Socioeconomic gradients in early childhood health: evidence from Bangladesh and Nepal.

BACKGROUND: A large literature has developed researching the origins of socioeconomic gradients in child health in developed countries. Particularly, this research examines the age at which these gradient effects emerge and how they change across different stages of childhood. However, similar research on developing countries is limited. METHODS: This paper examines the socioeconomic gradients in early childhood health in two developing countries, Bangladesh and Nepal using the 2011 Demographic and Health Surveys. The paper separately studies two measures of household socioeconomic status: household wealth and maternal educational attainment. Two anthropometric measures of early childhood health, height-for-age and weight-for-age Z scores for 0-59 months of children, are used for our empirical exercise. The paper uses both non-parametric and multivariate ordinary least squares approaches to examine at what age socioeconomic disparities in health emerge, and investigates if these disparities increase with age in early childhood. RESULTS: The paper provides significant evidence of age-specific socioeconomic gradients in early childhood health in both countries. Health disparities in household wealth exist in both countries. This disparity emerges in the first 11 months of life, and is particularly severe for children from the poorest quintile. On the other hand, while the emergence of maternal education gradients during the first 11 months is sensitive to the choice of childhood health measure, the study finds the children of mothers with higher education to enjoy significantly higher health outcomes in comparison to those with lower education. However, controlling for father's education weakens the effects of maternal education on child health in both countries. Further, the paper does not find statistically significant evidence where socioeconomic gradients in health increase with age in early childhood. CONCLUSIONS: Our study concludes that socioeconomic disparities in health outcomes exist even in very early childhood in Bangladesh and Nepal. This has important implications for targeted policy interventions in the form of food security and nutrition supplement programs, free provision of health care, and maternal education in both countries.

The Pre-Registry Commercial Driver Medical Examination: Screening Sensitivity and Certification Lengths for Two Safety-Related Medical Conditions.

OBJECTIVE: Use independent diagnostic data to analyze the screening effectiveness of the pre-Registry commercial driver medical examination (CDME) for obstructive sleep apnea (OSA), and its sensitivity for hypertension; analyze certification lengths where relevant. METHODS: CDME screening results for 1668 drivers were compared to polysomnogram diagnostic test results, and CDME screening results were evaluated for 1155 drivers with at least one insurance claim with a hypertension diagnostic code. Any CDME documentation of the medical condition was considered as detection by screening. RESULTS: CDME sensitivity was 20.7% for moderate OSA (AHI ≥ 15). While sensitivity was 77.5% for hypertension, 93.3% of drivers with Stage 3 hypertension were certified, contrary to Federal Motor Carrier Safety Administration standards. CONCLUSIONS: The pre-Registry CDME was ineffective in screening commercial drivers for OSA. Screening was better for hypertension; incorrect certifications were given to many hypertensive drivers.

Employer-mandated obstructive sleep apnea treatment and healthcare cost savings among truckers.

OBJECTIVE: To evaluate the effect of an employer-mandated obstructive sleep apnea (OSA) diagnosis and treatment program on non-OSA-program trucker medical insurance claim costs. METHODS: Retrospective cohort analysis; cohorts constructed by matching (randomly, with replacement) Screen-positive Controls (drivers with insurance screened as likely to have OSA, but not yet diagnosed) with Diagnosed drivers (n = 1,516; cases = 1,224, OSA Negatives = 292), on two factors affecting exposure to medical claims: experience level at hire and weeks of job tenure at the Diagnosed driver's polysomnogram (PSG) date (the "matching date"). All cases received auto-adjusting positive airway pressure (APAP) treatment and were grouped by objective treatment adherence data: any "Positive Adherence" (n = 932) versus "No Adherence" (n = 292). Bootstrap resampling produced a difference-in-differences estimate of aggregate non-OSA-program medical insurance claim cost savings for 100 Diagnosed drivers as compared to 100 Screen-positive Controls before and after the PSG/matching date, over an 18-month period. A two-part multivariate statistical model was used to set exposures and demographics/anthropometrics equal across sub-groups, and to generate a difference-in-differences comparison across periods that identified the effect of OSA treatment on per-member per-month (PMPM) costs of an individual driver, separately from cost differences associated with adherence choice. RESULTS: Eighteen-month non-OSA-program medical claim costs savings from diagnosing (and treating as required) 100 Screen-positive Controls: $153,042 (95% CI: -$5,352, $330,525). Model-estimated effect of treatment on those adhering to APAP: -$441 PMPM (95% CI: -$861, -$21). CONCLUSIONS: Results suggest a carrier-based mandatory OSA program generates substantial savings in non-OSA-program medical insurance claim costs.

Childhood Immunization and Access to Health Care: Evidence From Nepal.

This article examines the effect of access to health care center, in terms of travel time, on childhood immunization in Nepal using the 2004 and 2011 waves of the Nepal Living Standards Measurement Surveys. We employ probit and instrumental variable probit estimation methods to estimate the causal effect of travel time on the probability of immunization. Results indicate that travel time to the nearest health center displays a significant negative association with the probability of immunization (coefficient = -0.015,P< .05). Furthermore, the effect of travel time tends to be stronger in rural and distant areas of Nepal's mountain and hill regions. The results suggest that policy interventions should increase the number of mobile clinics in rural villages and provide conditional cash transfer to incentivize immunization coverage at the household level. In addition, household income, parental education, ethnicity, and household location emerge as important determinants of immunization in Nepal.