A review of mobile chatbot apps for anxiety and depression and their self-care features

<h3>Background </h3><p dir="ltr">Anxiety and depression rates are at an all-time high. Smartphone-based mental health chatbots can aid psychiatrists replacing some of the costly human based interaction providing a unique opportunity to expand the availability and quality...

Full description

Saved in:
Bibliographic Details
Main Author: Arfan Ahmed (17541309) (author)
Other Authors: Nashva Ali (18456747) (author), Sarah Aziz (17541312) (author), Alaa A Abd-alrazaq (18810256) (author), Asmaa Hassan (18595732) (author), Mohamed Khalifa (6844124) (author), Bushra Elhusein (17191261) (author), Maram Ahmed (18810259) (author), Mohamed Ali Siddig Ahmed (18810262) (author), Mowafa Househ (9154124) (author)
Published: 2021
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864513511768457216
author Arfan Ahmed (17541309)
author2 Nashva Ali (18456747)
Sarah Aziz (17541312)
Alaa A Abd-alrazaq (18810256)
Asmaa Hassan (18595732)
Mohamed Khalifa (6844124)
Bushra Elhusein (17191261)
Maram Ahmed (18810259)
Mohamed Ali Siddig Ahmed (18810262)
Mowafa Househ (9154124)
author2_role author
author
author
author
author
author
author
author
author
author_facet Arfan Ahmed (17541309)
Nashva Ali (18456747)
Sarah Aziz (17541312)
Alaa A Abd-alrazaq (18810256)
Asmaa Hassan (18595732)
Mohamed Khalifa (6844124)
Bushra Elhusein (17191261)
Maram Ahmed (18810259)
Mohamed Ali Siddig Ahmed (18810262)
Mowafa Househ (9154124)
author_role author
dc.creator.none.fl_str_mv Arfan Ahmed (17541309)
Nashva Ali (18456747)
Sarah Aziz (17541312)
Alaa A Abd-alrazaq (18810256)
Asmaa Hassan (18595732)
Mohamed Khalifa (6844124)
Bushra Elhusein (17191261)
Maram Ahmed (18810259)
Mohamed Ali Siddig Ahmed (18810262)
Mowafa Househ (9154124)
dc.date.none.fl_str_mv 2021-05-08T06:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.cmpbup.2021.100012
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/A_review_of_mobile_chatbot_apps_for_anxiety_and_depression_and_their_self-care_features/26020885
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Clinical sciences
Health sciences
Health services and systems
Information and computing sciences
Human-centred computing
Anxiety
Depression
Chatbots
Pandemics
COVID-19
dc.title.none.fl_str_mv A review of mobile chatbot apps for anxiety and depression and their self-care features
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Background </h3><p dir="ltr">Anxiety and depression rates are at an all-time high. Smartphone-based mental health chatbots can aid psychiatrists replacing some of the costly human based interaction providing a unique opportunity to expand the availability and quality of mental health intervention whilst providing an alternative approach to fill the much-needed self-care gap. </p><h3>Objective </h3><p dir="ltr">Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems. </p><h3>Methods </h3><p dir="ltr">A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbot apps for anxiety and depression. Eligibility was assessed by two individuals based on predefined eligibility criteria. Meta-data of the included chatbots and their characteristics were extracted from their description and post-installation by two reviewers. Information on quality was assessed by following the mHONcode principles. </p><h3>Results </h3><p dir="ltr">Only a handful (n=11) of chatbots were included from an initial search of 1000 that provide a substitute for human-human based interaction and clearly had a therapeutic human substitute goal in mind. The majority of reviewed apps had a high number of downloads indicating their popularity. The apps were also of a general high quality based on our assessment according to the mHONcode principles. </p><h3>Conclusion </h3><p dir="ltr">The general popularity of apps reviewed, and results of our quality assessment indicate chatbots have a promising future within the realm of anxiety and depression. Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed low-cost assistance to professionals.</p><h2>Other Information</h2><p dir="ltr">Published in: Computer Methods and Programs in Biomedicine Update<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cmpbup.2021.100012" target="_blank">https://dx.doi.org/10.1016/j.cmpbup.2021.100012</a></p>
eu_rights_str_mv openAccess
id Manara2_f8841fc7f734e44ab4f8f9d85b17b5b3
identifier_str_mv 10.1016/j.cmpbup.2021.100012
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/26020885
publishDate 2021
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling A review of mobile chatbot apps for anxiety and depression and their self-care featuresArfan Ahmed (17541309)Nashva Ali (18456747)Sarah Aziz (17541312)Alaa A Abd-alrazaq (18810256)Asmaa Hassan (18595732)Mohamed Khalifa (6844124)Bushra Elhusein (17191261)Maram Ahmed (18810259)Mohamed Ali Siddig Ahmed (18810262)Mowafa Househ (9154124)Biomedical and clinical sciencesClinical sciencesHealth sciencesHealth services and systemsInformation and computing sciencesHuman-centred computingAnxietyDepressionChatbotsPandemicsCOVID-19<h3>Background </h3><p dir="ltr">Anxiety and depression rates are at an all-time high. Smartphone-based mental health chatbots can aid psychiatrists replacing some of the costly human based interaction providing a unique opportunity to expand the availability and quality of mental health intervention whilst providing an alternative approach to fill the much-needed self-care gap. </p><h3>Objective </h3><p dir="ltr">Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems. </p><h3>Methods </h3><p dir="ltr">A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbot apps for anxiety and depression. Eligibility was assessed by two individuals based on predefined eligibility criteria. Meta-data of the included chatbots and their characteristics were extracted from their description and post-installation by two reviewers. Information on quality was assessed by following the mHONcode principles. </p><h3>Results </h3><p dir="ltr">Only a handful (n=11) of chatbots were included from an initial search of 1000 that provide a substitute for human-human based interaction and clearly had a therapeutic human substitute goal in mind. The majority of reviewed apps had a high number of downloads indicating their popularity. The apps were also of a general high quality based on our assessment according to the mHONcode principles. </p><h3>Conclusion </h3><p dir="ltr">The general popularity of apps reviewed, and results of our quality assessment indicate chatbots have a promising future within the realm of anxiety and depression. Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed low-cost assistance to professionals.</p><h2>Other Information</h2><p dir="ltr">Published in: Computer Methods and Programs in Biomedicine Update<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cmpbup.2021.100012" target="_blank">https://dx.doi.org/10.1016/j.cmpbup.2021.100012</a></p>2021-05-08T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.cmpbup.2021.100012https://figshare.com/articles/journal_contribution/A_review_of_mobile_chatbot_apps_for_anxiety_and_depression_and_their_self-care_features/26020885CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/260208852021-05-08T06:00:00Z
spellingShingle A review of mobile chatbot apps for anxiety and depression and their self-care features
Arfan Ahmed (17541309)
Biomedical and clinical sciences
Clinical sciences
Health sciences
Health services and systems
Information and computing sciences
Human-centred computing
Anxiety
Depression
Chatbots
Pandemics
COVID-19
status_str publishedVersion
title A review of mobile chatbot apps for anxiety and depression and their self-care features
title_full A review of mobile chatbot apps for anxiety and depression and their self-care features
title_fullStr A review of mobile chatbot apps for anxiety and depression and their self-care features
title_full_unstemmed A review of mobile chatbot apps for anxiety and depression and their self-care features
title_short A review of mobile chatbot apps for anxiety and depression and their self-care features
title_sort A review of mobile chatbot apps for anxiety and depression and their self-care features
topic Biomedical and clinical sciences
Clinical sciences
Health sciences
Health services and systems
Information and computing sciences
Human-centred computing
Anxiety
Depression
Chatbots
Pandemics
COVID-19