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Objective: Establishing timely language intervention for children who are deaf or hard of hearing is crucial for their cognitive and language development. Newborn hearing screening (NBHS) programs are now commonplace, but disparities in receipt of support may exist. This study seeks to investigate if states with more diverse populations, less educated mothers, fewer resources, and no legislative mandate of screening have lower rates of milestone completion. Study Design: This is a cross‐sectional study. Setting: Data describing screening, identification, and intervention rates from individual state NBHS programs were aggregated by the Centers for Disease Control and Prevention from 2007 to 2017. Methods: Regression models were fitted to assess associations between these outcomes and state demographic and policy variables. Forest plots from meta‐analyses were used to obtain nationwide pooled estimates of the relative risk (RR) of maternal predictors from individual state data. Results: State averages of maternal education level, age, and race/ethnicity were found to be significantly associated with various outcomes. The presence of program funding and legislative state mandate were associated with multiple improved outcomes. Meta‐analyses identified increased RRs for most outcomes based on maternal education less than high school, age 19 and below, and non‐White race/ethnicity. Conclusion: There is evidence of disparities in access to and timing of screening, identification testing, and intervention by various demographic and policy factors at the state level. More research is needed to further explore these relationships and determine how to address existing disparities in order to provide more equitable care. [ABSTRACT FROM AUTHOR]

Background: We examine the association between family structure and children's health care utilization, barriers to health care access, health, and schooling and cognitive outcomes and assess whether socioeconomic status (SES) accounts for those family structure differences. We advance prior research by focusing on understudied but increasingly common family structures including single father families and five different family structures that include grandparents. Methods: Our data on United States children aged birth through 17 (unweighted N = 198,864) come from the 1997-2013 waves of the National Health Interview Survey, a nationally representative, publicly available, household-based sample. We examine 17 outcomes across nine family structures, including married couple, cohabiting couple, single mother, and single father families, with and without grandparents, and skipped-generation families that include children and grandparents but not parents. The SES measures include family income, home ownership, and parents' or grandparents' (depending on who is in the household) employment and education. Results: Compared to children living with married couples, children in single mother, extended single mother, and cohabiting couple families average poorer outcomes, but children in single father families sometimes average better health outcomes. The presence of grandparents in single parent, cohabiting, or married couple families does not buffer children from adverse outcomes. SES only partially explains family structure disparities in children's well-being. Conclusions: All non-married couple family structures are associated with some adverse outcomes among children, but the degree of disadvantage varies across family structures. Efforts to understand and improve child well-being might be most effective if they recognize the increasing diversity in children's living arrangements. [ABSTRACT FROM AUTHOR]

Background: In conflict and disaster settings, medical personnel are exposed to psychological stressors that threaten their wellbeing and increase their risk of developing burnout, depression, anxiety, and PTSD. As lay medics frequently function as the primary health providers in these situations, their mental health is crucial to the delivery of services to afflicted populations. This study examines a population of community health workers in Karen State, eastern Myanmar to explore the manifestations of health providers' psychological distress in a low-resource conflict environment. Methods: Mental health screening surveys were administered to 74 medics, incorporating the 12-item general health questionnaire (GHQ-12) and the posttraumatic checklist for civilians (PCL-C). Semi-structured qualitative interviews were conducted with 30 medics to investigate local idioms of distress, sources of distress, and the support and management of medics' stressors. Results: The GHQ-12 mean was 10.7 (SD 5.0, range 0-23) and PCL-C mean was 36.2 (SD 9.7, range 17-69). There was fair internal consistency for the GHQ-12 and PCL-C (Cronbach's alpha coeffecients 0.74 and 0.80, respectively) and significant correlation between the two scales (Pearson's R-correlation 0.47, P<0.001). Qualitative results revealed abundant evidence of stressors, including perceived inadequacy of skills, transportation barriers, lack of medical resources, isolation from family communities, threats of military violence including landmine injury, and early life trauma resulting from conflict and displacement. Medics also discussed mechanisms to manage stressors, including peer support, group-based and individual forms of coping. Conclusions: The results suggest significant sources and manifestations of mental distress among this under-studied population. The discrepancy between qualitative evidence of abundant stressors and the comparatively low symptom scores may suggest marked mental resilience among subjects. The observed symptom score means in contrast with the qualitative evidence of abundant stressors may suggest the development of marked mental resilience among subjects. Alternatively, the discrepancy may reflect the inadequacy of standard screening tools not validated for this population and potential cultural inappropriateness of established diagnostic frameworks. The importance of peer-group support as a protective factor suggests that interventions might best serve healthworkers in conflict areas by emphasizing community- and team-based strategies. [ABSTRACT FROM AUTHOR]

Linked administrative databases offer a powerful resource for studying important public health issues. Methods developed and implemented in several jurisdictions across the globe have achieved high-quality linkages for conducting health and social research without compromising confidentiality. Key data available for linkage include health services utilization, population registries, place of residence, family ties, educational outcomes, and use of social services. Linking events for large populations of individuals across disparate sources and over time permits a range of research possibilities, including the capacity to study low-prevalence exposure-disease associations, multiple outcome domains within the same cohort of individuals, service utilization and chronic disease patterns, and life course and transgenerational transmission of health. Limited information on variables such as individual-level socioeconomic status (SES) and social supports is outweighed by strengths that include comprehensive follow-up, continuous data collection, objective measures, and relatively low expense. Ever advancing methodologies and data holdings guarantee that research using linked administrative databases will make increasingly important contributions to public health research. [ABSTRACT FROM AUTHOR]

Linked administrative databases offer a powerful resource for studying important public health issues. Methods developed and implemented in several jurisdictions across the globe have achieved high-quality linkages for conducting health and social research without compromising confidentiality. Key data available for linkage include health services utilization, population registries, place of residence, family ties, educational outcomes, and use of social services. Linking events for large populations of individuals across disparate sources and over time permits a range of research possibilities, including the capacity to study low-prevalence exposure-disease associations, multiple outcome domains within the same cohort of individuals, service utilization and chronic disease patterns, and life course and transgenerational transmission of health. Limited information on variables such as individual-level socioeconomic status (SES) and social supports is outweighed by strengths that include comprehensive follow-up, continuous data collection, objective measures, and relatively low expense. Ever advancing methodologies and data holdings guarantee that research using linked administrative databases will make increasingly important contributions to public health research. [ABSTRACT FROM AUTHOR]

Background: Socioeconomically disadvantaged children have poorer physical and mental health and lower social and school/academic functioning compared to children with higher socioeconomic status (SES). These associations are not static but may vary by choice of SES indicator and child race/ethnicity. However, little is known about these associations in middle-childhood, a distinct and critical developmental period. We explore these associations in a small exploratory study designed to examine associations between SES and child developmental outcomes in middle childhood. Materials and Methods: We recruited 60 families with a child between 8–12 years of age from the San Francisco Bay area September 2005–June 2006. The MacArthur Health and Behavior Questionnaire was used to assess health and adaptive functioning across four developmental domains: physical health, mental health, social functioning, and school/academic functioning. We examined a range of SES measures including continuous and categorical assessments of poverty, income, wealth, maternal and overall family educational attainment, subjective social status, and cumulative social risk. A series of multivariate ordinary least squares regressions was performed on the total sample and within race-specific groups. Results: Although the long-recognized, graded relations among SES and outcomes were present, associations employing categorical representations of SES were far more pervasive; and stronger in magnitude. Wealth and highest degree earned in the family showed the strongest associations across virtually all health/functioning domains. Health and functioning was more strongly associated with educational attainment among Whites and financial resources among Blacks. Among Whites more wealth was associated with worse outcomes. Conclusions: Further research is needed to confirm the study findings. However, this study raises important questions about the measurement of SES for studying disparities in child health and developmental outcomes. This initial research suggests that improvements in health and functioning in middle childhood may require more significant status transitions; more targeted social interventions to address racial/ethnic disparities in child health and developmental outcomes; and a need to intervene on adversities facing affluent youth, a potentially hidden yet vulnerable group in middle childhood. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the usefulness of the Pediatric Symptom Checklist (PSC) in identifying behavioral problems in low-income, Mexican American children. Design: A cross-sectional study design was used to examine the PSC as a screening test, with the Child Behavior Checklist (CBCL) as the criterion standard. Setting: The study was conducted at a health center in a diverse low-income community. Patients: Eligible patients were children and adolescents, 4 to 16 years of age, who were seen for nonemergent, well-child care. Of 253 eligible children during a 9-month study period, 210 agreed to participate in the study. There was a 100% completion rate of the questionnaires. The average age of the children was 7.5 years, and 45% were female. Ninety-five percent of patients were of Hispanic descent (Mexican American); 86% of families spoke only Spanish. Socioeconomic status was low (more than three fourths of families earned <$20 000 annually). Results: The CBCL Total scale determined that 27 (13%) of the children had clinical levels of behavioral problems. With a cutoff score of 24, the PSC screened 2 (1%) of the 210 children as positive for behavioral problems. Using the CBCL as the criterion standard, the PSC sensitivity was 7.4%, and the specificity was 100%. Receiver operator characteristic analysis determined that a PSC cutoff score of 12 most correctly classified children with and without behavioral problems (sensitivity, 0.74; specificity, 0.94). Conclusions: When using the PSC, a new cutoff score of 12 for clinical significance should be considered if screening low-income, Mexican American children for behavioral problems. Additional study is indicated to determine the causes of the PSC's apparently lower sensitivity in Mexican American populations. [ABSTRACT FROM AUTHOR]