Distribution of Physician Specialties by Rurality

An Analysis of the Otolaryngology Workforce in Pennsylvania

Objective

This study aims to analyze the distribution of otolaryngologists between urban and rural counties in Pennsylvania.

Study Design

Retrospective database.

Setting

American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) database and Centers for Medicare and Medicaid Services (CMS) Database.

Methods

The AAO-HNS database (Entnet.org) and the CMS Database were used to identify otolaryngologists, their primary location, and their state of training. The 2023 Rural-Urban Continuum Codes were used to classify metropolitan (codes 1-3) and nonmetropolitan counties (codes 4-9) and determine county populations.

Results

A total of 388 otolaryngologists were identified across 67 Pennsylvania counties (33 metropolitan, 34 nonmetropolitan), 80% of which were male. There were 354 otolaryngologists in metropolitan counties serving 11.2 million people, with an average of 2.4 otolaryngologists per 100,000 people (/100 k). The majority of otolaryngologists (n = 235, 60.6%) are located in counties designated by code 1. There were 34 otolaryngologists in nonmetropolitan counties serving 1.8 million people, with an average of 2.4 otolaryngologists/100 k. Montour County (code 6) is home to a large academic center and accounts for 14/34 otolaryngologists in the nonmetropolitan counties. With the exception of Montour County, the remaining nonmetropolitan counties averaged 1.0 otolaryngologist/100 k. Only 3 metropolitan counties did not have otolaryngologists compared to 19 nonmetropolitan counties without otolaryngologists. Most otolaryngologists received their residency training in Pennsylvania (n = 177). New York (n = 35) and Maryland (n = 24) were the second most common states for training.

Conclusion

There is a lack of otolaryngologists in rural counties of Pennsylvania, except in counties home to large academic centers.

Assessing The Relationship Between Demand And Accessibility For Pediatric Ophthalmology Services By State In The United States

Purpose

To investigate the relationship between public demand for pediatric ophthalmology services and the accessibility of such services on a statewide basis in the United States, focusing on strabismus care.

Methods

Using Google Trends data, search volumes for "strabismus" were analyzed from January 2014 to December 2023. Pediatric ophthalmologist availability was assessed via the American Academy of Ophthalmology directory, normalized for state population size to create a relative demand index. Additional metrics from the United States Census Bureau and Centers for Disease Control and Prevention provided socioeconomic and health data. Correlation coefficients were used to explore relationships between search volumes, specialist availability, vision screening, socioeconomics, and demographic factors.

Results

The data revealed variability in public interest in pediatric ophthalmology across states, with Alaska showing the highest relative search volume for strabismus. The data also indicated notable disparities in pediatric ophthalmologist density, with North Dakota, Vermont, and Wyoming having no pediatric ophthalmologists. A significant correlation was identified between pediatric ophthalmologist availability and vision screening (R = 0.486, p < 0.001). Negative correlations were observed between the relative demand index and urbanization (R = -0.388, p = 0.007), as well as the strabismus prevalence (R = -0.455, p = 0.001), indicating that urbanization and specialist distribution influence eyecare demand and access.

Conclusion

The findings highlight disparities in accessibility and demand for pediatric ophthalmology services across the US, influenced by urbanization and distribution of healthcare professionals. The study underscores the need for targeted interventions to improve access to care and bridge gaps in pediatric ophthalmology service provision.

Job satisfaction and turnover of the first group of rural-oriented tuition-waived medical students in Guangxi, China: a mixed-method study

BACKGROUND

In 2010, China launched a rural-oriented tuition-waived medical education (RTME) programme to train more general practitioners (GPs) to meet the needs of the rural health workforce. Motivating and maintaining GPs is an important consideration for the shortage in the rural health workforce. This study aimed to investigate job satisfaction and turnover among the first group of rural-oriented tuition-waived medical students (RTMSs) who had completed a three-year compulsory service in Guangxi, as well as the factors affecting RTMSs turnover.

METHODS

This study adopted a mixed-method approach. A quantitative survey of 129 RTMSs was analysed (81.6% response rate), and qualitative interviews were conducted with 30 stakeholders, including 18 RTMSs, six administrators of the County Health Bureau, and six administrators of township health centers (THCs). A t-test, chi-square test, Fisher's exact test, and logistic regression analysis were used to examine the quantitative data, and thematic analysis was used to analyse the qualitative data.

RESULTS

Among the 129 participants, the turnover rate was high, with 103 RTMSs reporting turnover (79.84%). Interpersonal relationships scored the highest in job satisfaction (3.63 ± 0.64) among RTMSs, while working conditions were rated the lowest (2.61 ± 0.85). Marital status (odds ratio [OR] = 0.236, 95% confidence interval [95%CI] = 0.059-0.953, P = 0.043), only child status (OR = 8.660, 95%CI = 1.714-43.762, P = 0.009), and job return satisfaction (OR = 0.290, 95%CI = 0.090-0.942, P = 0.039) were significantly associated with turnover. Univariate analyses showed that income had a significant influence on turnover, but the relationship gone by multivariable; however it was deemed important in the qualitative study. Qualitative analysis revealed that turnover was influenced by the working atmosphere, effort-reward imbalance, professional competence, and opportunities for training and promotion.

CONCLUSIONS

This study provides insights for the policymakers about the priority areas for retaining GPs in rural locations and provides reference values for the retention of GPs in other regions with a shortage of rural health workers. For RTMSs to continue providing services to rural areas, the government should improve their salaries, balance their income and workload, provide more opportunities for training and career promotion, and managers should recognise their efforts and create an optimistic working atmosphere.

Current status and continuing medical education need for general practitioners in Tibet, China: a cross-sectional study

BACKGROUND

The Tibetan area is one of China's minority regions with a shortage of general practice personnel, which requires further training and staffing. This research helps to understand the current condition and demand for general practitioner (GP) training in Tibetan areas and to provide a reference for promoting GP education and training.

METHODS

We conducted a cross-sectional survey using stratified sampling targeting 854 GPs in seven cities within the Tibetan Autonomous Region, utilizing an online questionnaire. Achieving a high response rate of 95.1%, 812 GPs provided invaluable insights. Our meticulously developed self-designed questionnaire, available in both Chinese and Tibetan versions, aimed to capture a wide array of data encompassing basic demographics, clinical skills, and specific training needs of GPs in the Tibetan areas. Prior to deployment, the questionnaire underwent rigorous development and refinement processes, including expert consultation and pilot testing, to ensure its content validity and reliability. In our analysis, we employed descriptive statistics to present the characteristics and current training needs of GPs in the Tibetan areas. Additionally, chi-square tests were utilized to examine discrepancies in training needs across various demographic groups, such as age, job positions, and educational backgrounds of the participating GPs.

RESULTS

The study was completed by 812 (812/854, 95.1%) GPs, of whom 62.4% (507/812) were female. The top three training needs were hypertension (81.4%, 661/812), pregnancy management (80.7%, 655/812), and treatment of related patient conditions and events (80.5%, 654/812). Further research shows that the training required by GPs of different ages in "puncturing, catheterization, and indwelling gastric tube use" (64.6% vs. 54.8%, p = 9.5 × 10- 6) varies statistically. GPs in various positions have different training needs in "community-based chronic disease prevention and management" (76.6% vs. 63.9%, p = 0.009). The training needs of GPs with different educational backgrounds in "debridement, suturing, and fracture fixation" (65.6% vs. 73.2%, p = 0.027) were also statistically significant.

CONCLUSIONS

This study suggests the need for targeted continuing medical education activities and for updating training topics and content. Course developers must consider the needs of GPs, as well as the age, job positions, and educational backgrounds of GPs practicing in the Tibetan Plateau region.

TRIAL REGISTRATION

Not applicable.

Deep learning from latent spatiotemporal information of the heart: Identifying advanced bioimaging markers from echocardiograms

A key strength of echocardiography lies in its integration of comprehensive spatiotemporal cardiac imaging data in real-time, to aid frontline or bedside patient risk stratification and management. Nonetheless, its acquisition, processing, and interpretation are known to all be subject to heterogeneity from its reliance on manual and subjective human tracings, which challenges workflow and protocol standardization and final interpretation accuracy. In the era of advanced computational power, utilization of machine learning algorithms for big data analytics in echocardiography promises reduction in cost, cognitive errors, and intra- and inter-observer variability. Novel spatiotemporal deep learning (DL) models allow the integration of temporal arm information based on unlabeled pixel echocardiographic data for convolution of an adaptive semantic spatiotemporal calibration to construct personalized 4D heart meshes, assess global and regional cardiac function, detect early valve pathology, and differentiate uncommon cardiovascular disorders. Meanwhile, data visualization on spatiotemporal DL prediction models helps extract latent temporal imaging features to develop advanced imaging biomarkers in early disease stages and advance our understanding of pathophysiology to support the development of personalized prevention or treatment strategies. Since portable echocardiograms have been increasingly used as point-of-care imaging tools to aid rural care delivery, the application of these new spatiotemporal DL techniques show the potentials in streamlining echocardiographic acquisition, processing, and data analysis to improve workflow standardization and efficiencies, and provide risk stratification and decision supporting tools in real-time, to prompt the building of new imaging diagnostic networks to enhance rural healthcare engagement.

Nationwide assessment of practice variability in the utilization of hysteropexy at laparoscopic apical suspension for uterine prolapse

BACKGROUND

Although hysteropexy has been used to preserve the uterus during uterine prolapse surgery for a long time, there is a scarcity of data that describe the nationwide patterns of use of this surgical procedure.

OBJECTIVE

This study aimed to examine the national-level use and characteristics of hysteropexy at the time of laparoscopic apical suspension surgery for uterine prolapse in the United States.

STUDY DESIGN

This cross-sectional study used data from the Healthcare Cost and Utilization Project's Nationwide Ambulatory Surgery Sample. The study population included 55,608 patients with a diagnosis of uterine prolapse who underwent laparoscopic apical suspension surgery from 2016 to 2019. Patients who had a hysterectomy were assigned to the hysterectomy group, and those who did not have a hysterectomy were assigned to the hysteropexy group. The main outcome was clinical characteristics associated with hysteropexy, assessed using a multivariable binary logistic regression model. A classification tree was further constructed to assess the use pattern of hysteropexy during laparoscopic apical suspension procedures. The secondary outcome was surgical morbidity, including urinary tract injury, intestinal injury, vascular injury, and hemorrhage.

RESULTS

A hysteropexy was performed in 6500 (11.7%) patients. In a multivariable analysis, characteristics associated with increased use of a hysteropexy included (1) patient factors, such as older age, Medicare coverage, private insurance, self-pay, and medical comorbidity; (2) pelvic floor dysfunction factor of complete uterine prolapse; and (3) hospital factors, including medium bed capacity center and location in the Southern United States (all P<.05). Conversely, (1) the patient factor of higher household income; (2) gynecologic factors such as uterine myoma, adenomyosis, and benign ovarian pathology; (3) pelvic floor dysfunction factor with stress urinary incontinence; and (4) hospital factors including Midwest and West United States regions and rural setting center were associated with decreased use of a hysteropexy (all P<.05). A classification tree identified a total of 14 use patterns for hysteropexies during laparoscopic apical suspension procedures. The strongest factor that dictated the use of a hysteropexy was the presence or absence of uterine myomas; the rate of hysteropexy use was decreased to 5.6% if myomas were present in comparison with 15% if there were no myomas (P<.001). Second layer factors were adenomyosis and hospital region. Patients who did not have uterine myomas or adenomyosis and who underwent surgery in the Southern United States had the highest rate of undergoing a hysteropexy (22.6%). Across the 14 use patterns, the percentage rate difference between the highest and lowest uptake patterns was 22.0%. Patients who underwent a hysteropexy were less likely to undergo anteroposterior colporrhaphy, posterior colporrhaphy, and sling procedures (all P<.05). Hysteropexy was associated with a decreased risk for measured surgical morbidity (3.0 vs 5.4 per 1000 procedures; adjusted odds ratio, 0.57; 95% confidence interval, 0.36-0.90).

CONCLUSION

The results of these current, real-world practice data suggest that hysteropexies are being performed at the time of ambulatory laparoscopic apical suspension surgery for uterine prolapse. There is substantial variability in the application of hysteropexy based on patient, gynecologic, pelvic floor dysfunction, and hospital factors. Developing clinical practice guidelines to address this emerging surgical practice may be of use.

Disparities in Video-Based Primary Care Use Among Veterans with Cardiovascular Disease

BACKGROUND

Cardiovascular disease (CVD) is prevalent among Veterans, and video care enhances access to CVD care. However, it is unknown which patients with CVD conditions receive video care in primary care clinics, where a large proportion of CVD services is delivered.

OBJECTIVE

Characterize use of VA video primary care for Veterans with two common CVDs, heart failure and hypertension.

DESIGN

Retrospective cohort study.

PATIENTS

Veterans seen in VA primary care with diagnoses of heart failure and/or hypertension in the year prior to the COVID-19 pandemic and for the first two pandemic-years.

MAIN MEASURES

The primary outcome was use of any video-based primary care visits. Using multilevel regressions, we examined the association between video care use and patient sociodemographic and clinical characteristics, controlling for time and adjusting for patient- and site-level clustering.

KEY RESULTS

Of 3.8M Veterans with 51.9M primary care visits, 456,901 Veterans had heart failure and hypertension, 50,753 had heart failure only, and 3,300,166 had hypertension only. Veterans with heart failure and hypertension had an average age of 71.6 years. 2.9% were female, and 34.8% lived in rural settings. Patients who were male, aged 75 or older, or rural-dwelling had lower odds of using video care than female patients, 18-44-year-olds, and urban-dwellers, respectively (male patients' adjusted odds ratio [AOR] 0.73, 95% confidence interval [CI] 0.72-0.74; 75 years or older, AOR 0.38, 95% CI 0.37-0.38; rural-dwellers, AOR 0.71, 95% CI 0.70-0.71). Veterans with heart failure had higher odds of video care use than those with hypertension only (AOR 1.05, 95% CI 1.04-1.06).

CONCLUSIONS

Given lower odds of video primary care use among some patient groups, continued expansion of video care could make CVD services increasingly inequitable. These insights can inform equitable triage of patients, for example by identifying patients who may benefit from additional support to use virtual care.

Disparities in Ultrasound Use for Diagnosing Pediatric Appendicitis Across United States Emergency Departments

INTRODUCTION

An ultrasound (US)-first approach for evaluating appendicitis is recommended by the American College of Radiology. We sought to assess the access to and utilization of an US-first approach for children with acute appendicitis in United States Emergency Departments.

METHODS

Utilizing the 2019 Nationwide Emergency Department Sample, we performed a retrospective cohort study of patients <18 y with a primary diagnosis of acute appendicitis based on International Classification of Disease 10th Edition Diagnosis codes. Our primary outcome was the presentation to a hospital that does not perform US for children with acute appendicitis. Our secondary outcome was the receipt of a US at US-capable hospital. We developed generalized linear models with inverse-probability weighting to determine the association between patient characteristics and outcomes.

RESULTS

Of 49,703 total children, 24,102 (48%) received a US evaluation. The odds of presenting at a hospital with no US use were significantly higher for patients aged 11-17 compared to patients <6 y (adjusted odds ratio [aOR] [95% confidence interval (CI)]: 1.59, [1.19- 2.13], P = 0.002); lowest median household income quartile compared to highest (aOR [95% CI]: 2.50, [1.52-4.10], P < 0.001); rural locations compared to metropolitan (aOR [95% CI]: 8.36 [5.54-12.6], P < 0.001), and Hispanic compared to non-Hispanic White (aOR [95% CI]: 0.63 [0.45-0.90], P = 0.01). The odds of receiving a US at US-capable hospitals were significantly lower for patients >6 y, lowest median household income quartiles, and rural locations (P < 0.05).

CONCLUSIONS

Rural, older, and poorer children are more likely to present to hospitals that do not utilize US in the diagnosis of acute appendicitis and are less likely to undergo US at US-capable hospitals.

Primary Care Providers' Experiences Treating Opioid Use Disorder Using Telehealth in the Height of the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic catalyzed a rapid shift in healthcare delivery towards telehealth services, impacting patient care, including opioid use disorder (OUD) treatment. Regulatory changes eliminated the in-person evaluation requirement for buprenorphine treatment, encouraging adoption of telehealth. This study focused on understanding experiences of primary care providers in predominantly rural areas who used telehealth for OUD treatment during the pandemic.

METHODS

Semi-structured interviews were conducted with 22 primary care providers. Participants practiced in 13 rural and 9 urban counties in Kentucky and Arkansas. Data were analyzed using conventional content analysis.

RESULTS

The pandemic significantly impacted healthcare delivery. While telehealth was integrated for behavioral health counseling, in-person visits remained crucial, especially for urine drug screenings. Telehealth experiences varied, with some facing technology issues, while others found it efficient. Telehealth proved valuable for behavioral health counseling and sustaining relationships with established patients. Patients with OUD faced unique challenges, including housing, internet, transportation, and counseling needs. Stigma surrounding OUD affected clinical relationships. Building strong patient-provider relationships emerged as a central theme, emphasizing the value of face-to-face interactions. Regarding buprenorphine training, most found waiver training helpful but lacked formal education.

CONCLUSION

This research offers vital guidance for improving OUD treatment services, especially in rural areas during crises like the COVID-19 pandemic. It highlights telehealth's value as a tool while acknowledging its limitations. The study underscores the significance of strong patient-provider relationships, the importance of reducing stigma, and the potential for training programs to elevate quality of care in OUD treatment.

Health Equity and Antibiotic Prescribing in the United States: A Systematic Scoping Review

We performed a scoping review of articles published from 1 January 2000 to 4 January 2022 to characterize inequities in antibiotic prescribing and use across healthcare settings in the United States to inform antibiotic stewardship interventions and research. We included 34 observational studies, 21 cross-sectional survey studies, 4 intervention studies, and 2 systematic reviews. Most studies (55 of 61 [90%]) described the outpatient setting, 3 articles were from dentistry, 2 were from long-term care, and 1 was from acute care. Differences in antibiotic prescribing were found by patient's race and ethnicity, sex, age, socioeconomic factors, geography, clinician's age and specialty, and healthcare setting, with an emphasis on outpatient settings. Few studies assessed stewardship interventions. Clinicians, antibiotic stewardship experts, and health systems should be aware that prescribing behavior varies according to both clinician- and patient-level markers. Prescribing differences likely represent structural inequities; however, no studies reported underlying drivers of inequities in antibiotic prescribing.

Integrating Neuroimaging Measures in Nursing Research

BACKGROUND

Medical and scientific advancement worldwide has led to a longer lifespan. With the population aging comes the risk of developing cognitive decline. The incorporation of neuroimaging measures in evaluating cognitive changes is limited in nursing research. The aim of this review is to introduce nurse scientists to neuroimaging measures employed to assess the association between brain and cognitive changes.

METHODS

Relevant literature was identified by searching CINAHL, Web of Science, and PubMed databases using the following keywords: "neuroimaging measures," "aging," "cognition," "qualitative scoring," "cognitive ability," "molecular," "structural," and "functional."

RESULTS

Neuroimaging measures can be categorized into structural, functional, and molecular imaging approaches. The structural imaging technique visualizes the anatomical regions of the brain. Visual examination and volumetric segmentation of select structural sequences extract information such as white matter hyperintensities and cerebral atrophy. Functional imaging techniques evaluate brain regions and underlying processes using blood-oxygen-dependent signals. Molecular imaging technique is the real-time visualization of biological processes at the cellular and molecular levels in a given region. Examples of biological measures associated with neurodegeneration include decreased glutamine level, elevated total choline, and elevated Myo-inositol.

DISCUSSION

Nursing is at the forefront of addressing upstream factors impacting health outcomes across a lifespan of a population at increased risk of progressive cognitive decline. Nurse researchers can become more facile in using these measures both in qualitative and quantitative methodology by leveraging previously gathered neuroimaging clinical data for research purposes to better characterize the associations between symptom progression, disease risk, and health outcomes.

Building medication for opioid use disorder prescriber capacity during the opioid epidemic: Prescriber recruitment trends and methods

INTRODUCTION

Physicians are a critical clinical resource for patient care. Yet physician recruitment has been considerably understudied, particularly in substance use disorder (SUD) settings. This study proposes a conceptual model called the "Physician Recruitment Descriptive Factors Framework" to investigate the role of environmental, organizational, and individual factors in the use of physician recruitment strategies.

METHODS

The study setting was 75 sites that provided outpatient SUD treatment services in Florida, Ohio, and Wisconsin from 2016 to 2019. Central to the analysis is the use of five targeted physician recruitment strategies. The study investigated whether financial conditions, location (urban v. non-urban), external implementation coaching, and recruiters' roles influenced use of the targeted physician recruitment strategies.

RESULTS

During the study period, a formal plan to recruit physicians was the most common strategy used (n = 67.6 %). The director or chief executive officer (CEO) was most likely to conduct physician recruitment (n = 58.7 %). During the study, use of four of the five recruitment strategies significantly declined (at p ≤ 0.01), while the perceived need for new prescribing capacity significantly declined (p ≤ 0.01), and prescribers per site increased from 1.54 to 3.21. Sixty-four percent of this increase in prescribers was due to more physician prescribers, while 36 % was due to the onset of the ability of advanced nurse practitioners and physician assistants to prescribe buprenorphine. In year 3 of the study, the strategies most closely aligned with the current number of prescribers were conducting weekly outreach to prescriber candidates (p = .018), having a dedicated prescriber recruiter (p = .011), and having a dedicated budget for prescriber recruiting (p = .002).

CONCLUSIONS

The study describes which physician recruitment strategies SUD treatment sites used and how the need to recruit physicians for specialty treatment SUD clinics declined as prescriber capacity increased. The proposed multi-level framework provides the scaffolding for future physician recruitment research and practice.

A supportive text message intervention for individuals living with endometriosis (EndoSMS): Randomized controlled pilot and feasibility trial

Introduction

As a high symptom burden chronic condition, endometriosis is associated with diminished quality of life (QoL) and psychological distress. The EndoSMS text message intervention was developed to inform and support individuals living with endometriosis. The primary aim of this study is to assess the acceptability, feasibility and preliminary efficacy of EndoSMS, to improve endometriosis-specific QoL and reduce psychological distress in a randomised controlled trial, compared with care as usual. We will additionally assess the impact of EndoSMS on self-efficacy for managing endometriosis.

Methodology

A two-arm parallel pilot randomised controlled trial with waitlist control was conducted. Baseline assessments included QoL, psychological distress, self-efficacy, demographic and medical variables. Following baseline survey completion, participants were randomised to either the Intervention (EndoSMS: 3-months of text messaging) or Control condition. At 3-month follow-up, all participants completed an online survey reassessing outcomes, and Intervention participants provided quantitative and qualitative user feedback on EndoSMS.

Results

Data collection commenced on 18 November 2021 and was completed on 30 March 2022. Descriptive statistics will be used to analyse feasibility and acceptability of the intervention. Preliminary efficacy analyses will be conducted using linear mixed models for QoL, psychological distress and self-efficacy outcomes. Subgroup analyses will also be conducted for typically underserved populations (e.g., rural/regional).

Conclusion

This pilot will provide acceptability, feasibility and preliminary efficacy evidence for the impact of a supportive text messaging program for endometriosis. It will contribute to understanding how to optimally support individuals in living with and managing their endometriosis.

Trial Registration

Australian New Zealand Clinical Trials Registry.

Rural-Urban Disparities in Receipt of Surgery for Potentially Resectable Non-Small Cell Lung Cancer

INTRODUCTION

Access to cancer care, especially surgery, is limited in rural areas. However, the specific reasons rural patient populations do not receive surgery for non-small cell lung cancer (NSCLC) is unknown. We investigated geographic disparities in reasons for failure to receive guideline-indicated surgical treatment for patients with potentially resectable NSCLC.

METHODS

The National Cancer Database was used to identify patients with clinical stage I-IIIA (N0-N1) NSCLC between 2004 and 2018. Patients from rural areas were compared to urban areas, and the reason for nonreceipt of surgery was evaluated. Adjusted odds of (1) primary nonsurgical management, (2) surgery being deemed contraindicated due to risk, (3) surgery being recommended but not performed, and (4) overall failure to receive surgery were determined.

RESULTS

The study included 324,785 patients with NSCLC with 42,361 (13.0%) from rural areas. Overall, 62.4% of patients from urban areas and 58.8% of patients from rural areas underwent surgery (P < 0.001). Patients from rural areas had increased odds of (1) being recommended primary nonsurgical management (adjusted odds ratio [aOR]: 1.14, 95% confidence interval [CI]: 1.05-1.23), (2) surgery being deemed contraindicated due to risk (aOR: 1.19, 95% CI: 1.07-1.33), (3) surgery being recommended but not performed (aOR: 1.13, 95% CI: 1.01-1.26), and (4) overall failure to receive surgery (aOR: 1.21, 95% CI: 1.13-1.29; all P < 0.001).

CONCLUSIONS

There are geographic disparities in the management of NSCLC. Rural patient populations are more likely to fail to undergo surgery for potentially resectable disease for every reason examined.

Geospatial evaluation of disparities in neurosurgical access in the United States

When neurosurgical care is needed, the distance to a facility staffed with a neurosurgeon is critical. This work utilizes geospatial analysis to analyze access to neurosurgery in the Medicare population and relevant socioeconomic factors. Medicare billing and demographic data from 2015 to 2019 were combined with national National Provider Identifier (NPI) registry data to identify the average travel distance to reach a neurosurgeon as well as the number of neurosurgeons in each county. This was merged with U.S. Census data to capture 23 socioeconomic attributes. Moran's I statistic was calculated across counties. Socioeconomic variables were compared using ANOVA. Hotspots with the highest neurosurgeon access were predominantly located in the Mid-Atlantic region, central Texas, and southern Montana. Coldspots were found in the Great Plains, Midwest, and Southern Texas. There were statistically significant differences (p < 0.05) between high- and low-access counties, including: stroke prevalence, poverty, median household income, and total population density. There were no statistically significant differences in most races or ethnicities. Overall, there exist statistically significant clusters of decreased neurosurgery access within the United States, with varying sociodemographic characteristics between access hotspots and coldspots.

Results of Lung Cancer Screening in a Rural Setting: A Retrospective Cohort Study

Background

In this study, we aimed to determine the performance of the lung cancer screening (LCS) program using low-dose computed tomography (LDCT) in a rural community.

Methodology

We conducted a retrospective cohort study of patients who underwent LCS at a rural healthcare institution from September 1, 2016, through December 31, 2019, to determine the utilization of screening, rate of positivity, rate of cancer detection, and patient compliance.

Results

A total of 1,474 patients underwent initial LCS, and 1,776 LCS examinations were performed using LDCT. Of 1,776 tests performed, 375 (21.1%) were categorized as positive (Lung CT Screening Reporting and Data System III or higher), with 215 of the 375 (57.6%) being lost to follow-up. A total of 29 malignancies were identified (in 1.6% of all LCS tests) during the study period, with 23 (82.8%) malignancies being low-stage malignancies (stage I or II), 24 (79.3%) malignancies potentially surgical candidates (stage IIIA or less), and five (17.2%) malignancies being non-surgical candidates based on stage (stage IIIB or IV). A total of 28.7% of all patients eligible for repeat screening had at least one repeat annual test. Overall, 9.9% of all patients eligible for two repeat annual tests had a second repeat annual test.

Conclusions

LCS using LDCT is effective in detecting lung cancer in a rural setting. However, compliance with repeat annual screening and recommendations for further workup is low. This may be exacerbated by healthcare and socioeconomic issues prevalent in rural communities. The use of LCS patient coordinators and dedicated tracking software may improve compliance with repeat annual screening and compliance with recommendations when LCS tests are positive.

Distribution and Location Stability of the Australian Ophthalmology Workforce: 2014-2019

OBJECTIVE

To investigate the ophthalmology workforce distribution and location stability using Modified Monash Model category of remoteness.

METHODS

Whole of ophthalmologist workforce analysis using Australian Health Practitioner Registration Agency (AHPRA) data. Modified Monash Model (MMM) category was mapped to postcode of primary work location over a six-year period (2014 to 2019). MMM stability was investigated using survival analysis and competing risks regression.

DESIGN

Retrospective cohort study.

SETTING

Australia.

PARTICIPANTS

Ophthalmologists registered with AHPRA.

MAIN OUTCOME MEASURES

Retention within MMM category of primary work location.

RESULTS

A total of 948 ophthalmologists were identified (767 males, 181 females). Survival estimates indicate 84% of ophthalmologists remained working in MMM1, while 79% of ophthalmologists working in MMM2-MMM7remained in these regions during the six-year period.

CONCLUSION

The Australian ophthalmology workforce shows a high level of location stability and is concentrated in metropolitan areas of Australia. Investment in policy initiatives designed to train, recruit and retain ophthalmologists in regional, rural and remote areas is needed to improve workforce distribution outside of metropolitan areas.

Assessing Primary Care Contributions to Behavioral Health: A Cross-sectional Study Using Medical Expenditure Panel Survey

Objectives

To assess primary care contributions to behavioral health in addressing unmet mental healthcare needs due to the COVID-19 pandemic.

Methods

Secondary data analysis of 2016 to 2018 Medical Expenditure Panel Survey of non-institutionalized US adults. We performed bivariate analysis to estimate the number and percentage of office-based visits and prescription medications for depression and anxiety disorders, any mental illness (AMI), and severe mental illness (AMI) by physician specialty (primary care, psychiatry, and subspecialty) and medical complexity. We ran summary statistics to compare the differences in sociodemographic factors between patients with AMI by seeing a primary care physician versus those seeing a psychiatrist. Binary logistic regression models were estimated to examine the likelihood of having a primary care visit versus psychiatrist visit for a given mental illness.

Results

There were 394 023 office-based visits in the analysis sample. AMI patients seeing primary care physician were thrice as likely to report 1 or more chronic conditions compared to those seeing psychiatrist. Among patients with a diagnosis of depression or anxiety and AMI the proportion of primary care visits ([38% vs 32%, P < .001], [39% vs 34%, P < .001] respectively), and prescriptions ([50% vs 40%, P < .001], [47% vs 44%, P < .05] respectively) were higher compared to those for psychiatric care. Patients diagnosed with SMI had a more significant percentage of prescriptions and visits to a psychiatrist than primary care physicians.

Conclusion

Primary care physicians provided most of the care for depression, anxiety, and AMI. Almost a third of the care for SMI and a quarter of the SMI prescriptions occurred in primary care settings. Our study underscores the importance of supporting access to primary care given primary care physicians’ critical role in combating the COVID-19 related rise in mental health burden.

Racial and Ethnic Diversity of Family Physicians Delivering Maternity Care

BACKGROUND

Maternal and birth outcomes represent some of the most profound racial and ethnic disparities in health in the USA, and are, in part, attributed to a lack of diversity in the maternity care workforce. Family physicians are an often-overlooked part of the maternity care workforce, yet frequently provide care to underserved populations. This study aims to characterize the family physician workforce providing obstetric care in terms of race/ethnicity.

METHODS

In this cross-sectional study, we used data collected via the American Board of Family Medicine Exam Registration Questionnaire from 2017 to 2019. Respondents included family physicians seeking to continue their certification in those years. We conducted bivariate tests and an adjusted analysis using logistic regression to examine associations with providing obstetric deliveries. Variables included race, ethnicity, age, gender, degree type, international medical graduate status, practice site, and rurality.

RESULTS

Of 20,820 family physicians in our sample, those identifying as Black/African American (OR 0.55, CI 0.41 to 0.74) and Asian (OR 0.40, CI 0.31 to 0.51) had significantly lower odds of including obstetrics in their practice than those identifying as White. We found no significant difference in practicing obstetrics between Hispanic and non-Hispanic family physicians (OR 0.94, CI 0.73 to 1.20). Asian (OR 0.40, CI 0.31 to 0.51) and Black/African American (OR 0.55, CI 0.41 to 0.74) physicians still have significantly lower odds of providing obstetric care than White physicians after controlling for rurality.

CONCLUSIONS

Family physicians who identified as Black/African American or Asian are less likely to include obstetrics in their practice. A diverse and racially/ethnically representative maternity care workforce, including family physicians, may help to ameliorate disparities in maternal and birth outcomes. Enhanced efforts to diversify the family physician maternity care workforce should be implemented.

Racial/Ethnic Heterogeneity and Rural-Urban Disparity of COVID-19 Case Fatality Ratio in the USA: a Negative Binomial and GIS-Based Analysis

The 2019 coronavirus disease (COVID-19) has exacerbated inequality in the United States of America (USA). Black, indigenous, and people of color (BIPOC) are disproportionately affected by the pandemic. This study examines determinants of COVID-19 case fatality ratio (CFR) based on publicly sourced data from January 1 to December 18, 2020, and sociodemographic and rural-urban continuum data from the US Census Bureau. Nonspatial negative binomial Poisson regression and geographically weighted Poisson regression were applied to estimate the global and local relationships between the CFR and predictors—rural-urban continuum, political inclination, and race/ethnicity in 2407 rural counties. The mean COVID-19 CFR among rural counties was 1.79 (standard deviation (SD) = 1.07; 95% CI 1.73-1.84) higher than the total US counties (M = 1.69, SD = 1.18; 95% CI: 1.65-1.73). Based on the global NB model, CFR was positively associated with counties classified as “completely rural” (incidence rate ratio (IRR) = 1.24; 95% CI: 1.12-1.39) and “mostly rural” (IRR = 1.26; 95% CI: 1.15-1.38) relative to “mostly urban” counties. Nonspatial regression indicates that COVID-19 CFR increases by a factor of 8.62, 5.87, 2.61, and 1.36 for one unit increase in county-level percent Blacks, Hispanics, American Indians, and Asian/Pacific Islanders, respectively. Local spatial regression shows CFR was significantly higher in rural counties with a higher share of BIPOC in the Northeast and Midwest regions, and political inclination predicted COVID-19 CFR in rural counties in the Midwest region. In conclusion, spatial and racial/ethnic disparities exist for COVID-19 CFR across the US rural counties, and findings from this study have implications for public health.