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一份评估移动健康应用程序可用性和用户体验的问卷的验证

Validation of a Questionnaire to Assess the Usability of and User Experience with Mobile Health Applications.

作者信息

de Dios López Anna, Real Jordi, Meza Claudia, Borras-Santos Alicia, Collado-Borrell Roberto, Escudero-Vilaplana Vicente, Gomis-Pastor Mar

机构信息

Digital Health Validation Center, Hospital de la Santa Creu i Sant Pau, Sant Pau Campus Salut Barcelona, 08001 Barcelona, Spain.

Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77 79, 08041 Barcelona, Spain.

出版信息

Healthcare (Basel). 2024 Nov 21;12(23):2328. doi: 10.3390/healthcare12232328.

DOI:10.3390/healthcare12232328
PMID:39684949
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11640890/
Abstract

BACKGROUND/OBJECTIVES: The growing use of mobile health (mHealth) applications needs reliable tools to assess their usability and user experience in clinical practice to improve the digital health (eHealth) interventions and ensure engagement, as higher engagement is often linked to increased efficacy of healthcare interventions. This study aimed to validate the patient Satisfaction and Usability with APPs questionnaire (pSUAPP), a multidimensional tool designed for the comprehensive assessment of mHealth applications, particularly for the integrated follow-up of patients with chronic diseases.

METHODS

A validation study was conducted between August and December 2022 with 85 participants from two hospitals in Spain, who completed the pSUAPP questionnaire, comprising 27 Likert-like items across four dimensions: first contact, registration, features and overall experience, and 1 open question. The questionnaire was validated by a panel of 11 experts and further assessed for psychometric properties.

RESULTS

The mean pSUAPP score was 79.0 (SD = 12.0), indicating high usability and positive user experience, with the highest scores in the 'features' dimension. The pSUAPP demonstrated moderate correlation with the System Usability Scale (SUS) and high reliability (Cronbach's alpha and omega t > 0.9). A reproducibility analysis showed negligible changes between repeated measures.

CONCLUSIONS

The pSUAPP questionnaire was found to be a robust tool for evaluating mHealth app usability and user experience, with potential application across various clinical settings.

摘要

背景/目的:移动健康(mHealth)应用程序的使用日益增加,需要可靠的工具来评估其在临床实践中的可用性和用户体验,以改善数字健康(eHealth)干预措施并确保用户参与度,因为较高的参与度通常与医疗保健干预措施的疗效提高相关。本研究旨在验证患者对应用程序的满意度和可用性问卷(pSUAPP),这是一种多维工具,旨在全面评估mHealth应用程序,特别是用于慢性病患者的综合随访。

方法

2022年8月至12月间,对来自西班牙两家医院的85名参与者进行了一项验证研究,他们完成了pSUAPP问卷,该问卷包括27个类似李克特量表的项目,涵盖四个维度:首次接触、注册、功能和总体体验,以及1个开放式问题。该问卷由11名专家组成的小组进行了验证,并进一步评估了其心理测量特性。

结果

pSUAPP的平均得分为79.0(标准差 = 12.0),表明可用性高且用户体验良好,其中“功能”维度得分最高。pSUAPP与系统可用性量表(SUS)呈中度相关,可靠性高(克朗巴哈系数和ωt > 0.9)。重复性分析表明,重复测量之间的变化可忽略不计。

结论

pSUAPP问卷被认为是评估mHealth应用程序可用性和用户体验的有力工具,具有在各种临床环境中应用的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93cd/11640890/92469b2785ee/healthcare-12-02328-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93cd/11640890/843bc25b186a/healthcare-12-02328-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93cd/11640890/92469b2785ee/healthcare-12-02328-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93cd/11640890/843bc25b186a/healthcare-12-02328-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93cd/11640890/92469b2785ee/healthcare-12-02328-g002a.jpg

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本文引用的文献

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World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Participants.《世界医学协会赫尔辛基宣言:涉及人类受试者的医学研究伦理原则》
JAMA. 2025 Jan 7;333(1):71-74. doi: 10.1001/jama.2024.21972.
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Development and validation of the mobile adherence satisfaction scale (MASS) for medication adherence apps.开发和验证用于药物依从性应用程序的移动依从性满意度量表(MASS)。
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Evaluating the Usability of mHealth Apps: An Evaluation Model Based on Task Analysis Methods and Eye Movement Data.
评估移动健康应用程序的可用性:一种基于任务分析方法和眼动数据的评估模型。
Healthcare (Basel). 2024 Jun 30;12(13):1310. doi: 10.3390/healthcare12131310.
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Quality assessment of mHealth apps: a scoping review.移动健康应用程序的质量评估:一项范围综述
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Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking.移动医疗应用程序在乳腺癌患者治疗支持中的可用性和用户体验:使用眼动追踪的混合方法研究。
JMIR Hum Factors. 2024 Mar 5;11:e50926. doi: 10.2196/50926.
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