GLP-1 Medication Use for Type 2 Diabetes Has Soared.

This JAMA Data Brief discusses new data from the Medical Expenditure Panel Survey, or MEPS, Household Component, a household survey sponsored by the Agency for Healthcare Research and Quality.

High Job Flexibility And Paid Sick Leave Increase Health Care Access And Use Among US Workers.

Job flexibility is an important yet underresearched aspect of work that has implications for health care access and use. This study explored the impact of job flexibility, including both its informal aspects and access to paid sick leave, on health care access and use. We analyzed data from a nationally representative sample of US workers responding to the Medical Expenditure Panel Survey-Household Component during 2017-19, combined with occupational data from the Occupational Information Network database, version 25.0. Results showed that a one-unit increase in job flexibility was associated with a 2.15-percentage-point increase in the likelihood of having an office-based health care visit in the past year and a 2.42-percentage-point increase in the likelihood of having a usual source of care. Access to paid sick leave was associated with a 3.83-percentage-point increase in the likelihood of having an office-based health care visit. Black and Hispanic workers, as well as workers with low-wage jobs, had less job flexibility and less access to paid sick leave. Reforms that increase job flexibility and efforts by health care providers to better accommodate people with inflexible jobs could improve access, utilization, and equity.

New evidence on geographic disparities in United States hospital capacity.

OBJECTIVE: To characterize the quantity and quality of hospital capacity across the United States. DATA SOURCES: We combine a 2017 near-census of US hospital inpatient discharges from the Healthcare Cost and Utilization Project (HCUP) with American Hospital Association Survey, Hospital Compare, and American Community Survey data. STUDY DESIGN: This study produces local hospital capacity quantity and care quality measures by allocating capacity to zip codes using market shares and population totals. Disparities in these measures are examined by race and ethnicity, income, age, and urbanicity. DATA COLLECTION/EXTRACTION METHODS: All data are derived from pre-existing sources. All hospitals and zip codes in states, including the District of Columbia, contributing complete data to HCUP in 2017 are included. PRINCIPAL FINDINGS: Non-Hispanic Black individuals living in zip codes supplied, on average, 0.11 more beds per 1000 population (SE = 0.01) than places where non-Hispanic White individuals live. However, the hospitals supplying this capacity have 0.36 fewer staff per bed (SE = 0.03) and perform worse on many care quality measures. Zip codes in the most urban parts of America have the least hospital capacity (2.11 beds per 1000 persons; SEM = 0.01) from across the rural-urban continuum. While more rural areas have markedly higher capacity levels, urban areas have advantages in staff and capital per bed. We do not find systematic differences in care quality between rural and urban areas. CONCLUSIONS: This study highlights the importance of lower hospital care quality and resource intensity in driving racial and ethnic, as well as income, disparities in hospital care-related outcomes. This study also contributes an alternative approach for measuring local hospital capacity that accounts for cross-hospital service area flows. Adjusting for these flows is necessary to avoid underestimating the supply of capacity in rural areas and overestimating it in places where non-Hispanic Black individuals tend to live.