Literature DB >> 26607787

Quality assessment of a sample of mobile app-based health behavior change interventions using a tool based on the National Institute of Health and Care Excellence behavior change guidance.

Brian McMillan1, Eamonn Hickey2, Mahendra G Patel3, Caroline Mitchell4.   

Abstract

OBJECTIVE: To quality assess a sample of health behavior change apps from the NHS Apps Library using a rating tool based on the 2014 National Institute for Health and Care Excellence behavior change guidance (NICE BCG).
METHODS: A qualitative analysis of the NICE BCG identified themes and questions for a quality assessment of health behavior change apps. These were refined by further discussion and piloting, and applied by two independent raters to a sample of NHS Library apps (N=49). Disagreements were resolved following discussions with a third rater.
RESULTS: Themes identified were; purpose, planning, usability, tailoring, behavior change technique (BCT), maintenance, evaluation, data security and documentation. Overall, purpose of the apps was clear, but evidence for collaboration with users or professionals was lacking. Usability information was poor and tailoring disappointing. Most used recognized BCTs but paid less attention to behavior maintenance than initiation. Information on app evaluation and documentation was sparse.
CONCLUSIONS: This study furthers the work of the NHS Apps Library, adapting the NICE (2014) behavior change guidance for quality assessment of behavior change apps. PRACTICE IMPLICATIONS: This study helps lay the foundations for development of a quality assurance tool for mobile health apps aimed at health behavior change.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Behavior change; Health behavior; Mobile apps; Quality assessment; mHealth

Mesh:

Year:  2015        PMID: 26607787     DOI: 10.1016/j.pec.2015.10.023

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  9 in total

Review 1.  Scoping review: Development and assessment of evaluation frameworks of mobile health apps for recommendations to consumers.

Authors:  Martin Hensher; Paul Cooper; Sithara Wanni Arachchige Dona; Mary Rose Angeles; Dieu Nguyen; Natalie Heynsbergh; Mary Lou Chatterton; Anna Peeters
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

2.  Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial.

Authors:  Kathleen Kara Fitzpatrick; Alison Darcy; Molly Vierhile
Journal:  JMIR Ment Health       Date:  2017-06-06

3.  Assessment of content, quality and compliance of the STaR mobile application for smoking cessation.

Authors:  Kabindra Regmi; Norhayati Kassim; Norhayati H Ahmad; Nik A Tuah
Journal:  Tob Prev Cessat       Date:  2017-07-03

Review 4.  Evaluating evaluation frameworks: a scoping review of frameworks for assessing health apps.

Authors:  Sarah Lagan; Lev Sandler; John Torous
Journal:  BMJ Open       Date:  2021-03-19       Impact factor: 2.692

5.  Mobile Health Apps That Act as Surgical Preparatory Guides: App Store Search and Quality Evaluation.

Authors:  Naga Sindhura Gadde; Kevin Yi-Lwern Yap
Journal:  JMIR Perioper Med       Date:  2021-11-30

6.  Chinese Mobile Health APPs for Hypertension Management: A Systematic Evaluation of Usefulness.

Authors:  Jun Liang; Xiaojun He; Yuxi Jia; Wei Zhu; Jianbo Lei
Journal:  J Healthc Eng       Date:  2018-03-18       Impact factor: 2.682

7.  Smartphone Applications for Educating and Helping Non-motivating Patients Adhere to Medication That Treats Mental Health Conditions: Aims and Functioning.

Authors:  Angelos P Kassianos; Giorgos Georgiou; Electra P Papaconstantinou; Angeliki Detzortzi; Rob Horne
Journal:  Front Psychol       Date:  2017-10-11

8.  A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial.

Authors:  Laura Carrasco-Hernandez; Francisco Jódar-Sánchez; Francisco Núñez-Benjumea; Jesús Moreno Conde; Marco Mesa González; Antón Civit-Balcells; Santiago Hors-Fraile; Carlos Luis Parra-Calderón; Panagiotis D Bamidis; Francisco Ortega-Ruiz
Journal:  JMIR Mhealth Uhealth       Date:  2020-04-27       Impact factor: 4.773

9.  Validation of a mobile game-based assessment of cognitive control among children and adolescents.

Authors:  Hyunjoo Song; Do-Joon Yi; Hae-Jeong Park
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

  9 in total

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