Technological acceptance and features needed in mobile health apps development for people living with dementia and their caregivers in Indonesia

Abstract

ABSTRACT In Indonesia, the number of People Living with Dementia (PLWD) is predicted to be rising continuously. PLWD need help operating cell phones for their daily needs. Numerous mobile health applications have been innovated to deliver better dementia care. The objective of this study is to identify the technological acceptance and features needed by PLWD and caregivers in Indonesia. This study started with questionnaire development through focused-group discussion with experts, caregivers and PLWD. It was followed by item development involving experts in geriatrics (psychiatry, internal medicine, medical rehabilitation and neurology) to prepare an online questionnaire. We considered using jargon and words that are familiar to users. The data collected was analyzed for the technological acceptance model (TAM) using Structural Equation Model (SEM). This study showed that perceived usefulness and ease of use of the technology have positively correlated to the actual use. This study reflects the need for social connectedness and information for PLWD. For caregivers, the main feature needed is information related to dementia symptoms and treatment. The understanding gained from this study can be used to improve strategies related to developing mobile health technology for PLWD and caregivers.