Department of Industrial Engineering & Management, Ariel University, Ariel, Israel.
Department of Information Systems, Sam Walton College of Business, University of Arkansas Fayetteville, Fayetteville, Arkansas 72701, United States.
Int J Med Inform. 2021 Apr;148:104376. doi: 10.1016/j.ijmedinf.2021.104376. Epub 2021 Jan 9.
Hospitals and medical staff use digital devices such as mobile phones and tablets to treat patients. Prior research has examined patient-reported outcomes, and the use of medical devices to do diagnosis and prognosis of patients, but not whether patients like using, and intend to use in future, mobile devices to self-report medical data. We address this research gap by developing a theoretical model based on the expectancy confirmation model (ECM) and testing it in an empirical study of patients using mobile technology to self-report data.
This study adopts a non-interventional cross-sectional research design. Randomly-selected patients provided data via survey and physical measurements. The target population comprises adults visiting a healthcare laboratory to get their blood drawn.
We surveyed 190 randomly-selected patients waiting for treatment in the clinic. They were surveyed at two points in time - before and after their blood was drawn - on their demographic characteristics, research variables concerning their use of mobile devices to provide medical information, and perceived clinical data (blood pressure, height and weight). The research model was tested using structural equation modeling.
The study found strong support for the research model, with seven of eight hypotheses being supported. Both self-disclosure effort and feedback expectation positively affect both perceived feedback quality and confirmation. Contrary to expectations, perceived feedback quality was not found to affect confirmation. Perceived feedback quality, along with confirmation, was found to positively affect satisfaction, which was found to affect intention to disclose medical data through mobile technology.
The study's findings support the proposed path from feedback expectation and self-disclosure effort to confirmation to satisfaction to disclosure intention. Although perceived feedback does not affect confirmation, it affects satisfaction. Overall, we believe the results provide novel insights to both scientific research community and practitioners about using mobile technologies for self-reporting medical data.
医院和医务人员使用移动电话和平板电脑等数字设备为患者进行治疗。先前的研究已经检查了患者报告的结果，以及使用医疗设备对患者进行诊断和预后，但没有研究患者是否喜欢使用以及将来是否愿意使用移动设备来自我报告医疗数据。我们通过基于期望确认模型（ECM）开发理论模型并在使用移动技术自我报告数据的患者的实证研究中对其进行测试来解决这一研究空白。
本研究采用非干预性横断面研究设计。随机选择的患者通过调查和身体测量提供数据。目标人群包括前往医疗保健实验室抽血的成年人。
我们调查了 190 名随机选择的在诊所等待治疗的患者。他们在采血前后两次接受调查，调查他们的人口统计学特征、他们使用移动设备提供医疗信息的研究变量以及感知的临床数据（血压、身高和体重）。使用结构方程模型测试研究模型。
该研究对研究模型提供了强有力的支持，8 个假设中有 7 个得到了支持。自我披露努力和反馈期望均积极影响感知反馈质量和确认。与预期相反，未发现感知反馈质量会影响确认。感知反馈质量以及确认被发现会积极影响满意度，满意度会影响通过移动技术披露医疗数据的意图。
该研究的结果支持从反馈期望和自我披露努力到确认到满意度再到披露意图的建议路径。尽管感知反馈不会影响确认，但它会影响满意度。总体而言，我们相信这些结果为使用移动技术进行自我报告医疗数据的科学界和从业者提供了新的见解。
