Community- versus individual-level indicators to identify pediatric health care need

A Service Coverage Analysis of Primary Congenital Glaucoma Care Across the United States

PURPOSE

To assess the number of infants at risk of delayed primary congenital glaucoma (PCG) evaluation due to long travel times to specialists.

DESIGN

Cross-sectional geospatial service coverage analysis.

METHODS

All American Glaucoma Society (AGS) and American Association for Pediatric Ophthalmology and Strabismus (AAPOS) provider locations were geocoded using each organization's member directory. Sixty-minute drive time regions to providers were generated using ArcGIS Pro (Esri). The geographic intersection of AGS and AAPOS service areas was computed because patients typically require visits to both types of specialists. American Community Survey data were then overlaid to estimate the number of infants within and beyond the AGS/AAPOS service areas.

RESULTS

One thousand twenty-nine AGS and 1,040 AAPOS provider locations were geocoded. The analysis yielded 944,047 infants age 0-1 year (23.6%) who live beyond the AGS/AAPOS service areas. Therefore, approximately 14-94 new PCG cases/year may be at risk of delayed diagnosis as a result of living in a potential service desert. Compared with children living within the AGS/AAPOS service areas, children aged <6 years in these potential service deserts were more likely to live in households earning below the US federal poverty level, lack health insurance, and live in a single-parent home. These communities are disproportionately likely to experience other rural health disparities and are more prevalent across the Great Plains.

CONCLUSION

Service coverage analysis is a useful tool for identifying underserved regions for PCG referrals and evaluation. These data may assist in targeting screening programs in low access areas for pediatric glaucoma care.

Geographic Variance in Maryland's Potentially Preventable Emergency Visits: Comparison of Explanatory Models

The use of emergency departments (EDs) for potentially preventable visits is costly and inefficient. In Maryland, about 20%-30% of such visits are ambulatory care sensitive and thus potentially preventable. The uninsured are often perceived to account for a disproportionate share of such visits. This analysis aimed to (a) compare and explain the geographic variance in Maryland's potentially preventable ED visit (PPV) rates for the total and uninsured populations and (b) test the predictive value of regression models developed. Geographic hot spots of increased PPV rates were highly correlated for uninsured and total populations, but uninsured rates were more clustered in urban areas. Poisson and geographically weighted regression (GWR) models best fit the data and predicted 40%-52% and 46% of the variance in 2009 total and uninsured rates, respectively. Significant predictors of increased PPV rates were social determinants of health: lower per capita income and education levels, and higher percentage of female-headed households.

Community socioeconomic disadvantage and the survival of infants with congenital heart defects

OBJECTIVES

We examined the association between survival of infants with severe congenital heart defects (CHDs) and community-level indicators of socioeconomic status.

METHODS

We identified infants born to residents of Arizona, New Jersey, New York, and Texas between 1999 and 2007 with selected CHDs from 4 population-based, statewide birth defect surveillance programs. We linked data to the 2000 US Census to obtain 11 census tract-level socioeconomic indicators. We estimated survival probabilities and hazard ratios adjusted for individual characteristics.

RESULTS

We observed differences in infant survival for 8 community socioeconomic indicators (P < .05). The greatest mortality risk was associated with residing in communities in the most disadvantaged deciles for poverty (adjusted hazard ratio [AHR] = 1.49; 95% confidence interval [CI]  = 1.11, 1.99), education (AHR = 1.51; 95% CI = 1.16, 1.96), and operator or laborer occupations (AHR = 1.54; 95% CI = 1.16, 1.96). Survival decreased with increasing numbers of indicators that were in the most disadvantaged decile. Community-level mortality risk persisted when we adjusted for individual-level characteristics.

CONCLUSIONS

The increased mortality risk among infants with CHDs living in socioeconomically deprived communities might indicate barriers to quality and timely care at which public health interventions might be targeted.

The pediatrician's role in family support and family support programs

Children's social, emotional, and physical health; their developmental trajectory; and the neurocircuits that are being created and reinforced in their developing brains are all directly influenced by their relationships during early childhood. The stresses associated with contemporary American life can challenge families' abilities to promote successful developmental outcomes and emotional health for their children. Pediatricians are positioned to serve as partners with families and other community providers in supporting the well-being of children and their families. The structure and support of families involve forces that are often outside the agenda of the usual pediatric health supervision visits. Pediatricians must ensure that their medical home efforts promote a holistically healthy family environment for all children. This statement recommends opportunities for pediatricians to develop their expertise in assessing the strengths and stresses in families, in counseling families about strategies and resources, and in collaborating with others in their communities to support family relationships.