文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

Quantifying usability: an evaluation of a diabetes mHealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics.

作者信息

Georgsson Mattias, Staggers Nancy

机构信息

Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA Faculty of Computing, Blekinge Institute of Technology, Karlskrona, Sweden

Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA School of Nursing, University of Maryland, Baltimore, Maryland, USA.

出版信息

J Am Med Inform Assoc. 2016 Jan;23(1):5-11. doi: 10.1093/jamia/ocv099. Epub 2015 Sep 15.


DOI:10.1093/jamia/ocv099
PMID:26377990
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4713903/
Abstract

OBJECTIVE: Mobile health (mHealth) systems are becoming more common for chronic disease management, but usability studies are still needed on patients' perspectives and mHealth interaction performance. This deficiency is addressed by our quantitative usability study of a mHealth diabetes system evaluating patients' task performance, satisfaction, and the relationship of these measures to user characteristics. MATERIALS AND METHODS: We used metrics in the International Organization for Standardization (ISO) 9241-11 standard. After standardized training, 10 patients performed representative tasks and were assessed on individual task success, errors, efficiency (time on task), satisfaction (System Usability Scale [SUS]) and user characteristics. RESULTS: Tasks of exporting and correcting values proved the most difficult, had the most errors, the lowest task success rates, and consumed the longest times on task. The average SUS satisfaction score was 80.5, indicating good but not excellent system usability. Data trends showed males were more successful in task completion, and younger participants had higher performance scores. Educational level did not influence performance, but a more recent diabetes diagnosis did. Patients with more experience in information technology (IT) also had higher performance rates. DISCUSSION: Difficult task performance indicated areas for redesign. Our methods can assist others in identifying areas in need of improvement. Data about user background and IT skills also showed how user characteristics influence performance and can provide future considerations for targeted mHealth designs. CONCLUSION: Using the ISO 9241-11 usability standard, the SUS instrument for satisfaction and measuring user characteristics provided objective measures of patients' experienced usability. These could serve as an exemplar for standardized, quantitative methods for usability studies on mHealth systems.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/c661699a880c/ocv099f4p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/a2a8f278fefd/ocv099f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/498252b0074b/ocv099f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/7e50d5418bee/ocv099f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/c661699a880c/ocv099f4p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/a2a8f278fefd/ocv099f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/498252b0074b/ocv099f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/7e50d5418bee/ocv099f3p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d758/4713903/c661699a880c/ocv099f4p.jpg

相似文献

[1]
Quantifying usability: an evaluation of a diabetes mHealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics.

J Am Med Inform Assoc. 2016-1

[2]
Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation.

J Biomed Inform. 2019-2-2

[3]
An evaluation of patients' experienced usability of a diabetes mHealth system using a multi-method approach.

J Biomed Inform. 2016-2

[4]
Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US).

Int J Med Inform. 2018-3-27

[5]
Using Activity Theory as a Framework for the Usability Evaluation Process and Task Determination in mHealth Self-Management Systems for Diabetes.

Stud Health Technol Inform. 2018

[6]
Usability Testing of a Digital Assessment Routing Tool for Musculoskeletal Disorders: Iterative, Convergent Mixed Methods Study.

J Med Internet Res. 2022-8-30

[7]
Assessing usability of eHealth technology: A comparison of usability benchmarking instruments.

Int J Med Inform. 2019-5-5

[8]
Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial.

JMIR Diabetes. 2019-4-30

[9]
Mobile health for older adult patients: Using an aging barriers framework to classify usability problems.

Int J Med Inform. 2019-1-15

[10]
Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers.

JMIR Mhealth Uhealth. 2019-1-30

引用本文的文献

[1]
Feasibility and usability of remote transcranial direct current stimulation (tDCS) for self-regulation in children with autism: protocol for a randomized controlled pilot study.

Pilot Feasibility Stud. 2025-4-29

[2]
Systematic Review of Usability Factors, Models, and Frameworks with Blockchain Integration for Secure Mobile Health (mHealth) Applications.

Blockchain Healthc Today. 2024-12-16

[3]
Assessing the interdependency among effectiveness, satisfaction and efficient use of the Lightwave Health Information Management System (LHIMS) by health professionals in Ghana.

BMC Health Serv Res. 2024-11-16

[4]
Validity and reliability of a digital solution for cognitive assessment: The Brain on Track®.

Digit Health. 2024-10-18

[5]
Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture.

JMIR Mhealth Uhealth. 2024-8-7

[6]
Usability testing of the Set Brave Goals app, a continence goal-selection app for children with spina bifida.

J Pediatr Urol. 2024-8

[7]
Design of patient-facing immunization visualizations affects task performance: an experimental comparison of 4 electronic visualizations.

J Am Med Inform Assoc. 2024-11-1

[8]
Methods, Indicators, and End-User Involvement in the Evaluation of Digital Health Interventions for the Public: Scoping Review.

J Med Internet Res. 2024-5-31

[9]
Post-implementation usability evaluation of a human factors-based clinical decision support for pulmonary embolism (PE) diagnosis (Dx): PE Dx Study Part 1.

Hum Factors Health. 2023-12

[10]
A Technological Tool Aimed at Self-Care in Patients With Multimorbidity: Cross-Sectional Usability Study.

JMIR Hum Factors. 2024-4-5

本文引用的文献

[1]
Going mobile with diabetes support: a randomized study of a text message-based personalized behavioral intervention for type 2 diabetes self-care.

Diabetes Spectr. 2015-5

[2]
Getting a technology-based diabetes intervention ready for prime time: a review of usability testing studies.

Curr Diab Rep. 2014-10

[3]
Using mobile phones and short message service to deliver self-management interventions for chronic conditions: a meta-review.

Worldviews Evid Based Nurs. 2014-3-5

[4]
Usability testing of ANSWER: a web-based methotrexate decision aid for patients with rheumatoid arthritis.

BMC Med Inform Decis Mak. 2013-12-1

[5]
A systematic review of IT for diabetes self-management: are we there yet?

Int J Med Inform. 2013-6-21

[6]
Usability study of a computer-based self-management system for older adults with chronic diseases.

JMIR Res Protoc. 2012-11-8

[7]
Mobile applications for diabetes self-management: status and potential.

J Diabetes Sci Technol. 2013-1-1

[8]
Factors influencing use of an e-health website in a community sample of older adults.

J Am Med Inform Assoc. 2012-7-16

[9]
Mobile intervention design in diabetes: review and recommendations.

Curr Diab Rep. 2011-12

[10]
Emerging approaches to usability evaluation of health information systems: towards in-situ analysis of complex healthcare systems and environments.

Stud Health Technol Inform. 2011

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索