Global health workforce strategies to address the COVID-19 pandemic: Learning lessons for the future.

COVID-19 put unprecedented strain on the health and care workforce (HCWF). Yet, it also brought the HCWF to the forefront of the policy agenda and revealed many innovative solutions that can be built upon to overcome persistent workforce challenges. In this perspective, which draws on a Policy Brief prepared for the WHO Fifth Global Forum on Human Resources for Health, we present findings from a scoping review of global emergency workforce strategies implemented during the pandemic and consider what we can learn from them for the long-term sustainability of the HCWF. Our review shows that strategies to strengthen HCWF capacity during COVID-19 fell into three categories: (1) surging supply of health and care workers (HCWs); (2) optimizing the use of the workforce in terms of setting, skills and roles; and (3) providing HCWs with support and protection. While some initiatives were only short-term strategies, others have potential to be continued. COVID-19 demonstrated that changes to scope-of-practice and the introduction of team-based roles are possible and central to an effective, sustainable workforce. Additionally, the use of technology and digital tools increased rapidly during COVID-19 and can be built on to enhance access and efficiency. The pandemic also highlighted the importance of prioritizing the security, safety, and physical and mental health of workers, implementing measures that are gender and equity-focused, and ensuring the centrality of the worker perspective in efforts to improve HCWF retention. Flexibility of regulatory, financial, technical measures and quality assurance was critical in facilitating the implementation of HCWF strategies and needs to be continued. The lessons learned from COVID-19 can help countries strengthen the HCWF, health systems, and the health and well-being of all, now and in the future.

A Gridded Inventory of Annual 2012-2018 U.S. Anthropogenic Methane Emissions.

Nationally reported greenhouse gas inventories are a core component of the Paris Agreement's transparency framework. Comparisons with emission estimates derived from atmospheric observations help identify improvements to reduce uncertainties and increase the confidence in reported values. To facilitate comparisons over the contiguous United States, we present a 0.1° × 0.1° gridded inventory of annual 2012-2018 anthropogenic methane emissions, allocated to 26 individual source categories, with scale-dependent error estimates. Our inventory is consistent with the U.S. Environmental Protection Agency (EPA) Inventory of U.S. Greenhouse Gas Emissions and Sinks (GHGI), submitted to the United Nations in 2020. Total emissions and patterns (spatial/temporal) reflect the activity and emission factor data underlying the GHGI, including many updates relative to a previous gridded version of the GHGI that has been extensively compared with observations. These underlying data are not generally available in global gridded inventories, and comparison to EDGAR version 6 shows large spatial differences, particularly for the oil and gas sectors. We also find strong regional variability across all sources in annual 2012-2018 spatial trends, highlighting the importance of understanding regional- and facility-level activities. Our inventory represents the first time series of gridded GHGI methane emissions and enables robust comparisons of emissions and their trends with atmospheric observations.

Who is providing contraception care in the United States? An observational study of the contraception workforce.

BACKGROUND: Contraception care is essential to providing comprehensive healthcare; however, little is known nationally about the contraception workforce. Previous research has examined the supply, distribution, and adequacy of the health workforce providing contraception services, but this research has faced a series of data limitations, relying on surveys or focusing on a subset of practitioners and resulting in an incomplete picture of contraception practitioners in the United States. OBJECTIVE: This study aimed to construct a comprehensive database of the contraceptive workforce in the United States that provides the following 6 types of highly effective contraception: intrauterine device, implant, shot (depot medroxyprogesterone acetate), oral contraception, hormonal patch, and vaginal ring. In addition, we aimed to examine the difference in supply, distribution, the types of contraception services offered, and Medicaid participation. STUDY DESIGN: We constructed a national database of contraceptive service providers using multiple data sets: IQVIA prescription claims, preadjudicated medical claims, and the OneKey healthcare provider data set; the National Plan and Provider Enumeration System data set; and the Census Bureau's American Community Survey data on population demographics. All statistical analyses were descriptive, including chi-squared tests for groupwise differences and pairwise post hoc tests with Bonferroni corrections for multiple comparisons. RESULTS: Although 73.1% of obstetrician-gynecologists and 72.6% of nurse-midwives prescribed the pill, patch, or ring, only 51.4% of family medicine physicians, 32.4% of pediatricians, and 19.8% of internal medicine physicians do so. The ratio of all primary care providers prescribing contraception to the female population of reproductive age (ages, 15-44 years) varied substantially across states, with a range of 27.9 providers per 10,000 population in New Jersey to 74.2 providers per 10,000 population in Maine. In addition, there are substantial differences across states for Medicaid acceptance. Of the obstetrician-gynecologists providing contraception, the percentage of providers who prescribe contraception to Medicaid patients ranged from 83.9% (District of Columbia) to 100% (North Dakota); for family medicine physicians, it ranged from 49.7% (Florida) to 91.1% (Massachusetts); and for internal medicine physicians, it ranged from 25.0% (Texas) to 75.9% (Delaware). For in-person contraception, there were large differences in the proportion of providers offering the 3 different contraceptive method types (intrauterine device, implant, and shot) by provider specialty. CONCLUSION: This study found a significant difference in the distribution, types of contraception, and Medicaid participation of the contraception workforce. In addition to obstetrician-gynecologists and nurse-midwives, family medicine physicians, internal medicine physicians, pediatricians, advanced practice nurses, and physician assistants are important contraception providers. However, large gaps remain in the provision of highly effective services such as intrauterine devices and implants. Future research should examine provider characteristics, programs, and policies associated with the provision of different contraception services.

Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools.

BACKGROUND: As coronavirus disease 2019 (COVID-19) rapidly progressed throughout the United States, increased demand for health workers required health workforce data and tools to aid planning and response at local, state, and national levels. OBJECTIVE: We describe the development of 2 estimator tools designed to inform health workforce planning for COVID-19. RESEARCH DESIGN: We estimated supply and demand for intensivists, critical care nurses, hospitalists, respiratory therapists, and pharmacists, using Institute for Health Metrics and Evaluation projections for COVID-19 hospital care and National Plan and Provider Enumeration System, Provider Enrollment Chain and Ownership System, American Hospital Association, and Bureau of Labor Statistics Occupation Employment Statistics for workforce supply. We estimated contact tracing workforce needs using Johns Hopkins University COVID-19 case counts and workload parameters based on expert advice. RESULTS: The State Hospital Workforce Deficit Estimator estimated the sufficiency of state hospital-based clinicians to meet projected COVID-19 demand. The Contact Tracing Workforce Estimator calculated the workforce needed based on the 14-day COVID-19 caseload at county, state, and the national level, allowing users to adjust workload parameters to reflect local contexts. CONCLUSIONS: The 2 estimators illustrate the value of integrating health workforce data and analysis with pandemic response planning. The many unknowns associated with COVID-19 required tools to be flexible, allowing users to change assumptions on number of contacts and work capacity. Data limitations were a challenge for both estimators, highlighting the need to invest in health workforce data and data infrastructure as part of future emergency preparedness planning.

Physician tracking in sub-Saharan Africa: current initiatives and opportunities.

BACKGROUND: Physician tracking systems are critical for health workforce planning as well as for activities to ensure quality health care - such as physician regulation, education, and emergency response. However, information on current systems for physician tracking in sub-Saharan Africa is limited. The objective of this study is to provide information on the current state of physician tracking systems in the region, highlighting emerging themes and innovative practices. METHODS: This study included a review of the literature, an online search for physician licensing systems, and a document review of publicly available physician registration forms for sub-Saharan African countries. Primary data on physician tracking activities was collected as part of the Medical Education Partnership Initiative (MEPI) - through two rounds over two years of annual surveys to 13 medical schools in 12 sub-Saharan countries. Two innovations were identified during two MEPI school site visits in Uganda and Ghana. RESULTS: Out of twelve countries, nine had existing frameworks for physician tracking through licensing requirements. Most countries collected basic demographic information: name, address, date of birth, nationality/citizenship, and training institution. Practice information was less frequently collected. The most frequently collected practice fields were specialty/degree and current title/position. Location of employment and name and sector of current employer were less frequently collected. Many medical schools are taking steps to implement graduate tracking systems. We also highlight two innovative practices: mobile technology access to physician registries in Uganda and MDNet, a public-private partnership providing free mobile-to-mobile voice and text messages to all doctors registered with the Ghana Medical Association. CONCLUSION: While physician tracking systems vary widely between countries and a number of challenges remain, there appears to be increasing interest in developing these systems and many innovative developments in the area. Opportunities exist to expand these systems in a more coordinated manner that will ultimately lead to better workforce planning, implementation of the workforce, and better health.

Spending patterns in region of residency training and subsequent expenditures for care provided by practicing physicians for Medicare beneficiaries.

IMPORTANCE: Graduate medical education training may imprint young physicians with skills and experiences, but few studies have evaluated imprinting on physician spending patterns. OBJECTIVE: To examine the relationship between spending patterns in the region of a physician's graduate medical education training and subsequent mean Medicare spending per beneficiary. DESIGN, SETTING, AND PARTICIPANTS: Secondary multilevel multivariable analysis of 2011 Medicare claims data (Part A hospital and Part B physician) for a random, nationally representative sample of family medicine and internal medicine physicians completing residency between 1992 and 2010 with Medicare patient panels of 40 or more patients (2851 physicians providing care to 491,948 Medicare beneficiaries). EXPOSURES: Locations of practice and residency training were matched with Dartmouth Atlas Hospital Referral Region (HRR) files. Training and practice HRRs were categorized into low-, average-, and high-spending groups, with approximately equal distribution of beneficiary numbers. There were 674 physicians in low-spending training and low-spending practice HRRs, 180 in average-spending training/low-spending practice, 178 in high-spending training/low-spending practice, 253 in low-spending training/average-spending practice, 417 in average-spending training/average-spending practice, 210 in high-spending training/average-spending practice, 97 in low-spending training/high-spending practice, 275 in average-spending training/high-spending practice, and 567 in high-spending training/high-spending practice. MAIN OUTCOMES AND MEASURES: Mean physician spending per Medicare beneficiary. RESULTS: For physicians practicing in high-spending regions, those trained in high-spending regions had a mean spending per beneficiary per year $1926 higher (95% CI, $889-$2963) than those trained in low-spending regions. For practice in average-spending HRRs, mean spending was $897 higher (95% CI, $71-$1723) for physicians trained in high- vs low-spending regions. For practice in low-spending HRRs, the difference across training HRR levels was not significant ($533; 95% CI, -$46 to $1112). After controlling for patient, community, and physician characteristics, there was a 7% difference (95% CI, 2%-12%) in patient expenditures between low- and high-spending training HRRs. Across all practice HRRs, this corresponded to an estimated $522 difference (95% CI, $146-$919) between low- and high-spending training regions. For physicians 1 to 7 years in practice, there was a 29% difference ($2434; 95% CI, $1004-$4111) in spending between those trained in low- and high-spending regions; however, after 16 to 19 years, there was no significant difference. CONCLUSIONS AND RELEVANCE: Among general internists and family physicians who completed residency training between 1992 and 2010, the spending patterns in the HRR in which their residency program was located were associated with expenditures for subsequent care they provided as practicing physicians for Medicare beneficiaries. Interventions during residency training may have the potential to help control future health care spending.

Health care provider movement increased through COVID-19.

COVID-19 placed unprecedented strain on the health workforce, raising concerns of increasing worker turnover and attrition. This study explores the use of 2 publicly available Medicare datasets-Provider Enrollment, Chain, and Ownership System (PECOS) and Doctors and Clinicians-to track provider movement across states and organizations from 2017 to 2023. We found an increase in state-to-state movement of providers post-COVID-19, with an initial spike in physician movement in the first year (April 2020 to March 2021). Movement varied across specialties and professions. Between organizations, we saw an initial increase in movement for family physicians but not internal medicine physicians. Overall, provider movement was generally to larger organizations. Our study finds increasing movement of providers in the post-COVID-19 period through the novel use of 2 publicly available Medicare datasets. Tracking health care workforce movement closer to real time is important to understand a changing workforce-with differences across communities-and to guide policies to ensure sufficient workforce and prevent worsening disparities over time.

Pediatric Medical Subspecialist Use in Outpatient Settings.

Importance: A first step toward understanding whether pediatric medical subspecialists are meeting the needs of the nation's children is describing rates of use and trends over time. Objectives: To quantify rates of outpatient pediatric medical subspecialty use. Design, Setting, and Participants: This repeated cross-sectional study of annual subspecialist use examined 3 complementary data sources: electronic health records from PEDSnet (8 large academic medical centers [January 1, 2010, to December 31, 2021]); administrative data from the Healthcare Integrated Research Database (HIRD) (14 commercial health plans [January 1, 2011, to December 31, 2021]); and administrative data from the Transformed Medicaid Statistical Information System (T-MSIS) (44 state Medicaid programs [January 1, 2016, to December 31, 2019]). Annual denominators included 493 628 to 858 551 patients younger than 21 years with a general pediatric visit in PEDSnet; 5 million beneficiaries younger than 21 years enrolled for at least 6 months in HIRD; and 35 million Medicaid or Children's Health Insurance Program beneficiaries younger than 19 years enrolled for any amount of time in T-MSIS. Exposure: Calendar year and type of medical subspecialty. Main Outcomes and Measures: Annual number of children with at least 1 completed visit to any pediatric medical subspecialist in an outpatient setting per population. Use rates excluded visits in emergency department or inpatient settings. Results: Among the study population, the proportion of girls was 51.0% for PEDSnet, 51.1% for HIRD, and 49.3% for T-MSIS; the proportion of boys was 49.0% for PEDSnet, 48.9% for HIRD, and 50.7% for T-MSIS. The proportion of visits among children younger than 5 years was 37.4% for PEDSnet, 20.9% for HIRD, and 26.2% for T-MSIS; most patients were non-Hispanic Black (29.7% for PEDSnet and 26.1% for T-MSIS) or non-Hispanic White (44.9% for PEDSnet and 43.2% for T-MSIS). Annual rates for PEDSnet ranged from 18.0% to 21.3%, which were higher than rates for HIRD (range, 7.9%-10.4%) and T-MSIS (range, 7.6%-8.6%). Subspecialist use increased in the HIRD commercial health plans (annual relative increase of 2.4% [95% CI, 1.6%-3.1%]), but rates were essentially flat in the other data sources (PEDSnet, -0.2% [95% CI, -1.1% to 0.7%]; T-MSIS, -0.7% [95% CI, -6.5% to 5.5%]). The flat PEDSnet growth reflects a balance between annual use increases among those with commercial insurance (1.2% [95% CI, 0.3%-2.1%]) and decreases in use among those with Medicaid (-0.9% [95% CI, -1.6% to -0.2%]). Conclusions and Relevance: The findings of this cross-sectional study suggest that among children, 8.6% of Medicaid beneficiaries, 10.4% of those with commercial insurance, and 21.3% of those whose primary care is received in academic health systems use pediatric medical subspecialty care each year. There was a small increase in rates of subspecialty use among children with commercial but not Medicaid insurance. These data may help launch innovations in the primary-specialty care interface.

Training in Residency and Provision of Reproductive Health Services Among Family Medicine Physicians.

Importance: Contraception and abortion services are essential health care, and family medicine (FM) physicians are an important part of the workforce providing this care. Residency could inform the reproductive health services FM physicians provide. Objective: To determine which residency training factors are associated with FM physicians' provision of reproductive health services to Medicaid beneficiaries. Design, Setting, and Participants: This cross-sectional, population-based observational study of inpatient and outpatient FM physicians who completed residency between 2008 and 2018 and treated at least 1 Medicaid beneficiary in 2019 was conducted from November 2022 to March 2023. The study used 2019 American Medical Association Masterfile and Historical Residency file, as well as the 2019 Transformed Medicaid Statistical Information System claims. Exposures: Residency training in community-based or reproductive health-focused programs. Main Outcomes and Measures: The outcomes were providing the following to at least 1 Medicaid beneficiary in 2019: prescription contraception (pill, patch, and/or ring), intrauterine device (IUD) and/or contraceptive implant, and dilation and curettage (D&C). Odds of providing each outcome were measured using correlated random-effects regression models adjusted for physician, residency program, and county characteristics. Results: In the sample of 21 904 FM physician graduates from 410 FM residency programs, 12 307 were female (56.3%). More than half prescribed contraception to Medicaid beneficiaries (13 373 physicians [61.1%]), with lower proportions providing IUD or implant (4059 physicians [18.5%]) and D&C (152 physicians [.7%]). FM physicians who graduated from a Reproductive Health Education in Family Medicine program, which fully integrates family planning into residency training, had significantly greater odds of providing prescription contraception (odds ratio [OR], 1.23; 95% CI, 1.07-1.42), IUD or implant (OR, 1.79; 95% CI, 1.28-2.48), and D&C (OR, 3.61; 95% CI, 2.02-6.44). Physicians who completed residency at a Teaching Health Center, which emphasizes community-based care, had higher odds of providing an IUD or implant (OR, 1.51; 95% CI, 1.19-1.91). Conclusions and Relevance: In this cross-sectional study of FM physicians providing Medicaid service, characteristics of residency training including community-based care and integration of family planning training are associated with greater odds of providing reproductive health services. With growing reproductive health policy restrictions, providing adequate training in reproductive health is critical to maintaining access to care, especially for underserved populations.

Association of Primary Care Physicians' Individual- and Community-Level Characteristics With Contraceptive Service Provision to Medicaid Beneficiaries.

Importance: Little is known about primary care physicians who provide contraceptive services to Medicaid beneficiaries. Evaluating this workforce may help explain barriers to accessing these services since contraceptive care access is critical for Medicaid beneficiaries' health. Objective: To describe the primary care physician workforce that provides contraceptive services to Medicaid beneficiaries and explore the factors associated with their Medicaid contraceptive service provision. Design, Setting, and Participants: This cross-sectional study, conducted from August 1 to October 10, 2022, used data from the Transformed Medicaid Statistical Information System from 2016 for primary care physicians from 4 specialties (family medicine, internal medicine, obstetrics and gynecology [OBGYN], and pediatrics). Main Outcomes and Measures: The main outcomes were providing intrauterine devices (IUDs) or contraceptive implants to at least 1 Medicaid beneficiary, prescribing hormonal birth control methods (including a pill, patch, or ring) to at least 1 Medicaid beneficiary, the total number of Medicaid beneficiaries provided IUDs or implants, and the total number Medicaid beneficiaries prescribed hormonal birth control methods in 2016. Physician- and community-level factors associated with contraceptive care provision were assessed using multivariate regression methods. Results: In the sample of 251 017 physicians (54% male; mean [SD] age, 49.17 [12.58] years), 28% were international medical graduates (IMGs) and 70% practiced in a state that had expanded Medicaid in 2016. Of the total physicians, 48% prescribed hormonal birth control methods while 10% provided IUDs or implants. For OBGYN physicians, compared with physicians younger than 35 years, being aged 35 to 44 years (odds ratio [OR], 3.51; 95% CI, 2.93-4.21), 45 to 54 years (OR, 3.01; 95% CI, 2.43-3.72), or 55 to 64 years (OR, 2.27; 95% CI, 1.82-2.83) was associated with higher odds of providing IUDs and implants. However, among family medicine physicians, age groups associated with lower odds of providing IUDs or implants were 45 to 54 years (OR, 0.66; 95% CI, 0.55-0.80), 55 to 64 years (OR, 0.51; 95% CI, 0.39-0.65), and 65 years or older (OR, 0.29; 95% CI, 0.19-0.44). Except for those specializing in OBGYN, being an IMG was associated with lower odds of providing hormonal contraceptive service (family medicine IMGs: OR, 0.80 [95% CI, 0.73-0.88]; internal medicine IMGs: OR, 0.85 [95% CI, 0.77-0.93]; and pediatric IMGs: OR, 0.85 [95% CI, 0.78-0.93]). Practicing in a state that expanded Medicaid by 2016 was associated with higher odds of prescribing hormonal contraception for family medicine (OR 1.50; 95% CI, 1.06-2.12) and internal medicine (OR, 1.71; 95% CI, 1.18-2.48) physicians but not for physicians from other specialties. Conclusions and Relevance: In this cross-sectional study of primary care physicians, physician- and community-level factors, such as specialty, age, and the Medicaid expansion status of their state, were significantly associated with how they provided contraceptive services to Medicaid beneficiaries. However, the existence of associations varied across clinical specialties. Ensuring access to contraception among Medicaid beneficiaries may therefore require policy and program approaches tailored for different physician types.

Primary Care Provider Medicaid Participation Across the United States, 2016.

PURPOSE: To understand primary care provider participation in Medicaid programs across states and provider specialties and professions. METHODS: We examined the 2016 Medicaid claims data across 45 states and territories from the Transformed Medicaid Statistical Information System (T-MSIS). RESULTS: Of the 616,182 primary care providers we identified, 111,152 (18.0%) saw no Medicaid patients, 88,723 (14.4%) providers saw one to 10 Medicaid patients, 163,806 (26.6%) saw 11 to 100 Medicaid patients, and 252,501 (41.0%) saw more than 100 Medicaid patients in 2016. The proportion of providers who saw more than 100 Medicaid patients ranged from 22.9% in Virginia to 56.1% in New Mexico. Medicaid participation also differed by specialty, from 78.4% among pediatricians to 61.2% among nurse practitioners. This study lays the foundations for using T-MSIS data to identify communities at the highest risk for access barriers and support targeted policy responses.

Medical schools in sub-Saharan Africa.

Small numbers of graduates from few medical schools, and emigration of graduates to other countries, contribute to low physician presence in sub-Saharan Africa. The Sub-Saharan African Medical School Study examined the challenges, innovations, and emerging trends in medical education in the region. We identified 168 medical schools; of the 146 surveyed, 105 (72%) responded. Findings from the study showed that countries are prioritising medical education scale-up as part of health-system strengthening, and we identified many innovations in premedical preparation, team-based education, and creative use of scarce research support. The study also drew attention to ubiquitous faculty shortages in basic and clinical sciences, weak physical infrastructure, and little use of external accreditation. Patterns recorded include the growth of private medical schools, community-based education, and international partnerships, and the benefit of research for faculty development. Ten recommendations provide guidance for efforts to strengthen medical education in sub-Saharan Africa.

A survey of Sub-Saharan African medical schools.

BACKGROUND: Sub-Saharan Africa suffers a disproportionate share of the world's burden of disease while having some of the world's greatest health care workforce shortages. Doctors are an important component of any high functioning health care system. However, efforts to strengthen the doctor workforce in the region have been limited by a small number of medical schools with limited enrolments, international migration of graduates, poor geographic distribution of doctors, and insufficient data on medical schools. The goal of the Sub-Saharan African Medical Schools Study (SAMSS) is to increase the level of understanding and expand the baseline data on medical schools in the region. METHODS: The SAMSS survey is a descriptive survey study of Sub-Saharan African medical schools. The survey instrument included quantitative and qualitative questions focused on institutional characteristics, student profiles, curricula, post-graduate medical education, teaching staff, resources, barriers to capacity expansion, educational innovations, and external relationships with government and non-governmental organizations. Surveys were sent via e-mail to medical school deans or officials designated by the dean. Analysis is both descriptive and multivariable. RESULTS: Surveys were distributed to 146 medical schools in 40 of 48 Sub-Saharan African countries. One hundred and five responses were received (72% response rate). An additional 23 schools were identified after the close of the survey period. Fifty-eight respondents have been founded since 1990, including 22 private schools. Enrolments for medical schools range from 2 to 1800 and graduates range from 4 to 384. Seventy-three percent of respondents (n = 64) increased first year enrolments in the past five years. On average, 26% of respondents' graduates were reported to migrate out of the country within five years of graduation (n = 68). The most significant reported barriers to increasing the number of graduates, and improving quality, related to infrastructure and faculty limitations, respectively. Significant correlations were seen between schools implementing increased faculty salaries and bonuses, and lower percentage loss of faculty over the previous five years (P = 0.018); strengthened institutional research tools (P = 0.00015) and funded faculty research time (P = 0.045) and greater faculty involvement in research; and country compulsory service requirements (P = 0.039), a moderate number (1-5) of post-graduate medical education programs (P = 0.016) and francophone schools (P = 0.016) and greater rural general practice after graduation. CONCLUSIONS: The results of the SAMSS survey increases the level of data and understanding of medical schools in Sub-Saharan Africa. This data serves as a baseline for future research, policies and investment in the health care workforce in the region which will be necessary for improving health.

Developing a behavioral health workforce for team based care.

This is an introduction to the special issue "Innovations in Developing a Behavioral Health Workforce for Team Based Care." The purpose of this special issue was to highlight emerging research and projects to address workforce shortages and innovations in training paradigms, including those that could address the need for increased diversity. In this introduction, the authors spotlight some of the key themes as well as a few of the noticeable gaps they found as they completed this project. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Family Medicine Residencies: How Rural Training Exposure in GME Is Associated With Subsequent Rural Practice.

Background: Rural US populations face a chronic shortage of physicians and an increasing gap in life expectancy compared to urban US populations, creating a need to understand how to increase residency graduates' desire to practice in such areas. Objective: This study quantifies associations between the amount of rural training during family medicine (FM) residencies and subsequent rural work. Methods: American Medical Association (AMA) Masterfile, AMA graduate medical education (GME) supplement, American Board of Family Medicine certification, Accreditation Council for Graduate Medical Education (ACGME), and Centers for Medicare and Medicaid Services hospital costs data were merged and analyzed. Multiple logistic regression measured associations between rural training and rural or urban practice in 2018 by all 12 162 clinically active physicians who completed a US FM residency accredited by the ACGME between 2008 and 2012. Analyses adjusted for key potential confounders (age, sex, program size, region, and medical school location and type) and clustering by resident program. Results: Most (91%, 11 011 of 12 162) residents had no rural training. A minority (14%, 1721 of 12 162) practiced in a rural location in 2018. Residents with no rural training comprised 80% (1373 of 1721) of those in rural practice in 2018. Spending more than half of residency training months in rural areas was associated with substantially increased odds of rural practice (OR 5.3-6.3). Only 4% (424 of 12 162) of residents spent more than half their training in rural locations, and only 5% (26 of 436) of FM training programs had residents training mostly in rural settings or community-based clinics. Conclusions: There is a linear gradient between increasing levels of rural exposure in FM GME and subsequent rural work.

Analysis of Social Mission Commitment at Dental, Medical, and Nursing Schools in the US.

Importance: The COVID-19 pandemic and calls for racial justice have highlighted the need for schools to promote social mission. Measuring social mission engagement and performance in health professions education may encourage institutional efforts to advance health equity and social justice commitments. Objective: To describe the current state of social mission commitment within dental, medical, and nursing schools in the US and to examine how social mission performance compares across school types. Design, Setting, and Participants: This cross-sectional survey study invited all US dental and medical schools and a subset of baccalaureate- and master's degree-conferring nursing schools to participate in a self-assessment to measure their school's social mission commitment from January 29 through October 9, 2019. The survey measured 79 indicators (with indicators defined as responses to specific scored questions that indicated the state or level of social mission commitment) across 18 areas in 6 domains of school functioning (educational program, community engagement, governance, diversity and inclusion, institutional culture and climate, and research) that have potential to enhance social mission engagement and performance. Individual health professions schools were the unit of analysis, and 689 dental, medical, and nursing schools were invited to participate. School deans and program directors were the primary target respondents because of their broad insight into their school's programs and policies and their ability to request data from various internal sources. Demographic information from respondents was not collected because multiple respondents from an institution could complete different sections of the survey. Main Outcomes and Measures: Survey responses were analyzed to create indicator scores, standardized area scores, and an overall social mission score for each school. Using descriptive analyses, frequency and contingency tables of specific indicators within each area were created, and schools were compared based on ownership status (private or public), Carnegie Classification of Institutions of Higher Education research classification group (doctoral university with very high research activity [R1], doctoral university with high [R2] or moderate [R3] research activity, baccalaureate or master's nursing college or university, or special focus institution), and discipline group (dental school, medical school granting doctor of osteopathic medicine [DO] degrees, medical school granting doctor of medicine [MD] degrees, nursing school granting baccalaureate-level degrees, or nursing school granting master's-level degrees). Results: Among 689 invited schools, 242 schools (35.1%) completed the self-assessment survey. Of those, 133 (55.0%) were nursing schools, 83 (34.3%) were medical schools, and 26 (10.7%) were dental schools. Response rates ranged from 133 of 420 invited nursing schools (31.7%) to 83 of 203 invited medical schools (40.9%). Most schools included social determinants of health in their curriculum in either required courses (233 of 242 schools [96.3%]) or elective courses (4 of 242 schools [1.7%]), but only 116 of 235 schools (49.4%) integrated social determinants of health across all years of study. Most schools also included health disparities in either their required courses (232 of 242 [95.9%]) or elective courses (6 of 242 [2.5%]); however, only 118 of 235 schools (50.2%) integrated health disparities across all years of study. In several areas of social mission, public schools performed better than private schools (eg, curriculum: mean [SE] standardized area score, 0.13 [0.07] points vs -0.14 [0.09] points, respectively), and R1 doctoral universities and special focus institutions performed better than R2 and R3 doctoral universities and baccalaureate and master's nursing colleges and universities (eg, extracurricular activities: mean [SE] standardized area score, 0.25 [0.09] points for R1 doctoral universities and 0.20 [0.12] points for special focus institutions vs -0.05 [0.12] points for R2 and R3 doctoral universities and - 0.30 [0.12] points for baccalaureate and master's nursing colleges and universities. Different areas of strength emerged for dental, medical, and nursing schools. For example, in the curriculum area, MD-granting medical schools had a mean (SE) standardized area score of 0.38 (0.08) points, which was significantly higher than the standardized area scores of dental schools (mean [SE], -0.21 [0.14] points), DO-granting medical schools (mean [SE], -0.22 [0.13] points), graduate nursing schools (mean [SE], -0.21 [0.19] points), and undergraduate nursing schools (mean [SE], -0.05 [0.10] points). Conclusions and Relevance: In this study, there was widespread interest from health professions educational leaders in understanding and enhancing social mission commitment. Future work may focus on identifying and promoting best practices using the framework described, providing schools with continued opportunities for self-assessment, and further validating the self-assessment survey.

A Mixed-Methods Study of Teaching Health Center Residents' Experiences of Mentorship, Career Planning, and Postresidency Practice Environments.

PURPOSE: The Teaching Health Center (THC) Graduate Medical Education program enables primary care physicians to train in community-based, underserved settings by shifting the payment structure and training environment for graduate medical education. To understand how THCs have successfully trained primary care physicians who practice in community-based settings, the authors conducted a mixed-methods exploratory study to examine THC residency graduates' experiences of mentorship and career planning during their residencies, perceptions of preparation for postresidency practice, and how these experiences were related to postresidency practice environments. METHOD: Surveys were conducted for all 804 graduating THC residents nationally, 2014-2017 (533 respondents, 66% response rate). Three quantitative outcomes were measured: graduates' perceptions of preparation for practice after residency (Likert scale), satisfaction with mentorship and career planning (Likert scale), and characteristics of postresidency practice environment (open-ended). A qualitative analysis of open-text survey answers, using thematic content analysis, was also conducted. RESULTS: Most THC graduates (68%) were satisfied with their mentorship and career planning experience and generally felt prepared for postresidency practice in multiple settings (78%-93%). Of the 533 THC graduates who provided information about their practice environment, 445 (84%) were practicing in primary care; nationally, 64% of physicians who completed primary care residencies practiced in primary care. Of the 445 THC graduates practicing in primary care, 12% practiced in rural areas, compared with 7% of all physicians. Just over half of THC graduates (51%) practiced in medically underserved areas, compared with 39% of all physicians. CONCLUSIONS: This study offers early evidence that the THC model produces and retains primary care physicians who are well prepared to practice in underserved areas. Given these promising findings, there appears to be a substantial benefit to growing the THC program. However, the program continues to face uncertainty around ongoing, stable funding.

Association of Sociodemographic Characteristics With US Medical Student Attrition.

Importance: Diversity in the medical workforce is critical to improve health care access and achieve equity for resource-limited communities. Despite increased efforts to recruit diverse medical trainees, there remains a large chasm between the racial and ethnic and socioeconomic composition of the patient population and that of the physician workforce. Objective: To analyze student attrition from medical school by sociodemographic identities. Design, Setting, and Participants: This retrospective cohort study included allopathic doctor of medicine (MD)-only US medical school matriculants in academic years 2014-2015 and 2015-2016. The analysis was performed from July to September 2021. Main Outcomes and Measures: The main outcome was attrition, defined as withdrawal or dismissal from medical school for any reason. Attrition rate was explored across 3 self-reported marginalized identities: underrepresented in medicine (URiM) race and ethnicity, low income, and underresourced neighborhood status. Logistic regression was assessed for each marginalized identity and intersections across the 3 identities. Results: Among 33 389 allopathic MD-only medical school matriculants (51.8% male), 938 (2.8%) experienced attrition from medical school within 5 years. Compared with non-Hispanic White students (423 of 18 213 [2.3%]), those without low income (593 of 25 205 [2.3%]), and those who did not grow up in an underresourced neighborhood (661 of 27 487 [2.4%]), students who were URiM (Hispanic [110 of 2096 (5.2%); adjusted odds ratio (aOR), 1.41; 95% CI, 1.13-1.77], non-Hispanic American Indian/Alaska Native/Native Hawaiian/Pacific Islander [13 of 118 (11.0%); aOR, 3.20; 95% CI, 1.76-5.80], and non-Hispanic Black/African American [120 of 2104 (5.7%); aOR, 1.41; 95% CI, 1.13-1.77]), those who had low income (345 of 8184 [4.2%]; aOR, 1.33; 95% CI, 1.15-1.54), and those from an underresourced neighborhood (277 of 5902 [4.6%]; aOR, 1.35; 95% CI, 1.16-1.58) were more likely to experience attrition from medical school. The rate of attrition from medical school was greatest among students with all 3 marginalized identities (ie, URiM, low income, and from an underresourced neighborhood), with an attrition rate 3.7 times higher than that among students who were not URiM, did not have low income, and were not from an underresourced neighborhood (7.3% [79 of 1086] vs 1.9% [397 of 20 353]; P < .001). Conclusions and Relevance: This retrospective cohort study demonstrated a significant association of medical student attrition with individual (race and ethnicity and family income) and structural (growing up in an underresourced neighborhood) measures of marginalization. The findings highlight a need to retain students from marginalized groups in medical school.