Children who enter kindergarten healthy and ready to learn are more likely to succeed academically. Children at the highest risk for not being ready for school live in poverty and/or with chronic health conditions. High-quality early childhood education (ECE) programs can be used to help kids be ready for school; however, the United States lacks a comprehensive ECE system, with only half of 3- and 4-year-olds being enrolled in preschool, lagging behind 28 high-income countries. As addressing social determinants of health gains prominence in pediatric training and practice, there is increasing interest in addressing ECE disparities. Unfortunately, evidence is lacking for clinically based, early educational interventions. New interventions are being developed asynchronously in pediatrics and education, often without knowledge of the evidence base in the other’s literature. In this State-of-the-Art Review, we synthesize the relevant work from the field of education (searchable through the Education Resources Information Center, also known as the “PubMed” of education), combining it with relevant literature in PubMed, to align the fields of pediatrics and education to promote this timely transdisciplinary work. First, we review the education literature to understand the current US achievement gap. Next, we provide an update on the impact of child health on school readiness and explore emerging solutions in education and pediatrics. Finally, we discuss next steps for future transdisciplinary work between the fields of education and pediatrics to improve the health and school readiness of young children.
A child’s first 5 years are critical for healthy development. Multiple factors influence early child development, which impact a child’s overall life course.1,–4 Experiencing early adversity, particularly living in poverty, may have profound consequences on child development.1,5,6 Fortunately, when families are provided with support and resources, developmental challenges can be improved and trajectories altered.3,7,–15
The fields of early childhood education (ECE) and pediatrics share a common goal of supporting optimal child development during the first 5 years of life. One measure of success is being ready to start kindergarten. The evidence is strong: being ready to start school is strongly correlated with less grade repetition, higher graduation rates, lower-risk behaviors, lower teenage pregnancy and incarceration rates, and better adult health outcomes.16,–20 Unfortunately, many US children are not developmentally ready to start school, and the gap between low-income and minority students who are ready for school and their age-matched, upper-income peers is widening.20,–30 Those in pediatrics and ECE concur that this gap is concerning but face challenges in working together to address these educational disparities.
The United States lacks a cohesive early childhood system. The only societal sector that enjoys contact with near 100% of young children before school entry is the health care system. Nearly all children are born in hospitals, and during the critical time of early brain development from 0 to 5 years of age, doctors have trusted31,–33 and repeated contact with nearly all young children. Through frequent well-child encounters, the opportunity to improve rates of being ready to start school exists.28,34 However, pediatrics has not leveraged this unparalleled access to support the work of early childhood educators35,–37 because of a paucity of evidence for clinically based ECE interventions. But a shift is underway. New approaches in pediatrics to support early child development are emerging as the science of early brain development drives innovation, but they are being developed asynchronously and in isolation, often without knowledge of existing evidence in the education literature. In this State-of-the-Art Review, we aim to synthesize the relevant work from education, combining it with relevant literature from pediatrics to (1) align the school readiness (SR) literature for a shared working language; (2) catalog key features of past and emerging school ready interventions; and (3) highlight the opportunity for better collaboration between the health and educational sectors to improve SR.
To bring insights from the field of education to the work of pediatrics and vice versa, we collaborated with faculty at the Stanford University Graduate School of Education to review early sentinel and more recent relevant work. We begin by delving into the following challenges: From education, we briefly synthesize critical literature to define the academic achievement gap and SR gap. From the field of pediatrics, we provide an update on the intersection of child health and optimal development for SR last reviewed in 200538: how does chronic illness and prematurity undermine child development in the early years? We then shift our focus to emerging solutions: From the field of education, we appraise the state of evidence-based, 0-to-5 early childhood interventions shown to support parents in maximizing child development. Next, the emerging pediatric response to the SR gap is reviewed. We conclude with (1) a discussion of future opportunities for collaboration between the pediatric and educational sectors to mitigate the SR gap, and (2) the promise and challenges of engaging in transdisciplinary work between these 2 fields to improve the development of young US children.
Challenges
Section 1: Understanding the Academic Achievement Gap and SR Gap
A significant barrier to collaboration between those in ECE and pediatrics is that shared ideas are discussed in different ways. We begin here by defining common concepts. In education, the academic achievement gap is defined as the difference on varying educational measures between subgroups of students (eg, race and/or ethnicity or socioeconomic status), allowing for disparities in the academic achievement of students across academic areas (eg, math, early reading ability, and third-grade reading levels) and nonacademic skills (eg, self-control) to be described.39,–42 The term is further broken down into the “income achievement gap” (disparities in academic achievement between low-income and high-income students) and “racial and/or ethnic achievement gap,” including the "black-white achievement gap” (disparities in academic achievement between black and white students) and “Hispanic-white achievement gap” (disparities in academic achievement between Hispanic and white students). In this review, we default to the most specific terms possible to ensure clarity.
Multiple studies led to recognition of the academic achievement gap,39,–42 with crucial contribution from the Early Childhood Longitudinal Study of a kindergarten class from 1998 into adulthood (Table 1).43,44 The Early Childhood Longitudinal Study revealed racial and/or ethnic and income achievement gaps in math and early reading for black and white students, for Hispanic and white students, and for low- and high-income students.24,45,46
The SR and Academic Achievement Gaps
. | Gap . | SR Gap Reported as SD . | Source . |
---|---|---|---|
SR measure (before or at kindergarten entry) | Measured as a difference in developmental measures between subgroups of students present before or at kindergarten entry | ||
Cognitive skills before kindergarten entry | Racial and/or ethnica | Hispanic-white gap: White children scored 0.73 SD higher on Bayley Scales of Infant and Toddler Development mental scores at 24 mo than Mexican-American toddlers from Spanish-speaking homes and 0.45 SD higher than Hispanic toddlers in English-speaking homes. | Fuller et al47; Fuller and García Coll48 |
Hispanic-white gap: Mexican-American children show significantly lower math-concepts knowledge at 48 mo relative to white children. | Guerrero et al49 | ||
Early academic skills at kindergarten entry (math and reading) | Racial and/or ethnica | Black-white gap: Black children perform ∼0.3–0.5 SD lower on math and reading assessments compared with white children (math 0.55 SD; reading 0.32 SD). | Fryer and García Coll48; Reardon40; Reardon and Portilla24 |
Hispanic-white gap: Hispanic children perform ∼0.5–0.6 SD lower on math and reading assessments compared with white children (math 0.67 SD; reading 0.56 SD). | |||
Incomeb | Children from lower incomes (10th percentile) perform ∼1.1 SD lower on math and reading assessments compared with children from a higher income (90th percentile): math 1.17 SD and reading 1.06 SD. | Reardon and Portilla24 | |
Social-emotional SR at kindergarten entry (self-control, approaches to learning, externalizing behavior) | Racial and/or ethnic | Black-white gap: Black children perform ∼0.3 SD lower across social-emotional developmental measures compared with white children: Self-control 0.32 SD, approaches to learning 0.27 SD, externalizing behaviors 0.29 SD, and attention and engagement 0.36 SD. | Reardon and Portilla24; Garcia and Weiss4 |
Hispanic-white gap: The gap between Hispanic and white children on social-emotional developmental measures is negligible: Self-control 0.09 SD, approaches to learning 0.11 SD, and externalizing behaviors −0.03 SD. | Reardon and Portilla24; Garcia and Weiss4 | ||
Income | Children from lower incomes (10th percentile) perform ∼0.5 SD lower across social- emotional development measures compared with children from a higher income (90th percentile): Self-control 0.4–0.5 SD, approaches to learning 0.5–0.6 SD, externalizing behaviors 0.4 SD, and attention and engagement 0.63 SD. | Reardon and Portilla24; Garcia and Weiss4 | |
Educational measure | Academic achievement gap: Measured as a difference on an educational measure between subgroups of students | ||
Math (National Assessment of Educational Progress) | Racial and/or ethnic | Black-white gap: In 2007, the national black-white mathematics gap was 26 pointsc in grade 4 and 31 points in grade 8. White students had average scores of 26 points higher in fourth grade and 31 points higher in eighth grade than black students on a 0-to-500 scale. | Vanneman et al42 |
Hispanic-white gap: In 2009, the national Hispanic-white mathematics gap was 21 points in grade 4 and 26 points in grade 8. White students had average scores of 21 points higher in fourth grade and 26 points higher in eighth grade than Hispanic students on a 0-to-500 scale. | Hemphill and Vanneman39 | ||
Income | In 2011, the national income mathematics gap was 24 points in grade 4 and 28 points in grade 8. Students from higher incomes (ineligible for free lunch) had average scores 24 points higher in fourth grade and 28 points higher in eighth grade than students from lower incomes (eligible for free lunch) on a 0-to-500 scale. | National Center for Education Statistics45,46 | |
Reading (National Assessment of Educational Progress) | Racial and/or ethnic | Black-white gap: In 2007, the national black-white reading gap was 27 points in grade 4 and 26 points in grade 8. White students had average scores of 27 points higher in fourth grade and 26 points higher in eighth grade than black students on a 0-to-500 scale. | Vanneman et al42 |
Hispanic-white gap: In 2009, the national Hispanic-white reading gap was 25 points in grade 4 and 24 points in grade 8. White students had average scores of 25 points higher in fourth grade and 24 points higher in eighth grade than Hispanic students on a 0-to-500 scale. | Hemphill and Vanneman39 | ||
Income | In 2011, the national income reading gap was 29 points in grade 4 and 28 points in grade 8. Students from higher incomes (ineligible for free lunch) had average scores 24 points higher in fourth grade and 28 points higher in eighth grade than students from lower incomes (eligible for free lunch) on a 0-to-500 scale. | National Center for Education Statistics46 |
. | Gap . | SR Gap Reported as SD . | Source . |
---|---|---|---|
SR measure (before or at kindergarten entry) | Measured as a difference in developmental measures between subgroups of students present before or at kindergarten entry | ||
Cognitive skills before kindergarten entry | Racial and/or ethnica | Hispanic-white gap: White children scored 0.73 SD higher on Bayley Scales of Infant and Toddler Development mental scores at 24 mo than Mexican-American toddlers from Spanish-speaking homes and 0.45 SD higher than Hispanic toddlers in English-speaking homes. | Fuller et al47; Fuller and García Coll48 |
Hispanic-white gap: Mexican-American children show significantly lower math-concepts knowledge at 48 mo relative to white children. | Guerrero et al49 | ||
Early academic skills at kindergarten entry (math and reading) | Racial and/or ethnica | Black-white gap: Black children perform ∼0.3–0.5 SD lower on math and reading assessments compared with white children (math 0.55 SD; reading 0.32 SD). | Fryer and García Coll48; Reardon40; Reardon and Portilla24 |
Hispanic-white gap: Hispanic children perform ∼0.5–0.6 SD lower on math and reading assessments compared with white children (math 0.67 SD; reading 0.56 SD). | |||
Incomeb | Children from lower incomes (10th percentile) perform ∼1.1 SD lower on math and reading assessments compared with children from a higher income (90th percentile): math 1.17 SD and reading 1.06 SD. | Reardon and Portilla24 | |
Social-emotional SR at kindergarten entry (self-control, approaches to learning, externalizing behavior) | Racial and/or ethnic | Black-white gap: Black children perform ∼0.3 SD lower across social-emotional developmental measures compared with white children: Self-control 0.32 SD, approaches to learning 0.27 SD, externalizing behaviors 0.29 SD, and attention and engagement 0.36 SD. | Reardon and Portilla24; Garcia and Weiss4 |
Hispanic-white gap: The gap between Hispanic and white children on social-emotional developmental measures is negligible: Self-control 0.09 SD, approaches to learning 0.11 SD, and externalizing behaviors −0.03 SD. | Reardon and Portilla24; Garcia and Weiss4 | ||
Income | Children from lower incomes (10th percentile) perform ∼0.5 SD lower across social- emotional development measures compared with children from a higher income (90th percentile): Self-control 0.4–0.5 SD, approaches to learning 0.5–0.6 SD, externalizing behaviors 0.4 SD, and attention and engagement 0.63 SD. | Reardon and Portilla24; Garcia and Weiss4 | |
Educational measure | Academic achievement gap: Measured as a difference on an educational measure between subgroups of students | ||
Math (National Assessment of Educational Progress) | Racial and/or ethnic | Black-white gap: In 2007, the national black-white mathematics gap was 26 pointsc in grade 4 and 31 points in grade 8. White students had average scores of 26 points higher in fourth grade and 31 points higher in eighth grade than black students on a 0-to-500 scale. | Vanneman et al42 |
Hispanic-white gap: In 2009, the national Hispanic-white mathematics gap was 21 points in grade 4 and 26 points in grade 8. White students had average scores of 21 points higher in fourth grade and 26 points higher in eighth grade than Hispanic students on a 0-to-500 scale. | Hemphill and Vanneman39 | ||
Income | In 2011, the national income mathematics gap was 24 points in grade 4 and 28 points in grade 8. Students from higher incomes (ineligible for free lunch) had average scores 24 points higher in fourth grade and 28 points higher in eighth grade than students from lower incomes (eligible for free lunch) on a 0-to-500 scale. | National Center for Education Statistics45,46 | |
Reading (National Assessment of Educational Progress) | Racial and/or ethnic | Black-white gap: In 2007, the national black-white reading gap was 27 points in grade 4 and 26 points in grade 8. White students had average scores of 27 points higher in fourth grade and 26 points higher in eighth grade than black students on a 0-to-500 scale. | Vanneman et al42 |
Hispanic-white gap: In 2009, the national Hispanic-white reading gap was 25 points in grade 4 and 24 points in grade 8. White students had average scores of 25 points higher in fourth grade and 24 points higher in eighth grade than Hispanic students on a 0-to-500 scale. | Hemphill and Vanneman39 | ||
Income | In 2011, the national income reading gap was 29 points in grade 4 and 28 points in grade 8. Students from higher incomes (ineligible for free lunch) had average scores 24 points higher in fourth grade and 28 points higher in eighth grade than students from lower incomes (eligible for free lunch) on a 0-to-500 scale. | National Center for Education Statistics46 |
Racial and/or ethnic and income disparities in US children’s academic achievement exist before school entry and persist throughout primary and secondary school. This table is not meant to be comprehensive; we provide key references from the field of education to demonstrate the achievement and SR gaps.
The black-white achievement gap refers to disparities in academic achievement between black and white students; the Hispanic-white achievement gap refers to disparities in academic achievement between Hispanic and white students.
Disparities in academic achievement between students from low-income and high-income families.
The National Assessment of Educational Progress is an annual assessment across content subjects with scores reported on a 0-to-500–point scale. The gaps shown are the difference between the average score for the 2 subgroups.
Racial and/or ethnic and income gaps in early childhood development exist before school entry and are referred to as the SR gap. Pediatrics and ECE generally overlap, and those in the fields define SR as a child’s optimal development in 5 similar domains2,50,51 (Table 2) when compared with education researchers, who often assess 1 domain (eg, cognition) and less frequently consider SR as a whole.52,–56 Finally, international public health fields include children’s SR and the parents’ and communities’ readiness for school.57 As a result, there is no common language for defining, measuring, and discussing SR in collaborative work. On the basis of current definitions in the literature, we reconciled SR definitions and for the purpose of this review refer to SR as a child’s development across 5 domains: (1) cognitive development, (2) physical development, (3) language development, (4) social-emotional development, and (5) approaches to learning (Table 2).2,50,51
Understanding SR: Definitions Across Fields to Create a Shared Definition
SR in Clinical Pediatrics . | SR in ECE . | SR in Educational and Pediatric Research . | SR in International and/or Public Health . | SR in this SOTA . |
---|---|---|---|---|
Bright Futures states “the child will be challenged to demonstrate developmental capacities, including”2 the following: | HS Early Learning Outcomes Framework45: | Historically, researchers have assessed a range of dimensions of SR because no consistent metric of “overall” SR exists: | UNICEF states “the 3 dimensions of school readiness are”55 the following: | SR in this SOTA review combines the domains from ECE with components in clinical pediatrics for a shared definition. SR is a child being ready for kindergarten across 5 developmental domains: |
(1) Language and speech sufficient for communication and learning | (1) Approaches to learning | (1) Approaches to learning: Whether students have the tools necessary to work effectively in a classroom setting50 | (1) Ready children, focusing on children’s learning and development | (1) Cognitive development (abilities such as memory and early math skills) |
(2) Cognitive abilities necessary for learning sound: Letter associations, spatial relations, and number concepts | (2) Social emotional development | (2) Cognitive achievement: Performance in math, reading, or general knowledge51,54 | (2) Ready schools, focusing on the school environment along with practices that foster and support a smooth transition for children into primary school and advance and promote the learning of all children | (2) Physical development (including child health and nutrition, gross and fine motor skills, perception, vision, and hearing) |
(3) Ability to separate from family and caregivers | (3) Language and communication | (3) Maturation and social emotional development52 | (3) Ready families, focusing on parental and caregiver attitudes and involvement in their children’s early learning, and development and transition to school | (3) Language development (speech, communication, and literacy) |
(4) Self-regulation with respect to behavior, emotions, attention, and motor movement | (4) Cognition | (4) Academic domains and process of learning: What children are expected to know and do in a variety of academic domains and processes of learning before entering a formal classroom setting53 | (4) Social-emotional development (emotional health, relationships with adults and children) | |
(5) Ability to make friends and get along with peers | (5) Perceptual, motor, and physical development | (5) Approaches to learning (self-regulation [following class rules and group participation] and executive functioning [impulse control and focus, initiative, and curiosity]) | ||
(6) Ability to participate in group activities | ||||
(7) Ability to follow rules and directions | ||||
(8) Skills that others appreciate, such as singing or drawing | ||||
Pediatric providers promote SR by assessing and monitoring: | US Department of Education Essential Domains of SR46: | |||
• General health, including vision and hearing | (1) Language and literacy development | |||
• Child’s developmental trajectory | (2) Cognition and general knowledge (including early mathematics and early scientific development) | |||
• Emotional health of the child and family based on long-term child-family relationships | (3) Approaches toward learning | |||
• Child’s social development, skills, and difficulties | (4) Physical well-being and motor development | |||
• Specific child-based, family-based, school-based, and community-based risk factors | (5) Social and emotional development |
SR in Clinical Pediatrics . | SR in ECE . | SR in Educational and Pediatric Research . | SR in International and/or Public Health . | SR in this SOTA . |
---|---|---|---|---|
Bright Futures states “the child will be challenged to demonstrate developmental capacities, including”2 the following: | HS Early Learning Outcomes Framework45: | Historically, researchers have assessed a range of dimensions of SR because no consistent metric of “overall” SR exists: | UNICEF states “the 3 dimensions of school readiness are”55 the following: | SR in this SOTA review combines the domains from ECE with components in clinical pediatrics for a shared definition. SR is a child being ready for kindergarten across 5 developmental domains: |
(1) Language and speech sufficient for communication and learning | (1) Approaches to learning | (1) Approaches to learning: Whether students have the tools necessary to work effectively in a classroom setting50 | (1) Ready children, focusing on children’s learning and development | (1) Cognitive development (abilities such as memory and early math skills) |
(2) Cognitive abilities necessary for learning sound: Letter associations, spatial relations, and number concepts | (2) Social emotional development | (2) Cognitive achievement: Performance in math, reading, or general knowledge51,54 | (2) Ready schools, focusing on the school environment along with practices that foster and support a smooth transition for children into primary school and advance and promote the learning of all children | (2) Physical development (including child health and nutrition, gross and fine motor skills, perception, vision, and hearing) |
(3) Ability to separate from family and caregivers | (3) Language and communication | (3) Maturation and social emotional development52 | (3) Ready families, focusing on parental and caregiver attitudes and involvement in their children’s early learning, and development and transition to school | (3) Language development (speech, communication, and literacy) |
(4) Self-regulation with respect to behavior, emotions, attention, and motor movement | (4) Cognition | (4) Academic domains and process of learning: What children are expected to know and do in a variety of academic domains and processes of learning before entering a formal classroom setting53 | (4) Social-emotional development (emotional health, relationships with adults and children) | |
(5) Ability to make friends and get along with peers | (5) Perceptual, motor, and physical development | (5) Approaches to learning (self-regulation [following class rules and group participation] and executive functioning [impulse control and focus, initiative, and curiosity]) | ||
(6) Ability to participate in group activities | ||||
(7) Ability to follow rules and directions | ||||
(8) Skills that others appreciate, such as singing or drawing | ||||
Pediatric providers promote SR by assessing and monitoring: | US Department of Education Essential Domains of SR46: | |||
• General health, including vision and hearing | (1) Language and literacy development | |||
• Child’s developmental trajectory | (2) Cognition and general knowledge (including early mathematics and early scientific development) | |||
• Emotional health of the child and family based on long-term child-family relationships | (3) Approaches toward learning | |||
• Child’s social development, skills, and difficulties | (4) Physical well-being and motor development | |||
• Specific child-based, family-based, school-based, and community-based risk factors | (5) Social and emotional development |
SOTA, state-of-the-art review article; UNICEF, United Nations Children’s Fund.
Studies reveal income SR gaps in approaches to learning such as self-control between low- and high-income children4 and racial and/or ethnic SR gaps in language and cognitive development between Hispanic and white students.47,–49 SR gaps are consequential given that early academic skills are strong predictors of future academic success even when adjusting for ability and behavior,16 and SR gaps that are evident in kindergarten tend to persist throughout school.58,–62 Some estimate that the black-white test score gap at the end of high school could be reduced by at least half if the gap were eliminated at school entry.63
Although academic achievement and SR gaps are striking, improvements are also evident. Some academic achievement gaps narrowed.24 For example, from 1998 to 2010, the black-white, Hispanic-white, and income achievement gaps in math declined despite recent increases in income inequality.24 These changes correspond with improvements in early childhood experiences and alterations in parenting behaviors, particularly for lower-income children, with increases in books and reading in the home, access to educational games on computers, and interactions between parents and children during this period.64
High-quality preschool programs help narrow the SR gap. Participation in preschool has increased over time because of substantial public investment through federal and state preschool programs, such as Head Start (HS).65,–68 Although preschool enrollment increased for all groups from 1970 to 2010, a sizable gap remains between high- and low-income families in the percentage of children who are enrolled.69 Today, only 54% of 3- and 4-year-old US children are enrolled in preschool,70,71 and ∼2.5 million 4-year-old children lack access to publicly funded preschool programs.67 Pediatricians must work with those in ECE and local communities to close that gap and provide parenting support to maximize early child development.34,36
Section 2: Understanding Child Health and Early Development
There is limited research on how acute and chronic diseases impact young children’s early development and to what extent poverty further undermines development. In a 2005 review, Currie38 summarized the existing evidence collected by researchers who explored how poor child health contributes to racial and/or ethnic and income SR gaps. In this section, we provide an update on the impact that neonatal and chronic illnesses have on early development, which is essential to the shared definition of SR (Table 3).
The Impact of Child Health Conditions on SR: (1) Cognitive Development, (2) Physical Development, (3) Language Development, (4) Social-Emotional Development, and (5) Approaches to Learning
Child Health Condition . | SR Developmental Outcomes (1–5) . | Source . |
---|---|---|
Prematurity and early life exposures | ||
Low-birth wt | Cognitive impairments: Black women are twice as likely as white women to have low birth wt infants and subsequent cognitive impairment; the author estimates low birth wt accounts for ∼4% of the racial disparity in SR. | Reichman72 |
VLBW | SR gap: VLBW neonates with parents with a high school degree are more likely to be ready for school and require less special education services at age 5 years than those with parents with less than a high school degree. | Bauer and Msall73; Patrianakos-Hoobler et al74,75 |
Prematurity or gestational age | Cognitive and physical impairments: Neonates who are born prematurely have higher rates of cerebral palsy, intellectual disability, and/or visual or hearing disabilities; this leads to more special education needs at kindergarten entry. However, most have mastered basic skills in mobility, self-care, and social cognition by school entry. | Bauer and Msall73,76; Patrianakos-Hoobler et al75 |
Social emotional and approaches to learning impairments: Neonates who are born prematurely have more teacher-reported behavior problems and internalizing and attention disorders and struggle in 1 or more SR domains at kindergarten entry. VLBW infants with typical early development are still at risk regarding cognitive flexibility, nonverbal working memory, and planning. | Bauer and Msall73 | |
SR gap: Neonates who are born prematurely have lower reading and math scores in kindergarten. Association between gestational age and poor SR for reading and math is seen, with the suggestion of a threshold effect in children born at ≥32 wk gestation. | Shah et al77 | |
RDS | Risk factors for low SR: The most powerful factor for low SR is low SES, followed by male sex, chronic lung disease, and severe intraventricular hemorrhage. | Patrianakos-Hoobler et al74 |
Cognitive impairment: Of children with RDS requiring ventilation and surfactant, by age 2 y, 11% were disabled and 23% developmentally delayed. At age 5 y and 6 mo, 11% required intensive special education, and 21% required some special education. Overall, disability and delay at age 2 y was 92% and 50% predictive, respectively, of a lack of SR at age 5 y. | Patrianakos-Hoobler et al75 | |
Cognitive impairment: Children with delay at 2 y are more likely to need special education if they are of low SES. | — | |
LPTs | Developmental delays, lower IQ, lower SR: Infants born 34–36 wk gestation (LPT) have higher rates of cerebral palsy, higher rates of mental retardation, lower IQ scores, lower reading and math proficiency at school entry, and overall more teacher-reported behavior problems compared with term infants. ECLS-B study revealed that LPTs who are developmentally delayed at 24 mo have increased odds of impairment at school age (5 y). In multivariable analysis, LPTs had higher odds of worse total SR scores (adjusted odds ratio 1.52 [95% confidence interval 1.06–2.18]; P = .02). Many improved their performance by age 5 y; those less likely to improve by 5 y were of low SES, had primary language other than English, were black, and had low maternal education.a | Woythaler et al78 |
Neonatal encephalopathy associated with birth asphyxia | No impact on development: Children with mild neonatal encephalopathy associated with term birth asphyxia performed well on psychoeducational SR tests compared with children who are not disabled with moderate encephalopathy. Those with mild encephalopathy and no disabilities had normal and/or average performance on SR tests (1992). | Robertson and Finer79; Robertson and Grace77 |
Lower SR: Term infants with moderate encephalopathy with multiple antiepileptic drugs and abnormal neurologic exams in the ICU were positive predictors of lower SR at age 5.5 y (1988). No significant differences were due to social variables. Those with moderate encephalopathy may benefit from special preschool evaluation and modified early school interventions despite no significant disability that would qualify them for EI. | — | |
IUDE | Cognitive impairments (inattention and focusing): No association was found between IQ and SR skills; higher scores on inattentive skills and lower scores on focusing between IUDE children (n = 103) and non–IUDE-exposed children (n = 33) at age 4 y were seen. For both groups, a lack of preschool and low maternal education was associated with lower SR.a | Butz et al80 |
Poor school performance and SR: A descriptive review revealed that children with prenatal illicit opioid exposure had poorer performance on measures of language, verbal ability, mathematics, reading, impulse control, and SR skills. | Jain et al81 | |
Acute illnesses | ||
AOM and/or ear infection | Cognitive and behavior problems: AOM is common and often self resolves; but persistent effusions can impact hearing, language development, SR, and academic achievement (see chronic AOM). | Currie38; Eiserman et al82 |
Hearing screening: Hearing screening from birth to 3 y is often subjective. Otoacoustic emission testing is more sensitive and should be combined with clear screening and consultant with a pediatric audiologist in screening programs. | ||
OME and/or ear infection | Hearing, cognitive (math), and language delays: Black children (managed from 6 mo to 5 y of age); those with OME and hearing loss had a small association with expressive language delay, although not significant when corrected for SES, maternal education, and home environment. However, children with more episodes of OME scored lower in verbal math problems. Children with more hearing loss scored lower in math and recognizing incomplete words. Those with recurrent or more OME had lower SR measures. Home environment and SES were the strongest factors in academic outcomes.a | Roberts et al83 |
Chronic illnesses | ||
Chronic AOM | Developmentally at risk across domains: Developmentally normal children with chronic AOM are 1.28–1.35 times more likely to be developmentally at risk in physical well-being, social competence, emotional maturity, communication skills, and general knowledge. | Bell et al84 |
Asthma or chronic respiratory disease | Cognitive, social-emotional, and physical development risk: Asthma remains the No. 1 reason for emergency department visits, with a higher prevalence in black and Hispanic children. These children have higher hospitalization rates, more school absences, less disease control, higher rates of grade retention (18%), more learning disabilities, and lower kindergarten entry scores. Those with severe asthma require more support in school. | Currie38 |
SR skills: Urban preschool children with “asthma with limitation” had lower scores on SR skills compared with children without asthma (2.0 vs 2.5; P < .001). Parents are also more likely to report that children need help with learning. | Halterman et al85 | |
Physical and social-emotional development: School-aged children with chronic disease have increased odds of developmental vulnerability in physical wellbeing and social competence. | Bell et al84 | |
Epilepsy | No impact on development: Children 5–6 y of age with epilepsy had no significant developmental vulnerabilities compared with those with no chronic illness. | Bell et al84 |
ADHD | Social-emotional impairment (behavior problems, grade retention): Children with ADHD are more likely to struggle with basic school tasks (sitting still and listening); have lower SR, math, and reading scores; more disruptive behavior and difficulty taking turns; and higher grade retention and need for special education services. This is more common in children of low SESa (income <$20 000) and black boys (although whites evaluate more than blacks). Parent barriers for black children include stigma and financial constraints. | Currie38 |
Cognitive difficulties in preschool: Preschool children with ADHD symptoms (assessed in teacher and parent interviews) were more likely to have lower cognitive scores around abstract thinking, critical reasoning, and visual and motor skills. Children with ADHD symptoms were 5 times as likely to have compromised organizational skills. | Thomaidis et al86 | |
Allergies | Cognitive and behavioral problems: Children with allergies (seasonal, hay fever, respiratory, or other) can have cognitive and behavioral problems. | Currie38 |
SDB | Cognitive and school performance impairments: Pediatric SDB, such as obstructive sleep apnea, has substantial adverse effects on cognition and school performance, with daytime behavioral comorbidities being the most significant (daytime sleepiness, hyperactivity, restlessness). Preschool children at risk for SDB who snored “frequently” or “almost always” had lower executive functioning. | Karpinski et al87 |
Sleep duration | Lower development scores in multiple domains: Chinese preschool children (N = 553; mean age 5.46 y), parent-reported daily sleep over a wk, only 11% with recommended 11–12 h per night. Those with sleep deprivation (<7 h per night) had lower total scores on the Chinese Early Development Instrument total scores in emotional maturity, language and/or cognitive and prosocial behaviors and higher scores in hyperactivity and/or inattention. Children were not screened for snoring or SBD risk factors. Sleep deprivation was more likely in low-SES homes, with lower maternal education,a and in children who used devices >3 h per d. | Tso et al88 |
Lower SR: Israeli children who were unqualified (not school ready) for first grade compared with control children had shorter sleep durations, reduced sleep efficiency, increased nighttime awakenings, and more disordered sleep, insomnia, and hypersomnia. | Ravid et al89 | |
Dental caries | Cognitive impairment and behavior problems: Chronic pain from caries impacts behavior, attention, learning, and school attendance. Caries that go untreated impact language development due to issues eating and speaking and/or learning. Children are more likely to have untreated caries if they are Hispanic or black. | Currie38; CDC88 |
Malnutrition | Increased risk of lead poisoning: Children with malnutrition are more likely to have anemia and absorb more lead, which puts them at higher risk for lead poisoning. Malnutrition is more common in children who are poor because of food insecurity and a lack of access to micronutrients. | Currie38 |
Special conditions | ||
SCA | Lower SR scores: Small case-control study of 4–6 y olds; those with SCA had lower scores in multiple domains on the Pediatric Examination of Educational Readiness and normal intelligence on McCarthy Scales of Children’s Abilities. | Chua-Lim et al90 |
Language development: Small study; kindergarten children with SCA scored lower than matched controls on the Developing Skills Checklist in auditory discrimination and language. | Steen et al91 | |
Cerebral palsy | Communication and social-emotional development: preschool-aged children (4–5 y) with cerebral palsy performed significantly below their peers in 3 of 5 key readiness-to-learn skill areas, including mobility, self-care, social function, and communication abilities on the Pediatric Evaluation of Disability Inventory. | Gehrmann et al92 |
Pediatric Evaluation of Disability Inventory and communication using the Communication and Symbolic Behavior Scales Developmental Profile: Fifty-five percent of children demonstrated significantly delayed communication skills. These children qualify for EI in the United States, but no similar services exist in Australia for those <6 y of age. | — | |
Environmental exposures and hazards | ||
Poor housing | Poor housing and poor air quality are associated with higher rates of asthma.a | Currie38 |
Lead poisoning | Cognitive and behavioral impairments: Lead exposure is associated with lower IQ and more ADHD; black children are impacted more than white children. Poor areas have a higher incidence of lead exposure (historically through paint, gasoline, water, canned food; today through old pipes, residual in soil, and paint in old homes).a | Currie38 |
IDA | No impact on development: The incidence of IDA has decreased over time even in children who are disadvantaged because of iron-fortified formula and cereals and supplemental nutrition obtained through the WIC program. Little evidence exists to suggest IDA impacts cognitive development or SR. | Currie38 |
Maternal factors | ||
Maternal depression | Cognitive and social-emotional development: Maternal depression changes parent discipline (more physical force, less positive interactions) and worsens child outcomes, including more behavior problems, insecure attachment, cognitive problems, and reduced test scores by 0.33 SDs. Higher rates of prenatal depression and postpartum depression are seen in mothers who are poor.a | Currie38 |
Breast feeding | Promotes cognitive development: White women are more likely than black women to breastfeed (70% vs 40%, respectively). Breastfeeding supports cognitive development through disease prevention (less asthma, fewer ear infections); high long-chain fatty acid content supports brain development and increases infant-mother bonding and child’s IQ. | Currie38 |
Child Health Condition . | SR Developmental Outcomes (1–5) . | Source . |
---|---|---|
Prematurity and early life exposures | ||
Low-birth wt | Cognitive impairments: Black women are twice as likely as white women to have low birth wt infants and subsequent cognitive impairment; the author estimates low birth wt accounts for ∼4% of the racial disparity in SR. | Reichman72 |
VLBW | SR gap: VLBW neonates with parents with a high school degree are more likely to be ready for school and require less special education services at age 5 years than those with parents with less than a high school degree. | Bauer and Msall73; Patrianakos-Hoobler et al74,75 |
Prematurity or gestational age | Cognitive and physical impairments: Neonates who are born prematurely have higher rates of cerebral palsy, intellectual disability, and/or visual or hearing disabilities; this leads to more special education needs at kindergarten entry. However, most have mastered basic skills in mobility, self-care, and social cognition by school entry. | Bauer and Msall73,76; Patrianakos-Hoobler et al75 |
Social emotional and approaches to learning impairments: Neonates who are born prematurely have more teacher-reported behavior problems and internalizing and attention disorders and struggle in 1 or more SR domains at kindergarten entry. VLBW infants with typical early development are still at risk regarding cognitive flexibility, nonverbal working memory, and planning. | Bauer and Msall73 | |
SR gap: Neonates who are born prematurely have lower reading and math scores in kindergarten. Association between gestational age and poor SR for reading and math is seen, with the suggestion of a threshold effect in children born at ≥32 wk gestation. | Shah et al77 | |
RDS | Risk factors for low SR: The most powerful factor for low SR is low SES, followed by male sex, chronic lung disease, and severe intraventricular hemorrhage. | Patrianakos-Hoobler et al74 |
Cognitive impairment: Of children with RDS requiring ventilation and surfactant, by age 2 y, 11% were disabled and 23% developmentally delayed. At age 5 y and 6 mo, 11% required intensive special education, and 21% required some special education. Overall, disability and delay at age 2 y was 92% and 50% predictive, respectively, of a lack of SR at age 5 y. | Patrianakos-Hoobler et al75 | |
Cognitive impairment: Children with delay at 2 y are more likely to need special education if they are of low SES. | — | |
LPTs | Developmental delays, lower IQ, lower SR: Infants born 34–36 wk gestation (LPT) have higher rates of cerebral palsy, higher rates of mental retardation, lower IQ scores, lower reading and math proficiency at school entry, and overall more teacher-reported behavior problems compared with term infants. ECLS-B study revealed that LPTs who are developmentally delayed at 24 mo have increased odds of impairment at school age (5 y). In multivariable analysis, LPTs had higher odds of worse total SR scores (adjusted odds ratio 1.52 [95% confidence interval 1.06–2.18]; P = .02). Many improved their performance by age 5 y; those less likely to improve by 5 y were of low SES, had primary language other than English, were black, and had low maternal education.a | Woythaler et al78 |
Neonatal encephalopathy associated with birth asphyxia | No impact on development: Children with mild neonatal encephalopathy associated with term birth asphyxia performed well on psychoeducational SR tests compared with children who are not disabled with moderate encephalopathy. Those with mild encephalopathy and no disabilities had normal and/or average performance on SR tests (1992). | Robertson and Finer79; Robertson and Grace77 |
Lower SR: Term infants with moderate encephalopathy with multiple antiepileptic drugs and abnormal neurologic exams in the ICU were positive predictors of lower SR at age 5.5 y (1988). No significant differences were due to social variables. Those with moderate encephalopathy may benefit from special preschool evaluation and modified early school interventions despite no significant disability that would qualify them for EI. | — | |
IUDE | Cognitive impairments (inattention and focusing): No association was found between IQ and SR skills; higher scores on inattentive skills and lower scores on focusing between IUDE children (n = 103) and non–IUDE-exposed children (n = 33) at age 4 y were seen. For both groups, a lack of preschool and low maternal education was associated with lower SR.a | Butz et al80 |
Poor school performance and SR: A descriptive review revealed that children with prenatal illicit opioid exposure had poorer performance on measures of language, verbal ability, mathematics, reading, impulse control, and SR skills. | Jain et al81 | |
Acute illnesses | ||
AOM and/or ear infection | Cognitive and behavior problems: AOM is common and often self resolves; but persistent effusions can impact hearing, language development, SR, and academic achievement (see chronic AOM). | Currie38; Eiserman et al82 |
Hearing screening: Hearing screening from birth to 3 y is often subjective. Otoacoustic emission testing is more sensitive and should be combined with clear screening and consultant with a pediatric audiologist in screening programs. | ||
OME and/or ear infection | Hearing, cognitive (math), and language delays: Black children (managed from 6 mo to 5 y of age); those with OME and hearing loss had a small association with expressive language delay, although not significant when corrected for SES, maternal education, and home environment. However, children with more episodes of OME scored lower in verbal math problems. Children with more hearing loss scored lower in math and recognizing incomplete words. Those with recurrent or more OME had lower SR measures. Home environment and SES were the strongest factors in academic outcomes.a | Roberts et al83 |
Chronic illnesses | ||
Chronic AOM | Developmentally at risk across domains: Developmentally normal children with chronic AOM are 1.28–1.35 times more likely to be developmentally at risk in physical well-being, social competence, emotional maturity, communication skills, and general knowledge. | Bell et al84 |
Asthma or chronic respiratory disease | Cognitive, social-emotional, and physical development risk: Asthma remains the No. 1 reason for emergency department visits, with a higher prevalence in black and Hispanic children. These children have higher hospitalization rates, more school absences, less disease control, higher rates of grade retention (18%), more learning disabilities, and lower kindergarten entry scores. Those with severe asthma require more support in school. | Currie38 |
SR skills: Urban preschool children with “asthma with limitation” had lower scores on SR skills compared with children without asthma (2.0 vs 2.5; P < .001). Parents are also more likely to report that children need help with learning. | Halterman et al85 | |
Physical and social-emotional development: School-aged children with chronic disease have increased odds of developmental vulnerability in physical wellbeing and social competence. | Bell et al84 | |
Epilepsy | No impact on development: Children 5–6 y of age with epilepsy had no significant developmental vulnerabilities compared with those with no chronic illness. | Bell et al84 |
ADHD | Social-emotional impairment (behavior problems, grade retention): Children with ADHD are more likely to struggle with basic school tasks (sitting still and listening); have lower SR, math, and reading scores; more disruptive behavior and difficulty taking turns; and higher grade retention and need for special education services. This is more common in children of low SESa (income <$20 000) and black boys (although whites evaluate more than blacks). Parent barriers for black children include stigma and financial constraints. | Currie38 |
Cognitive difficulties in preschool: Preschool children with ADHD symptoms (assessed in teacher and parent interviews) were more likely to have lower cognitive scores around abstract thinking, critical reasoning, and visual and motor skills. Children with ADHD symptoms were 5 times as likely to have compromised organizational skills. | Thomaidis et al86 | |
Allergies | Cognitive and behavioral problems: Children with allergies (seasonal, hay fever, respiratory, or other) can have cognitive and behavioral problems. | Currie38 |
SDB | Cognitive and school performance impairments: Pediatric SDB, such as obstructive sleep apnea, has substantial adverse effects on cognition and school performance, with daytime behavioral comorbidities being the most significant (daytime sleepiness, hyperactivity, restlessness). Preschool children at risk for SDB who snored “frequently” or “almost always” had lower executive functioning. | Karpinski et al87 |
Sleep duration | Lower development scores in multiple domains: Chinese preschool children (N = 553; mean age 5.46 y), parent-reported daily sleep over a wk, only 11% with recommended 11–12 h per night. Those with sleep deprivation (<7 h per night) had lower total scores on the Chinese Early Development Instrument total scores in emotional maturity, language and/or cognitive and prosocial behaviors and higher scores in hyperactivity and/or inattention. Children were not screened for snoring or SBD risk factors. Sleep deprivation was more likely in low-SES homes, with lower maternal education,a and in children who used devices >3 h per d. | Tso et al88 |
Lower SR: Israeli children who were unqualified (not school ready) for first grade compared with control children had shorter sleep durations, reduced sleep efficiency, increased nighttime awakenings, and more disordered sleep, insomnia, and hypersomnia. | Ravid et al89 | |
Dental caries | Cognitive impairment and behavior problems: Chronic pain from caries impacts behavior, attention, learning, and school attendance. Caries that go untreated impact language development due to issues eating and speaking and/or learning. Children are more likely to have untreated caries if they are Hispanic or black. | Currie38; CDC88 |
Malnutrition | Increased risk of lead poisoning: Children with malnutrition are more likely to have anemia and absorb more lead, which puts them at higher risk for lead poisoning. Malnutrition is more common in children who are poor because of food insecurity and a lack of access to micronutrients. | Currie38 |
Special conditions | ||
SCA | Lower SR scores: Small case-control study of 4–6 y olds; those with SCA had lower scores in multiple domains on the Pediatric Examination of Educational Readiness and normal intelligence on McCarthy Scales of Children’s Abilities. | Chua-Lim et al90 |
Language development: Small study; kindergarten children with SCA scored lower than matched controls on the Developing Skills Checklist in auditory discrimination and language. | Steen et al91 | |
Cerebral palsy | Communication and social-emotional development: preschool-aged children (4–5 y) with cerebral palsy performed significantly below their peers in 3 of 5 key readiness-to-learn skill areas, including mobility, self-care, social function, and communication abilities on the Pediatric Evaluation of Disability Inventory. | Gehrmann et al92 |
Pediatric Evaluation of Disability Inventory and communication using the Communication and Symbolic Behavior Scales Developmental Profile: Fifty-five percent of children demonstrated significantly delayed communication skills. These children qualify for EI in the United States, but no similar services exist in Australia for those <6 y of age. | — | |
Environmental exposures and hazards | ||
Poor housing | Poor housing and poor air quality are associated with higher rates of asthma.a | Currie38 |
Lead poisoning | Cognitive and behavioral impairments: Lead exposure is associated with lower IQ and more ADHD; black children are impacted more than white children. Poor areas have a higher incidence of lead exposure (historically through paint, gasoline, water, canned food; today through old pipes, residual in soil, and paint in old homes).a | Currie38 |
IDA | No impact on development: The incidence of IDA has decreased over time even in children who are disadvantaged because of iron-fortified formula and cereals and supplemental nutrition obtained through the WIC program. Little evidence exists to suggest IDA impacts cognitive development or SR. | Currie38 |
Maternal factors | ||
Maternal depression | Cognitive and social-emotional development: Maternal depression changes parent discipline (more physical force, less positive interactions) and worsens child outcomes, including more behavior problems, insecure attachment, cognitive problems, and reduced test scores by 0.33 SDs. Higher rates of prenatal depression and postpartum depression are seen in mothers who are poor.a | Currie38 |
Breast feeding | Promotes cognitive development: White women are more likely than black women to breastfeed (70% vs 40%, respectively). Breastfeeding supports cognitive development through disease prevention (less asthma, fewer ear infections); high long-chain fatty acid content supports brain development and increases infant-mother bonding and child’s IQ. | Currie38 |
ADHD, attention-deficit/hyperactivity disorder; AOM, acute otitis media; ECLS-B, Early Childhood Longitudinal Program Birth Cohort; EI, early intervention; IDA, iron deficiency anemia; ICU, intensive care unit; IUDE, in utero drug exposure; LPT, late-preterm infant; OME, otitis media with effusion; RDS, respiratory distress syndrome; SBD, sleep-disordered breathing; SCA, sickle cell anemia; SES, socioeconomic status; VLBW, very low birth weight; WIC, Special Supplemental Nutrition Program for Women, Infants, and Children; —, not applicable.
Outcome is associated with poverty or low SES.
Prematurity and Early Life Exposures Impact Early Child Development
Children who are born prematurely or with prenatal and early life insults, including neonatal encephalopathy, cerebral palsy, and intrauterine drug exposure, are more likely to experience impairment in cognition, attention, and difficulty with learning later in life.38,72,–81,92,–94 Although specific developmental impairment varies by gestational age and neonatal conditions (Table 3), the most striking finding across conditions is that preterm and term children living in poverty are less likely to be ready for kindergarten, have less access to preschool, and receive less elementary school support than more advantaged peers who are born prematurely.75 Despite factors such as respiratory distress syndrome, chronic lung disease, or intraventricular hemorrhage, the most important factor when determining if late-preterm, premature, low birth weight or very low birth weight infants are ready for school is if they live in poverty.74,93,95 The evidence strongly suggests that intensive care coordination of developmental services, universal access to preschool, future school support, and antipoverty efforts can significantly close the SR gap in premature infants of low socioeconomic status,38,73,75,93 and researchers articulate these as an arena of potential collaboration between the ECE and pediatric communities.
Chronic Illness Impacts Early Child Development
Children with chronic illnesses are at risk for poor social-emotional and cognitive development96; conversely, our search revealed limited evidence that acute illness impacts early child development for SR. Many common chronic illnesses, such as obstructive sleep apnea, dental caries, allergies, asthma, sickle cell anemia, attention-deficit/hyperactivity disorder, malnutrition, and obesity, can impact a child’s early development across multiple SR domains (eg, social-emotional, cognitive, and language), leading to decreased early SR and long-term implications for academic achievement (Table 3).38,84,–91,97 In particular, chronic otitis media and chronic respiratory disease put children at higher odds of being developmentally vulnerable across multiple developmental domains at school entry.82,–85 Urban preschool children with “asthma that limits daily activity” have lower SR scores, and parents are more likely to report that their children need help in school.85 Pediatricians who care for children with chronic illness are responsible for more than their physical development because these conditions appear to impact multiple domains of development that are crucial to SR.
During our review of the child health literature, an important theme emerged: child poverty is independent and additive because it consistently undermines early child development. Children living in poverty face “double jeopardy” because poverty is a risk factor for poor SR,2 and being poor increases the likelihood of chronic health problems.20,38 Chronic illnesses, such as lead poisoning, asthma, dental caries, and malnutrition, continue to disproportionately impact poor children despite improved access to health care.20,38,98 The interactions between poverty, chronic illness, and child development require further transdisciplinary research.
Solutions
Section 1: The Field of Education’s Response to the Emerging Science
Early Childhood Experiences
Early childhood experiences differ across income groups. For example, for children aged 0 to 2 years, those who are not poor are more likely than children who are poor to experience warm parenting practices (hugging) than punitive parenting practices (spanking).99 Children who are not poor from birth to 2 years old also have greater access to children’s books and are more likely to be read to than their poor counterparts.99,–101 In their well-known study, Hart and Risley102 found that young children of parents who receive public assistance heard fewer than one-third as many words per hour as higher-income children, and the words were more likely to be negative.18,100,102,–107
Similarly, substantial differences exist in spending on child care, preschool participation, and access to educational resources, such as a home computer.108 It is important to note that lower-income families value SR18,109,110 but face innumerable financial, informational, and cultural barriers that limit access to high-quality child care, education,111 and preschool.112 For example, in 2010, ∼80% of 4-year-olds from families in the top one-fifth of the income distribution attended preschool compared with ∼60% of those in in the bottom one-fifth.69 These early childhood differences have significant consequences because children who experience responsive and stimulating care tend to score higher on assessments of physical, social-emotional, and cognitive development (literacy and numeracy) than those who do not.99,113,114
Lessons Learned From Education to Improve Early Childhood Development
Gaps in early childhood development and SR stem from multiple sources. Researchers in both education and pediatric literature report positive relationships between child development and a range of early childhood experiences, such as breastfeeding,115 rich language environments,116 access to educational resources such as books,117 and book reading.118,119 There is extensive evidence that the quality of verbal interactions between parents and children during play, reading, and daily routines improves child development for SR.100,102,104,–107,120,121 Maternal depression, stress,122,–124 and harsh parenting125 are associated with negative child outcomes. Although parenting programs have had mixed results,126 some interventions (including nurse home-visitation programs,11,14,15 family literacy courses offered by child care centers and elementary schools,127,128 and text-messaging programs129) have improved parenting practices and led to improved child outcomes.
ECE programs affect child development: preschool experiences have positive effects on children’s cognitive development.130,131 In contrast, informal care (provided by family and friends) tends to be lower in quality and lead to lower SR.132 The most famous preschool intervention study, the HighScope Perry Preschool study,133 had positive effects even well into adulthood. Researchers in a meta-analysis of studies between 1967 and 2007 estimate a treatment effect for preschools on achievement outcomes of approximately one-third of an SD.134 Preschool effects appear to be particularly strong for children from underserved backgrounds.135
Section 2: Assessing SR in Clinics and Schools
Developmental surveillance and screening is an important part of routine pediatric care, and although related, it is distinct from SR screening in schools and clinics.2,35 The American Academy of Pediatrics and Bright Futures outline universal developmental surveillance for each well-child check in language and gross and fine motor domains with supplemental screening tools at certain ages (9 months, 18 months, and 2.5 years) to identify delays.2 Tools commonly used for general development include the Ages and Stages Questionnaires, the Parents’ Evaluation of Developmental Status, and The Survey of Well-being of Young Children; tools used for autism spectrum disorder include the Modified Checklist for Autism in Toddlers, Revised, with Follow-up (known as M-CHAT-R/F); and for psychosocial screening, the Survey of Well-being of Young Children, the Parents’ Evaluation of Developmental Status, and the Ages and Stages Questionnaires are used from 0 to 5 years of age.2 The goal in early delay identification is to connect children and families with community-based services, such as early intervention programs, home visitation programs, HS, and school-based special education programs, as soon as possible to maximize each child’s learning potential.2,35,136 Using a single developmental screener for diagnosis, special education placement, or delaying school entry runs the risk of misclassification. Using multiple screeners reduces this risk.136,137
Although it is clear that children enter kindergarten with a range of SR skills, many school systems do not track incoming skills or skill development. Questions remain about how schools should assess students at kindergarten entry138 and how these Kindergarten Entry Assessments (KEAs) can be used to inform school, clinic, and community initiatives to improve SR gaps. States and school districts employ a wide range of KEAs, from parent intake forms to informal teacher observations or checklists and formative assessments.139 In 2014, >29 states were engaged in the development and implementation of various KEAs through federal grant programs, such as Race to the Top–Early Learning Challenge. The decentralized data present challenges because they do not allow for comparison across localities nor evaluation of programs or practices. Moreover, they are rarely available for community partners, such as the pediatric system, because of privacy restrictions.140 Although the evaluation of KEAs are underway to determine the long-term benefits for students, teachers, school districts, and states, there is no overarching effort to share data across the fields.
Like school system KEAs, efforts to assess SR in pediatric clinics have been underway for decades,141,–145 yet no single SR screener has emerged as a comprehensive, validated, culturally sensitive tool. Common tools range from simple methods (the “Draw-a-Person” test146) to more complex screeners, such as the Kaufman Assessment Battery for Children test, McCarthy Scales of Children’s Abilities, Preschool Readiness Experimental Screening Scale, and the Bracken School Readiness Assessment.141,147,–149 Many are heavily focused on cognitive and motor skills (eg, counting, and drawing a circle) rather than social emotional skills, which are equal if not better predictors of a child’s kindergarten success.2,150,–152 Barriers to office screening include a lack of validated multidomain tools available in multiple languages; time for administration and scoring; a structured clinic system to provide parents with feedback and activate requisite referrals; and attendant reimbursement structures. Accurate SR assessment requires the integration of screening tools with parent perspectives, preschool teachers, and the child’s social situation to best capture the child’s strengths and areas in which to intervene.2,35,141 Although pediatricians are integral to this work, it requires a strong partnership with community-based early childhood systems. Recent national efforts, such as Help Me Grow, provide states with a model to leverage existing resources to ensure that communities identify vulnerable children, link families to community-based services, and empower families to support healthy child development.153,–155 Overall, although both schools and clinics have a long history of using a wide range of assessments of children’s social emotional and cognitive development at kindergarten entry, a standard of practice and structural changes are needed in both settings.
Section 3: The Pediatric Response to Emerging Science
The combination of high trust31,–33,156,157 and near-universal access to 0- to 5-year-old children gives pediatricians an opportunity to address threats to optimal early childhood development (presented in Section 1), particularly in the most disenfranchised communities.103,104,158 On review of existing clinic-based SR interventions, we found interventions target the early educational gaps summarized in Section 1: parenting practices, verbal interaction, book sharing, and preschool access. In this section, we highlight the lessons learned from current interventions and provide an update on emerging models.
Lessons Learned From Pediatric Clinic-Based SR Interventions
Review of existing evidence-based SR interventions (fully or partially clinic-based) targeted 3 distinct outcomes that are essential to SR (defined in Table 2): parent-child interactions, social-emotional development, and language development. Parent coaching improves parent-child interactions (Video Interaction Project [VIP], Building Blocks, and HealthySteps), behavioral parent training improves social-emotional development (the Triple P Positive Parenting Program, Incredible Years, and Help Me Grow), and early literacy promotion improves language development, daily reading, and access to books at home (Reach Out and Read [ROR], Little by Little School Readiness Program, Book Start, Let’s Read, City’s First Readers, and Bright Beginnings). Because in-depth descriptions of these programs exist elsewhere,159 we summarize the key component(s) below.
Parent Coaching Improves Parent-Child Interactions
Although distinct in design, both the VIP and HealthySteps provide longitudinal, individualized 1:1 interactions between the parent(s) and a nonclinician provider to enrich parent-child interactions, such as reading, discipline, and daily parenting practices.158,160 After recurring, guided parent-child interactions in the clinic, VIP improved infant stimulation and parent reading,158 whereas HealthySteps improved positive parenting practices around discipline and sleep and increased access to services.160 The 1:1 interaction appears to be essential because Building Blocks, which mailed home developmental materials and toys, had less impact on infant stimulation and parenting stress than did VIP.158,161 Overall, in-person parent interactions with a nonclinician provider are an important feature for future interventions aimed at modifying parent-child interactions.
Behavioral Parent Training Improves Social-Emotional Development
Recent meta-analyses reveal that 2 community-based behavioral parent training programs, the Positive Parenting Program and Incredible Years, improve child behaviors and parenting skills,162,163 which in turn improves social-emotional development. The Incredible Years Series uses group visits with video reflection, whereas the Positive Parenting Program stratifies group visit size on the basis of parent need (eg, serious problem behaviors requiring individualized sessions). When these programs occur within a pediatric clinic, it allows health providers to refer, communicate, and support serious behaviors or family needs.159
Early Literacy Promotion Improves Language Development
The evidence-based clinic intervention with the most widespread dissemination to promote early literacy is ROR, in which pediatric clinicians provide books and model developmentally appropriate reading practices to low-income patients.164,–166 Evidence strongly supports that ROR increases parent and child book sharing, supports reading as a favorite activity, increases daily reading, increases the number of books at home, and promotes language development across English, Spanish, and non–English-speaking low-income children.166,–169 Since 2000, there have been multiple calls to incorporate ROR into all high-risk clinics.5,35,166 The key components of ROR have been successfully adapted in many settings: the Special Supplemental Nutrition Program for Women, Infants, and Children centers housing Little by Little; home visits with Book Start and 10 Books a Home; and community-wide campaigns to promote early literacy with City’s First Readers in New York City and Talk, Read, Sing across multiple communities (Oakland, CA, Tulsa, OK, Minneapolis, MN, and Miami, FL).159,170,–172
New Innovations and Clinic Linkage Programs
Several examples of child health systems in which families are directly linked to early education and education services exist. The first, a randomized trial in an urban pediatric clinic, improved HS enrollment via a computer-generated enrollment packet sent directly to HS (referral letter from a physician, physical examination, and immunization records) compared with providing parents with a list of HS phone numbers.173 This approach resulted in higher HS attendance, a higher likelihood of being on a waitlist, and increased direct contact of families by HS.174 This exemplifies how the clinic can bridge families and existing community resources. However, the reality of inadequate HS spots reduces this intervention’s impact. Second, library card distribution via clinic “prescriptions” are in the early stages of exploration.175 The strength here resides in parents’ reporting libraries as a frequented SR community resource,176,177 and library card ownership and use increase reading aloud by parents.178 A feasibility study revealed library card distribution by pediatric providers to be easy to incorporate into the workflow179; however, the link between card distribution and increasing library visits is not yet established. Third, a brief SR clinic appointment with a community health worker increased parent storytelling and library visits but needs further evaluation for generalizability.30,180 Last, low-cost evidence-based text-messaging programs129 empower preschool parents to promote SR, a “vaccine for SR,” so to speak. Once validated in a clinic setting, there is potential for widespread dissemination given the rapid and widespread adoption of text messaging from clinics to patients for other applications, such as appointment reminders.181
Section 4: Opportunities for Collaboration Between Pediatrics and Education to Mitigate the SR Gap
The near-universal, repeated, and trusted access to even the most disconnected families provides the scaffolding for pediatrics to elevate its role in supporting the early childhood system by putting forward a comprehensive framework, such as an “SR Clinic” designation. This echoes previous efforts to create change within medicine, such as the Baby-Friendly designation, which >500 hospitals carry.182 This voluntary accreditation would convey a type of practice that is focused on early childhood learning. Such a designation could be earned by (1) providing a range of evidence-based 0-to-5 educational interventions in the clinic (ROR, HealthySteps, and VIP) and (2) achieving high, population-based SR rates.
A second opportunity lies in leveraging technological advances: options that are scalable and sustainable include automatic HealthySteps referrals, library card distribution, and text-messaging systems. The ubiquity of HS and libraries, in addition to the rapid adoption of electronic health records, makes such an effort not a technological challenge but one of priorities. SR is foundational for educational success, and significant gaps in SR exist for our low-income families, contributing to the cycle of poverty. Pediatricians are well positioned and thus should move quickly to adopt best practices to give all kids the best chance to succeed.
A third innovation opportunity takes advantage of novel data capacity generated by using KEAs, allowing for linkages between the health and education sectors. Data from KEAs and educational outcomes could be used to drive and inform clinic, school, and community SR efforts on a hyperlocal level as well as align ECE interventions in both fields with shared outcome metrics. Important privacy concerns are governed independently through the Family Educational Rights and Privacy Act in education and the Health Insurance Portability and Accountability Act in medicine, requiring data sharing between the health and education systems to be thoughtful; nevertheless, the interoperability of data is an area of promise and rapid growth.183 We suggest that these challenges are, again, not technologically insurmountable but require leadership and vision to overcome.
Finally, the promise in transdisciplinary work between the fields of education and pediatrics is fundamentally hindered by siloed funding. There are notable and visionary exceptions,184,–186 but traditionally, extramural funding agencies and foundations solicit proposals from either the education or medicine field; thus, few opportunities exist to support innovative, transdisciplinary work. Ultimately, the sustainability challenge is health care financing, which cannot currently be used to reimburse providers for educational outcomes, although mechanisms to address this are being tried.187,188
Discussion
In this review, we attempt to bridge the education and pediatric literature to describe the challenges of addressing SR, catalog current evidence-based solutions, and highlight the value of integrative work compared with a health or education perspective alone. In challenges, we found that a lack of shared language across the fields drives inconsistency in how SR gaps are addressed in practice and in research. In solutions, we see that clinics are implementing SR interventions that complement, but do not replace, the known effects of high-quality preschool on a child’s overall development. Finally, we share new opportunities for collaboration to scale and increase the impact of SR interventions, such as an SR Clinic designation linked to school performance, but identify privacy restrictions, limited data sharing across fields, and restricted funding as implementation obstacles.
The evidence from both education and pediatrics is clear: low-income children start school farther behind than their advantaged peers. There is great opportunity for transdisciplinary work between those in education and pediatrics to drive the implementation of evidence-based solutions and ultimately improve the lives of young children.
Dr Peterson conceptualized the study, conducted the initial literature review, and wrote, critically reviewed, and revised the manuscript; Dr Loeb wrote the manuscript and critically reviewed and revised the manuscript; Dr Chamberlain conceptualized the study and wrote, critically reviewed, and revised the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.
FUNDING: Dr Chamberlain is supported as the Arline and Pete Harman Faculty Scholar by the Stanford University Child Health Research Institute.
Acknowledgments
We acknowledge the Stanford University librarians, Nicole Capdarest-Arest and Christopher Stave, for their incredible help with the literature review.
References
Competing Interests
POTENTIAL CONFLICT OF INTEREST: The authors 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.
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