Evidence map›Paper›PMID 29326097›Full record

Trial reportJournal of medical Internet research2018

Turning Good Intentions Into Actions by Using the Health Action Process Approach to Predict Adherence to Internet-Based Depression Prevention: Secondary Analysis of a Randomized Controlled Trial.

Anna-Carlotta Zarski, Matthias Berking, Dorota Reis, Dirk Lehr, Claudia Buntrock, Ralf Schwarzer, David Daniel Ebert

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

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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

7 authors.

Anna-Carlotta ZarskiFriedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-0517-6668
Matthias BerkingFriedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-5903-4748
Dorota ReisUniversity Koblenz-Landau, Landau, Germany.ORCID 0000-0002-0027-9713
Dirk LehrLeuphana University Lüneburg, Lüneburg, Germany.ORCID 0000-0002-5560-3605
Claudia BuntrockFriedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0002-4974-5455
Ralf SchwarzerSWPS University of Social Sciences and Humanities, Warszawa, Poland.ORCID 0000-0002-0069-3826
David Daniel EbertFriedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany.ORCID 0000-0001-6820-0146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany individuals engaging in Internet-based interventions fail to complete these treatments as intended. The processes responsible for treatment adherence in Internet-based interventions are still poorly understood.

objectiveThe aim of this study was to investigate to what extent adherence in an Internet-based intervention can be predicted by motivational and volitional factors outlined in the health action process approach (HAPA).

methodsThis study investigated motivational and volitional factors included in HAPA in a randomized controlled trial to predict treatment adherence of N=101 individuals with subclinical depression in the intervention group of a depression prevention intervention (GET.ON Mood Enhancer). Adherence was operationalized as the number of completed treatment modules. Using longitudinal structural equation modeling, HAPA variables (motivational, maintenance, and recovery self-efficacy, outcome expectancies, intention, and planning) were assessed at baseline and their associations with adherence 7 weeks later.

resultsPlanning predicted adherence. Better planning was, in turn, associated with higher levels of maintenance self-efficacy, and the latter significantly affected treatment adherence via planning. The other hypothesized direct associations were not significant. In total, the HAPA variables accounted for 14% of variance in treatment adherence.

conclusionsPlanning emerged as the strongest predictor of treatment adherence in highly motivated participants in an Internet-based intervention out of all HAPA variables investigated. Findings are in line with the hypothesis that planning facilitates the translation of good intentions into actions. The findings imply that systematically fostering planning skills and maintenance self-efficacy prior to or during Internet-based interventions would help participants to successfully complete these treatments.

trial registrationGerman Clinical Trials Register DRKS00005973; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00005973 (Archived by WebCite at http://www.webcitation.org/6uxCy64sy).

Indexed as

Health BehaviorInternetSelf EfficacyAdultDepressionFemaleHumansIntentionLongitudinal StudiesMaleMotivationPatient CompliancePerceptionSelf ReportSurveys and Questionnairesadherencedepression preventionhealth action process approachInternet intervention

Identifiers

PMID29326097
PMCPMC5785685

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.