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      Association of Race, Ethnicity, and Rurality With Major Leg Amputation or Death Among Medicare Beneficiaries Hospitalized With Diabetic Foot Ulcers

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          Key Points

          Question

          Is the intersection of race, ethnicity, rurality, and/or neighborhood disadvantage associated with outcomes among US patients with diabetic foot ulcers?

          Findings

          In this cohort study of 124 487 patients hospitalized with diabetic foot ulcers, 17.6% underwent major (above-ankle) leg amputation or died within 30 days of hospital discharge; proportions increased to 18.3% for rural patients and 21.9% for those identifying as Black. The proportion increased to 28.0% for patients who identified as both rural and Black, suggesting a role for intersectionality.

          Meaning

          This study suggests that the intersection of rural residence and identifying as Black is associated with an amplified risk of major leg amputation or death among US patients with diabetic foot ulcers.

          Abstract

          Importance

          Patients identifying as Black and those living in rural and disadvantaged neighborhoods are at increased risk of major (above-ankle) leg amputations owing to diabetic foot ulcers. Intersectionality emphasizes that the disparities faced by multiply marginalized people (eg, rural US individuals identifying as Black) are greater than the sum of each individual disparity.

          Objective

          To assess whether intersecting identities of Black race, ethnicity, rural residence, or living in a disadvantaged neighborhood are associated with increased risk in major leg amputation or death among Medicare beneficiaries hospitalized with diabetic foot ulcers.

          Design, Setting, and Participants

          This retrospective cohort study used 2013-2014 data from the US National Medicare Claims Data Database on all adult Medicare patients hospitalized with a diabetic foot ulcer. Statistical analysis was conducted from August 1 to October 27, 2021.

          Exposures

          Race was categorized using Research Triangle Institute variables. Rurality was assigned using Rural-Urban Commuting Area codes. Residents of disadvantaged neighborhoods comprised those living in neighborhoods at or above the national 80th percentile Area Deprivation Index.

          Main Outcomes and Measures

          Major leg amputation or death during hospitalization or within 30 days of hospital discharge. Logistic regression was used to explore interactions among race, ethnicity, rurality, and neighborhood disadvantage, controlling for sociodemographic characteristics, comorbidities, and ulcer severity.

          Results

          The cohort included 124 487 patients, with a mean (SD) age of 71.5 (13.0) years, of whom 71 286 (57.3%) were men, 13 100 (10.5%) were rural, and 21 649 (17.4%) identified as Black. Overall, 17.6% of the cohort (n = 21 919), 18.3% of rural patients (2402 of 13 100), and 21.9% of patients identifying as Black (4732 of 21 649) underwent major leg amputation or died. Among 1239 rural patients identifying as Black, this proportion was 28.0% (n = 347). This proportion exceeded the expected excess for rural patients (18.3% − 17.6% = 0.7%) plus those identifying as Black (21.9% − 17.6% = 4.3%) by more than 2-fold (28.0% − 17.6% = 10.4% vs 0.7% + 4.3% = 5.0%). The adjusted predicted probability of major leg amputation or death remained high at 24.7% (95% CI, 22.4%-26.9%), with a significant interaction between race and rurality.

          Conclusions and Relevance

          Rural patients identifying as Black had a more than 10% absolute increased risk of major leg amputation or death compared with the overall cohort. This study suggests that racial and rural disparities interacted, amplifying risk. Findings support using an intersectionality lens to investigate and address disparities in major leg amputation and mortality for patients with diabetic foot ulcers.

          Abstract

          This cohort study assesses whether intersecting identities of Black race, ethnicity, rural residence, or living in a disadvantaged neighborhood are associated with increased risk in major leg amputation or death among Medicare beneficiaries hospitalized with diabetic foot ulcers.

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          Most cited references55

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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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            Comorbidity measures for use with administrative data.

            This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from other aspects of the patient's condition, development of a comorbidity algorithm, and testing on heterogeneous and homogeneous patient groups. Data were drawn from all adult, nonmaternal inpatients from 438 acute care hospitals in California in 1992 (n = 1,779,167). Outcome measures were those commonly available in administrative data: length of stay, hospital charges, and in-hospital death. A comprehensive set of 30 comorbidity measures was developed. The comorbidities were associated with substantial increases in length of stay, hospital charges, and mortality both for heterogeneous and homogeneous disease groups. Several comorbidities are described that are important predictors of outcomes, yet commonly are not measured. These include mental disorders, drug and alcohol abuse, obesity, coagulopathy, weight loss, and fluid and electrolyte disorders. The comorbidities had independent effects on outcomes and probably should not be simplified as an index because they affect outcomes differently among different patient groups. The present method addresses some of the limitations of previous measures. It is based on a comprehensive approach to identifying comorbidities and separates them from the primary reason for hospitalization, resulting in an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.
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              • Record: found
              • Abstract: not found
              • Article: not found

              Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                21 April 2022
                April 2022
                21 April 2022
                : 5
                : 4
                : e228399
                Affiliations
                [1 ]Department of Medicine, University of Wisconsin, Madison
                [2 ]Department of Ophthalmology, University of Wisconsin, Madison
                [3 ]Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison
                [4 ]Geriatric Research Education and Clinical Center (GRECC), William S. Middleton Hospital, Department of Veterans Affairs, Madison, Wisconsin
                Author notes
                Article Information
                Accepted for Publication: March 3, 2022.
                Published: April 21, 2022. doi:10.1001/jamanetworkopen.2022.8399
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Brennan MB et al. JAMA Network Open.
                Corresponding Author: Meghan B. Brennan, MD, University of Wisconsin, 1685 Highland Ave, Madison, WI 53583 ( mbbrennan@ 123456medicine.wisc.edu ).
                Author Contributions: Dr Brennan had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Brennan, Powell, Kaiksow, Kind, Bartels.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Brennan, Powell.
                Critical revision of the manuscript for important intellectual content: All authors.
                Statistical analysis: Brennan, Powell, Kramer.
                Obtained funding: Brennan, Kind.
                Administrative, technical, or material support: Liu, Kind.
                Supervision: Brennan, Kind, Bartels.
                Conflict of Interest Disclosures: Dr Brennan reported receiving grants from the Agency for Healthcare Research and Quality and the Diabetes Research Center at Washington University during the conduct of the study. Dr Powell reported receiving grants from the National Institute on Minority Health and Health Disparities during the conduct of the study and grants from the National Institute on Aging outside the submitted work. Dr Liu reported receiving an unrestricted grant from Research to Prevent Blindness. Dr Kind reported receiving grants from the National Institutes of Health during the conduct of the study and grants from the National Institutes of Health outside the submitted work. Dr Bartels reported receiving grants from Independent Grants for Learning and Change (Pfizer) outside the submitted work. No other disclosures were reported.
                Funding/Support: This work was supported by grant 5K08HS026279 from the Agency for Healthcare Research and Quality and grant P30 DK020579 from the Diabetes Research Center at Washington University (Dr Brennan). Additional funding was from grant R01MD010243 from the National Institute on Minority Health and Health Disparities Research and the Wisconsin Clinical and Translational Science Award (NIH CTSA grant 1UL1TR002373; Drs Bartels and Kind). This work was also supported in part by an unrestricted grant from Research to Prevent Blindness to the University of Wisconsin School of Medicine and Public Health, Department of Ophthalmology and Visual Sciences (Dr Liu).
                Role of the Funder/Sponsor: The funding sources 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.
                Meeting Presentation: This study was presented at the 81st Scientific Sessions of the American Diabetes Association; June 28, 2021; virtual.
                Additional Contributions: We thank Jamie N. LaMantia, BS, Department of Medicine, University of Wisconsin–Madison School of Medicine and Public Health, for her editorial assistance; she did not receive compensation beyond regular salary for this assistance. We also thank Lindsay Taylor, MD, Department of Medicine–Madison School of Medicine and Public Health for her assistance in generating Figure 2 using R software; she did not receive compensation beyond regular salary for this assistance.
                Article
                zoi220256
                10.1001/jamanetworkopen.2022.8399
                9024392
                35446395
                6309ddbe-34ec-4d2f-8bdf-22a89155edb2
                Copyright 2022 Brennan MB et al. JAMA Network Open.

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

                History
                : 30 October 2021
                : 3 March 2022
                Categories
                Research
                Original Investigation
                Featured
                Online Only
                Diversity, Equity, and Inclusion

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