Wearable Technologies Acceptance and Adoption by Elderly People in Masaka Uganda

IF 2.7 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
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Abstract

The increased advancement in technology has ushered in wearable technology that can be used in various sectors, including medical services that can ranging from body fitness to remote monitoring of people’s health . Non-communicable diseases (NCDs) have become a big burden in low- and middle-income countries (LMICs) and have significantly contributed to consistent morbidity and mortality, which have played a big role in impending development, due to increased poverty. Wearable technology may provide an integral part of the solution for providing health care to a growing aging population in the world. The philosophical approach used was Post positivist to underpin quantitative research, questionnaires were used to collect data from the elderly and health workers. The research approach was a deductive and Survey strategy which was used hand in hand with the deductive approach, and a cross-sectional time horizon was adopted to support a one round data collection. Data was analyzed using SPSS. Results showed that, Masaka region has not yet adopted Wearable technology, however elderly patients of greater Masaka together with health workers are willing to adopt to wearable technology. The UTAUT-3 model was based on to determine the acceptance and use of technology. Keywords: Non-communicable diseases, elderly people, UTAUT model 3, wearable technologies DOI: 10.7176/IKM/13-6-03 Publication date: September 30 th 2023
乌干达马萨卡老年人对可穿戴技术的接受和采用
技术的不断进步带来了可穿戴技术,可用于各个领域,包括医疗服务,从身体健身到远程监测人们的健康。非传染性疾病已成为低收入和中等收入国家的一个重大负担,并在很大程度上导致了持续的发病率和死亡率,由于贫困加剧,这些疾病在即将到来的发展中发挥了重要作用。可穿戴技术可能为世界上日益增长的老龄化人口提供医疗保健解决方案的一个组成部分。使用的哲学方法是后实证主义来支持定量研究,使用问卷调查来收集老年人和卫生工作者的数据。研究方法是演绎法和调查策略,与演绎法一起使用,并采用横截面时间范围来支持一轮数据收集。数据采用SPSS统计软件进行分析。结果显示,Masaka地区尚未采用可穿戴技术,但大Masaka地区的老年患者和卫生工作者愿意采用可穿戴技术。以UTAUT-3模型为基础确定技术的接受度和使用情况。关键词:非传染性疾病,老年人,UTAUT模型3,可穿戴技术DOI: 10.7176/IKM/13-6-03出版日期:2023年9月30日
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来源期刊
VINE Journal of Information and Knowledge Management Systems
VINE Journal of Information and Knowledge Management Systems INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
6.40
自引率
21.40%
发文量
68
期刊介绍: Information not localized
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