Journal of Rural Health最新文献

{"title":"Leveraging Cooperative Extension Services as a population health approach to reduce health disparities.","authors":"Heather Norman-Burgdolf, Makenzie Barr, Mary E Lacy, Brittany L Smalls","doi":"10.1111/jrh.12853","DOIUrl":"https://doi.org/10.1111/jrh.12853","url":null,"abstract":"","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141262919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Racial and gender differences in relapse potential and treatment acceptance among rural residents in a substance use disorder treatment program","authors":"Serge R. Wandji PhD, MBA, RN, NEA-BC, CNL,&nbsp;Abbas S. Tavakoli DrPH, MPH,&nbsp;Jean E. Davis PhD, RN, FAAN,&nbsp;Robert Pope PhD, RN,&nbsp;Demetrius A. Abshire PhD, RN","doi":"10.1111/jrh.12849","DOIUrl":"10.1111/jrh.12849","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To examine racial and gender differences in treatment acceptance and relapse potential among rural residents admitted to a substance use disorder (SUD) treatment program.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional study using data collected from a sample of 1850 rural residents admitted to a South Carolina state-run SUD treatment center between the years of 2018 and 2020. Chi-square and <i>t</i>-tests were used to compare treatment acceptance and relapse potential by race and gender. Multivariate logistic regression analyses was conducted to further examine the relationship of race and gender with treatment acceptance and relapse potential after adjusting for potential confounding variables.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Approximately 50% of participants were classified as being accepting of their treatment and committed to changing their substance use, and there were no racial or gender differences in the bivariate and multivariate analyses. Approximately 25% of participants were classified as having low/no potential risk for relapsing, and there were no racial or gender differences in the bivariate analysis. However, the adjusted odds ratio of relapsing risk were lower among White compared to Black adults [AOR = 0.49 with 95% CI (0.31–0.77)].</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study suggests there are no gender or racial differences in treatment acceptance for SUD but that Black adults are at greater risk of relapsing relative to White adults. Additional research is needed to identify factors that increase Black adults’ risk for relapse to inform interventions that can improve SUD treatment outcomes in this population.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship of health activation with risk of future cardiovascular disease among rural family caregivers of patients with chronic illnesses","authors":"Chin-Yen Lin PhD, RN,&nbsp;Misook L. Chung PhD, RN,&nbsp;Jia-Rong Wu PhD, RN,&nbsp;Jennifer L. Smith PhD, RN,&nbsp;Abigail Latimer PhD,&nbsp;JungHee Kang PhD, MPH, RN,&nbsp;Jessica H. Thompson PhD, RN,&nbsp;Mary Kay Rayens PhD,&nbsp;Frances J. Feltner DNP, RN,&nbsp;Martha J. Biddle PhD, APRN,&nbsp;Terry A. Lennie PhD, RN,&nbsp;Debra K. Moser PhD, RN","doi":"10.1111/jrh.12850","DOIUrl":"10.1111/jrh.12850","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Family caregivers are at higher risk for developing cardiovascular disease (CVD) than non-caregivers. This risk is worse for those who live in rural compared to urban areas. Health activation, an indicator of engagement in self-care, is predictive of health outcomes and CVD risk in several populations. However, it is not known whether health activation is associated with CVD risk in rural caregivers of patients with chronic illnesses nor is it clear whether sex moderates any association.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Our aims were to determine (1) whether health activation independently predicts 10-year CVD risk; and (2) whether sex interacts with health activation in the prediction of 10-year CVD risk among rural family caregivers (<i>N </i>= 247) of patients with chronic illnesses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Health activation was measured using the Patient Activation Measure. The predicted 10-year risk of CVD was assessed using the Framingham Risk Score. Data were analyzed using nonlinear regression analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Higher levels of health activation were significantly associated with decreased risk of developing CVD (<i>p </i>&lt; 0.028). There was no interaction of sex with health activation on future CVD risk. However, male caregivers had greater risk of developing CVD in the next 10 years than female caregivers (<i>p </i>&lt; 0.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>We demonstrated the importance of health activation to future CVD risk in rural family caregivers of patients with chronic illnesses. We also demonstrated that despite the higher risk of future CVD among male, the degree of association between health activation and CVD risk did not differ by sex.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141162929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Family physicians provide maternity care in and around the maternity care shortage areas, particularly rural","authors":"Grace Walter MD,&nbsp;Anuradha Jetty MPH,&nbsp;Michael Topmiller PhD,&nbsp;Alison Huffstetler MD","doi":"10.1111/jrh.12848","DOIUrl":"10.1111/jrh.12848","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>This study examined demographic, practice, and area-level characteristics associated with family physicians’ (FP) provision of maternity care.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using the American Board of Family Medicine Certification examination application survey data, we investigated the relationship between FPs’ maternity care service provision and (1) demographic (gender, years in practice, race/ethnicity), (2) practice characteristics (size, ownership, rurality), and (3) county-level factors (percentage of reproductive-age women, the number of obstetrician–gynecologists (OBGYNs) and certified nurse midwives (CNMs) per 100,000 reproductive-age women). We performed summary statistics and multivariate logistic regression analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of the 59,903 FPs in the sample, 7.5% provided maternity care. FPs practicing in rural were 2.5 times more likely to provide maternity care than those practicing in urban areas. FPs in academic (odds ratio [OR] 4.6, 95% confidence interval [CI] 4.1–5.1) and safety-net settings (OR 1.9, 1.7–2.1) had greater odds of providing maternity care. FPs in the bottom quintile with no or fewer OBGYNs and CNMs had a higher likelihood of maternity care provision (OR 2.1, 1.8–2.3) than those in the top quintile, with more OBGYNs and CNMs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>FPs in high-needs areas, such as rural and safety net settings, and areas with fewer CNMs or OBGYNs are more likely to provide maternity care, demonstrating the importance of FPs in meeting the needs of women with limited maternity care access. Our study findings highlight the importance of considering the contributions of FPs to maternity care as the organizations prioritize resource allocation to areas of highest need.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141159048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rural comprehensive cancer care: Qualitative analysis of current challenges and opportunities","authors":"Sydney Evans MPH,&nbsp;Aaron T. Seaman PhD,&nbsp;Erin C. Johnson PhD,&nbsp;Jacklyn M. Engelbart MD,&nbsp;Xiang Gao MD MPH,&nbsp;Praveen Vikas MD, MBBS,&nbsp;Sneha Phadke MD, DO,&nbsp;Mary C. Schroeder PhD,&nbsp;Ingrid M. Lizarraga MBBS,&nbsp;Mary E. Charlton PhD","doi":"10.1111/jrh.12842","DOIUrl":"10.1111/jrh.12842","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>While limited resources can make high-quality, comprehensive, coordinated cancer care provision challenging in rural settings, rural cancer patients often rely on local hospitals for care. To develop resources and strategies to support high-quality local cancer care, it is critical to understand the current experiences of rural cancer care physicians, including perceived strengths and challenges of providing cancer care in rural areas. </p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Semi-structured interviews were conducted with 13 cancer providers associated with all 12 non-metropolitan/rural Iowa hospitals that diagnose or treat &gt;100 cancer patients annually. Iterative thematic analysis was conducted to develop domains.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Participants identified geographic proximity and sense of community as strengths of local care. They described decision-making processes and challenges related to referring patients to larger centers for complex procedures, including a lack of dedicated navigators to facilitate and track transfers between institutions and occasional lack of respect from academic physicians. Participants reported a desire for strengthening collaborations with larger urban/academic cancer centers, including access to educational opportunities, shared resources and strategies to collect and monitor data on quality, and clinical trials.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Rural cancer care providers are dedicated to providing high-quality care close to home for their patients and would welcome opportunities to increase collaboration with larger centers to improve coordination and comprehensiveness of care, collect and monitor data on quality of care, and access continuing education opportunities. Further research is needed to develop implementation approaches that will extend resources, services, and expertise to rural providers to facilitate high-quality cancer care for all cancer patients.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jrh.12842","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140946378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health insurance coverage and experiences of intimate partner violence and postpartum abuse screening among rural US residents who gave birth 2016-2020","authors":"Katy Backes Kozhimannil PhD, MPA,&nbsp;Emily C. Sheffield MPH,&nbsp;Alyssa H. Fritz MPH, RD,&nbsp;Julia D. Interrante PhD, MPH,&nbsp;Carrie Henning-Smith PhD, MPH, MSW,&nbsp;Valerie A. Lewis PhD","doi":"10.1111/jrh.12843","DOIUrl":"10.1111/jrh.12843","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Intimate partner violence (IPV) is elevated among rural residents and contributes to maternal morbidity and mortality. Postpartum health insurance expansion efforts could address multiple causes of maternal morbidity and mortality, including IPV. The objective of this study was to describe the relationship between perinatal health insurance, IPV, and postpartum abuse screening among rural US residents.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using 2016-2020 data on rural residents from the Pregnancy Risk Assessment Monitoring System, we assessed self-report of experiencing physical violence by an intimate partner and rates of abuse screening at postpartum visits. Health insurance at childbirth and postpartum was categorized as private, Medicaid, or uninsured. We also measured insurance transitions from childbirth to postpartum (continuous private, continuous Medicaid, Medicaid to private, and Medicaid to uninsured).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>IPV rates varied by health insurance status at childbirth, with the highest rates among Medicaid beneficiaries (7.7%), compared to those who were uninsured (1.6%) or privately insured (1.6%). When measured by insurance transitions, the highest IPV rates were reported by those with continuous Medicaid coverage (8.6%), followed by those who transitioned from Medicaid at childbirth to private insurance (5.3%) or no insurance (5.9%) postpartum.</p>\u0000 \u0000 <p>Nearly half (48.1%) of rural residents lacked postpartum abuse screening, with the highest proportion among rural residents who were uninsured at childbirth (66.1%) or postpartum (52.1%).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Rural residents who are insured by Medicaid before or after childbirth are at elevated risk for IPV. Medicaid policy efforts to improve maternal health should focus on improving detection and screening for IPV among rural residents.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jrh.12843","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140909390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring COVID-19 census burdens by US hospital characteristics: Implications of quality reporting at rural and critical access hospitals","authors":"Ugochukwu C. Ugwuowo MD,&nbsp;Sarah K. Meier PhD,&nbsp;Pablo Moreno Franco MD,&nbsp;Katherine H. Noe MD, PhD,&nbsp;Sean C. Dowdy MD,&nbsp;Benjamin D. Pollock PhD","doi":"10.1111/jrh.12841","DOIUrl":"10.1111/jrh.12841","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>By assessing longitudinal associations between COVID-19 census burdens and hospital characteristics, such as bed size and critical access status, we can explore whether pandemic-era hospital quality benchmarking requires risk-adjustment or stratification for hospital-level characteristics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used hospital-level data from the US Department of Health and Human Services including weekly total hospital and COVID-19 censuses from August 2020 to August 2023 and the 2021 American Hospital Association survey. We calculated weekly percentages of total adult hospital beds containing COVID-19 patients. We then calculated the number of weeks each hospital spent at Extreme (≥20% of beds occupied by COVID-19 patients), High (10%–19%), Moderate (5%–9%), and Low (&lt;5%) COVID-19 stress. We assessed longitudinal hospital-level COVID-19 stress, stratified by 15 hospital characteristics including joint commission accreditation, bed size, teaching status, critical access hospital status, and core-based statistical area (CBSA) rurality.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Among <i>n</i> = 2582 US hospitals, the median(IQR) weekly percentage of hospital capacity occupied by COVID-19 patients was 6.7%(3.6%–13.0%). 80,268/213,383 (38%) hospital-weeks experienced Low COVID-19 census stress, 28% Moderate stress, 22% High stress, and 12% Extreme stress. COVID-19 census burdens were similar across most hospital characteristics, but were significantly greater for critical access hospitals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>US hospitals experienced similar COVID-19 census burdens across multiple institutional characteristics. Evidence-based inclusion of pandemic-era outcomes in hospital quality reporting may not require significant hospital-level risk-adjustment or stratification, with the exception of rural or critical access hospitals, which experienced differentially greater COVID-19 census burdens and may merit hospital-level risk-adjustment considerations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":4.9,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140833941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Missed opportunities for human papillomavirus vaccination using Iowa's Immunization Registry Information System","authors":"Ona R. Loper MPH,&nbsp;Jessica M. Schultz MPH,&nbsp;Bethany F. Kintigh RN,&nbsp;Donald J. Callaghan BA, CPH","doi":"10.1111/jrh.12839","DOIUrl":"10.1111/jrh.12839","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Adolescent human papillomavirus (HPV) vaccination rates continue to remain lower than other adolescent vaccines, both nationwide and in Iowa. This study examined predictors of missed opportunities for first-dose HPV vaccine administrations in Iowa in order to conduct more targeted outreach and improve adolescent HPV vaccine uptake.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective study was conducted to identify predictors of missed opportunities for first-dose HPV vaccination in Iowa adolescents using Iowa's Immunization Registry Information System. The study population included 154,905 adolescents aged 11-15 years between 2019 and 2022. Missed opportunity for first-dose HPV vaccination was defined as a vaccination encounter where an adolescent received a Tdap and/or MenACWY vaccine but did not receive the first-dose HPV vaccine during the same encounter.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Over a third of the study population experienced a missed opportunity for HPV vaccination between 2019 and 2022. Missed opportunity for vaccination was most common among individuals living in a rural county (aOR = 1.36), underinsured adolescents (aOR = 1.74), males (aOR = 1.12), teens 13-15 years of age (aOR = 1.76), and White race and non-Hispanic ethnicity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study builds on previously reported predictors of missed opportunity for HPV vaccination in adolescents. Increased understanding of provider needs and barriers to administering HPV vaccination and further analysis of how the Vaccines for Children Program can play a role in HPV vaccination uptake is necessary to improve HPV vaccination rates among adolescents in Iowa and more specifically in rural communities.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140812859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How rural is All of Us? Comparing characteristics of rural participants in the National Institute of Health's All of Us Research Program to other national data sources","authors":"Janessa M. Graves PhD, MPH,&nbsp;Shawna R. Beese PhD, RN,&nbsp;Demetrius A. Abshire PhD, RN,&nbsp;Kevin J. Bennett PhD, MS","doi":"10.1111/jrh.12840","DOIUrl":"10.1111/jrh.12840","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>The National Institute of Health's <i>All of Us</i> Research Program represents a national effort to develop a database to advance health research, especially among individuals historically underrepresented in research, including rural populations. The purpose of this study was to describe the rural populations identified in the <i>All of Us</i> Research Program using the only proxy measure currently available in the dataset.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Currently, the <i>All of Us</i> Research Program provides a proxy measure of rurality that identifies participants who self-reported delaying care due to far travel distances associated with living in rural areas. Using the <i>All of Us</i> Controlled Tier Dataset v6, we compared sociodemographic and health characteristics of <i>All of Us</i> rural participants identified via this proxy to rural US residents from nationally representative data sources using chi-squared tests.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>3.1% of 160,880 <i>All of Us</i> participants were rural, compared to 15%-20% of US residents based on commonly accepted rural definitions. Proportionally more rural <i>All of Us</i> participants reported fair or poor health status, history of cancer, and history of heart disease (<i>P</i>&lt;.01).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The <i>All of Us</i> measure may capture a subset of underserved participants who live in rural areas and experience health care access barriers due to distance. Researchers who use this proxy measure to characterize rurality should interpret their findings with caution due to differences in population and health characteristics using this proxy measure rural compared to other commonly used rural definitions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jrh.12840","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140834190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tobacco use disparities in rural communities","authors":"Ellen J. Hahn PhD,&nbsp;Amanda Bucher BA,&nbsp;Kathy Rademacher BA,&nbsp;Whitney Beckett BS,&nbsp;LeeAnn Taylor BS,&nbsp;Audrey Darville PhD,&nbsp;Melinda J. Ickes PhD","doi":"10.1111/jrh.12838","DOIUrl":"10.1111/jrh.12838","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>This exploratory study described facilitators and barriers to reducing tobacco disparities in 2 small rural communities and identified ways to reduce tobacco use.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This was a descriptive design using qualitative methods. We created a resource database for 2 rural Kentucky counties, using a Culture of Health Framework. We recruited 16 organizational stakeholders serving low-socioeconomic populations and conducted focus groups and key informant interviews. We also completed key informant interviews with 7 tobacco users. Lastly, we tailored Community Action Plans for each county based on the data and then solicited feedback from the key stakeholders.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The 2 counties were similar in population size, but County A had fewer resources than County B, and the stakeholders expressed differences toward tobacco use and quitting. County A stakeholders talked most about the protobacco culture and that tobacco users accept the risks of smoking outweighing the benefits of quitting; they also expressed concerns about youth use and the influences of family, society, and industry. County B stakeholders described ambivalence about the health effects of use and quitting. County A's Action Plan identified an opportunity to build Community Health Worker-delivered tobacco treatment into a new school-based health center. County B's Action Plan focused on reaching tobacco users by providing incentives for participation and tailoring messages to different audiences.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Tobacco control resources and stakeholder perspectives vary in small rural communities, implying a need for tailored approaches. Tobacco users in rural areas are a critical population to target with cessation resources.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140561040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}