• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Assessing the Quality of Mobile Health-Related Apps: Interrater Reliability Study of Two Guides.评估移动健康相关应用程序的质量:两个指南的评分者间可靠性研究。
JMIR Mhealth Uhealth. 2021 Apr 19;9(4):e26471. doi: 10.2196/26471.
2
Mobile Apps for Drug-Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis.中文应用商店中用于药物-药物相互作用检查的移动应用程序:系统评价和内容分析。
JMIR Mhealth Uhealth. 2021 Jun 15;9(6):e26262. doi: 10.2196/26262.
3
Mobile Apps for Hematological Conditions: Review and Content Analysis Using the Mobile App Rating Scale.移动应用程序在血液学疾病中的应用:使用移动应用程序评级量表进行的评价和内容分析。
JMIR Mhealth Uhealth. 2022 Feb 16;10(2):e32826. doi: 10.2196/32826.
4
Mobile Apps for the Care Management of Chronic Kidney and End-Stage Renal Diseases: Systematic Search in App Stores and Evaluation.移动应用程序在慢性肾脏病和终末期肾病的护理管理中的应用:应用商店中的系统检索和评估。
JMIR Mhealth Uhealth. 2019 Sep 4;7(9):e12604. doi: 10.2196/12604.
5
Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.法国智能手机药物管理应用程序的质量评估:系统检索。
JMIR Mhealth Uhealth. 2024 Mar 18;12:e54866. doi: 10.2196/54866.
6
Mobile health applications for epilepsy in Indian app stores: A systematic review and content analysis using the mobile app rating scale.印度应用商店中用于癫痫的移动健康应用程序:使用移动应用评分量表的系统评价和内容分析
Epilepsy Res. 2024 Mar;201:107331. doi: 10.1016/j.eplepsyres.2024.107331. Epub 2024 Feb 22.
7
The Arabic Version of the Mobile App Rating Scale: Development and Validation Study.移动应用评级量表的阿拉伯语版本:开发与验证研究。
JMIR Mhealth Uhealth. 2020 Mar 3;8(3):e16956. doi: 10.2196/16956.
8
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment.智能手机和移动健康应用程序治疗耳鸣:系统识别、分析和评估。
JMIR Mhealth Uhealth. 2020 Aug 18;8(8):e21767. doi: 10.2196/21767.
9
Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS).应用商店中针对食物过敏或不耐受的手机应用程序:使用移动应用评级量表(MARS)进行系统搜索和质量评估。
JMIR Mhealth Uhealth. 2020 Sep 16;8(9):e18339. doi: 10.2196/18339.
10
Promoting Health via mHealth Applications Using a French Version of the Mobile App Rating Scale: Adaptation and Validation Study.使用法语版移动应用评分量表通过移动健康应用促进健康:改编与验证研究
JMIR Mhealth Uhealth. 2021 Aug 31;9(8):e30480. doi: 10.2196/30480.

引用本文的文献

1
Development, implementation and evaluation of a digital treatment for adolescents with chronic pain: a protocol for a multi-phase study.针对慢性疼痛青少年的数字疗法的开发、实施与评估:一项多阶段研究方案
Front Digit Health. 2025 Jun 4;7:1555733. doi: 10.3389/fdgth.2025.1555733. eCollection 2025.
2
Testing and Iterative Improvement of the CEN ISO/TS 82304-2 Health App Quality Assessment: Pilot Interrater Reliability Study.CEN ISO/TS 82304-2健康应用程序质量评估的测试与迭代改进:试点评分者间信度研究
JMIR Form Res. 2025 Mar 10;9:e64565. doi: 10.2196/64565.
3
A systematic review of features and content quality of Arabic mental mHealth apps.阿拉伯语心理健康应用程序的功能和内容质量的系统评价。
Front Digit Health. 2024 Dec 11;6:1472251. doi: 10.3389/fdgth.2024.1472251. eCollection 2024.
4
Smartphone Apps for Pulmonary Hypertension: Systematic Search and Content Evaluation.智能手机应用程序治疗肺动脉高压:系统搜索和内容评估。
JMIR Mhealth Uhealth. 2024 Oct 30;12:e57289. doi: 10.2196/57289.
5
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
Front Health Serv. 2024 May 1;4:1372871. doi: 10.3389/frhs.2024.1372871. eCollection 2024.
6
Mobile Apps for Patients with Peritoneal Dialysis: Systematic App Search and Evaluation.适用于腹膜透析患者的移动应用程序:系统的应用程序搜索与评估
Healthcare (Basel). 2024 Mar 25;12(7):719. doi: 10.3390/healthcare12070719.
7
Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach.探索影响移动健康应用中用户体验的因素:一种文本挖掘和机器学习方法。
J Bus Res. 2023 Feb;156:113484. doi: 10.1016/j.jbusres.2022.113484. Epub 2022 Dec 2.
8
Mental, Physical and Socio-Economic Status of Adults Living in Spain during the Late Stages of the State of Emergency Caused by COVID-19.COVID-19 紧急状态后期居住在西班牙的成年人的心理、身体和社会经济状况。
Int J Environ Res Public Health. 2022 Jan 13;19(2):854. doi: 10.3390/ijerph19020854.
9
Effects of COVID-19 Social Distancing Measures in Individuals with Chronic Pain Living in Spain in the Late Stages of the Lockdown.新冠疫情社交隔离措施对西班牙处于封锁后期的慢性疼痛患者的影响。
Int J Environ Res Public Health. 2021 Nov 9;18(22):11732. doi: 10.3390/ijerph182211732.

本文引用的文献

1
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment.智能手机和移动健康应用程序治疗耳鸣:系统识别、分析和评估。
JMIR Mhealth Uhealth. 2020 Aug 18;8(8):e21767. doi: 10.2196/21767.
2
The Mobile App Development and Assessment Guide (MAG): Delphi-Based Validity Study.移动应用程序开发和评估指南(MAG):基于德尔菲法的有效性研究。
JMIR Mhealth Uhealth. 2020 Jul 31;8(7):e17760. doi: 10.2196/17760.
3
Design and testing of a mobile health application rating tool.一款移动健康应用程序评级工具的设计与测试
NPJ Digit Med. 2020 May 21;3:74. doi: 10.1038/s41746-020-0268-9. eCollection 2020.
4
Standards for Mobile Health-Related Apps: Systematic Review and Development of a Guide.移动健康相关应用的标准:系统评价和指南制定。
JMIR Mhealth Uhealth. 2020 Mar 3;8(3):e13057. doi: 10.2196/13057.
5
Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review.面向消费者的移动健康应用程序的安全问题及其后果:范围综述。
J Am Med Inform Assoc. 2020 Feb 1;27(2):330-340. doi: 10.1093/jamia/ocz175.
6
Mobile Apps for the Care Management of Chronic Kidney and End-Stage Renal Diseases: Systematic Search in App Stores and Evaluation.移动应用程序在慢性肾脏病和终末期肾病的护理管理中的应用:应用商店中的系统检索和评估。
JMIR Mhealth Uhealth. 2019 Sep 4;7(9):e12604. doi: 10.2196/12604.
7
German Mobile Apps in Rheumatology: Review and Analysis Using the Mobile Application Rating Scale (MARS).德国风湿病学移动应用程序:使用移动应用程序评级量表(MARS)进行的评估与分析。
JMIR Mhealth Uhealth. 2019 Aug 5;7(8):e14991. doi: 10.2196/14991.
8
Mobile Apps for Increasing Treatment Adherence: Systematic Review.用于提高治疗依从性的移动应用程序:系统评价
J Med Internet Res. 2019 Jun 18;21(6):e12505. doi: 10.2196/12505.
9
Smartphone Apps Targeting Alcohol and Illicit Substance Use: Systematic Search in in Commercial App Stores and Critical Content Analysis.针对酒精和非法药物使用的智能手机应用程序:商业应用程序商店中的系统搜索和关键内容分析。
JMIR Mhealth Uhealth. 2019 Apr 22;7(4):e11831. doi: 10.2196/11831.
10
Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media.热门糖尿病应用程序以及糖尿病应用程序的使用对自我护理行为的影响:一项针对社交媒体上糖尿病患者数字社区的调查
Front Endocrinol (Lausanne). 2019 Mar 1;10:135. doi: 10.3389/fendo.2019.00135. eCollection 2019.

评估移动健康相关应用程序的质量:两个指南的评分者间可靠性研究。

Assessing the Quality of Mobile Health-Related Apps: Interrater Reliability Study of Two Guides.

机构信息

Universitat Rovira i Virgili; Department of Psychology, Centre de Recerca en Avaluació i Mesura de la Conducta, Institut d'Investigació Sanitària Pere Virgili, Tarragona, Spain.

出版信息

JMIR Mhealth Uhealth. 2021 Apr 19;9(4):e26471. doi: 10.2196/26471.

DOI:10.2196/26471
PMID:33871376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8094021/
Abstract

BACKGROUND

There is a huge number of health-related apps available, and the numbers are growing fast. However, many of them have been developed without any kind of quality control. In an attempt to contribute to the development of high-quality apps and enable existing apps to be assessed, several guides have been developed.

OBJECTIVE

The main aim of this study was to study the interrater reliability of a new guide - the Mobile App Development and Assessment Guide (MAG) - and compare it with one of the most used guides in the field, the Mobile App Rating Scale (MARS). Moreover, we also focused on whether the interrater reliability of the measures is consistent across multiple types of apps and stakeholders.

METHODS

In order to study the interrater reliability of the MAG and MARS, we evaluated the 4 most downloaded health apps for chronic health conditions in the medical category of IOS and Android devices (ie, App Store and Google Play). A group of 8 reviewers, representative of individuals that would be most knowledgeable and interested in the use and development of health-related apps and including different types of stakeholders such as clinical researchers, engineers, health care professionals, and end users as potential patients, independently evaluated the quality of the apps using the MAG and MARS. We calculated the Krippendorff alpha for every category in the 2 guides, for each type of reviewer and every app, separately and combined, to study the interrater reliability.

RESULTS

Only a few categories of the MAG and MARS demonstrated a high interrater reliability. Although the MAG was found to be superior, there was considerable variation in the scores between the different types of reviewers. The categories with the highest interrater reliability in MAG were "Security" (α=0.78) and "Privacy" (α=0.73). In addition, 2 other categories, "Usability" and "Safety," were very close to compliance (health care professionals: α=0.62 and 0.61, respectively). The total interrater reliability of the MAG (ie, for all categories) was 0.45, whereas the total interrater reliability of the MARS was 0.29.

CONCLUSIONS

This study shows that some categories of MAG have significant interrater reliability. Importantly, the data show that the MAG scores are better than the ones provided by the MARS, which is the most commonly used guide in the area. However, there is great variability in the responses, which seems to be associated with subjective interpretation by the reviewers.

摘要

背景

现已有大量与健康相关的应用程序,且数量还在快速增长。然而,其中许多应用程序在开发过程中并未经过任何质量控制。为了促进高质量应用程序的开发并对现有应用程序进行评估,已经制定了多个指南。

目的

本研究的主要目的是研究一个新指南——移动应用程序开发和评估指南(MAG)的评分者间信度,并将其与该领域最常用的指南之一——移动应用程序评级量表(MARS)进行比较。此外,我们还关注的是,对于多种类型的应用程序和利益相关者,该测量的评分者间信度是否一致。

方法

为了研究 MAG 和 MARS 的评分者间信度,我们评估了 IOS 和 Android 设备(即 App Store 和 Google Play)医疗类中最常下载的 4 种慢性健康状况的健康相关应用程序。一组由 8 名评审员组成,代表了最了解和有兴趣使用和开发健康相关应用程序的个人,包括不同类型的利益相关者,如临床研究人员、工程师、医疗保健专业人员和潜在患者的最终用户,他们使用 MAG 和 MARS 独立评估应用程序的质量。我们为每个指南的每个类别、每个类型的评审员和每个应用程序分别计算了 Krippendorff 系数,以研究评分者间信度。

结果

仅 MAG 和 MARS 的少数几个类别显示出较高的评分者间信度。尽管 MAG 被发现更具优势,但不同类型的评审员之间的评分存在相当大的差异。MAG 中评分者间信度最高的类别为“安全性”(α=0.78)和“隐私”(α=0.73)。此外,另外两个类别“可用性”和“安全性”也非常接近合规性(医疗保健专业人员:α=0.62 和 0.61)。MAG 的总评分者间信度(即所有类别)为 0.45,而 MARS 的总评分者间信度为 0.29。

结论

本研究表明,MAG 的一些类别具有显著的评分者间信度。重要的是,数据表明 MAG 的评分优于 MARS,MARS 是该领域最常用的指南。然而,回应存在很大的差异,这似乎与评审员的主观解释有关。