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dc.contributor.authorArakawa, Yukien
dc.contributor.authorHaseda, Mahoen
dc.contributor.authorInoue, Kosukeen
dc.contributor.authorNishioka, Daisukeen
dc.contributor.authorKino, Shihoen
dc.contributor.authorNishi, Daisukeen
dc.contributor.authorHashimoto, Hidekien
dc.contributor.authorKondo, Naokien
dc.contributor.alternative荒川, 裕貴ja
dc.contributor.alternative長谷田, 真帆ja
dc.contributor.alternative井上, 浩輔ja
dc.contributor.alternative西岡, 大輔ja
dc.contributor.alternative木野, 志保ja
dc.contributor.alternative西, 大輔ja
dc.contributor.alternative橋本, 英樹ja
dc.contributor.alternative近藤, 尚己ja
dc.date.accessioned2023-08-04T09:37:31Z-
dc.date.available2023-08-04T09:37:31Z-
dc.date.issued2023-06-26-
dc.identifier.urihttp://hdl.handle.net/2433/284597-
dc.description妊娠中・産後にオンライン健康医療相談が利用できることで産後うつリスクが3分の2に低下. 京都大学プレスリリース. 2023-08-03.ja
dc.description.abstract[Background] Although many conventional healthcare services to prevent postpartum depression are provided face-to-face, physical and psychosocial barriers remain. These barriers may be overcome by using mobile health services (mHealth). To examine the effectiveness of mHealth professional consultation services in preventing postpartum depressive symptoms in real-world settings, we conducted this randomized controlled trial in Japan, where universal free face-to-face perinatal care is available. [Methods] This study included 734 pregnant women living in Yokohama city who could communicate in Japanese, recruited at public offices and childcare support facilities. The participants were randomized to the mHealth group (intervention, n = 365), where they could use a free app-based mHealth consultation service with gynecologists/obstetricians, pediatricians, and midwives whenever and as many times as they wanted between 6 p.m. and 10 p.m. on weekdays throughout their pregnancy and postpartum periods (funded by the City of Yokohama government) or the usual care group (control, n = 369). The primary outcome was the risk of elevated postpartum depressive symptoms, defined as Edinburgh Postnatal Depression Scale score ≥ 9. Secondary outcomes were self-efficacy, loneliness, perceived barriers to healthcare access, number of clinic visits, and ambulance usage. All outcomes were collected three months post-delivery. We also conducted subgroup analyses assessing the differences in the treatment effect by sociodemographic status. [Results] Most women completed all questionnaires (n = 639 of 734, response rate: 87%). The mean baseline age was 32.9 ± 4.2 years, and 62% were primipara. Three months post-delivery, women in the mHealth group had a lower risk of elevated postpartum depressive symptoms (47/310 [15.2%]) compared to the usual care group (75/329 [22.8%], risk ratio: 0.67 [95% confidence interval: 0.48–0.93]). Compared with the usual care group, women in the mHealth group had higher self-efficacy, less loneliness, and fewer perceived barriers to healthcare access. No differences were observed in the frequency of clinic visits or ambulance usage. Furthermore, in the subgroup analyses, we did not find differences in the treatment effect by sociodemographic status. [Conclusions] Local government-funded mHealth consultation services have a preventive effect on postpartum depressive symptoms, removing physical and psychological barriers to healthcare access in real-world settings.en
dc.language.isoeng-
dc.publisherSpringer Natureen
dc.publisherBMCen
dc.rights© The Author(s) 2023.en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectPostpartum depressionen
dc.subjectmHealthen
dc.subjectPreventionen
dc.subjectRandomized controlled trialen
dc.subjectHealth consultation servicesen
dc.subjecteHealthen
dc.subjectMental healthen
dc.titleEffectiveness of mHealth consultation services for preventing postpartum depressive symptoms: a randomized clinical trialen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleBMC Medicineen
dc.identifier.volume21-
dc.relation.doi10.1186/s12916-023-02918-3-
dc.textversionpublisher-
dc.identifier.artnum221-
dc.addressDepartment of Health and Social Behavior, Graduate School of Medicine, The University of Tokyo; Department of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto Universityen
dc.addressDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto Universityen
dc.addressDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto Universityen
dc.addressDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University; Department of Medical Statistics, Research & Development Center, Osaka Medical and Pharmaceutical Universityen
dc.addressDepartment of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental Universityen
dc.addressDepartment of Mental Health, Graduate School of Medicine, The University of Tokyoen
dc.addressDepartment of Health and Social Behavior, Graduate School of Medicine, The University of Tokyoen
dc.addressDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University; Institute for Future Initiatives, The University of Tokyoen
dc.identifier.pmid37365535-
dc.relation.urlhttps://www.kyoto-u.ac.jp/ja/research-news/2023-08-03-1-
dcterms.accessRightsopen access-
datacite.awardNumber26670306-
datacite.awardNumber18H04071-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26670306/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18H04071/-
dc.identifier.eissn1741-7015-
jpcoar.funderName日本学術振興会ja
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle認知バイアス効果を応用した健康格差対策のための新しい行動変容モデルの開発ja
jpcoar.awardTitle健康格差是正にむけた新しい公衆衛生マーケティング理論の構築と実践モデルの効果検証ja
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