Dataset Information

Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review.

ABSTRACT:

Purpose

To systematically review the Theory of Planned Behaviour studies predicting self-care intentions and behaviours in populations with and at-risk of diabetes.

Methods

A systematic review using six electronic databases was conducted in 2013. A standardised protocol was used for appraisal. Studies eligibility included a measure of behaviour for healthy eating, physical activity, glucose monitoring, medication use (ii) the TPB variables (iii) the TPB tested in populations with diabetes or at-risk.

Results

Sixteen studies were appraised for testing the utility of the TPB. Studies included cross-sectional (n = 7); prospective (n = 5) and randomised control trials (n = 4). Intention (18%-76%) was the most predictive construct for all behaviours. Explained variance for intentions was similar across cross-sectional (28-76%); prospective (28-73%); and RCT studies (18-63%). RCTs (18-43%) provided slightly stronger evidence for predicting behaviour.

Conclusions

Few studies tested predictability of the TPB in populations with or at-risk of diabetes. This review highlighted differences in the predictive utility of the TPB suggesting that the model is behaviour and population specific. Findings on key determinants of specific behaviours contribute to a better understanding of mechanisms of behaviour change and are useful in designing targeted behavioural interventions for different diabetes populations.

SUBMITTER: Akbar H

PROVIDER: S-EPMC4721339 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review.

Akbar Heena H Anderson Debra D Gallegos Danielle D

Preventive medicine reports 20150414

<h4>Purpose</h4>To systematically review the Theory of Planned Behaviour studies predicting self-care intentions and behaviours in populations with and at-risk of diabetes.<h4>Methods</h4>A systematic review using six electronic databases was conducted in 2013. A standardised protocol was used for appraisal. Studies eligibility included a measure of behaviour for healthy eating, physical activity, glucose monitoring, medication use (ii) the TPB variables (iii) the TPB tested in populations with ...[more]

PMID: 26844083

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Project description:IntroductionDiabetes is a major public health problem and prediabetes (intermediate hyperglycaemia) is associated with a high risk of developing diabetes. With evidence supporting the use of preventive interventions for prediabetes populations and the discovery of novel biomarkers stratifying the risk of progression, there is a need to evaluate their cost-effectiveness across jurisdictions. In diabetes and prediabetes, it is relevant to inform cost-effectiveness analysis using decision models due to their ability to forecast long-term health outcomes and costs beyond the time frame of clinical trials. To support good implementation and reimbursement decisions of interventions in these populations, models should be clinically credible, based on best available evidence, reproducible and validated against clinical data. Our aim is to identify recent studies on computer simulation models and model-based economic evaluations of populations of individuals with prediabetes, qualify them and discuss the knowledge gaps, challenges and opportunities that need to be addressed for future evaluations.Methods and analysisA systematic review will be conducted in MEDLINE, Embase, EconLit and National Health Service Economic Evaluation Database. We will extract peer-reviewed studies published between 2000 and 2016 that describe computer simulation models of the natural history of individuals with prediabetes and/or decision models to evaluate the impact of interventions, risk stratification and/or screening on these populations. Two reviewers will independently assess each study for inclusion. Data will be extracted using a predefined pro forma developed using best practice. Study quality will be assessed using a modelling checklist. A narrative synthesis of all studies will be presented, focussing on model structure, quality of models and input data, and validation status.Ethics and disseminationThis systematic review is exempt from ethics approval because the work is carried out on published documents. The findings of the review will be disseminated in a related peer-reviewed journal and presented at conferences.Reviewregistration numberCRD42016047228.

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Dataset Information

Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review.

Purpose

Methods

Results

Conclusions

Publications

Predicting intentions and behaviours in populations with or at-risk of diabetes: A systematic review.

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