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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Feb 24, 2023
Open Peer Review Period: Feb 24, 2023 - Apr 21, 2023
Date Accepted: Aug 25, 2023
(closed for review but you can still tweet)

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

Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis

Hao L, Goetze S, Alessa T, Hawley M

Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis

J Med Internet Res 2023;25:e46622

DOI: 10.2196/46622

PMID: 37792469

PMCID: 10585448

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Effectiveness of computer tailored health communication in increasing physical activity in people with or at risk of long-term conditions: systematic review and meta-analysis

  • Longdan Hao; 
  • Stefan Goetze; 
  • Tourkiah Alessa; 
  • Mark Hawley

ABSTRACT

Background:

Computer-tailored health communication (CTHC) has been shown to be effective for the general population in increasing physical activity (PA) and many other health behaviour changes. However, CTHC studies on behaviour change for people with long-term conditions are still comparatively limited.

Objective:

This systematic review and meta-analysis aimed to assess evidence of CTHC effectiveness for people with or at risk of long-term conditions.

Methods:

A systematic review and meta-analysis was carried out to evaluate the effect of CTHC in increasing PA for people with or at risk of long-term conditions. Hedge’s g was used to calculate mean effect size. Total effect size was pooled and weighted by inverse-variance (IV). When possible, potential moderator variables were synthesised and their effectiveness was evaluated by subgroups analysis with Q-test for between group heterogeneity Q_b. Potential moderator variables included the behaviour change theories and models providing the fundamental logic on CTHC design, behaviour change techniques and tailoring strategies to compose messages, as well as computer algorithms to achieve tailoring.

Results:

In total 24 studies were included in the systematic review, and 18 studies were included in the meta-analysis. Significant small to medium effect size values were found when comparing CTHC to general health information (g = 0.16, P = 0.0006) and to no information sent to patients (g = 0.29, P = 0.0001 ). Half of the included studies had low to moderate risk of bias, and the remained studies had moderate to high risk of bias. Message tailoring strategies, implementation strategies, behaviour change theories and models applied, as well as behaviour change techniques were synthesized from the studies. No strong evidence was found from subgroup analyses on the effectiveness of using particular behaviour change theories and models, nor from using particular message tailoring and implementation strategies.

Conclusions:

This study demonstrates that CTHC is effective in increasing physical activity for people with or at risk of long-term conditions with significant small to medium effects compared to general health information or no information. More CTHC studies are needed to guide design decisions for maximising the effectiveness of CTHC.


 Citation

Please cite as:

Hao L, Goetze S, Alessa T, Hawley M

Effectiveness of Computer-Tailored Health Communication in Increasing Physical Activity in People With or at Risk of Long-Term Conditions: Systematic Review and Meta-Analysis

J Med Internet Res 2023;25:e46622

DOI: 10.2196/46622

PMID: 37792469

PMCID: 10585448

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