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测量患者使用移动医疗服务进行慢性病自我管理的持续使用效果:模型开发与验证。

Measuring Success of Patients' Continuous Use of Mobile Health Services for Self-management of Chronic Conditions: Model Development and Validation.

机构信息

Centre for Digital Transformation, School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia.

Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia.

出版信息

J Med Internet Res. 2021 Jul 13;23(7):e26670. doi: 10.2196/26670.

DOI:10.2196/26670
PMID:34255685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8317034/
Abstract

BACKGROUND

Mobile health services are gradually being introduced to support patients' self-management of chronic conditions. The success of these services is contingent upon patients' continuous use of them.

OBJECTIVE

This study aims to develop a model to measure the success of patients' continuous use of mobile health services for the self-management of chronic conditions.

METHODS

The proposed model was derived from the information systems continuance model and the information systems success model. This model contains 7 theoretical constructs: information quality, system quality, service quality, perceived usefulness, user satisfaction, perceived health status, and continuous use intention. A web-based questionnaire survey instrument was developed to test the model. The survey was conducted to collect data from 129 patients who used a mobile health app for hypertension management from 2017 to 2019. The questionnaire items were derived from validated instruments and were measured using a 5-point Likert scale. The partial least squares modelling method was used to test the theoretical model.

RESULTS

The model accounted for 58.5% of the variance in perceived usefulness (R=0.585), 52.3% of the variance in user satisfaction (R=0.523), and 41.4% of the variance in patients' intention to make continuous use of mobile health services (R=0.414). The continuous use intention was significantly influenced by their perceived health status (β=.195, P=.03), perceived usefulness (β=.307, P=.004), and user satisfaction (β=.254, P=.04) with the mobile health service. Information quality (β=.235, P=.005), system quality (β=.192, P=.02), and service quality (β=.494, P<.001) had a significantly positive influence on perceived usefulness but not on user satisfaction. Perceived usefulness had a significantly positive influence on user satisfaction (β=.664, P<.001). In a result opposite to the original hypothesis, perceived health status did not negatively influence patients' intention to continue using the mobile health service but showed a significantly positive correlation.

CONCLUSIONS

This study developed a theoretical model to predict and explain patients' continuous use of mobile health services for self-management of chronic conditions and empirically tested the model. Perceived usefulness, user satisfaction, and health status contributed to patients' intention to make continuous use of mobile health services for self-managing their chronic conditions.

摘要

背景

移动医疗服务正逐步引入,以支持患者对慢性病的自我管理。这些服务的成功与否取决于患者对其的持续使用。

目的

本研究旨在开发一种衡量患者对慢性病自我管理的移动医疗服务持续使用的成功模型。

方法

所提出的模型源自信息系统持续使用模型和信息系统成功模型。该模型包含 7 个理论结构:信息质量、系统质量、服务质量、感知有用性、用户满意度、感知健康状况和持续使用意向。开发了一个基于网络的问卷调查工具来测试该模型。该调查于 2017 年至 2019 年期间,从使用移动健康应用程序管理高血压的 129 名患者中收集数据。问卷项目来自经过验证的工具,并使用 5 点李克特量表进行测量。偏最小二乘建模方法用于测试理论模型。

结果

该模型解释了感知有用性(R2=0.585)的 58.5%、用户满意度(R2=0.523)的 52.3%和患者持续使用移动医疗服务意向(R2=0.414)的 41.4%的差异。连续使用意向受其感知健康状况(β=.195,P=.03)、感知有用性(β=.307,P=.004)和用户满意度(β=.254,P=.04)的显著影响。信息质量(β=.235,P=.005)、系统质量(β=.192,P=.02)和服务质量(β=.494,P<.001)对感知有用性有显著正向影响,但对用户满意度没有影响。感知有用性对用户满意度有显著正向影响(β=.664,P<.001)。与原始假设相反的结果是,感知健康状况并没有对患者继续使用移动医疗服务的意愿产生负面影响,而是表现出显著的正相关。

结论

本研究开发了一个理论模型来预测和解释患者对慢性病自我管理的移动医疗服务的持续使用,并对该模型进行了实证检验。感知有用性、用户满意度和健康状况有助于患者持续使用移动医疗服务来自我管理他们的慢性病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd0/8317034/7c1000ca677f/jmir_v23i7e26670_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd0/8317034/7f7055928ce1/jmir_v23i7e26670_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd0/8317034/7c1000ca677f/jmir_v23i7e26670_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd0/8317034/7f7055928ce1/jmir_v23i7e26670_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd0/8317034/7c1000ca677f/jmir_v23i7e26670_fig2.jpg

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JMIR Mhealth Uhealth. 2020 Apr 6;8(4):e17258. doi: 10.2196/17258.
3
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4
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5
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6
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10
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9
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