%0 Journal Article
%@ 1438-8871
%I JMIR Publications
%V 25
%N 
%P e43678
%T The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial
%A Wong,Arkers Kwan Ching
%A Bayuo,Jonathan
%A Wong,Frances Kam Yuet
%A Chow,Karen Kit Sum
%A Wong,Siu Man
%A Lau,Avis Cheuk Ki
%+ School of Nursing, The Hong Kong Polytechnic University, GH 502, Hung Hom, Kowloon, China (Hong Kong), 852 34003805, arkers.wong@polyu.edu.hk
%K adults
%K application
%K apps
%K behavior
%K community
%K depression
%K diabetes
%K disease
%K hypertension
%K intervention
%K mHealth
%K older adults
%K proactive
%K program
%K self-efficacy
%K self-management
%K technology
%K usage
%D 2023
%7 1.5.2023
%9 Original Paper
%J J Med Internet Res
%G English
%X Background: 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. Objective: 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. Methods: 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. Results: 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. Conclusions: 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. Trial Registration: ClinicalTrials.gov NCT03878212; https://clinicaltrials.gov/ct2/show/NCT03878212 International Registered Report Identifier (IRRID): RR2-10.1159/000509129 
%M 37126378
%R 10.2196/43678
%U https://www.jmir.org/2023/1/e43678
%U https://doi.org/10.2196/43678
%U http://www.ncbi.nlm.nih.gov/pubmed/37126378