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      Patterns of Telemedicine Use and Glycemic Outcomes of Endocrinology Care for Patients With Type 2 Diabetes

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          Abstract

          This cohort study evaluates patterns of telemedicine use and their association with glycemic control among adults receiving endocrinology care for type 2 diabetes.

          Key Points

          Question

          What is the association between telemedicine use and glycemic outcomes among adults with varying clinical complexity receiving endocrinology care for type 2 diabetes from 2020 to 2022?

          Findings

          In this cohort study including 3778 adults, there was no significant change in estimated hemoglobin A 1c (HbA 1c) over 12 months (−0.06%) among patients using telemedicine alone, while patients who used in-person (−0.37%) and mixed care (−0.22%) had significant HbA 1c improvements.

          Meaning

          These findings suggest that patients with type 2 diabetes who rely on telemedicine alone to access endocrinology care may require additional support to achieve glycemic goals.

          Abstract

          Importance

          Telemedicine can increase access to endocrinology care for people with type 2 diabetes (T2D), but patterns of use and outcomes of telemedicine specialty care for adults with T2D beyond initial uptake in 2020 are not known.

          Objective

          To evaluate patterns of telemedicine use and their association with glycemic control among adults with varying clinical complexity receiving endocrinology care for T2D.

          Design, Setting, and Participants

          Retrospective cohort study in a single large integrated US health system. Participants were adults who had a telemedicine endocrinology visit for T2D from May to October 2020. Data were analyzed from June 2022 to October 2023.

          Exposure

          Patients were followed up through May 2022 and assigned to telemedicine-only, in-person, or mixed care (both telemedicine and in-person) cohorts according to visit modality.

          Main Outcomes and Measures

          Multivariable regression models were used to estimate hemoglobin A 1c (HbA 1c) change at 12 months within each cohort and the association of factors indicating clinical complexity (insulin regimen and cardiovascular and psychological comorbidities) with HbA 1c change across cohorts. Subgroup analysis was performed for patients with baseline HbA 1c of 8% or higher.

          Results

          Of 11 498 potentially eligible patients, 3778 were included in the final cohort (81 Asian participants [2%], 300 Black participants [8%], and 3332 White participants [88%]); 1182 used telemedicine only (mean [SD] age 57.4 [12.9] years; 743 female participants [63%]), 1049 used in-person care (mean [SD] age 63.0 [12.2] years; 577 female participants [55%]), and 1547 used mixed care (mean [SD] age 60.7 [12.5] years; 881 female participants [57%]). Among telemedicine-only patients, there was no significant change in adjusted HbA 1c at 12 months (−0.06%; 95% CI, −0.26% to 0.14%; P = .55) while in-person and mixed cohorts had improvements of 0.37% (95% CI, 0.15% to 0.59%; P < .001) and 0.22% (95% CI, 0.07% to 0.38%; P = .004), respectively. Patients with a baseline HbA 1c of 8% or higher had a similar pattern of glycemic outcomes. For patients prescribed multiple daily injections vs no insulin, the 12-month estimated change in HbA 1c was 0.25% higher (95% CI, 0.02% to 0.47%; P = .03) for telemedicine vs in-person care. Comorbidities were not associated with HbA 1c change in any cohort.

          Conclusions and Relevance

          In this cohort study of adults with T2D receiving endocrinology care, patients using telemedicine alone had inferior glycemic outcomes compared with patients who used in-person or mixed care. Additional strategies may be needed to support adults with T2D who rely on telemedicine alone to access endocrinology care, especially for those with complex treatment or elevated HbA 1c.

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          Most cited references49

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

          Much of 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 generalizability. 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. Eighteen 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 web sites 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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            Measures of social deprivation that predict health care access and need within a rational area of primary care service delivery.

            To develop a measure of social deprivation that is associated with health care access and health outcomes at a novel geographic level, primary care service area. Secondary analysis of data from the Dartmouth Atlas, AMA Masterfile, National Provider Identifier data, Small Area Health Insurance Estimates, American Community Survey, Area Resource File, and Behavioural Risk Factor Surveillance System. Data were aggregated to primary care service areas (PCSAs). Social deprivation variables were selected from literature review and international examples. Factor analysis was used. Correlation and multivariate analyses were conducted between index, health outcomes, and measures of health care access. The derived index was compared with poverty as a predictor of health outcomes. Variables not available at the PCSA level were estimated at block level, then aggregated to PCSA level. Our social deprivation index is positively associated with poor access and poor health outcomes. This pattern holds in multivariate analyses controlling for other measures of access. A multidimensional measure of deprivation is more strongly associated with health outcomes than a measure of poverty alone. This geographic index has utility for identifying areas in need of assistance and is timely for revision of 35-year-old provider shortage and geographic underservice designation criteria used to allocate federal resources. © Health Research and Educational Trust.
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              Variation In Telemedicine Use And Outpatient Care During The COVID-19 Pandemic In The United States: Study examines variation in total US outpatient visits and telemedicine use across patient demographics, specialties, and conditions during the COVID-19 pandemic.

              Coronavirus disease 2019 (COVID-19) spurred a rapid rise in telemedicine, but it is unclear how use has varied by clinical and patient factors during the pandemic. We examined the variation in total outpatient visits and telemedicine use across patient demographics, specialties, and conditions in a database of 16.7 million commercially insured and Medicare Advantage enrollees from January to June 2020. During the pandemic, 30.1 percent of all visits were provided via telemedicine, and the weekly number of visits increased twenty-three-fold compared with the prepandemic period. Telemedicine use was lower in communities with higher rates of poverty (31.9 percent versus 27.9 percent for the lowest and highest quartiles of poverty rate, respectively). Across specialties, the use of any telemedicine during the pandemic ranged from 68 percent of endocrinologists to 9 percent of ophthalmologists. Across common conditions, the percentage of visits provided during the pandemic via telemedicine ranged from 53 percent for depression to 3 percent for glaucoma. Higher rates of telemedicine use for common conditions were associated with smaller decreases in total weekly visits during the pandemic.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                6 December 2023
                December 2023
                6 December 2023
                : 6
                : 12
                : e2346305
                Affiliations
                [1 ]Division of Endocrinology and Metabolism, University of Pittsburgh School of Medicine, Pennsylvania
                [2 ]Center for Health Outcomes Research, Veterans Affairs Bedford Healthcare System, Bedford, Massachusetts
                [3 ]Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pennsylvania
                [4 ]Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore
                [5 ]University of Maryland Institute for Health Computing, Bethesda
                [6 ]Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pennsylvania
                [7 ]Department of Medicine, Boston University School of Medicine, Massachusetts
                Author notes
                Article Information
                Accepted for Publication: October 23, 2023.
                Published: December 6, 2023. doi:10.1001/jamanetworkopen.2023.46305
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Zupa MF et al. JAMA Network Open.
                Corresponding Author: Margaret F. Zupa, MD, MS, University of Pittsburgh School of Medicine, 3601 Fifth Ave, Suite 3A, Pittsburgh, PA 15213 ( zupamf@ 123456pitt.edu ).
                Author Contributions: Dr Rothenberger 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: Zupa, Rothenberger, Ng, Rosland.
                Acquisition, analysis, or interpretation of data: Zupa, Vimalananda, Rothenberger, Lin, McCoy, Rosland.
                Drafting of the manuscript: Zupa, Vimalananda, Rothenberger, Lin, Rosland.
                Critical review of the manuscript for important intellectual content: Vimalananda, Rothenberger, Lin, Ng, McCoy, Rosland.
                Statistical analysis: Vimalananda, Rothenberger, Lin.
                Obtained funding: Zupa.
                Administrative, technical, or material support: Zupa.
                Supervision: Ng, Rosland.
                Conflict of Interest Disclosures: Dr Ng reported receiving grants from Sanofi Aventis outside the submitted work. Dr McCoy reported receiving grants from National Institute of Diabetes and Digestive and Kidney Diseases, grants from National Institute on Aging, grants from Patient-Centered Outcomes Research Institute, and personal fees from Emmi for the development of patient education materials about diabetes outside the submitted work. No other disclosures were reported.
                Funding/Support: This work was supported the National Center for Advancing Translational Sciences under award No. KL2TR001856, the National Institutes of Health under award No. UL1 TR001857, the Pittsburgh Foundation, and the Fraternal Order of the Eagles Charity Foundation Diabetes Fund.
                Role of the Funder/Sponsor: The funder 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: A limited version of this analysis was presented at the American Diabetes Association 83rd Annual Scientific Sessions; San Diego, California; June 24, 2023.
                Data Sharing Statement: See Supplement 2.
                Additional Contributions: The authors would like to thank Michael Lain, BA (University of Pittsburgh), for assistance in editing this manuscript. He was not compensated beyond his normal salary for his efforts.
                Article
                zoi231352
                10.1001/jamanetworkopen.2023.46305
                10701613
                38055278
                9e914441-7513-4908-8ccf-ca595bb74ef5
                Copyright 2023 Zupa MF et al. JAMA Network Open.

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

                History
                : 25 July 2023
                : 23 October 2023
                Categories
                Research
                Original Investigation
                Online Only
                Diabetes and Endocrinology

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