Objectives

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.

Design

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.

Materials and Methods

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.

Results

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.

Conclusions

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.

中文翻译：

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使用移动技术在候诊室报告健康数据：患者的期望和确认

目标

医院和医务人员使用手机和平板电脑等数字设备来治疗患者。先前的研究已经检查了患者报告的结局，以及使用医疗设备进行患者的诊断和预后，但患者是否喜欢使用并打算在将来使用移动设备自我报告医疗数据。我们通过建立基于期望确认模型（ECM）的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。

设计

本研究采用了非介入性的横断面研究设计。随机选择的患者通过调查和物理测量提供数据。目标人群包括前往医疗实验室抽血的成年人。

材料和方法

我们调查了190名随机选择的患者在诊所等待治疗。在抽血之前和之后的两个时间点对他们进行了调查，调查对象包括人口统计学特征，有关使用移动设备提供医疗信息的研究变量以及可感知的临床数据（血压，身高和体重）。使用结构方程模型对研究模型进行了测试。

结果

该研究为该研究模型提供了强有力的支持，八个假设中的七个得到了支持。自我披露的努力和反馈期望都对感知反馈质量和确认产生积极影响。与期望相反，未发现感知的反馈质量会影响确认。发现感知的反馈质量以及确认信息对满意度产生了积极影响，满意度被认为影响了通过移动技术公开医疗数据的意愿。

结论

该研究结果支持从反馈期望和自我披露努力到确认到满意再到披露意图的拟议路径。尽管感知到的反馈不影响确认，但会影响满意度。总体而言，我们认为研究结果为科研团体和从业人员提供了有关使用移动技术自我报告医疗数据的新颖见解。