DC FieldValueLanguage
dc.contributor.authorKötting, Lukas-
dc.contributor.authorAnand-Kumar, Vinayak-
dc.contributor.authorKeller, Franziska Maria-
dc.contributor.authorHenschel, Nils Tobias-
dc.contributor.authorLippke, Sonia-
dc.date.accessioned2025-04-11T10:24:06Z-
dc.date.available2025-04-11T10:24:06Z-
dc.date.issued2024-04-26-
dc.identifier.issn2292-9495en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12738/17397-
dc.description.abstractBackground: In the medical field of obstetrics, communication plays a crucial role, and pregnant women, in particular, can benefit from interventions improving their self-reported communication behavior. Effective communication behavior can be understood as the correct transmission of information without misunderstanding, confusion, or losses. Although effective communication can be trained by patient education, there is limited research testing this systematically with an app-based digital intervention. Thus, little is known about the success of such a digital intervention in the form of a web-app, potential behavioral barriers for engagement, as well as the processes by which such a web-app might improve self-reported communication behavior. Objective: This study fills this research gap by applying a web-app aiming at improving pregnant women’s communication behavior in clinical care. The goals of this study were to (1) uncover the potential risk factors for early dropout from the web-app and (2) investigate the social-cognitive factors that predict self-reported communication behavior after having used the web-app. Methods: In this study, 1187 pregnant women were recruited. They all started to use a theory-based web-app focusing on intention, planning, self-efficacy, and outcome expectancy to improve communication behavior. Mechanisms of behavior change as a result of exposure to the web-app were explored using stepwise regression and path analysis. Moreover, determinants of dropout were tested using logistic regression. Results: We found that dropout was associated with younger age (P=.014). Mechanisms of behavior change were consistent with the predictions of the health action process approach. The stepwise regression analysis revealed that action planning was the best predictor for successful behavioral change over the course of the app-based digital intervention (β=.331; P<.001). The path analyses proved that self-efficacy beliefs affected the intention to communicate effectively, which in turn, elicited action planning and thereby improved communication behavior (β=.017; comparative fit index=0.994; Tucker–Lewis index=0.971; root mean square error of approximation=0.055). Conclusions: Our findings can guide the development and improvement of apps addressing communication behavior in the following ways in obstetric care. First, such tools would enable action planning to improve communication behavior, as action planning is the key predictor of behavior change. Second, younger women need more attention to keep them from dropping out. However, future research should build upon the gained insights by conducting similar internet interventions in related fields of clinical care. The focus should be on processes of behavior change and strategies to minimize dropout rates, as well as replicating the findings with patient safety measures.en
dc.language.isoenen_US
dc.publisherJMIR Publicationsen_US
dc.relation.ispartofJMIR human factorsen_US
dc.subjectbehavior changeen_US
dc.subjectclinical careen_US
dc.subjectcommunication behavioren_US
dc.subjectdigital healthen_US
dc.subjectdropouten_US
dc.subjectHAPAen_US
dc.subjecthealth action process approachen_US
dc.subjecthealth behaviorsen_US
dc.subjectintentionen_US
dc.subjectinternet interventionen_US
dc.subjectobstetricen_US
dc.subjectobstetric careen_US
dc.subjectpatient educationen_US
dc.subjectpatient safetyen_US
dc.subjectpredictionen_US
dc.subjectpregnancyen_US
dc.subjectpregnant womenen_US
dc.subjectsafe communicationen_US
dc.subject.ddc610: Medizinen_US
dc.titleEffective communication supported by an app for pregnant women : quantitative longitudinal studyen
dc.typeArticleen_US
dc.description.versionPeerRevieweden_US
tuhh.container.volume11en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteConstructor Universityen_US
tuhh.publisher.doi10.2196/48218-
tuhh.publisher.doi10.2196/preprints.48218-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.rights.cchttps://creativecommons.org/licenses/by/4.0/en_US
dc.type.casraiJournal Article-
dc.type.diniarticle-
dc.type.driverarticle-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
tuhh.container.articlenumber48218-
local.comment.externalarticle number: e48218. Preprint: http://dx.doi.org/10.2196/preprints.48218. Verlagsversion: https://doi.org/10.2196/48218en_US
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.creatorGNDKötting, Lukas-
item.creatorGNDAnand-Kumar, Vinayak-
item.creatorGNDKeller, Franziska Maria-
item.creatorGNDHenschel, Nils Tobias-
item.creatorGNDLippke, Sonia-
item.creatorOrcidKötting, Lukas-
item.creatorOrcidAnand-Kumar, Vinayak-
item.creatorOrcidKeller, Franziska Maria-
item.creatorOrcidHenschel, Nils Tobias-
item.creatorOrcidLippke, Sonia-
item.cerifentitytypePublications-
crisitem.author.deptDepartment Gesundheitswissenschaften-
crisitem.author.orcid0000-0002-8272-0399-
crisitem.author.parentorgFakultät Life Sciences-
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