Bobbie L. Johannes PhD MPH, Arch G. Mainous III PhD, Alex R. Chang MD MS, H. Lester Kirchner PhD, G. Craig Wood MS, Christopher D. Still DO, Lisa Bailey-Davis DEd RD
{"title":"Association of rurality and decreased continuity of care prior to a diagnosis of prediabetes","authors":"Bobbie L. Johannes PhD MPH, Arch G. Mainous III PhD, Alex R. Chang MD MS, H. Lester Kirchner PhD, G. Craig Wood MS, Christopher D. Still DO, Lisa Bailey-Davis DEd RD","doi":"10.1111/jrh.12907","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To assess trends in continuity of care (COC) by geographic context (i.e., rural vs urban) among a cohort of persons with prediabetes prior to and after diagnosis of prediabetes.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We use cross-sectional data from Geisinger's electronic health record between 1997 and 2017. Our dependent variable is the Modified Modified Continuity Index (MMCI), a measure of dispersion among primary care providers seen. Our primary independent variable is a binary indicator variable for rurality constructed from the 2010 Census Bureau's Urban and Rural Classification. We control for age, sex, race/ethnicity, and baseline clinical characteristics. We use fractional logistic regression with bootstrapped standard errors.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>Urban residing patients had greater odds of increased COC in the 3-year period prior to a diagnosis of prediabetes (aOR = 1.10, 95% CI = 1.03, 1.18; <i>P</i> = .007). However, there were no significant differences in COC among rural and urban residing patients upon diagnosis of prediabetes in unadjusted and fully adjusted regression models. Other factors significantly associated with COC across the observed time periods (pre- and post-diagnosis of prediabetes) include age, male, and hypertension in the patients’ problem list at baseline.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Among persons diagnosed with prediabetes, rurality was associated with decreased COC in the 3-year period prior to being diagnosed. However, in the 3-year period after diagnosis of prediabetes, geographic disparities in COC were not observed. Rural residing patients need enhanced continuity of primary care to potentially improve opportunistic screening for prediabetes.</p>\n </section>\n </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-12-25","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.12907","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}
引用次数: 0
Abstract
Purpose
To assess trends in continuity of care (COC) by geographic context (i.e., rural vs urban) among a cohort of persons with prediabetes prior to and after diagnosis of prediabetes.
Methods
We use cross-sectional data from Geisinger's electronic health record between 1997 and 2017. Our dependent variable is the Modified Modified Continuity Index (MMCI), a measure of dispersion among primary care providers seen. Our primary independent variable is a binary indicator variable for rurality constructed from the 2010 Census Bureau's Urban and Rural Classification. We control for age, sex, race/ethnicity, and baseline clinical characteristics. We use fractional logistic regression with bootstrapped standard errors.
Findings
Urban residing patients had greater odds of increased COC in the 3-year period prior to a diagnosis of prediabetes (aOR = 1.10, 95% CI = 1.03, 1.18; P = .007). However, there were no significant differences in COC among rural and urban residing patients upon diagnosis of prediabetes in unadjusted and fully adjusted regression models. Other factors significantly associated with COC across the observed time periods (pre- and post-diagnosis of prediabetes) include age, male, and hypertension in the patients’ problem list at baseline.
Conclusions
Among persons diagnosed with prediabetes, rurality was associated with decreased COC in the 3-year period prior to being diagnosed. However, in the 3-year period after diagnosis of prediabetes, geographic disparities in COC were not observed. Rural residing patients need enhanced continuity of primary care to potentially improve opportunistic screening for prediabetes.
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.