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      The Association of Telehealth Availability and Quality of Care Measures for Patients With Diabetes at Federally Qualified Health Centers: Retrospective Cohort Study

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          Diabetes Care and Glycemic Control During the COVID-19 Pandemic in the United States

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            Clinical Improvements by Telemedicine Interventions Managing Type 1 and Type 2 Diabetes: Systematic Meta-review

            Background Diabetes mellitus (DM) is one of the world’s greatest health threats with rising prevalence. Global digitalization leads to new digital approaches in diabetes management, such as telemedical interventions. Telemedicine, which is the use of information and communication technologies, may provide medical services over spatial distances to improve clinical patient outcomes by increasing access to diabetes care and medical information. Objective This study aims to examine whether telemedical interventions effectively improve diabetes control using studies that pooled patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM), and whether the benefits are greater in patients diagnosed with T2DM than in those diagnosed with T1DM. We analyzed the primary outcome glycated hemoglobin A1c (HbA1c) and the secondary outcomes fasting blood glucose (FBG), blood pressure (BP), body weight, BMI, quality of life (QoL), cost, and time saving. Methods Publications were systematically identified by searching Cochrane Library, MEDLINE via PubMed, Web of Science Core Collection, Embase, and CINAHL databases for studies published between January 2008 and April 2020, considering systematic reviews (SRs), meta-analyses (MAs), randomized controlled trials (RCTs), and clinical trials (CTs). Study quality was assessed using the A Measurement Tool to Assess Systematic Reviews, Effective Public Health Practice Project, and National Institute for Health and Care Excellence qualitative checklist. We organized the trials by communication technologies in real-time video or audio interventions, asynchronous interventions, and combined interventions (synchronous and asynchronous communication). Results From 1116 unique citations, we identified 31 eligible studies (n=15 high, n=14 moderate, n=1 weak, and n=1 critically low quality). We selected 21 SRs and MAs, 8 RCTs, 1 non-RCT, and 1 qualitative study. Of the 10 trials, 3 were categorized as real-time video, 1 as real-time video and audio, 4 as asynchronous, and 2 as combined intervention. Significant decline in HbA1c levels based on pooled T1DM and T2DM patients data ranged from −0.22% weighted mean difference (WMD; 95% CI −0.28 to −0.15; P<.001) to −0.64% mean difference (95% CI −1.01 to −0.26; P<.001). The intervention effect on lowering HbA1c values might be significantly smaller for patients with T1DM than for patients with T2DM. Evidence on the impact on BP, body weight, FBG, cost effectiveness, and time saving was smaller compared with HbA1c but indicated potential in some publications. Conclusions Telemedical interventions might be clinically effective in improving diabetes control overall, and they might significantly improve HbA1c concentrations. Patients with T2DM could benefit more than patients with T1DM regarding lowering HbA1c levels. Further studies with longer duration and larger cohorts are necessary.
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              Impact of the COVID‐19 pandemic and lockdown restrictions on psychosocial and behavioural outcomes among Australian adults with type 2 diabetes: Findings from the PREDICT cohort study

              Aim To examine psychosocial and behavioural impacts of the novel coronavirus disease 2019 (COVID‐19) pandemic and lockdown restrictions among adults with type 2 diabetes. Methods Participants enrolled in the PRogrEssion of DIabetic ComplicaTions (PREDICT) cohort study in Melbourne, Australia ( n  = 489 with a baseline assessment pre‐2020) were invited to complete a phone/online follow‐up assessment in mid‐2020 (i.e., amidst COVID‐19 lockdown restrictions). Repeated assessments that were compared with pre‐COVID‐19 baseline levels included anxiety symptoms (7‐item Generalised Anxiety Disorder scale [GAD‐7]), depressive symptoms (8‐item Patient Health Questionnaire [PHQ‐8]), diabetes distress (Problem Areas in Diabetes scale [PAID]), physical activity/sedentary behaviour, alcohol consumption and diabetes self‐management behaviours. Additional once‐off measures at follow‐up included COVID‐19‐specific worry, quality of life (QoL), and healthcare appointment changes (telehealth engagement and appointment cancellations/avoidance). Results Among 470 respondents (96%; aged 66 ± 9 years, 69% men), at least ‘moderate’ worry about COVID‐19 infection was reported by 31%, and 29%–73% reported negative impacts on QoL dimensions (greatest for: leisure activities, feelings about the future, emotional well‐being). Younger participants reported more negative impacts ( p  < 0.05). Overall, anxiety/depressive symptoms were similar at follow‐up compared with pre‐COVID‐19, but diabetes distress reduced ( p  < 0.001). Worse trajectories of anxiety/depressive symptoms were observed among those who reported COVID‐19‐specific worry or negative QoL impacts ( p  < 0.05). Physical activity trended lower (~10%), but sitting time, alcohol consumption and glucose‐monitoring frequency remained unchanged. 73% of participants used telehealth, but 43% cancelled a healthcare appointment and 39% avoided new appointments despite perceived need. Conclusions COVID‐19 lockdown restrictions negatively impacted QoL, some behavioural risk factors and healthcare utilisation in adults with type 2 diabetes. However, generalised anxiety and depressive symptoms remained relatively stable.
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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
                2023
                2 March 2023
                : 25
                : e40827
                Affiliations
                [1 ] Boston University School of Public Health Boston, MA United States
                [2 ] Brown University School of Public Health Providence, RI United States
                [3 ] Ariadne Labs Harvard T H Chan School of Public Health Boston, MA United States
                [4 ] Division of General Internal Medicine & Primary Care Brigham and Women’s Hospital Boston, MA United States
                Author notes
                Corresponding Author: Megan B Cole mbcole@ 123456bu.edu
                Author information
                https://orcid.org/0000-0001-8731-4210
                https://orcid.org/0000-0002-7840-4094
                https://orcid.org/0000-0002-9917-0928
                https://orcid.org/0000-0001-7705-0717
                Article
                v25i1e40827
                10.2196/40827
                10020900
                36862476
                4329bf9f-0ea8-4220-9fab-9547e85f95be
                ©Megan B Cole, Nicholas Jones, Eun Kyung Lee, June-Ho Kim. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 02.03.2023.

                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
                : 6 July 2022
                : 30 November 2022
                : 20 January 2023
                : 31 January 2023
                Categories
                Research Letter
                Research Letter

                Medicine
                telehealth,diabetes,quality of care,primary care,chronic disease,safety net,federally qualified health centers,covid-19

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