mHealth in psychiatry: Time for methodological change

Evidence-Based Mental Health

Volumn 19, Issue 2, 2016, Pages 33-34

  Nicholas, Jennifer ^a   Boydell, Katherine ^a   Christensen, Helen ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCREDITATION; ADOPTION; APPLE; CONSUMER; CONTROLLED CLINICAL TRIAL; HUMAN; MENTAL HEALTH; PARTICIPATORY RESEARCH; PSYCHIATRY; RANDOMIZED CONTROLLED TRIAL; HEALTH CARE PLANNING; MOBILE APPLICATION; TELEMEDICINE;

HEALTH RESOURCES; HUMANS; MOBILE APPLICATIONS; PSYCHIATRY; TELEMEDICINE;

EID: 84963800281     PISSN: 13620347     EISSN: None     Source Type: Journal    
DOI: 10.1136/eb-2015-102278     Document Type: Article

References (17)

1. Leigh S, Flatt S. App-based psychological interventions: friend or foe? Evid Based Ment Health 2015;18:97-9.
2. Donker T, Petrie K, Proudfoot J, et al. Smartphones for smarter delivery of mental health programs: a systematic review. J Med Internet Res 2013;15:e247.
3. Nicholas J, Larsen ME, Proudfoot J, et al. Mobile apps for bipolar disorder: a systematic review of features and content quality. J Med Internet Res 2015;17: e198.
4. Abroms LC, Lee Westmaas J, Bontemps-Jones J, et al. A content analysis of popular smartphone apps for smoking cessation. Am J Prev Med 2013;45:732-6.
5. Mohr DC, Cheung K, Schueller SM, et al. Continuous evaluation of evolving behavioral intervention technologies. Am J Prev Med 2013;45:517-23.
6. Dallery J, Cassidy RN, Raiff BR. Single-case experimental designs to evaluate novel technology-based health interventions. J Med Internet Res 2013;15:e22.
7. Martin JL, Simons L, Craven MP, et al. Towards a framework for the appraisal of digital products for mental health. Int J Integr Care 2014;14:8.
8. Boudreaux ED, Waring ME, Hayes RB, et al. Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations. Transl Behav Med 2014;4:363-71.
9. Lafrenière D, Menuz V, Hurlimann T, et al. Knowledge dissemination interventions: a literature review. SAGE Open 2013;3:1-14.
10. Christensen H, Murray K, Calear AL, et al. Beacon: a web portal to high-quality mental health websites for use by health professionals and the public. Med J Aust 2010;192:S40-4.
11. Proudfoot J, Parker G, Pavlovic D, et al. Community attitudes to the appropriation of mobile phones for monitoring and managing depression, anxiety, and stress. J Med Internet Res 2010;12:e64.
12. Huckvale K, Prieto JT, Tilney M, et al. Unaddressed privacy risks in accredited health and wellness apps: a cross-sectional systematic assessment. BMC Med 2015;13:214.
13. PAS 277:2015 Health and wellness apps. Quality criteria across the life cycle. Code of practice. British Standards Institution. 30th April 2015. MindTech co-author on Steering Group (Craven, MP).
14. Griffiths KM, Tang TT, Hawking D, et al. Automated assessment of the quality of depression websites. J Med Internet Res 2005;7:e59.
15. Lin J. New ways to find (and stream) app content in Google Search [Internet]. Google Inside Search. 2015 [cited 23 December 2015]. http://insidesearch.blogspot.com.au/2015/11/new-ways-to-find-and-stream-app-content.html
16. Nilsen P. Making sense of implementation theories, models and frameworks. Implement Sci 2015;10:53.
17. Fixsen DL, Naoom SF, Blase KA, et al. Implementation research: a synthesis of the literature. Tampa, FL: University of South Florida, Louis de la Parte Florida Mental Health Institute, The National Implimentation Research Network. 2005.