Literature DB >> 24876591

Telehealth Remote Monitoring Systematic Review: Structured Self-monitoring of Blood Glucose and Impact on A1C.

Deborah A Greenwood1, Heather M Young2, Charlene C Quinn3.   

Abstract

The aim was to summarize research on telehealth remote patient monitoring interventions that incorporate key elements of structured self-monitoring of blood glucose (SMBG) identified as essential for improving A1C. A systematic review was conducted using the Medline, Cumulative Index to Nursing and Allied Health Literature, EMBASE, and OVID Medline databases with search terms "Telemedicine" AND "Monitoring, Physiologic" AND "Diabetes Mellitus, Type 2." Study selection criteria included original randomized clinical trials evaluating the impact of telehealth remote patient monitoring on A1C among adults with type 2 diabetes and incorporated 1 or more essential elements of SMBG identified by the International Diabetes Federation (patient education, provider education, structured SMBG profile, SMBG goals, feedback, data used to modify treatment, interactive communication or shared decision making). Fifteen studies were included, with interventions ranging from 3 to 12 months (mean 8 months) with sample sizes from 30 to 1665. Key SMBG elements were grouped into 3 categories: education, SMBG protocols, and feedback. Research incorporating 5 of the 7 elements consistently achieved significant A1C improvements between study groups. Interventions using more SMBG elements are associated with an improvement in A1C. Studies with the largest A1C decrease incorporated 6 of the 7 elements and computer decision support. Two studies with 5 of the 7 elements and active medication management achieved significant A1C decreases. Telehealth remote patient monitoring interventions in type 2 diabetes have not included all structured monitoring elements recommended by the IDF. Incorporating more elements of structured SMBG is associated with improved A1C.
© 2014 Diabetes Technology Society.

Entities:  

Keywords:  A1C; diabetes; diabetes self-management education; remote patient monitoring; self-monitoring of blood glucose; telehealth

Year:  2014        PMID: 24876591      PMCID: PMC4455426          DOI: 10.1177/1932296813519311

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  45 in total

1.  Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control.

Authors:  Susan L Norris; Joseph Lau; S Jay Smith; Christopher H Schmid; Michael M Engelgau
Journal:  Diabetes Care       Date:  2002-07       Impact factor: 19.112

2.  Benefits of self-monitoring blood glucose in the management of new-onset Type 2 diabetes mellitus: the St Carlos Study, a prospective randomized clinic-based interventional study with parallel groups.

Authors:  Alejandra Durán; Patricia Martín; Isabelle Runkle; Natalia Pérez; Rosario Abad; Mercedes Fernández; Laura Del Valle; Maria Fuencisla Sanz; Alfonso Luis Calle-Pascual
Journal:  J Diabetes       Date:  2010-09       Impact factor: 4.006

3.  Impact of a nurse short message service intervention for patients with diabetes.

Authors:  Hee-Seung Kim; Nam-Cho Kim; Sung-Hee Ahn
Journal:  J Nurs Care Qual       Date:  2006 Jul-Sep       Impact factor: 1.597

Review 4.  Computerized prompting and feedback of diabetes care: a review of the literature.

Authors:  Suzanne Austin Boren; Aaron M Puchbauer; Faustine Williams
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

5.  Effectiveness of the diabetes education and self management for ongoing and newly diagnosed (DESMOND) programme for people with newly diagnosed type 2 diabetes: cluster randomised controlled trial.

Authors:  M J Davies; S Heller; T C Skinner; M J Campbell; M E Carey; S Cradock; H M Dallosso; H Daly; Y Doherty; S Eaton; C Fox; L Oliver; K Rantell; G Rayman; K Khunti
Journal:  BMJ       Date:  2008-02-14

Review 6.  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

Review 7.  Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved.

Authors:  Holly Jimison; Paul Gorman; Susan Woods; Peggy Nygren; Miranda Walker; Susan Norris; William Hersh
Journal:  Evid Rep Technol Assess (Full Rep)       Date:  2008-11

8.  A randomized trial comparing telemedicine case management with usual care in older, ethnically diverse, medically underserved patients with diabetes mellitus: 5 year results of the IDEATel study.

Authors:  Steven Shea; Ruth S Weinstock; Jeanne A Teresi; Walter Palmas; Justin Starren; James J Cimino; Albert M Lai; Lesley Field; Philip C Morin; Robin Goland; Roberto E Izquierdo; Susana Ebner; Stephanie Silver; Eva Petkova; Jian Kong; Joseph P Eimicke
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

9.  Care Coordination/Home Telehealth: the systematic implementation of health informatics, home telehealth, and disease management to support the care of veteran patients with chronic conditions.

Authors:  Adam Darkins; Patricia Ryan; Rita Kobb; Linda Foster; Ellen Edmonson; Bonnie Wakefield; Anne E Lancaster
Journal:  Telemed J E Health       Date:  2008-12       Impact factor: 3.536

10.  Web-based collaborative care for type 2 diabetes: a pilot randomized trial.

Authors:  James D Ralston; Irl B Hirsch; James Hoath; Mary Mullen; Allen Cheadle; Harold I Goldberg
Journal:  Diabetes Care       Date:  2008-11-18       Impact factor: 17.152

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  20 in total

1.  Technology to overcome therapeutic inertia.

Authors:  Deborah A Greenwood; Malinda Peeples
Journal:  Mhealth       Date:  2019-01-08

Review 2.  Evidence-based Mobile Medical Applications in Diabetes.

Authors:  Andjela Drincic; Priya Prahalad; Deborah Greenwood; David C Klonoff
Journal:  Endocrinol Metab Clin North Am       Date:  2016-10-08       Impact factor: 4.741

3.  Primary Care Clinic Nurse Activities with a Telehealth Monitoring System.

Authors:  Chelsea Howland; Laurel Despins; Jeri Sindt; Bonnie Wakefield; David R Mehr
Journal:  West J Nurs Res       Date:  2020-05-22       Impact factor: 1.967

4.  Mobile technology for self-monitoring of blood glucose among patients with type 2 diabetes mellitus.

Authors:  Steven S Coughlin
Journal:  Mhealth       Date:  2017-10-30

5.  More than A1C: Types of success among adults with type-2 diabetes participating in a technology-enabled nurse coaching intervention.

Authors:  Sarina Fazio; Jennifer Edwards; Sheridan Miyamoto; Stuart Henderson; Madan Dharmar; Heather M Young
Journal:  Patient Educ Couns       Date:  2018-08-23

6.  Dulce Digital: An mHealth SMS-Based Intervention Improves Glycemic Control in Hispanics With Type 2 Diabetes.

Authors:  Addie L Fortmann; Linda C Gallo; Maria Isabel Garcia; Mariam Taleb; Johanna A Euyoque; Taylor Clark; Jessica Skidmore; Monica Ruiz; Sapna Dharkar-Surber; James Schultz; Athena Philis-Tsimikas
Journal:  Diabetes Care       Date:  2017-06-09       Impact factor: 19.112

Review 7.  A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support.

Authors:  Deborah A Greenwood; Perry M Gee; Kathy J Fatkin; Malinda Peeples
Journal:  J Diabetes Sci Technol       Date:  2017-05-31

8.  Improvements in physical activity and some dietary behaviors in a community health worker-led diabetes self-management intervention for adults with low incomes: results from a randomized controlled trial.

Authors:  Kristen E Gray; Katherine D Hoerster; Leslie Taylor; James Krieger; Karin M Nelson
Journal:  Transl Behav Med       Date:  2021-12-14       Impact factor: 3.626

9.  Overcoming Clinical Inertia: A Randomized Clinical Trial of a Telehealth Remote Monitoring Intervention Using Paired Glucose Testing in Adults With Type 2 Diabetes.

Authors:  Deborah A Greenwood; Shelley A Blozis; Heather M Young; Thomas S Nesbitt; Charlene C Quinn
Journal:  J Med Internet Res       Date:  2015-07-21       Impact factor: 5.428

10.  The eHealth Enhanced Chronic Care Model: a theory derivation approach.

Authors:  Perry M Gee; Deborah A Greenwood; Debora A Paterniti; Deborah Ward; Lisa M Soederberg Miller
Journal:  J Med Internet Res       Date:  2015-04-01       Impact factor: 5.428

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