Failure to thrive, brief resolved unexplained event, accidental ingestion, and drowning admissions commonly involve social work (SW) consultation. Care team biases likely influence SW consultation decisions. We examined whether SW consultations varied by patient race for these diagnoses.
We conducted a retrospective cohort study of children <6 years of age admitted for failure to thrive, brief resolved unexplained event, accidental ingestion, and drowning between July 1, 2012 and June 30, 2020 at a single, academic, standalone children’s hospital in an urban environment. The outcome was SW consultation; the predictor was patient race. We used multivariable logistic regression, adjusting for ethnicity, language, insurance, and diagnosis. We completed a supplemental chart review of a random sample of 10% of patients with SW consultation to determine the reasons that consultations were placed.
We included 1199 unique patients; 64% identified as white, and 22% identified as Black. Black patients had 1.61 times higher adjusted odds of SW consultation compared with white patients (95% confidence interval 1.14–2.29). Publicly insured, compared with privately insured, patients had 6.10 times higher adjusted odds of SW consultation (95% confidence interval 4.28–8.80). Upon supplemental chart review, Black patients had SW consultations that focused more often on abuse, neglect, and safety; this was also found for publicly insured patients. There was parity in consultation for resource needs across groups.
Black children were more likely than white children to receive SW consultation during hospitalization, as were publicly insured children compared with their privately insured peers; in supplemental review, this was not due to differences in consultations for resource needs. The standardization of SW consultation may promote equitable care.
Racism negatively affects care delivery, experience, and outcomes among racialized children.1,2 The interpersonal racism (ie, implicit and explicit racial biases) of health care workers may influence diagnostic, treatment, and referral decisions, contributing to health inequities. Children from historically marginalized racial and ethnic groups often are not given the benefit of the doubt; they experience delays in pain medication receipt and delayed evaluation, diagnosis, and management of common conditions like appendicitis and depression.1,3,4 Health care worker biases may shape how caregivers are viewed, potentially heightening or dampening suspicions of abuse or neglect.5
Social workers are vital members of interdisciplinary pediatric hospital medicine (PHM) teams. They evaluate contextual challenges regarding social needs and provide connections to health care or community-based resources. Medical care teams also seek guidance from social workers regarding suspected abuse or neglect.6 Biases may influence decisions to request social work (SW) consultation during a child’s hospitalization.
Failure to thrive (FTT), brief resolved unexplained event (BRUE), accidental ingestion, and drownings are common admitting diagnoses in which abuse or neglect are considered in otherwise healthy children.7–11 The decision to consult SW is often made by the medical care team. It is not known how patient characteristics affect the likelihood of SW consultation. Thus, we sought to determine how SW consultation varied for children admitted with FTT, BRUE, accidental ingestion, and drowning. We hypothesized that SW consultations would occur more frequently for Black patients compared with white patients.
Methods
Study Design and Population
We conducted a retrospective cohort study at 1 academic quaternary care children’s hospital in an urban setting. We included patients <6 years of age discharged from the PHM service between July 1, 2012 and June 30, 2020 with admission diagnoses of FTT, BRUE, accidental ingestion, and drowning. Diagnoses were identified using International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, 10th Revision (ICD-10) codes (Supplemental Information). For patients with multiple encounters, only the first was included. We excluded patients on the PHM complex care service because all receive SW consultations. Patient age at admission, sex, race, ethnicity, primary insurance, secondary insurance, length-of-stay, and presence of SW consultation orders and SW notes were obtained from the electronic health record.
Included patients were those seen by social workers after consult order placement by the medical care team. At our institution, SW consultations are performed by the social worker assigned to the unit on weekdays and by a covering social worker on nights and weekends; SW consultation is not protocolized for the selected diagnoses.
This study was deemed exempt by the institutional review board.
Variables
Our primary dependent variable was SW consultation, defined as having a consultation order placed or having a SW note documented during the admission. Our primary independent variable was patient race, considered a proxy for racism. Per our institutional standard, race is documented according to family self-report; up to 3 races can be selected. We used categories of Black, multiracial (≥2 races selected), white, and other, a category created for analytic purposes, which included those identified as American Indian or Alaska Native, Asian, and Native Hawaiian or Pacific Islander, each <2% of our study population. Ethnicity was classified as Hispanic and non-Hispanic, categorized separately from race in our system. Language was defined as English, Spanish, or other. Insurance was defined as public, private, or unknown.
We selected and reviewed 10% of the included charts with SW consultation to identify reasons for consultation. We first grouped charts by diagnosis, race, and insurance; then, we randomly selected charts for review within each grouping, proportional to our total population. Reviewed charts encompassed all study years. We reviewed SW notes, other team member notes, and consultation orders to identify consultation reason(s). We identified 3 categories, including safety, abuse, or neglect concern, resource needs, and other, and >1 category could be selected.
Analysis
We used χ2 or Fisher’s exact tests to evaluate bivariate associations between SW consultation and race, diagnosis, and relevant covariates. We used multivariable logistic regression to assess for independent associations between SW consultation and race, adjusting for diagnosis, ethnicity, language, and insurance. In a post hoc analysis, we tested a race-by-insurance interaction term within the model. R software was used for statistical analyses.12
Results
A total of 1341 patients met the initial inclusion criteria. After excluding 109 repeat encounters and 33 patients admitted to our complex care service, 1199 encounters remained for analysis, 682 with SW consultations (57%), as follows: 806 FTT, 345 BRUE, 26 accidental ingestion, and 22 drowning. Twenty-two percent of patients were identified as Black, 64% were identified as white, and 7% were identified as multiracial (Table 1). Fifty-four percent of patients were male and <5% identified as Hispanic; 96% of families had a primary language of English and 77% were publicly insured.
Patient Demographics by Diagnosis
. | Overall (n = 1199) . | FTT (n = 806) . | BRUE (n = 345) . | Ingestion (n = 26) . | Drowning (n = 22) . |
---|---|---|---|---|---|
Age, y, median (IQR) | 0.22 (0.09–0.53) | 0.25 (0.10–0.55) | 0.13 (0.06–0.24) | 2.13 (1.45–2.64) | 1.88 (1.20–3.46) |
Sex, n (%) | |||||
Female | 554 (46%) | 366 (45%) | 166 (48%) | 13 (50%) | 9 (41%) |
Male | 645 (54%) | 440 (54%) | 179 (52%) | 13 (50%) | 13 (59%) |
Ethnicity, n (%) | |||||
Hispanic | 54 (4.5%) | 33 (4.1%) | 21 (6.1%) | 0 (0%) | 0 (0%) |
Non-Hispanic | 1135 (95%) | 768 (95%) | 321 (93%) | 25 (96%) | 21 (95%) |
Unknown | 10 (0.8%) | 5 (0.6%) | 3 (0.9%) | 1 (3.8%) | 1 (4.5%) |
Race, n (%) | |||||
Asian | 17 (1.4%) | 15 (1.9%) | 2 (0.6%) | 0 (0%) | 0 (0%) |
Black | 258 (22%) | 187 (23%) | 64 (19%) | 6 (23%) | 1 (4.5%) |
Multiracial | 87 (7.3%) | 57 (7.1%) | 24 (7.0%) | 2 (7.7%) | 4 (18%) |
Native Hawaiian or Other Pacific Islander | 1 (<0.1%) | 0 (0%) | 1 (0.3%) | 0 (0%) | 0 (0%) |
Other | 30 (2.5%) | 22 (2.7%) | 7 (2.0%) | 0 (0%) | 1 (4.5%) |
Unknown | 36 (3.0%) | 24 (3.0%) | 11 (3.1%) | 0 (0%) | 1 (4.5%) |
White | 770 (64%) | 501 (62%) | 236 (68%) | 18 (69%) | 15 (68%) |
Language, n (%) | |||||
English | 1159 (96%) | 777 (96%) | 334 (97%) | 26 (100%) | 22 (100%) |
Spanish | 24 (2.0%) | 17 (2.1%) | 7 (2.0%) | 0 (0%) | 0 (0%) |
Other | 16 (1.3%) | 12 (1.5%) | 4 (1.2%) | 0 (0%) | 0 (0%) |
Insurance provider, n (%) | |||||
Private | 257 (21%) | 161 (20%) | 84 (24%) | 3 (12%) | 9 (41%) |
Public | 921 (77%) | 634 (79%) | 254 (74%) | 22 (85%) | 11 (50%) |
Unknown | 21 (2%) | 11 (1%) | 7 (2%) | 1 (4%) | 2 (9%) |
. | Overall (n = 1199) . | FTT (n = 806) . | BRUE (n = 345) . | Ingestion (n = 26) . | Drowning (n = 22) . |
---|---|---|---|---|---|
Age, y, median (IQR) | 0.22 (0.09–0.53) | 0.25 (0.10–0.55) | 0.13 (0.06–0.24) | 2.13 (1.45–2.64) | 1.88 (1.20–3.46) |
Sex, n (%) | |||||
Female | 554 (46%) | 366 (45%) | 166 (48%) | 13 (50%) | 9 (41%) |
Male | 645 (54%) | 440 (54%) | 179 (52%) | 13 (50%) | 13 (59%) |
Ethnicity, n (%) | |||||
Hispanic | 54 (4.5%) | 33 (4.1%) | 21 (6.1%) | 0 (0%) | 0 (0%) |
Non-Hispanic | 1135 (95%) | 768 (95%) | 321 (93%) | 25 (96%) | 21 (95%) |
Unknown | 10 (0.8%) | 5 (0.6%) | 3 (0.9%) | 1 (3.8%) | 1 (4.5%) |
Race, n (%) | |||||
Asian | 17 (1.4%) | 15 (1.9%) | 2 (0.6%) | 0 (0%) | 0 (0%) |
Black | 258 (22%) | 187 (23%) | 64 (19%) | 6 (23%) | 1 (4.5%) |
Multiracial | 87 (7.3%) | 57 (7.1%) | 24 (7.0%) | 2 (7.7%) | 4 (18%) |
Native Hawaiian or Other Pacific Islander | 1 (<0.1%) | 0 (0%) | 1 (0.3%) | 0 (0%) | 0 (0%) |
Other | 30 (2.5%) | 22 (2.7%) | 7 (2.0%) | 0 (0%) | 1 (4.5%) |
Unknown | 36 (3.0%) | 24 (3.0%) | 11 (3.1%) | 0 (0%) | 1 (4.5%) |
White | 770 (64%) | 501 (62%) | 236 (68%) | 18 (69%) | 15 (68%) |
Language, n (%) | |||||
English | 1159 (96%) | 777 (96%) | 334 (97%) | 26 (100%) | 22 (100%) |
Spanish | 24 (2.0%) | 17 (2.1%) | 7 (2.0%) | 0 (0%) | 0 (0%) |
Other | 16 (1.3%) | 12 (1.5%) | 4 (1.2%) | 0 (0%) | 0 (0%) |
Insurance provider, n (%) | |||||
Private | 257 (21%) | 161 (20%) | 84 (24%) | 3 (12%) | 9 (41%) |
Public | 921 (77%) | 634 (79%) | 254 (74%) | 22 (85%) | 11 (50%) |
Unknown | 21 (2%) | 11 (1%) | 7 (2%) | 1 (4%) | 2 (9%) |
IQR, interquartile range.
There were significant bivariate associations between SW consultation and patient race across all assessed diagnoses; 72% of Black patients received SW consultation compared with 64% of multiracial patients and 52% of white patients (P < .001). Similar patterns were noted for each specific diagnosis. For FTT, 83% of Black patients received a SW consultation, compared with 70% for multiracial patients and 61% for white patients (P < .001). For BRUE, SW consultation was requested for 36% of Black patients, 42% of multiracial patients, and 27% of white patients (P < .05). For accidental ingestions and drownings, all Black and multiracial patients received SW consultations, whereas not all white patients received them; however, this finding did not reach statistical significance.
The adjusted odds of SW consultation for Black patients were 1.61 times higher than for white patients (95% confidence interval 1.14–2.29; Table 2). The odds of SW consultation for those with public insurance were 6.1 times higher than for those with private insurance (95% confidence interval 4.28–8.80). We observed no association between SW consultation and ethnicity or language; however, just 4.5% of included patients were Hispanic, and <4% spoke a language other than English. When race-by-insurance was analyzed, the interaction of race and insurance was not significant.
Multivariable Logistic Regression Model Assessing Association Between SW Consultation and Race
. | Adjusted Odds Ratio (95% Confidence Interval) . |
---|---|
Race | |
Black | 1.61 (1.14–2.29)* |
Multiracial | 1.60 (0.93–2.78) |
Other** | 0.53 (0.22–1.37) |
White | Ref |
Insurance | |
Public | 6.10 (4.28–8.80)* |
Private | Ref |
Ethnicity | |
Non-Hispanic | 0.85 (0.36–2.01) |
Hispanic | Ref |
Language | |
Spanish | 0.38 (0.10–1.42) |
Other | 0.53 (0.11–1.42) |
English | Ref |
Diagnosis | |
FTT | 5.71 (4.22–7.78)* |
Ingestion | 70.80 (13.61–1309.32)* |
Drowning | 33.03 (9.61–154.76)* |
BRUE | Ref |
. | Adjusted Odds Ratio (95% Confidence Interval) . |
---|---|
Race | |
Black | 1.61 (1.14–2.29)* |
Multiracial | 1.60 (0.93–2.78) |
Other** | 0.53 (0.22–1.37) |
White | Ref |
Insurance | |
Public | 6.10 (4.28–8.80)* |
Private | Ref |
Ethnicity | |
Non-Hispanic | 0.85 (0.36–2.01) |
Hispanic | Ref |
Language | |
Spanish | 0.38 (0.10–1.42) |
Other | 0.53 (0.11–1.42) |
English | Ref |
Diagnosis | |
FTT | 5.71 (4.22–7.78)* |
Ingestion | 70.80 (13.61–1309.32)* |
Drowning | 33.03 (9.61–154.76)* |
BRUE | Ref |
Adjusted logistic regression model covariates included race, ethnicity, language, insurance, and diagnosis.
* P < .05.
** Other category includes Asian, Native Hawaiian or Pacific Islander, and other categories.
We reviewed 67 patient charts, 10% of those with SW consultations (Fig 1). Consultations for abuse, neglect, or safety concerns were more common among Black compared with white patients (68% vs 50%). However, SW consultations for resource needs were similar between Black and white patients (41% vs 48%). Compared with privately insured patients, those who were publicly-insured were more likely to have referrals placed for abuse, neglect, or safety (58% vs 38%) and less likely to have referrals placed for resource needs (44% vs 63%).
Social work consultation reason, by race and insurance provider, obtained from in-depth chart review of 10% of those receiving social work consultation. Of 67 charts reviewed, 36% had >1 reason for social work consultation, 54% of patients were white, 38% were Black, 8% were multiracial, 83% were publicly insured, and 17% were privately insured.
Social work consultation reason, by race and insurance provider, obtained from in-depth chart review of 10% of those receiving social work consultation. Of 67 charts reviewed, 36% had >1 reason for social work consultation, 54% of patients were white, 38% were Black, 8% were multiracial, 83% were publicly insured, and 17% were privately insured.
Discussion
Among children admitted for common PHM conditions in which abuse or neglect are considered as underlying etiologies, Black patients and publicly insured patients were more likely to receive SW consultations than their white and privately insured counterparts, respectively. We found associations between SW consultation and patient race for FTT and BRUE; these diagnoses often require further workup or investigation to determine underlying etiologies. As part of this workup, care team biases may affect how frequently teams consider abuse or neglect.
Our findings align with previous studies revealing racial and ethnic disparities in abuse evaluations.10,13,14 Additionally, SW consultation rates were high (>80%) across all racial groups for patients hospitalized for accidental ingestion and drowning. Associations were not significant for these diagnoses, although, it was notable that SW consultation was obtained for all Black and multiracial patients but not all white patients. Thus, provider bias may still be at play. The potential implications, including the overdiagnosis of abuse or neglect in Black patients or underdiagnosis of such conditions in white patients (or rarer pursuit of safety assessments), cannot be ignored.
Care teams engage social workers to investigate suspected abuse or neglect. Social workers play a critical part in addressing social needs and supporting family mental health. We acknowledge that SW consultation across these common diagnoses may be requested for multiple reasons. However, we noted Black patients and publicly insured patients had SW consultations more often for safety, abuse, or neglect concerns. This supports our hypothesis that provider bias may affect such workup for these concerns.
Black and low-income children are overrepresented at every stage of the child welfare system and evaluations of suspected abuse in emergency settings are likely biased.15 Our study provides insight into potential contributing factors. Care teams’ heightened suspicions of abuse or neglect in Black and socioeconomically disadvantaged children hospitalized with common pediatric diagnoses may perpetuate inequitable rates of SW consultation, which may lead to increases in referrals to child protective services.7 To provide equitable care, we should consider standardized SW involvement (eg, automatic referrals, utilization of standardized screening tools to prompt SW referrals). In addition, the promotion of increased representation across the medical field and additional implicit bias training for all care team members could promote the provision of more equitable care. Standardization and reducing variability at every stage of patient workup and treatment of these diagnoses may facilitate early identification of children at risk for abuse or neglect, lead to more prompt intervention, and provide resources and support to families in need.16–18
Our study has limitations. First, our data are from a single children’s hospital; results may not be generalizable. Second, this was a retrospective study; thus, we are unable to assess causality between dependent and independent variables. Our chart review, however, provided support for our conclusions. Future qualitative insights from care team members and families would help to further contextualize our findings. Finally, we did not explore the demographics of consulting providers, which has been shown elsewhere to affect patient experience and outcomes.19–21
Conclusions
Our findings indicate the potential overassessment of abuse or neglect for Black children and publicly insured children or an underassessment for white children and privately insured children during admissions for common pediatric diagnoses. Standardized approaches to SW consultation may facilitate more equitable, less biased care.
Drs Fanta and Segev conceptualized and designed the study, led data collection, analysis, and interpretation, and drafted the initial manuscript; Drs Unaka and Beck supervised and conceptualized and designed the study and supervised data collection, analysis, and interpretation; Ms Litman contributed to the design of the study; and all authors reviewed and revised the manuscript, approved the final manuscript as submitted, and agree to be accountable for all aspects of the work.
COMPANION PAPER: A companion to this article can be found online at www.hosppeds.org/cgi/doi/10.1542/hpeds.2024-007790.
References
Competing Interests
CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no potential conflicts of interest relevant to this article to disclose. This study was deemed exempt by Cincinnati Children’s Institutional Review Board.
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