A study of the elderly people’s perception of wearable device forms

Shieh, Ming-Der; Hsiao, Hsu Chan; Lin, Yi Hsien; Lin, Jenn Yang

doi:10.1080/09720502.2016.1258839

Cited by 7 publications

(6 citation statements)

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“…The service elements in the surplus area were items 15,17,18,19, and 20, indicating that service demand is below the average, and customers are not concerned with these services. Service satisfaction is higher than the average, indicating that resources are being misplaced or wasted.…”

Section: Importance-satisfaction Model Resultsmentioning

confidence: 99%

“…In the past, people around the world looked upon older adults as vulnerable and in need of care [8]. Through solutions provided by social welfare programs, we have gradually changed the traditional image that older adults are dependent towards a more positive image [15]. In addition to providing social benefits, such as nursing and medical care, we assist older adults in matters of self-reliance and self-esteem.…”

Section: Long-term Care Act 20 Of Taiwanmentioning

confidence: 99%

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Using the Importance–Satisfaction Model and Service Quality Performance Matrix to Improve Long-Term Care Service Quality in Taiwan

2019

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The present study integrates the importance–satisfaction (I-S) model and service quality performance matrix (SQPM) to examine long-term care (LTC) service demands and satisfaction improvement. Many scholars have used a single model to explore project improvement. Each model has advantages, but we think they are too subjective and suggest that it is best to integrate models to determine what should be improved. We established quality attributes of service demands based on more than two sessions of discussions and expert consultations with LTC service users (older adults). The final questionnaire was divided into three parts: a demand survey, satisfaction survey, and demographics survey, and 292 valid questionnaires were collected. The questionnaire items were summarized with means and standard deviations. In this study, if only the I-S model was used to examine LTC in Taiwan, then seven service elements of the system would need to be improved. However, if only the SQPM method was used, then 16 service elements would need to be improved. Only seven service elements were identified by both methods. When time and resources are limited, it is not feasible to take comprehensiveness into account. When many projects must be improved and it is impossible to implement them at the same time, improvement priorities need to be developed. Taiwan lacks sufficient LTC resources, so it is impossible to provide enough resources for all those who need care. To use resources efficiently, the I-S model and SQPM were integrated in this study to identify areas for improvement.

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Section: Importance-satisfaction Model Resultsmentioning

confidence: 99%

Section: Long-term Care Act 20 Of Taiwanmentioning

confidence: 99%

Using the Importance–Satisfaction Model and Service Quality Performance Matrix to Improve Long-Term Care Service Quality in Taiwan

2019

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“…They help reduce medical resource costs and promote healthy lifestyles. The commercial potential of mobile medicine and eHealth wearables have skyrocketed in recent years with the sharp rise in the demand for chronic disease monitoring, long-term care, and self-health management [6,7]. Smart wearables are equipped with sensors and transmitters to monitor, collect, display, and transmit data automatically and perpetually [8].…”

Section: Literature Review 21 Ehealth Wearables and Elders' Healthmentioning

confidence: 99%

“…eHealth wearables provide users with a mobile physiological tracker to monitor their heart rate, heart rhythm, blood pressure, breathing, body temperature, and blood oxygen concentration [7,16]. They can be worn for long periods and are suitable for 24 h disease monitoring [6,17].…”

Section: Literature Review 21 Ehealth Wearables and Elders' Healthmentioning

confidence: 99%

A Performance Evaluation Matrix for Measuring the Life Satisfaction of Older Adults Using eHealth Wearables

2022

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eHealth wearables can track users’ state of health, record their physiological data, and facilitate self-care. In this study, we examined whether they enhance older adults’ casual exercise willingness and life satisfaction. After reviewing the related literature, the performance and satisfaction of elements for older adults to use eHealth Wearables were determined. The elements were derived from the means–end chain analysis. Three dimensions, product attributes, beneficial consequences, personal values, and responding elements, were identified first. The Performance Evaluation Matrix (PEM) was then established to determine the elements to be improved. A total of 250 questionnaires were distributed, out of which 206 valid questionnaires were completed and returned. In the proposed PEM, the product attributes that were in the priority improvement zone were accessibility, learnability, usability, affordability, positioning, pedometer, heart rate monitor, and data feedback. These elements are the most essential properties in need of improvement.

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“…A mobile health device (mHealth) is a small communication device that works with a smartphone or a tablet computer to help people manage their health at any time, reducing the use of medical resources and improving quality of life. Medical smart wearable devices have emerged as products with commercial potential in recent years due to the increased demand for chronic disease monitoring, long-term care, and self-directed health management [ 15 , 22 ]. Wang et al [ 14 ] pointed out that smart wearable devices have the function of sensor connectivity, with the capability to sense, collect, display, or transmit information over time, and the ability to transmit data over the Internet and can be used for long periods of time without interfering with daily routines.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Older Adults’ Perceived Values of Using Smart Bracelets by Means–End Chain

2020

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To cope with the demands for medical care in an aging society, smart healthcare wearable devices that can measure physiological signals are being regarded as the primary tools in medical care programs, allowing the users to acquire basic health data. Although the smart healthcare wearable devices could be applied to disease management and prevention that could help older adults control their health, older adults must be willing and able to use and continue to use them. In this research, interviews conducted through means–end chain (MEC) and laddering were used to guide the older adults step-by-step by explaining abstract ideas and emphasizing value in their perceptions of specific attributes. A “hierarchical value map” was further constructed to confirm the perceived value of smart healthcare wearable devices to older adults. The research results showed that, in terms of attribute functions, seniors believed that smart bracelets in mobile health devices should have the attributes of safe use, real-time information feedback, correct data, comfortable wear, and clear screen. In terms of consequent benefits, older adults can use smart bracelets in mobile health devices to gain benefits in learning about smart products, understanding technology applications, increasing health awareness and relaxation, and satisfying curiosity. In terms of value goals, older adults want to achieve the value goals of a sense of social belonging, improved quality of life, and healthier bodies. Health is the most important thing for older adults, but previous research has often focused on the use of equipment for physical examinations; relatively few studies have allowed older adults to experience the equipment personally. The device can provide the ultimate value of long-term health promotion for older adults.

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A study of the elderly people’s perception of wearable device forms

Cited by 7 publications

References 0 publications

Using the Importance–Satisfaction Model and Service Quality Performance Matrix to Improve Long-Term Care Service Quality in Taiwan

Using the Importance–Satisfaction Model and Service Quality Performance Matrix to Improve Long-Term Care Service Quality in Taiwan

A Performance Evaluation Matrix for Measuring the Life Satisfaction of Older Adults Using eHealth Wearables

Analyzing Older Adults’ Perceived Values of Using Smart Bracelets by Means–End Chain

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