The COVID-19 Pandemic Led To A Large Decline In Physician Gross Revenue Across All Specialties In 2020.

US health care use declined during the initial phase of the COVID-19 pandemic in 2020. Although utilization is known to have recovered in 2021 and 2022, it is unknown how revenue in 2020-22 varied by physician specialty and practice setting. This study linked medical claims from a large national federation of commercial health plans to physician and practice data to estimate pandemic-associated impacts on physician revenue (defined as payments to eligible physicians) by specialty and practice characteristics. Surgical specialties, emergency medicine, and medical subspecialties each experienced a greater than 9 percent adjusted gross revenue decline in 2020 relative to prepandemic baselines. By 2022, pathology and psychiatry revenue experienced robust recovery, whereas surgical and oncology revenue remained at or below baseline. Revenue recovery in 2022 was greater for physicians practicing in hospital-owned practices and in practices participating in accountable care organizations. Pandemic-associated revenue recovery in 2021 and 2022 varied by specialty and practice type. Given that physician financial instability is associated with health care consolidation and leaving practice, policy makers should closely monitor revenue trends among physicians in specialties or practice settings with sustained gross revenue reductions during the pandemic.

Specialist care visits outside the hospital by South Australian older adults.

BACKGROUND: Limited access to specialist medical services is a major barrier to healthcare in rural areas. We compared rural-urban specialist doctor consultations outside hospital by older adults (≥ 60 years) across South Australia. METHODS: Cross-sectional data were available from the South Australia's Department of Health. The Modified Monash Model (MM1-7) of remoteness was used to categorize data into rural (MM 3-4), remote (MM5-7), and urban (MM1-MM2) of participants in urban and non-urban South Australia. The analysis was conducted on older adults (n = 20,522), self-reporting chronic physical and common mental health conditions. RESULTS: Specialist doctor consultation in the past 4 weeks was 14.6% in our sample. In multivariable analysis, increasing age (odds ratio 1.3, 95% CI: 1.2-1.4), higher education (odds ratio 1.5, 95% CI: 1.3-1.9), physical health conditions [diabetes (odds ratio 1.2, 95% CI: 1.1-1.3); cancer (odds ratio1.8, 95% CI: 1.7-2.0); heart disease (odds ratio 1.9, 95% CI: 1.6-2.1)], and common mental disorders [depression (odds ratio 1.3, 95% CI: 1.1-1.5); anxiety (odds ratio 1.4, 95% CI: 1.1-1.6)] were associated with higher specialist care use. Specialist care use among rural (odds ratio 0.8, 95% CI: 0.6-0.9), and remote (odds ratio 0.8, 95% CI: 0.7-0.9) older people was significantly lower than their urban counterparts after controlling for age, education, and chronic disease. CONCLUSION: Our findings demonstrate a disparity in the use of out of hospital specialist medical services between urban and non-urban areas.

Physician Specialty Differences in Unprofessional Behaviors Observed and Reported by Coworkers.

Importance: Because unprofessional behaviors are associated with patient complications, malpractice claims, and well-being concerns, monitoring concerns requiring investigation and individuals identified in multiple reports may provide important opportunities for health care leaders to support all team members. Objective: To examine the distribution of physicians by specialty who demonstrate unprofessional behaviors measured through safety reports submitted by coworkers. Design, Setting, and Participants: This retrospective cohort study was conducted among physicians who practiced at the 193 hospitals in the Coworker Concern Observation Reporting System (CORS), administered by the Vanderbilt Center for Patient and Professional Advocacy. Data were collected from January 2018 to December 2022. Exposure: Submitted reports concerning communication, professional responsibility, medical care, and professional integrity. Main Outcomes and Measures: Physicians' total number and categories of CORS reports. The proportion of physicians in each specialty (nonsurgeon nonproceduralists, emergency medicine physicians, nonsurgeon proceduralists, and surgeons) who received at least 1 report and who qualified for intervention were calculated; logistic regression was used to calculate the odds of any CORS report. Results: The cohort included 35 120 physicians: 18 288 (52.1%) nonsurgeon nonproceduralists, 1876 (5.3%) emergency medicine physicians, 6743 (19.2%) nonsurgeon proceduralists, and 8213 (23.4%) surgeons. There were 3179 physicians (9.1%) with at least 1 CORS report. Nonsurgeon nonproceduralists had the lowest percentage of physicians with at least 1 report (1032 [5.6%]), followed by emergency medicine (204 [10.9%]), nonsurgeon proceduralists (809 [12.0%]), and surgeons (1134 [13.8%]). Nonsurgeon nonproceduralists were less likely to be named in a CORS report than other specialties (5.6% vs 12.8% for other specialties combined; difference in percentages, -7.1 percentage points; 95% CI, -7.7 to -6.5 percentage points; P < .001). Pediatric-focused nonsurgeon nonproceduralists (2897 physicians) were significantly less likely to be associated with a CORS report than nonpediatric nonsurgeon nonproceduralists (15 391 physicians) (105 [3.6%] vs 927 [6.0%]; difference in percentages, -2.4 percentage points, 95% CI, -3.2 to -1.6 percentage points; P < .001). Pediatric-focused emergency medicine physicians, nonsurgeon proceduralists, and surgeons had no significant differences in reporting compared with nonpediatric-focused physicians. Conclusions and Relevance: In this cohort study, less than 10% of physicians ever received a coworker report with a concern about unprofessional behavior. Monitoring reports of unprofessional behaviors provides important opportunities for health care organizations to identify and intervene as needed to support team members.

Variation in Oral Board Examination Accommodations Among Specialties.

Importance: Board certification can have broad implications for candidates' career trajectories, and prior research has found sociodemographic disparities in pass rates. Barriers in the format and administration of the oral board examinations may disproportionately affect certain candidates. Objective: To characterize oral certifying examination policies and practices of the 16 Accreditation Council for Graduate Medical Education (ACGME)-accredited specialties that require oral examinations. Design, Setting, and Participants: This cross-sectional study was conducted from March 1 to April 15, 2023, using data on oral examination practices and policies (examination format, dates, and setting; lactation accommodations; and accommodations for military deployment, family emergency, or medical leave) as well as the gender composition of the specialties' boards of directors obtained from websites, telephone calls and email correspondence with certifying specialists. The percentages of female residents and residents of racial and ethnic backgrounds who are historically underrepresented in medicine (URM) in each specialty as of December 31, 2021, were obtained from the Graduate Medical Education 2021 to 2022 report. Main Outcome and Measures: For each specialty, accommodation scores were measured by a modified objective scoring system (score range: 1-13, with higher scores indicating more accommodations). Poisson regression was used to assess the association between accommodation score and the diversity of residents in that specialty, as measured by the percentages of female and URM residents. Linear regression was used to assess whether gender diversity of a specialty's board of directors was associated with accommodation scores. Results: Included in the analysis were 16 specialties with a total of 46 027 residents (26 533 males [57.6%]) and 233 members of boards of directors (152 males [65.2%]). The mean (SD) total accommodation score was 8.28 (3.79), and the median (IQR) score was 9.25 (5.00-12.00). No association was found between test accommodation score and the percentage of female or URM residents. However, for each 1-point increase in the test accommodation score, the relative risk that a resident was female was 1.05 (95% CI, 0.96-1.16), and the relative risk that an individual was a URM resident was 1.04 (95% CI, 1.00-1.07). An association was found between the percentage of female board members and the accommodation score: for each 10% increase in the percentage of board members who were female, the accommodation score increased by 1.20 points (95% CI, 0.23-2.16 points; P = .03). Conclusions and Relevance: This cross-sectional study found considerable variability in oral board examination accommodations among ACGME-accredited specialties, highlighting opportunities for improvement and standardization. Promoting diversity in leadership bodies may lead to greater accommodations for examinees in extenuating circumstances.

Specialties preference by gender among medical students at Sefako Makgatho Health Sciences University, South Africa.

BACKGROUND:  To determine the speciality preferences and the gender differences in the choice of speciality among medical students at Sefako Makgatho Health Sciences University, South Africa. METHODS:  This cross-sectional study was conducted among fourth- to sixth-year medical students. A structured self-administered questionnaire was used to collect the data. Data analysis was performed using STATA version 16 (StataCorp, College Station, TX, United States). RESULTS:  A total of 174 students participated (response rate of 74%). Their median age was 23 years with interquartile range of 2 years. More than half (57%) were females. About 83% had no previous qualifications. Most (89%) have shown interest in pursuing specialist training. Surgery, obstetrics and gynaecology and internal medicine were the most selected specialities, while family medicine, ophthalmology, forensic medicine, public health medicine, ear, nose and throat, and accident and emergency medicine were the least preferred. Males were more likely interested in surgery and internal medicine, while females preferred obstetrics and gynaecology. CONCLUSION:  The majority of the medical students intends to pursue their postgraduate medical training. Even though the results were not statistically significant, there are gender differences in speciality preferences. There is a need to develop and implement career guidance and recruitment plans to deal with specialities with poor recruitment and gender imbalance.Contribution: To deal with specialties with poor and gender imbalance, career guidance and recruitment plans must be developed and implemented.

Restrictiveness of Medicare Advantage provider networks across physician specialties.

OBJECTIVE: The objective was to measure specialty provider networks in Medicare Advantage (MA) and examine associations with market factors. DATA SOURCES AND STUDY SETTING: We relied on traditional Medicare (TM) and MA prescription drug event data from 2011 to 2017 for all Medicare beneficiaries in the United States as well as data from the Area Health Resources File. STUDY DESIGN: Relying on a recently developed and validated prediction model, we calculated the provider network restrictiveness of MA contracts for nine high-prescribing specialties. We characterized network restrictiveness through an observed-to-expected ratio, calculated as the number of unique providers seen by MA beneficiaries divided by the number expected based on the prediction model. We assessed the relationship between network restrictiveness and market factors across specialties with multivariable linear regression. DATA COLLECTION/EXTRACTION METHODS: Prescription drug event data for a 20% random sample of beneficiaries enrolled in prescription drug coverage from 2011 to 2017. PRINCIPAL FINDINGS: Provider networks in MA varied in restrictiveness. OB-Gynecology was the most restrictive with enrollees seeing 34.5% (95% CI: 34.3%-34.7%) as many providers as they would absent network restrictions; cardiology was the least restrictive with enrollees seeing 58.6% (95% CI: 58.4%-58.8%) as many providers as they otherwise would. Factors associated with less restrictive networks included the county-level TM average hierarchical condition category score (0.06; 95% CI: 0.04-0.07), the county-level number of doctors per 1000 population (0.04; 95% CI: 0.02-0.05), the natural log of local median household income (0.03; 95% CI: 0.007-0.05), and the parent company's market share in the county (0.16; 95% CI: 0.13-0.18). Rurality was a major predictor of more restrictive networks (-0.28; 95% CI: -0.32 to -0.24). CONCLUSIONS: Our findings suggest that rural beneficiaries may face disproportionately reduced access in these networks and that efforts to improve access should vary by specialty.

Outcomes of the Main Residency Match for Applicants With Disability.

This cohort study assesses match rates of US applicants with and without disability into specialty residence programs.

The effects of the Veterans Health Administration's Referral Coordination Initiative on referral patterns and waiting times for specialty care.

OBJECTIVE: To investigate whether the Veterans Health Administration's (VA) 2019 Referral Coordination Initiative (RCI) was associated with changes in the proportion of VA specialty referrals completed by community-based care (CC) providers and mean appointment waiting times for VA and CC providers. DATA SOURCES/STUDY SETTINGS: Monthly facility level VA data for 3,097,366 specialty care referrals for eight high-volume specialties (cardiology, dermatology, gastroenterology, neurology, ophthalmology, orthopedics, physical therapy, and podiatry) from October 1, 2019 to May 30, 2022. STUDY DESIGN: We employed a staggered difference-in-differences approach to evaluate RCI's effects on referral patterns and wait times. Our unit of analysis was facility-month. We dichotomized facilities into high and low RCI use based on the proportion of total referrals for a specialty. We stratified our analysis by specialty and the staffing model that high RCI users adopted: centralized, decentralized, and hybrid. DATA COLLECTION/EXTRACTION METHODS: Administrative data on referrals and waiting times were extracted from the VA's corporate data warehouse. Data on staffing models were provided by the VA's Office of Integrated Veteran Care. PRINCIPAL FINDINGS: We did not reject the null hypotheses that high RCI use do not change CC referral rates or waiting times in any of the care settings for most specialties. For example, high RCI use for physical therapy-the highest volume specialty studied-was associated with -0.054 (95% confidence interval [CI]: -0.114 to 0.006) and 2.0 days (95% CI: -4.8 to 8.8) change in CC referral rate and waiting time at CC providers, respectively, among centralized staffing model adopters. CONCLUSIONS: In the initial years of the RCI program, RCI does not have a measurable effect on waiting times or CC referral rates. Our findings do not support concerns that RCI might be impeding Veterans' access to CC providers. Future evaluations should examine whether RCI facilitates Veterans' ability to receive care in their preferred setting.

Diversifying the Medical Pathway in a Post-Affirmative Action World.

This Viewpoint discusses a pathway toward individual, institutional, professional, and societal actions to increase the number of underrepresented individuals in medicine within the medical workforce in a "post­affirmative action" landscape.

US Postgraduate Trainee Racial, Ethnic, and Gender Representation and Faculty Compensation By Specialty.

This study compares postgraduate trainee racial, ethnic, and gender representation and faculty compensation for 21 clinical specialties using 2015-2022 data.

Workplace Harassment, Cyber Incivility, and Climate in Academic Medicine.

Importance: The culture of academic medicine may foster mistreatment that disproportionately affects individuals who have been marginalized within a given society (minoritized groups) and compromises workforce vitality. Existing research has been limited by a lack of comprehensive, validated measures, low response rates, and narrow samples as well as comparisons limited to the binary gender categories of male or female assigned at birth (cisgender). Objective: To evaluate academic medical culture, faculty mental health, and their relationship. Design, Setting, and Participants: A total of 830 faculty members in the US received National Institutes of Health career development awards from 2006-2009, remained in academia, and responded to a 2021 survey that had a response rate of 64%. Experiences were compared by gender, race and ethnicity (using the categories of Asian, underrepresented in medicine [defined as race and ethnicity other than Asian or non-Hispanic White], and White), and lesbian, gay, bisexual, transgender, queer (LGBTQ+) status. Multivariable models were used to explore associations between experiences of culture (climate, sexual harassment, and cyber incivility) with mental health. Exposures: Minoritized identity based on gender, race and ethnicity, and LGBTQ+ status. Main Outcomes and Measures: Three aspects of culture were measured as the primary outcomes: organizational climate, sexual harassment, and cyber incivility using previously developed instruments. The 5-item Mental Health Inventory (scored from 0 to 100 points with higher values indicating better mental health) was used to evaluate the secondary outcome of mental health. Results: Of the 830 faculty members, there were 422 men, 385 women, 2 in nonbinary gender category, and 21 who did not identify gender; there were 169 Asian respondents, 66 respondents underrepresented in medicine, 572 White respondents, and 23 respondents who did not report their race and ethnicity; and there were 774 respondents who identified as cisgender and heterosexual, 31 as having LGBTQ+ status, and 25 who did not identify status. Women rated general climate (5-point scale) more negatively than men (mean, 3.68 [95% CI, 3.59-3.77] vs 3.96 [95% CI, 3.88-4.04], respectively, P < .001). Diversity climate ratings differed significantly by gender (mean, 3.72 [95% CI, 3.64-3.80] for women vs 4.16 [95% CI, 4.09-4.23] for men, P < .001) and by race and ethnicity (mean, 4.0 [95% CI, 3.88-4.12] for Asian respondents, 3.71 [95% CI, 3.50-3.92] for respondents underrepresented in medicine, and 3.96 [95% CI, 3.90-4.02] for White respondents, P = .04). Women were more likely than men to report experiencing gender harassment (sexist remarks and crude behaviors) (71.9% [95% CI, 67.1%-76.4%] vs 44.9% [95% CI, 40.1%-49.8%], respectively, P < .001). Respondents with LGBTQ+ status were more likely to report experiencing sexual harassment than cisgender and heterosexual respondents when using social media professionally (13.3% [95% CI, 1.7%-40.5%] vs 2.5% [95% CI, 1.2%-4.6%], respectively, P = .01). Each of the 3 aspects of culture and gender were significantly associated with the secondary outcome of mental health in the multivariable analysis. Conclusions and Relevance: High rates of sexual harassment, cyber incivility, and negative organizational climate exist in academic medicine, disproportionately affecting minoritized groups and affecting mental health. Ongoing efforts to transform culture are necessary.

Medical School Rankings-Bad for the Health of the Profession and the Public.

This Viewpoint discusses the limitations of medical school ranking in attracting a diverse student population and urges administrators to holistically communicate their mission, goals, and learning environment as an alternative strategy.

Black men in white coats - Barriers black men face in medicine, implications to decreased representation, and potential interventions at the uniformed services university of the health sciences.

The number of black male applicants to US medical schools has remained stagnant over the last 30 years. The etiology behind the lack of applicants is multifaceted and involves greater systemic barriers, specifically, educational and social barriers. The lack of representation of black males in medicine also has downstream implications for the health of the African American/black community. African Americans exhibit some of the lowest levels of trust in the healthcare system, have less access to care than their non-minority peers, and have, comparatively, poorer healthcare outcomes than other populations in the US. Research has demonstrated that patient-provider race concordance improves communication, outcomes, culturally competent care, and satisfaction with care. The greater the gap between these two populations, the harder it becomes to improve healthcare outcomes, maintain a medically ready fighting force in the US military, and improve trust in the healthcare system. This article provides an analysis of the multifactorial barriers black male applicants face applying, matriculating, and graduating medical school and how decreased representation may affect healthcare delivery. Furthermore, this review explores next steps and potential implementations at the Uniformed Services University of the Health Sciences to address the above deficiencies.

A Comparative Study of Diagnosis and Treatment of Pott's Spine Amongst Specialists and Super Specialists in India.

Background and Objective: There is a paucity of guidelines about the diagnosis and management of Pott's spine. In this study, we report the pattern of practice of diagnosis and treatment of Pott's spine among the specialists and super-specialists in India. Subject and Methods: Response to a 22-item questionnaire regarding the diagnosis and treatment of Pott's spine has been reported. The responses were compared between medical and surgical specialists, residents and consultants, and specialists and super-specialists. There were 84 responders: 42 physicians and 42 surgeons; 48 residents and 36 faculty or consultants; 53 specialists and 31 super-specialists. Results: Thirty-eight responders rarely recommended biopsy whereas others recommended biopsy more frequently, especially the surgeons (P < 0.007). Twenty-five responders recommended immobilization even in an asymptomatic patient whereas 38 would immobilize those with neurological involvement only. All but 4 responders would repeat imaging at different time points. The response of medical treatment was judged at 1 month by 53, and 3 months by 26 responders. Surgery was recommended in a minority of patients-in those with neurological involvement or abscess. Surgeons more frequently biopsied, immobilized the patients, and recommended surgery compared to the physicians. The residents also recommended biopsy and recommended immobilization more frequently compared to consultants or faculty members. Super-specialists more frequently recommended biopsy compared to specialists. Conclusion: There is marked variation in investigations and treatment of Pott's spine patients, suggesting the need for consensus or evidence-based guidelines.

Representation of American Indian and Alaska Native Individuals in Academic Medical Training.

Importance: Identifying gaps in inclusivity of Indigenous individuals is key to diversifying academic medical programs, increasing American Indian and Alaska Native representation, and improving disparate morbidity and mortality outcomes in American Indian and Alaska Native populations. Objective: To examine representation of American Indian and Alaska Native individuals at different stages in the 2018-2019 academic medical training continuum and trends (2011-2020) of American Indian and Alaska Native representation in residency specialties. Design, Setting, and Participants: A cross-sectional, population-based analysis was conducted using self-reported race and ethnicity data on trainees from the Association of American Medical Colleges (2018), the Accreditation Council for Graduate Medical Education (2011-2018), and the US Census (2018). Data were analyzed between February 18, 2020, and March 4, 2021. Exposures: Enrolled trainees at specific stages of medical training. Main Outcomes and Measures: The primary outcome was the odds of representation of American Indian and Alaska Native individuals at successive academic medical stages in 2018-2019 compared with White individuals. Secondary outcomes comprised specialty-specific proportions of American Indian and Alaska Native residents from 2011 to 2020 and medical specialty-specific proportions of American Indian and Alaska Native physicians in 2018. Fisher exact tests were performed to calculate the odds of American Indian and Alaska Native representation at successive stages of medical training. Simple linear regressions were performed to assess trends across residency specialties. Results: The study data contained a total of 238 974 607 White and American Indian and Alaska Native US citizens, 24 795 US medical school applicants, 11 242 US medical school acceptees, 10 822 US medical school matriculants, 10 917 US medical school graduates, 59 635 residents, 518 874 active physicians, and 113 168 US medical school faculty. American Indian and Alaska Native individuals had a 63% lower odds of applying to medical school (odds ratio [OR], 0.37; 95% CI, 0.31-0.45) and 48% lower odds of holding a full-time faculty position (OR, 0.52; 95% CI, 0.44-0.62) compared with their White counterparts, yet had 54% higher odds of working in a residency specialty deemed as a priority by the Indian Health Service (OR, 1.54; 95% CI, 1.09-2.16). Of the 33 physician specialties analyzed, family medicine (0.55%) and pain medicine (0.46%) had more than an average proportion (0.41%) of American Indian and Alaska Native physicians compared with their representation across all specialties. Conclusions and Relevance: This cross-sectional study noted 2 distinct stages in medical training with significantly lower representation of American Indian and Alaska Native compared with White individuals. An actionable framework to guide academic medical institutions on their Indigenous diversification and inclusivity efforts is proposed.