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A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD)

Author

Listed:
  • Kanwal Yousaf

    (University of Engineering and Technology)

  • Zahid Mehmood

    (University of Engineering and Technology)

  • Israr Ahmad Awan

    (National University of Computer and Emerging Sciences-FAST)

  • Tanzila Saba

    (Prince Sultan University)

  • Riad Alharbey

    (University of Jeddah)

  • Talal Qadah

    (King Abdulaziz University)

  • Mayda Abdullateef Alrige

    (King Abdulaziz University)

Abstract

Assistive technology (AT) involvement in therapeutic treatment has provided simple and efficient healthcare solutions to people. Within a short span of time, mobile health (mHealth) has grown rapidly for assisting people living with a chronic disorder. This research paper presents the comprehensive study to identify and review existing mHealth dementia applications (apps), and also synthesize the evidence of using these applications in assisting people with dementia including Alzheimer’s disease (AD) and their caregivers. Six electronic databases searched with the purpose of finding literature-based evidence. The search yielded 2818 research articles, with 29 meeting quantified inclusion and exclusion criteria. Six groups and their associated sub-groups emerged from the literature. The main groups are (1) activities of daily living (ADL) based cognitive training, (2) monitoring, (3) dementia screening, (4) reminiscence and socialization, (5) tracking, and (6) caregiver support. Moreover, two commercial mobile application stores i.e., Apple App Store (iOS) and Google Play Store (Android) explored with the intention of identifying the advantages and disadvantages of existing commercially available dementia and AD healthcare apps. From 678 apps, a total of 38 mobile apps qualified as per defined exclusion and inclusion criteria. The shortlisted commercial apps generally targeted different aspects of dementia as identified in research articles. This comprehensive study determined the feasibility of using mobile Health based applications for dementia including AD individuals and their caregivers regardless of limited available research, and these apps have capability to incorporate a variety of strategies and resources to dementia community care.

Suggested Citation

  • Kanwal Yousaf & Zahid Mehmood & Israr Ahmad Awan & Tanzila Saba & Riad Alharbey & Talal Qadah & Mayda Abdullateef Alrige, 2020. "A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD)," Health Care Management Science, Springer, vol. 23(2), pages 287-309, June.
  • Handle: RePEc:kap:hcarem:v:23:y:2020:i:2:d:10.1007_s10729-019-09486-0
    DOI: 10.1007/s10729-019-09486-0
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    References listed on IDEAS

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    1. Xiang Zhong & Peter Hoonakker & Philip A. Bain & Albert J. Musa & Jingshan Li, 2018. "The impact of e-visits on patient access to primary care," Health Care Management Science, Springer, vol. 21(4), pages 475-491, December.
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    Cited by:

    1. Patrícia Szabó & Jinat Ara & Bence Halmosi & Cecilia Sik-Lanyi & Tibor Guzsvinecz, 2023. "Technologies Designed to Assist Individuals with Cognitive Impairments," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    2. Angelos I. Stoumpos & Fotis Kitsios & Michael A. Talias, 2023. "Digital Transformation in Healthcare: Technology Acceptance and Its Applications," IJERPH, MDPI, vol. 20(4), pages 1-44, February.
    3. Flavia Marino & Chiara Failla & Roberta Bruschetta & Noemi Vetrano & Ileana Scarcella & Germana Doria & Paola Chilà & Roberta Minutoli & David Vagni & Gennaro Tartarisco & Antonio Cerasa & Giovanni Pi, 2023. "TeleRehabilitation of Social-Pragmatic Skills in Children with Autism Spectrum Disorder: A Principal Component Analysis," IJERPH, MDPI, vol. 20(4), pages 1-13, February.
    4. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    5. Abadie, Amelie & Roux, Mélanie & Chowdhury, Soumyadeb & Dey, Prasanta, 2023. "Interlinking organisational resources, AI adoption and omnichannel integration quality in Ghana’s healthcare supply chain," Journal of Business Research, Elsevier, vol. 162(C).
    6. Capponi, Giovanna & Corrocher, Nicoletta, 2022. "Patterns of collaboration in mHealth: A network analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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