"We Don't Want to Screen for the Sake of Screening": A Qualitative Evaluation of a Social Needs Screening and Referral Intervention in the NICU.

BACKGROUND: Low uptake of social determinants of health (SDH) screening and referral interventions within neonatal intensive care units (NICUs) is partly due to limited understanding of the best procedures to integrate this practice into routine clinical workflows. PURPOSE: To examine the feasibility and acceptability of an SDH screening and referral intervention in the NICU from the perspective of neonatal nurses; and to identify factors affecting implementation outcomes. METHODS: We conducted 25 semistructured interviews with NICU nurses. We used the Promoting Action on Research Implementation in Health Services (PARiHS) framework to guide interview questions and codebook development for directed content analysis. Themes were mapped onto the 3 PARiHS domains of context, evidence, and facilitation. FINDINGS: Analysis yielded 8 themes. Context: Nurses felt that stressors experienced by NICU families are magnified in a safety net environment. Nurses shared varying viewpoints of the roles and responsibilities for social care in the NICU, and feared that scarcity of community resources would make it difficult to address families' needs. Evidence: The intervention was perceived to increase identification of adverse SDH and provision of resources; and to potentially jump-start better caregiver and infant health trajectories. Facilitation: Procedures that improved acceptability included dynamic training and champion support, regular feedback on intervention outcomes, and strategies to reduce stigma and bias. CONCLUSION: We identified contextual factors, concrete messaging, and training procedures that may inform implementation of SDH screening and referral in NICU settings.

Implementing Social Risk Screening and Referral to Resources in the NICU.

OBJECTIVE: Social risk screening is recommended by the American Academy of Pediatrics, but this practice is underutilized in NICUs. To address this gap in social care, we aimed to increase rates of: (1) systematic social risk screening and (2) connection with community resources, each to ≥50% over a 14-month period. METHODS: We conducted a quality improvement initiative from November 2020 to January 2022. We adapted a screening tool and used Plan-Do-Study-Act cycles to integrate screening and referral to resources into clinical workflow. Primary outcome measures included the percentage of (1) families screened and (2) connection with resources. We examined screening by maternal race/ethnicity and primary language. Process measures were (1) time from admission to screening and (2) percentage of referrals provided to families reporting unmet needs and requesting assistance. We used statistical process control to assess change over time and χ2 tests to compare screening by race/ethnicity and language. RESULTS: The rates of systematic screening increased from 0% to 49%. Among 103 families screened, 84% had ≥1, and 64% had ≥2 unmet needs, with a total of 221 needs reported. Education, employment, transportation, and food were the most common needs. Screening rates did not vary by race/ethnicity or language. Among families requesting assistance, 98% received referrals. The iterative improvement of a written resource guide and community partnerships led to increased rates of connection with resources from 21% to 52%. CONCLUSION: Leveraging existing staff, our social risk screening and referral intervention built the capacity to address the high burden of unmet needs among NICU families.

The Association Between Racial Discrimination, Race, and Social Class With Health Among US Children.

OBJECTIVES: To assess the association between racial discrimination, race and ethnicity, and social class with child health and unmet health care needs among children in the United States (US). METHODS: We used a nationally representative sample of children aged 0 to 17 from the 2018-2019 National Survey of Children's Health. Bivariate and multivariable logistic regression were used to test associations between measures of discrimination, social class (income, employment, and education), and race and ethnicity with overall child health and unmet health care needs controlling for covariates identified a priori. RESULTS: Overall, 90.3% of children (n = 59,964) had excellent/very good overall health; 3.1% had unmet health care needs. Black, non-Hispanic children had 8.9 times the odds of having experienced racial discrimination compared to White, non-Hispanic children (95% confidence interval [CI], 7.0-11.4). Having special health care needs was significantly associated with greater odds of racial discrimination (OR 2.3; 95% CI, 1.9-2.8). In multivariable models, underrepresented race and ethnicity groups, lower household income level, and lower caregiver education were significantly associated with poorer overall child health. Conversely, experiencing discrimination was not significantly associated with excellent/good overall child health (adjusted odds ratios [aORs], 0.8; 95% CI, 0.6-1.1) Racial discrimination (aOR 2.7; 95% CI, 1.9-4.0) and lower household income (aOR 2.6; 95% CI, 1.8-3.5) were associated with significantly greater odds of unmet health care needs. CONCLUSION: Race and ethnicity and low social class were significantly associated with worse overall health while racial discrimination and low-income were associated with more unmet health care needs. These findings underscore the importance of policy and health care system innovations that address the effects of racism and poverty on child health.