ABSTRACT
Per capita geographic distribution of adult critical care beds can be utilized for healthcare resources assessments. OBJECTIVES: Describe the per capita distribution of staffed adult critical care beds across the United States. DESIGN SETTING AND PARTICIPANTS: Cross-sectional epidemiologic assessment of November 2021 hospital data from the Department of Health and Human Services' Protect Public Data Hub. MAIN OUTCOMES AND MEASURES: Staffed adult critical care beds per adult population. RESULTS: The percent of hospitals reporting was high and varied by state/territory (median, 98.6% of states' hospitals reporting; interquartile range [IQR], 97.8-100%). There was a total of 4,846 adult hospitals accounting for 79,876 adult critical care beds in the United States and its territories. Crudely aggregated at the national-level, this calculated to 0.31 adult critical care beds per 1,000 adults. The median crude per capita density of adult critical care beds per 1,000 adults across U.S. counties was 0.00 per 1,000 adults (county, IQR 0.00-0.25; range, 0.00-8.65). Spatially smoothed county-level estimates were obtained using Empirical Bayes and Spatial Empirical Bayes approaches, resulting in an estimated 0.18 adult critical care beds per 1,000 adults (range from both methodological estimates, 0.00-8.20). When compared to counties in the lower quartile of adult critical care bed density, counties in the upper quartile had higher average adult population counts (mean 159,000 vs 32,000 adults per county) and a choropleth map demonstrated high densities of beds in urban centers with low density across rural areas. CONCLUSIONS AND RELEVANCE: Among U.S. counties, the density of critical care beds per capita was not uniformly distributed, with high densities concentrated in highly populated urban centers and relative scarcity in rural areas. As it is unknown what defines deficiency and surplus in terms of outcomes and costs, this descriptive report serves as an additional methodological benchmark for hypothesis-driven research in this area.
ABSTRACT
INTRODUCTION: With limited resources, attaining maximal average health service coverage can be at odds with maximising equity which attempts to promote greater reach among underserved populations. In this study, we examined the trade-offs in immunisation coverage levels and equity for children under 5 years of age in Pakistan across various subpopulations who can be targeted with different combinations of immunisation service modalities. METHODS: We conducted a detailed costing exercise across 16 geographically and demographically diverse districts in Pakistan. These data were the basis for (a) technical efficiency benchmarking via Data Envelopment Analysis to identify potential efficiency gains by location, delivery model and cost ingredient; (b) allocative efficiency optimisation modelling to understand how resource allocations could be optimised and to devise recommended budget allocations and operational metrics. Finally, the hypothetical overall efficiency gains attainable were estimated if available resources were allocated with the optimal emphases, and if service delivery models operated at productivity levels at the benchmarked frontier of efficiency. RESULTS: Benchmarking suggests that ~44% of delivery models are running efficiently and 37% are highly inefficient. While coverage and equity are usually at odds, surprisingly, the optimisation modelling revealed that substantial improvements in equity between subpopulations does not necessarily cost very much in overall immunisation coverage: theoretically, equity can be achieved while still attaining close to maximal immunisation coverage. Overall, analyses suggest greater emphases should be placed on outreach delivery models which particularly target rural areas and slum populations. CONCLUSION: The unit cost differentials within districts are not sufficiently large for there to be a large reduction in potential Fully Immunised Children coverage if one focuses on maximising equity. However, reallocations of programme budgets can have a significant impact on equity outcomes, particularly at current low spending amounts. Therefore, it is recommended to address equity as the key objective in national immunisation programming.
Subject(s)
Immunization , Vaccination Coverage , Child , Child, Preschool , Costs and Cost Analysis , Humans , Pakistan , VaccinationABSTRACT
PURPOSE: Research examining the association between crime and health outcomes has been hampered by a lack of reliable small-area (e.g., census tract or census block group) crime data. Our objective is to assess the accuracy of synthetically estimated crime indices for use in health research by using preterm birth as a case study. METHODS: We used violent crime data reported by 47 law enforcement agencies in 15 counties in Atlanta, Georgia and compared them with commercially estimated crime rates from the same year to assess (1) how two measures of crime were correlated and (2) if the associations between violent crime rate indices and preterm birth (PTB) varied as a function of the source of crime index. To assess the association between violent crime and PTB, we used multilevel logistic regression and controlled for potential individual- and neighborhood-level confounders. RESULTS: Violent crime, both estimated and observed, was positively correlated with poverty, neighborhood proportion Black, and neighborhood deprivation index; however, the association was stronger using estimated rates as compared with observed crime rates. The association between living in a high violent crime neighborhood and PTB was only consistent for white women across the two crime indices after covariate adjustment. For Black women, the association between living in a high violent crime neighborhood and PTB is systematically underestimated across all models when the estimated crime rate is used. CONCLUSIONS: There is evidence that model-estimated crime rates are not reliable proxies for crime in an urban area even when appropriate confounders are adjusted for.
