A review and content analysis of national apps for COVID-19 management using Mobile Application Rating Scale (MARS)

被引:28
作者
Salehinejad, Simin [1 ]
Niakan Kalhori, Sharareh R. [2 ]
Hajesmaeel Gohari, Sadrieh [1 ]
Bahaadinbeigy, Kambiz [3 ]
Fatehi, Farhad [4 ,5 ]
机构
[1] Kerman Univ Med Sci, Inst Futures Studies Hlth, Med Informat Res Ctr, Kerman, Iran
[2] Univ Tehran Med Sci, Sch Allied Med Sci, Dept Hlth Informat Management, Tehran, Iran
[3] Kerman Univ Med Sci, Inst Futures Studies Hlth, Hlth Serv Management Res Ctr, Kerman, Iran
[4] Univ Queensland, Ctr Online Hlth, Brisbane, Qld, Australia
[5] Univ Tehran Med Sci, Sch Adv Technol Med, Tehran, Iran
关键词
mHealth; mobile app; mobile health; COVID-19; evaluation;
D O I
10.1080/17538157.2020.1837838
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The expansion of mobile health apps for the management of COVID-19 grew exponentially in recent months. However, no study has evaluated these apps. The objective of this study was to develop a reliable measure and rate the quality of COVID-19 mobile health apps, to eventually provide a roadmap for future mHealth app development. In this study, we used COVID-related keywords to identify apps for iOS and Android devices. 13 apps (13.5% of the total number of apps identified) were selected for evaluation. App quality was assessed independently using MARS by two reviewers. Search queries yielded a total of 97 potentially relevant apps, of which 13 met our final inclusion criteria. Kendall's coefficient of concordance value for the inter-rater agreement was 0.93 (p = .03). COVID-19 GOV PK app had the highest average MARS score (4.7/5), and all of the apps had acceptable MARS scores (> 3.0). This study suggests that most COVID-related apps meet acceptable criteria for quality, content, or functionality, and they must highlight esthetic and interesting features for overall quality improvement to be welcomed by users.
引用
收藏
页码:42 / 55
页数:14
相关论文
共 26 条
[1]  
[Anonymous], 2020, TRAC TOG SCEN LOOK I
[2]  
[Anonymous], 2020, SENS FOLL
[3]  
[Anonymous], Global observatory for eHealth
[4]   Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases [J].
Bento, Ana I. ;
Nguyen, Thuy ;
Wing, Coady ;
Lozano-Rojas, Felipe ;
Ahn, Yong-Yeol ;
Simon, Kosali .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (21) :11220-11222
[5]   SARS wars: An examination of the quantity and construction of health information in the news media [J].
Berry, Tanya R. ;
Wharf-Higgins, Joan ;
Naylor, P. J. .
HEALTH COMMUNICATION, 2007, 21 (01) :35-44
[6]   Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study [J].
Chen, Nanshan ;
Zhou, Min ;
Dong, Xuan ;
Qu, Jieming ;
Gong, Fengyun ;
Han, Yang ;
Qiu, Yang ;
Wang, Jingli ;
Liu, Ying ;
Wei, Yuan ;
Xia, Jia'an ;
Yu, Ting ;
Zhang, Xinxin ;
Zhang, Li .
LANCET, 2020, 395 (10223) :507-513
[7]   Use of a mobile application for Ebola contact tracing and monitoring in northern Sierra Leone: a proof-of-concept study [J].
Danquah, Lisa O. ;
Hasham, Nadia ;
MacFarlane, Matthew ;
Conteh, Fatu E. ;
Momoh, Fatoma ;
Tedesco, Andrew A. ;
Jambai, Amara ;
Ross, David A. ;
Weiss, Helen A. .
BMC INFECTIOUS DISEASES, 2019, 19 (01)
[8]   SARS and Population Health Technology [J].
Eysenbach, Gunther .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2003, 5 (02)
[9]   A New Influenza-Tracking Smartphone App (Flu-Report) Based on a Self-Administered Questionnaire: Cross-Sectional Study [J].
Fujibayashi, Kazutoshi ;
Takahashi, Hiromizu ;
Tanei, Mika ;
Uehara, Yuki ;
Yokokawa, Hirohide ;
Naito, Toshio .
JMIR MHEALTH AND UHEALTH, 2018, 6 (06)
[10]   A Framework to Assist Health Professionals in Recommending High-Quality Apps for Supporting Chronic Disease Self-Management: Illustrative Assessment of Type 2 Diabetes Apps [J].
Hale, Kelli ;
Capra, Sandra ;
Bauer, Judith .
JMIR MHEALTH AND UHEALTH, 2015, 3 (03)