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This paper is in the following e-collection/theme issue:

Assisted Living for the Elderly and Nursing Home Care (216) Mobile Health (mhealth) (3726) Usability of Apps and User Perceptions of mHealth (1257) Focus Groups and Qualitative Research for Human Factors Research (1341) Design and Formative Evaluation of Mobile Apps (841) Assistive Technologies (172) Usability and Technology Use Studies with Elder Subjects (303) Mobile Devices and Apps for Seniors and Healthy Aging (296) Supporting Home Care and Family Caregivers (285)

Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37521, first published .
Technology Acceptance and Usability of a Mobile App to Support the Workflow of Health Care Aides Who Provide Services to Older Adults: Pilot Mixed Methods Study

Technology Acceptance and Usability of a Mobile App to Support the Workflow of Health Care Aides Who Provide Services to Older Adults: Pilot Mixed Methods Study

Technology Acceptance and Usability of a Mobile App to Support the Workflow of Health Care Aides Who Provide Services to Older Adults: Pilot Mixed Methods Study

Authors of this article:

Antonio Miguel Cruz1, 2, 3 Author Orcid Image ;   Hector Perez Lopez Portillo3 Author Orcid Image ;   Christine Daum2, 3 Author Orcid Image ;   Emily Rutledge3 Author Orcid Image ;   Sharla King4 Author Orcid Image ;   Lili Liu3 Author Orcid Image
Article Authors Cited by (16) Tweetations (6) Metrics

Journals

  1. Rios Rincon A, Guptill C, Guevara Salamanca J, Liubaoerjijin Y, Figeys M, Gregson G, Miguel-Cruz A. Understanding the Technology Acceptance and Usability of a New Device for Hand Therapy: Qualitative Descriptive Study. JMIR Rehabilitation and Assistive Technologies 2022;9(4):e42385 View
  2. Park C, Mishra R, York M, Enriquez A, Lindsay A, Barchard G, Vaziri A, Najafi B. Tele-Medicine Based and Self-Administered Interactive Exercise Program (Tele-Exergame) to Improve Cognition in Older Adults with Mild Cognitive Impairment or Dementia: A Feasibility, Acceptability, and Proof-of-Concept Study. International Journal of Environmental Research and Public Health 2022;19(23):16361 View
  3. Perez H, Miguel-Cruz A, Daum C, Comeau A, Rutledge E, King S, Liu L. Technology Acceptance of a Mobile Application to Support Family Caregivers in a Long-Term Care Facility. Applied Clinical Informatics 2022;13(05):1181 View
  4. Gambo I, Bueno-Delgado M, Mooses K, Melero Muñoz F, Zviel-Girshin R, Andrushevich A, Mrissa M, Landowska A, Taveter K. Technology adoption review for ageing well: analysis of technical solutions. Frontiers in Public Health 2023;11 View
  5. Jeon H, Choi Y, Lim Y. A web-based care assistant for caregivers of the elderly: Development and pilot study. DIGITAL HEALTH 2023;9 View
  6. Rayling S, Krafft J, Diener J, Krell-Rösch J, Wunsch K, Woll A. Digitale Bewegungsförderung und Sturzprävention in Pflegeeinrichtungen – der Status-Quo von Technikaffinität und der Bereitschaft zur Nutzung digitaler Lösungen bei Pflegepersonal. German Journal of Exercise and Sport Research 2024;54(2):221 View
  7. Zhu J, Weng H, Ou P, Li L. Use and Acceptance of Smart Elderly Care Apps Among Chinese Medical Staff and Older Individuals: Web-Based Hybrid Survey Study. JMIR Formative Research 2023;7:e41919 View
  8. Palacpac E, Pacsa Balingit K, Dinulos Bonifacio A, Villanueva M, Tolentino R, Uy-DeGuia M, Tolentino Llantada P, Castillo C, Brul B, Adecer Rubio H, Abes M. Evaluating the Usability, Perceived Performance, and Perceived Effects of KBGAN iHealth© and KBGAN iFeed© Mobile Apps for Buffalo Management in Selected Municipalities in the Philippines. Journal of Buffalo Science 2024;13:31 View
  9. Bults M, van Leersum C, Olthuis T, Siebrand E, Malik Z, Liu L, Miguel-Cruz A, Jukema J, den Ouden M. Acceptance of a Digital Assistant (Anne4Care) for Older Adult Immigrants Living With Dementia: Qualitative Descriptive Study. JMIR Aging 2024;7:e50219 View
  10. Kim S. Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT. Technologies 2024;12(5):68 View
  11. Jiménez-Díaz A, Pierantonelli M, Morte Coscolín P, Salinas-Uhalte A, Quer-Palomas S, Rivera-Romero O, Herrero R, Fernández-Luque L, Baños R, Berrios R, de Arriba A. Digital Health Program to Support Family Caregivers of Children Undergoing Growth Hormone Therapy: Qualitative Feasibility Study. JMIR Pediatrics and Parenting 2025;8:e55023 View
  12. Zhou X, Gu F, Li Z, Li Y, Liu X, Liu X, Huang T. Knowledge, attitudes, and practices regarding intrinsic capacity in the elderly population: A cross-sectional study in Shanghai, China. Scientific Reports 2025;15(1) View
  13. Yee A, Yaffe M, Schuster T, Lambert S, Abbasgholizadeh-Rahimi S. Family caregivers’ acceptance of Artificial Intelligence-enabled technologies for providing care to older adults. BMC Geriatrics 2025;26(1) View
  14. Cruz A, Hyde A, Purdy G, Ismond K, Cruz C, Etruw E, Suderman K, Stickland M, Spence J, Lien D, Bhanji R, Prado C, McNeely M, Tandon P. Factors Affecting Technology Acceptance and Usability of a Personalized Online Nutrition and Exercise Web-Based App (Heal-Me): A Multimethods Study. Applied Clinical Informatics 2026;17(02):296 View

Books/Policy Documents

  1. Greenfield J, de Oliveira K, Delcroix V, Lepreux S, Kolski C, Blanchard-Dauphin A. Human-Computer Interaction – INTERACT 2023. View

Conference Proceedings

  1. Al-Jaroodi J, Mohamed N, Kesserwan N, Jawhar I. 2023 IEEE International Systems Conference (SysCon). Human Factors Affecting the Adoption of Healthcare 4.0 View