Post-COVID Conditions in US Primary Care: A PRIME Registry Comparison of Patients With COVID-19, Influenza-Like Illness, and Wellness Visits.

PURPOSE: COVID-19 is a condition that can lead to other chronic conditions. These conditions are frequently diagnosed in the primary care setting. We used a novel primary care registry to quantify the burden of post-COVID conditions among adult patients with a COVID-19 diagnosis across the United States. METHODS: We used the American Family Cohort, a national primary care registry, to identify study patients. After propensity score matching, we assessed the prevalence of 17 condition categories individually and cumulatively, comparing patients having COVID-19 in 2020-2021 with (1) historical control patients having influenza-like illness in 2018 and (2) contemporaneous control patients seen for wellness or preventive visits in 2020-2021. RESULTS: We identified 28,215 patients with a COVID-19 diagnosis and 235,953 historical control patients with influenza-like illness. The COVID-19 group had higher prevalences of breathing difficulties (4.2% vs 1.9%), type 2 diabetes (12.0% vs 10.2%), fatigue (3.9% vs 2.2%), and sleep disturbances (3.5% vs 2.4%). There were no differences, however, in the postdiagnosis monthly trend in cumulative morbidity between the COVID-19 patients (trend = 0.026; 95% CI, 0.025-0.027) and the patients with influenza-like illness (trend = 0.026; 95% CI, 0.023-0.027). Relative to contemporaneous wellness control patients, COVID-19 patients had higher prevalences of breathing difficulties and type 2 diabetes. CONCLUSIONS: Our findings show a moderate burden of post-COVID conditions in primary care, including breathing difficulties, fatigue, and sleep disturbances. Based on clinical registry data, the prevalence of post-COVID conditions in primary care practices is lower than that reported in subspecialty and hospital settings.

The Disproportionate Impact of Primary Care Disruption and Telehealth Utilization During COVID-19.

PURPOSE: The COVID-19 pandemic not only exacerbated existing disparities in health care in general but likely worsened disparities in access to primary care. Our objective was to quantify the nationwide decrease in primary care visits and increase in telehealth utilization during the pandemic and explore whether certain groups of patients were disproportionately affected. METHODS: We used a geographically diverse primary care electronic health record data set to examine the following 3 outcomes: (1) change in total visit volume, (2) change in in-person visit volume, and (3) the telehealth conversion ratio defined as the number of pandemic telehealth visits divided by the total number of prepandemic visits. We assessed whether these outcomes were associated with patient characteristics including age, gender, race, ethnicity, comorbidities, rurality, and area-level social deprivation. RESULTS: Our primary sample included 1,652,871 patients from 408 practices. During the pandemic we observed decreases of 7% and 17% in total and in-person visit volume and a 10% telehealth conversion ratio. The greatest decreases in visit volume were observed among pediatric patients (-24%), Asian patients (-11%), and those with more comorbidities (-9%). Telehealth usage was greatest among Hispanic or Latino patients (17%) and those living in urban areas (12%). CONCLUSIONS: Decreases in primary care visit volume were partially offset by increasing telehealth use for all patients during the COVID-19 pandemic, but the magnitude of these changes varied significantly across all patient characteristics. These variations have implications not only for the long-term consequences of the COVID-19 pandemic, but also for planners seeking to ready the primary care delivery system for any future systematic disruptions.

Impact of response bias in three surveys on primary care providers' experiences with electronic health records.

OBJECTIVE: To identify impacts of different survey methodologies assessing primary care physicians' (PCPs') experiences with electronic health records (EHRs), we compared three surveys: the 2022 Continuous Certification Questionnaire (CCQ) from the American Board of Family Medicine, the 2022 University of California San Francisco (UCSF) Physician Health IT Survey, and the 2021 National Electronic Health Records Survey (NEHRS). MATERIALS AND METHODS: We evaluated differences between survey pairs using Rao-Scott corrected chi-square tests, which account for weighting. RESULTS: CCQ received 3991 responses from PCPs (100% response rate), UCSF received 1375 (3.6% response rate), and NEHRS received 858 (18.2% response rate). Substantial, statistically significant differences in demographics were detected across the surveys. CCQ respondents were younger and more likely to work in a health system; NEHRS respondents were more likely to work in private practice; and UCSF respondents disproportionately practiced in larger academic settings. Many EHR experience indicators were similar between CCQ and NEHRS, but CCQ respondents reported higher documentation burden. DISCUSSION: The UCSF approach is unlikely to supply reliable data. Significant demographic differences between CCQ and NEHRS raise response bias concerns, and while there were similarities in some reported EHR experiences, there were important, significant differences. CONCLUSION: Federal EHR policy monitoring and maintenance require reliable data. This test of existing and alternative sources suggest that diversified data sources are necessary to understand physicians' experiences with EHRs and interoperability. Comprehensive surveys administered by specialty boards have the potential to contribute to these efforts, since they are likely to be free of response bias.

Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications.

BACKGROUND: The potential for machine learning (ML) to enhance the efficiency of medical specialty boards has not been explored. We applied unsupervised ML to identify archetypes among American Board of Family Medicine (ABFM) Diplomates regarding their practice characteristics and motivations for participating in continuing certification, then examined associations between motivation patterns and key recertification outcomes. METHODS: Diplomates responding to the 2017 to 2021 ABFM Family Medicine continuing certification examination surveys selected motivations for choosing to continue certification. We used Chi-squared tests to examine difference proportions of Diplomates failing their first recertification examination attempt who endorsed different motivations for maintaining certification. Unsupervised ML techniques were applied to generate clusters of physicians with similar practice characteristics and motivations for recertifying. Controlling for physician demographic variables, we used logistic regression to examine the effect of motivation clusters on recertification examination success and validated the ML clusters by comparison with a previously created classification schema developed by experts. RESULTS: ML clusters largely recapitulated the intrinsic/extrinsic framework devised by experts previously. However, the identified clusters achieved a more equal partitioning of Diplomates into homogenous groups. In both ML and human clusters, physicians with mainly extrinsic or mixed motivations had lower rates of examination failure than those who were intrinsically motivated. DISCUSSION: This study demonstrates the feasibility of using ML to supplement and enhance human interpretation of board certification data. We discuss implications of this demonstration study for the interaction between specialty boards and physician Diplomates.

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care.

Primary care physicians are likely both excited and apprehensive at the prospects for artificial intelligence (AI) and machine learning (ML). Complexity science may provide insight into which AI/ML applications will most likely affect primary care in the future. AI/ML has successfully diagnosed some diseases from digital images, helped with administrative tasks such as writing notes in the electronic record by converting voice to text, and organized information from multiple sources within a health care system. AI/ML has less successfully recommended treatments for patients with complicated single diseases such as cancer; or improved diagnosing, patient shared decision making, and treating patients with multiple comorbidities and social determinant challenges. AI/ML has magnified disparities in health equity, and almost nothing is known of the effect of AI/ML on primary care physician-patient relationships. An intervention in Victoria, Australia showed promise where an AI/ML tool was used only as an adjunct to complex medical decision making. Putting these findings in a complex adaptive system framework, AI/ML tools will likely work when its tasks are limited in scope, have clean data that are mostly linear and deterministic, and fit well into existing workflows. AI/ML has rarely improved comprehensive care, especially in primary care settings, where data have a significant number of errors and inconsistencies. Primary care should be intimately involved in AI/ML development, and its tools carefully tested before implementation; and unlike electronic health records, not just assumed that AI/ML tools will improve primary care work life, quality, safety, and person-centered clinical decision making.

Primary Care Physicians' Satisfaction With Interoperable Health Information Technology.

Importance: Enabling widespread interoperability-the ability of health information technology systems to exchange information and to use that information without special effort-is a primary focus of public policy on health information technology. More information on clinicians' experience using that technology can serve as one measure of the impact of that policy. Objective: To assess primary care physician perspectives on the state of interoperability. Design, Setting, and Participants: A cross-sectional survey of family medicine physicians in the US was conducted from December 12, 2021, to October 12, 2022. A sample of family medicine physicians who completed the Continuous Certification Questionnaire (CCQ), a required part of the American Board of Family Medicine certification process, which has a 100% response rate, were invited to participate. Main Outcomes and Measures: Eighteen items on the CCQ assessed experience accessing and using various information from outside organizations, including medications, immunizations, and allergies. Results: A total of 2088 physicians (1053 women [50%]; age reported categorically as either ≥50 years or <50 years) completed the CCQ interoperability questions in 2022. Of these respondents, 35% practiced in hospital or health system-owned practices, while 27% practiced in independently owned practices. Eleven percent were very satisfied with their ability to electronically access all 10 types of information from outside organizations included on the questionnaire, and a mean of 70% were at least somewhat satisfied. A total of 23% of family medicine physicians reported information from outside organizations was very easy to use, and an additional 65% reported that information was somewhat easy to use. Only 8% reported that information from different electronic health record (EHR) developers' products was very easy to use compared with 38% who reported information from the same EHR developer's product was very easy to use. Conclusions and Relevance: This survey study of family medicine physicians found modest and uneven improvement in physicians' experience with interoperability. These findings suggest that substantial heterogeneity in satisfaction by information type, source of information, EHR, practice type, ownership, and patient population necessitates diverse policy and strategies to improve interoperability.

Setting the Target: Comparing Family Medicine Among US Allopathic Target Schools.

BACKGROUND AND OBJECTIVES: Despite the persistent primary care physician shortage over 2 decades of allopathic medical school expansion, some medical schools are absent a department of family medicine; these schools are designated as "target" schools. These absences are important because evidence has demonstrated the association between structured exposure to family medicine during medical school and the proportion of students who ultimately select a career in family medicine. In this study, we aimed to address part of this gap by defining and characterizing the current landscape of US allopathic target schools. METHODS: We identified allopathic target schools by reviewing all Liaison Committee of Medical Education (LCME) accredited institutions for the presence of a family medicine department. To compare these schools in terms of family medicine representation and outcomes, we curated descriptive data from publicly available websites, previously published family medicine match results, and school rankings for primary care. RESULTS: We identified 12 target schools (8.7% of all US allopathic accredited medical schools) with considerable heterogeneity in opportunities for family medicine engagement, leadership, and training. Target schools with greater family medicine representation had increased outcomes for family medicine workforce and primary care opportunities. CONCLUSION: With growing primary care workforce gaps, target schools have a responsibility to enhance family medicine presence and representation at their institutions. We provide recommendations at the institutional, specialty, and national level to increase family medicine representation at target schools, with the goal that all schools eventually establish a department of family medicine.

Small Independent Primary Care Practices Serving Socially Vulnerable Urban Populations.

PURPOSE: This mixed methods study sought to describe the extent to which family physicians in urban communities serve socially vulnerable patients and to better understand their practices, their challenges, and the structural supports that could facilitate their patient care. METHODS: We conducted a quantitative analysis of questionnaire data from 100% of US physicians recertifying for family medicine from 2017 to 2020. We conducted qualitative analysis of in-depth interviews with 22 physician owners of urban, small, independent practices who reported that the majority of their patients were socially vulnerable. RESULTS: In 2020, in urban areas across the United States, 19.3% of family physicians served in independent practices with 1 to 5 clinicians, down from 22.6% in 2017. Nearly one-half of these physicians reported that >10% of their patients were socially vulnerable. Interviews with 22 physicians who reported that the majority of their patients were socially vulnerable revealed 5 themes: (1) substantial time spent addressing access issues and social determinants of health, (2) minimal support from health care entities, such as independent practice associations and health plans, and insufficient connection to community-based organizations, (3) myriad financial challenges, (4) serious concerns about the future, and (5) deep personal commitment to serving socially vulnerable patients in independent practice. CONCLUSIONS: Small independent practices serving vulnerable patients in urban communities are surviving because deeply committed physicians are making personal sacrifices. Health equity-focused policies could decrease the burden on these physicians and bolster independent practices so that socially vulnerable patients continue to have options when seeking primary care.

Physician-Level Continuity of Care and Patient Outcomes in All-Payer Claims Database.

INTRODUCTION: Being one of the few existing measures of primary care functions, physician-level continuity of care (Phy-CoC) is measured by the weighted average of patient continuity scores. Compared with the well-researched patient-level continuity, Phy-CoC is a new instrument with limited evidence from Medicare beneficiaries. This study aimed to expand the patient sample to include patients of all ages and all types of insurance and reassess the associations between full panel-based Phy-CoC scores and patient outcomes. METHODS: Cross-sectional analysis at patient-level using Virginia All-Payer Claims Database (VA-APCD). Phy-CoC scores were calculated by averaging patient's Bice-Boxerman Index scores and weighted by the total number of visits. Patient outcomes included total cost and preventable hospitalization. RESULTS: In a sample of 1.6 million Virginians, patients who lived in rural areas or had Medicare as primary insurance were more likely to be attributed to physicians with the highest Phy-CoC scores. Across all adult patient populations, we found that being attributed to physicians with higher Phy-CoC was associated with 7%-11.8% higher total costs, but was not associated with the odds of preventable hospitalization. Results from models with interactions revealed nuanced associations between Phy-CoC and total cost with patient's age and comorbidity, insurance payer, and the specialty of their physician. CONCLUSIONS: In this comprehensive examination of Phy-CoC using all populations from the VA-APCD, we found an overall positive association of higher full panel-based Phy-CoC with total cost, but a non-significant association with the risk of preventable hospitalization. Achieving higher full panel-based Phy-CoC may have unintended cost implications.

Prevalence and Predictors of Burnout Among Resident Family Physicians.

BACKGROUND AND OBJECTIVES: Resident burnout may affect career choices and empathy. We examined predictors of burnout among family medicine residents. METHODS: We used data from the 2019-2021 American Board of Family Medicine Initial Certification Questionnaire, which is required of graduating residents. Burnout was a binary variable defined as reporting callousness or emotional exhaustion once a week or more. We evaluated associations using bivariate and multilevel multivariable regression analyses. RESULTS: Among 11,570 residents, 36.4% (n=4,211) reported burnout. This prevalence did not significantly vary from 2019 to 2021 and was not significantly attributable to the residency program (ICC=0.07). Residents identifying as female reported higher rates of burnout (39.0% vs 33.4%, AOR=1.29 [95% CI 1.19-1.40]). Residents reporting Asian race (30.5%, AOR=0.78 [95% CI 0.70-0.86]) and Black race (32.3%, AOR=0.71 [95% CI 0.60-0.86]) reported lower odds of burnout than residents reporting White race (39.2%). We observed lower rates among international medical graduates (26.7% vs 40.3%, AOR=0.54 [95% CI 0.48-0.60]), those planning to provide outpatient continuity care (36.0% vs 38.7%, AOR=0.77 [95% CI 0.68-0.86]), and those at smaller programs (31.7% for <6 residents per class vs 36.3% for 6-10 per class vs 40.2% for >10 per class). Educational debt greater than $250,000 was associated with higher odds of burnout than no debt (AOR=1.29 [95% CI 1.15-1.45]). CONCLUSIONS: More than one-third of recent family medicine residents reported burnout. Odds of burnout varied significantly with resident and program characteristics.

Differences in Physician Performance and Self-rated Confidence on High- and Low-Stakes Knowledge Assessments in Board Certification.

INTRODUCTION: Evidence links assessment to optimal learning, affirming that physicians are more likely to study, learn, and practice skills when some form of consequence ("stakes") may result from an assessment. We lack evidence, however, on how physicians' confidence in their knowledge relates to performance on assessments, and whether this varies based on the stakes of the assessment. METHODS: Our retrospective repeated-measures design compared differences in patterns of physician answer accuracy and answer confidence among physicians participating in both a high-stakes and a low-stakes longitudinal assessment of the American Board of Family Medicine. RESULTS: After 1 and 2 years, participants were more often correct but less confident in their accuracy on a higher-stakes longitudinal knowledge assessment compared with a lower-stakes assessment. There were no differences in question difficulty between the two platforms. Variation existed between platforms in time spent answering questions, use of resources to answer questions, and perceived question relevance to practice. DISCUSSION: This novel study of physician certification suggests that the accuracy of physician performance increases with higher stakes, even as self-reported confidence in their knowledge declines. It suggests that physicians may be more engaged in higher-stakes compared with lower-stakes assessments. With medical knowledge growing exponentially, these analyses provide an example of the complementary roles of higher- and lower-stakes knowledge assessment in supporting physician learning during continuing specialty board certification.

Variation in Practice Patterns of Early- and Later-Career Family Physicians.

INTRODUCTION: Understanding how physicians' practice patterns change over a career is important for workforce and medical education planning. This study examined trends in self-reported practice activity among early- and later-career stage family physicians (FPs). METHODS: Data on early career FPs came from the American Board of Family Medicine's National Graduate Survey (NGS) and on later career FPs from its Continuous Certification Questionnaire (CCQ). Both cohorts could complete the Practice Demographic Survey (PDS) 3 years later. Longitudinal cohorts were from 2016 to 2019 and 2017 to 2020, respectively. All surveys included identical items on scope of practice, practice type, organization, and location. We characterized physicians as outpatient continuity only, outpatient and inpatient care (mixed practice), and no outpatient continuity (for example, hospitalist). We conducted repeated cross-sectional and longitudinal analysis of practice type. RESULTS: Our sample included 8,492 NGS and 30,491 CCQ FPs. In both groups, the vast majority provided outpatient continuity of care (77% to 81%). Approximately 25% of NGS had a mixed practice compared with approximately 16% of the CCQ group. The percent of FPs who had a mixed practice declined in both groups (34.21% to 27.10% and 23.88% to 19.33%). In both groups, physicians with higher odds of leaving mixed practice were in metropolitan counties or changed practice types. CONCLUSION: Although early-career FPs more frequently reported providing both inpatient and outpatient care and serving as hospitalists compared with later-career FPs, both groups had a decline in frequency of providing mixed practice. This change after only 3 years in practice has significant implications for patient care and medical education.

Defining comprehensiveness in primary care: a scoping review.

Introduction The term comprehensiveness was introduced into the literature as early as the 1960s and is regarded as a core attribute of primary care. Although comprehensive care is a primary care research priority encompassing patient and provider experience, cost, and health outcomes, there has been a lack of focus on consolidating existing definitions. Aim To unify definitions of comprehensiveness in primary care. Methods The PRISMA extension for scoping reviews was followed, hierarchically filtering 'comprehensiveness' MeSH terms and literature-defined affiliated terms. Snowballing methods were used to include additional literature from known experts. Articles were systematically reviewed with a three-clinician team. Results The initial search populated 679 607 articles, of which 25 were included. Identified key terms include: whole-person care (WPC), range of services, and referral to specialty care. WPC is the extent which primary care physicians (PCPs) consider the physical, emotional, and social aspects of a patient's health. It has been shown to positively impact clinical costs and outcomes, satisfaction, and trust. Range of services encompasses most health problems to reduce unnecessary spending on specialty care and promote continuity. Referral to specialty care is utilized when PCPs cannot provide the necessary services - balancing depth and breadth of care with the limitations of primary care scope. Discussion This scoping review unified the interrelatedness of comprehensiveness's main aspects - whole-person care, range of services, and referral to specialty care - framing a working, evidence-based definition: managing most medical care needs and temporarily complementing care with special integrated services in the context of patient's values, preferences, and beliefs.

COVID-19 Vaccine Strategy Left Small Primary Care Practices On The Sidelines.

We report on the experience of small primary care practices participating in a national clinical registry with COVID-19 vaccines and vaccination data. At the end of 2021, 11.2 percent of these practices' 3.9 million patients had records of COVID-19 vaccination; 43.1 percent of clinics had no record of patients' COVID-19 vaccinations, but 93.4 percent of clinics had provided or recorded other routine vaccinations.

Primary Care Physician Leadership in Top Ranked US Hospitals.

This assessment of the "top hospitals" in the US according to 4 leading rankings reveals only 4 to 7% of represented CEOs are primary care physicians by training. Greater attention to leadership development from primary care residency through health system practice is needed to avoid diminishing primary care's critical role and salutary global benefits.

Impact of Service-Based Student Loan Repayment Program on the Primary Care Workforce.

PURPOSE: As the average level of medical education indebtedness rises, physicians look to programs such as Public Service Loan Forgiveness (PSLF) and National Health Service Corps (NHSC) to manage debt burden. Both represent service-dependent loan repayment programs, but the requirements and program outcomes diverge, and assessing the relative uptake of each program may help to inform health workforce policy decisions. We sought to describe variation in the composition of repayment program participant groups and measure relative impact on patient access to care. METHODS: In this bivariate analysis, we analyzed data from 10,677 respondents to the American Board of Family Medicine's National Graduate Survey to study differences in loan repayment program uptake as well as the unique participant demographics, scope of practice, and likelihood of practicing with a medically underserved or rural population in each program cohort. RESULTS: The rate of PSLF uptake tripled between 2016 and 2020, from 7% to 22% of early career family physicians, while NHSC uptake remained static at 4% to 5%. Family physicians reporting NHSC assistance were more likely than those reporting PSLF assistance to come from underrepresented groups, demonstrated a broader scope of practice, and were more likely to practice in rural areas (23.3% vs 10.8%) or whole-county Health Professional Shortage Areas (12.5% vs 3.7%) and with medically underserved populations (82.2% vs 24.2%). CONCLUSIONS: Although PSLF supports family physicians intending to work in public service, their peers who choose NHSC are much more likely to work in underserved settings. Our findings may prompt a review of the goals of service loan forgiveness programs with potential to better serve health workforce needs.

Comparison of associations of household-level and neighbourhood-level poverty markers with paediatric asthma care utilisation by race/ethnicity in an open cohort of community health centre patients.

OBJECTIVE: The objective of this research was to examine how different measurements of poverty (household-level and neighborhood-level) were associated with asthma care utilisation outcomes in a community health centre setting among Latino, non-Latino black and non-Latino white children. DESIGN, SETTING AND PARTICIPANTS: We used 2012-2017 electronic health record data of an open cohort of children aged <18 years with asthma from the OCHIN, Inc. network. Independent variables included household-level and neighborhood-level poverty using income as a percent of federal poverty level (FPL). Covariate-adjusted generalised estimating equations logistic and negative binomial regression were used to model three outcomes: (1) ≥2 asthma visits/year, (2) albuterol prescription orders and (3) prescription of inhaled corticosteroids over the total study period. RESULTS: The full sample (n=30 196) was 46% Latino, 26% non-Latino black, 31% aged 6-10 years at first clinic visit. Most patients had household FPL <100% (78%), yet more than half lived in a neighbourhood with >200% FPL (55%). Overall, neighbourhood poverty (<100% FPL) was associated with more asthma visits (covariate-adjusted OR 1.26, 95% CI 1.12 to 1.41), and living in a low-income neighbourhood (≥100% to <200% FPL) was associated with more albuterol prescriptions (covariate-adjusted rate ratio 1.07, 95% CI 1.02 to 1.13). When stratified by race/ethnicity, we saw differences in both directions in associations of household/neighbourhood income and care outcomes between groups. CONCLUSIONS: This study enhances understanding of measurements of race/ethnicity differences in asthma care utilisation by income, revealing different associations of living in low-income neighbourhoods and households for Latino, non-Latino white and non-Latino black children with asthma. This implies that markers of family and community poverty may both need to be considered when evaluating the association between economic status and healthcare utilisation. Tools to measure both kinds of poverty (family and community) may already exist within clinics, and can both be used to better tailor asthma care and reduce disparities in primary care safety net settings.

Maternity Access in Rural America: The Role of Family Physicians in Providing Access to Cesarean Sections.

INTRODUCTION: As an increasing number of rural hospitals close their maternity care units, many of the approximately 28 million reproductive-age women living in rural America do not have local access to obstetric services. We sought to describe the characteristics and distribution of cesarean section-providing family physicians who may provide critical services in maintaining obstetric access in rural hospitals. METHODS: Using a cross-sectional study design, we linked data from the 2017 to 2022 American Board of Family Medicine's Continuting Certification Questionnaire on provision of cesarean sections as primary surgeon and practice characteristics to geographic data. Logistic regression determined associations with provision of cesarean sections. RESULTS: Of 28,526 family physicians, 589 (2.1%) provided cesarean sections as primary surgeon. Those who provided cesarean sections were more likely to be male (odds ratio (OR) = 1.573, 95% confidence limits (CL) 1.246-1.986), and work in rural health clinics (OR = 2.157, CL 1.397-3.330), small rural counties (OR = 4.038, CL 1.887-8.642), and in counties without obstetrician/gynecologists (OR = 2.163, CL 1.440-3.250). DISCUSSION: Although few in number, family physicians who provide cesarean sections as primary surgeon disproportionately serve rural communities and counties without obstetrician/gynecologists, suggesting that they provide access to obstetric services in these communities. Policies that support family physician training in cesarean sections and facilitate credentialing of trained family physicians could reverse the trend of closing obstetric units in rural communities and reduce disparities in maternal and infant health outcomes.