Abstract
This paper focused on understanding the growing demand for consumer-oriented health information technologies (CHITs) wearable and adult healthcare management apps. This study utilised the Technology Acceptance Model (TAM) and integrated the concept of perceived risk. The structural Equation Modelling (SEM) technique was applied to test the research hypotheses based on the 450 quantitative responses. This study confirms significant relationships between perceived usefulness, perceived ease of use, perceived risk, attitude, behavioural intention, and actual intention in using CHITs. The findings also showed no evidence to conclude that age and education influenced respondents perceived usefulness and perceived ease of the CHITs. This study incorporated the perceived risk to fill a gap in the literature and broaden the current TAM theoretical application in the public health setting. The study findings fill the health-related technology acceptance literature gap and broaden TAM's present application in the public health setting.
Highlights
Since the early 21st century, there have been noticeable changes in technological development in the field of healthcare
This study empirically assesses the relationship between consumer-oriented health information technologies (CHITs) perceived usefulness, perceived ease of use, perceived risk and consumer attitude, behavioural intention, and actual usage
This study highlights that CHIT is a promising concept to improve the personal care experience and improve population health
Summary
Since the early 21st century, there have been noticeable changes in technological development in the field of healthcare. There is an increased number of wellconnected and well-informed users for information dispersal, especially in healthcare Demographic changes such as the ageing population with an increasing chronic disease mean a growing demand for health care services [1,2]. HITs are defined as healthcare provider organisations’ technologies in the patient care setting [5] It deals with a broad range of technologies that store, share, and analyse patients’ health information [8,9]. Studies found that the rejection reasons include the poor design of technology, lack of functional value, hard to use, and offering technology features that have functional ability [18,19,20] It is a significant concern because the non-acceptance or nonusage behaviour means the CHITs do not benefit user well-being. It is followed by a discussion of the study implications, followed by the concluding remarks
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