The Distribution of Additional Residency Slots to Rural and Underserved Areas.

This study analyzes data from the Centers for Medicare & Medicaid Services to identify whether new residency training slots went to rural and underserved areas with the greatest need.

Rural Medicare beneficiaries are increasingly likely to be admitted to urban hospitals.

OBJECTIVE: To determine whether rural Medicare FFS beneficiaries are more likely to be admitted to an urban hospital in 2018 than in 2010. DATA SOURCES: We combined data from the 2010 to 2018 Hospital Service Area File (HSAF) and the 2010-2017 American Hospital Association (AHA) survey. STUDY DESIGN: We conducted a fixed-effects negative-binomial regression to determine whether urban hospital admissions from rural ZIP codes were increasing over time. We also conducted an exploratory geographically weighted regression. DATA COLLECTION: We transformed the HSAF data into a ZIP code-level file with all rural ZIP codes. We defined rural as having a Rural-Urban Commuting Area (RUCA) code ≥4. A hospital's system affiliation status was incorporated from the AHA survey. PRINCIPAL FINDINGS: Controlling for distance to the nearest hospitals, an increase of 1 year was associated with a 2.0% increase (p < 0.001) in the number of admissions to urban hospitals from each rural ZIP code. New system affiliation of the nearest rural hospital was associated with an increase of 1.7% (p < 0.001). CONCLUSIONS: Even when controlling for distance to the nearest rural hospital (which reflects hospital closures), rural patients were increasingly likely to be admitted to an urban hospital.

The effect of rural hospital closures on emergency medical service response and transport times.

OBJECTIVE: To examine the effect of rural hospital closures on EMS response time (minutes between dispatch notifying unit and arriving at scene); transport time (minutes between unit leaving the scene and arriving at destination); and total activation time (minutes between 9-1-1 call to responding unit returning to service), as longer EMS times are associated with worse patient outcomes. DATA SOURCES/STUDY SETTING: We use secondary data from the National EMS Information System, Area Health Resource, and Center for Medicare & Medicaid Provider of Service files (2010-2016). STUDY DESIGN: We examined the effects of rural hospital closures on EMS transport times for emergent 9-1-1 calls in rural areas using a pre-post, retrospective cohort study with the matched comparison group using difference-in-difference and quantile regression models. PRINCIPAL FINDINGS: Closures increased mean EMS transport times by 2.6 minutes (P = .09) and total activation time by 7.2 minutes (P = .02), but had no effect on mean response times. We also found closures had heterogeneous effects across the distribution of EMS times, with shorter response times, longer transport times, and median total activation times experiencing larger effects. CONCLUSIONS: Rural hospital closures increased mean transport and total activation times with varying effects across the distribution of EMS response, transport, and total times. These findings illuminate potential barriers to accessing timely emergency services due to closures.

Primary Care Nurse Practitioner Wage Differences by Employment Setting.

BACKGROUND: Previous studies reported that primary care nurse practitioners working in primary care settings may earn less than those working in specialty care settings. However, few studies have examined why such wage difference exists. PURPOSE: This study used human capital theory to determine the degree to which the wage differences between dingsPCNPs working in primary care versus specialty care settings is driven by the differences in PCNPs' characteristics. Feasible generalized least squares regression was used to examine the wage differences for PCNPs working in primary care and specialty care settings. METHODS: A cross-sectional, secondary data analysis was conducted using the restricted file of 2012 National Sample Survey of Nurse Practitioners. FINDINGS: Oaxaca-Blinder decomposition technique was used to explore the factors contributing to wage differences.The results suggested that hourly wages of PCNPs working in primary care settings were, on average, 7.1% lower than PCNPs working in specialty care settings, holding PCNPs' socio-demographic, human capital, and employment characteristics constant. Approximately 4% of this wage difference was explained by PCNPs' characteristics; but 96% of these differences were due to unexplained factors. DISCUSSION: A large, unexplained wage difference exists between PCNPs working in primary care and specialty care settings.

Designating places and populations as medically underserved: a proposal for a new approach.

This article describes the development of a theory-based, data-driven replacement for the Health Professional Shortage Area (HPSA) and Medically Underserved Area (MUA) designation systems. Data describing utilization of primary medical care and the distribution of practitioners were used to develop estimates of the effects of demographic and community characteristics on use of primary medical care. A scoring system was developed that estimates each community's effective access to primary care. This approach was reviewed and contributed to by stakeholder groups. The proposed formula would designate over 90% of current geographic and low-income population HPSA designations. The scalability of the method allows for adjustment for local variations in need and was considered acceptable by stakeholder groups. A data-driven, theory-based metric to calculate relative need for geographic areas and geographically-bounded special populations can be developed and used. Its use, however, requires careful explanation to and support from affected groups.