Caregivers' Technology Acceptance of an In-Home Care Management App: A Mixed-Methods Study

Tzu Ning Wen, Hao Ming Li, Tzu Chuan Hsu, Po Lun Chang

Research output: Contribution to journalArticlepeer-review

Abstract

Taiwan faces challenges in providing long-term family care as its population rapidly ages. This study aimed to construct a health application that could effectively meet family caregivers' needs in providing home care. Mixed methods were adopted to explore their acceptance of the application, as well as to gather their suggestions for improving the application. A nonrandomized controlled group pretest-posttest design was utilized. The participants were family caregivers who were recruited via purposive sampling at a regional hospital in Taipei, Taiwan. The caregivers used the application to monitor and manage the health of those they were caring for. Elderly family caregivers scored 1.57 and 1.16 points higher than their middle-aged counterparts in terms of performance expectancy (0.61-2.53, P = .01) and effort expectancy (0.25-2.06, P = .01), respectively. The caregivers opined that it was convenient to use the application for managing the health data of their patients, and resources and solutions for overcoming problems when using the application were easily within their reach. They also suggested that relevant information for promoting patient mental health could also be included in the application. Thus, the software is acceptable to all the family caregivers regardless of age, indicating that it can assist family caregivers in the future in performing home care management.

Original languageEnglish
Pages (from-to)419-426
Number of pages8
JournalCIN - Computers Informatics Nursing
Volume40
Issue number6
DOIs
StatePublished - 1 Jun 2022

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