Evidence mapPaperPMID 41250015Full record

ArticleBMC public health2025

Drivers and barriers of acceptance of eHealth interventions in postpartum mental health care: a cross-sectional study.

Lisa Maria Jahre, Anna-Lena Frewer, Heidi Meyer, Katja Koelkebeck, Antonella Iannaccone, Eva-Maria Skoda, Martin Teufel, Alexander Bäuerle

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Lisa Maria JahreClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany.
Anna-Lena FrewerClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany.
Heidi MeyerCenter for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany.
Katja KoelkebeckCenter for Translational Neuro- and Behavioral Sciences (C-TNBS), University of Duisburg-Essen, Essen, Germany.
Antonella IannacconeDepartment of Gynecology and Obstetrics, University Hospital Essen, Essen, Germany.
Eva-Maria SkodaClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany.
Martin TeufelClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany.
Alexander BäuerleClinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital, University of Duisburg-Essen, Essen, Germany. alexander.baeuerle@lvr.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostpartum mental health problems are common in women. Screening practice and treatment options are less common, which is a possible threat to health of mothers and children. eHealth interventions might bridge the gap but few validated programs are available. For developing relevant tools, an assessment of user behavior is a relevant step. Users' acceptance of eHealth interventions can be examined via the Unified Theory of Acceptance and Use of Technology (UTAUT) model.

methodsA cross-sectional study was conducted between October 2022 and June 2023. Acceptance, sociodemographic, medical, psychometric, and eHealth data were assessed. This study included 453 women who had experienced pregnancy. Multiple hierarchical regression analysis and group comparisons (t-tests, ANOVA) were conducted.

resultsHigh acceptance of eHealth interventions in postpartum mental health care was reported by 68.21% (n = 309) of women. Acceptance was significantly higher in women affected by mental illness, t(395) = -4.72, p

conclusionsThis study provides valuable insights into user behavior of women who experienced pregnancy. High acceptance towards eHealth interventions in postpartum mental health care and identified drivers and barriers should be taken into account when implementing tailored eHealth interventions for this vulnerable target group. Specifically women with mental health issues report high acceptance and should therefore be addressed in a targeted manner.

Indexed as

Mental DisordersMental Health ServicesPatient Acceptance of Health CarePostpartum PeriodTelemedicineAdultCross-Sectional StudiesDepression, PostpartumFemaleHumansPregnancySurveys and QuestionnairesYoung AdulteHealthMaternal mental healthPostpartum healthUTAUTWomen mental health

Identifiers

PMID41250015
PMCPMC12621414

What Socratic holds

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LicenceCC BY
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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.