Development of OSOMO Prompt Mobile Application on Elderly Population for Village Health Volunteers Using the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) Model

Abstract

This paper aims to describe the use ADDIE model in developing a digital health tool, OSOMO Prompt app, and discuss evaluation outcomes of using this digital tool by village health volunteers (VHV) in rural areas in Thailand. The OSOMO prompt app was developed and implemented in elderly populations in eight rural areas. The Technology Acceptance Model (TAM) was used to test the acceptance of the app four month after the implementation. There were 601 VHVs voluntarily involved in the evaluation phase. The ADDIE model was successfully employed to guide the research team to develop the OSOMO Prompt app consisting of four services delivered to elderly populations by VHVs, including: 1) health assessment; 2) home visit; 3) knowledge management; and 4) emergency report. The findings from the evaluation phase reported that the OSOMO Prompt app was accepted as utility and simplicity (score 3.95+.62); and valuable digital tool (score 3.97+.68). The app received the highest score for being a useful tool assisting VHVs in achieving their work goals and improving work performance (score 4.0+.66). The OSOMO Prompt app could be modified for other healthcare services in different populations. Further investigation in long-term use and its impact on healthcare system is warranted.

Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT

“…Positive attitudes toward using technology are likely to enhance acceptance and adoption among the elderly. [1,5,7,16,[25][26][27][28][29][30] Behavioral Intention to Use (BI):…”

“…TAM can help understand the factors influencing the adoption of wearable health devices among the elderly, including smartwatches or fitness trackers that monitor vital signs and activity levels. [28,45,46] Mobile Health Applications:…”

“…Evaluating the acceptance of mobile health applications tailored for elderly users, considering factors like user-friendliness, perceived usefulness, and ease of navigation. [4,5,15,19,24,28,47,48] Health Information Systems:…”

“…Parallelly, Perceived Ease of Use (PEOU) assumes significance, gauging the elderly individuals' belief in the technology being user-friendly and effortlessly navigable [8,[14][15][16]24,25,[81][82][83][84]. Attitude Toward Using (ATU) encapsulates their overall evaluation of adopting specific healthcare technologies, where positive attitudes significantly influence acceptance [1,5,7,16,[25][26][27][28][29][30]. Behavioral Intention to Use (BI) delves into the expressed willingness of the elderly to embrace these technologies in the future, underscoring their readiness to manage healthcare needs digitally [7,25,27,31].…”

“…The TAM has served as a valuable framework for assessing the elderly's perception and acceptance of various healthcare technologies. In the realm of telehealth, TAM can be employed to gauge how elderly individuals perceive and embrace remote consultations, monitoring, and virtual care technologies [24,28,34,[37][38][39][40][41][42][43][44][81][82][83][84]. Furthermore, TAM has been proven useful in understanding the factors influencing the adoption of wearable health devices among the elderly, including smartwatches and fitness trackers designed to monitor vital signs and activity levels [28,45,46].…”