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      Optimizing Telehealth for Diabetes Management in the Deep South of the United States: Qualitative Study of Barriers and Facilitators on the Patient and Clinician Journey

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          Abstract

          Background

          The Deep South of the United States, and Louisiana in particular, bears a greater burden of obesity, diabetes, and heart disease compared with other regions in the United States. Throughout the COVID-19 pandemic, there has been a substantial increase in telehealth visits for diabetes management to protect the safety of patients. Although there have been significant advancements in telehealth and chronic disease management, little is known about patient and provider perspectives on the challenges and benefits of telehealth visits among people living with diabetes and providers who care for patients with diabetes in Louisiana.

          Objective

          This study aimed to explore barriers, facilitators, challenges, and benefits to telehealth for patients with diabetes and health care providers as they transitioned from in-person to remote care during the early COVID-19 pandemic to understand potential optimization.

          Methods

          A total of 24 semistructured qualitative interviews were conducted with 18 patients living with diabetes and 6 clinicians who served patients with diabetes to explore their experiences and perceptions of telehealth services for diabetes care. Approximately half of the participants identified as Black or African American, half as White, and 75% as female. Interviews were recorded, transcribed, and coded by experienced qualitative researchers using inductive and deductive techniques. A narrative, descriptive approach to the patient and clinician journey framed the study, including the development of internal journey maps, and reflexive thematic analysis was applied to the transcripts, with special attention to barriers and facilitators.

          Results

          In total, 5 themes illustrated barriers and facilitators for participants: convenience, safety, and comfort are the benefits of telehealth for patients and clinicians; yet telehealth and in-person visits are valued differently; the convenience of telehealth may have a downside; technology acts as a double-edged sword; and managing expectations and efficiency of the visit experience was an important factor. Individual experiences varied in relation to several factors, including comfort level and access to technology, health system protocols for providing telemedicine, and level of diabetes control among patients.

          Conclusions

          Recommendations for optimization include providing support to help guide and inform patients about what to expect and how to prepare for telehealth visits as well as allowing clinicians to schedule telehealth and in-person visits during discrete blocks of time to improve efficiency. Further research should address how hybrid models of telehealth and in-person care may differentially impact health outcomes for patients with diabetes, particularly for people with multiple chronic conditions in settings where access to technology and connectivity is not optimal.

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          Most cited references44

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          Using thematic analysis in psychology

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            Standards for reporting qualitative research: a synthesis of recommendations.

            Standards for reporting exist for many types of quantitative research, but currently none exist for the broad spectrum of qualitative research. The purpose of the present study was to formulate and define standards for reporting qualitative research while preserving the requisite flexibility to accommodate various paradigms, approaches, and methods.
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              Hospitalization and Mortality among Black Patients and White Patients with Covid-19

              Abstract Background Many reports on coronavirus disease 2019 (Covid-19) have highlighted age- and sex-related differences in health outcomes. More information is needed about racial and ethnic differences in outcomes from Covid-19. Methods In this retrospective cohort study, we analyzed data from patients seen within an integrated-delivery health system (Ochsner Health) in Louisiana between March 1 and April 11, 2020, who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, the virus that causes Covid-19) on qualitative polymerase-chain-reaction assay. The Ochsner Health population is 31% black non-Hispanic and 65% white non-Hispanic. The primary outcomes were hospitalization and in-hospital death. Results A total of 3626 patients tested positive, of whom 145 were excluded (84 had missing data on race or ethnic group, 9 were Hispanic, and 52 were Asian or of another race or ethnic group). Of the 3481 Covid-19–positive patients included in our analyses, 60.0% were female, 70.4% were black non-Hispanic, and 29.6% were white non-Hispanic. Black patients had higher prevalences of obesity, diabetes, hypertension, and chronic kidney disease than white patients. A total of 39.7% of Covid-19–positive patients (1382 patients) were hospitalized, 76.9% of whom were black. In multivariable analyses, black race, increasing age, a higher score on the Charlson Comorbidity Index (indicating a greater burden of illness), public insurance (Medicare or Medicaid), residence in a low-income area, and obesity were associated with increased odds of hospital admission. Among the 326 patients who died from Covid-19, 70.6% were black. In adjusted time-to-event analyses, variables that were associated with higher in-hospital mortality were increasing age and presentation with an elevated respiratory rate; elevated levels of venous lactate, creatinine, or procalcitonin; or low platelet or lymphocyte counts. However, black race was not independently associated with higher mortality (hazard ratio for death vs. white race, 0.89; 95% confidence interval, 0.68 to 1.17). Conclusions In a large cohort in Louisiana, 76.9% of the patients who were hospitalized with Covid-19 and 70.6% of those who died were black, whereas blacks comprise only 31% of the Ochsner Health population. Black race was not associated with higher in-hospital mortality than white race, after adjustment for differences in sociodemographic and clinical characteristics on admission.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2024
                1 January 2024
                : 26
                : e43583
                Affiliations
                [1 ] Department of Social, Behavioral, and Population Sciences Tulane University School of Public Health and Tropical Medicine New Orleans, LA United States
                [2 ] Louisiana Public Health Institute New Orleans, LA United States
                [3 ] Public Health Innovation and Action New York, NY United States
                [4 ] Department of Health Policy and Management Tulane University School of Public Health and Tropical Medicine New Orleans, LA United States
                Author notes
                Corresponding Author: Alessandra N Bazzano abazzano@ 123456tulane.edu
                Author information
                https://orcid.org/0000-0002-8299-2626
                https://orcid.org/0000-0001-7495-9220
                https://orcid.org/0009-0008-8092-7071
                https://orcid.org/0000-0002-0214-0328
                https://orcid.org/0000-0002-7827-6766
                Article
                v26i1e43583
                10.2196/43583
                10790202
                37976468
                3a0a64fb-918c-4279-bcbd-f766e00cc36c
                ©Alessandra N Bazzano, Tejal Patel, Elizabeth Nauman, Dana Cernigliaro, Lizheng Shi. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 01.01.2024.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 24 October 2022
                : 24 December 2022
                : 1 March 2023
                : 17 November 2023
                Categories
                Original Paper
                Original Paper

                Medicine
                telemedicine,diabetes mellitus,chronic disease,patient participation,delivery of health care,covid-19,mobile phone

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