Dataset Information

Current status of postnatal depression smartphone applications available on application stores: an information quality analysis.

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.

SUBMITTER: Zhang MW

PROVIDER: S-EPMC5695478 | biostudies-other | 2017 Nov

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Current status of postnatal depression smartphone applications available on application stores: an information quality analysis.

Zhang Melvyn Wb MW Ho Roger Cm RC Loh Alvona A Wing Tracey T Wynne Olivia O Chan Sally Wai Chi SWC Car Josip J Fung Daniel Shuen Sheng DSS

BMJ open 20171114 11

<h4>Objectives</h4>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.<h4>Settings and participants</h4>To determine the information quality of the postnatal depression smartphone applications, the two most widely used smartphone application stores, namely Apple iTunes a ...[more]

PMID: 29138195

Similar Datasets

Project description:IntroductionDepression is the leading cause of life years lost due to disability. Appropriate prevention has the potential to reduce the incidence of new cases of depression, however, traditional prevention approaches face significant scalability issues. Prevention programmes delivered by via smartphone applications provide a potential solution. The workplace is an ideal setting to roll out this form of intervention, particularly among industries that are unlikely to access traditional health initiatives and whose workplace characteristics create accessibility and portability issues. The study aims to evaluate the effectiveness of a smartphone application designed to prevent depression and improve well-being. The effectiveness of the app as a universal, selective and indicated prevention tool will also be evaluated.Methods and analysisA multicentre randomised controlled trial, to determine the effectiveness of the intervention compared with an active mood monitoring control in reducing depressive symptoms (primary outcome) and the prevalence of depression at 3 months, with secondary outcomes assessing well-being and work performance. Employees from a range of industries will be invited to participate. Participants with likely current depression at baseline will be excluded. Following baseline assessment, participants, blinded to their allocation, will be randomised to receive one of two versions of the application: headgear (a 30-day mental health intervention) or a control application (mood monitoring for 30 days). Both versions of the app contain a risk calculator to provide a measure of future risk. Analyses will be conducted within an intention-to-treat framework using mixed modelling, with additional analyses conducted to compare the moderating effect of baseline risk level and depression symptom severity on the intervention's effectiveness.Ethics and disseminationThe current trial has received ethics approval from the University of New South Wales Human Research Ethics Committee (HC17021). Study results will be disseminated through peer-reviewed journals and conferences.Trial registration numberACTRN12617000548336; Results.

Dataset Information

Current status of postnatal depression smartphone applications available on application stores: an information quality analysis.

Publications

Current status of postnatal depression smartphone applications available on application stores: an information quality analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets