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      Association of Rural and Critical Access Hospital Status With Patient Outcomes After Emergency Department Visits Among Medicare Beneficiaries

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          Key Points

          Question

          Do 30-day outcomes differ after emergency department (ED) visits in rural vs urban settings and in the subset of rural hospitals classified as critical access?

          Findings

          In this cohort study of 473 152 matched urban and rural Medicare beneficiaries, risk-adjusted all-cause mortality after rural and urban ED visits was similar, particularly for potentially life-threatening conditions. Critical access hospitals had similar outcomes.

          Meaning

          These findings underscore the importance of rural and critical access EDs for treatment of life-threatening conditions among Medicare recipients and have important policy implications given the continued increase in rural hospital closures.

          Abstract

          This cohort study compares 30-day outcomes among Medicare recipients after rural vs urban emergency department visits and in a subset of rural hospitals classified as critical access using national fee-for-service Medicare data.

          Abstract

          Importance

          Rural US residents disproportionately rely on emergency departments (ED), yet little is known about patient outcomes after ED visits to rural hospitals or critical access hospitals (CAHs).

          Objective

          To compare 30-day outcomes after rural vs urban ED visits and in CAHs, a subset of rural hospitals.

          Design, Setting, and Participants

          This propensity-matched, retrospective cohort study used a 20% sample of national Medicare fee-for-service beneficiaries from January 1, 2011, to October 31, 2015. Rural and urban ED visits were matched on demographics, patient prior use of EDs, comorbidities, and diagnoses. Thirty-day outcomes overall and stratified by 25 common ED diagnoses were evaluated, with similar analysis of CAHs vs non-CAHs. Data were analyzed from February 15, 2020, to May 17, 2021.

          Main Outcomes and Measures

          The primary outcome was 30-day all-cause mortality. Secondary outcomes were ED revisits with and without hospitalization.

          Results

          The matched cohort included 473 152 rural and urban Medicare beneficiaries with a mean (SD) age of 75.1 (7.9) years (59.1% and 59.3% women, respectively; 86.9% and 87.1% White, respectively). Medicare beneficiaries at rural vs urban EDs experienced similar all-cause 30-day mortality (3.9% vs 4.1%; effect size, 0.01), ED revisits (18.1% vs 17.8%; effect size, 0.00), and ED revisits with hospitalization (6.0% vs 8.1%; effect size, 0.00). Rural ED visits were associated with more transfer (6.2% vs 2.0%; effect size, 0.22) and fewer hospitalizations (24.7% vs 39.2; effect size, 0.31). Stratified by diagnosis, patients in rural EDs with life-threatening illnesses experienced more transfer with 30-day mortality similar to that of patients in urban EDs. In contrast, mortality differed for patients in rural EDs with symptom-based diagnoses, including chest pain (odds ratio [OR], 1.54 [95% CI, 1.25-1.89]), nausea and vomiting (OR, 1.68 [95% CI, 1.26-2.24), and abdominal pain (OR, 1.73 [95% CI, 1.42-2.10]). All findings were similar for CAHs.

          Conclusions and Relevance

          The findings of this cohort study of rural ED care suggest that patient mortality for potentially life-threatening conditions is comparable to that in urban settings. Further research is needed to understand the sources of greater rural ED mortality for symptom-based conditions. These findings underscore the importance of ensuring access to treatment of life-threatening conditions at local EDs in rural communities, which are increasingly endangered by hospital closures.

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          Most cited references65

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          The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

          Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September, 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles.18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies.A detailed explanation and elaboration document is published separately and is freely available on the websites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE statement will contribute to improving the quality of reporting of observational studies
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            Prevalence of obesity among adults from rural and urban areas of the United States: findings from NHANES (2005-2008).

            Rural residents have higher rates of chronic diseases compared to their urban counterparts, and obesity may be a major contributor to this disparity. This study is the first analysis of obesity prevalence in rural and urban adults using body mass index classification with measured height and weight. In addition, demographic, diet, and physical activity correlates of obesity across rural and urban residence are examined. Analysis of body mass index (BMI), diet, and physical activity from 7,325 urban and 1,490 rural adults in the 2005-2008 National Health and Nutrition Examination Survey (NHANES). The obesity prevalence was 39.6% (SE = 1.5) among rural adults compared to 33.4% (SE = 1.1) among urban adults (P = .006). Prevalence of obesity remained significantly higher among rural compared to urban adults controlling for demographic, diet, and physical activity variables (odds ratio = 1.18, P = .03). Race/ethnicity and percent kcal from fat were significant correlates of obesity among both rural and urban adults. Being married was associated with obesity only among rural residents, whereas older age, less education, and being inactive was associated with obesity only among urban residents. Obesity is markedly higher among adults from rural versus urban areas of the United States, with estimates that are much higher than the rates suggested by studies with self-reported data. Obesity deserves greater attention in rural America. © 2012 National Rural Health Association.
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              Surgeon volume and operative mortality in the United States.

              Although the relation between hospital volume and surgical mortality is well established, for most procedures, the relative importance of the experience of the operating surgeon is uncertain. Using information from the national Medicare claims data base for 1998 through 1999, we examined mortality among all 474,108 patients who underwent one of eight cardiovascular procedures or cancer resections. Using nested regression models, we examined the relations between operative mortality and surgeon volume and hospital volume (each in terms of total procedures performed per year), with adjustment for characteristics of the patients and other characteristics of the providers. Surgeon volume was inversely related to operative mortality for all eight procedures (P=0.003 for lung resection, P<0.001 for all other procedures). The adjusted odds ratio for operative death (for patients with a low-volume surgeon vs. those with a high-volume surgeon) varied widely according to the procedure--from 1.24 for lung resection to 3.61 for pancreatic resection. Surgeon volume accounted for a large proportion of the apparent effect of the hospital volume, to an extent that varied according to the procedure: it accounted for 100 percent of the effect for aortic-valve replacement, 57 percent for elective repair of an abdominal aortic aneurysm, 55 percent for pancreatic resection, 49 percent for coronary-artery bypass grafting, 46 percent for esophagectomy, 39 percent for cystectomy, and 24 percent for lung resection. For most procedures, the mortality rate was higher among patients of low-volume surgeons than among those of high-volume surgeons, regardless of the surgical volume of the hospital in which they practiced. For many procedures, the observed associations between hospital volume and operative mortality are largely mediated by surgeon volume. Patients can often improve their chances of survival substantially, even at high-volume hospitals, by selecting surgeons who perform the operations frequently. Copyright 2003 Massachusetts Medical Society
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                19 November 2021
                November 2021
                19 November 2021
                : 4
                : 11
                : e2134980
                Affiliations
                [1 ]Department of Emergency Medicine, University of New Mexico, Albuquerque
                [2 ]Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque
                [3 ]Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
                [4 ]Department of Emergency Medicine, University of Michigan, Ann Arbor
                [5 ]Division of Critical Care, Department of Emergency Medicine, University of New Mexico, Albuquerque
                [6 ]Center for Healthcare Equity in Kidney Disease, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque
                [7 ]Department of Emergency Medicine, University of Iowa, Iowa City
                [8 ]Department of Anesthesia–Critical Care Medicine, University of Iowa, Iowa City
                [9 ]Department of Learning Health Sciences, University of Michigan, Ann Arbor
                Author notes
                Article Information
                Accepted for Publication: September 22, 2021.
                Published: November 19, 2021. doi:10.1001/jamanetworkopen.2021.34980
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Greenwood-Ericksen M et al. JAMA Network Open.
                Corresponding Author: Margaret Greenwood-Ericksen, MD, MSc, Department of Emergency Medicine, University of New Mexico, 700 Camino de Salud, Albuquerque, NM 87131 ( mgreenwoodericksen@ 123456salud.unm.edu ).
                Author Contributions: Dr Greenwood-Ericksen and Mr Kamdar had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Greenwood-Ericksen, Kamdar, Mohr, Kocher.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Greenwood-Ericksen, Kamdar, George, Crandall.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Greenwood-Ericksen, Kamdar, Lin, George, Crandall.
                Obtained funding: Greenwood-Ericksen, Kocher.
                Administrative, technical, or material support: Greenwood-Ericksen, Mohr, Kocher.
                Supervision: Greenwood-Ericksen, Myaskovsky, Kocher.
                Conflict of Interest Disclosures: Mr Kamdar reported receiving consulting fees from Lucent Surgical Support Systems, Inc, for developing pain score algorithms for surgical and hospitalized patients, from University of New Mexico for developing analysis on an extracorporeal membrane oxygenation study, and from Stanford University for developing opioid analysis for patients undergoing colorectal surgery outside the submitted work. Dr Kocher reported receiving grants from Agency for Healthcare Research and Quality during the conduct of the study and grants from Blue Cross Blue Shield of Michigan to support the Michigan Emergency Department Improvement Collaborative, a quality network, outside the submitted work. No other disclosures were reported.
                Funding/Support: This work was supported by grant K08HS02416 from the Agency for Healthcare Research and Quality (Dr Kocher) and the National Clinician Scholars Program with funding from the Department of Veterans Affairs (Dr Greenwood-Ericksen).
                Role of the Funder/Sponsor: The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Article
                zoi210985
                10.1001/jamanetworkopen.2021.34980
                8605483
                34797370
                e849f4c9-00a7-42fc-803d-1788be5c8814
                Copyright 2021 Greenwood-Ericksen M et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 28 April 2021
                : 22 September 2021
                Categories
                Research
                Original Investigation
                Online Only
                Emergency Medicine

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