequate auditory benefit from their CI continue or begin manual communication efforts to interact more efficiently with their child; or (b) Children reared in families using sign develop auditory perception skills more slowly than those reared in non-signing families. Our results appear to support the second explanation, as all three groups of children exhibited improved speech perception scores over time. Signing parents typically initiated sign language use before their child received a cochlear implant and none of the no-sign families began to sign later, in response to poor auditory or spoken English progress. Parents in the long-term sign language group reportedly decreased their use of sign over time (from 63% of the day at baseline to 29% at 36 months post-implant). The 27 families in the short-term sign group stopped using sign during the first two years of CI use, presumably because it was no longer necessary for communication, though their outcomes did not reach the high levels achieved by the no-sign group. Nevertheless, we cannot state unequivocally whether parents’ use of sign was in response to their child’s auditory development or whether children’s auditory speech perception was negatively affected by parental sign use.
. ….observed differences might be attributable to other demographic factors that likely affected initial inclusion, attrition over time, and/or performance on the assessments (e.g. SES, etiology of deafness). Because sign language use may co-vary with these additional factors, the reported effects might well disappear if these factors were controlled. To satisfactorily demonstrate that sign language exposure harms spoken language development, the authors must demonstrate that: 1) all baseline measures were equivalent, 2) groups were not self-selected, and 3) participant attrition was not systematic.
It is important to recognize the large variability in all of these characteristics, which explains why differences in average scores cannot be interpreted without recognizing the substantial overlap in distributions. While statistical analysis failed to indicate significant differences in baseline metrics, some averages favor one group and some averages favor another group (e.g., higher maternal education and family income appear to favor the no-sign exposure group, while the long-term sign exposure group exhibits later onset of profound deafness, higher average IQ, and greater exposure to parent-infant intervention prior to cochlear implantation). Correcting for all of these variables in the analysis with multiple outcomes and time-points would have added an unnecessary level of complexity to the manuscript, so presumed equivalence was based on failure to find statistically significant group differences. Furthermore, some pre-implant characteristics (e.g, auditory speech perception) were measured with rating scales that are, at best, ordinal in nature, limiting their usefulness in correction analyses.
However, as a result of receiving several different comments related to potential for baseline group differences, though not statistically significant, to be driving the statistically significant group differences in later outcomes, we have run regression models adjusting for implant activation age, IT-MAIS score, enrollment in a parent-infant program, maternal education, and household income at baseline. It should be noted that, due to substantial correlations among some variables, reported predictors are subject to suppression effects. Results of these regression models are presented here in Table A. Even after adjusting for the mentioned characteristics, the groups exposed to sign language performed significantly poorer than participants not exposed to sign language on spoken language (CASL) assessed in the late elementary years and on speech intelligibility.
Table A. Adjusted linear regression results comparing the sign exposure groups on language, reading, and speech intelligibility outcomes.
Characteristic
Early elementary spoken language β
Early elementary reading comprehension β
Late elementary spoken language β
Late elementary reading comprehension β
Speech intelligibility (%) β
Sign language exposure group
(1-no sign, 2-short-term sign, 3-long-term sign)
-2.7
0.9
-6.9*
-2.5
-9.6**
Activation age
(1 yr increase)
-12.3***
-10.4**
-12.0**
-7.8**
-3.6
Auditory perception
(1 pt increase on IT-MAIS)
0.5
0.2
0.6
0.5*
0.1
Parent-infant program
(yes vs. no)
0.8
0.3
7.5
5.0
4.1
Maternal education
(college grad vs. not)
4.9
4.3
7.7
5.3
6.0
Household income
(low vs. not)
-10.0*
-3.4
-5.1
-2.4
3.9
* < 0.05, ** < 0.01, *** < 0.001
The 40 children who met eligibility criteria but were excluded due to lack of follow-up data may have influenced the outcomes. Families experiencing poor progress with their child’s CI may stop their follow-up appointments, for instance.
As was stated in the article, 40 children who met the implant age criteria were excluded due to lack of sufficient follow-up data, many of whom moved away from the implant center and were unable to return for follow-up visits. Similar rates of sign language use at baseline were reported for these 40 children (55% sign - 45% no sign) as for the sample with complete data (60% sign, 40% no sign). There was no significant tendency for participant attrition to be associated with either signing or non-signing families pre-implant.
4. Issues with Regard to Interpreting Outcomes
Although this study was designed to look narrowly at English-based outcomes, the authors over-interpret the results as evidence against the assertion that a natural sign language can be beneficial for deaf children. While English proficiency is certainly one route to success, it is not a necessary condition for it.
Our study should not be considered an indictment on the use of ASL, but rather it adds new information to the literature on this age-old controversy. One of the most consistent findings of CDaCI has been the large variability in outcomes that has persisted throughout the 15 years of data collection. The many reports from this study have examined this variability without focusing exclusively on the “star performers”. In fact, one recent study by Barnard et al reported specifically on those children who had not progressed in their auditory skill development (i.e., did not achieve open-set speech recognition) after five years of experience with the cochlear implant.3 Without adequate access to speech, visual language becomes essential whether it be speechreading, cued speech, simultaneous communication, or ASL. This was the case for the children in the Barnard et al. study. As has been mentioned earlier in this response, the overarching aim of CDaCI has been to study the development of spoken language following cochlear implantation, which injects a certain bias into the research design. Each family needs to make their own informed decision about what works best for their unique situation. One of the most important variables in any parent-child relationship, regardless of auditory status, is the presence of effective and efficient communication. Parents need to keep open lines of communication between parent and child and to provide a language-rich environment to enhance that child’s listening and language development.
REFERENCES
1. Emmorey, K. (2002). Language, cognition, and the brain: Insights from sign language research. Mahway, New Jersey: Lawrence Erlbaum Associates.
2. Emmorey, K, Borinstein, H, Thompson, R (2005) ISB4: Proceedings of the 4th International Symposium on Bilingualism, ed. James Cohen, Kara T. McAlister, Kellie Rolstad, and Jeff MacSwan, 663-673. Somerville, MA: Cascadilla Press.
3. Barnard, J.M., Fisher, L.M., Johnson, K.C., Eisenberg, L.S., Wang, N-Y., Quittner, A.L., Carson, C.M., Niparko, J.K., and the CDaCI Investigative Team. (2015). A prospective, longitudinal study of US children unable to achieve open-set speech recognition five years after cochlear implantation. Otology & Neurotology, 36, 985-992.
The utility of sign language as a supplement to spoken language for children using cochlear implants is complicated to systematically study. This topic has been debated for many years and yet there remains a paucity of high quality data to help parents make decisions that may affect their child and family. The Geers et al article is an effort to further our understanding of this topic of interest. The data comes from a large and well-respected database, the methodology and analysis have satisfied the peer review process and thus the findings have appropriately been published. Like most good research, it raises many more excellent questions for future study and has generated discussion. This is a healthy and necessary process for objectively advancing our knowledge.
Children born deaf are a heterogenic population. This prospective study by Geers et al provides insight into a distinct population of children with cochlear implants. Specifically, the children studied were implanted at a young age, had no other disabilities, were managed at centers with specialized personnel, and had highly educated mothers. The children and their families received expert spoken language therapy, with or without varied amounts and types of sign language. In this population, supplemental sign language did not provide an advantage for the development of spoken language. A study using consistent approaches for sign language and randomization might provide more definitive insight but doing such a study remains impractical and ethically challenging.
The Geers et al findings published in Pediatrics may be interpreted as threatening to the values of some individuals. Indeed, interpretations that draw a causal relationship between sign language usage and poor spoken language development would be inappropriate. Likewise, discounting the findings of this study, which by all accounts is the highest quality study carried out to date on this topic, would be similarly unfitting. We are left to balance the findings of this study with the previous literature and our clinical acumen to make recommendations for patients and their families. This study is yet another piece of useful information in the complex puzzle those families must solve as they seek the best opportunities for their children’s futures. As clinicians, we should continue to personalize language recommendations for each child who is deaf, based on their individual circumstances.
Colin Driscoll MD
Chair, Board of Directors, American Cochlear Implant Alliance
These results are hard to buy given that three of the five authors are supported by Advanced Bionics.
A goal shared by all parents of congenitally deaf children is for their child to achieve language competencies that provide a foundation for nurturing, education, and engagement in society. Today, even against a backdrop of miraculous technological advances and an increasing sophistication in our understanding of human capacity for language acquisition, we fall short of being able to provide a prescription for individual deaf children which will guarantee spoken language competencies. In the absence of a definitive solution we must rely upon rigorous research to make correct inferences in ascribing best practices for parents with deaf children.
Sound scientific research evaluating the effects of an intervention is predicated on random selection or assignment to treatment and control groups. This ensures that each participant or subject has an equal chance of being placed in any group. Random assignment of participants helps to ensure that any differences between and within the groups are not systematic at the outset of the experiment. Thus, any differences between groups recorded at the end of the experiment can be more confidently attributed to the experimental procedures or treatment.
The Geers et al. (2017) study violates this basic tenet of research design. The incorrect assumption made by Geers et al. (2017) is that all of their subjects have an equal potential to develop auditory and spoken language skills, or more accurately that this potential will be normally distributed across the No-sign, Short-term Sign, and Long-term Sign groups. However, the authors grouped the children by their experiences with spoken language and manual communication after the parents and children had already chosen a communication strategy. The reality is that deaf children who are not achieving gains in speech and spoken language skills are recommended to augment spoken language skills with some form of manual communication. The selection bias evident undermines the subsequent comparisons made across these groups.
Baseline data presented in Tables 1 and 2 support this assertion. On the Auditory Perception test the Long-Term Sign group received the lowest scores (5.8) followed by the Short term Sign-Group (7.0) with the No Sign Group showing the best scores (9.8). On the Speech Recognition in Quiet (SRI-Q) prior to cochlear implantation, the Long Term Sign group had the lowest and least variable scores (7.5; 1.3-18.8) compared to the No Sign Group (16.3; 5.0-50.0) who showed the highest scores with the greatest variability, the Short-term sign group was intermediate (15.9, 2.5-22.5). These data indicate the sign exposure groups were experiencing profound difficulty with auditory perception and speech identification. It will surprise no-one that children with better auditory perception skills and speech identification skills at the outset will be the children who end up with the best auditory language scores.
Researchers and editors alike must be vigilant in putting forth rigorous research that address the factors that limit language potential in deaf children with cochlear implants. Publishing research with inherently flawed research designs is a disservice to all parents who want their deaf children to flourish.
To the Editors,
As a primary care pediatrician, I am concerned about the harmful effects of this study’s publication in Pediatrics. According to Pediatrics metrics, 9 news agencies have picked up the story with the authors’ conclusion that sign language can be harmful to deaf children. Yet, at this time, 26 psychologists, physicians, and linguists have provided detailed descriptions of the study’s problems, both in the published comments here and with the accompanying commentary by White and Cooper[1]. The most egregious flaw is that the data do not support the authors’ conclusions. Please consider an expeditious retraction.
In 2015, some of the same authors of Geers et al. analyzed the very same data set used in this study. They show that 16% of their subjects could not derive any linguistic benefit from the cochlear implant. In that study they report that families signed by necessity, stating, “From a communication standpoint, the inability of a child with a CI to advance in auditory skill development would be expected to have an adverse effect on spoken language development. All but one of the children in the no open-set group (94%) relied on some level of sign support to communicate.” [2] However, they obscure this finding in the current study. Here, they imply a causal relationship that they know to be false. They state, "Current results indicate no lasting advantage to using sign before and immediately after a CI." This formulation ignores the failure of CIs to benefit all deaf children.
Taken together, the two studies demonstrate what is already known: 1. Outcomes with CIs are variable and unpredictable[3], and 2. A subset of children don’t derive linguistic benefit and are vulnerable to worse global outcomes[4]. Therefore, as the authors concede in 2015, these children will need a visual language. Their data support the need for early exposure to ASL in order to provide all deaf children the opportunity for healthy development. ASL and speech are not mutually exclusive. Therefore, families may choose to add the surgical option of a cochlear implant with intensive auditory and speech therapy. This is a paradigm that protects all deaf children, while offering opportunities for spoken language development.
Unfortunately, unless this study is retracted, it is likely that pediatricians will unwittingly expose vulnerable deaf children to harm, by discouraging parents from learning ASL. Seven years after its retraction by the Lancet, we are still coping with the long-term impact of Wakefield et al. [5], the debunked claim of a causal relationship between the MMR vaccine and autism. Likewise, the false claim of causation purported by Geers et al. is likely to influence parents to reject the only paradigm that assures healthy development for all deaf children.
1. White K, Cooper L. Opportunities and Shared Decision-Making to Help Children Who Are Deaf to Communicate. Pediatrics. 2017:e20171287. doi:10.1542/peds.2017-1287.
2. Barnard J, Fisher L, Niparko J, et al. A Prospective Longitudinal Study of U.S. Children Unable to Achieve Open-Set Speech Recognition 5 Years After Cochlear Implantation. Otology & Neurotology. July 2015;36(6):985-992. doi:10.1097/MAO.0000000000000723.
3. Humphries T, Kushalnagar R, Mathur G, et al. Cochlear Implants and the Right to Language: Ethical Considerations, the Ideal Situation, and Practical Measures Toward Reaching the Ideal. In: Umat C, Tange RA, editors. Cochlear Implant Research Updates, 193-212. InTech; 2012.
4. Kral A, Kronenberger W, Pisoni D, O'Donoghue G. Neurocognitive factors in sensory restoration of early deafness: a connectome model. The Lancet Neurology. 2016;15(6):610-621. doi:10.1016/s1474-4422(16)00034-x.
5. Wakefield A, Murch S, Anthony A, et al. RETRACTED: Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children. The Lancet. 1998;351:637–641. doi:10.1016=S0140-6736(97)11096-0.
Regarding Geers et al.’s methodology, data analysis, and conclusions, we find general agreement with other comments, but here we focus on their underlying epistemology. Geer et al.’s epistemological approach focused on understanding how to help deaf and hard of hearing (DHH) children function within a hearing world. The scientific method, however, requires an understanding that science is not neutral – as has been noted over the past centuries with regards to other minority groups. If one accepts the goal of raising DHH children to pass as hearing (1), then the main focus on spoken language acquisition fits with the epistemology of a DHH child as having a disability. The disability epistemology that Geers et al. utilizes, however, accepts the high probability of curtailing and restricting the cognitive and linguistic potential of DHH children.
Cognitive ecology recognizes the importance of embodied cognition, meaning that one’s environment shapes or limits one’s cognition (2). These holistic views of a DHH child as one who is different – rather than one with a deficit – is supported by a Deaf epistemology (3). This perspective facilitates a supportive cognitive ecology with the deaf individual as a visual being. Given this difference, most – if not all – DHH individuals will benefit from an alignment of their cognitive ecology with their own sensory capabilities provided by Deaf epistemology.
From a Deaf epistemology framework, it is worthwhile to note references not included in Geers et al.’s introduction. In particular, the absence of the work of the Early Educational Language Study – which found that beginning signing hearing parents’ children had better pre-literacy skills than those children whose parents did not sign – and studies showing that bimodal bilinguals have better academic outcomes (4) is especially striking. Another recent study (5) found that regardless of having or not having a cochlear implant, or preferring sign or spoken language, there were few differences between high school and college DHH students in their executive functioning and social emotional development. A comment from this study is worthy of additional research in consideration that most of their participants had both sign and spoken language by the age of three: Does this finding suggest that Deaf Education is changing?
With the newer hearing technologies, DHH children are frequently seen as bimodal bilinguals (4). Many DHH students are proud of their ability to live in both the Deaf and hearing worlds, and these young people are more and more common. The evidence from peer reviewed literature and other comments directed against Geers et al., therefore, demand that we all broaden our perspectives and evaluate our epistemologies, and learn to collaborate in elucidating factors that permit and prevent DHH children’s ability to thrive.
References
1. Harmon, K. (2013). Growing up to become hearing: Dreams of ‘passing’ in oral deaf education. In J. Brune & D. Wilson (Eds.), Disability and passing: Blurring the lines of identity (pp. 167-198). Philadelphia, PA: Temple University Press.
2. Hutchins, E. (2010). Cognitive ecology. Topics in Cognitive Science, 2(4), 705-715. doi:10.1111/j.1756-8765.2010.01089.x
3. Hauser, P. C., O'Hearn, A., McKee, M., Steider, A., & Thew, D. (2010). Deaf epistemology: Deafhood and deafness. American Annals of the Deaf, 154(5), 486-492. doi:10.1353/aad.0.0120
4. Leigh, I., & Andrews, J. (2017). Deafpeople in society: Psychological, sociological, and educational perspectives (2nd ed.). New York, NY: Routledge.
5. Marschark, M., Kronenberger, W. G., Rosica, M., Borgna, G., Convertino, C., Durkin, A., ... & Schmitz, K. L. (2017). Social maturity and executive function among deaf learners. Journal of Deaf Studies and Deaf Education, 22(1), 22-34. doi:https://doi.org/10.1093/deafed/enw057
The data presented by Geers et al. are consistent with three mutually-exclusive theories about the impact of natural sign languages on the development of English language skills: that natural sign languages (1) impede, (2) facilitate, or (3) have no impact on English development. Although Geers et al. clearly favor Theory 1, it is neither the only nor the best interpretation of their data.
Theory 2 is consistent with the data because although the authors quantified exposure to manual communication (including ASL), they did not measure proficiency in ASL. Children who have not acquired the grammar of ASL are not predicted to benefit from it as a foundation for subsequent mastery of English. We applaud these authors for considering variation in the amount of exposure to manual communication; however, we are dismayed to see ASL lumped together with other types of manual communication. Such coarse grouping prevents this crucial hypothesis from being adequately tested. (That is, children who are exposed mainly to English-based signing systems will not acquire the grammar of ASL; their performance is therefore uninformative about Theory 2.) Contrary to their claims, the authors have not falsified the theory that mastering the grammar of a sign language helps a child master the grammar of a spoken language.
Theory 3 is consistent with the data because observed differences might be attributable to other demographic factors that likely affected initial inclusion, attrition over time, and/or performance on the assessments (e.g. SES, etiology of deafness). Because sign language use may co-vary with these additional factors, the reported effects might well disappear if these factors were controlled. Theory 3 therefore remains viable.
In our view, the best interpretation of this study is that families self-select their method of communication as a result of their child’s development in English. Under this view, the use of manual communication is a consequence of limited progress in English, not a cause. Both of these interpretations remain available because the study used a correlational design that was particularly vulnerable to self-selection.
To successfully discriminate among the three competing theories, future research will need to: (1) distinguish ASL from other forms of manual communication, (2) assess ASL proficiency as a function of ASL exposure, (3) adopt a research design that minimizes the potential impact of reverse causality and self-selection effects (for example, studying the impact of exposure during a pre-specified time window on outcomes after that time window, regardless of the family's communication choices at time of test).
Finally, it is important to remember that English language skills are only one aspect of child development. Mastery of any natural language, signed or spoken, is expected to support healthy cognitive and psychosocial development, thereby promoting school readiness and long-term success. We must not forget that even in the group of best-performing children in this study, 49% fell below the average range on language proficiency: in hearing children, this figure would be a mere 16%. Clearly, much more work remains to be done to maximize deaf children’s developmental potential.
We outline a number of fundamental issues in how sign language exposure and proficiency were operationalized and reported by Geers et al. Most importantly, the authors did not distinguish between those exposed to American Sign Language (ASL) versus English signing systems (e.g., signing exact English, sign-supported English, baby sign) when classifying children. This is a fatal flaw because, in contrast to artificial English signing systems, natural sign languages such as ASL are legitimate languages – as long-affirmed by the Linguistic Society of America[1] – with all the cognitive benefits a natural language provides. The study is recklessly misleading because of this inappropriate conflation, especially given that the authors’ conclusions contribute to long-standing bias, resistance, and misperceptions against natural sign languages in clinical recommendations for deaf children.
Among other issues, there is not enough information provided about participants’ sign language proficiency and exposure. At minimum, it is critical to know the number of children exposed to only ASL (as opposed to artificial signing systems), the age of first exposure to ASL, the number of ASL language models, and the ASL proficiency of parents and children. Effects of ‘sign language exposure’ may have been carried by participants who used an artificial signing system, received late exposure relative to the critical period of language acquisition, had only one ASL model, and families with limited-to-no ASL proficiency. The little information provided about sign language exposure was not collected using direct measurement; rather, it appears to have been measured using an unvalidated parental-report questionnaire. The criterion for positive indication of sign language exposure was – in our view – very low (> 10% of the time), and there was no rationale offered for why 10% is minimally-sufficient. It is possible that the sample in this study represents a straw man hypothesis; no one would argue that such language conditions are sufficient for a child to thrive.
ASL is typically used within a bilingual approach encouraging both natural sign language and spoken/written English acquisition[2], and should be evaluated as such. Because those children are emerging bilinguals, their combined proficiency in both ASL and English must be considered to draw any conclusions about ASL-based intervention efficacy. Further, because bilingual and monolingual language acquisition differs, bilingual signing children’s appropriate comparison group are other bilingual children and should not be compared to monolingual norms.
Although this study was designed to look narrowly at English-based outcomes, the authors over-interpret the results as evidence against the assertion[3] that a natural sign language can be beneficial for deaf children. While English proficiency is certainly one route to success, it is not a necessary condition for it. The results of this study have no bearing on whether exposure to a natural sign language has any effect on the holistic well-being and health-related outcomes of deaf children, but they are dangerously framed and misinterpreted as such.
References
[1] Resolution: Sign Languages. Linguistic Society of America. 2001. Available at: https://www.linguisticsociety.org/resource/resolution-sign-languages. Accessed June 18, 2017.
[2] Lange C, Lane-Outlaw S, Lange W, Sherwood D. American Sign Language/English Bilingual Model: A Longitudinal Study of Academic Growth. Journal of Deaf Studies and Deaf Education. 2013;18(4):532-544. doi:10.1093/deafed/ent027.
[3] Napoli DJ, Mellon NK, Niparko JK, et al. Should all deaf children learn sign language? Pediatrics. 2015;136(1):170–176. pmid:26077481.
Based upon an analysis of data collected from the CDaCI study, Geers et al. argue that parents’ use of sign-based communication systems may result in poorer listening and spoken language skills, and reading outcomes for deaf children who have received a CI. Their findings conflict with those reported by Niparko et al. (1), which used the same dataset, raising concerns about variable selection and selective reporting of analyses. Whereas Niparko et al. concluded that signing had no effect on spoken language outcomes as measured using the RDLS, Geers et al. argue that the CASL revealed poorer spoken language and listening outcomes for deaf children whose families have chosen visual communication strategies.
Additionally, they point out that those same children show long-term deficiencies in reading skills as measured by the WJ-IV. Given the large, multivariate CDaCI dataset and the need for robustness in the findings across a range of predictor and outcome measures, we argue that these differences may reflect measurement error. Two data points do not allow for determination of developmental change (2), therefore the data cannot be classified as truly longitudinal. In addition, the data are presented in a grouped format, so actual change for individual children is obscured. The grouped format furthermore exhibits high variability which occludes some of the conclusions made by Geers et al.
Finally, Geers et al report no difference in outcomes for children in families using sign 10-50% of the day versus those who reported using sign >50% of the day. Given no apparent dose-response relationship between sign use and outcomes, this argues in favor of a “third variable” being responsible for both continued use of sign language and the poorer outcome measures in the dataset. For example, failure to obtain significant auditory benefit from the cochlear implant may have led to difficulties in spoken language communication and a family decision to continue to use sign with their deaf child. Socioeconomic factors (i.e. upper-middle class, white, educated) are often linked to better language environment for the child. (3) Households in the signing groups in Geers et al’s study had lower maternal education and income levels (Table 1), and likelier poorer insurance coverage. (4) These factors can contribute to weaker compliance with rehabilitation protocols and thus poorer outcomes. (5)
Because Geers et al. did not distinguish between the different kinds of visual communication parents used with their children, nor were there measurements of visual communication proficiencies in the CDaCI dataset, it is difficult to determine to what extent poor visual communication abilities contributed to lower spoken language abilities in signing families. Overall, the data analysis provide no evidence for causation. It merely hints at a correlation between parental communication choice, latent variables either not measured or not included in the analysis, and selected listening and spoken language outcomes. We agree with Geers et al. that more data is needed to address the questions posed in their study. However, they have not provided suitable answers to them.
References
1 Niparko JK, Tobey EA, Thal DJ, Eisenberg LS, Wang N-Y, Quittner AL, Fink NE, CDaCI Investigative Team. Spoken language development in children following cochlear implantation. JAMA. 2010;303(15): 1498-1506. doi: 10.1001/jama.2010.451.
2 Singer JD, Willett JB. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York (NY): Oxford University Press; 2003.
3 Hoff E. The specificity of environmental influence: socioeconomic status affects early vocabulary development via maternal speech. Child Dev. 2003; 74(5): 1368-1378. doi: 10.1111/1467-8624.00612.
4 Cochlear Implants FAQ. U.S. Food and Drug Administration. 2014. Available at: https://www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/Implants.... Accessed June 18, 2017.
5 Chang DT, Ko AB, Murray GS, Arnold JE, Megerian CA . Lack of financial barriers to pediatric cochlear implantation: impact of socioeconomic status on access and outcomes. Arch Otolaryngol Head Neck Surg. 2010;136(7): 648-657. doi: 10.1001/archoto.2010.90.
Geers et al. contains significant methodological issues that should moderate any findings and claims of sign language’s role in implanted deaf children’s spoken and written English development.
First, the study sample is (understandably) non-randomized; thus categorization factors may be related to outcomes. Asserting a causal conclusion from a correlational non-randomized study is inappropriate – especially when a simpler explanation may exist: parents of deaf children who are not progressing with their CI may be more likely to begin, or continue, signing with their child. This would imply that poor oral outcomes encourage use of signing, rather than the use of signing limiting oral outcomes.
Secondly, while the authors reported no statistically significant differences between groups at baseline, the actual data suggest clinically significant differences that were statistically non-significant due to small group sizes. Multi-layered and complex variables such as maternal education (69% vs 50%), income <$50k (32% vs 43%) and age of onset (0.3m v 1.2m) are well-known to influence language and reading outcomes (it is also unclear if age of onset is actually age of diagnosis). Additionally, auditory perception abilities at baseline were much lower in the group that continued to sign; indeed, the authors recognize early speech recognition predicts later speech intelligibility. Furthermore, type and frequency of post-implant rehabilitation – an educational experience independent of actual CI benefits – was unaccounted for.
Thirdly, it is unclear how the authors characterized “signing” and “percent of time signing”, or whether parents understood how ASL differs from other signing systems. Moreover, parents may have differed widely in interpreting and estimating the “percent” of time using sign at home. Hence this measurement may not reflect actual amount of signing and may not constitute a valid measurement of sign language exposure.
Finally, the suggestion that using sign language interferes with English language development for all deaf children requires acknowledging critical limitations of subject selection that were not discussed. As with other CI studies, subject selection was biased towards including children who succeed with their CI. The 40 children who met eligibility criteria but were excluded due to lack of follow-up data may have influenced the outcomes. Families experiencing poor progress with their child’s CI may stop their follow-up appointments, for instance. Or, families may decide to stop continuing with the CI and focus on sign language only. Since race and maternal education differed significantly between selected and non-selected groups, baseline data on the excluded families should be reported and evaluated for any “dropout” associations from the study. Additionally, some excluded families may comprise a fourth unreported group: families who did not sign at baseline but began signing during the follow-up periods. The absence of this group is particularly striking.
To satisfactorily demonstrate that sign language exposure harms spoken language development, the authors must demonstrate that: 1) all baseline measures were equivalent, 2) groups were not self-selected, and 3) participant attrition was not systematic. This study design met none of these conditions; we thus find the authors’ conclusions unconvincing at best.
We were pleased to see a study on speech and language outcomes in deaf children with cochlear implants (CI) was published in the June issue of Pediatrics. Geers and co-authors provided a framework for one of the largest studies of this kind to date.
However, it would benefit your readership to understand significant concerns that were raised in examining this data. The study reports associations between use of sign language in the home and reduced speech and language outcomes. We strongly question the interpretation of the data. The study cohorts were derived from subjective parental self-report of sign language use in the home, that included a variety of visual communication tools (“Signed Exact English, sign support”, etc) in addition to formalized sign language. While this article reports a correlation between exposure to signing and delayed spoken language and reading outcomes, the interpreted conclusions state causal relations that the study methodology fails to establish. The conclusions drawn exclusively from correlations, therefore, must be viewed with caution. The findings beg that more data be gathered, factors accounted for, and carefully constructed studies conducted and analyzed.
We would have liked to see a more robust discussion regarding why the authors reached the conclusion that “there was no advantage to parents’ use of sign language either before or after CI,” when it is contrary to a body of published peer-reviewed data regarding visual and spoken language acquisition. (1)(2)(3)(4) We are concerned that there are many deaf children who could benefit from sign language that will no longer be offered the opportunity, because this article implies that they may do better without it.
Currently, insurance-covered cochlear implantation is generally not available to deaf infants until at least 12 months of age. If no other language avenue is provided, this potentially leaves these children with lack of linguistic input during a critical and finite cognitive period of neuroplastic language development (5). Based on the collective body of current peer-reviewed evidence, we support maximizing early opportunities for deaf infants and children to access language, including supporting access to learning multiple languages as opposed to counseling families to choose only one.
Again, we are pleased to see more research emerging in the field, and hopefully the attention to these issues will stimulate more controlled prospective research regarding speech and language outcomes for deaf children with CI.
Sincerely,
Rachel St. John, MD, NCC, NIC-A, FAAP
Director: Family Focused Center for Deaf and Hard of Hearing Children
Associate Professor, Department of Otolaryngology
UT Southwestern Medical Center/Children’s Medical Center Dallas, TX
Terrell A. Clark, PhD
Director, Deaf and Hard of Hearing Program
Department of Otolaryngology & Communication Enhancement
Boston Children's Hospital
Assistant Professor, Department of Psychiatry
Harvard Medical School
Robert C. Nutt, MD, MPH, FAAP
Developmental & Behavioral Pediatrics of the Carolinas
Carolinas Health Care System
Charlotte, NC
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