Journal of Rural Health最新文献

{"title":"Association of rurality and health professional shortages with the clinicopathologic characteristics of melanoma in North Carolina","authors":"Michael Seth Flynn MD,&nbsp;Matthew Gayed MD,&nbsp;Jamie Lebhar MD,&nbsp;Jennifer Jacobs MD,&nbsp;Christian Bailey-Burke BS,&nbsp;Kristin Tissera BS,&nbsp;Beiyu Liu PhD,&nbsp;Cynthia Green PhD,&nbsp;Michelle B. Pavlis MD,&nbsp;Paul J. Mosca MD, PhD, MBA","doi":"10.1111/jrh.12881","DOIUrl":"10.1111/jrh.12881","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To assess rural-urban and health professional shortage area (HPSA)-related influences on the characteristics of melanoma in North Carolina.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a single-center retrospective cohort study of patients living in North Carolina with an available pathology report for invasive cutaneous melanoma seen in the Duke University Health System from 01/01/2014 to 12/31/2020. Multivariable logistic regression models were employed to compare patient and tumor characteristics between rural versus urban county residence as well between melanoma thicknesses dichotomized into thin (≤1.0 mm) and thicker (&gt;1.0 mm) tumors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The cohort included 807 patients, and rural patients accounted for 177 (21.9%) of invasive cutaneous melanomas. Rural patients had significantly higher odds of having thicker tumors than urban patients (odds ratio [OR] = 1.78, 95% confidence interval [CI]: 1.17-2.71; <i>P</i> = .008). Rural patients were significantly more likely to be female (OR = 1.59, 95% CI: 1.10-2.28; <i>P</i> = .013) and located in a population-based (OR = 2.66, 95% CI: 1.84-3.84; <i>P</i>&lt;.001) or geographic-based (OR = 8.21, 95% CI: 3.33-20.22; <i>P</i>&lt;.001) HPSA. Living in a medium- or high-shortage population-based HPSA was associated with higher odds of thicker tumors (OR = 2.65, 95% CI: 1.85-3.80; <i>P</i>&lt;.001).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Patients living in rural North Carolina counties were more likely than those in urban counties to be diagnosed with melanomas &gt;1.0 mm in thickness, a clinically significant difference with important prognostic implications. Interventions at the county- and state-level to address this disparity may include improving access to skin cancer screening and teledermatology programs, increasing partnerships with primary care providers, and targeting interventions to counties with health professional shortages.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373397","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":"Video versus audio telehealth in safety net clinic patients: Changes by rurality and time","authors":"Annie E. Larson PhD,&nbsp;Kurt C. Stange MD,&nbsp;John Heintzman MD,&nbsp;Whitney E. Zahnd PhD,&nbsp;Melinda M. Davis PhD,&nbsp;S. Marie Harvey DrPH","doi":"10.1111/jrh.12887","DOIUrl":"10.1111/jrh.12887","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Understanding the mix of video versus audio telehealth modality is critical to informing care for low-income safety net clinic patients. Our study examined whether telehealth modality and continued use of telehealth varied by rurality and whether that changed over time.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Encounters from adults in the OCHIN national network of primary care safety net clinics were identified by encounter type (in-person vs telehealth) and telehealth modality (video vs audio) from 4/1/2021 to 3/31/2023. Our main outcome was an interaction between patient rurality (defined using Rural Urban Commuting Area codes) and time. Linear probability models with clinic fixed effects were used to estimate predicted probabilities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The predicted probability of a telehealth visit decreased from 37.9% to 24.7% among urban patients (<i>P</i> &lt;.001) and remained stable (29.5%-29.8%; <i>P</i> = .82) among patients in small rural areas. By March 2023, telehealth use among patients in small rural areas was 5.1 percentage points higher than among urban patients (<i>P</i> = .02). The predicted probability of an audio-only visit ranged from 63.5% to 70.5% for patients across all levels of rurality, but no significant differences by rurality or time were found.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Safety net clinic patients were more likely to use audio-only than video telehealth visits. Telehealth in urban and large rural areas decreased since the first year of the pandemic. By the end of the study, patients in small rural communities used significantly more telehealth than urban patients. Elimination of reimbursement for audio telehealth visits may exacerbate existing health care inequities.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142367166","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":"Revisiting the effects of state anesthesia policy interventions: A comprehensive look at certified registered nurse anesthetist service provision in U.S. hospitals from 2010 to 2021","authors":"Scott Feyereisen PhD,&nbsp;William McConnell PhD,&nbsp;Neeraj Puro PhD","doi":"10.1111/jrh.12879","DOIUrl":"10.1111/jrh.12879","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>Rural hospitals in the United States often rely on nonphysician providers such as advanced practice nurses to care for their patients. One important role that is served by advanced practice nurses is that of anesthesia provider (certified registered nurse anesthetist or CRNA). In 2001, Centers for Medicare &amp; Medicaid Services (CMS) passed an opt-out law affording state governors the right to loosen physician supervision requirements on CRNAs in their respective states, thus potentially improving access in targeted areas. Since then, 24 states have adopted these opt-out provisions. We aim to understand the extent to which the CMS opt-out law has resulted in increased CRNA service provision in hospitals, especially in rural areas.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>The study used a longitudinal design. We compiled 2010-2021 American Hospital Association data, which includes 4,464 unique U.S. hospitals observed an average of 8 times annually (35,863 total hospital-year observations).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We model CRNA services provision at the hospital level using longitudinal mixed effects generalized linear models that incorporate state, county, and hospital control variables.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Using descriptive statistics and mixed effects generalized linear models, we discovered that adopting opt-out provisions does not universally result in increased CRNA service provision in U.S. hospitals. Notably, opt-out provisions do not improve access in rural counties. However, in supplemental analysis, we discover some of the conditions under which the likelihood of CRNA service provision is influenced.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Hospitals often utilize CRNAs to staff their hospitals. However, many hospitals use both CRNAs and physician anesthesiologists; this can be a potential source of contention and confusion, given the lack of uniformity in the scope of practice policies. We offer some suggestions with regard to the effects of state interventions into the field, and how they might impact this dispute. Lastly, policymakers should consider additional measures to address rural access limitations, as the opt-out policy does not seem to be working as intended.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331376","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":"Individual- and environmental-level determinants of fruit and vegetable intakes in rural Georgia","authors":"Cerra C. Antonacci MBE, MHS,&nbsp;Michelle C. Kegler DrPH, MPH,&nbsp;Lauren Bigger MPH,&nbsp;April Hermstad MPH,&nbsp;Karen Ebey-Tessendorf MPH,&nbsp;Regine Haardörfer PhD, MEd, MS","doi":"10.1111/jrh.12880","DOIUrl":"10.1111/jrh.12880","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To investigate the ways in which food insecurity, food acquisition behaviors, and perceived and objective food access influence fruit and vegetable intakes among rural Georgians.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>A population-based survey was merged with USDA's Food Access Research Atlas, and multilevel modeling was used to determine individual-level (eg, food insecurity, food acquisition behaviors, perceived access) and environmental-level (eg, census tract food access) predictors of fruit and vegetable intakes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Setting</h3>\u0000 \u0000 <p>Twenty-four rural census tracts in 6 counties in Georgia, USA.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Participants</h3>\u0000 \u0000 <p>One thousand four hundred and seventy-four adults.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Residing in a low food access census tract was not associated with fruit or vegetable intake. Food insecurity had negative effects on both fruit and vegetable intakes. Perceived access to fresh fruits and vegetables was positively associated with fruit intake, and obtaining fresh fruits and vegetables from community or home gardens was positively associated with both fruit and vegetable intakes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Findings are unique from previous research on census tract-level fruit and vegetable determinants, underscoring the need for a better understanding of influences on fruit and vegetable intakes among rural populations. Interventions to increase fruit and vegetable consumption in rural areas should prioritize food security.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331375","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":"Gender differences in factors associated with rural health care practice in Minnesota","authors":"Selam Woldegerima MSc,&nbsp;Teri Fritsma PhD,&nbsp;Carrie Henning-Smith PhD, MPH, MSW,&nbsp;Mark Rosenberg MD,&nbsp;Andrew P. J. Olson MD","doi":"10.1111/jrh.12883","DOIUrl":"10.1111/jrh.12883","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To understand gender differences in factors affecting rural health care workforce to inform the development of effective policies and recruitment strategies to address rural health care workforce shortages.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional survey of health care professionals (including Advanced practice registered nurses (APRNs), physicians, physician assistants (PAs), and registered nurses (RNs)) in Minnesota was administered by the Minnesota Department of Health from October 18, 2021, to July 25, 2022, during their professional license renewal. The main outcome was whether or not the respondent was practicing in a rural area. The effects of factors associated with rural practice were estimated using binary logistic regression models, and subsequently subgroup analysis was conducted by gender across the four health care professions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Results show that although there were significant gender differences in some factors (growing up in a rural area and family considerations were more likely to influence women's decisions than men's, whereas men were more likely to be influenced by the prospect of having autonomy and broad scope of practice than women), these differences became insignificant when the four health care professionals were analyzed separately suggesting that overall gender differences observed were almost entirely explained by profession differences.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Gender differences do not significantly influence the factors impacting rural practice. However, being raised in a rural environment emerges as the most influential predictor of rural practice underscoring the importance of involving rural residents of all genders in health care practice.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jrh.12883","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331374","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":"Rural reticence to inform physicians of cannabis use","authors":"Daniel J. Mallinson PhD,&nbsp;Timothy J. Servinsky Jr BA","doi":"10.1111/jrh.12885","DOIUrl":"10.1111/jrh.12885","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Over 75% of Americans have legal access to medical cannabis, though physical access is not uniform and can be difficult for rural residents. Additionally, substantial stigma remains in using medical cannabis, particularly within the health care system. This article argues that rural Americans may be particularly affected by such stigma and may thus be more likely to not report cannabis use to health care providers.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data were obtained from 1,045 adult Pennsylvanians using a self-administered web panel omnibus survey. Rurality was determined by overlaying Zip Code Tabulation Areas with urban areas, as defined by the U.S. Census Bureau. Primary outcomes were prior use of cannabidiol (CBD) or marijuana and reporting of such use to medical professionals. Covariates utilized in logistic regressions included rurality, gender, age, race/ethnicity, political affiliation, political ideology, and veteran status.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Living in an urban area was positively associated with disclosure of marijuana use to health care providers as compared to those in rural areas, although there were no differences found in CBD disclosure.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Stigma surrounding marijuana usage may have a disproportionate impact on health outcomes for rural residents who use marijuana. Nonreporting prevents effective holistic medical care and can result in negative drug interactions and other side effects.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 2","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jrh.12885","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331377","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":"The urban–rural gap in older Americans’ healthy life expectancy","authors":"Jack M. Chapel PhD,&nbsp;Elizabeth Currid-Halkett PhD,&nbsp;Bryan Tysinger PhD","doi":"10.1111/jrh.12875","DOIUrl":"10.1111/jrh.12875","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Estimate health-quality-adjusted life expectancy (QALE) for Americans nearing retirement age and assess rural–urban disparities in QALE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used a dynamic microsimulation model based on Health and Retirement Study data to estimate the quantity and health quality of expected future life years for rural and urban Americans ages 59–60 in 2014–2020.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Cohort life expectancy at age 60 (LE) for urban and rural men was 22.9 and 20.9, respectively; for urban and rural women, LE was 25.6 and 25.0, respectively. Adjusting future life years to quality-adjusted life years, QALE was 17.5 versus 15.7 for urban versus rural men, and 19.3 versus 18.7 for women. Compared to a cohort in 1994–2000, the urban–rural QALE gap in 2014–2020 grew substantially for men; changes for women were smaller. Average QALE masked heterogeneity by race/ethnicity, education, and Census region. Counterfactual scenarios suggested eliminating smoking and managing obesity and prevalent heart conditions would be particularly beneficial for increasing rural QALE and reducing the urban–rural gap.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Expected health quality, in addition to longevity, is an important factor when assessing rural disparities in older Americans’ future life outcomes. Current chronic disease disparities are expected to translate to a widening urban–rural gap in QALE, particularly for men. Interventions earlier in life may be needed to fully address disparities in QALE at older ages.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142308968","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":"Drive time to care and retention in HIV care: Rural–urban differences among Medicaid enrollees in the United States South","authors":"April D. Kimmel PhD,&nbsp;Rose S. Bono MPH,&nbsp;Zhongzhe Pan PhD,&nbsp;Jessica S. Kiernan MSc,&nbsp;Faye Z. Belgrave PhD,&nbsp;Daniel E. Nixon DO,&nbsp;Lindsay Sabik PhD,&nbsp;Bassam Dahman PhD","doi":"10.1111/jrh.12877","DOIUrl":"10.1111/jrh.12877","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Less than 50% of people with HIV (PWH) in the United States are retained in care, a key step along the HIV care continuum. We examined the impact of geographic access to care on retention in care for urban and rural PWH.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used Medicaid claims and clinician data (Medicaid Analytic eXtract and MAX Provider Characteristics, 2009–2012) for 13 Southern states plus the District of Columbia. We calculated drive time from the enrollees’ ZIP Code Tabulation Area to their usual source of care. We used generalized estimating equations to examine the association between drive time to care &gt;30 min (versus ≤30 min) and retention in care, overall and stratified by rurality. In sensitivity analysis, we examined the definition of retention in care, states included in the analysis, and enrollee- and care-related characteristics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The sample included 49,596 PWH. Overall, the association between drive time &gt;30 min and retention was significant, but small (adjusted odds ratio [aOR] 1.01, 95% confidence interval [CI] 1.00, 1.01) and was not significant in urban areas; however, the significance and direction of the association differed in sensitivity analysis. In rural areas, driving &gt;30 min to care was associated with 7% higher odds of retention in care (aOR 1.07, 95% CI 1.05, 1.08) and this association remained significant and positive in nearly all sensitivity analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>For PWH in rural areas, greater drive time is consistently associated with greater retention in care. Disentangling the mechanisms of this relationship is a future research priority.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jrh.12877","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252729","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":"A closer examination of the “rural mortality penalty”: Variability by race, region, and measurement","authors":"Steven Cohen DrPH, MPH,&nbsp;Emily Metcalf  ,&nbsp;Monique J. Brown PhD, MPH, FGSA,&nbsp;Neelam H. Ahmed MPH,&nbsp;Caitlin Nash MPH, RD, LDN,&nbsp;Mary L. Greaney PhD, MPH, CHES","doi":"10.1111/jrh.12876","DOIUrl":"10.1111/jrh.12876","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Racial health disparities are well documented and pervasive across the United States. Evidence suggests there is a “rural mortality penalty” whereby rural residents experience poorer health outcomes than their urban counterparts. However, whether this penalty is uniform across demographic groups and U.S. regions is unknown.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To assess how rural–urban differences in mortality differ by race (Black vs. White), U.S. region, poverty status, and how rural–urban status is measured.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Age-standardized mortality rates (ASMRs)/100,000 by U.S. county (2015–2019) were obtained by race (Black/White) from the CDC Wonder National Vital Statistics System (2015–2019) and were merged with county-level social determinants from the US Census Bureau and County Health Rankings. Multivariable generalized linear models assessed the associations between rurality (index of relative rurality [IRR] decile, rural–urban continuum codes, and population density) and race-specific ASMR, overall, and by Census region and poverty level.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Overall, average ASMR was significantly higher in rural areas than urban areas for both Black (rural ASMR = 949.1 per 100,000 vs. urban ASMR = 857.7 per 100,000) and White (rural ASMR = 903.0 per 100,000 vs. urban ASMR = 791.6 per 100,000) populations. The Black-White difference was substantially higher (<i>p</i> &lt; 0.001) in urban than in rural counties (65.1 per 100,000 vs. 46.1 per 100,000). Black–White differences and patterns in ASMR varied notably by poverty status and U.S. region.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Policies and interventions designed to reduce racial health disparities should consider and address key contextual factors associated with geographic location, including rural–urban status and socioeconomic status.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142094116","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":"Discharge disposition for home health care patients with Alzheimer's disease and related dementia: The role of living arrangements and rural living","authors":"Daniel Jung PhD,&nbsp;Jeong Ha (Steph) Choi PhD,&nbsp;Kerstin Gerst Emerson PhD","doi":"10.1111/jrh.12872","DOIUrl":"10.1111/jrh.12872","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To examine the relationship between living arrangements and discharge disposition, and how this relationship differs by the rural or urban characteristics of the patient's residence among home health care patients with Alzheimer's disease and related dementia (ADRD).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This retrospective study used the 2019 Outcome and Assessment Information Set and the Master Beneficiary Summary File. Our study was based on 531,269 Medicare fee-for-service patients with ADRD. We used linear probability regression models to examine the relationship between discharge disposition (to the community vs. an institution) and living arrangements, including an interaction term for rural-urban residence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Patients in rural areas (19.8%) were more likely to live alone than those in urban areas (15.2%). Our main results show that patients living at home with others (coefficient: –0.02, <i>p</i>-value &lt; 0.001) or alone (coefficient: –0.03, <i>p</i>-value &lt; 0.001) were less likely to be discharged to the community compared to patients who lived in congregate settings. Also, for patients with ADRD who lived in rural areas, living at home with others (rural*home with others; coefficient: –0.02, <i>p</i>-value &lt; 0.001) or living alone (rural*home alone; coefficient: –0.03, <i>p</i>-value&lt;0.001) were associated with additional lower probabilities of being discharged to their communities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>A multidimensional approach considering living arrangements to support home health care patients with ADRD could be critical to achieving better health outcomes. Furthermore, implementing area-specific target interventions could be important for improving the care and health of patients with ADRD as well as reducing rural-urban disparities in discharge disposition.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635399/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019368","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}