Objective: African American youth are disproportionately overrepresented in low-resourced segregated urban neighborhoods. Consequently, they experience greater exposure to neighborhood risks and subsequent depressive symptoms. Neighborhood cohesion represents a protective factor for youth in such environments. However, the concept remains underexplored among African American youth. This study examines the psychometric properties of a modified version of the Neighborhood Cohesion Index (NCI) among African American youth living in public housing.
Method: Psychometric properties were assessed through exploratory and confirmatory factor analyses using data from African American youth (N = 235) living in public housing in two large northeastern cities.
Results: The EFA resulted in the use of a single-factor structure with two dropped items and good internal validity. Findings from the CFA indicated that model fit indices were unacceptable for chi-square and RMSEA (χ2 [62; N = 235] = 170.19, p < .001); RMSEA = 0.09 [90% CI: 0.071, 0.102]) but were acceptable for SRMR and CFI (SRMR = 0.06; CFI = 0.91) with three error covariances.
Conclusions: The modified NCI is not ideal for assessing neighborhood cohesion among this understudied population. Future research should prioritize psychometric testing alongside cognitive interviewing, to provide a contextualized measure of neighborhood cohesion for this population.
Objective: To explore the relationships between social and environmental factors and parenting self-efficacy (PSE) among mothers of preterm infants hospitalized in neonatal intensive care units (NICUs) using a social determinants of health (SDoH) framework.
Method: We analyzed data from a prospective cohort study that included 187 mother-infant dyads admitted to four NICUs in the Mountain West region between June 2017 and December 2019. We used multivariable linear regression models to assess the independent associations between maternal and infant characteristics and PSE.
Results: Our final multiple linear regression model predicting the efficacy score including maternal race/ethnicity, age, insurance, employment status before giving birth, gestational age, depression, and having other children was significant (F(12,160) = 3.17, p = .0004, adjusted R¬2 = .131). Significant predictors of PSE were race/ethnicity (β= 3.3, p = .022), having another child/children (β= 4.2, p = .005), and depression (β= -4.2, p = .004).
Conclusions: Findings suggest that social workers and medical practitioners should consider SDoH, such as insurance type, household income, and employment, along with traditional clinical indicators when assessing families' infant care needs. Social workers, medical practitioners, and researchers should be mindful of how implicit bias may influence the allocation of care and parental supports.
Objective: Extreme Risk Protection Orders (ERPO) allow a petitioner to file a civil order to temporarily restrict access to firearms among individuals ("respondents") deemed to be at extreme risk of harming themselves, others, or both. Although unable to file ERPOs for their clients in most states, health professionals may play a pivotal role in the ERPO process by recommending an eligible petitioner initiate the process. We describe the process of filing an ERPO when a healthcare, mental health, or social service professional contacted an ERPO petitioner.
Method: Court documents of ERPOs involving health professionals in Washington State between December 8th, 2016 and May 10th, 2019 were qualitatively analyzed (n=24). We constructed pen portraits from the documents and analyzed them using an inductive qualitative thematic approach.
Results: Themes included factors influencing the process by which each professional evaluated respondent behaviors, factors considered during assessment, factors influencing interpretation of respondent behaviors and subsequent provider response during a crisis. These influenced the outcome of the crisis event that led to ERPO filing.
Conclusions: Each professional group differed in their approach to risk assessment of respondent behaviors. Strategies to better coordinate and align approaches may improve the ERPO process.