The Use of Conjoint Analysis to Construct Healthcare Application Assessment Model

碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 101 === Due to the growth in the proportion of the elderly population, the demand for medical care increases rapidly. Also, the appearance of healthcare applications not only makes an opportunity to assist people in health care, health monitoring, and self-mana...

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Bibliographic Details
Main Authors: Chun-Wei Chang, 張竣維
Other Authors: Hsueh-Yi, Lu
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/13468158590123584756
Description
Summary:碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 101 === Due to the growth in the proportion of the elderly population, the demand for medical care increases rapidly. Also, the appearance of healthcare applications not only makes an opportunity to assist people in health care, health monitoring, and self-management but also promote public health and reduce the use of medical resources. However, as the rapid growth of the health-related app services, there could be involved some risks or harmful content in the applications. People may get harm without the understanding of misuse. In order to avoid the harmful content and risks, a healthcare App assessment model is necessary to help people, medical institutes, or the relevant government department in filtering the use of healthcare Apps. Therefore, the purpose of this study is to construct a healthcare App assessment model with conjoint analysis. The process of constructing a healthcare Apps assessment model will divide into three stages, the first stage is to find the attributes and levels which affect people’s prefer in evaluating the healthcare Apps as well as define the success definition about a healthcare App. The second stage is setting the weight of the levels. This stage will separates in two parts. The first part is about the design of the survey. The second part is the data analysis. The results indicate that the App functions “Medical information record and display”, “Disease-related alert and reminder” and “Communication with medical specialists” will affect the evaluation of Apps. Furthermore, the result shows that the level of education and age are related to the will of payment. The result of model evaluation indicates that result of model is statistical related with the evaluation of people.