Cited by 49Diabetes Management and ResearchDiabetes Management and EducationMobile Health and mHealth Applications

Meta-Analysis of the Effect of the Use of Computer-Based Systems on the Metabolic Control of Patients with Diabetes Mellitus

Montani, Stefania, Bellazzi, Riccardo, Quaglini, Silvana, D'Annunzio, Giuseppe·2001·Diabetes Technology & Therapeutics

Abstract

The purpose of this study was to evaluate, through a meta-analysis study, whether the use of computer-based systems reported in the literature improves the metabolic control of diabetic patients. On the retrieved papers, a set of meta-analysis studies were performed: first the difference of HbA1c between cases and controls at follow-up was evaluated (sign test); then the difference between cases and controls in the total variation of HbA1c from the beginning to the end of the trial was considered (method of effect sizes). The latter methodology was reapplied also on three more homogeneous article subgroups. The sign test was performed on 16 papers: in two of them, the HbA1c level was higher in the intervention group than in the control group at follow-up: it is unlikely that this is a random occurrence (p < 0.01). The method of effect sizes was first applied to 13 papers, as in the others some needed data were missing: the results obtained showed a statistically significant amelioration of metabolic control in the intervention group in comparison to the control group (p < 0.01). A progressive reinforcement of this outcome was obtained on the trial subgroups. Our study supports the hypothesis that the use of computer-based systems can be an effective means of improving metabolic control. The differential benefit obtained in the amelioration of HbA1c does not justify, by itself, the applicability of such systems into clinical practice; additional investigations should be carried out to evaluate the enhancement of other clinical and organizational indicators.

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Crossref · 10.1089/15209150152607123

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In Type 2 diabetes, there were small but statistically significant pooled decreases in HbA1c of −0.6% and a weighted mean difference of −0.2% (95% CI −0.4 to −0.1).

    “Type 2 diabetes (−0.6% in HbA1c [39]), (weighted mean difference, −0.2%, 95% C.I. −0.4 to −0.1 [41])”
  • In diabetes, one review found benefits to quality of life, self-efficacy and social advantages.

    “In diabetes, one review found benefits to quality of life, self-efficacy and social advantages [39], whereas another reported that quality of life was similar in the intervention arm to the usual care arm [41].”

Authors
Montani, S., Bellazzi, R., Quaglini, S., & D'Annunzio, G.
Affiliations
  • Dipartimento di Informatica e Sistemistica, Università di Pavia, Pavia, Italy; stefania@aim.unipv.it
  • University of Pavia (IT)
  • I.R.C.C.S. Policlinico S. Matteo, Pavia, Italy
Venue
Diabetes Technology & Therapeutics
Published
2001-09
Volume
3
Issue
3
Pages
347-356
ISSN
  • 1520-9156 (ISSN-L)
  • 1557-8593
OpenAlex
W1974626424
Cited by
49
References
0
Citations by year
2021: 2 · 2019: 1 · 2018: 1 · 2016: 3 · 2015: 2 · 2014: 2 · 2013: 5 · 2012: 1
FWCI
0.48
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Technology & Therapeutics (publishedVersion)
  • PubMed (publishedVersion)
Funders
European Commission
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
computational systems, diabetes mellitus, metabolic control, glycemic control, HbA1c, diabetes technology
MeSH terms
Algorithms, Diabetes Mellitus, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Drug Therapy, Computer-Assisted, Glycated Hemoglobin, Humans, MEDLINE, Treatment Outcome, Telemedicine, Decision Support Systems, Clinical

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