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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jul 6, 2023
Date Accepted: Dec 17, 2023

The final, peer-reviewed published version of this preprint can be found here:

The Effectiveness of Digital Health Lifestyle Interventions on People With Prediabetes: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression

Holm TF, Udsen FW, Færch K, Jensen MH, von Scholten BJ, Hejlesen O, Hangaard S

The Effectiveness of Digital Health Lifestyle Interventions on People With Prediabetes: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression

JMIR Res Protoc 2024;13:e50340

DOI: 10.2196/50340

PMID: 38335018

PMCID: 10891485

The Effectiveness of Digital Health Lifestyle Interventions on People with Prediabetes: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression

  • Tanja Fredensborg Holm; 
  • Flemming Witt Udsen; 
  • Kristine Færch; 
  • Morten Hasselstrøm Jensen; 
  • Bernt Johan von Scholten; 
  • Ole Hejlesen; 
  • Stine Hangaard

ABSTRACT

Background:

There has been an increasing interest in the use of digital health lifestyle interventions for people with prediabetes, as these interventions may offer a scalable approach to preventing type 2 diabetes (T2D). Prior systematic reviews on digital health lifestyle interventions for people with prediabetes had limitations, such as a narrow focus on certain types of interventions, a lack of statistical pooling, and no broader subgroup analysis of intervention characteristics. The identified limitations observed in prior systematic reviews substantiate the necessity of conducting a comprehensive review to address these gaps within the field. This will enable a comprehensive understanding of the effectiveness of digital health lifestyle interventions for people with prediabetes.

Objective:

The objective of this systematic review, meta-analysis, and meta-regression is to systematically investigate the effectiveness of digital health lifestyle interventions on prediabetes-related outcomes in comparison with any comparator without a digital component among adults with prediabetes.

Methods:

This systematic review will include randomized controlled trials that investigate the effectiveness of digital health lifestyle interventions on adults (≥18 years) with a diagnosis of prediabetes and compare the digital interventions with non-digital interventions. The primary outcome will be change in body weight (kilograms). Secondary outcomes include, among others, change in glycemic status, makers of cardiometabolic health, feasibility outcomes, and incidence of T2D. EMBASE, PubMed, CINAHL, and Cochrane Central Register of Controlled Trials (CENTRAL) will be systematically searched. The data items that will be extracted include study characteristics, participant characteristics, intervention characteristics, and relevant outcomes. To estimate the overall effect size, a meta-analysis will be conducted using the mean difference. The Cochrane Risk of Bias Tool will be applied to assess study quality, and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach will be used to assess the certainty of evidence.

Results:

The results are projected to yield an overall estimate of the effectiveness of digital health lifestyle interventions on adults with prediabetes and elucidate the characteristics that contribute to their effectiveness.

Conclusions:

The insights gained from this study may help clarify the potential of digital health lifestyle interventions for people with prediabetes and guide the decision-making regarding future intervention components. Clinical Trial: International Prospective Register of Systematic Reviews (PROSPERO); registration number is pending.


 Citation

Please cite as:

Holm TF, Udsen FW, Færch K, Jensen MH, von Scholten BJ, Hejlesen O, Hangaard S

The Effectiveness of Digital Health Lifestyle Interventions on People With Prediabetes: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression

JMIR Res Protoc 2024;13:e50340

DOI: 10.2196/50340

PMID: 38335018

PMCID: 10891485

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