ReviewBMC family practice2009
Effectiveness of IT-based diabetes management interventions: a review of the literature.
Review in BMC family practice, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02021591 (Randomized Clinical Trial of Health Information Technology for Problem Solving in Diabetes Management), which is not on this map. Cited by 37 papers, 10 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Randomized Clinical Trial of Health Information Technology for Problem Solving in Diabetes Management
Who cites it
37 citing papers in PubMed, 10 syntheses or guidelines pooled it.
- Mobile health in the management of type 1 diabetes: a systematic review and meta-analysis.BMC endocrine disorders · 2019Pooled it
- Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes.Current diabetes reports · 2018Pooled it
- Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- Do health information technology self-management interventions improve glycemic control in medically underserved adults with diabetes? A systematic review and meta-analysis.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- Impact of Information Technology-Based Interventions for Type 2 Diabetes Mellitus on Glycemic Control: A Systematic Review and Meta-Analysis.Journal of medical Internet research · 2016Pooled it
- T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis.PloS one · 2016Pooled it
- Improving type 1 diabetes management with mobile tools: a systematic review.Journal of diabetes science and technology · 2014Pooled it
- Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus.The Cochrane database of systematic reviews · 2013Pooled it
- Telemedicine application in the care of diabetes patients: systematic review and meta-analysis.PloS one · 2013Pooled it
- Electronic tools for health information exchange: an evidence-based analysis.Ontario health technology assessment series · 2013Pooled it
- Promoting Problem-Solving Among Low-Income Adults With Type 2 Diabetes: Cluster-Randomized Controlled Trial of a Mobile Health Intervention With SMS Text Messaging (Mobile Diabetes Detective).Journal of medical Internet research · 2026Trial
- Randomized Controlled Trial of Technology-Assisted Case Management in Low Income Adults with Type 2 Diabetes.Diabetes technology & therapeutics · 2017Trial
- Health coaching by telephony to support self-care in chronic diseases: clinical outcomes from The TERVA randomized controlled trial.BMC health services research · 2012Trial
- Trial
- Telerehabilitation intervention for type 2 diabetes.World journal of diabetes · 2020Review
- Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes.Current diabetes reports · 2019Review
- Translating/Creating a Culturally Responsive Spanish-Language Mobile App for Visit Preparation: Case Study of "Trans-Creation".JMIR mHealth and uHealth · 2019Article
- How does it work? Factors involved in telemedicine home-interventions effectiveness: A review of reviews.PloS one · 2018Review
- Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review.Journal of medical Internet research · 2017Article
- E-healthcare for Diabetes Mellitus Type 2 Patients - A Randomised Controlled Trial in Slovenia.Zdravstveno varstvo · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInformation technology (IT) is increasingly being used in general practice to manage health care including type 2 diabetes. However, there is conflicting evidence about whether IT improves diabetes outcomes. This review of the literature about IT-based diabetes management interventions explores whether methodological issues such as sample characteristics, outcome measures, and mechanisms causing change in the outcome measures could explain some of the inconsistent findings evident in IT-based diabetes management studies.
methodsDatabases were searched using terms related to IT and diabetes management. Articles eligible for review evaluated an IT-based diabetes management intervention in general practice and were published between 1999 and 2009 inclusive in English. Studies that did not include outcome measures were excluded.
resultsFour hundred and twenty-five articles were identified, sixteen met the inclusion criteria: eleven GP focussed and five patient focused interventions were evaluated. Nine were RCTs, five non-randomised control trials, and two single-sample before and after designs. Important sample characteristics such as diabetes type, familiarity with IT, and baseline diabetes knowledge were not addressed in any of the studies reviewed. All studies used HbA1c as a primary outcome measure, and nine reported a significant improvement in mean HbA1c over the study period; only two studies reported the HbA1c assay method. Five studies measured diabetes medications and two measured psychological outcomes. Patient lifestyle variables were not included in any of the studies reviewed. IT was the intervention method considered to effect changes in the outcome measures. Only two studies mentioned alternative possible causal mechanisms.
conclusionSeveral limitations could affect the outcomes of IT-based diabetes management interventions to an unknown degree. These limitations make it difficult to attribute changes solely to such interventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.