IMPORTANCE Older adults who are homebound can be difficult to reach owing to their functional limitations and social distancing during the COVID-19 pandemic, leaving their health needs unrecognized at an earlier stage.OBJECTIVE To determine the effectiveness of a telecare case management program for older adults who are homebound during the COVID-19 pandemic. DESIGN, SETTING, AND PARTICIPANTSThis randomized clinical trial was conducted among 68 older adults in Hong Kong from May 21 to July 20, 2020, with a last follow-up date of October 20, 2020. Inclusion criteria were being 60 years or older, owning a smartphone, and going outside less than once a week in the previous 6 months. INTERVENTIONS Participants in the telecare group received weekly case management from a nurse supported by a social service team via telephone call and weekly video messages covering self-care topics delivered via smartphone for 3 months. Participants in the control group received monthly social telephone calls. MAIN OUTCOMES AND MEASURESThe primary outcome was the change in general self-efficacy from before the intervention to after the intervention at 3 months. Self-efficacy was measured by the Chinese version of the 10-item, 4-point General Self-efficacy Scale, with higher scores representing higher self-efficacy levels. Analysis was performed on an intention-to-treat basis. RESULTS A total of 68 participants who fulfilled the criteria were enrolled (34 in the control group and 34 in the intervention group; 56 [82.4%] were women; and mean [SD] age, 71.8 [6.1] years). At 3 months, there was no statistical difference in self-efficacy between the telecare group and the control group. Scores for self-efficacy improved in both groups (β = 1.68; 95% CI, −0.68 to 4.03; P = .16). No significant differences were found in basic and instrumental activities of daily living, depression, and use of health care services. However, the telecare group showed statistically significant interactions of group and time effects on medication adherence (β = −8.30; 95% CI, −13.14 to −3.47; P = .001) and quality of life (physical component score: β = 4.99; 95% CI, 0.29-9.69; P = .04). CONCLUSIONS AND RELEVANCEIn this randomized clinical trial, participants who received the telecare program were statistically no different from the control group with respect to changes in self-efficacy, although scores in both groups improved. After the intervention, the telecare group had better medication adherence and quality of life than the control group, although the small sample size may limit generalizability. A large-scale study is needed to confirm these results. (continued) Key Points Question Can a telecare case management program delivered by a nurse case manager supported by a health-social team improve self-efficacy, health-related measures, and health care service utilization outcomes among older adults who are homebound? Findings In this randomized clinical trial with 68 participants, there was no statistical difference in self-efficacy between the telecare group...

SignificanceUsing mHealth apps alone at home without the support of healthcare experts could mean that older adults might not fully utilize the functions of the apps, recognize their benefits, and sustain their use. Incorporating an integrated health-social partnership model to support the app usage when further help is needed by the older adults might maximize the apps' benefits in the long term.ObjectivesThis study aimed to examine the benefits of adding nursing interaction supported by a health-social partnership model in the use of mHealth, and the sustained beneficial effects on psychological outcomes, including quality of life, self-efficacy, and depression, among older adults after the completion of the program.MethodsA three-arm, randomized controlled trial design was adopted. Community-dwelling older adults with chronic pain, hypertension, or diabetes, were randomly assigned to either the mHealth, mHealth with interactivity, or control group. Subjects in both the mHealth and the mHealth with interactivity groups received the mHealth application. In addition, the mHealth with interactivity group received support from a nurse case manager, who was supported by a health-social partnership team. mHealth apps and services from a nurse case manager were not provided to the control group. The primary outcome measure was quality of life, and secondary outcomes were self-efficacy and depression. Data were collected at pre-intervention (T1), post-intervention (T2), and at 3 months post-intervention to measure the sustained effect of the program.ResultsThere were 74 mHealth+I, 71 mHealth, and 76 control group subjects enrolled in the program. No statistically significant between-group, within-group, and interaction effects between group and time in both physical component summary (PCS) and mental component summary (MCS) scores were found among the three groups. The mHealth group showed an improvement in PCS and depression scores from T1 to T2, sustained at T3; while the mHealth+I group demonstrated improved self-efficacy from T1 to T2, with a decrease at T3.ConclusionAdding nurse-directed telephone calls may be of little to no benefit at all in the long term. Future studies may consider a longer intervention period to build and sustain quality of life and self-efficacy levels among community-dwelling older adults.Clinical trial registrationwww.ClinicalTrials.gov, identifier: NCT03878212.

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

ImportanceMobile health (mHealth) smartphone apps are becoming increasingly popular among older adults, although the reactive care approach of these apps has limited their usability.ObjectiveTo evaluate the effects of an interactive mHealth program supported by a health-social partnership team on quality of life (QOL) among community-dwelling older adults in Hong Kong.Design, Setting, and ParticipantsThis was a 3-group, randomized clinical trial conducted in 5 community centers in Hong Kong from December 1, 2020, to April 30, 2022, with a last follow-up date of January 31, 2022. Participants included older adults aged at least 60 years who were living within the service area, used a smartphone, and had at least 1 of the following problems: chronic pain, hypertension, or diabetes. Data were analyzed from May 1 to 10, 2022.InterventionsParticipants were randomly assigned to the mHealth with interactivity (mHealth+I) group, mHealth group, or control group. Participants in the mHealth+I group received the mHealth app and nurse case management supported by a health-social partnership team. The mHealth group received the mHealth app only. The control group received no mHealth app or health-social care services.Main Outcomes and MeasuresThe primary outcome was the change in QOL from baseline to 3 months after completion of the intervention.ResultsAmong 221 participants (mean [SD] age 76.6 [8.0] years; 185 [83.7%] women), 76 were randomized to the control group, 71 were randomized to the mHealth group, and 74 were randomized to the mHealth+I group. The most common chronic diseases or problems were hypertension (147 participants [66.5%]), pain (144 participants [65.2%]), cataracts (72 participants [32.6%]), and diabetes (61 participants [27.6%]). At 3 months after the intervention and compared with the intervention group, there were no statistically significant differences in either the physical component summary (mHealth+I: β = −1.01 [95% CI, −4.13 to 2.11]; P = .53; mHealth: β = 0.22 [95% CI, −3.07 to 3.50]; P = .90) or the mental component summary (mHealth+I: β = −0.87 [95% CI, −4.42 to 2.69]; P = .63; mHealth: β = 1.73 [95% CI, −1.89 to 5.34]; P = .35) QOL scores. Only secondary outcomes, including self-efficacy (β = −2.31 [95% CI, −4.26 to −0.36]; P = .02), systolic blood pressure (β = −2.30 [95% CI, −5.00 to −0.13]; P = .04), pain levels (β = 1.18 [95% CI, 0.52 to 2.00]; P = .02), and health services utilization (β = 0.98 [95% CI, 0.32 to 2.09]; P = .048) improved in the mHealth+I group compared with the control group.Conclusions and RelevanceThis randomized clinical trial found no difference in the primary outcome between the mHealth+I group and the control group confirming that there were no incremental benefits to adding interactivity in mHealth programs for older adults with chronic diseases.Trial RegistrationClinicaltrials.gov Identifier: NCT03878212

Background A growing body of literature supports the efficacy of the health–social approach for the implementation of complex interventions to enhance self-care health management among community-dwelling older adults. However, there is little research on how interventions with this approach are implemented and disseminated in a real community setting. Methods This pilot study adopted an effectiveness–implementation hybrid design to 1) evaluate the effectiveness of a community-based Health–Social Partnership Program (HSPP) and 2) explore the reach, adoption, implementation, and maintenance of the HSPP in the community. Potential participants were recruited if they were aged 60 or above, owned a smartphone, and were cognitively competent. The participants received nurse-led case management with support from a social service team. Factors that hindered or facilitated the program delivery were examined to determine the implementation outcomes and sustained effects of the program. Data were collected at pre-intervention (T1), immediately post-intervention (T2), and 3 months post-intervention (T3). Results Ninety-two older adults joined and completed the program. The recruitment rate was 76.7%. A significant interaction effect was found for the mean self-efficacy scores from T1 to T2 (Wald χ2 = 12.28, p ≤ .001). Barriers to widespread program implementation included manpower shortage, lack of experienced staff, and unpredictable environment, whereas facilitators, as suggested by the older adults, providers, and community staff members, included regular communication between the research and service teams, recruitment of participants through community centers with the support of the research team, and seamless partnership among the health–social partnership team members. Strong implementation fidelity was achieved with zero attrition rate. Conclusion Most conventional randomized controlled trials investigating the effects of community-based programs have tended to control the contextual factors rather than incorporate the program in a real setting. This pilot study was the first to use a hybrid model to test the effectiveness and outcomes of HSPP implementation. The results imply that the program has a high potential sustainability in the real-life context. Trial registration This study was registered at clinicaltrials.gov (NCT04442867; date of first registration 23/06/2020).