彈指之間的健康管理: 血糖監控app使用意圖之研究

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題名:	彈指之間的健康管理: 血糖監控app使用意圖之研究 Health Management at Your Fingertips: Factors Influencing Intentions to Apps for Self-management of Blood Glucose
作者:	陳柏璁
貢獻者:	國際貿易學系
關鍵詞:	行動醫療血糖監控app 整合科技接受模型健康意識
日期:	2023
上傳時間:	2023-07-31 14:44:34 (UTC+8)
摘要:	行動醫療(mhealth)的出現為醫療保健行業得到了顯著的改善。台灣社會正在邁向超老齡社會。人口老化加上現代人飲食精緻化的問題，使糖尿病人口快速成長，更出現了年輕化的趨勢，可見血糖管理已不是只有糖尿病患者需要注意的問題。隨著各類型的行動醫療科技問世，例如：能夠監測身體數據的穿戴型裝置，越來越多人意識到對於自身健康管理的重要性，但依然有很多人並未有在日常生活中記錄血糖的習慣，對於預防糖尿病的效果極其有限，因此，為了瞭解血糖監控app是否能被一般用戶作為日常健康管理之所用，本研究旨在探討影響使用血糖監控app意向的因素。本研究採用整合科技接受模型(UTAUT)，考慮到行動醫療科技在使用時需要向醫療服務提供者提供個人的資料，包含可能較為隱私的個人健康數據，因而決定納入感知風險，並加入健康意識作為調節變數，旨在預測使用血糖監控app進行自我血糖管理的行為意圖。以問卷調查方式蒐集樣本，並使用結構方程模型進行分析和驗證。經過對樣本的分析後發現，六項假說之中有四項獲得支持，績效預期、社會影響和有利條件皆會對血糖監控app的行為意圖有正向影響，而績效預期、投入預期、社會影響和有利條件皆會透過健康意識對血糖監控app的行為意圖產生調節效果。研究結論可為業者、一般用戶和政府提供管理意涵。 Healthcare has been significantly improved due to the emergence of the Mobile health (mhealth). Taiwanese society is moving towards a super-aged society. Aging of the population coupled with the nutritional problems of modern people’s diet, the diabetic population is growing and growing, and at the same time there is a tendency to become younger. It can be seen that self-management of blood glucose is not only a problem that diabetic patients need to pay attention to. This study aims to examine factors influencing intentions to apps for self-management of blood glucose. In order to achieve this objective, this study adopted a research framework applied the unified theory of technology acceptance and use model (UTAUT). Considering that user needs to provide personal data to medical service providers when they using mhealth technology, including personal health data that may be relatively private, we decided to include perceive risk and add health conscious as a moderator variable, aiming to predict the intention of using the blood glucose monitoring app for self-glucose management. Altogether questionnaires were sent out and valid ones were retrieved. Analysis and verification with structural equation modeling is used. After the analysis of the sample, it was found that four of the six hypotheses were supported. Performance Expectancy, Social Influence and Facility Conditions will have a positive effect on the Behavior Intention of the blood glucose monitoring app, while performance expectancy, effort expectancy, social influence and facility conditions all have moderating effects on behavior intention of the blood glucose monitoring app through health conscious. The conclusions of this study can provide management implications for practitioners in medical industry, general users and the government.
顯示於類別:	[國際貿易學系所] 博碩士論文

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