Literature DB >> 26621937

What makes a good clinical app? Introducing the RCP Health Informatics Unit checklist.

Jeremy C Wyatt1, Harold Thimbleby2, Paul Rastall3, Jan Hoogewerf4, Darren Wooldridge4, John Williams5.   

Abstract

Doctors increasingly rely on medical apps running on smart phones or tablet computers to support their work. However, these apps vary hugely in the quality of their data input screens, internal data processing, the methods used to handle sensitive patient data and how they communicate their output to the user. Inspired by Donabedian's approach to assessing quality and the principles of good user interface design, the Royal College of Physicians' Health Informatics Unit has developed and piloted an 18-item checklist to help clinicians assess the structure, functions and impact of medical apps. Use of this checklist should help clinicians to feel more confident about using medical apps themselves, about recommending them to their staff or prescribing them for patients. © Royal College of Physicians 2015. All rights reserved.

Entities:  

Keywords:  Donabedian's structure; Medical apps; clinical use of technology; health informatics; mHealth; outcome; process; quality assessment checklist

Mesh:

Year:  2015        PMID: 26621937      PMCID: PMC4953250          DOI: 10.7861/clinmedicine.15-6-519

Source DB:  PubMed          Journal:  Clin Med (Lond)        ISSN: 1470-2118            Impact factor:   2.659


  6 in total

1.  Medicine. Communicating statistical information.

Authors:  U Hoffrage; S Lindsey; R Hertwig; G Gigerenzer
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

2.  The case for randomized controlled trials to assess the impact of clinical information systems.

Authors:  Joseph L Y Liu; Jeremy C Wyatt
Journal:  J Am Med Inform Assoc       Date:  2011-01-26       Impact factor: 4.497

3.  A comparison of the reliability of smartphone apps for opioid conversion.

Authors:  Faye Haffey; Richard R W Brady; Simon Maxwell
Journal:  Drug Saf       Date:  2013-02       Impact factor: 5.606

4.  The quality of medical care.

Authors:  A Donabedian
Journal:  Science       Date:  1978-05-26       Impact factor: 47.728

5.  Unreliable numbers: error and harm induced by bad design can be reduced by better design.

Authors:  Harold Thimbleby; Patrick Oladimeji; Paul Cairns
Journal:  J R Soc Interface       Date:  2015-09-06       Impact factor: 4.118

6.  Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial.

Authors:  Michelle Clare Carter; Victoria Jane Burley; Camilla Nykjaer; Janet Elizabeth Cade
Journal:  J Med Internet Res       Date:  2013-04-15       Impact factor: 5.428

  6 in total
  21 in total

1.  What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data from specialty societies.

Authors:  Haroldas Petkus; Jan Hoogewerf; Jeremy C Wyatt
Journal:  Clin Med (Lond)       Date:  2020-05       Impact factor: 2.659

Review 2.  Opportunities to Integrate Mobile App-Based Interventions Into Mental Health and Substance Use Disorder Treatment Services in the Wake of COVID-19.

Authors:  Derek D Satre; Meredith C Meacham; Lauren D Asarnow; Weston S Fisher; Lisa R Fortuna; Esti Iturralde
Journal:  Am J Health Promot       Date:  2021-10-15

Review 3.  Evaluation of mHealth Applications Related to Cardiovascular Diseases: a Systematic Review.

Authors:  Vladimir Villarreal; Aranzazu Berbey-Alvarez
Journal:  Acta Inform Med       Date:  2020-06

4.  Young People's, Parents', and Professionals' Views on Required Components of Mobile Apps to Support Self-Management of Juvenile Arthritis: Qualitative Study.

Authors:  Jennifer M Waite-Jones; Rabiya Majeed-Ariss; Joanna Smith; Simon R Stones; Vanessa Van Rooyen; Veronica Swallow
Journal:  JMIR Mhealth Uhealth       Date:  2018-01-19       Impact factor: 4.773

Review 5.  European Society of Cardiology smartphone and tablet applications for patients with atrial fibrillation and their health care providers.

Authors:  Dipak Kotecha; Winnie W L Chua; Larissa Fabritz; Jeroen Hendriks; Barbara Casadei; Ulrich Schotten; Panos Vardas; Hein Heidbuchel; Veronica Dean; Paulus Kirchhof
Journal:  Europace       Date:  2018-02-01       Impact factor: 5.214

6.  Use of and Beliefs About Mobile Phone Apps for Diabetes Self-Management: Surveys of People in a Hospital Diabetes Clinic and Diabetes Health Professionals in New Zealand.

Authors:  Leah Boyle; Rebecca Grainger; Rosemary M Hall; Jeremy D Krebs
Journal:  JMIR Mhealth Uhealth       Date:  2017-06-30       Impact factor: 4.773

7.  mHealth Assessment: Conceptualization of a Global Framework.

Authors:  Meghan Bradway; Carme Carrion; Bárbara Vallespin; Omid Saadatfard; Elisa Puigdomènech; Mireia Espallargues; Anna Kotzeva
Journal:  JMIR Mhealth Uhealth       Date:  2017-05-02       Impact factor: 4.773

8.  Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences.

Authors:  Jonas Geuens; Luc Geurts; Thijs W Swinnen; Rene Westhovens; Vero Vanden Abeele
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-25       Impact factor: 4.773

9.  Automated Characterization of Mobile Health Apps' Features by Extracting Information From the Web: An Exploratory Study.

Authors:  Alessia Paglialonga; Massimo Schiavo; Enrico Gianluca Caiani
Journal:  Am J Audiol       Date:  2018-11-19       Impact factor: 1.493

10.  A New Tool for Nutrition App Quality Evaluation (AQEL): Development, Validation, and Reliability Testing.

Authors:  Kristen Nicole DiFilippo; Wenhao Huang; Karen M Chapman-Novakofski
Journal:  JMIR Mhealth Uhealth       Date:  2017-10-27       Impact factor: 4.773

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