Ryan J. Crowley MPhil, Jag S. Lally MPhil, David M. Kline PhD, Amanda M. Bunting PhD
{"title":"美国医生年龄的城乡差异","authors":"Ryan J. Crowley MPhil, Jag S. Lally MPhil, David M. Kline PhD, Amanda M. Bunting PhD","doi":"10.1111/jrh.70054","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To assess county-level and specialty-level age differences between urban and rural physicians.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We linked the 2008–2021 Medicare Data on Provider Practice and Specialty (MD-PPAS) dataset with the 2024 Doctors and Clinicians national downloadable file. We assessed specialty-level differences in the age of rural versus urban physicians using Rural–Urban Continuum Codes (RUCC) with four groups: urban (RUCC 1–3), large rural (RUCC 4–5), small rural (RUCC 6–7), and isolated rural (RUCC 8–9). We analyzed the relationship between rurality and physician age using choropleth graphs, spatial clustering, and univariable regression.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>Our final cohort comprised 571,886 physicians. The mean ages of physicians were higher in rural counties (large rural: 53.1 years; small rural: 53.3 years; isolated rural: 53.5 years) than urban counties (52.5 years; <i>p</i> value <0.001). Some specialties including medical oncology, palliative care, and thoracic surgery showed particularly large age differences with older physicians in more rural areas. There were clusters of older physicians in the South and clusters of younger physicians in the Mountain West and Midwest. Rurality was strongly associated with clusters of older physicians (odds ratio [OR]: 3.8; 95% confidence interval [CI], 2.6–5.5), and the percentage of households with broadband internet subscription was strongly associated with clusters of younger physicians (OR: 2.6; 95% CI, 2.2–3.0).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Rural physicians were older than urban physicians with certain specialties and regions demonstrating large age disparities. The aging of rural physicians could worsen existing urban–rural health care disparities. Initiatives focusing on recruiting and retaining rural physicians should target specific regions and specialties to ameliorate these inequities.</p>\n </section>\n </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 3","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban–rural differences in the age of US physicians\",\"authors\":\"Ryan J. Crowley MPhil, Jag S. Lally MPhil, David M. Kline PhD, Amanda M. Bunting PhD\",\"doi\":\"10.1111/jrh.70054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>To assess county-level and specialty-level age differences between urban and rural physicians.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We linked the 2008–2021 Medicare Data on Provider Practice and Specialty (MD-PPAS) dataset with the 2024 Doctors and Clinicians national downloadable file. We assessed specialty-level differences in the age of rural versus urban physicians using Rural–Urban Continuum Codes (RUCC) with four groups: urban (RUCC 1–3), large rural (RUCC 4–5), small rural (RUCC 6–7), and isolated rural (RUCC 8–9). We analyzed the relationship between rurality and physician age using choropleth graphs, spatial clustering, and univariable regression.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>Our final cohort comprised 571,886 physicians. The mean ages of physicians were higher in rural counties (large rural: 53.1 years; small rural: 53.3 years; isolated rural: 53.5 years) than urban counties (52.5 years; <i>p</i> value <0.001). Some specialties including medical oncology, palliative care, and thoracic surgery showed particularly large age differences with older physicians in more rural areas. There were clusters of older physicians in the South and clusters of younger physicians in the Mountain West and Midwest. Rurality was strongly associated with clusters of older physicians (odds ratio [OR]: 3.8; 95% confidence interval [CI], 2.6–5.5), and the percentage of households with broadband internet subscription was strongly associated with clusters of younger physicians (OR: 2.6; 95% CI, 2.2–3.0).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Rural physicians were older than urban physicians with certain specialties and regions demonstrating large age disparities. The aging of rural physicians could worsen existing urban–rural health care disparities. Initiatives focusing on recruiting and retaining rural physicians should target specific regions and specialties to ameliorate these inequities.</p>\\n </section>\\n </div>\",\"PeriodicalId\":50060,\"journal\":{\"name\":\"Journal of Rural Health\",\"volume\":\"41 3\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Rural Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jrh.70054\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Rural Health","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jrh.70054","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Urban–rural differences in the age of US physicians
Purpose
To assess county-level and specialty-level age differences between urban and rural physicians.
Methods
We linked the 2008–2021 Medicare Data on Provider Practice and Specialty (MD-PPAS) dataset with the 2024 Doctors and Clinicians national downloadable file. We assessed specialty-level differences in the age of rural versus urban physicians using Rural–Urban Continuum Codes (RUCC) with four groups: urban (RUCC 1–3), large rural (RUCC 4–5), small rural (RUCC 6–7), and isolated rural (RUCC 8–9). We analyzed the relationship between rurality and physician age using choropleth graphs, spatial clustering, and univariable regression.
Findings
Our final cohort comprised 571,886 physicians. The mean ages of physicians were higher in rural counties (large rural: 53.1 years; small rural: 53.3 years; isolated rural: 53.5 years) than urban counties (52.5 years; p value <0.001). Some specialties including medical oncology, palliative care, and thoracic surgery showed particularly large age differences with older physicians in more rural areas. There were clusters of older physicians in the South and clusters of younger physicians in the Mountain West and Midwest. Rurality was strongly associated with clusters of older physicians (odds ratio [OR]: 3.8; 95% confidence interval [CI], 2.6–5.5), and the percentage of households with broadband internet subscription was strongly associated with clusters of younger physicians (OR: 2.6; 95% CI, 2.2–3.0).
Conclusions
Rural physicians were older than urban physicians with certain specialties and regions demonstrating large age disparities. The aging of rural physicians could worsen existing urban–rural health care disparities. Initiatives focusing on recruiting and retaining rural physicians should target specific regions and specialties to ameliorate these inequities.
期刊介绍:
The Journal of Rural Health, a quarterly journal published by the NRHA, offers a variety of original research relevant and important to rural health. Some examples include evaluations, case studies, and analyses related to health status and behavior, as well as to health work force, policy and access issues. Quantitative, qualitative and mixed methods studies are welcome. Highest priority is given to manuscripts that reflect scholarly quality, demonstrate methodological rigor, and emphasize practical implications. The journal also publishes articles with an international rural health perspective, commentaries, book reviews and letters.