個人健康紀錄使用意向之關鍵因素研究-以預防心血管疾病為例

Abstract

心血管疾病為國內十大死因的前五名，分別為:心臟疾病、腦血管疾病以及高血壓。個人健康紀錄可以促進使用者採取推薦預防性篩檢，能更好的遵守服用藥物以及其他治療，並可為他們提供客製化的建議、教育以及電子提醒機制，這些建議和提醒可以讓使用者和醫療照護者擁有更多的互動以及降低醫療成本。因此綜合文獻探討，本研究針對個人健康紀錄應用於預防心血管疾病，提出五大功能，其分別為「我的健康紀錄」、「歷年檢驗資料」、「查看建議」、「心血管疾病相關衛教」與「健康討論區」，期望使用者能透過此平台，了解與自我相關的危險因子，並能有效管理自我健康。本研究將透過整合性科技接受理論為研究基礎，將「績效期望」、「付出期望」、「促成因素」與「資訊隱私」等變數探討使用者使用個人健康紀錄作為預防心血管疾病之使用意向。 本研究透過問卷調查法，進行資料收集，以新竹科學園區之從業人員作為研究對象，有效問卷為251份，問卷回收率為95.1 %。透過SmartPLS進行各構面之信效度驗證與假說檢定，並提出研究結論與建議。本研究資料分析結果顯示，個人健康紀錄使用意向之關鍵因素為「績效期望」、「促成因素」對使用意向有正向影響，「資訊隱私-控制」對於使用意向有負向影響，且在性別、年齡、健康狀況與自願性等干擾變數，對於各構面與使用意向具有干擾效果。本研究之結果，可作為未來政府或醫院導入個人健康紀錄之參考依據，並建立一套完整的預防心血管疾病之個人健康紀錄系統。

Cardiovascular Disease has been five out of the top ten cause of death in Taiwan, such as “Heart Disease”, “Cerebrovascular Disease” and “Hypertension”. Personal Health Records can help users of recommended preventive screenings, and offers better adherence of medication with other treatment. It provid customized recommendations, education, and electronic reminder mechanism to users. These recommendations and reminders allow both users and medical caregivers have more interaction, and reduce health care costs. In this study, Personal Health Record can help to provide better indicators to prevent Cardiovascular Disease. After we summarize literature review, we took five functions such as “My Health Record”,”Medical Examination History”,”Review Suggestions”,“Cardiovascular Disease Health Learning” , and ” Health Discussion”. For our final study,we are expecting the result of this study helps the user to understand the risk factors of Cardiovascular diseases in more better way as well as user can keep of own health information by himself/herself. This research is based on Unified Theory of Acceptance and Use of Technology (UTAUT), through “Performance Expectancy”, “Effort Expectancy”, “Facilitating Conditions” and “Information Privacy” to understand user’s intention for preventing Cardiovascular Diseases. Questionnaire is used to collect data for this study and Hsinchu Science Park’s office employees are used as a responders. A total 264 questionnaires were sent and 251 respondents complete the questionnaire. So the valid rate is 95.1%. PLS was used to test all hypotheses as well as to test reliability and validity. The results of this study indicates the factors“Performance Expectancy”, “Facilitating Conditions” have positive influence and “Information Privacy-Collection” has negative influence in the intention of using PHR.The moderator factors such as “Sex”, “Age”, “Health Status” and “Volunteer” have influence between “Each Factors” and “Use Intention”.So, we expect that in the future Government or Hospital can reference the results of this study to develop the Personal Health Records, and to establish a complete personal health records system to prevent Cardiovascular Disease.