Evidence mapPaperPMID 29478016Full record

SynthesisBMJ open2018

Interactive voice response interventions targeting behaviour change: a systematic literature review with meta-analysis and meta-regression.

Stergiani Tsoli, Stephen Sutton, Aikaterini Kassavou

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stergiani TsoliDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK.ORCID 0000-0003-1975-7321
Stephen SuttonPrimary Care Unit, Behavioural Science Group, Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Aikaterini KassavouPrimary Care Unit, Behavioural Science Group, Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6562-4143

Funding

Medical Research Council
6 · The paper itself

Abstract

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.

Indexed as

Speech Recognition SoftwareBehavior TherapyDiet, HealthyExerciseHealth BehaviorHealth PromotionHumansMedication AdherenceRandomized Controlled Trials as TopicReminder SystemsTelephoneUser-Computer Interfacebehaviour changeinteractive voice responsesystematic review

Identifiers

PMID29478016
PMCPMC5855236

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.