A comprehensive review of mobile user interfaces in mHealth applications for elderly and the related ageing barriers
Pages 1613 - 1629
Abstract
The adoption of mobile health technology can assist in enhancing the quality of life of elderly people. Over the last few years, though mHealth research has expanded, the usage of mHealth applications among elderly is still minimal. This study aims to evaluate mobile user interfaces in mHealth applications and elicit the key ageing barriers that limit the use of such apps among the elderly. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) technique was used whereby 28 papers were identified and examined out of 742. In addition to the systematic review, an experiment of using 5 existing mHealth apps was conducted with 10 individuals within the age group of 60–79 to determine additional ageing barriers and usage challenges. The Questionnaire for User Interface Satisfaction approach was used to prepare a questionnaire to assess the overall system satisfaction and was provided to participants after one week of usage. In this work, issues with the user interface that impact the elderly have been highlighted. Three important ageing barriers hindering the use of mHealth among the elderly have been identified via PRISMA, namely physical, cognitive and perspective. Empirical findings from the experiment carried out further consolidate the findings obtained from the PRISMA approach. This study's investigation emphasised the performance of older persons with mHealth apps, their needs and the challenges they confront when adopting mHealth technologies. As a result, technology designers will benefit from this information when developing and designing mHealth apps and services that are suitable for older adults.
References
[1]
Wilson J, Heinsch M, Betts D, Booth D, and Kay-Lambkin F Barriers and facilitators to the use of e-health by older adults: a scoping review BMC Public Health 2021 21 1 1-12
[2]
Parkar SR Elderly mental health: needs Mens Sana Monogr. 2015 13 1 91
[3]
United Nations Department of Economic and Social Affairs, Population Division (UN DESA): World population ageing 2020 highlights: living arrangements of older persons (2020)
[4]
Tajudeen FP, Bahar N, Maw Pin T, and Saedon NI Mobile technologies and healthy ageing: A bibliometric analysis on publication trends and knowledge structure of mHealth research for older adults Int. J. Hum. Comput. Interact. 2022 38 2 118-130
[5]
Schulz R, Wahl HW, Matthews JT, De Vito DA, Beach SR, and Czaja SJ Advancing the aging and technology agenda in gerontology Gerontologist 2015 55 5 724-734
[6]
Klaver NS, van de Klundert J, and Askari M Relationship between perceived risks of using mHealth applications and the intention to use them among older adults in the Netherlands: cross-sectional study JMIR mHealth uHealth 2021 9 8 e26845
[7]
Wildenbos GA, Jaspers MW, Schijven MP, and Dusseljee-Peute LW Mobile health for older adult patients: using an aging barriers framework to classify usability problems Int. J. Med. Inf. 2019 124 68-77
[8]
Mincolelli G, Imbesi S, Marchi M, and Giacobone GA New domestic healthcare. Co-designing assistive technologies for autonomous ageing at home Des. J. 2019 22 1 503-516
[9]
Alsswey A, Naufal I, and Bervell B Investigating the acceptance of mobile health application user interface cultural-based design to assist Arab elderly users Int. J. Adv. Comput. Sci. Appl. 2018 9 8 144-152
[10]
Pan J, Dong H, and Bryan-Kinns N Perception and initial adoption of mobile health services of older adults in London: mixed methods investigation JMIR Aging 2021 4 4 e26845
[11]
Zhao Y, Ni Q, and Zhou R What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age Int. J. Inf. Manag. 2018 43 342-350
[12]
Bostrom J, Sweeney G, Whiteson J, and Dodson JA Mobile health and cardiac rehabilitation in older adults Clin. Cardiol. 2020 43 2 118-126
[13]
Searcy RP, Summapund J, Estrin D, Pollak JP, Schoenthaler A, Troxel AB, and Dodson JA Mobile health technologies for older adults with cardiovascular disease: current evidence and future directions Curr. Geriatr. Rep. 2019 8 1 31-42
[14]
Li C, Neugroschl J, Zhu CW, Aloysi A, Schimming CA, Cai D, Grossman H, Martin J, Sewell M, Loizos M, and Zeng X Design considerations for mobile health applications targeting older adults J. Alzheimers Dis. 2021 79 1 1-8
[15]
Kao JL, Vereijken B, Becker C, Todd C, Taraldsen K, Pijnappels M, Aminian K, and Mellone S Mobile health applications to promote active and healthy ageing Sensors 2017 17 3 622
[16]
Gharaibeh MK, Gharaibeh NK, and De Villiers MV A qualitative method to explain acceptance of mobile health application: Using innovation diffusion theory Int. J. Adv. Sci. Technol. 2020 29 4 3426-3432
[17]
Lee M, Kang D, Yoon J, Shim S, Kim IR, Oh D, Shin SY, Hesse BW, and Cho J The difference in knowledge and attitudes of using mobile health applications between actual user and non-user among adults aged 50 and older PLoS ONE 2020 15 10 e0241350
[18]
Peleg-Adler R, Lanir J, and Korman M The effects of aging on the use of handheld augmented reality in a route planning task Comput. Hum. Behav. 2018 81 52-62
[19]
Wildenbos GA, Peute L, and Jaspers M Aging barriers influencing mobile health usability for older adults: a literature based framework (MOLD-US) Int. J. Med. Inf. 2018 114 66-75
[20]
EU4Health programme 2021–2027—a vision for a healthier European Union (2022) https://health.ec.europa.eu/system/files/2022-04/amended_wp2022_en.pdf#page=31&zoom=100,90,106. Accessed 4 July 2022
[21]
Ruzic L, Harrington CN, and Sanford JA Universal design mobile interface guidelines for mobile health and wellness apps for an aging population including people aging with disabilities Int. J. Adv. Softw. 2017 10 372-384
[22]
Kalimullah K and Sushmitha D Influence of design elements in mobile applications on user experience of elderly people Procedia Comput. Sci. 2017 113 352-359
[23]
Page, M.J., Moher, D., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., Shamseer, L., Tetzlaff, J.M., Akl, E.A., Brennan, S.E., Chou, R.: PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)
[24]
Haddaway NR, Collins AM, Coughlin D, and Kirk S The role of Google Scholar in evidence reviews and its applicability to grey literature searching PLoS ONE 2015 10 9 138237
[25]
ACM Digital Library: About ACM DL (2022). https://dl.acm.org/about. Accessed 8 June 2022
[26]
Mao X, Zhao X, and Liu Y mHealth App recommendation based on the prediction of suitable behavior change techniques Decis. Support Syst. 2020 132
[27]
Garcia, A.C., de Lara, S.M.: Enabling aid in remote care for elderly people via mobile devices: the MobiCare case study. In: Proceedings of the 8th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, pp. 270–277 (2018)
[28]
Azfar, A., Choo, K.K.R., Liu, L.: Forensic taxonomy of popular Android mHealth apps (2015)
[29]
Ferron, M., Mana, N., Mich, O.: Mobile for older adults: towards designing multimodal interaction. In: Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, pp. 373–378 (2015)
[30]
Shaheen, R., Kanwal, S., Iftikhar, R., Shahid, M.R.: Evaluating health information apps on real life smart phone use. In: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, pp. 1–6 (2018)
[31]
dos Santos, M.M., Antonelli, H.L., Rodrigues, S.S., de O Silva C.L., Fortes, R.P., Castro P.C.: Personalizing health-related ICT interface and application: older adults and elderly caregivers preferences. In: Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion, pp. 331–338 (2016)
[32]
Lindberg, R.S., De Troyer, O.: Towards an up to date list of design guidelines for elderly users. In: CHI Greece 2021: 1st International Conference of the ACM Greek SIGCHI Chapter, pp. 1–7 (2021)
[33]
Aranyanak, I., Charoenporn, P.: UX-based design of a mobile application for Thai seniors. In: Proceedings of the 2020 The 6th International Conference on Frontiers of Educational Technologies, pp. 160–163 (2020)
[34]
González-Bañales, D.L., Ortíz, L.E.S.: Empathy map as a tool to analyze human-computer interaction in the elderly. In: Proceedings of the 8th Latin American Conference on Human-Computer Interaction, pp. 1–3 (2017)
[35]
Boontarig, W., Quirchmayr, G., Chutimasakul, W., Papasratorn, B.: An evaluation model for analysing persuasive systems in mobile healthcare. In: 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 1–5. IEEE (2014)
[36]
Stefanicka-Wojtas D and Kurpas D eHealth and mHealth in chronic diseases—identification of barriers, existing solutions, and promoters based on a survey of EU stakeholders involved in Regions4PerMed (H2020) J. Pers. Med. 2022 12 3 467
[37]
Aziz NFA, Zainal A, and Ahmad NA Towards user experience evaluation of digital health technology for elderly Selangor Sci. Technol. Rev. SeSTeR 2021 5 5 57-63
[38]
Cajita MI, Hodgson NA, Lam KW, Yoo S, and Han HR Facilitators of and barriers to mHealth adoption in older adults with heart failure Comput. Inform. Nurs. CIN 2018 36 8 376
[39]
Lienhard, K.R., Legner, C.: Principles in the design of mobile medical apps: guidance for those who care (2017)
[40]
Baharum, A., Ismail, R., Saad, N., Daruis, D.D.I., Noh, N.A.M., Noor, N.A.M.: Development of elderly reminder mobile application using mental model. In: Proceedings of the 2018 International Conference on Artificial Intelligence and Virtual Reality, pp. 131–136 (2018)
[41]
Wildenbos, G.A., Peute, L.W., Jaspers, M.W.: A framework for evaluating mHealth tools for older patients on usability. In: Digital Healthcare Empowering Europeans, pp. 783–787. IOS Press (2015)
[42]
Alsswey A and Al-Samarraie H Elderly users’ acceptance of mHealth user interface (UI) design-based culture: the moderator role of age J. Multimodal User Interfaces 2020 14 1 49-59
[43]
Permanasari, A.E., Alfani, F.N., Hartanto, R., Mulyani, G.T.: The interface development of hospital information system management using goal-directed design method. In: 2019 international conference on electrical engineering and informatics (ICEEI) pp. 524–529. IEEE (2019)
[44]
K2 Labs: Senior fitness—home workout for old and elderly (2020). https://play.google.com/store/apps/details?id=fitness.com.senior&hl=en_US&gl=GB. Accessed 30 April 2022
[45]
VBApps: Anxiety—stress relief helper (2022). https://play.google.com/store/apps/details?id=com.anxietyrelief.app&hl=en_US&gl=GB Accessed 30 April 2022
[46]
Lionasys: Heart diseases & treatment (2018). https://play.google.com/store/apps/details?id=com.lionasys.heartdisordersapp&hl=en_US&gl=GB Accessed 30 April 2022
[47]
MyTherapy: MyTherapy Pill Reminder (2022). https://play.google.com/store/apps/details?id=eu.smartpatient.mytherapy&hl=en_US&gl=GB. Accessed 30 April 2022
[48]
WebMD LLC: WebMD: symptom checker (2022). https://play.google.com/store/apps/details?id=com.webmd.android&hl=en_US&gl=GB. Accessed 30 Apr 2022
[49]
Pan, J., Dong, H.: mHealth adoption among older Chinese adults: a conceptual model with design suggestions. Int. J. Hum. Comput. Interact. 1–12 (2022)
[50]
Abbaspur-Behbahani, S., Monaghesh, E., Hajizadeh, A., Fehresti, S.: Application of mobile health to support the elderly during the COVID-19 outbreak: a systematic review. Health Policy Technol. 100595 (2022)
[51]
Sarkis-Onofre R, Catalá-López F, Aromataris E, and Lockwood C How to properly use the PRISMA statement Syst. Rev. 2021 10 1 1-3
[52]
Kitchenham B Procedures for Performing Systematic Reviews 2004 Keele Keele University 1-26
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Published: 01 July 2023
Accepted: 20 June 2023
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