Title: Current status of postnatal depression smartphone applications available on application stores: an information quality analysis
year: 2017
Journal: BMJ Open
Volume: 7
Issue: 11
Pages: e015655
date: 01/11/2014
ISSN: 2044-6055 (Electronic);2044-6055 (Linking)
Legal note: PMC5695478
Article Number: 29138195
Keywords: mhealth;postnatal depression;silberg scale
Abstract: OBJECTIVES: It is the aim of the current research to identify some common functionalities of postnatal application, and to determine the quality of the information content of postnatal depression application using validated scales that have been applied for applications in other specialties. SETTINGS AND PARTICIPANTS: To determine the information quality of the postnatal depression smartphone applications, the two most widely used smartphone application stores, namely Apple iTunes as well as Google Android Play store, were searched between 20May and 31 May. No participants were involved. The inclusion criteria for the application were that it must have been searchable using the keywords 'postnatal', 'pregnancy', 'perinatal', 'postpartum' and 'depression', and must be in English language. INTERVENTION: The Silberg Scale was used in the assessment of the information quality of the smartphone applications. PRIMARY AND SECONDARY OUTCOMES MEASURE: The information quality score was the primary outcome measure. RESULTS: Our current results highlighted that while there is currently a myriad of applications, only 14 applications are specifically focused on postnatal depression. In addition, the majority of the currently available applications on the store have only disclosed their last date of modification as well as ownership. There remain very limited disclosures about the information of the authors, as well as the references for the information included in the application itself. The average score for the Silberg Scale for the postnatal applications we have analysed is 3.0. CONCLUSIONS: There remains a need for healthcare professionals and developers to jointly conceptualise new applications with better information quality and evidence base.
Notes: Zhang, Melvyn Wb;Ho, Roger Cm;Loh, Alvona;Wing, Tracey;Wynne, Olivia;Chan, Sally Wai Chi;Car, Josip;Fung, Daniel Shuen Sheng;eng;England;2017/11/16 06:00;BMJ Open. 2017 Nov 14;7(11):e015655. doi: 10.1136/bmjopen-2016-015655.
URL: https://www.ncbi.nlm.nih.gov/pubmed/29138195;https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695478/pdf/bmjopen-2016-015655.pdf
URI: https://open-access.imh.com.sg/handle/123456789/5103
Authors Address: National Addictions Management Service, Institute of Mental Health, Singapore, Singapore.;Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.;National Psychiatry Residency Program, National Healthcare Group, Singapore, Singapore.;Faculty of Health and Medicine School of Nursing and Midwifery, University of Newcastle, Callaghan, New South Wales, Australia.;Centre for Population Health Sciences (CePHaS), Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.;Global eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, United Kingdom.;Institute of Mental Health, Singapore, Singapore.
Appears in Collections:2017

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