Evidence map›Paper›PMID 30927357›Full record

ArticleTranslational behavioral medicine2020

A self-report measure of engagement with digital behavior change interventions (DBCIs): development and psychometric evaluation of the "DBCI Engagement Scale".

Olga Perski, Ann Blandford, Claire Garnett, David Crane, Robert West, Susan Michie

2 registry-linked trialsAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 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.

NCT04830761 nacompletednot on this mapstarted 2021, after this paper: background citation

Behaviour Change in Context to Contain the Spread of COVID-19

TypeinterventionalSponsorUniversity of BernRan2021 to 2023Enrolled425ConditionsHand HygieneArmsMotivation, Habit, Social
NCT05867511 nacompletednot on this mapstarted 2022, after this paper: background citation

A Pilot Feasibility Study to Promote Physical Activity Motivation in Cardiovascular Disease Patients

TypeinterventionalSponsorClaudio NiggRan2022 to 2023Enrolled19ConditionsCardiovascular DiseasesArmsiPAL App
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Commitment to Self-Tracking Among Wearable-Device Users: Validation of the C2ST Scale and Known-Groups Evidence.European journal of investigation in health, psychology and education · 2026
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  15. Evaluating the SEND eHealth Application to Improve Patients' Secure Message Writing.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
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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

6 authors.

Olga PerskiDepartment of Clinical, Educational and Health Psychology, University College London, London, UK.
Ann BlandfordUCL Interaction Centre, University College London, London, UK.
Claire GarnettDepartment of Behavioural Science and Health, University College London, London, UK.
David CraneDepartment of Clinical, Educational and Health Psychology, University College London, London, UK.
Robert WestDepartment of Behavioural Science and Health, University College London, London, UK.
Susan MichieDepartment of Clinical, Educational and Health Psychology, University College London, London, UK.

Funding

Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

Engagement with digital behavior change interventions (DBCIs) is a potentially important mediator of effectiveness; however, we lack validated measures of engagement. This study describes (a) the development of a self-report scale that captures the purported behavioral and experiential facets of engagement and (b) the evaluation of its validity in a real-world setting. A deductive approach to item generation was taken. The sample consisted of adults in the UK who drink excessively, downloaded the freely available Drink Less app with the intention to reduce alcohol consumption, and completed the scale immediately after their first login. Five types of validity (i.e., construct, criterion, predictive, incremental, divergent) were examined using exploratory factor analysis, correlational analyses, and through regressing the number of subsequent logins in the next 14 days onto total scale scores. Cronbach's α was calculated to assess internal reliability. A 10-item scale assessing amount and depth of use, interest, enjoyment, and attention was generated. Of 5,460 eligible users, only 203 (3.7%) users completed the scale. Seven items were retained, and the scale was found to be unifactorial and internally reliable (α = 0.77). Divergent and criterion validity were not established. Total scale scores were not significantly associated with the number of subsequent logins (B = 0.02; 95% CI = -0.01 to 0.05; p = .14). Behavioral and experiential indicators of engagement with DBCIs may constitute a single dimension, but low response rates to engagement surveys embedded in DBCIs may make their use impracticable in real-world settings.

Indexed as

AlcoholismAdultHumansPsychometricsReproducibility of ResultsSelf ReportSurveys and QuestionnairesAlcohol reductionDigital behavior change interventionseHealthEngagementmHealthPsychometric evaluationSelf-report scale

Identifiers

PMID30927357
PMCPMC8411853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 OpenQuestion graph.