Perception and Initial Adoption of Mobile Health Services of Older Adults in London: Mixed Methods Investigation (Preprint)

Abstract

BACKGROUND Advances in mobile technology and public needs have resulted in the emergence of mobile health (mHealth) services. Despite the potential benefits of mHealth apps, older adults face challenges and barriers in adopting them. OBJECTIVE The aims of this study are to understand older adults’ perception of mHealth services and to discover the barriers that older adults face in the initial adoption of mHealth apps. METHODS This paper systematically analyzed main determinants related to mHealth services and investigated them through questionnaires, interviews, and a workshop. Two studies were carried out in London. In study 1, the questionnaires with follow-up interviews were conducted based on the literature review to uncover older adults’ perception (including perceived usefulness, perceived ease of use, and perceived behavioral control) of mHealth services. Study 2 was a workshop helping older adults to trial selected mHealth apps. The workshop was conducted by the first author (JP) with assistance from 5 research students. The barriers that older adults faced in the initial adoption period were observed. The interviews and workshop were audiotaped and transcribed. Descriptive statistics and the thematic analysis technique were used for data analysis. RESULTS In total, 30 older adults in London completed the questionnaires and interviews in study 1. The results of study 1 show that the lack of obvious advantage, low reliability, scary information, and the risk of privacy leakage would decrease older adults’ <i>perceived usefulness</i> of mHealth services; the design of app interface would directly affect the <i>perceived ease of use</i>; and aging factors, especially the <i>generation gap</i>, would create barriers for older users. In total, 12 participants took part in the workshop of study 2, including 8 who took part in study 1. The results of study 2 identified that <i>access to technology</i>, <i>the way of interaction</i>, <i>the risk of money loss</i>, <i>heavy workload</i> of using an mHealth app, and <i>different lifestyle</i> are influential factors to older adults’ adoption of mHealth services. CONCLUSIONS The perceptions of mHealth services of older adults were investigated; the barriers that older adults may face in the initial adoption stage were identified. On the basis of the synthesis of these results, design suggestions were proposed, including <i>technical improvement</i>, <i>free trial</i>, <i>information clarification</i>, and <i>participatory design</i>. They will help inform the design of mHealth services to benefit older adults.