Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines

Background: There are an estimated 800,000 suicides per year globally, and approximately 16,000,000 suicide attempts. Mobile apps may help address the unmet needs of people at risk. We assessed adherence of suicide prevention advice in depression management and suicide prevention apps to six evidenc...

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Main Authors: Martinengo, Laura, Van Galen, Louise, Lum, Elaine, Kowalski, Martin, Subramaniam, Mythily, Car, Josip
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/148361
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-148361
record_format dspace
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Suicide
Suicide Prevention
spellingShingle Science::Medicine
Suicide
Suicide Prevention
Martinengo, Laura
Van Galen, Louise
Lum, Elaine
Kowalski, Martin
Subramaniam, Mythily
Car, Josip
Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines
description Background: There are an estimated 800,000 suicides per year globally, and approximately 16,000,000 suicide attempts. Mobile apps may help address the unmet needs of people at risk. We assessed adherence of suicide prevention advice in depression management and suicide prevention apps to six evidence-based clinical guideline recommendations: mood and suicidal thought tracking, safety plan development, recommendation of activities to deter suicidal thoughts, information and education, access to support networks, and access to emergency counseling. Methods: A systematic assessment of depression and suicide prevention apps available in Google Play and Apple’s App Store was conducted. Apps were identified by searching 42 matters in January 2019 for apps launched or updated since January 2017 using the terms“depression,”“depressed,”“depress,”“mood disorders,”“suicide,”and“self-harm.”General characteristics of apps, adherence with six suicide prevention strategies identified in evidence-based clinical guidelines using a 50-question checklist developed by the study team, and trustworthiness of the app based on HON code principles were appraised and reported as a narrative review, using descriptive statistics. Results: The initial search yielded 2690 potentially relevant apps. Sixty-nine apps met inclusion criteria and were systematically assessed. There were 20 depression management apps (29%), 3 (4%) depression management and suicide prevention apps, and 46 (67%) suicide prevention apps. Eight (12%) depression management apps were chatbots. Only 5/69 apps (7%) incorporated all six suicide prevention strategies. Six apps (6/69, 9%), including two apps available in both app stores and downloaded more than one million times each, provided an erroneous crisis helpline number. Most apps included emergency contact information (65/69 apps, 94%) and direct access to a crisis helpline through the app (46/69 apps, 67%). Conclusions: Non-existent or inaccurate suicide crisis helpline phone numbers were provided by mental health apps downloaded more than 2 million times. Only five out of 69 depression and suicide prevention apps offered all six evidence-based suicide prevention strategies. This demonstrates a failure of Apple and Google app stores, and the health app industry in self-governance, and quality and safety assurance. Governance levels should be stratified by the risks and benefits to users of the app, such as when suicide prevention advice is provided.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Martinengo, Laura
Van Galen, Louise
Lum, Elaine
Kowalski, Martin
Subramaniam, Mythily
Car, Josip
format Article
author Martinengo, Laura
Van Galen, Louise
Lum, Elaine
Kowalski, Martin
Subramaniam, Mythily
Car, Josip
author_sort Martinengo, Laura
title Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines
title_short Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines
title_full Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines
title_fullStr Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines
title_full_unstemmed Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines
title_sort suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines
publishDate 2021
url https://hdl.handle.net/10356/148361
_version_ 1759856064202801152
spelling sg-ntu-dr.10356-1483612023-03-05T16:49:17Z Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines Martinengo, Laura Van Galen, Louise Lum, Elaine Kowalski, Martin Subramaniam, Mythily Car, Josip Lee Kong Chian School of Medicine (LKCMedicine) Centre for Population Health Sciences Neuroscience and Mental Health Research Programme Science::Medicine Suicide Suicide Prevention Background: There are an estimated 800,000 suicides per year globally, and approximately 16,000,000 suicide attempts. Mobile apps may help address the unmet needs of people at risk. We assessed adherence of suicide prevention advice in depression management and suicide prevention apps to six evidence-based clinical guideline recommendations: mood and suicidal thought tracking, safety plan development, recommendation of activities to deter suicidal thoughts, information and education, access to support networks, and access to emergency counseling. Methods: A systematic assessment of depression and suicide prevention apps available in Google Play and Apple’s App Store was conducted. Apps were identified by searching 42 matters in January 2019 for apps launched or updated since January 2017 using the terms“depression,”“depressed,”“depress,”“mood disorders,”“suicide,”and“self-harm.”General characteristics of apps, adherence with six suicide prevention strategies identified in evidence-based clinical guidelines using a 50-question checklist developed by the study team, and trustworthiness of the app based on HON code principles were appraised and reported as a narrative review, using descriptive statistics. Results: The initial search yielded 2690 potentially relevant apps. Sixty-nine apps met inclusion criteria and were systematically assessed. There were 20 depression management apps (29%), 3 (4%) depression management and suicide prevention apps, and 46 (67%) suicide prevention apps. Eight (12%) depression management apps were chatbots. Only 5/69 apps (7%) incorporated all six suicide prevention strategies. Six apps (6/69, 9%), including two apps available in both app stores and downloaded more than one million times each, provided an erroneous crisis helpline number. Most apps included emergency contact information (65/69 apps, 94%) and direct access to a crisis helpline through the app (46/69 apps, 67%). Conclusions: Non-existent or inaccurate suicide crisis helpline phone numbers were provided by mental health apps downloaded more than 2 million times. Only five out of 69 depression and suicide prevention apps offered all six evidence-based suicide prevention strategies. This demonstrates a failure of Apple and Google app stores, and the health app industry in self-governance, and quality and safety assurance. Governance levels should be stratified by the risks and benefits to users of the app, such as when suicide prevention advice is provided. Nanyang Technological University Published version This study was funded by Nanyang Technological University, Singapore, through the Centre for Population Health Sciences (CePHaS), Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. Laura Martinengo is funded by a NTU Research Scholarship (LKCMedicine) during her PhD candidacy. 2021-05-04T04:10:43Z 2021-05-04T04:10:43Z 2019 Journal Article Martinengo, L., Van Galen, L., Lum, E., Kowalski, M., Subramaniam, M. & Car, J. (2019). Suicide prevention and depression apps' suicide risk assessment and management : a systematic assessment of adherence to clinical guidelines. BMC Medicine, 17(1). https://dx.doi.org/10.1186/s12916-019-1461-z 1741-7015 0000-0001-8969-371X https://hdl.handle.net/10356/148361 10.1186/s12916-019-1461-z 31852455 2-s2.0-85076912565 1 17 en BMC Medicine © 2019 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. application/pdf