Literature DB >> 28819928

Development of a Rating Tool for Mobile Cancer Apps: Information Analysis and Formal and Content-Related Evaluation of Selected Cancer Apps.

Cathleen Böhme1, Marc Baron von Osthoff1, Katrin Frey2, Jutta Hübner3.   

Abstract

Mobile apps are offered in large numbers and have different qualities. The aim of this article was to develop a rating tool based on formal and content-related criteria for the assessment of cancer apps and to test its applicability on apps. After a thorough analysis of the literature, we developed a specific rating tool for cancer apps based on the MARS (mobile app rating system) and a rating tool for cancer websites. This instrument was applied to apps freely available in stores and focusing on some cancer topic. Ten apps were rated on the basis of 22 criteria. Sixty percent of the apps (6/10) were rated poor and insufficient. The rating by different scientists was homogenous. The good apps had reliable sources were regularly updated and had a concrete intent/purpose in their app description. In contrast, the apps that were rated poor had no distinction of scientific content and advertisement. In some cases, there was no imprint to identify the provider. As apps of poor quality can give misinformation and lead to wrong treatment decisions, efforts have to be made to increase usage of high-quality apps. Certification would help cancer patients to identify reliable apps, yet acceptance of a certification system must be backed up.

Entities:  

Keywords:  Application; Cancer; Mobile apps; Oncology; Rating tool

Mesh:

Year:  2019        PMID: 28819928     DOI: 10.1007/s13187-017-1273-9

Source DB:  PubMed          Journal:  J Cancer Educ        ISSN: 0885-8195            Impact factor:   2.037


  10 in total

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3.  Mobile applications in oncology: is it possible for patients and healthcare professionals to easily identify relevant tools?

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Journal:  Ann Med       Date:  2016-06-27       Impact factor: 4.709

4.  What cancer patients find in the internet: the visibility of evidence-based patient information - analysis of information on German websites.

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6.  [Criteria for evidence-based patient information].

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Journal:  Ecancermedicalscience       Date:  2011-11-09

Review 8.  A lot of action, but not in the right direction: systematic review and content analysis of smartphone applications for the prevention, detection, and management of cancer.

Authors:  Jacqueline Lorene Bender; Rossini Ying Kwan Yue; Matthew Jason To; Laetitia Deacken; Alejandro R Jadad
Journal:  J Med Internet Res       Date:  2013-12-23       Impact factor: 5.428

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10.  Mobile app rating scale: a new tool for assessing the quality of health mobile apps.

Authors:  Stoyan R Stoyanov; Leanne Hides; David J Kavanagh; Oksana Zelenko; Dian Tjondronegoro; Madhavan Mani
Journal:  JMIR Mhealth Uhealth       Date:  2015-03-11       Impact factor: 4.773

  10 in total
  5 in total

1.  Qualitative evaluation of mobile cancer apps with particular attention to the target group, content, and advertising.

Authors:  Cathleen Böhme; Marc Baron von Osthoff; Katrin Frey; Jutta Hübner
Journal:  J Cancer Res Clin Oncol       Date:  2017-10-19       Impact factor: 4.553

2.  Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales.

Authors:  Tehmina Gladman; Grace Tylee; Steve Gallagher; Jonathan Mair; Rebecca Grainger
Journal:  JMIR Mhealth Uhealth       Date:  2021-04-23       Impact factor: 4.773

3.  Quality Principles of App Description Texts and Their Significance in Deciding to Use Health Apps as Assessed by Medical Students: Survey Study.

Authors:  Urs-Vito Albrecht; Christin Malinka; Sarah Long; Tobias Raupach; Gerd Hasenfuß; Ute von Jan
Journal:  JMIR Mhealth Uhealth       Date:  2019-02-27       Impact factor: 4.773

4.  A Tool for Rating the Value of Health Education Mobile Apps to Enhance Student Learning (MARuL): Development and Usability Study.

Authors:  Tehmina Gladman; Grace Tylee; Steve Gallagher; Jonathan Mair; Sarah C Rennie; Rebecca Grainger
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-31       Impact factor: 4.773

5.  Patient information, communication and competence empowerment in oncology (PIKKO) - evaluation of a supportive care intervention for overall oncological patients. Study protocol of a non-randomized controlled trial.

Authors:  Nico Schneider; Anna Bäcker; Katja Brenk-Franz; Christian Keinki; Jutta Hübner; Florian Brandt; Geraldine von der Winkel; Lutz Hager; Bernhard Strauss; Uwe Altmann
Journal:  BMC Med Res Methodol       Date:  2020-05-15       Impact factor: 4.615

  5 in total

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