Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105913
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dc.contributorSchool of Nursing-
dc.creatorWong, AKC-
dc.creatorBayuo, J-
dc.creatorWong, FKY-
dc.creatorChow, KKS-
dc.creatorWong, SM-
dc.creatorLau, ACK-
dc.date.accessioned2024-04-23T04:32:16Z-
dc.date.available2024-04-23T04:32:16Z-
dc.identifier.issn1439-4456-
dc.identifier.urihttp://hdl.handle.net/10397/105913-
dc.language.isoenen_US
dc.publisherJMIR Publications, Inc.en_US
dc.rights©Arkers Kwan Ching Wong, Jonathan Bayuo, Frances Kam Yuet Wong, Karen Kit Sum Chow, Siu Man Wong, Avis Cheuk Ki Lau. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 01.05.2023. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.en_US
dc.rightsThe following publication Wong AKC, Bayuo J, Wong FKY, Chow KKS, Wong SM, Lau ACK. The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial. J Med Internet Res 2023;25:e43678 is available at https://doi.org/10.2196/43678.en_US
dc.subjectAdultsen_US
dc.subjectApplicationen_US
dc.subjectAppsen_US
dc.subjectBehavioren_US
dc.subjectCommunityen_US
dc.subjectDepressionen_US
dc.subjectDiabetesen_US
dc.subjectDiseaseen_US
dc.subjectHypertensionen_US
dc.subjectInterventionen_US
dc.subjectMHealthen_US
dc.subjectOlder adultsen_US
dc.subjectProactiveen_US
dc.subjectProgramen_US
dc.subjectSelf-efficacyen_US
dc.subjectSelf-managementen_US
dc.subjectTechnologyen_US
dc.subjectUsageen_US
dc.titleThe synergistic effect of nurse proactive phone calls with an mHealth app program on sustaining app usage : 3-arm randomized controlled trialen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume25-
dc.identifier.doi10.2196/43678-
dcterms.abstractBackground: Although mobile health application (mHealth app) programs have effectively promoted disease self-management behaviors in the last decade, usage rates have tended to fall over time.-
dcterms.abstractObjective: We used a case management approach led by a nurse and supported by a health-social partnership team with the aim of sustaining app usage among community-dwelling older adults and evaluated the outcome differences (i.e, self-efficacy, levels of depression, and total health service usages) between those who continued to use the app.-
dcterms.abstractMethods: This was a 3-arm randomized controlled trial. A total of 221 older adults with hypertension, diabetes, or chronic pain were randomized into 3 groups: mHealth (n=71), mHealth with interactivity (mHealth+I; n=74), and the control (n=76). The mHealth application was given to the mHealth and mHealth+I groups. The mHealth+I group also received 8 proactive calls in 3 months from a nurse to encourage use of the app. The control group received no interventions. Data were collected at preintervention (T1), postintervention (T2), and at 3 months’ postintervention (T3) to ascertain the sustained effect.-
dcterms.abstractResults: A total of 37.8% of mHealth+I and 18.3% of mHealth group participants continued using the mHealth app at least twice per week until the end of the sixth month. The difference in app usage across the 2 groups between T2 and T3 was significant (χ21=6.81, P=.009). Improvements in self-efficacy (β=4.30, 95% CI 0.25-8.35, P=.04) and depression levels (β=–1.98, 95% CI –3.78 to –0.19, P=.03) from T1 to T3 were observed in the mHealth group participants who continued using the app. Although self-efficacy and depression scores improved from T1 to T2 in the mHealth+I group, the mean values decreased at T3. Health service usage decreased for all groups from T1 to T2 (β=–1.38, 95% CI –1.98 to –0.78, P<.001), with a marginal increase at T3.-
dcterms.abstractConclusions: The relatively low rates of mHealth app usage at follow-up are comparable to those reported in the literature. More work is needed to merge the technology-driven and in-person aspects of mHealth.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of medical Internet research, 2023, v. 25, e43678-
dcterms.isPartOfJournal of medical Internet research-
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85159247609-
dc.identifier.pmid37126378-
dc.identifier.eissn1438-8871-
dc.identifier.artne43678-
dc.description.validate202404 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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