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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Arfan Ahmed (17541309) (author)
مؤلفون آخرون: 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)
منشور في: 2021
الموضوعات:
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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
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oai_identifier_str oai:figshare.com:article/26020885
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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