Effect of a Telecare Case Management Program for Older Adults Who Are Homebound During the COVID-19 Pandemic: A Pilot Randomized Clinical Trial

Arkers Kwan Ching Wong, Frances Kam Yuet Wong, Karen Kit Sum Chow, Siu Man Wong, Paul Hong Lee, Arkers Kwan Ching Wong, Frances Kam Yuet Wong, Karen Kit Sum Chow, Siu Man Wong, Paul Hong Lee

Abstract

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 participants: This 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 measures: The 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 relevance: In 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.

Trial registration: ClinicalTrials.gov Identifier: NCT04304989.

Conflict of interest statement

Conflict of Interest Disclosures: Drs A. K. C. Wong, F. K. Y. Wong, and S. M. Wong and Ms Chow reported receiving grants from the Nethersole Institute of Continuing Holistic Health Education (NICHE) during the conduct of the study. Dr A. K. C. Wong reported receiving grants from the NICHE outside the submitted work. No other disclosures were reported.

Figures

Figure.. CONSORT Diagram
Figure.. CONSORT Diagram
ITT indicates intention-to-treat.

References

    1. Xiang X, Chen J, Kim M. Trajectories of homebound status in Medicare beneficiaries aged 65 and older. Gerontologist. 2020;60(1):101-111. doi:10.1093/geront/gnz023
    1. Sterling-Fox C.Access to five nonprimary health care services by homebound older adults: an integrative review. Home Health Care Manag Pract. 2019;31(1):55-69. doi:10.1177/1084822318810384
    1. Zhao YL, Alderden J, Lind B, Stibrany J. Risk factors for falls in homebound community-dwelling older adults. Public Health Nurs. 2019;36(6):772-778. doi:10.1111/phn.12651
    1. Xiang X, Brooks J. Correlates of depressive symptoms among homebound and semi-homebound older adults. J Gerontol Soc Work. 2017;60(3):201-214. doi:10.1080/01634372.2017.1286625
    1. Qiu WQ, Dean M, Liu T, et al. . Physical and mental health of homebound older adults: an overlooked population. J Am Geriatr Soc. 2010;58(12):2423-2428. doi:10.1111/j.1532-5415.2010.03161.x
    1. Kim CO, Jang SN. Home-based primary care for homebound older adults: literature review. Ann Geriatr Med Res. 2018;22(2):62-72. doi:10.4235/agmr.2018.22.2.62
    1. Norman GJ, Wade AJ, Morris AM, Slaboda JC. Home and community-based services coordination for homebound older adults in home-based primary care. BMC Geriatr. 2018;18(1):241. doi:10.1186/s12877-018-0931-z
    1. Stall N, Nowaczynski M, Sinha SK. Systematic review of outcomes from home-based primary care programs for homebound older adults. J Am Geriatr Soc. 2014;62(12):2243-2251. doi:10.1111/jgs.13088
    1. Ninnis K, van den Berg M, Lannin NA, et al. . Information and communication technology use within occupational therapy home assessments: a scoping review. Br J Occup Ther. 2019;82(3):141-152. doi:10.1177/0308022618786928
    1. Read J, Jones N, Fegan C, et al. . Remote home visit: exploring the feasibility, acceptability and potential benefits of using digital technology to undertake occupational therapy home assessments. Br J Occup Ther. 2020;83(10):648-658. doi:10.1177/0308022620921111
    1. Hawley CE, Genovese N, Owsiany MT, et al. . Rapid integration of home telehealth visits amidst COVID-19: what do older adults need to succeed? J Am Geriatr Soc. 2020;68(11):2431-2439. doi:10.1111/jgs.16845
    1. Kim EH, Gellis ZD, Bradway CK, Kenaley B. Depression care services and telehealth technology use for homebound elderly in the United States. Aging Ment Health. 2019;23(9):1164-1173. doi:10.1080/13607863.2018.1481925
    1. Gellis ZD, Kenaley B, McGinty J, Bardelli E, Davitt J, Ten Have T. Outcomes of a telehealth intervention for homebound older adults with heart or chronic respiratory failure: a randomized controlled trial. Gerontologist. 2012;52(4):541-552. doi:10.1093/geront/gnr134
    1. Abrashkin KA, Zhang J, Poku A. Acute, post-acute, and primary care utilization in a home-based primary care program during COVID-19. Gerontologist. 2021;61(1):78-85. doi:10.1093/geront/gnaa158
    1. Tomioka K, Kurumatani N, Hosoi H. Social participation and cognitive decline among community-dwelling older adults: a community-based longitudinal study. J Gerontol B Psychol Sci Soc Sci. 2018;73(5):799-806. doi:10.1093/geronb/gbw059
    1. Broderick L, McCullagh R, White EB, Savage E, Timmons S. Perceptions, expectations, and informal supports influence exercise activity in frail older adults. SAGE Open. 2015;5(2):1-10. doi:10.1177/2158244015580850
    1. Wong AKC, Wong FKY, Chang K. Effectiveness of a community-based self-care promoting program for community-dwelling older adults: a randomized controlled trial. Age Ageing. 2019;48(6):852-858. doi:10.1093/ageing/afz095
    1. Farley H. Promoting self-efficacy in patients with chronic disease beyond traditional education: a literature review. Nurs Open. 2019;7(1):30-41. doi:10.1002/nop2.382
    1. Lau SCL, Bhattacharjya S, Fong MWM, et al. . Effectiveness of theory-based digital self-management interventions for improving depression, anxiety, fatigue and self-efficacy in people with neurological disorders: a systematic review and meta-analysis. J Telemed Telecare. Published online October 24, 2020. doi:10.1177/1357633X20955122
    1. Yamazaki S, Fujita K, Imuta H. Development of a scale measuring barriers to going out among community-dwelling older adults. Geriatr Gerontol Int. 2021;21(2):238-244. doi:10.1111/ggi.14111
    1. Yao NA, Ritchie C, Cornwell T, Leff B. Use of home-based medical care and disparities. J Am Geriatr Soc. 2018;66(9):1716-1720. doi:10.1111/jgs.15444
    1. Urbaniak GC, Plous S. Research Randomizer. Accessed July 19, 2021.
    1. Martin KS. The Omaha System: A Key to Practice, Documentation, and Information Management. 2nd ed.Health Connections Press; 2005.
    1. Leung DYP, Leung AYM. Factor structure and gender invariance of the Chinese General Self-efficacy Scale among soon-to-be-aged adults. J Adv Nurs. 2011;67(6):1383-1392. doi:10.1111/j.1365-2648.2010.05529.x
    1. Leung SOC, Chan CCH, Shah S. Development of a Chinese version of the Modified Barthel Index—validity and reliability. Clin Rehabil. 2007;21(10):912-922. doi:10.1177/0269215507077286
    1. Tong AYC, Man DWK. The validation of the Hong Kong Chinese version of the Lawton Instrumental Activities of Daily Living scale for institutionalized elderly persons. OTJR: Occupation, Participation and Health. 2002;22(4):132-142. doi:10.1177/153944920202200402
    1. Jin H, Kim Y, Rhie SJ. Factors affecting medication adherence in elderly people. Patient Prefer Adherence. 2016;10:2117-2125. doi:10.2147/PPA.S118121
    1. Lam CLK, Wong CKH, Lam ETP, Lo YYC, Huang WW. Population norm of Chinese (HK) SF-12 Health Survey Version 2 of Chinese adults in Hong Kong. Hong Kong Practitioner. 2010;32(2):77-86. Accessed July 28, 2021.
    1. Pocklington C, Gilbody S, Manea L, McMillan D. The diagnostic accuracy of brief versions of the Geriatric Depression Scale: a systematic review and meta-analysis. Int J Geriatr Psychiatry. 2016;31(8):837-857. doi:10.1002/gps.4407
    1. Laforest S, Nour K, Gignac M, Gauvin L, Parisien M, Poirier MC. Short-term effects of a self-management intervention on health status of housebound older adults with arthritis. J Appl Gerontol. 2008;27(5):539-567. doi:10.1177/0733464808319712
    1. Cocks K, Torgerson DJ. Sample size calculations for pilot randomized trials: a confidence interval approach. J Clin Epidemiol. 2013;66(2):197-201. doi:10.1016/j.jclinepi.2012.09.002
    1. Whitehead AL, Julious SA, Cooper CL, Campbell MJ. Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable. Stat Methods Med Res. 2016;25(3):1057-1073. doi:10.1177/0962280215588241
    1. Musich S, Wang SS, Hawkins K, Yeh CS. Homebound older adults: prevalence, characteristics, health care utilization and quality of care. Geriatr Nurs. 2015;36(6):445-450. doi:10.1016/j.gerinurse.2015.06.013
    1. Almathami HKY, Win KT, Vlahu-Gjorgievska E. Barriers and facilitators that influence telemedicine-based, real-time, online consultation at patients’ homes: systematic literature review. J Med internet Res. 2020;22(2):e16407. doi:10.2196/16407
    1. Khechine H, Lakhal S, Pascot D, Bytha A.. UTAUT model for blended learning: the role of gender and age in the intention to use webinars. Interdisciplinary Journal of e-Skills and Lifelong Learning. 2014;10(1):33-52. doi:10.28945/1994
    1. Moryson H, Moeser G. Consumer adoption of cloud computing services in Germany: investigation of moderating effects by applying a UTAUT model. International Journal of Marketing Studies. 2016;8(1):14-32. doi:10.5539/ijms.v8n1p14
    1. Greenhalgh T, Shaw S, Wherton J, et al. . Real-world implementation of video outpatient consultations at macro, meso, and micro levels: mixed-method study. J Med internet Res. 2018;20(4):e150. doi:10.2196/jmir.9897
    1. Choi NG, Wilson NL, Sirrianni L, Marinucci ML, Hegel MT. Acceptance of home-based telehealth problem-solving therapy for depressed, low-income homebound older adults: qualitative interviews with the participants and aging-service case managers. Gerontologist. 2014;54(4):704-713. doi:10.1093/geront/gnt083
    1. Free C, Phillips G, Galli L, et al. . The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362. doi:10.1371/journal.pmed.1001362
    1. Schooley B, San Nicolas-Rocca T, Burkhard R. Patient-provider communications in outpatient clinic settings: a clinic-based evaluation of mobile device and multimedia mediated communications for patient education. JMIR Mhealth Uhealth. 2015;3(1):e2. doi:10.2196/mhealth.3732
    1. Spring B, Pellegrini C, McFadden HG, et al. . Multicomponent mHealth intervention for large, sustained change in multiple diet and activity risk behaviors: the Make Better Choices 2 randomized controlled trial. J Med internet Res. 2018;20(6):e10528. doi:10.2196/10528
    1. Direito A, Carraça E, Rawstorn J, Whittaker R, Maddison R. mHealth technologies to influence physical activity and sedentary behaviors: behavior change techniques, systematic review and meta-analysis of randomized controlled trials. Ann Behav Med. 2017;51(2):226-239. doi:10.1007/s12160-016-9846-0
    1. Volk RJ, Lowenstein LM, Leal VB, et al. . Effect of a patient decision aid on lung cancer screening decision-making by persons who smoke: a randomized clinical trial. JAMA Netw Open. 2020;3(1):e1920362. doi:10.1001/jamanetworkopen.2019.20362
    1. Orgeta V, Brede J, Livingston G. Behavioural activation for depression in older people: systematic review and meta-analysis. Br J Psychiatry. 2017;211(5):274-279. doi:10.1192/bjp.bp.117.205021

Source: PubMed

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