影響行動健康使用意圖之因素研究

Abstract

長達三年多的疫情，使得國人對自身健康議題的重視程度日益增加，而能促進健康的方式不外乎是在日常落實自我健康管理，不管是一般民眾，抑或是有慢性病等需要時刻關切身體情況的人，比起需額外獲取的服務(如就醫或諮詢等)，透過人手一機的智慧型手機或行動裝置就能輕易地取得協助記錄與管理健康的客製化服務。然而，行動健康的普及率並不及對健康議題的重視程度，因此，藉由瞭解人們對於使用行動健康的影響因素，以供政府與相關服務供應商日後發展與調整之方向。本研究以延伸性整合科技接受模式結合隱私變數作為研究理論基礎，藉此探討影響使用者使用行動健康之意圖的潛在因素。本研究藉由線上社群以問卷法進行資料蒐集，有效問卷共275份，回收率約為87%。根據分析結果，影響使用行動健康意圖的因素為績效期望、社會影響、娛樂動機、價格知覺與習慣，努力期望、促進條件與隱私則對使用意圖無影響，而性別在促進條件與使用意圖間具調節作用，年齡則是在影響因素與使用意圖間無調節作用。研究結果能進一步讓相關組織瞭解並使行動健康朝著擴大採用之方向前進。People have been valuing health issues increasingly since the coronavirus pandemic broke out. The way to promote health is no more than implementing self-health management in daily life. Compared to extra services such as consultation, it is much easier to get personalized health-related services through a mobile phone. Also, whether ordinary people or people who may have chronic diseases needing to care about their health conditions all the time can obtain the services based on their need without difficulties. However, the adoption of mobile health (mHealth) is inferior to the level of people paying attention to health issues. Then, knowing factors influencing the intention of using mHealth conduces to the direction of mHealth adjustment and development. Hence, in order to make sense of mHealth using intention, this study takes the combination of Extending Unified Theory of Acceptance and Use of Technology (UTAUT2) and Privacy variables as the theoretical basis of this research.This research uses questionnaire survey through social media platforms to collect data. Totally 275 valid questionnaires were received with an effective rate of 87%. Next, the results show the factors of using mHealth intention are performance expectancy, social influence, hedonic motivation, price value, and habit. On the other side, effort expectancy, facilitating conditions and privacy do not have influence on mHealth usage. Besides, gender does moderate facilitating conditions, but age has no moderation effects. Therefore, based on the results, the related organizations can know about mHealth usage intentions, and make mHealth move toward to a greater adoption.