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A Mobile App for Comprehensive Symptom Management in People With Parkinson's Disease A Pilot Usability Study

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dc.contributor.authorLee, Juhee-
dc.contributor.authorSuh, Yujin-
dc.contributor.authorKim, Eunyoung-
dc.contributor.authorYoo, Subin-
dc.contributor.authorKim, Yielin-
dc.date.accessioned2025-02-10T00:25:35Z-
dc.date.available2025-02-10T00:25:35Z-
dc.date.created2025-01-24-
dc.date.issued2024-04-
dc.identifier.issn1538-2931-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/202511-
dc.description.abstractThere is an increasing need for highly accessible health management platforms for comprehensive symptoms of Parkinson disease. Mobile apps encompassing nonmotor symptoms have been rarely developed since these symptoms are often subjective and difficult to reflect what individuals actually experience. The study developed an app for comprehensive symptom management and evaluated its usability and feasibility. A single-group repeated measurement experimental design was used. Twenty-two participants used the app for 6 weeks. Monitoring of nonmotor symptoms, games to address motor symptoms, and medication management were incorporated in the app. Quantitative outcomes were self-assessed through an online questionnaire, and one-on-one telephone interviews were conducted to understand the user&apos;s point of view. The successful experience of self-monitoring had improved participants&apos; self-efficacy (Z = -3.634, P < .001) and medication adherence (Z = -3.371, P = .001). Facilitators included a simple-to-use interface, entertaining content, and medication helps. Barriers included simple forgetfulness and digital literacy, including unfamiliarity with mobile phone manipulation itself. The study suggested insight into the app use related to acceptability of mobile technology. The preliminary effects on self-efficacy and medication adherence will guide future nursing interventions using mobile health. Our approach will contribute to improving the continuum of care for Parkinson disease by promoting self-monitoring of symptoms.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfCIN-COMPUTERS INFORMATICS NURSING-
dc.relation.isPartOfCIN-COMPUTERS INFORMATICS NURSING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleA Mobile App for Comprehensive Symptom Management in People With Parkinson&apos;s Disease A Pilot Usability Study-
dc.typeArticle-
dc.contributor.collegeCollege of Nursing (간호대학)-
dc.contributor.departmentDept. of Nursing (간호학과)-
dc.contributor.googleauthorLee, Juhee-
dc.contributor.googleauthorSuh, Yujin-
dc.contributor.googleauthorKim, Eunyoung-
dc.contributor.googleauthorYoo, Subin-
dc.contributor.googleauthorKim, Yielin-
dc.identifier.doi10.1097/CIN.0000000000001089-
dc.relation.journalcodeJ00639-
dc.identifier.eissn1538-9774-
dc.identifier.pmid38261451-
dc.subject.keywordmHealth-
dc.subject.keywordMobile app-
dc.subject.keywordNonmotor symptoms-
dc.subject.keywordParkinson disease-
dc.subject.keywordSymptom management-
dc.contributor.alternativeNameLee, Ju Hee-
dc.contributor.affiliatedAuthorLee, Juhee-
dc.contributor.affiliatedAuthorKim, Eunyoung-
dc.contributor.affiliatedAuthorYoo, Subin-
dc.identifier.scopusid2-s2.0-85190483015-
dc.identifier.wosid001233725200001-
dc.citation.volume42-
dc.citation.number4-
dc.citation.startPage289-
dc.citation.endPage297-
dc.identifier.bibliographicCitationCIN-COMPUTERS INFORMATICS NURSING, Vol.42(4) : 289-297, 2024-04-
dc.identifier.rimsid84655-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthormHealth-
dc.subject.keywordAuthorMobile app-
dc.subject.keywordAuthorNonmotor symptoms-
dc.subject.keywordAuthorParkinson disease-
dc.subject.keywordAuthorSymptom management-
dc.subject.keywordPlusSELF-EFFICACY-
dc.subject.keywordPlusMEDICATION ADHERENCE-
dc.subject.keywordPlusSCALE-
dc.subject.keywordPlusCARE-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryMedical Informatics-
dc.relation.journalWebOfScienceCategoryNursing-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMedical Informatics-
dc.relation.journalResearchAreaNursing-
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers

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