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Wang Q, Liu J, Zhou L, Tian J, Chen X, Zhang W, Wang H, Zhou W, Gao Y. Usability evaluation of mHealth apps for elderly individuals: a scoping review. BMC Med Inform Decis Mak 2022; 22:317. [PMID: 36461017 PMCID: PMC9717549 DOI: 10.1186/s12911-022-02064-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 11/23/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Usability is a key factor affecting the acceptance of mobile health applications (mHealth apps) for elderly individuals, but traditional usability evaluation methods may not be suitable for use in this population because of aging barriers. The objectives of this study were to identify, explore, and summarize the current state of the literature on the usability evaluation of mHealth apps for older adults and to incorporate these methods into the appropriate evaluation stage. METHODS Electronic searches were conducted in 10 databases. Inclusion criteria were articles focused on the usability evaluation of mHealth apps designed for older adults. The included studies were classified according to the mHealth app usability evaluation framework, and the suitability of evaluation methods for use among the elderly was analyzed. RESULTS Ninety-six articles met the inclusion criteria. Research activity increased steeply after 2013 (n = 92). Satisfaction (n = 74) and learnability (n = 60) were the most frequently evaluated critical measures, while memorability (n = 13) was the least evaluated. The ratios of satisfaction, learnability, operability, and understandability measures were significantly related to the different stages of evaluation (P < 0.05). The methods used for usability evaluation were questionnaire (n = 68), interview (n = 36), concurrent thinking aloud (n = 25), performance metrics (n = 25), behavioral observation log (n = 14), screen recording (n = 3), eye tracking (n = 1), retrospective thinking aloud (n = 1), and feedback log (n = 1). Thirty-two studies developed their own evaluation tool to assess unique design features for elderly individuals. CONCLUSION In the past five years, the number of studies in the field of usability evaluation of mHealth apps for the elderly has increased rapidly. The mHealth apps are often used as an auxiliary means of self-management to help the elderly manage their wellness and disease. According to the three stages of the mHealth app usability evaluation framework, the critical measures and evaluation methods are inconsistent. Future research should focus on selecting specific critical measures relevant to aging characteristics and adapting usability evaluation methods to elderly individuals by improving traditional tools, introducing automated evaluation tools and optimizing evaluation processes.
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Affiliation(s)
- Qiuyi Wang
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Jing Liu
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Lanshu Zhou
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China.
| | - Jing Tian
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Xuemei Chen
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Wei Zhang
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - He Wang
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Wanqiong Zhou
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
| | - Yitian Gao
- Clinical Nursing Department, Naval Medical University, 800 Xiang Yin Road, Yangpu District, Shanghai, 200433, China
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Chen Z, Qi H, Wang L. Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption. Healthcare (Basel) 2021; 9:healthcare9111494. [PMID: 34828539 PMCID: PMC8619684 DOI: 10.3390/healthcare9111494] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/29/2021] [Accepted: 10/29/2021] [Indexed: 11/16/2022] Open
Abstract
[Background]: In recent years, aging has become a global social problem. Intelligent health management technology (IHMT) provides solutions for the elderly to deal with various health risks. However, the elderly are facing many difficulties in using IHMT. Studying the application types of IHMT and the influencing factors of the elderly’s acceptance of it will help to improve the use behavior of the elderly. [Methods]: This paper summarizes the application types of IHMT, identifies the influencing factors of the elderly’s adaption of IHMT, and makes a systematic comment on the influencing factors. [Results]: We divide the different functions of IHMT for the elderly into four types: self-monitoring, medical care, remote monitoring, and health education. The influencing factors are divided into three types: individual, social, and technology. [Conclusions]: This study finds that IHMT’s application covers all aspects of the health services of the elderly. Among these applications, self-monitoring is the most used. We divided the influencing factors of the elderly’s acceptance of IHMT into three categories and nine subcategories, having 25 variables.
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Affiliation(s)
- Zhu Chen
- School of Nursing, Peking University, Beijing 100191, China;
| | - Huiying Qi
- Department of Health Informatics and Management, School of Health Humanities, Peking University, Beijing 100191, China;
- Correspondence: ; Tel.: +86-10-82805574
| | - Luman Wang
- Department of Health Informatics and Management, School of Health Humanities, Peking University, Beijing 100191, China;
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