Literature DB >> 33605889

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

Claudia Eberle1, Stefanie Stichling1.   

Abstract

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. ©Claudia Eberle, Stefanie Stichling. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.02.2021.

Entities:  

Keywords:  disease management; eHealth; mobile phone; systematic review; telemedicine; type 1 diabetes; type 2 diabetes

Year:  2021        PMID: 33605889      PMCID: PMC7935656          DOI: 10.2196/23244

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  38 in total

1.  Impact and duration effect of telemonitoring on ΗbA1c, BMI and cost in insulin-treated Diabetes Mellitus patients with inadequate glycemic control: A randomized controlled study.

Authors:  Stelios Fountoulakis; Labrini Papanastasiou; Alexandros Gryparis; Athina Markou; George Piaditis
Journal:  Hormones (Athens)       Date:  2015 Oct-Dec       Impact factor: 2.885

2.  Mobile telemonitoring for achieving tighter targets of blood pressure control in patients with complicated diabetes: a pilot study.

Authors:  Kenneth A Earle; Robert S H Istepanian; Karima Zitouni; Ala Sungoor; Bee Tang
Journal:  Diabetes Technol Ther       Date:  2010-07       Impact factor: 6.118

Review 3.  Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials.

Authors:  Dejun Su; Junmin Zhou; Megan S Kelley; Tzeyu L Michaud; Mohammad Siahpush; Jungyoon Kim; Fernando Wilson; Jim P Stimpson; José A Pagán
Journal:  Diabetes Res Clin Pract       Date:  2016-04-26       Impact factor: 5.602

Review 4.  Telemedicine Cost-Effectiveness for Diabetes Management: A Systematic Review.

Authors:  Jun Yang Lee; Shaun Wen Huey Lee
Journal:  Diabetes Technol Ther       Date:  2018-05-29       Impact factor: 6.118

Review 5.  Online social networking services in the management of patients with diabetes mellitus: systematic review and meta-analysis of randomised controlled trials.

Authors:  Tania Toma; Thanos Athanasiou; Leanne Harling; Ara Darzi; Hutan Ashrafian
Journal:  Diabetes Res Clin Pract       Date:  2014-06-21       Impact factor: 5.602

Review 6.  Telehealth for diabetes self-management in primary healthcare: A systematic review and meta-analysis.

Authors:  Chi F So; Joanne Wy Chung
Journal:  J Telemed Telecare       Date:  2017-05-02       Impact factor: 6.184

Review 7.  Home telehealth for diabetes management: a systematic review and meta-analysis.

Authors:  J Polisena; K Tran; K Cimon; B Hutton; S McGill; K Palmer
Journal:  Diabetes Obes Metab       Date:  2009-06-16       Impact factor: 6.577

8.  Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes.

Authors:  Robert S H Istepanian; Karima Zitouni; Diane Harry; Niva Moutosammy; Ala Sungoor; Bee Tang; Kenneth A Earle
Journal:  J Telemed Telecare       Date:  2009       Impact factor: 6.184

Review 9.  2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2020.

Authors: 
Journal:  Diabetes Care       Date:  2020-01       Impact factor: 19.112

Review 10.  Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer.

Authors:  Peter Hanlon; Luke Daines; Christine Campbell; Brian McKinstry; David Weller; Hilary Pinnock
Journal:  J Med Internet Res       Date:  2017-05-17       Impact factor: 5.428

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  10 in total

1.  Challenges and Opportunities in Using Telehealth for Diabetes Care.

Authors:  Stephanie S Crossen; Brittany S Bruggeman; Michael J Haller; Jennifer K Raymond
Journal:  Diabetes Spectr       Date:  2022-02-08

2.  Anthropometric Measurements and Laboratory Investigations in Children and Youth With Type 1 Diabetes Before and During the COVID-19 Pandemic.

Authors:  Carolina Silva; Qian Zhang; Jeffrey N Bone; Shazhan Amed
Journal:  Can J Diabetes       Date:  2022-04-14       Impact factor: 2.774

3.  Digital Connectivity: The Sixth Vital Sign.

Authors:  David C Klonoff; Trisha Shang; Jennifer Y Zhang; Eda Cengiz; Chhavi Mehta; David Kerr
Journal:  J Diabetes Sci Technol       Date:  2021-05-12

Review 4.  A Meta-Analysis of the Effectiveness of Telemedicine in Glycemic Management among Patients with Type 2 Diabetes in Primary Care.

Authors:  Anqi Zhang; Jinsong Wang; Xiaojuan Wan; Ziyi Zhang; Shuhan Zhao; Zihe Guo; Chufan Wang
Journal:  Int J Environ Res Public Health       Date:  2022-03-31       Impact factor: 3.390

5.  Video Consultation Versus In-Person Clinic Visit for Glycemic Control in Type 2 Diabetes during COVID-19 Pandemic (VIP-CD Study).

Authors:  Aditya Dutta; Shama Mahendru; Rutuja Sharma; Anshu Singh; Anjali Jain; Ganesh Jevalikar; Ambrish Mithal
Journal:  Indian J Endocrinol Metab       Date:  2022-01-12

6.  Patient Perspectives on Use of Video Telemedicine for Type 1 Diabetes Care in the United States during the COVID-19 Pandemic.

Authors:  Stephanie S Crossen; Crystal C Romero; Lindsey A Loomba; Nicole S Glaser
Journal:  Endocrines       Date:  2021-11-01

7.  Identification and Experimental Validation of Marker Genes between Diabetes and Alzheimer's Disease.

Authors:  Cheng Huang; Xueyi Wen; Hesong Xie; Di Hu; Keshen Li
Journal:  Oxid Med Cell Longev       Date:  2022-08-12       Impact factor: 7.310

8.  The Prevalence of Teleophthalmology in the Piedmont Region of Italy: Current Situation and Future Perspectives.

Authors:  Raffaele Nuzzi; Floriana Deraco; Simona Scalabrin
Journal:  Int J Environ Res Public Health       Date:  2022-07-15       Impact factor: 4.614

9.  Reversing Type 2 Diabetes in a Primary Care-Anchored eHealth Lifestyle Coaching Programme in Denmark: A Randomised Controlled Trial.

Authors:  Jeanette Reffstrup Christensen; Ditte Hjorth Laursen; Jørgen Trankjær Lauridsen; Laura Hesseldal; Pernille Ravn Jakobsen; Jesper Bo Nielsen; Jens Søndergaard; Carl J Brandt
Journal:  Nutrients       Date:  2022-08-19       Impact factor: 6.706

10.  Long-term Weight Loss in a Primary Care-Anchored eHealth Lifestyle Coaching Program: Randomized Controlled Trial.

Authors:  Laura Hesseldal; Jeanette Reffstrup Christensen; Thomas Bastholm Olesen; Michael Hecht Olsen; Pernille Ravn Jakobsen; Ditte Hjorth Laursen; Jørgen Trankjær Lauridsen; Jesper Bo Nielsen; Jens Søndergaard; Carl Joakim Brandt
Journal:  J Med Internet Res       Date:  2022-09-23       Impact factor: 7.076

  10 in total

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