Prevalence and correlates of medication reminder app ‘use and use intention’ among older adults
Open accessAbstract
Background: Medication adherence is relatively poor among older adults. Although there exist medication reminder apps, data on the prevalence and correlates of their 'use and use intention' by older adults are limited. Objective: To examine the prevalence, and socio-demographic and health correlates of medication reminder app use and use intention among older adults in Singapore. Methods: Data from a nationally representative survey of 2228 adults aged 62 years and above, who were taking at least one prescription medication, were analysed. Medication reminder app use (in the past one month) and use intention (in the next one month) were self-reported. Bivariate and multivariable logistic regression models were used to identify the correlates of medication reminder app use and use intention. Results: The prevalence of medication reminder app use and use intention was low at 2.6% (comprising 0.5% for use and 2.1% for use intention). Age, ethnicity, education level, previous participation in information technology/computer-related courses, comorbidity, health literacy, medication adherence and polypharmacy were correlated with app use and use intention in multivariable analyses. Conclusion: The very low prevalence of medication reminder app use and use intention among older adults in Singapore and identified correlates point to opportunities to increase the use of such apps.
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In Singapore, only 2.6% of older adults used or intended to use reminder apps.
“In Singapore, only 2.6% of older adults used or intended to use reminder apps, underscoring the need for digital literacy and culturally tailored solutions [47].”
From Multilevel Interventions to Improve Medication Adherence in Older Adults: A Systematic Review and Meta-Analysis of Cognitive, Digital, Behavioral, and Socioeconomic Strategies (2015–2025) (2026) · cites this paper as [47]
The Conclusion reports the 2.6% figure for adults in Singapore aged 62 and above who were taking prescription medications. The citing sentence omits that restriction, making the estimate sound applicable to all older adults in Singapore. (LLM, conf=0.86)
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Cites
Pearlin, L. I., & Schooler, C. (1978) · Journal of Health and Social Behavior · doi:10.2307/2136319 · Cited by 7,791 · see citing works
Kirk, J. M. W., MacDonald, A., Lavender, P., Dean, J. M., & Rubin, G. (2017) · Biomedicine Hub · doi:10.1159/000480347 · Cited by 3,901 · see citing works
Medication Adherence: WHO Cares?
Brown, M. T., & Bussell, J. K. (2011) · Mayo Clinic Proceedings · doi:10.4065/mcp.2010.0575 · Cited by 1,928 · see citing works
Health App Use Among US Mobile Phone Owners: A National Survey
Krebs, P., & Duncan, D. T. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4924 · Cited by 1,274 · see citing works
Babitsch, B., Gohl, D., & Von Lengerke, T. (2012) · German Medical Science GMS Publishing House · doi:10.3205/psm000089 · Cited by 1,011 · see citing works
Economic impact of medication non-adherence by disease groups: a systematic review
Cutler, R. L., Fernandez-Llimos, F., Frommer, M., Benrimoj, C., & Garcia-Cardenas, V. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-016982 · Cited by 900 · see citing works
Does the technology acceptance model predict actual use? A systematic literature review
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2009.11.005 · Cited by 851 · see citing works
Whitehead, L., & Seaton, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4883 · Cited by 743 · see citing works
Barriers and facilitators to the use of e-health by older adults: a scoping review
Wilson, J. W., Heinsch, M., Betts, D. N., Booth, D., & KAY‐LAMBKIN, F. J. (2021) · BMC Public Health · doi:10.1186/s12889-021-11623-w · Cited by 706 · see citing works
Phillips, K. A., Morrison, K., Andersen, R., & Aday, L. A. (1998) · PubMed Central · Cited by 551 · see citing works
Health Literacy and Health Information Technology Adoption: The Potential for a New Digital Divide
Mackert, M., Mabry-Flynn, A., Champlin, S., Donovan, E. E., & Pounders, K. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.6349 · Cited by 503 · see citing works
Using smartphones and health apps to change and manage health behaviors: a population-based survey
Ernsting, C., Dombrowski, S. U., Oedekoven, M., O´Sullivan, J. L., Kanzler, M., Kuhlmey, A., & Gellert, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6838 · Cited by 400 · see citing works
Medication Adherence With Diabetes Medication
Capoccia, K. L., Odegard, P. S., & Letassy, N. A. (2015) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721715619038 · Cited by 292 · see citing works
Conn, V. S., Hafdahl, A. R., Cooper, P. S., Ruppar, T. M., Mehr, D. R., & Russell, C. L. (2009) · The Gerontologist · doi:10.1093/geront/gnp037 · Cited by 227 · see citing works
Al‐Arkee, S., Mason, J., Lane, D. A., Fabritz, L., Chua, W., Haque, S. M., & Jalal, Z. (2021) · Journal of Medical Internet Research · doi:10.2196/24190 · Cited by 205 · see citing works
Public library computer training for older adults to access high-quality Internet health information
Xie, B., & Bugg, J. M. (2009) · Library & Information Science Research · doi:10.1016/j.lisr.2009.03.004 · Cited by 168 · see citing works
The Aging of a Young Nation: Population Aging in Singapore
Malhotra, R., Bautista, M. A., Müller, A. M., Aw, S., Koh, G. C., Theng, Y., Hoskins, S. J., Wong, C. H., Miao, C., Lim, W. S., et al. (2018) · The Gerontologist · doi:10.1093/geront/gny160 · Cited by 134 · see citing works
Self-citationPatel, S., Jacobus-Kantor, L., Marshall, L., Ritchie, C., Kaplinski, M., Khurana, P., & Katz, R. J. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700307 · Cited by 122 · see citing works
Medication Compliance in the Elderly
Herrier, R. N. (1995) · Journal of Pharmacy Practice · doi:10.1177/089719009500800507 · Cited by 120 · see citing works
Chu, A., Huber, J. T., Mastel‐Smith, B., & Cesario, S. K. (2009) · Journal of the Medical Library Association JMLA · doi:10.3163/1536-5050.97.1.003 · Cited by 113 · see citing works
Medication compliance in the elderly.
Salzman, C. (1995) · PubMed · Cited by 89 · see citing works
Zibrik, L., Khan, S., Bangar, N., Stacy, E., Lauscher, H. N., & Ho, K. (2015) · Health Policy and Technology · doi:10.1016/j.hlpt.2015.08.002 · Cited by 86 · see citing works
Low, S., Sakhardande, P. G., Lai, Y. F., Long, A. D. S., & Kaur‐Gill, S. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.588590 · Cited by 80 · see citing works
Xie, Z., Nacioglu, A., & Or, C. K. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9002 · Cited by 79 · see citing works
Han, E., Suh, D., Lee, S.-M., & Jang, S. (2014) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2014.02.001 · Cited by 68 · see citing works
McBride, C. M., Morrissey, E. C., & Molloy, G. J. (2020) · JMIR mHealth and uHealth · doi:10.2196/17470 · Cited by 49 · see citing works
Chew, S. M., Lee, J. H., Lim, S. F., Liew, M. J., Xu, Y., & Towle, R. M. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.14913 · Cited by 49 · see citing works
Park, L. G., Ng, F., Shim, J. K., Elnaggar, A., & Villero, O. O. (2020) · Digital Health · doi:10.1177/2055207620926844 · Cited by 49 · see citing works
Teo, C. L., Chee, M. L., Koh, K. H., Tseng, R. M. W. W., Majithia, S., Thakur, S., Gunasekeran, D. V., Nusinovici, S., Sabanayagam, C., Wong, T. Y., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-90098-6 · Cited by 37 · see citing works
Medication Management Apps: Usable by Older Adults?
Stuck, R. E., Chong, A. W., Tracy, L. M., & Rogers, W. A. (2017) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931213601769 · Cited by 25 · see citing works
Diaz-Skeete, Y., McQuaid, D., Akinosun, A. S., Ekerete, I., Carragher, N., & Carragher, L. (2021) · JMIR mhealth and uhealth · doi:10.2196/30674 · Cited by 22 · see citing works
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Fotteler, M., Kocar, T. D., Dallmeier, D., Kohn, B., Mayer, S., Waibel, A.-K., Swoboda, W. J., & Denkinger, M. D. (2023) · BMC Public Health · doi:10.1186/s12889-023-16926-8 · Cited by 32 · see citing works
Fang, M., Wei, Y., Li, H., & Pan, Y. (2023) · Electronics · doi:10.3390/electronics12132860 · Cited by 29 · see citing works
Digital interventions in medication adherence: a narrative review of current evidence and challenges
Moon, Z., & Walsh, J. C. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1632474 · Cited by 25 · see citing works
Turjamaa, R., Vaismoradi, M., Kajander‐Unkuri, S., & Kangasniemi, M. K. (2022) · Nursing Open · doi:10.1002/nop2.1456 · Cited by 15 · see citing works
Turjamaa, R., Vaismoradi, M., & Kangasniemi, M. K. (2022) · Scandinavian Journal of Caring Sciences · doi:10.1111/scs.13141 · Cited by 11 · see citing works
Alhomoud, F. K., Alwohaibi, L., Aljarrash, K., Alhomoud, F., Alamer, K. A., Alsultan, M. M., Alqarni, Y. S., Alotaibi, N., Alsaad, A., Alqahtani, A., et al. (2024) · Patient Preference and Adherence · doi:10.2147/ppa.s499795 · Cited by 9 · see citing works
Shourya, S., Liu, J., McInerney, S., Casimir, T., Kenniff, J., Kershaw, T., Batey, D. S., & Schnall, R. (2025) · JMIR Formative Research · doi:10.2196/67997 · Cited by 6 · see citing works
Mehany, O., Artner, A., Sebők, S., Hankó, B., & Zelkó, R. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15052069 · Cited by 6 · see citing works
Designing an OCR-Based Medication Support System With Drug–Drug Interaction Alerts for Elderly
Alharbi, O. M. (2026) · IEEE Access · doi:10.1109/access.2026.3651478 · Cited by 2 · see citing works
Deep prescription understanding and low-cost medication dispensing and management for elderly care
Ghazal, M. A., Salman, H., Gad, A., Sheibani, A., Amin, A., Alhalabi, M. T., Yaghi, M., & AlKhedher, M. A. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.128623 · Cited by 1 · see citing works
A Vision-Based Medication Monitoring and Advisory System to Detect Adherence from Video Streams
Wang, A., & Greer, R. (2025) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc58881.2025.11343131 · Cited by 1 · see citing works
Introducing New Users to Medication Reminder Apps
Becker, D. A. (2023) · Journal of Electronic Resources in Medical Libraries · doi:10.1080/15424065.2023.2278641
Fotteler, M., Kocar, T. D., Dallmeier, D., Kohn, B., Mayer, S., Waibel, A.-K., Swoboda, W., & Denkinger, M. (2024) · Figshare · doi:10.6084/m9.figshare.26626870
Fotteler, M., Kocar, T. D., Dallmeier, D., Kohn, B., Mayer, S., Waibel, A.-K., Swoboda, W., & Denkinger, M. (2024) · Figshare · doi:10.6084/m9.figshare.26626867
Adoption Determinants of Mobile Health Apps Among Malaysian
Cheak, A. P. C., Chow, M. M., & Kwee, S. E. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-031-99466-1_63
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Faizal, N. A., Pang, B. W. J., Ng, Y. S., Ding, Y. Y., Low, J. A. Y. H., & Lau, L. K. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1952870
- Authors
- Ping, Y., Visaria, A., Suppiah, S. D., Tan, Y. W., & Malhotra, R.
- Affiliations
- Duke-NUS Medical School (SG)
- Corresponding author
- Malhotra, Rahul
- Venue
- Exploratory Research in Clinical and Social Pharmacy
- Publisher
- Elsevier BV
- Published
- 2022-06
- Volume
- 6
- Pages
- 100150
- ISSN
- 2667-2766 (ISSN-L)
- PMC
- PMC9218158
- OpenAlex
- W4281714689
- Cited by
- 15
- References
- 31
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 3 · 2022: 2
- FWCI
- 3.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Exploratory Research in Clinical and Social Pharmacy (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- medication reminder app, medication adherence, older adults, intention to use, polypharmacy, health literacy, comorbidities, sociodemographic correlates, Singapore
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