Black Representation in the Primary Care Physician Workforce and Its Association With Population Life Expectancy and Mortality Rates in the US.

Importance: Studies have suggested that greater primary care physician (PCP) availability is associated with better population health and that a diverse health workforce can improve care experience measures. However, it is unclear whether greater Black representation within the PCP workforce is associated with improved health outcomes among Black individuals. Objective: To assess county-level Black PCP workforce representation and its association with mortality-related outcomes in the US. Design, Setting, and Participants: This cohort study evaluated the association of Black PCP workforce representation with survival outcomes at 3 time points (from January 1 to December 31 each in 2009, 2014, and 2019) for US counties. County-level representation was defined as the ratio of the proportion of PCPs who identifed as Black divided by the proportion of the population who identified as Black. Analyses focused on between- and within-county influences of Black PCP representation and treated Black PCP representation as a time-varying covariate. Analysis of between-county influences examined whether, on average, counties with increased Black representation exhibited improved survival outcomes. Analysis of within-county influences assessed whether counties with higher-than-usual Black PCP representation exhibited enhanced survival outcomes during a given year of heightened workforce diversity. Data analyses were performed on June 23, 2022. Main Outcomes and Measures: Using mixed-effects growth models, the impact of Black PCP representation on life expectancy and all-cause mortality for Black individuals and on mortality rate disparities between Black and White individuals was assessed. Results: A combined sample of 1618 US counties was identified based on whether at least 1 Black PCP operated within a county during 1 or more time points (2009, 2014, and 2019). Black PCPs operated in 1198 counties in 2009, 1260 counties in 2014, and 1308 counties in 2019-less than half of all 3142 Census-defined US counties as of 2014. Between-county influence results indicated that greater Black workforce representation was associated with higher life expectancy and was inversely associated with all-cause Black mortality and mortality rate disparities between Black and White individuals. In adjusted mixed-effects growth models, a 10% increase in Black PCP representation was associated with a higher life expectancy of 30.61 days (95% CI, 19.13-42.44 days). Conclusions and Relevance: The findings of this cohort study suggest that greater Black PCP workforce representation is associated with better population health measures for Black individuals, although there was a dearth of US counties with at least 1 Black PCP during each study time point. Investments to build a more representative PCP workforce nationally may be important for improving population health.

Rural-Urban Differences in the Utilization of Hospital-Based Care for Women of Reproductive Age.

Background: To investigate rural-urban differences in hospital-based care utilization among women of reproductive age (18-44 years). Methods: Rural-urban differences were estimated for hospital outpatient visits, emergency department (ED) visits, hospitalizations, and associated expenditures both overall and by insurance status, by analyzing a nationally representative sample of women of reproductive age from the Medical Expenditure Panel Survey (2006-2015). Results: The study sample consisted of 48,114 women of reproductive age. Unadjusted results showed that rural women reported higher likelihood of hospital outpatient visits (rural vs. urban: 17.10% vs. 13.34%) although, among those using such care, fewer average visits (rural vs. urban: 2.00 vs. 2.56 visits). Rural women reported higher likelihood of ED visits (rural vs. urban: 18.13% vs. 15.11%) and more hospital stays (rural vs. urban: 0.13 vs. 0.11 stays). Adjusted results showed rural women had higher likelihood of outpatient care use (+2.5 percentage points; 95% confidence interval [CI] = 0.002-0.049) but fewer visits (-0.314 visits, 95% CI = -0.566 to -0.062). For the privately insured, rural women had greater likelihood of outpatient care (+3.1 percentage points, 95% CI = 0.001-0.060) and fewer ED visits (-0.031 visits, 95% CI = -0.061 to -0.003); for the publicly insured, rural women had more hospital stays (+0.045 stays, 95% CI = 0.009-0.083); for the uninsured, rural women had fewer outpatient visits among those using such care (-1.118 visits, 95% CI = -1.865 to -0.372) and shorter hospital stays overall (-0.093 nights, 95% CI = -0.181 to -0.005). Rural-urban expenditure differences were not significant between any insurance grouping. Conclusions: Rural-urban differences in hospital-based care utilization were observed, although somewhat heterogeneous by insurance status. Strengthening outpatient and preventive service access, particularly for publicly insured and uninsured rural women of reproductive age, is important for shifting care to lower cost settings and improving population health.

Determinants of rural-urban differences in health care provider visits among women of reproductive age in the United States.

BACKGROUND: Rural health disparities and access gaps may contribute to higher maternal and infant morbidity and mortality. Understanding and addressing access barriers for specialty women's health services is important in mitigating risks for adverse childbirth events. The objective of this study was to investigate rural-urban differences in health care access for women of reproductive age by examining differences in past-year provider visit rates by provider type, and quantifying the contributing factors to these findings. METHODS AND FINDINGS: Using a nationally-representative sample of reproductive age women (n = 37,026) from the Medical Expenditure Panel Survey (2010-2015) linked to the Area Health Resource File, rural-urban differences in past-year office visit rates with health care providers were examined. Blinder-Oaxaca decomposition analysis quantified the portion of disparities explained by individual- and county-level sociodemographic and provider supply characteristics. Overall, there were no rural-urban differences in past-year visits with women's health providers collectively (65.0% vs 62.4%), however differences were observed by provider type. Rural women had lower past-year obstetrician-gynecologist (OB-GYN) visit rates than urban women (23.3% vs. 26.6%), and higher visit rates with family medicine physicians (24.3% vs. 20.9%) and nurse practitioners/physician assistants (NPs/PAs) (24.6% vs. 16.1%). Lower OB-GYN availability in rural versus urban counties (6.1 vs. 13.7 providers/100,000 population) explained most of the rural disadvantage in OB-GYN visit rates (83.8%), and much of the higher family physician (80.9%) and NP/PA (50.1%) visit rates. Other individual- and county-level characteristics had smaller effects on rural-urban differences. CONCLUSION: Although there were no overall rural-urban differences in past-year visit rates, the lower OB-GYN availability in rural areas appears to affect the types of health care providers seen by women. Whether rural women are receiving adequate specialized women's health care services, while seeing a different cadre of providers, warrants further investigation and has particular relevance for women experiencing high-risk pregnancies and deliveries.

Regional Variations in Maternal Mortality and Health Workforce Availability in the United States.

BACKGROUND: Skilled, high-quality health providers and birth attendants are important for reducing maternal mortality. OBJECTIVE: To assess whether U.S. regional variations in maternal mortality rates relate to health workforce availability. DESIGN: Comparison of regional variations in maternal mortality rates and women's health provider rates per population and identification of a relationship between these measures. SETTING: U.S. health system. PARTICIPANTS: Women of child-bearing age and women's health providers, as captured in federal data sources from the Centers for Disease Control and Prevention, Census Bureau, and Health Resources and Services Administration. MEASUREMENTS: Regional-to-national rate ratios for maternal mortality and women's health provider availability, calculated per population for women of reproductive age. Provider availability was examined across occupations (obstetrician-gynecologists, internal medicine physicians, family medicine physicians, certified nurse-midwives), in service-based categories (birth-attending and primary care providers), and across the entire women's health workforce (all studied occupations). RESULTS: Maternal deaths per population increased nationally from 2009 to 2017 and, in 2017, were significantly higher in the South and lower in the Northeast (P < 0.001) than nationally. The occupational composition and per-population availability patterns of the women's health workforce varied regionally in 2017. The South had the lowest availability in the nation for nearly every health occupation and category studied, and the Northeast had the highest. This exploratory analysis suggests that subnational levels of provider availability across a region may be associated with higher maternal mortality rates. LIMITATIONS: No causal relationship was established. Nationally representative maternal mortality and health workforce data sources have well-known limitations. Low numbers of observations limit statistical analyses. CONCLUSION: Regional variations in maternal mortality rates may relate to the availability of birth-attending and primary care providers. PRIMARY FUNDING SOURCE: None.

The geographic alignment of primary care Health Professional Shortage Areas with markers for social determinants of health.

BACKGROUND: The Health Resources and Services Administration (HRSA), an agency within the U.S. Department of Health and Human Services (HHS), works to ensure accessible, quality, health care for the nation's underserved populations, especially those who are medically, economically, or geographically vulnerable. HRSA-designated primary care Health Professional Shortage Areas (pcHPSAs) provide a vital measure by which to identify underserved populations and prioritize locations and populations lacking access to adequate primary and preventive health care-the foundation for advancing health equity and maintaining health and wellness for individuals and populations. However, access to care is a complex, multifactorial issue that involves more than just the number of health care providers available, and pcHPSAs alone cannot fully characterize the distribution of medically, economically, and geographically vulnerable populations. METHODS AND FINDINGS: In this county-level analysis, we used descriptive statistics and multiple correspondence analysis to assess how HRSA's pcHPSA designations align geographically with other established markers of medical, economic, and geographic vulnerability. Reflecting recognized social determinants of health (SDOH), markers included demographic characteristics, race and ethnicity, rates of low birth weight births, median household income, poverty, educational attainment, and rurality. Nationally, 96 percent of U.S. counties were either classified as whole county or partial county pcHPSAs or had one or more established markers of medical, economic, or geographic vulnerability in 2017, suggesting that at-risk populations were nearly ubiquitous throughout the nation. Primary care HPSA counties in HHS Regions 4 and 6 (largely lying within the southeastern and south central United States) had the most pervasive and complex patterns in population risk. CONCLUSION: HHS Regions displayed unique signatures with respect to SDOH markers. Descriptive and analytic findings from our work may help inform health workforce and health care planning at all levels, and, by illustrating both the complexity of and differences in county-level population characteristics in pcHPSA counties, our findings may have relevance for strengthening the delivery of primary care and addressing social determinants of health in areas beset by provider shortages.

Comprehensive Revenue and Expense Data Collection Methodology for Teaching Health Centers: A Model for Accountable Graduate Medical Education Financing.

BACKGROUND: Despite considerable federal investment, graduate medical education financing is neither transparent for estimating residency training costs nor accountable for effectively producing a physician workforce that matches the nation's health care needs. The Teaching Health Center Graduate Medical Education (THCGME) program's authorization in 2010 provided an opportunity to establish a more transparent financing mechanism. OBJECTIVE: We developed a standardized methodology for quantifying the necessary investment to train primary care physicians in high-need communities. METHODS: The THCGME Costing Instrument was designed utilizing guidance from site visits, financial documentation, and expert review. It collects educational outlays, patient service expenses and revenues from residents' ambulatory and inpatient care, and payer mix. The instrument was fielded from April to November 2015 in 43 THCGME-funded residency programs of varying specialties and organizational structures. RESULTS: Of the 43 programs, 36 programs (84%) submitted THCGME Costing Instruments. The THCGME Costing Instrument collected standardized, detailed cost data on residency labor (n = 36), administration and educational outlays (n = 33), ambulatory care visits and payer mix (n = 30), patient service expenses (n = 26), and revenues generated by residents (n = 26), in contrast to Medicare cost reports, which include only costs incurred by residency programs. CONCLUSIONS: The THCGME Costing Instrument provides a model for calculating evidence-based costs and revenues of community-based residency programs, and it enhances accountability by offering an approach that estimates residency costs and revenues in a range of settings. The instrument may have feasibility and utility for application in other residency training settings.

Defining Rurality in Medicare Administrative Data.

Rural beneficiaries make up nearly one quarter of the Medicare population, yet rural providers and patients face specific challenges with health and health care delivery that remain inadequately understood. Health disparities between rural and urban residents are widespread, barriers to health care in rural communities persist, and the rural health care workforce is limited. To better understand and track the relationship between rurality and performance under Medicare's payment programs, researchers must be able to identify rural beneficiaries, providers, and hospitals. Although numerous definitions of rurality are applied across the Medicare program, empirical research is lacking comparing the different definitions of rurality and the impact of their application to quality, outcome, or costs. Definitions that recognize rurality as a graded concept, rather than a dichotomous one, hold promise. Understanding the strengths and limitations of different approaches to identifying rurality will help researchers choose the best method for their particular purpose, and help policymakers interpret studies using these approaches.

Where do physicians train? Investigating public and private institutional pipelines.

Where a physician is educated-in a public or a private institution-affects his or her practice choices, including the likelihood of choosing a career in primary care. It is important to monitor the educational pipeline for physicians to ensure that a robust cadre of professionals is entering the health care workforce from public-sector institutions to meet the growing demand for primary care providers.

Trend analysis of medical publications about LGBT persons: 1950-2007.

Although there are currently at least 6 million lesbian, gay, bisexual, and transgender (LGBT) persons in the United States, there are no prior studies analyzing how this group is represented in the medical literature. An examination of published LGBT topics over a 57-year period was performed using OvidSP. A total of 21,728 publications was analyzed for topic using information from the title, keywords, subject headings, and abstracts. Several trends became apparent. The largest proportion of LGBT publications (31.78%) was devoted to HIV/AIDS and other sexually transmitted infections (STIs), yet there was an overall lack of emphasis on general health topics or common causes of mortality. Further analysis showed that if publications on HIV/AIDS or STIs addressed sexual orientation, they were more likely to be about LGBT persons than heterosexuals. Overall, the volume and range of medical publications on LGBT persons may not be reflective of the health care needs of this population.

The effect of patient age on perceived resuscitation outcomes by practitioners.

BACKGROUND: When health care practitioners assist patients with decisions about advance directives, the risks and benefits of resuscitation options are often discussed. Whether practitioners have accurate perceptions about in-hospital resuscitation success rates is not known, nor is the effect of patient age on these perceptions. Age on its own has not been definitively associated with decreased inpatient survival after resuscitation. The goal of this study was to compare perceived resuscitation success rates with the actual observed rates at our hospital and to assess the effect of patient age on the perceived rates. METHODS: A survey-based observational study of on-duty hospital-based faculty, internal medicine resident physicians, and critical care nurses was performed over a week-long recruitment period to estimate their perception of in-hospital resuscitation success rates for patients of different ages. The survey response rate was 100%. RESULTS: Patient survival to hospital discharge following in-hospital resuscitation during a three-year period at New Hanover Regional Medical Center was 29.22% for patients < 70 years old and 20.13% for patients > or = 70. The perceived in-hospital resuscitation success rates were 38.76% for patients < 70 and 21.24% for patients > or = 70. This corresponds to a statistically significant overestimation of resuscitation success rates for patients < 70 years old (p < 0.001), although predictions were fairly accurate for patients > or = 70. When posed with one of two clinical scenarios where the only different variable was patient age, participants were statistically more likely to predict success for the younger patient. Subgroup analysis showed general agreement in the estimates between the three major types of practitioners, and factors such as length of experience in their current position and time since their last Advanced Cardiac Life Support (ACLS) recertification course did not have a significant impact on these perceptions. CONCLUSIONS: Practitioners may overestimate resuscitation success rates in patients younger than 70. Disseminating information about ACLS success rates to clinicians, and what factors affect or do not affect these rates, seems essential.

Pelvic pain as an unusual first presentation of a demyelinating disease.

Pelvic pain as the presenting symptom of demyelinating disease is rare. We report on a 49-year-old female patient that initially had symptoms of pain and anesthesia in the perineum. Symptoms later evolved to include both lower and upper extremity weakness and were associated with enhancing spinal cord lesions on MRI. Recognizing that the patient's disease was localized only to the spinal cord led to an eventual serological diagnosis of neuromyelitis optica (Devic's disease), a demyelinating syndrome that is now considered distinct from multiple sclerosis and that primarily affects the spinal cord and optic nerves. Pelvic pain is an unusual first presentation of this illness. Additionally, this case illustrates the challenges of establishing a diagnosis of neuromyelitis optica. Recognizing the distinct clinical features of this rare illness, referring specifically from a spinal cord or ophthalmological etiology, is essential for its rapid diagnosis, and hence for initiation of appropriate therapy.

Comparison of a commercially available clinical information system with other methods of measuring critical care outcomes data.

PURPOSE: To compare the quality of data recorded by a commercially available clinical information system (CIS) to other commonly used methods for obtaining large amounts of patient data. MATERIALS AND METHODS: Five sets of clinical patient data were chosen as a cross-section of all the data collected by a CIS in our intensive care unit (ICU): 1) Length of stay in the ICU, 2) Vital signs, 3) Days of mechanical ventilation, 4) medications, and 5) diagnoses. Data generated by our ICU CIS was compared with other parallel data sets commonly used to obtain the same data for clinical research. RESULTS: When compared with our CIS, the hospital database recorded a length of stay at least 1 day longer than the actual length of stay 53% of the time. A search of 139,387 sets of vital signs showed less than 0.1% rate of suspected artifact. When compared to direct observation, our CIS correctly recorded days of mechanical ventilation in 23 of 26 patients (88%). Two other data sets, medical diagnoses and medications given showed significant differences with other commonly used databases of the same information collected outside the ICU (billing codes and pharmacy records respectively CONCLUSIONS: Compared to other commonly used data sources for clinical research, a commercially available CIS is an acceptable source of ICU patient data.