Literature DB >> 31854055

What makes a good health 'app'? Identifying the strengths and limitations of existing mobile application evaluation tools.

Robin M Dawson1, Tisha M Felder1, Sara B Donevant1, Karen Kane McDonnell1, Edward B Card2, Callie Campbell King1, Sue P Heiney1.   

Abstract

Research using mHealth apps has the potential to positively impact health care management and outcomes. However, choosing an appropriate mHealth app may be challenging for the health researcher. The author team used existing evaluation tools, checklists, and guidelines to assess selected mHealth apps to identify strengths, challenges, and potential gaps within existing evaluation tools. They identified specific evaluation tool components, questions, and items most effective in examining app content, usability, and features, including literacy demand and cultural appropriateness; technical information; practical aspects of app functionality; and evolving capabilities of mobile medical apps. Challenges included the subjective nature of the results, time required to complete the evaluation, lack of emphasis on evidence-based content, and inadequate tool flexibility. Health researchers considering the integration of mobile apps into research will benefit from evaluation tools that assess both evidence-based content and the ability of the mobile app to securely integrate with other digital technologies involved in patient care. Next steps will include the involvement of health care providers and professionals, including nurses a wide range of expertise, to develop an mHealth evaluation tool that focuses on identifying quality, evidence-based mobile apps into patient outcomes research.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  evaluation; mHealth; mobile health; mobile phone

Mesh:

Year:  2019        PMID: 31854055      PMCID: PMC7181198          DOI: 10.1111/nin.12333

Source DB:  PubMed          Journal:  Nurs Inq        ISSN: 1320-7881            Impact factor:   2.393


  17 in total

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Authors: 
Journal:  Am J Public Health       Date:  2001-03       Impact factor: 9.308

2.  A health literacy and usability heuristic evaluation of a mobile consumer health application.

Authors:  Helen Monkman; Andre Kushniruk
Journal:  Stud Health Technol Inform       Date:  2013

3.  Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature.

Authors:  Sara Belle Donevant; Robin Dawson Estrada; Joan Marie Culley; Brian Habing; Swann Arp Adams
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

4.  Incorporating Nurse Input and Evidence Into a Newly Designed Unit to Improve Patient and Nursing Outcomes.

Authors:  Jennifer Tafelmeyer; Robin Wicks; Jeannine Brant; Laurie Smith
Journal:  J Nurs Adm       Date:  2017-12       Impact factor: 1.737

5.  Awareness of technology-induced errors and processes for identifying and preventing such errors.

Authors:  Paule Bellwood; Elizabeth M Borycki; Andre W Kushniruk
Journal:  Stud Health Technol Inform       Date:  2015

6.  Mobile health technology evaluation: the mHealth evidence workshop.

Authors:  Santosh Kumar; Wendy J Nilsen; Amy Abernethy; Audie Atienza; Kevin Patrick; Misha Pavel; William T Riley; Albert Shar; Bonnie Spring; Donna Spruijt-Metz; Donald Hedeker; Vasant Honavar; Richard Kravitz; R Craig Lefebvre; David C Mohr; Susan A Murphy; Charlene Quinn; Vladimir Shusterman; Dallas Swendeman
Journal:  Am J Prev Med       Date:  2013-08       Impact factor: 5.043

7.  Conceptual privacy framework for health information on wearable device.

Authors:  Seyedmostafa Safavi; Zarina Shukur
Journal:  PLoS One       Date:  2014-12-05       Impact factor: 3.240

8.  The evolution of mobile apps for asthma: an updated systematic assessment of content and tools.

Authors:  Kit Huckvale; Cecily Morrison; Jing Ouyang; Aseem Ghaghda; Josip Car
Journal:  BMC Med       Date:  2015-03-23       Impact factor: 8.775

9.  Behaviour change techniques: the development and evaluation of a taxonomic method for reporting and describing behaviour change interventions (a suite of five studies involving consensus methods, randomised controlled trials and analysis of qualitative data).

Authors:  Susan Michie; Caroline E Wood; Marie Johnston; Charles Abraham; Jill J Francis; Wendy Hardeman
Journal:  Health Technol Assess       Date:  2015-11       Impact factor: 4.014

10.  mHealth and mobile medical Apps: a framework to assess risk and promote safer use.

Authors:  Thomas Lorchan Lewis; Jeremy C Wyatt
Journal:  J Med Internet Res       Date:  2014-09-15       Impact factor: 5.428

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  5 in total

1.  A large-scale group decision making method to select the ideal mobile health application for the hospital.

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Journal:  Appl Intell (Dordr)       Date:  2022-03-18       Impact factor: 5.086

2.  An Intelligent Individualized Cardiovascular App for Risk Elimination (iCARE) for Individuals With Coronary Heart Disease: Development and Usability Testing Analysis.

Authors:  Yuling Chen; Meihua Ji; Ying Wu; Qingyu Wang; Ying Deng; Yong Liu; Fangqin Wu; Mingxuan Liu; Yiqiang Guo; Ziyuan Fu; Xiaoying Zheng
Journal:  JMIR Mhealth Uhealth       Date:  2021-12-13       Impact factor: 4.773

Review 3.  mHealth Interventions to Reduce Physical Inactivity and Sedentary Behavior in Children and Adolescents: Systematic Review and Meta-analysis of Randomized Controlled Trials.

Authors:  Hannes Baumann; Kathrin Wunsch; Alexander Woll; Bettina Wollesen; Janis Fiedler
Journal:  JMIR Mhealth Uhealth       Date:  2022-05-11       Impact factor: 4.947

4.  Smartphone Apps for Patients With Hematologic Malignancies: Systematic Review and Evaluation of Content.

Authors:  Nerea Báez Gutiérrez; Héctor Rodríguez Ramallo; Marcos Fernández González; Laila Abdel-Kader Martín
Journal:  JMIR Mhealth Uhealth       Date:  2022-09-20       Impact factor: 4.947

5.  Improved readability and functions needed for mHealth apps targeting patients with heart failure: An app store review.

Authors:  Karen Dunn Lopez; Sena Chae; Girgis Michele; Dan Fraczkowski; Pantea Habibi; Debaleena Chattopadhyay; Sara B Donevant
Journal:  Res Nurs Health       Date:  2020-10-27       Impact factor: 2.228

  5 in total

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