Rural Communities in the United States Face Persistent Disparities in Access to Orthopaedic Surgical Care.

Background: Access to orthopaedic care across the United States (U.S.) remains an important issue, however, no recent study has examined disparities in rural access to orthopaedic care. The goals of the present study were to (1) investigate trends in the proportion of rural orthopaedic surgeons from 2013 to 2018 as well as the proportion of rural U.S. counties with access to such surgeons and (2) analyze characteristics associated with choice of a rural practice setting. Methods: The study analyzed the Centers for Medicare and Medicaid Services (CMS) Physician Compare National Downloadable File (PC-NDF) for all active orthopaedic surgeons from 2013 to 2018. Rural practice settings were defined using Rural-Urban Commuting Area (RUCA) codes. Linear regression analysis investigated trends in rural orthopaedic surgeon volume. Multivariable logistic regression evaluated the association of surgeon characteristics with rural practice setting. Results: The total number of orthopaedic surgeons increased 1.9%, from 21,045 (2013) to 21,456 (2018). Meanwhile, the proportion of rural orthopaedic surgeons decreased by roughly 0.9%, from 578 (2013) to 559 (2018). From a per capita perspective, the number of orthopaedic surgeons practicing in a rural setting per 100,000 population ranged from 4.55 orthopaedic surgeons per 100,000 in 2013 and 4.47 per 100,000 in 2018. Meanwhile, the number of orthopaedic surgeons practicing in an urban setting ranged from 6.63 per 100,000 in 2013 and 6.35 per 100,000 in 2018. The surgeon characteristics most associated with decreased odds of practicing orthopaedic surgery in a rural setting included earlier career-stage (OR: 0.80, 95% CI: [0.70-0.91]; p < 0.001) and sub-specialization status (OR: 0.40, 95% CI: [0.36-0.45]; p < 0.001). Conclusion: Existing rural-urban disparities in musculoskeletal healthcare access have persisted over the past decade and could worsen. Future research should investigate the effects of orthopaedic workforce shortages on travel times, patient cost burden, and disease specific outcomes. Level of Evidence: IV.

How Female Is the Future of Urology? Projecting Various Trajectories of the United States Urology Workforce.

OBJECTIVE: To project the number and proportion of women in the urology workforce using recent demographic trends and develop an app to explore updated projections using future data. METHODS: Demographic data were obtained from AUA Censuses and ACGME Data Resource Books. The proportion of female graduating urology residents was characterized with a logistic growth model. "Stock and Flow" models were used to project future population numbers and proportions of female practicing urologists, accounting for trainee demographics, retirement trends, and growth in the field. RESULTS: Assuming growth in urology graduate numbers and continued logistic growth in the proportion of women, 10,957 practicing urologists (38%) will be female by 2062. If the rate of women entering urology residency stagnates, 7038 urologists (24%) will be female. If the retirement rates for women in urology change to mirror those of men and the proportion of female residents continues to experience logistic growth, 11,178 urologists (38%) will be female. An interactive app was designed to allow for a range of assumptions and future data: https://stephenrho.shinyapps.io/uro-workforce/. CONCLUSION: Workforce projections should incorporate recent growth in numbers of female residents. If current growth continues, 38% of urologists will be female by 2062. The app allows for exploration of different scenarios and can be updated with new data. The projections demonstrate the need for targeted efforts to recruit women into urology, address disparities within the field, and work toward retaining female urologists. We must continue working toward an equitable future workforce that can address the impending shortage of urologists.

What Factors Are Associated With Early Career Attrition Among Orthopaedic Surgeons in the United States?

BACKGROUND: The attrition of medical personnel in the United States healthcare system has been an ongoing concern among physicians and policymakers alike. Prior studies have shown that reasons for leaving clinical practice vary widely and may range from professional dissatisfaction or disability to the pursuit of alternative career opportunities. Whereas attrition among older personnel has often been understood as a natural phenomenon, attrition among early-career surgeons may pose a host of additional challenges from an individual and societal perspective. QUESTIONS/PURPOSES: (1) What percentage of orthopaedic surgeons experience early-career attrition, defined as leaving active clinical practice within the first 10 years after completion of training? (2) What are the surgeon and practice characteristics associated with early-career attrition? METHODS: In this retrospective analysis drawn from a large database, we used the 2014 Physician Compare National Downloadable File (PC-NDF), a registry of all healthcare professionals in the United States participating in Medicare. A total of 18,107 orthopaedic surgeons were identified, 4853 of whom were within the first 10 years of training completion. The PC-NDF registry was chosen because it has a high degree of granularity, national representativeness, independent validation through the Medicare claims adjudication and enrollment process, and the ability to longitudinally monitor the entry and exit of surgeons from active clinical practice. The primary outcome of early-career attrition was defined by three conditions, all of which had to be simultaneously satisfied ("condition one" AND "condition two" AND "condition three"). The first condition was presence in the Q1 2014 PC-NDF dataset and absence from the same dataset the following year (Q1 2015 PC-NDF). The second condition was consistent absence from the PC-NDF dataset for the following 6 years (Q1 2016, Q1 2017, Q1 2018, Q1 2019, Q1 2020, and Q1 2021), and the third condition was absence from the Centers for Medicare and Medicaid Services Opt-Out registry, which tracks clinicians who have formally discontinued enrollment in the Medicare program. Of the 18,107 orthopaedic surgeons identified in the dataset, 5% (938) were women, 33% (6045) were subspecialty-trained, 77% (13,949) practiced in groups of 10 or more, 24% (4405) practiced in the Midwest, 87% (15,816) practiced in urban areas, and 22% (3887) practiced at academic centers. Surgeons not enrolled in the Medicare program are not represented in this study cohort. A multivariable logistic regression model with adjusted odds ratios and 95% confidence intervals was constructed to investigate characteristics associated with early-career attrition. RESULTS: Among the 4853 early-career orthopaedic surgeons identified in the dataset, 2% (78) were determined to experience attrition between the first quarter 2014 and the same point in 2015. After controlling for potential confounding variables such as years since training completion, practice size, and geographic region, we found that women were more likely than men to experience early-career attrition (adjusted OR 2.8 [95% CI 1.5 to 5.0]; p = 0.006]), as were academic orthopaedic surgeons compared with private practitioners (adjusted OR 1.7 [95% CI 1.02 to 3.0]; p = 0.04), while general orthopaedic surgeons were less likely to experience attrition than subspecialists (adjusted OR 0.5 [95% CI 0.3 to 0.8]; p = 0.01). CONCLUSION: A small but important proportion of orthopaedic surgeons leave the specialty during the first 10 years of practice. Factors most-strongly associated with this attrition were academic affiliation, being a woman, and clinical subspecialization. CLINICAL RELEVANCE: Based on these findings, academic orthopaedic practices might consider expanding the role of routine exit interviews to identify instances in which early-career surgeons face illness, disability, burnout, or any other forms of severe personal hardships. If attrition occurs because of such factors, these individuals could benefit from connection to well-vetted coaching or counseling services. Professional societies might be well positioned to conduct detailed surveys to assess the precise reasons for early attrition and characterize any inequities in workforce retention across a diverse range of demographic subgroups. Future studies should also determine whether orthopaedics is an outlier, or whether 2% attrition is similar to the proportion in the overall medical profession.

Do Patients Reporting Fractures Experience Food Insecurity More Frequently Than the General Population?

BACKGROUND: The economic burden of traumatic injuries forces families into difficult tradeoffs between healthcare and nutrition, particularly among those with a low income. However, the epidemiology of food insecurity among individuals reporting having experienced fractures is not well understood. QUESTIONS/PURPOSES: (1) Do individuals in the National Health Interview Survey reporting having experienced fractures also report food insecurity more frequently than individuals in the general population? (2) Are specific factors associated with a higher risk of food insecurity in patients with fractures? METHODS: This retrospective, cross-sectional analysis of the National Health Interview Survey was conducted to identify patients who reported a fracture within 3 months before survey completion. The National Health Interview Survey is an annual serial, cross-sectional survey administered by the United States Centers for Disease Control, involving approximately 90,000 individuals across 35,000 American households. The survey is designed to be generalizable to the civilian, noninstitutionalized United States population and is therefore well suited to evaluate longitudinal trends in physical, economic, and psychosocial health factors nationwide. We analyzed data from 2011 to 2017 and identified 1399 individuals who reported sustaining a fracture during the 3 months preceding their survey response. Among these patients, 27% (384 of 1399) were older than 65 years, 77% (1074) were White, 57% (796) were women, and 14% (191) were uninsured. A raw score compiled from 10 food security questions developed by the United States Department of Agriculture was used to determine the odds of 30-day food insecurity for each patient. A multivariate logistic regression analysis was performed to determine factors associated with food insecurity among patients reporting fractures . In the overall sample of National Health Interview Survey respondents, approximately 0.6% (1399 of 239,168) reported a fracture. RESULTS: Overall, 17% (241 of 1399) of individuals reporting broken bones or fractures in the National Health Interview Survey also reported food insecurity. Individuals reporting fractures were more likely to report food insecurity if they also were aged between 45 and 64 years (adjusted odds ratio 4.0 [95% confidence interval 2.1 to 7.6]; p < 0.001), had a household income below USD 49,716 (200% of the federal poverty level) per year (adjusted OR 3.1 [95% CI 1.9 to 5.1]; p < 0.001), were current tobacco smokers (adjusted OR 2.8 [95% CI 1.6 to 5.1]; p < 0.001), and were of Black race (adjusted OR 1.9 [95% CI 1.1 to 3.4]; p = 0.02). CONCLUSION: Among patients with fractures, food insecurity screening and routine nutritional assessments may help to direct financially vulnerable patients toward available community resources. Such screening programs may improve adherence to nutritional recommendations in the trauma recovery period and improve the physiologic environment for adequate soft tissue and bone healing. Future research may benefit from the inclusion of clinical nutritional data, a broader representation of high-energy injuries, and a prospective study design to evaluate cost-efficient avenues for food insecurity interventions in the context of locally available social services networks. LEVEL OF EVIDENCE: Level III, prognostic study.

Do Americans Lacking a Local Orthopaedic Surgeon Have Adequate Broadband for Telehealth?

BACKGROUND: Although telehealth holds promise in expanding access to orthopaedic surgical care, high-speed internet connectivity remains a major limiting factor for many communities. Despite persistent federal efforts to study and address the health information technology needs of patients, there is limited information regarding the current high-speed internet landscape as it relates to access to orthopaedic surgical care. QUESTIONS/PURPOSES: (1) What is the distribution of practicing orthopaedic surgeons in the United States relative to the presence of broadband internet access? (2) What geographic, demographic, and socioeconomic factors are associated with the absence of high-speed internet and access to a local orthopaedic surgeon? METHODS: The Federal Communications Commission (FCC) Mapping Broadband in America interactive tool was used to determine the proportion of county residents with access to broadband-speed internet for all 3141 US counties. Data regarding the geographic distribution of orthopaedic surgeons and county-level characteristics were obtained from the 2015 Physician Compare National Downloadable File and the Area Health Resource File, respectively. The FCC mapping broadband public use files are considered the most comprehensive datasets describing high-speed internet infrastructure within the United States. The year 2015 represents the most recently available FCC data for which county-level broadband penetration estimates are available. Third-party audits of the FCC data have shown that broadband expansion has been slow over the past decade and that many large improvements have been driven by changes in the reporting methodology. Therefore, we believe the 2015 FCC data still hold relevance. The primary outcome measure was the simultaneous absence of at least 50% broadband penetration and at least one orthopaedic surgeon practicing in county limits. Statistical analyses using Kruskal-Wallis tests and multivariable logistic regression were conducted to assess for factors associated with inaccessibility to orthopaedic telehealth. All statistical tests were two-sided with a significance threshold of p < 0.05. RESULTS: In 2015, 14% (448 of 3141) of counties were considered "low access" in that they both had no orthopaedic surgeons and possessed less than 50% broadband access. A total of 4,660,559 people lived within these low-access counties, representing approximately 1.4% (4.6 million of 320.7 million) of the US population. After controlling for potential confounding variables, such as the age, sex, income level, and educational attainment, lower population density per square mile (OR 0.92 [95% confidence interval (CI) 0.90 to 0.94]; p < 0.01), a lower number of primary care physicians per 100,000 (OR 0.88 [95% CI 0.81 to 0.97]; p < 0.01), a higher unemployment level (OR 1.3 [95% CI 1.2 to 1.4]; p < 0.01), and greater number preventable hospital stays per 100,000 (OR 1.01 [95% CI 1.01 to 1.02]; p < 0.01) were associated with increased odds of being a low-access county (though the effect size of the finding was small for population density and number of primary care physicians). Stated another way, each additional person per square mile was associated with an 8% (95% CI 6% to 10%; p < 0.01) decrease in the odds of being a low-access county, and each additional percentage point of unemployment was associated with a 30% (95% CI 20% to 40%) increase in the odds of being a low-access county. CONCLUSION: Despite the potential for telehealth programs to improve the delivery of high-quality orthopaedic surgical care, broadband internet access remains a major barrier to implementation. Until targeted investments are made to expand broadband infrastructure across the country, health systems, policymakers, and surgeon leaders must capitalize on existing federal subsidy programs, such as the lifeline or affordability connectivity initiatives, to reach unemployed patients living in economically depressed regions. The incorporation of internet access questions into clinic-based social determinants screening may facilitate the development of alternative follow-up protocols for patients unable to participate in synchronous videoconferencing. CLINICAL RELEVANCE: Some orthopaedic patients lack the broadband capacity necessary for telehealth visits, in which case surgeons may pursue alternative methods of follow-up such as mobile phone-based surveillance of postoperative wounds, surgical sites, and clinical symptoms.

Nationwide disparities in transportation related delays to care experienced by children with frequent ear infections.

BACKGROUND: Acute otitis media (AOM), or ear infection, is the most common reason for pediatric medical visits in the United States [1]. Additionally, transportation barriers are a significant driver of missed and delayed care across medical specialties [2,3]. Yet, the role of transportation barriers in impeding access for children with frequent ear infections (FEI) has not been investigated. Assessing the prevalence of transportation barriers across sociodemographic groups may help clinicians improve outcomes for children with FEI. METHODS: A retrospective analysis of the U.S. National Health Interview Survey was completed to examine associations between sociodemographic characteristics among children with FEI and transportations barriers to seeking care between 2011 and 2018. RESULTS: Multivariable logistic regression found that income level, insurance status, and health status were linked to disparities in transportation barriers among children with FEI. Those in the middle (aOR 3.00, 95% CI 1.77-5.08, p < 0.001) and lowest income brackets (aOR 6.33, 95% CI 3.80, p < 0.001), who were publicly insured (aOR 3.24, 95% CI 2.00-5.23, p < 0.001) or uninsured (aOR 3.46, 95% CI 1.84-6.51, p < 0.001), and with Poor to Fair health status were more likely to face transportation delays than patients who were in the highest income bracket, privately insured, or had Good to Excellent health status. CONCLUSION: Children with FEI from families that were lower-income, less insured, and less healthy faced more transportation barriers when accessing care than their counterparts. Future interventions to improve health-related transportation should be targeted toward these patient subgroups to reduce gaps in outcomes.