Use of Medications for Opioid Use Disorder and Child Welfare Outcomes.

This cohort study investigates whether use of medications for opioid use disorder in pregnancy is associated with higher rates of infants discharge home with their mothers after birth.

Hospital Quality Indicators for Opioid-Exposed Infants: Results From an Expert Consensus Panel.

OBJECTIVE: To elicit expert consensus on quality indicators for the hospital-based care of opioid-exposed infants. METHODS: We used the ExpertLens online platform to conduct a 3-round modified Delphi panel. Expert panelists included health care providers, parents in recovery, quality experts, and public health experts. We identified 49 candidate quality indicators from a literature review and environmental scan. A total of 32 experts rated the importance and feasibility of the indicators using a 9-point Likert scale (Round 1), reviewed and discussed the initial ratings (round 2), and revised their original ratings (Round 3). Numeric scores corresponded with descriptive ratings of "low" (1-3), "uncertain" (4-6), or "high" (7-9). We measured consensus using the RAND/UCLA Appropriateness Method. RESULTS: Candidate quality indicators assessed structures, processes, and outcomes in multiple domains of clinical care. After the final round, 36 indicators were rated "high" on importance and feasibility. Experts had strong consensus on the importance of quality indicators to assess universal screening of pregnant people for substance use disorder, hospital staff training, standardized assessment for neonatal opioid withdrawal syndrome, nonpharmacologic interventions, and transitions of care. For indicators focused on processes and outcomes, experts saw feasibility as dependent on the information routinely documented in electronic medical records or billing records. To present a more complete picture of hospital quality, experts suggested development of composite measures that summarize quality across multiple indicators. CONCLUSIONS: A panel of experts reached consensus on a range of quality indicators for hospital-based care of opioid-exposed infants, with potential for use in national benchmarking, intervention studies, or hospital performance measurement.

Performance of Phenotype Algorithms for the Identification of Opioid-Exposed Infants.

OBJECTIVE: Observational studies examining outcomes among opioid-exposed infants are limited by phenotype algorithms that may under identify opioid-exposed infants without neonatal opioid withdrawal syndrome (NOWS). We developed and validated the performance of different phenotype algorithms to identify opioid-exposed infants using electronic health record data. METHODS: We developed phenotype algorithms for the identification of opioid-exposed infants among a population of birthing person-infant dyads from an academic health care system (2010-2022). We derived phenotype algorithms from combinations of 6 unique indicators of in utero opioid exposure, including those from the infant record (NOWS or opioid-exposure diagnosis, positive toxicology) and birthing person record (opioid use disorder diagnosis, opioid drug exposure record, opioid listed on medication reconciliation, positive toxicology). We determined the positive predictive value (PPV) and 95% confidence interval for each phenotype algorithm using medical record review as the gold standard. RESULTS: Among 41 047 dyads meeting exclusion criteria, we identified 1558 infants (3.80%) with evidence of at least 1 indicator for opioid exposure and 32 (0.08%) meeting all 6 indicators of the phenotype algorithm. Among the sample of dyads randomly selected for review (n = 600), the PPV for the phenotype requiring only a single indicator was 95.4% (confidence interval: 93.3-96.8) with varying PPVs for the other phenotype algorithms derived from a combination of infant and birthing person indicators (PPV range: 95.4-100.0). CONCLUSIONS: Opioid-exposed infants can be accurately identified using electronic health record data. Our publicly available phenotype algorithms can be used to conduct research examining outcomes among opioid-exposed infants with and without NOWS.

"The Problem's Bigger than We Are": Understanding How Local Factors Influence Child Welfare Responses to Substance Use in Pregnancy, A Qualitative Study.

State eligibility for certain federal child welfare funding requires a gubernatorial assurance that infants affected by substances receive plans of safe care (POSC). We conducted 18 interviews with state and county child welfare staff to understand how POSC has been implemented and found variability in practice driven by vague policy, challenges of cross-system collaboration, and a lack of knowledge about substance use disorder. Policy improvements should align requirements with POSC practice and create shared accountability with key partners.

Neonatal Opioid Withdrawal Syndrome Is Associated With Infant Foster Care Entry At The County Level.

Although the number of infants diagnosed with neonatal opioid withdrawal syndrome (NOWS) and the number of infants entering foster care have increased substantially in the US since 2009, analyses exploring their relationship are lacking. Using data from 580 US counties in eight US states from the period 2009-17, we examined the association of county rates of NOWS and county-level characteristics with infant foster care entries. In adjusted analyses, every one diagnosis of NOWS per ten births was associated with a 41 percent higher rate of infant foster care entry, and rural county residence was associated with a 19 percent higher rate of infant foster entry. A higher employment rate was associated with lower rates of infant foster care entry both overall and in urban counties when we stratified by rurality. These findings suggest that policy makers could use information about county characteristics to better target funding to support opioid-affected families at risk for foster care involvement.

HIV Infection and the Risk of World Health Organization-Defined Sudden Cardiac Death.

Background People living with HIV have higher sudden cardiac death (SCD) rates compared with the general population. Whether HIV infection is an independent SCD risk factor is unclear. Methods and Results This study evaluated participants from the Veterans Aging Cohort Study, an observational, longitudinal cohort of veterans with and without HIV infection matched 1:2 on age, sex, race/ethnicity, and clinical site. Baseline for this study was a participant's first clinical visit on or after April 1, 2003. Participants were followed through December 31, 2014. Using Cox proportional hazards regression, we assessed whether HIV infection, CD4 cell counts, and/or HIV viral load were associated with World Health Organization (WHO)-defined SCD risk. Among 144 336 participants (30% people living with HIV), the mean (SD) baseline age was 50.0 years (10.6 years), 97% were men, and 47% were of Black race. During follow-up (median, 9.0 years), 3035 SCDs occurred. HIV infection was associated with increased SCD risk (hazard ratio [HR], 1.14; 95% CI, 1.04-1.25), adjusting for possible confounders. In analyses with time-varying CD4 and HIV viral load, people living with HIV with CD4 counts <200 cells/mm3 (HR, 1.57; 95% CI, 1.28-1.92) or viral load >500 copies/mL (HR, 1.70; 95% CI, 1.46-1.98) had increased SCD risk versus veterans without HIV. In contrast, people living with HIV who had CD4 cell counts >500 cells/mm3 (HR, 1.03; 95% CI, 0.90-1.18) or HIV viral load <500 copies/mL (HR, 0.97; 95% CI, 0.87-1.09) were not at increased SCD risk. Conclusions HIV infection is associated with increased risk of WHO-defined SCD among those with elevated HIV viral load or low CD4 cell counts.

Well-being of Parents and Children During the COVID-19 Pandemic: A National Survey.

BACKGROUND: As the coronavirus disease pandemic spread across the United States and protective measures to mitigate its impact were enacted, parents and children experienced widespread disruptions in daily life. Our objective with this national survey was to determine how the pandemic and mitigation efforts affected the physical and emotional well-being of parents and children in the United States through early June 2020. METHODS: In June 2020, we conducted a national survey of parents with children age <18 to measure changes in health status, insurance status, food security, use of public food assistance resources, child care, and use of health care services since the pandemic began. RESULTS: Since March 2020, 27% of parents reported worsening mental health for themselves, and 14% reported worsening behavioral health for their children. The proportion of families with moderate or severe food insecurity increased from 6% before March 2020 to 8% after, employer-sponsored insurance coverage of children decreased from 63% to 60%, and 24% of parents reported a loss of regular child care. Worsening mental health for parents occurred alongside worsening behavioral health for children in nearly 1 in 10 families, among whom 48% reported loss of regular child care, 16% reported change in insurance status, and 11% reported worsening food security. CONCLUSIONS: The coronavirus disease pandemic has had a substantial tandem impact on parents and children in the United States. As policy makers consider additional measures to mitigate the health and economic effects of the pandemic, they should consider the unique needs of families with children.