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The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial

Arkers Kwan Ching Wong, Jonathan Bayuo, Frances Kam Yuet Wong, Karen Kit Sum Chow, Siu Man Wong, Avis Cheuk Ki Lau

2023Journal of Medical Internet Research40 citationsDOIOpen Access PDF

Abstract

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: =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.

Topics & Concepts

mHealthRandomized controlled trialMedicinePsychological interventionTelemedicineSelf-managementPhysical therapyNursingHealth careComputer scienceEconomic growthSurgeryEconomicsMachine learningMobile Health and mHealth ApplicationsTechnology Use by Older AdultsDigital Mental Health Interventions
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