Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS)

被引:431
作者
Stoyanov, Stoyan R. [1 ,2 ]
Hides, Leanne [1 ,2 ]
Kavanagh, David J. [1 ,2 ]
Wilson, Hollie [1 ,2 ]
机构
[1] Queensland Univ Technol, Sch Psychol & Counselling, Ctr Childrens Hlth Res, Inst Hlth & Biomed Innovat, 62 Graham St, Brisbane, Qld 4101, Australia
[2] Young & Well Cooperat Res Ctr, Abbotsford, Vic, Australia
来源
JMIR MHEALTH AND UHEALTH | 2016年 / 4卷 / 02期
基金
澳大利亚研究理事会;
关键词
MARS; mHealth; eHealth; app evaluation; end user; app trial; mhealth trial; user testing; mobile application; app rating; reliability; mobile health; well being; mental health; smartphone; cellphone; telemedicine; ehealth; emental health; e-therapy; Internet; online; cognitive behavioral therapy; anxiety; anxiety disorders; depression; depressive disorder; Australia; research translation; evidence-informed; mHealth implementation; mHealth evaluation; randomized controlled trial; RCT; HEALTH; APPS; METAANALYSIS; RELIABILITY;
D O I
10.2196/mhealth.5849
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
Background: The Mobile Application Rating Scale (MARS) provides a reliable method to assess the quality of mobile health (mHealth) apps. However, training and expertise in mHealth and the relevant health field is required to administer it. Objective: This study describes the development and reliability testing of an end-user version of the MARS (uMARS). Methods: The MARS was simplified and piloted with 13 young people to create the uMARS. The internal consistency and test-retest reliability of the uMARS was then examined in a second sample of 164 young people participating in a randomized controlled trial of a mHealth app. App ratings were collected using the uMARS at 1-, 3,- and 6-month follow up. Results: The uMARS had excellent internal consistency (alpha = .90), with high individual alphas for all subscales. The total score and subscales had good test-retest reliability over both 1-2 months and 3 months. Conclusions: The uMARS is a simple tool that can be reliably used by end-users to assess the quality of mHealth apps.
引用
收藏
页码:589 / 593
页数:5
相关论文
共 18 条
  • [1] Guided Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: a systematic review and meta-analysis
    Andersson, Gerhard
    Cuijpers, Pim
    Carlbring, Per
    Riper, Heleen
    Hedman, Erik
    [J]. WORLD PSYCHIATRY, 2014, 13 (03) : 288 - 295
  • [2] [Anonymous], 2015, PATIENT ADOPTION MHE
  • [3] Towards a Framework for Evaluating Mobile Mental Health Apps
    Chan, Steven
    Torous, John
    Hinton, Ladson
    Yellowlees, Peter
    [J]. TELEMEDICINE AND E-HEALTH, 2015, 21 (12) : 1038 - 1041
  • [4] Increasing Physical Activity With Mobile Devices: A Meta-Analysis
    Fanning, Jason
    Mullen, Sean P.
    McAuley, Edward
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2012, 14 (06) : 159 - 169
  • [5] Mapping mHealth Research: A Decade of Evolution
    Fiordelli, Maddalena
    Diviani, Nicola
    Schulz, Peter J.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2013, 15 (05)
  • [6] A New Readability Yardstick
    Flesch, Rudolf
    [J]. JOURNAL OF APPLIED PSYCHOLOGY, 1948, 32 (03) : 221 - 233
  • [7] Free C, 2013, PLOS MED, V10, DOI [10.1371/journal.pmed.1001363, 10.1371/journal.pmed.1001362]
  • [8] Hallgren Kevin A, 2012, Tutor Quant Methods Psychol, V8, P23
  • [9] Feature-level analysis of a novel smartphone application for smoking cessation
    Heffner, Jaimee L.
    Vilardaga, Roger
    Mercer, Laina D.
    Kientz, Julie A.
    Bricker, Jonathan B.
    [J]. AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE, 2015, 41 (01) : 68 - 73
  • [10] Hides L, APPLE APP STORE