Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines

Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines

Suboptimal understanding of depression and mental health disorders by the general population is an important contributor to the wide treatment gap in depression. Mental health literacy encompasses knowledge and beliefs about mental disorders and supports their recognition, management, and prevention...

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Main Authors: Martinengo, Laura, Stona, Anne-Claire, Car, Lorainne Tudor, Lee, Jimmy, Griva, Konstadina, Car, Josip
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2022
Subjects:
Science::Medicine
Mental Health Literacy
Depression
Online Access:https://hdl.handle.net/10356/160154
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1601542023-03-05T16:52:29Z Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines Martinengo, Laura Stona, Anne-Claire Car, Lorainne Tudor Lee, Jimmy Griva, Konstadina Car, Josip Lee Kong Chian School of Medicine (LKCMedicine) Institute of Mental Health, Singapore Centre for Population Health Sciences Science::Medicine Mental Health Literacy Depression Suboptimal understanding of depression and mental health disorders by the general population is an important contributor to the wide treatment gap in depression. Mental health literacy encompasses knowledge and beliefs about mental disorders and supports their recognition, management, and prevention. Besides knowledge improvement, psychoeducational interventions reduce symptoms of depression, enhance help-seeking behavior, and decrease stigma. Mental health apps often offer educational content, but the trustworthiness of the included information is unclear. Ministry of Health (MOH) Nanyang Technological University National Research Foundation (NRF) Published version LM gratefully acknowledges Nanyang Technological University Research Scholarship (LKCMedicine) support for her PhD studentship which enabled this work. JL is supported by the Ministry of Health National Medical Research Council Clinician Scientist Award (MOH-000013). JC’s post at Imperial College London is supported by the National Institute for Health Research Northwest London Applied Research Collaboration. JC is supported by the National Research Foundation, Prime Minister’s Office, Singapore, under its Campus for Research Excellence and Technological Enterprise program 2022-07-14T01:03:57Z 2022-07-14T01:03:57Z 2022 Journal Article Martinengo, L., Stona, A., Car, L. T., Lee, J., Griva, K. & Car, J. (2022). Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines. Journal of Medical Internet Research, 24(3), e28942-. https://dx.doi.org/10.2196/28942 1438-8871 https://hdl.handle.net/10356/160154 10.2196/28942 35262489 2-s2.0-85126078178 3 24 e28942 en MOH-000013 Journal of Medical Internet Research © 2022 Laura Martinengo, Anne-Claire Stona, Lorainne Tudor Car, Jimmy Lee, Konstadina Griva, Josip Car. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 09.03.2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Mental Health Literacy
Depression
spellingShingle Science::Medicine
Mental Health Literacy
Depression
Martinengo, Laura
Stona, Anne-Claire
Car, Lorainne Tudor
Lee, Jimmy
Griva, Konstadina
Car, Josip
Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines
description Suboptimal understanding of depression and mental health disorders by the general population is an important contributor to the wide treatment gap in depression. Mental health literacy encompasses knowledge and beliefs about mental disorders and supports their recognition, management, and prevention. Besides knowledge improvement, psychoeducational interventions reduce symptoms of depression, enhance help-seeking behavior, and decrease stigma. Mental health apps often offer educational content, but the trustworthiness of the included information is unclear.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Martinengo, Laura
Stona, Anne-Claire
Car, Lorainne Tudor
Lee, Jimmy
Griva, Konstadina
Car, Josip
format Article
author Martinengo, Laura
Stona, Anne-Claire
Car, Lorainne Tudor
Lee, Jimmy
Griva, Konstadina
Car, Josip
author_sort Martinengo, Laura
title Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines
title_short Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines
title_full Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines
title_fullStr Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines
title_full_unstemmed Education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines
title_sort education on depression in mental health apps: systematic assessment of characteristics and adherence to evidence-based guidelines
publishDate 2022
url https://hdl.handle.net/10356/160154
_version_ 1759854977959854080

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