The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health

Author:

Hajesmaeel-Gohari Sadrieh,Khordastan Firoozeh,Fatehi Farhad,Samzadeh Hamidreza,Bahaadinbeigy Kambiz

Abstract

Abstract Background Various questionnaires are used for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health (mHealth) services. Using the best one to meet the needs of an mHealth study is a challenge for researchers. Therefore, this study aimed to review and determine the frequently used questionnaires for evaluating the mentioned outcomes of mHealth services. Methods The PubMed database was searched for conducting this review in April 2021. Papers that used a referenced questionnaire to evaluate the satisfaction, usability, acceptance, or quality outcomes of mHealth were included. The first author’s name, year of publication, evaluation outcome, and evaluation questionnaire were extracted from relevant papers. Data were analyzed using descriptive statistics. Results In total, 247 papers were included in the study. Questionnaires were used for usability (40%), quality (34.5%), acceptance (8.5%), and satisfaction (4%) outcomes, respectively. System usability scale (36.5%), mobile application rating scale (35.5%), post study system usability questionnaire (6%), user mobile application rating scale (5%), technology acceptance model (4.5%), computer system usability questionnaire (2.5%), net promoter score (2%), health information technology usability evaluation scale (2%), the usefulness, satisfaction, and ease of use (1.5%), client satisfaction questionnaire (1.5%), unified theory of acceptance and use of technology (1.5%), questionnaire for user interaction satisfaction (1%), user experience questionnaire (1%), and after-scenario questionnaire (1%) were the most used questionnaires, respectively. Conclusion Despite the existence of special questionnaires for evaluating several outcomes of mHealth, general questionnaires with fewer items and higher reliability have been used more frequently. Researchers should pay more attention to questionnaires with a goal-based design.

Funder

Kerman University of Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference40 articles.

1. Kao CK, Liebovitz DM. Consumer mobile health apps: current state, barriers, and future directions. PM & R J Inj Funct Rehabil. 2017;9(5s):S106–15.

2. Park Y-T. Emerging new era of mobile health technologies. Healthc Inform Res. 2016;22(4):253–4.

3. Singh K, Landman AB. Mobile health. In: Sheikh A, Bates DW, Wright A, Cresswell K, editors. Key advances in clinical informatics: Transforming health care through health information technology. London: Academic Press; 2018. p. 183–96.

4. World Health Organization. mHealth: New horizons for health through mobile technologies. 2011. Available from: https://www.who.int/goe/publications/goe_mhealth_web.pdf.

5. Mangkunegara C, Azzahro F, Handayani P. Analysis of factors affecting user's intention in using mobile health application: a case study of halodoc. 2018. p. 87–92

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3