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Interactive voice response interventions targeting behaviour change: a systematic literature review

cam.issuedOnline2018-11-21
cam.orpheus.successThu Jan 30 10:53:21 GMT 2020 - The item has an open VoR version.
dc.contributor.authorKassavou, A
dc.contributor.authorSutton, Stephen
dc.contributor.orcidKassavou, Aikaterini [0000-0002-6562-4143]
dc.contributor.orcidSutton, Stephen [0000-0003-1610-0404]
dc.date.accessioned2019-01-22T00:31:29Z
dc.date.available2019-01-22T00:31:29Z
dc.date.issued2018
dc.description.abstractBackground: A 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. Methods: A 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 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. Results: Meta-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). Conclusions: IVR-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.
dc.identifier.doi10.17863/CAM.35638
dc.identifier.eissn1464-360X
dc.identifier.issn1464-360X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288322
dc.language.isoeng
dc.publisherOxford University Press
dc.publisher.urlhttp://dx.doi.org/10.1093/eurpub/cky213.167
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject4202 Epidemiology
dc.subject4203 Health Services and Systems
dc.subject4206 Public Health
dc.subject42 Health Sciences
dc.titleInteractive voice response interventions targeting behaviour change: a systematic literature review
dc.typeArticle
dcterms.dateAccepted2018-11-20
prism.publicationNameEuropean Journal of Public Health
pubs.funder-project-idNational Institute for Health Research (NIHR) (via University of Oxford) (293)
rioxxterms.licenseref.startdate2018-11-20
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1093/eurpub/cky213.167

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