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Purpose: Less than 50% of people with HIV (PWH) in the United States are retained in care, a key step along the HIV care continuum. We examined the impact of geographic access to care on retention in care for urban and rural PWH., Methods: We used Medicaid claims and clinician data (Medicaid Analytic eXtract and MAX Provider Characteristics, 2009-2012) for 13 Southern states plus the District of Columbia. We calculated drive time from the enrollees' ZIP Code Tabulation Area to their usual source of care. We used generalized estimating equations to examine the association between drive time to care >30 min (versus ≤30 min) and retention in care, overall and stratified by rurality. In sensitivity analysis, we examined the definition of retention in care, states included in the analysis, and enrollee- and care-related characteristics., Findings: The sample included 49,596 PWH. Overall, the association between drive time >30 min and retention was significant, but small (adjusted odds ratio [aOR] 1.01, 95% confidence interval [CI] 1.00, 1.01) and was not significant in urban areas; however, the significance and direction of the association differed in sensitivity analysis. In rural areas, driving >30 min to care was associated with 7% higher odds of retention in care (aOR 1.07, 95% CI 1.05, 1.08) and this association remained significant and positive in nearly all sensitivity analyses., Conclusions: For PWH in rural areas, greater drive time is consistently associated with greater retention in care. Disentangling the mechanisms of this relationship is a future research priority., (© 2024 The Author(s). The Journal of Rural Health published by Wiley Periodicals LLC on behalf of National Rural Health Association.)

Objectives: To determine whether the 2014 Medicaid expansions facilitated by the Affordable Care Act affected overall and early-stage cancer diagnosis for nonelderly adults., Methods: We used Surveillance, Epidemiology, and End Results Cancer Registry data from 2010 through 2014 to estimate a difference-in-differences model of cancer diagnosis rates, both overall and by stage, comparing changes in county-level diagnosis rates in US states that expanded Medicaid in 2014 with those that did not expand Medicaid., Results: Among the 611 counties in this study, Medicaid expansion was associated with an increase in overall cancer diagnoses of 13.8 per 100 000 population (95% confidence interval [CI] = 0.7, 26.9), or 3.4%. Medicaid expansion was also associated with an increase in early-stage diagnoses of 15.4 per 100 000 population (95% CI = 5.4, 25.3), or 6.4%. There was no detectable impact on late-stage diagnoses., Conclusions: In their first year, the 2014 Medicaid expansions were associated with an increase in cancer diagnosis, particularly at the early stage, in the working-age population. Public Health Implications. Expanding public health insurance may be an avenue for improving cancer detection, which is associated with improved patient outcomes, including reduced mortality.

Objectives: Reliable measures of emergency department (ED) use are important for studying ED utilization and access to care. We assessed the association of emergent classification of an ED visit based on the New York University ED Algorithm (EDA) with hospital mortality and hospital admission., Study Design: Using diagnosis codes, we applied the EDA to classify ED visits into emergent, intermediate, and nonemergent categories and studied associations of emergent status with hospital mortality and hospital admissions., Methods: We used a nationally representative sample of patients with visits to hospital-based EDs from repeated cross sections of the National Hospital Ambulatory Medical Care Survey from 2006 to 2009. We performed survey-weighted logistic regression analyses, adjusting for year and patient demographic and socioeconomic characteristics, to estimate the association of emergent ED visits with the probability of hospital mortality or hospital admission., Results: The EDA measure of emergent visits was significantly and positively associated with mortality (odds ratio [OR]: 3.79, 95% confidence interval [CI]: 2.50-5.75) and hospital admission (OR: 5.28, 95% CI, 4.93-5.66)., Conclusions: This analysis assessed the NYU algorithm in measuring emergent and nonemergent ED use in the general population. Emergent classification based on the algorithm was strongly and significantly positively associated with hospitalization and death in a nationally representative population. The algorithm can be useful in studying ED utilization and evaluating policies that aim to change it.

Domestic violence is a serious, preventable health problem affecting more than thirty million Americans annually, yet little is known about federally funded service provision. We used the National Census of Domestic Violence Services, an innovative victim-safety focused survey, to count services provided by more than 2,000 programs. During the twenty-four-hour survey period, 48,350 people used these services. The results show substantial unmet demand for services (10 percent of requests) because of resource constraints, particularly in rural, economically disadvantaged, and minority communities. Greater funding of domestic violence programs, particularly housing support, is likely to be a cost-effective public health investment.