Commercially Available Mobile Apps for Caregivers of People With Alzheimer Disease or Other Related Dementias: Systematic Search

Lori Wozney, Luciane M Freitas de Souza, Emily Kervin, Francine Queluz, Patrick J McGrath, Janice Keefe, Lori Wozney, Luciane M Freitas de Souza, Emily Kervin, Francine Queluz, Patrick J McGrath, Janice Keefe

Abstract

Background: More than 15 million Americans provide unpaid care for persons with Alzheimer disease or other related dementias (ADRD). While there is good evidence to suggest that caregivers benefit from psychosocial interventions, these have primarily been delivered via face-to-face individual or group format. Alternatively, offering electronic health (eHealth) interventions may assist caregivers in providing quality care while remaining in good health. Research to date has generated little knowledge about what app features support ADRD caregivers' behavioral changes and how developers might optimize features over the long term.

Objective: There is an evident knowledge gap in the current landscape of commercially available apps, their integration of behavioral techniques, content focus, and compliance with usability recommendations. This paper systematically reviews and inventories the apps caregivers might typically be exposed to and determines the support integrated into the apps and their functionality for older adults.

Methods: The search strategy was designed to mimic typical Web-based health information-seeking behavior for adults. Apps were included based on their explicit focus on ADRD caregiver knowledge and skill improvement. Two coders with expertise in behavioral interventions and eHealth pilot-tested the data extraction. One coder retained app characteristics and design features. Techniques used to promote change were determined, and 2 questions from the Mobile App Rating Scale were used to assess the app credibility and evidence base. Content topics were evaluated using a thematic framing technique, and each app was assessed using a usability heuristic checklist.

Results: The search results generated 18 unique apps that met the inclusion criteria. Some apps were unavailable, and only 8 unique apps were reviewed. Of the 8, 7 (88%) apps did not state which scientific orientation was followed to develop their content. None of the apps made clinical claims of improving caregivers' and care recipients' overall health. All apps relied on textual information to disseminate their contents. None of the apps was trialed and evidence based. Apps included on average 7 out of 10 behavioral change techniques, 5 out of 10 C.A.R.E. (Caregivers, Aspirations, Realities, and Expectations) features, and 10 out of 18 features on the usability heuristics checklist.

Conclusions: Our findings suggest that caregivers are likely to discover apps that are not actually accessible and have low or no evidence base. Apps were found to be largely static, text-based informational resources, and few supported behaviors needed to maintain caregivers' health. While apps may be providing a high volume of information, caregivers must still navigate what resources they need with limited guidance. Finally, the commercial marketplace is addressing some of the major usability elements, but many design elements are not addressed.

Keywords: alzheimer and other related dementias; apps; caregivers; eHealth; mobile phone.

Conflict of interest statement

Conflicts of Interest: None declared.

©Lori Wozney, Luciane M Freitas de Souza, Emily Kervin, Francine Queluz, Patrick J McGrath, Janice Keefe. Originally published in JMIR Aging (http://aging.jmir.org), 07.12.2018.

Figures

Figure 1
Figure 1
Flowchart of the selection process for apps included in the review. GP: Google Play; AS: Apple Store; Am: Advertised Amazon.
Figure 2
Figure 2
Distribution of behavioral change techniques (BCTs) across the reviewed apps.
Figure 3
Figure 3
Distribution of C.A.R.E. (Caregivers, Aspirations, Realities, and Expectations) categories across the reviewed apps.

References

    1. WHO. 2017. Dec 12, [2018-08-01]. Dementia .
    1. Alzheimer's Association 2016 Alzheimer's disease facts and figures. Alzheimers Dement. 2016 Apr;12(4):459–509.
    1. Kasper J, Freedman V, Spillman B. ASPE, US Department of Health and Human Services. 2014. Apr, [2018-10-14]. Disability and Care Needs of Older Americans by Dementia Status: An Analysis of the 2011 National Health and Aging Trends Study .
    1. Alzheimer's Association 2014 Alzheimer's disease facts and figures. Alzheimers Dement. 2014 Mar;10(2):e47–92.
    1. Epstein-Lubow G, Gaudiano B, Darling E, Hinckley M, Tremont G, Kohn R, Marino LJ, Salloway S, Grinnell R, Miller IW. Differences in depression severity in family caregivers of hospitalized individuals with dementia and family caregivers of outpatients with dementia. Am J Geriatr Psychiatry. 2012 Sep;20(9):815–9. doi: 10.1097/JGP.0b013e318235b62f.
    1. Del-Pino-Casado Rafael, Frías-Osuna Antonio, Palomino-Moral P, Ruzafa-Martínez María, Ramos-Morcillo Antonio J. Social support and subjective burden in caregivers of adults and older adults: A meta-analysis. PLoS One. 2018;13(1):e0189874. doi: 10.1371/journal.pone.0189874.
    1. Thinnes A, Padilla R. Effect of educational and supportive strategies on the ability of caregivers of people with dementia to maintain participation in that role. Am J Occup Ther. 2011;65(5):541–9.
    1. Sin J, Henderson C, Spain D, Cornelius V, Chen T, Gillard S. eHealth interventions for family carers of people with long term illness: A promising approach? Clin Psychol Rev. 2018 Mar;60:109–125. doi: 10.1016/j.cpr.2018.01.008.
    1. Marketwired. 2016. Apr 20, [2018-08-01]. Parks Associates: Over One-Fourth of U.S. Caregivers Are 45-54, but Only 16% of Caregiving App Users Are in This Age Group .
    1. Heinz M, Martin P, Margrett JA, Yearns M, Franke W, Yang H, Wong J, Chang CK. Perceptions of technology among older adults. J Gerontol Nurs. 2013 Jan;39(1):42–51. doi: 10.3928/00989134-20121204-04.
    1. Peterson K, Hahn H, Lee AJ, Madison CA, Atri A. In the Information Age, do dementia caregivers get the information they need? Semi-structured interviews to determine informal caregivers' education needs, barriers, and preferences. BMC Geriatr. 2016 Sep 23;16(1):164. doi: 10.1186/s12877-016-0338-7.
    1. Dogruel L, Joeckel S, Bowman N. Choosing the right app: An exploratory perspective on heuristic decision processes for smartphone app selection. Mobile Media & Communication. 2015;3:125–144. doi: 10.1177/2050157914557509.
    1. Scanfeld D, Scanfeld V, Larson EL. Dissemination of health information through social networks: twitter and antibiotics. Am J Infect Control. 2010 Apr;38(3):182–8. doi: 10.1016/j.ajic.2009.11.004.
    1. Conroy DE, Yang C, Maher JP. Behavior change techniques in top-ranked mobile apps for physical activity. Am J Prev Med. 2014 Jun;46(6):649–52. doi: 10.1016/j.amepre.2014.01.010.
    1. Direito A, Dale LP, Shields E, Dobson R, Whittaker R, Maddison R. Do physical activity and dietary smartphone applications incorporate evidence-based behaviour change techniques? BMC Public Health. 2014 Jun 25;14:646. doi: 10.1186/1471-2458-14-646.
    1. Gitlin L, Hodgson N. Family Caregiving in the New Normal San Diego. USA: Academic Press; 2014. Chapter 17 - Caregivers as therapeutic agents in dementia care: The context of caregiving and the evidence base for interventions; pp. 305–353.
    1. Balata J, Mikovec Z, Slavicek T. KoalaPhone: touchscreen mobile phone UI for active seniors. Journal on Multimodal User Interfaces(4) 2015;9:s12193–015. doi: 10.1007/s12193-015-0188-1.
    1. AARP. 2015. Caregiving in the U.S .
    1. Kirkpatrick A, Campbell A, Cooper M. W3. 2018. Jun 05, [2018-11-14]. Web Content Accessibility Guidelines (WCAG) 2
    1. Loureiro B, Rodrigues R. Design GuidelinesDesign Recommendations of Multi-Touch Interfaces for Elders. In L Miller & AL Culén (Eds). Proceedings of the 2014 International Conference on Advances in Computer-Human Interactions; The Seventh International Conference on Advances in Computer-Human Interactions; March 23-27, 2014; Barcelona, Spain. 2014.
    1. Silva P, Holden K, Jordan P. Towards a List of Heuristics to Evaluate Smartphone Apps Targeted at Older Adults: A Study with Apps that Aim at Promoting Health and Well-Being. HICSS '15 Proceedings of the 2015 48th Hawaii International Conference on System Sciences; January 05-08, 2015; Kauai, HI, USA. 2015.
    1. Díaz-Bossini J, Moreno L. Accessibility to Mobile Interfaces for Older People. Procedia Computer Science. 2014;27:57–66. doi: 10.1016/j.procs.2014.02.008.
    1. eBizMBA. 2018. May, [2018-11-14]. The eBizMBA Guide: Top 15 Most Popular Search Engines .
    1. Van Deursen AJAM, Van Dijk JAGM. Using the Internet: Skill related problems in users' online behavior. Interacting with computers. 2009;21:393–402. doi: 10.1016/j.intcom.2009.06.005.
    1. Nielsen J, Loranger H. Prioritizing Web Usability. Berkley, CA: New Riders; 2006.
    1. Atkins L, Francis J, Islam R, O'Connor Denise, Patey Andrea, Ivers Noah, Foy Robbie, Duncan Eilidh M, Colquhoun Heather, Grimshaw Jeremy M, Lawton Rebecca, Michie Susan. A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems. Implement Sci. 2017 Dec 21;12(1):77. doi: 10.1186/s13012-017-0605-9.
    1. Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth. 2015 Mar 11;3(1):e27. doi: 10.2196/mhealth.3422.
    1. Mount Saint Vincent University. 2003. [2018-08-02]. C.A.R.E. Tool: An assessment of caregivers? Aspirations, realities and expectations .
    1. Mount Saint Vincent University. 2001. [2018-08-02]. Caregiver Risk Screen .
    1. Silva P, Jordan P, Holden K. Something old, something new, something borrowed: gathering experts' feedback while performing heuristic evaluation with a list of heuristics targeted at older adults. Advances in Computer Entertainment. 2014:19. doi: 10.1145/2693787.2693804.
    1. Nielsen J. Usability Engineering. San Francisco: Elsevier Science; 1994.

Source: PubMed

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