Abstract
Context
Underserved communities in southeastern Ohio and Appalachia face significant healthcare accessibility challenges, with the Midwest offering a lower density of healthcare providers compared to coastal regions. Specifically, underserved communities in southeastern Ohio and Appalachia are disadvantaged in otolaryngology care.
Objectives
This analysis aims to identify factors that lead otolaryngologists to a respective practice location, and if any of that influence comes from where otolaryngologists completed their medical education.
Methods
The proportion of otolaryngologists who performed medical school, residency, and/or fellowship in Ohio was analyzed utilizing a three-sample test for equality. Multivariate logistic regression and Pearson prediction models were produced to analyze the impact of performing medical training (medical school, residency, and fellowship) in Ohio.
Results
Going to medical school in Ohio significantly increases the odds of going to an otolaryngology residency in the state (p<0.001). Moreover, between medical school and residency, medical school was a significantly better predictor of otolaryngologists practicing in Appalachia (Δ Bayesian Information Criterion [BIC]>2) and southeast Ohio (ΔBIC>10). Medical school in state was also a better predictor of percent rural and median household income than residency (ΔBIC>10). The multivariate model of medical school and residency was significantly better than either predictor alone for the population (ΔBIC>2). All models predicting percent rural were significantly improved with the addition of a Doctor of Osteopathy (DO) degree (ΔBIC>10).
Conclusions
Where physicians complete their medical training (medical school, residency, and fellowship) in state has a significant impact on predicting their future place of practice. This study found that the location of such training has a positive predictive nature as to whether that physician will practice in a rural and underserved area in the future. Notably, the addition of being licensed as a DO also increased the probability of that physician practicing in a rural area.
The Centers for Disease Control and Prevention (CDC) defines health disparities as preventable differences in disease burden, injury, and violence, as well as unequal opportunities for optimal health, experienced by socially disadvantaged racial, ethnic, and other groups and communities [1]. Underserved communities in southeastern Ohio and Appalachia face significant healthcare accessibility challenges, with the Midwest offering a lower density of healthcare providers compared to coastal regions [2]. Research indicates a positive correlation between otolaryngologist density and areas with higher socioeconomic status, characterized by greater levels of education and income, while negative associations exist with increasing poverty and age [2].
Otolaryngology trainees often feel compelled to leave rural communities and even their home states due to the competitive nature of Ear, Nose, and Throat (ENT) residency programs [2]. In 2021, the overwhelming majority of ENT residency programs (91 out of 100) were in saturated metropolitan areas, exacerbating the distribution disparity [2]. Rural locations comprise 20 % of the total United States population, an increase from the 2016 census of 15 %, and represent growth as the healthcare system shifts to accommodate the disparities that widely affect these communities [2], [3], [4], [5]. However, the increasing representation of the rural population studies have identified cases in which veterans, with health coverage, living in medically underserved areas still struggle to meet geographic barriers in obtaining cochlear implants [6], 7].
A variety of intersecting factors such as socioeconomic status, race, education, sex, religion, and other social determinants of health impact rural health. Only 25 % of adults living in rural areas adhere to four out of five health-related behaviors, including abstaining from smoking, maintaining normal body weight, staying active, moderate alcohol consumption, and getting enough sleep [8]. When it comes to slowing the rate of cancer deaths in rural America, we are not as fast or effective, reducing the rate by only 1 % per year, in comparison with urban areas’ 1.6 %, even though there is a lower incidence of cancer [9]. Despite alarms that disparities exist between rural and urban communities and are major contributors to advanced disease progression and poorer outcomes, data are limited concerning otolaryngologic disease. Although stronger data are needed to confirm the associations with worse outcomes in oral-cavity cancer, previous studies have found that the risk of death increases when hospitalized at small-bed, rural, or nonteaching hospitals [10], 11]. Studies suggest that with the known disparities faced by rural America, that data would validate the previous theories [10], 11].
While family physicians play a crucial role in rural healthcare, the unique benefits of their diverse training are often understated. Rural areas, compared to urban settings, have a more equitable distribution of family physicians [12]. However, this distribution fails to meet the higher demand in rural regions where healthcare options are limited, and family physicians must possess a broader scope of knowledge to adequately serve their communities [12].
One study highlighted that rural Japan faces similar challenges to rural areas in the United States, where an equitable population-based distribution of family physicians still leaves rural regions at a disadvantage [12]. This discrepancy, albeit less pronounced in the United States, is attributed to a more mature primary care health model. Areas need more family physicians and lack the specialized healthcare institutions available in urban centers. Consequently, rural family physicians need a wider range of expertise to compensate for the scarcity of specialized services [12].
Physicians trained in rural healthcare models during their residency programs traditionally feel more comfortable handling a wider variety of cases regardless of their complexity, in comparison to their urban-trained counterparts [13]. This suggests that rural-trained physicians may offer a broader scope of practice, which is essential for effectively serving rural populations, where specialized care options are limited. Consequently, practicing in rural areas necessitates maintaining a broad skill set to meet the diverse healthcare needs [13].
Ninety percent of former American Osteopathic Association (AOA) residency programs transitioned to the Accreditation Council for Graduate Medical Education (ACGME) [14]. There was a transitional strain among surgical subspecialty programs, such as otolaryngology (ENT, 62 %) and ophthalmology (47 %), that struggled with gaining accreditation, resulting in the closure of many osteopathic residency programs [14]. A survey was distributed that sought to answer whether candidates for a Doctor of Osteopathy (DO) degree and current DO residents and fellows felt any special inclination to practicing rural medicine. Among the DO candidate students, 58 % said that they would pursue a rural career if factors like financial incentives were more attractive [14]. When DO residents and fellows were surveyed, this rate increased to 67 %. Although just over half of the DO residents (53 %) were raised in a rural environment, resident physicians also stated that they felt that rural medical practice served a greater community impact when compared to the urban counterpart [14]. A higher percentage indicated that they enjoyed the continuity of care required by rural medicine. When Griffith et al. [15] compared the geographic distribution of otolaryngologist DOs with otolaryngologist allopathic physicians in Pennsylvania, they discovered that 70 % (32 of 47) of the DOs practiced in cities with a population of 49,999 or less. More than half of allopathic otolaryngologists practiced in cities larger than 50,000 (120 of 238), with 40 % (96 of 238) practicing in cities with populations of at least 200,000 [15], 16]. The loss of the AOA surgical subspecialty programs may decrease access to surgical care in rural and nonmetropolitan areas [17].
Initiatives targeting physician training in rural medicine are gaining momentum, offering incentives across various career stages, even starting from high school [18], 19]. J-1 visa waiver programs facilitate international medical students’ entry into the US healthcare system after training. Area Health Education Centers (AHECs) provide scholar programs nurturing culturally competent primary care educators at national and local levels [18], 19].
The challenge lies in ensuring equitable pay in rural medicine areas compared to urban areas. While loan repayment programs exist to combat this issue, graduate medical education (GME) initiatives are also addressing pay gaps [20]. However, this endeavor faces controversy, because it requires restructuring rural health pay models that are reliant on Medicaid and Medicare services. Recommendations from the Council on Graduate Medical Education (COGME) advocate for bolstering infrastructure to meet rural health demands while ensuring workforce satisfaction [20], 21].
Memorial University of Newfoundland in Canada has distinguished itself as a rural-focused medical school, adapting its curriculum to meet regional needs comprehensively [22]. A retrospective study spanning 2004–2013 found that graduates from Memorial University were notably ahead of the national average in terms of practicing rural health physicians across various program types, highlighting its effectiveness [22].
Enhancing collaboration between primary care providers (PCPs) and specialists through integrated care teams elevates the standard of care, prioritizing patient-centered approaches. This collaborative competency, emphasized in both postgraduate and continuing medical education, fosters clarity in roles, respectful communication, and mutual understanding among all team members [22].
Telemedicine emerges as a viable solution, allowing subspecialists the chance to offer remote healthcare services that particularly benefit communities facing travel barriers [23]. Outreach programs and mobile health clinics from larger facilities extend specialist consultation services to primary care settings, improving healthcare access and triaging more serious cases that need additional medical attention [23].
Training otolaryngology resident physicians in rural settings acts as a qualifier, expanding a skill set in both secondary medical support and primary care delivery [24]. This hands-on training in outpatient centers enhances their proficiency in managing common ailments such as vertigo, cough/sputum, and headache [24].
According to Pillsbury et al. [25], the future direction of the ENT specialty suggests a shift for otolaryngologists from surgical procedures to more patient evaluation and management. This update improves reimbursement methods for minor surgeries and recommends specialized medical training in areas such as allergies, cutaneous malignancies, and thyroid and parathyroid surgeries for an aging population, all of which are better handled in an outpatient office setting [25]. Managed care facilities may have different protocols than fee-for-service settings [25], 26].
The current research leaves a gap regarding the likelihood of otolaryngologists practicing in locations based on where they completed their medical training and GME. Our study aims to identify what factors lead otolaryngologists to a respective practice location, and if any of that influence comes from where otolaryngologists completed their medical education. We hypothesize that with training in areas that better reflect the geographical distribution of people living in rural or urban communities in Ohio, there would be a higher likelihood of practicing in an underserved area within the state. Our goal is to enhance the understanding of factors that influence the ultimate practice location for otolaryngologists.
Methods
Ethics approval
This research is exempt from Institutional Review Board (IRB) review and does not qualify as human subjects research under federal regulations, because it utilized de-identified, publicly available data. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines were followed in this study [27].
Data source
The data utilized in this research study were sourced from the Centers for Medicare & Medicaid Services (CMS) [28]. CMS provided data concerning otolaryngologists practicing within the state of Ohio. Information on residency and fellowship programs for otolaryngologists was found utilizing employer resources (i.e., Nationwide Children’s Hospital, University Hospitals in Cleveland, Cleveland Clinic, OhioHealth, The Ohio State University Wexner Medical Center, etc.). The rest of the data were compiled from the University of Wisconsin Population Health Institute’s program called County Health Rankings & Roadmaps, which obtained original data from various governmental and health institutions [29].
Inclusion criteria
The inclusion of participants for this study required data on otolaryngologists in Ohio and the classification of Appalachian counties vs. non-Appalachian counties in Ohio. Additionally, this study utilized a subset of the data that included all Ohio medical graduates who completed an otolaryngology residency.
Variables
The following variables were chosen because of their connections to the training pathway of an otolaryngologist and potential demographic changes across Ohio. Otolaryngologists were defined as non-Federal doctors of medicine (MDs) and doctors of osteopathy (DOs) who specialized in otolaryngology, per the CMS provider data from 2020. Percent Rural was the percentage from 0 to 100 of the population living in a rural area, according to the 2010 Census Population Estimates [30]. Median Household Income was the 50th percentile for household income in a county according to the Small Area Income and Poverty Estimates for the year 2021 [31].
Statistical analysis
This study attempted to predict the likelihood of otolaryngologists practicing in certain locations based on their medical training. The proportion of otolaryngologists who performed medical school, residency, and/or fellowship in Ohio was analyzed utilizing a three-sample test for equality [32]. The proportions test was analyzed utilizing the Bonferroni-corrected significance level of α=0.01.
Conditional probabilities were calculated to find the likelihood of pursuing a residency and fellowship in Ohio given that the physician had performed previous training in the state.
A comparison between county demographics of practice locations for otolaryngologists who graduated from an allopathic and osteopathic medical school was conducted. This included comparing Appalachian and southeast classifications, as well as the mean population, percent rural, and household income across counties. Counties were classified as Appalachian or non-Appalachian based on the Appalachian Regional Commission [33]. Counties were also classified as southeastern or non-southeastern according to the Southeast Ohio Regional Prevention Council [34].
Multivariate logistic regression prediction models were produced to analyze the impact of performing medical training (medical school, residency, and fellowship) in Ohio. Logistic regression prediction models calculated the relationship between binary dependent (response) variables and various independent (predictor) variables. For these prediction models, all Ohio medical student graduates who pursued a career in otolaryngology were included. The variables of Appalachia and southeastern were binomial response variables. The relationship between medical training (medical school, residency, and fellowship) and other socioeconomic determinants of health (population, percent rural, and income) was investigated via Pearson correlation tests. Additionally, the effect of allopathic/osteopathic affiliation on ultimate practice location was added to the multivariate models. The Bonferroni-corrected significance level for the regression models was set at α=0.01.
Models were compared utilizing the Bayesian Information Criterion (BIC). BIC is a criterion for model selection, in which lower values indicate a better model fit [35]. The BIC is a useful criterion for comparing models with the same dependent variable. Consequentially, models with the same dependent (response) variable can be statistically compared. Models with different dependent variables cannot be accurately compared utilizing the BIC. Therefore, this study utilized the BIC to compare models predicting the same variable only. A ΔBIC <2 (calculated by taking the difference between the BIC of two models) indicated weak evidence [35]. A ΔBIC between 2 and 10 indicated moderate evidence, and a ΔBIC>10 indicated strong evidence in favor of the model with a lower BIC. The collected variables and data were merged and analyzed utilizing RStudio, version 2023.03.1+446 (statistical computing program).
Results
This study analyzed a total of 361 otolaryngologists practicing in Ohio (Table 1). Of the 361 physicians, 140 (38.9 %) went to medical school and 151 (41.8 %) went to residency in Ohio. Moreover, 83 (22.9 %) otolaryngologists performed their medical education and residency in the state of Ohio. The proportion of otolaryngologists that performed their medical school, residency, and/or fellowship in the state of Ohio was statistically significant (p<0.01).
The number of otolaryngologists practicing in Ohio who performed medical training within vs. outside the state.
| Demographics | |||||
|---|---|---|---|---|---|
| OH, n | Outside OH, n | Total, n | Percent, % | p-Value | |
| Medical school | 140 | 221 | 361 | 38.9 | <0.01 |
| Residency | 151 | 210 | 361 | 41.8 | |
| Fellowship | 39 | 113 | 152 | 25.7 | |
| Medical school+residency | 83 | 278 | 361 | 22.9 | <0.01 |
| Medical school+residency+fellowship | 9 | 143 | 152 | 5.9 | |
| P(residency OH | Med OH) | 83 | 57 | 140 | 59.3 | <0.01 |
| P(fellowship OH | [residency OH U Med OH]) | 19 | 55 | 74 | 25.7 | |
-
OH, Ohio.
Of the 140 otolaryngologists who went to medical school in Ohio, 83 (59 %) continued their residency in the state. Thus, going to medical school in Ohio significantly increases the odds of going to an otolaryngology residency in the state (p<0.001). However, going to medical school or residency in Ohio did not increase the likelihood of otolaryngologists performing a fellowship in the state (p=1.0).
Thirteen of the 88 counties (15 %) were considered to be in southeast Ohio, and 32 of the counties (36 %) were in the Appalachian region (Figure 1) [36]. The subset of 13 counties in southeast Ohio are all classified as Appalachian. Although more osteopathic otolaryngologists practiced in the Appalachian region than allopathic otolaryngologists (17.4 % vs. 11.1 %), the difference was not statistically significant (p=0.3) (Table 2).
![Figure 1:
Map of Ohio with the Appalachian region highlighted, as defined by the Foundation for Appalachian Ohio. The Southeast Ohio region consists of the following 13 counties: Athens, Gallia, Hocking, Jackson, Lawrence, Meigs, Morgan, Perry, Pike, Ross, Scioto, Vinton, and Washington [36].](/document/doi/10.1515/jom-2024-0035/asset/graphic/j_jom-2024-0035_fig_001.jpg)
Map of Ohio with the Appalachian region highlighted, as defined by the Foundation for Appalachian Ohio. The Southeast Ohio region consists of the following 13 counties: Athens, Gallia, Hocking, Jackson, Lawrence, Meigs, Morgan, Perry, Pike, Ross, Scioto, Vinton, and Washington [36].
A comparison between the practice locations for otolaryngologists who graduated from allopathic and osteopathic medical schools.
| Comparison of practice location for allopathic and osteopathic otolaryngologists | ||||
|---|---|---|---|---|
| Appalachia, n | Total, n | Percent, % | p-Value | |
|
|
||||
| Osteopathic (DO) | 8 | 46 | 17.4 | 0.32 |
| Allopathic (MD) | 35 | 315 | 11.1 | |
| Total | 43 | 361 | 11.9 | – |
| Southeast Ohio, n | Total, n | Percent, % | p-Value | |
|
|
||||
| Osteopathic (DO) | 6 | 46 | 13 | <0.01 |
| Allopathic (MD) | 9 | 315 | 2.9 | |
| Total | 15 | 361 | 4.2 | – |
| Population (mean) | Population (SD) | p-Value | |
|
|
|||
| Osteopathic (DO) | 1,390,641 | 1,515,647 | <0.001 |
| Allopathic (MD) | 2,986,130 | 1,962,464 | |
| Total | 2,782,827 | 1,982,455 | – |
| Rural % (mean) | Rural % (SD) | p-Value | |
|
|
|||
| Osteopathic (DO) | 28.2 | 25.3 | <0.001 |
| Allopathic (MD) | 12.7 | 18.9 | |
| Total | 14.7 | 20.5 | – |
| MHI (mean) | MHI (SD) | p-Value | |
|
|
|||
| Osteopathic (DO) | 61,645.7 | 11,114.6 | 0.9 |
| Allopathic (MD) | 61,890.5 | 11,081.1 | |
| Total | 61,859.3 | 11,070.2 | – |
-
DO, doctor of osteopathy; MHI, median household income; SD, standard deviation.
There was a significant difference (p<0.01) in the proportion of osteopathic and allopathic otolaryngologists who practiced in southeast Ohio (13.0 % vs. 2.9 %). Additionally, the mean population (p<0.001) and percent rural (p<0.001) of counties were significantly different between osteopathic and allopathic physicians. Osteopathic medical graduates practiced in counties with an average of 28.2 % rural (standard deviation [SD]=25.3), whereas allopathic medical graduates practiced in counties with an average of 12.7 % rural (SD=18.9).
The number of practicing otolaryngologists increased with the recency of medical school graduation (Figure 2). Specifically, more than 90 % of otolaryngologists in Ohio graduated medical school after 1983, and approximately 15 % graduated between 2008 and 2014.

The number of otolaryngologists practicing in Ohio sorted by medical school graduation year, with a cumulative line curve identifying the total proportion of otolaryngologists.
In total, 390 Ohio medical school graduates completed residency training in otolaryngology. Multivariate logistic regression prediction models depicted the relationship between performing medical training (medical school, residency, and fellowship) in Ohio and practicing in the Appalachian or southeastern region for these 390 medical graduates (Table 3). Going to medical school and/or residency in the state was a significant predictor of practicing in Appalachia (p<0.001) or southeast Ohio (p<0.001). Moreover, between medical school and residency, medical school was a significantly better predictor of otolaryngologists practicing in Appalachia (ΔBIC>10) and southeast Ohio (ΔBIC>10). For the continuous prediction models of percent rural and median household income, performing medical school in Ohio was a better predictor than residency (ΔBIC>10). Performing residency in state was a better predictor for county population than medical school (ΔBIC>10). Combining these predictor variables yielded the best results. The multivariate model of medical school and residency was significantly better than either predictor alone for population (ΔBIC>2).
Modeling the effects of medical training location on the ultimate area of practice for Ohio otolaryngologists, utilizing the subset of all 390 otolaryngologists who graduated from an Ohio medical school.
| Appalachia | |||
| Model | Variable | p-Value | BIC |
|
|
|||
| Medical school | Medical | <0.001 | 72 |
| Residency | Residency | <0.001 | 116 |
| Medical school + residency | Medical | <0.001 | 76 |
| Residency | 0.4 | ||
| Medical school + residency + fellowship | Medical | <0.01 | 26 |
| Residency | 0.3 | ||
| Fellowship | 0.2 | ||
| Southeast Ohio | |||
| Model | Variable | p-Value | BIC |
|
|
|||
| Medical school | Medical | <0.001 | 17 |
| Residency | Residency | <0.001 | 95 |
| Medical school + residency | Medical | 0.9 | 21 |
| Residency | 0.9 | ||
| Medical school + residency + fellowship | Medical | 1.0 | 11 |
| Residency | 1.0 | ||
| Fellowship | 1.0 | ||
| Population | |||
| Model | Correlation coefficient (r) | p-Value | BIC |
|
|
|||
| Medical school | 0.8 | <0.001 | 4,454 |
| Residency | 0.7 | <0.001 | 4,509 |
| Medical school + residency | 0.8 | <0.001 | 4,451 |
| Medical school + residency + fellowship | 0.9 | <0.001 | 1,432 |
| Rural, % | |||
| Model | Correlation coefficient (r) | p-Value | BIC |
|
|
|||
| Medical school | 0.6 | <0.001 | 1,221 |
| Residency | 0.4 | <0.001 | 1,256 |
| Medical school + residency | 0.6 | <0.001 | 1,226 |
| Medical school + residency + fellowship | 0.5 | <0.001 | 362 |
| Household income | |||
| Model | Correlation coefficient (r) | p-Value | BIC |
|
|
|||
| Medical school | 1.0 | <0.001 | 3,071 |
| Residency | 0.7 | <0.001 | 3,402 |
| Medical school + residency | 1.0 | <0.001 | 3,075 |
| Medical school + residency + fellowship | 1.0 | <0.001 | 995 |
-
BIC, Bayesian information criterion.
However, the optimal model for all five response variables included the addition of fellowship to medical school and residency (ΔBIC>10). The model of fellowship, medical school, and residency omitted otolaryngologists who had not done fellowship training.
Practicing in Appalachia and southeast Ohio was predicted with the same binary variables of medical training (medical school, residency, and fellowship), with the addition of osteopathic education (Table 4).
Modeling the effects of medical training location on the ultimate area of practice for Ohio otolaryngologists, with the addition of osteopathic training as a predictor.
| Appalachia | |||
| Model | Variable | p-Value | BIC |
|
|
|||
| Medical school + DO | Medical | <0.001 | 77 |
| DO | 0.8 | ||
| Residency + DO | Residency | <0.001 | 119 |
| DO | 0.3 | ||
| Medical school + residency + DO | Medical | <0.001 | 81 |
| Residency | 0.4 | ||
| DO | 0.9 | ||
| Medical school + residency + fellowship + DO | Medical | <0.01 | 30 |
| Residency | 0.3 | ||
| Fellowship | 0.2 | ||
| DO | 0.9 | ||
| Southeast Ohio | |||
| Model | Variable | p-Value | BIC |
|
|
|||
| Medical school + DO | Medical | 0.9 | 18 |
| DO | 0.9 | ||
| Residency + DO | Residency | <0.001 | 99 |
| DO | 0.4 | ||
| Medical school+residency + DO | Medical | 0.9 | 22 |
| Residency | 0.9 | ||
| DO | 0.9 | ||
| Medical school+residency + fellowship+ DO | Medical | 1.0 | 15 |
| Residency | 1.0 | ||
| Fellowship | 1.0 | ||
| DO | 1.0 | ||
| Population | |||
| Model | Correlation coefficient (r) | p-Value | BIC |
|
|
|||
| Medical school + DO | 0.8 | <0.001 | 4,450 |
| Residency + DO | 0.7 | <0.001 | 4,508 |
| Medical school + residency + DO | 0.8 | <0.001 | 4,441 |
| Medical school + residency + fellowship + DO | 0.9 | <0.001 | 1,426 |
| Rural, % | |||
| Model | Correlation coefficient (r) | p-Value | BIC |
|
|
|||
| Medical school + DO | 0.6 | <0.001 | 1,217 |
| Residency + DO | 0.5 | <0.001 | 1,248 |
| Medical school + residency + DO | 0.6 | <0.001 | 1,219 |
| Medical school + residency + fellowship + DO | 0.7 | <0.001 | 347 |
| Household income | |||
| Model | Correlation coefficient (r) | p-Value | BIC |
|
|
|||
| Medical school + DO | 1.0 | <0.001 | 3,075 |
| Residency + DO | 0.7 | <0.001 | 3,405 |
| Medical school + residency + DO | 1.0 | <0.001 | 3,079 |
| Medical school + residency + fellowship + DO | 1.0 | <0.001 | 999 |
-
BIC, Bayesian information criterion; DO, doctor of osteopathy.
The addition of DO to the various models did not significantly improve the prediction strength of Appalachia or southeast Ohio (p>0.05). All models predicting percent rural were significantly improved with the addition of DO (ΔBIC>10). Models including medical school and residency to predict the median household income of counties were enhanced with the addition of DO (ΔBIC>2).
Similar to the models without DO, the optimal model for all five response variables included the addition of fellowship to medical school and residency (ΔBIC>10).
Discussion
The goal of this study was to identify factors that impacted what specific locations otolaryngologists practice in, and if GME had any influence. The hypothesized belief, as stated before, is that the more training that otolaryngologists receive within the state of Ohio, the more likely they would be to practice in an underserved portion of the state.
One of the strongest correlations that came from this study was between attending medical school or residency in state and practicing in Ohio. These results show that otolaryngologists will likely practice in the same state as their training. A study supported this finding and discovered that nearly 80 % of participants who completed medical school and GME in Michigan also went on to practice in Michigan [37]. This trend occurred across all specialties, demonstrating that it is a phenomenon that is not unique to Ohio or to otolaryngologists.
The present study did not find this connection to remain true for fellowship. The state of Ohio has numerous fellowship opportunities (more than 20) offered through institutions such as: The Ohio State University Wexner Medical Center, University of Cincinnati, University Hospitals in Cleveland, and the Cleveland Clinic [38], [39], [40], [41]. Among the otolaryngologists who practice in Ohio, approximately 15 % fewer did their fellowship in state when compared to medical school or residency. One possible explanation is that physicians frequently change from their original job after fellowship. Specifically, “physicians who completed training in the last six years stayed in their first jobs for an average of only two years.” [42] This is a unique finding for younger physicians, and several variables have been hypothesized, including the impact of the COVID-19 pandemic as well as a general shift in generational views [42]. There are also other factors that could play a role, including long hours and workloads that are too burdensome [43].
In 2023, there were 493 applicants for 373 available residency positions in otolaryngology, according to the National Resident Matching Program (NRMP) [44]. Among the 373 available residency positions, 371 positions were filled [44]. By increasing awareness of the specialty earlier in the medical school process, more students may be encouraged to pursue otolaryngology, potentially reducing the number of unfilled positions in the future. The federal government offers financial support for GME and has taken measures to address the shortage of physicians in all specialties. However, although some specialties have witnessed considerable growth in the number of residency positions, otolaryngology has not experienced a commensurate increase in comparison to other specialties [10]. As with any field, the number of applicants continues to increase at a disproportionately fast rate, with more applicants than there are residency positions. This puts the pressure, instead, on the number of residency spots, which continues to be the limiting factor in the competitiveness of an otolaryngology residency spot.
Studies have shown that there is a wide-ranging shortage of physicians, which is affecting the care for people of all ages. This shortage tends to have a disproportionate impact on rural areas. Rural areas commonly lack specialists like otolaryngologists [2]. This leads to primary care physicians needing to take up a larger set of responsibilities that frequently go beyond their traditional scope of practice. Previously, higher rates of burnout were believed to correlate with increased demands on rural family physicians, as compared to their metropolitan counterparts. However, one study found that roughly 25 % of rural family physicians experienced burnout, whereas 51.4 % of family physicians practicing in metropolitan areas experienced burnout [45]. Hence, although rural physicians frequently have less help, they report significantly higher rates of job satisfaction. One explanation could be due to feelings of freedom regarding the ability to change careers easier than physicians in city centers, but it does not address the organization or coordination of care. Coordination of care is predicted to worsen in rural settings because of higher patient-physician ratios and large numbers of responsibilities of all kinds [45].
Ohio is a unique state in many ways. Its diverse geographical landscape allows physicians to seamlessly move from a city to a rural setting and continue working with little to no change in their work dynamic. Ohio University Heritage College of Osteopathic Medicine (OU-HCOM) has three campuses across the state of Ohio: Cleveland, Dublin, and Athens. Between these three campuses, OU-HCOM had an enrollment of 1,001 students in 2023 [46]. This made OU-HCOM the largest medical school in the state [46]. Thus, Ohio residents may be more likely to experience care from a DO and to view the DO as an equally prevalent part of the healthcare team.
The mission of the AOA as well as all doctors of osteopathic medicine is to treat the whole patient, employing the belief that the person is equally mind, body, and spirit, and the natural self-healing mechanisms of the body should be guided instead of interrupted. Just as central to that mission is the importance placed on caring for underserved populations in a primary care setting. According to the AOA, 57 % of DOs practice in primary care [47]. Although the number of DOs practicing in primary care decreased in years past, it is still significant enough to make this study two-fold. The physician participants in this study were divided into doctors of allopathic medicine (MD) and DOs. This offers an opportunity to examine whether DOs have a stronger predilection towards rural, underserved areas. The study does not create a binary distribution regarding whether an area is rural. Instead, each county was classified as a certain percentage of rural or urban. As previously stated, studies have shown a clear link between more rural areas and an increase in poor health outcomes with a concomitant decrease in access to care [2].
Our study found that osteopathic physicians were more likely to practice in southeast Ohio, Appalachian Ohio, and in counties with a roughly 15 % higher rate of rural communities, although not all of these were clinically significant. It has long been believed to be true that DO physicians are more likely to practice in a rural setting than their MD counterparts, but that was historically only examined in the primary care setting and then extrapolated. There is reason to believe, though, that these rates could differ for a surgical subspecialty such as otolaryngology due to their differing lifestyle and patient populations. One study showed that osteopathic ophthalmologists from Michigan are much more likely to practice in rural settings than allopathic ophthalmologists [16]. This finding, paired with the results in the present study about otolaryngologists in Ohio, strengthens the understanding that osteopathic physicians, no matter the specialty, hold to their mission statements and tend to practice in more rural settings.
The multivariate logistic regression prediction models looked at the connection between in-state medical education and practicing in southeast or Appalachian Ohio. The connection was significant with medical school and residency alone, but it was the strongest when all three variables (medical school, residency, and fellowship) were combined. This omitted the otolaryngologists who did not complete a fellowship. This is interesting, and it makes sense from a social point of view. If a physician completes his or her medical school, residency, and fellowship all within the same state, then he or she has built a very strong base and is likely to continue to practice in that state. With the DO variable added in, the predictive models for practicing in a rural area (% rural) were increased. Models predicting the population of counties were also enhanced with the addition of DO. This may be due to the osteopathic mission to practice in underserved areas.
Limitations
This study utilized publicly available data from the CMS [28]. The data were useful in displaying the location of medical education, residency, and practice of otolaryngologists in Ohio, but it only gave that story. Information such as reasons for attending a school in a certain location, in addition to whether the physician had family living in or around Ohio, could be noteworthy. This could paint a clearer picture as to why otolaryngologists who go to medical school in Ohio are so inclined to stay in Ohio to practice. A longitudinal study or comprehensive survey could examine this type of information further. Moreover, the CMS database only includes physicians who are registered with Medicare. Although this could be limiting in the sense that not every otolaryngologist is eligible for this study, it does offer a different perspective as opposed to past studies that focused more on physicians within the realm of Medicare and Medicaid.
Conclusions
There exist substantial differences in the overall health and availability of healthcare between differing geographic areas. The otolaryngology subspecialty, in particular, has far fewer physicians practicing in these rural areas, with the majority of physicians practicing in areas of higher socioeconomic status. This study aimed to determine if the location of an otolaryngologist’s training throughout medical school, residency, and fellowship had a predictive value to the geographical area where that same physician will practice after their medical education. It also investigated whether a physician being licensed as an MD or a DO had a significant effect on their future place of practice.
The findings of this study reveal that the location where physicians complete their medical training (medical school, residency, and fellowship) has a significant impact on predicting their future place of practice. This study found that the location of such training has a positive predictive nature as to whether that physician will practice in a rural and underserved area in the future. Notably, the addition of being licensed as a DO also increased the probability of that physician practicing in a rural and underserved area.
Funding source: Osteopathic Heritage Foundation Ralph S. Licklider, D.O. Endowed Professor in Behavioral Diabetes awarded to Dr. Elizabeth A. Beverly
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: None declared.
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Research funding: The current study was funded by Osteopathic Heritage Foundation Ralph S. Licklider, D.O. Endowed Professor in Behavioral Diabetes awarded to Dr. Elizabeth A. Beverly.
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Data availability: The datasets generated and/or analyzed during the current study are available in the Centers for Medicare & Medicaid Services (CMS) and the CDC’s Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) mortality file repository, https://wonder.cdc.gov, https://data.cms.gov/tools/mapping-medicare-disparities-by-population.
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Articles in the same Issue
- Frontmatter
- Cardiopulmonary Medicine
- Clinical Practice
- Improving peripheral artery disease screening and treatment: a screening, diagnosis, and treatment tool for use across multiple care settings
- General
- Brief Report
- Trends of public interest in chronic traumatic encephalopathy (CTE) from 2004 to 2022
- Medical Education
- Original Article
- Effectiveness of a program director for osteopathic medical education to support osteopathic recognition at a training site with multiple programs
- Review Article
- A comprehensive review of clinical experiences and extracurricular activities for US premedical students applying to osteopathic medical schools
- Neuromusculoskeletal Medicine (OMT)
- Review Article
- The role of osteopathic manipulative treatment for dystonia: a literature review
- Public Health and Primary Care
- Original Article
- Modeling the importance of physician training in practice location for Ohio otolaryngologists