scholarly journals Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques

2017 ◽  
Vol 12 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Aikaterini Kassavou ◽  
Stephen Sutton
Nutrients ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 209
Author(s):  
Mamaru Ayenew Awoke ◽  
Cheryce L. Harrison ◽  
Julie Martin ◽  
Marie L. Misso ◽  
Siew Lim ◽  
...  

Weight gain prevention interventions are likely to be more effective with the inclusion of behaviour change techniques. However, evidence on which behaviour change techniques (BCT) are most effective for preventing weight gain and improving lifestyle (diet and physical activity) is limited, especially in reproductive-aged adults. This meta-analysis and meta-regression aimed to identify BCT associated with changes in weight, energy intake and physical activity in reproductive-aged adults. BCT were identified using the BCT Taxonomy (v1) from each intervention. Meta-regression analyses were used to identify BCT associated with change in weight, energy intake and physical activity. Thirty-four articles were included with twenty-nine articles for the meta-analysis. Forty-three of the ninety-three possible BCT listed in the taxonomy were identified in the included studies. Feedback on behaviour and Graded tasks were significantly associated with less weight gain, and Review behaviour goals was significantly associated with lower energy intake. No individual BCT were significantly associated with physical activity. Our analysis provides further evidence for which BCT are most effective in weight gain prevention interventions. The findings support that the use of key BCT within interventions can contribute to successful weight gain prevention in adults of reproductive age.


BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e018974 ◽  
Author(s):  
Stergiani Tsoli ◽  
Stephen Sutton ◽  
Aikaterini Kassavou

ObjectiveA number of promising automated behaviour change interventions have been developed using advanced phone technology. This paper reviewed the effectiveness of interactive voice response (IVR)-based interventions designed to promote changes in specific health behaviours.MethodsA systematic literature review of papers published between January 1990 and September 2017 in MEDLINE, CINAHL, Embase, PsycINFO, SCOPUS and the Cochrane Central Register of Controlled Trials (CENTRAL) was conducted. From the total of 2546 papers identified, 15 randomised control trials (RCTs) met the eligibility criteria and were included in a random effects meta-analysis. Meta-regression analysis was used to explore whether behaviour change techniques (BCTs) that were used in the interventions were associated with intervention effectiveness.ResultsMeta-analysis of 15 RCTs showed that IVR-based interventions had small but significant effects on promoting medication adherence (OR=1.527, 95% CI 1.207 to 1.932, k=9, p=0.000) and physical activity (Hedges’ g=0.254, 95% CI 0.068 to 0.439, k=3, p=0.007). No effects were found for alcohol (Hedges’ g=−0.077, 95% CI −0.162 to 0.007, k=4, p=0.073) or diet (Hedges’ g=0.130, 95% CI −0.088 to 0.347, k=2, p=0.242). In the medication adherence studies, multivariable meta-regression including six BCTs explained 100% of the observed variance in effect size, but only the BCT ‘information about health consequences’ was significantly associated with effect size (β=0.690, SE=0.199, 95% CI 0.29 to 1.08, p=0.000).ConclusionIVR-based interventions appear promising in changing specific health behaviours, such as medication adherence and physical activity. However, more studies are needed to elucidate further the combination of active components of IVR interventions that make them effective and test their feasibility and effectiveness using robust designs and objective outcome measures.


2019 ◽  
Vol 13 (3) ◽  
pp. 344-372 ◽  
Author(s):  
Angelos P. Kassianos ◽  
Emma Ward ◽  
Antonio Rojas-Garcia ◽  
Allison Kurti ◽  
Fiona C. Mitchell ◽  
...  

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Guillaume Fontaine ◽  
Sylvie Cossette ◽  
Marc-André Maheu-Cadotte ◽  
Marie-France Deschênes ◽  
Geneviève Rouleau ◽  
...  

Abstract Background Practitioner-level implementation interventions such as audit and feedback, communities of practice, and local opinion leaders have shown potential to change nurses’ behaviour in clinical practice and improve patients’ health. However, their effectiveness remains unclear. Moreover, we have a paucity of data regarding the use of theory in implementation studies with nurses, the causal processes—i.e. mechanisms of action—targeted by interventions to change nurses’ behaviour in clinical practice, and the constituent components—i.e. behaviour change techniques—included in interventions. Thus, our objectives are threefold: (1) to examine the effectiveness of practitioner-level implementation interventions in changing nurses’ behaviour in clinical practice; (2) to identify, in included studies, the type and degree of theory use, the mechanisms of action targeted by interventions and the behaviour change techniques constituting interventions and (3) to examine whether intervention effectiveness is associated with the use of theory or with specific mechanisms of action and behaviour change techniques. Methods We will conduct a systematic review based on the Cochrane Effective Practice and Organization of Care (EPOC) Group guidelines. We will search six databases (CINAHL, EMBASE, ERIC, PsycINFO, PubMed and Web of Science) with no time limitation for experimental and quasi-experimental studies that evaluated practitioner-level implementation interventions aiming to change nurses’ behaviour in clinical practice. We will also hand-search reference lists of included studies. We will perform screening, full-text review, risk of bias assessment, and data extraction independently with the Covidence systematic review software. We will assess the quality of evidence using the GRADEpro software. We will code included studies independently for theory use (Theory Coding Scheme), mechanisms of action (coding guidelines from Michie) and behaviour change techniques (Behaviour Change Technique Taxonomy v1) with QSR International’s NVivo qualitative data analysis software. Meta-analyses will be performed using the Review Manager (RevMan) software. Meta-regression analyses will be performed with IBM SPSS Statistics software. Discussion This review will inform knowledge users and researchers interested in designing, developing and evaluating implementation interventions to support nurses’ behaviour change in clinical practice. Results will provide key insights regarding which causal processes—i.e. mechanisms of action—should be targeted by these interventions, and which constituent components—i.e. behaviour change techniques—should be included in these interventions to increase their effectiveness. Systematic review registration The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO; registration number: CRD42019130446).


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