Journal of Rural Health最新文献

{"title":"I offer “Ambulatory Surgical Center-as-Collaborator” to expand availability of colonoscopy with family physicians","authors":"James E. Hougas III, MD, FAAFP","doi":"10.1111/jrh.12869","DOIUrl":"10.1111/jrh.12869","url":null,"abstract":"","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141762185","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–urban differences in emergency medical services bypass routing of stroke in North Carolina","authors":"Mehul D. Patel PhD,&nbsp;Srihari V. Chari MPH,&nbsp;Eric R. Cui MD,&nbsp;Antonio R. Fernandez PhD,&nbsp;Arrianna Marie Planey PhD,&nbsp;Edward C. Jauch MD, MS,&nbsp;James E. Winslow MD, MPH","doi":"10.1111/jrh.12868","DOIUrl":"10.1111/jrh.12868","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Acute stroke is a serious, time-sensitive condition requiring immediate medical attention. Emergency medical services (EMS) routing and direct transport of acute stroke patients to stroke centers improves timely access to care. This study aimed to describe EMS stroke routing and transports by rurality in North Carolina (NC).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a retrospective study using existing data on EMS transports of suspected stroke patients in NC in 2019. The primary study outcome was EMS bypass of the nearest hospital for transport to a nonnearest hospital, determined by geographic information systems (GIS) analysis. Incident addresses were geocoded to census tracts and classified as urban, suburban, or rural by Rural–Urban Commuting Area codes. We compared the frequency of bypass and estimated additional transport times by urban, suburban, and rural incident locations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Of 3666 patients, 1884 (51%) EMS transports bypassed the nearest hospital. Bypass occurred less often for rural EMS incidents (39%) compared to those in urban (57%) and suburban (63%) tracts. The estimated additional transport time for rural bypasses of nonendovascular-capable stroke centers for endovascular-capable stroke centers was a median of 25 min (interquartile range 13–33).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Using GIS analysis, we found nearly half of EMS transports of suspected stroke patients in NC bypassed the nearest hospital, including noncertified hospitals and stroke centers. Bypasses occurred less often in rural areas, though incurred significantly longer transport times, compared to urban areas. These findings are important for regional stroke system planning, especially for improving rural access to acute stroke care.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141762186","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 uneven impact of Medicaid expansion on rural and urban Black, Latino/a, and White mortality","authors":"J. Tom Mueller PhD,&nbsp;Regina S. Baker PhD,&nbsp;Matthew M. Brooks PhD","doi":"10.1111/jrh.12859","DOIUrl":"10.1111/jrh.12859","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To determine the differential impact of Medicaid expansion on all-cause mortality between Black, Latino/a, and White populations in rural and urban areas, and assess how expansion impacted mortality disparities between these groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We employ a county-level time-varying heterogenous treatment effects difference-in-difference analysis of Medicaid expansion on all-cause age-adjusted mortality for those 64 years of age or younger from 2009 to 2019. For all counties within the 50 US States and the District of Columbia, we use restricted-access vital statistics data to estimate Average Treatment Effect on the Treated (ATET) for all combinations of racial and ethnic group (Black, Latino/a, White), rurality (rural, urban), and sex. We then assess aggregate ATET, as well as how the ATET changed as time from expansion increased.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Medicaid expansion led to a reduction in all-cause age-adjusted mortality for urban Black populations, but not rural Black populations. Urban White populations experienced mixed effects dependent on years after expansion. Latino/a populations saw no appreciable impact. While no effect was observed for rural Black and Latino/a populations, rural White all-cause age-adjusted mortality unexpectedly increased due to Medicaid expansion. These effects reduced rural- and urban-specific Black-White mortality disparities but did not shrink the rural-urban mortality gap.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The mortality-reducing impact of Medicaid expansion has been uneven across racial and ethnic groups and rural-urban status; suggesting that many populations—particularly rural individuals—are not seeing the same benefits as others. It is imperative that states work to ensure Medicaid expansion is being appropriately implemented in rural areas.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635343/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141581363","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":"Geographic distance to Commission on Cancer-accredited and nonaccredited hospitals in the United States","authors":"Mary C. Schroeder PhD,&nbsp;Jason Semprini PhD,&nbsp;Amanda R. Kahl MPH,&nbsp;Ingrid M. Lizarraga MBBS,&nbsp;Sarah A. Birken PhD,&nbsp;Madison M. Wahlen BS,&nbsp;Erin C. Johnson PhD,&nbsp;Jessica Gorzelitz PhD,&nbsp;Aaron T. Seaman PhD,&nbsp;Mary E. Charlton PhD","doi":"10.1111/jrh.12862","DOIUrl":"10.1111/jrh.12862","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>The Commission on Cancer (CoC) establishes standards to support multidisciplinary, comprehensive cancer care. CoC-accredited cancer programs diagnose and/or treat 73% of patients in the United States. However, rural patients may experience diminished access to CoC-accredited cancer programs. Our study evaluated distance to hospitals by CoC accreditation status, rurality, and Census Division.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>All US hospitals were identified from public-use Homeland Infrastructure Foundation-Level Data, then merged with CoC-accreditation data. Rural-Urban Continuum Codes (RUCC) were used to categorize counties as metro (RUCC 1-3), large rural (RUCC 4-6), or small rural (RUCC 7-9). Distance from each county centroid to the nearest CoC and non-CoC hospital was calculated using the Great Circle Distance method in ArcGIS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Of 1,382 CoC-accredited hospitals, 89% were in metro counties. Small rural counties contained a total of 30 CoC and 794 non-CoC hospitals. CoC hospitals were located 4.0, 10.1, and 11.5 times farther away than non-CoC hospitals for residents of metro, large rural, and small rural counties, respectively, while the average distance to non-CoC hospitals was similar across groups (9.4-13.6 miles). Distance to CoC-accredited facilities was greatest west of the Mississippi River, in particular the Mountain Division (99.2 miles).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Despite similar proximity to non-CoC hospitals across groups, CoC hospitals are located farther from large and small rural counties than metro counties, suggesting rural patients have diminished access to multidisciplinary, comprehensive cancer care afforded by CoC-accredited hospitals. Addressing distance-based access barriers to high-quality, comprehensive cancer treatment in rural US communities will require a multisectoral approach.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499462","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":"Associations between COVID-19 therapies and outcomes in rural and urban America: A multisite, temporal analysis from the Alpha to Omicron SARS-CoV-2 variants","authors":"A. Jerrod Anzalone PhD,&nbsp;William H. Beasley PhD,&nbsp;Kimberly Murray MPP,&nbsp;William B. Hillegass MD, PhD,&nbsp;Makayla Schissel MPH,&nbsp;Michael T. Vest DO,&nbsp;Scott A. Chapman PharmD,&nbsp;Ronald Horswell PhD,&nbsp;Lucio Miele MD, PhD,&nbsp;J. Zachary Porterfield MD, PhD,&nbsp;H. Timothy Bunnell PhD,&nbsp;Bradley S. Price PhD,&nbsp;Sharon Patrick MS, MPA,&nbsp;Clifford J. Rosen MD,&nbsp;Susan L. Santangelo ScD,&nbsp;James C. McClay MD, MS,&nbsp;Sally L. Hodder MD,&nbsp;the National COVID Cohort Collaborative (N3C) Consortium","doi":"10.1111/jrh.12857","DOIUrl":"10.1111/jrh.12857","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To investigate the enduring disparities in adverse COVID-19 events between urban and rural communities in the United States, focusing on the effects of SARS-CoV-2 vaccination and therapeutic advances on patient outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using National COVID Cohort Collaborative (N3C) data from 2021 to 2023, this retrospective cohort study examined COVID-19 hospitalization, inpatient death, and other adverse events. Populations were categorized into urban, urban-adjacent rural (UAR), and nonurban-adjacent rural (NAR). Adjustments included demographics, variant-dominant waves, comorbidities, region, and SARS-CoV-2 treatment and vaccination. Statistical methods included Kaplan-Meier survival estimates, multivariable logistic, and Cox regression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The study included 3,018,646 patients, with rural residents constituting 506,204. These rural dwellers were older, had more comorbidities, and were less vaccinated than their urban counterparts. Adjusted analyses revealed higher hospitalization odds in UAR and NAR (aOR 1.07 [1.05–1.08] and 1.06 [1.03–1.08]), greater inpatient death hazard (aHR 1.30 [1.26–1.35] UAR and 1.37 [1.30–1.45] NAR), and greater risk of other adverse events compared to urban dwellers. Delta increased, while Omicron decreased, inpatient adverse events relative to pre-Delta, with rural disparities persisting throughout. Treatment effectiveness and vaccination were similarly protective across all cohorts, but dexamethasone post-ventilation was effective only in urban areas. Nirmatrelvir/ritonavir and molnupiravir better protected rural residents against hospitalization.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Despite advancements in treatment and vaccinations, disparities in adverse COVID-19 outcomes persist between urban and rural communities. The effectiveness of some therapeutic agents appears to vary based on rurality, suggesting a nuanced relationship between treatment and geographic location while highlighting the need for targeted rural health care strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635344/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141477837","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":"Workplace factors related to health care leader well-being in rural settings","authors":"Erin E. Sullivan PhD,&nbsp;Amber L. Stephenson PhD,&nbsp;Matthew J. DePuccio PhD,&nbsp;Benjamin Anderson MBA,&nbsp;Bill Auxier PhD,&nbsp;John Henderson MBA,&nbsp;Mark Linzer MD","doi":"10.1111/jrh.12863","DOIUrl":"10.1111/jrh.12863","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>To examine which workplace factors contribute to health care leader well-being in rural settings.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Working with two rurally focused organizations, we administered a Rural Leader Burnout survey to executive leaders. The survey contained 25 questions; 24 were closed-item multiple choice and 1 open-ended question. The survey was based on the Mini Z 10 item burnout survey with 5 additional items for leaders. Logistic regression and qualitative content analysis determined factors associated with job satisfaction, burnout, and intent to leave (ITL).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>There were 288 respondents (response rate 22%). Of 272 with complete data, 61.4% were women and 51.8% had worked &gt; 10 years. About 81% reported job satisfaction, 40.2% were burned out, and 49.8% intended to leave their administrative roles within 2 years. Factors statistically associated with satisfaction were work control (OR = 3.0), values alignment with leadership (OR = 2.1), and trust in organization (OR = 2.0). Work control (OR = 0.3), trust in organization (OR = 0.4), and stress (OR = 4.1) were associated with burnout. Trust in organization (OR = 0.5), feeling valued (OR = 0.6), and stress (OR = 1.8) associated with ITL. Qualitative data revealed three themes relevant to rural leaders: (1) industry challenges, (2) daily operational issues, and (3) difficult relationships.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These exploratory analyses demonstrate practical ways to improve work conditions to mitigate burnout and turnover in rural leaders. Promoting thriving in leaders would be an important step in maintaining the rural health care workforce.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141494085","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":"Trends in and factors associated with family physician-performed screening colonoscopies in the United States: 2016-2021","authors":"Nicholas Edwardson PhD, MS,&nbsp;David van der Goes PhD,&nbsp;V. Shane Pankratz PhD,&nbsp;Gulshan Parasher MD,&nbsp;Prajakta Adsul MBBS, MPH, PhD,&nbsp;Kevin English DrPH,&nbsp;Judith Sheche MS,&nbsp;Shiraz I. Mishra MBBS, PhD","doi":"10.1111/jrh.12858","DOIUrl":"10.1111/jrh.12858","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Family physician (FP)-performed screening colonoscopies can serve as 1 strategy in the multifaceted strategy necessary to improve national colorectal cancer screening rates, particularly in rural areas where specialist models can fail. However, little research exists on the performance of this strategy in the real world. In this study, we evaluated trends in and factors associated with FP-performed screening colonoscopies in the United States between 2016 and 2021.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using national data from Merative's Marketscan insurance claims database, we estimate the proportion of screening colonoscopies performed by FPs. We use logistic regression models to evaluate factors independently associated with FP-performed colonoscopies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The percentage of screening colonoscopies performed by FPs exhibited a downward trend from 11.32% in 2016 to 6.73% in 2021, with the largest decrease occurring among patients from the most rural areas. FPs were more likely to perform colonoscopies on slightly older patients, male patients, and rural patients. Patients were less likely to receive FP-performed colonoscopies in large metropolitan areas compared to lesser populated areas. Patients were more likely to receive FP-performed colonoscopies in the Midwest, South, and West, even after accounting for urban-rural classification.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Despite a downward trajectory, FPs perform a substantial proportion of screening colonoscopies in the United States. Changes to the business side of health care delivery may be contributing to the observed decreasing rate. Whether through spatial or relational proximity, FPs may be better positioned to provide colonoscopy to some rural, male, and older patients who otherwise may not have been screened. Policy changes to expand the FP workforce, particularly in rural areas, are likely necessary to slow or reverse the downward trend of FP-performed screening colonoscopies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141460400","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":"Provider-to-provider telemedicine for sepsis is used less frequently in communities with high social vulnerability","authors":"Kevin J. Tu BS/BS,&nbsp;J. Priyanka Vakkalanka PhD,&nbsp;Uche E. Okoro MBBS, DrPH,&nbsp;Karisa K. Harland PhD, MPH,&nbsp;Cole Wymore BS,&nbsp;Brian M. Fuller MD, MSCI,&nbsp;Kalyn Campbell MD,&nbsp;Morgan B. Swanson MD, PhD,&nbsp;Edith A. Parker DrPH, MPH,&nbsp;Luke J. Mack MA,&nbsp;Amanda Bell MHA,&nbsp;Katie DeJong DO,&nbsp;Brett Faine PharmD, MS,&nbsp;Anne Zepeski PharmD, BCPS,&nbsp;Keith Mueller PhD,&nbsp;Elizabeth Chrischilles PhD,&nbsp;Christopher R. Carpenter MD, MSc,&nbsp;Michael P. Jones PhD,&nbsp;Marcia M. Ward PhD,&nbsp;Nicholas M. Mohr MD, MS","doi":"10.1111/jrh.12861","DOIUrl":"10.1111/jrh.12861","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Sepsis disproportionately affects patients in rural and socially vulnerable communities. A promising strategy to address this disparity is provider-to-provider emergency department (ED)-based telehealth consultation (tele-ED). The objective of this study was to determine if county-level social vulnerability index (SVI) was associated with tele-ED use for sepsis and, if so, which SVI elements were most strongly associated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used data from the TELEmedicine as a Virtual Intervention for Sepsis in Rural Emergency Department study. The primary exposures were SVI aggregate and component scores. We used multivariable generalized estimating equations to model the association between SVI and tele-ED use.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Our study cohort included 1191 patients treated in 23 Midwestern rural EDs between August 2016 and June 2019, of whom 326 (27.4%) were treated with tele-ED. Providers in counties with a high SVI were less likely to use tele-ED (adjusted odds ratio [aOR] = 0.51, 95% confidence interval [CI] 0.31‒0.87), an effect principally attributable to the housing type and transportation component of SVI (aOR = 0.44, 95% CI 0.22–0.89). Providers who treated fewer sepsis patients (1‒10 vs. 31+ over study period) and therefore may have been less experienced in sepsis care, were more likely to activate tele-ED (aOR = 3.91, 95% CI 2.08‒7.38).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Tele-ED use for sepsis was lower in socially vulnerable counties and higher among providers who treated fewer sepsis patients. These findings suggest that while tele-ED increases access to specialized care, it may not completely ameliorate sepsis disparities due to its less frequent use in socially vulnerable communities.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635342/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141460374","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":"Unveiling rural and Appalachian disparities in cigarette smoking through the social vulnerability index and other county-level characteristics","authors":"Asal Pilehvari PhD,&nbsp;Rebecca A. Krukowski PhD,&nbsp;Wen You PhD,&nbsp;Kara P. Wiseman PhD,&nbsp;Abigail G. Wester MPH,&nbsp;Wendy F. Cohn PhD,&nbsp;Roger T. Anderson PhD,&nbsp;Melissa A. Little PhD","doi":"10.1111/jrh.12860","DOIUrl":"10.1111/jrh.12860","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Mitigating tobacco-related disparities in the Appalachian region and rural areas is crucial. This study seeks to gauge cigarette smoking prevalence in Virginia counties, uncover rurality and Appalachian-linked disparities, and explore local drivers of these gaps.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>A 2011-2019 Virginia BRFSS data were used to estimate county-level cigarette smoking rates in adults aged 18 or older. Counties were categorized as urban/rural and Appalachian/non-Appalachian, with a focus on rural-Appalachian. Disparities in cigarette smoking rates and associated factors were analyzed via the Blinder-Oaxaca decomposition method. The study assessed 4 dimensions of the Centers for Disease Control and Prevention's social vulnerability index (SVI): socioeconomic, minority status, household composition, and housing. Additionally, county-specific factors such as tobacco agriculture, physician availability, coal mining, and tobacco retailer density were examined.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>Rural areas exhibited a 6.18% higher cigarette smoking prevalence compared to urban areas (<i>P</i>&lt;.001). SVI dimensions accounted for 53.2% of the disparity, county features explained 16.4%, and 30.4% remained unexplained. Appalachian areas had a 6.79% higher cigarette smoking prevalence than non-Appalachian areas (<i>P</i>&lt;.001). SVI dimensions explained 51.4% of the disparity, county features accounted for 21.8%, leaving 26.8% unexplained. Rural-Appalachian areas showed a 7.8% higher cigarette smoking prevalence (<i>P</i>&lt;.001). SVI dimensions contributed to 51.7% of the disparity, county features explained 9.6%, and 38.7% remained unexplained.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Substantial disparities in cigarette smoking prevalence exist in underserved areas of Virginia, including rural, Appalachian, and rural-Appalachian regions. While SVI dimensions, physician availability, tobacco agriculture, and coal mining contribute, yet notable gaps remain unexplained. Targeted interventions must tackle unique challenges in disadvantaged areas to reduce smoking and promote health equity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"41 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141509114","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":"“I don't think that a medication is going to help someone long-term stay off opioids”: Treatment and recovery beliefs of rural Vermont family members of people with opioid use disorder","authors":"Catherine E. Peasley-Miklus PhD,&nbsp;Julia G. Shaw MPH,&nbsp;Katie Rosingana BA,&nbsp;Mary Lindsey Smith PhD,&nbsp;Stacey C. Sigmon PhD,&nbsp;Sarah H. Heil PhD,&nbsp;Jennifer Jewiss EdD,&nbsp;Andrea C. Villanti MPH, PhD,&nbsp;Valerie S. Harder PhD, MHS","doi":"10.1111/jrh.12851","DOIUrl":"10.1111/jrh.12851","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Few studies have addressed beliefs about treatment for opioid use disorder (OUD) among family members of people with OUD, particularly in rural communities. This study examined the beliefs of rural family members of people with OUD regarding treatment, including medication for OUD (MOUD), and recovery.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Semi-structured qualitative interviews were conducted with rural Vermont family members of people with OUD. Twenty family members completed interviews, and data were analyzed using thematic analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Four primary themes related to beliefs about OUD treatment emerged: (1) MOUD is another form of addiction or dependency and should be used short-term; (2) essential OUD treatment components include residential and mental health services and a strong support network involving family; (3) readiness as a precursor to OUD treatment initiation; and (4) stigma as an impediment to OUD treatment and other health care services.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Rural family members valued mental health services and residential OUD treatment programs while raising concerns about MOUD and stigma in health care and the community. Several themes (e.g., MOUD as another form of addiction, residential treatment, and treatment readiness) were consistent with prior research. The belief that MOUD use should be short-term was inconsistent with the belief that OUD is a disease. Findings suggest a need for improved education on the effectiveness of MOUD for family members and on stigma for health care providers and community members.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50060,"journal":{"name":"Journal of Rural Health","volume":"40 4","pages":"681-688"},"PeriodicalIF":3.1,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jrh.12851","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141332383","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}