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Mobile applications for pain management: an app analysis for clinical usage

BACKGROUND: Pain is the most common and distressing symptom for patients in all clinical settings. The dearth of health informatics tools to support acute and chronic pain management may be contributing to the chronic pain and opioid abuse crises. The purpose of this study is to qualitatively evalua...

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Autores principales: Zhao, Peng, Yoo, Illhoi, Lancey, Robert, Varghese, Ebby
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543581/
https://www.ncbi.nlm.nih.gov/pubmed/31146739
http://dx.doi.org/10.1186/s12911-019-0827-7
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author Zhao, Peng
Yoo, Illhoi
Lancey, Robert
Varghese, Ebby
author_facet Zhao, Peng
Yoo, Illhoi
Lancey, Robert
Varghese, Ebby
author_sort Zhao, Peng
collection PubMed
description BACKGROUND: Pain is the most common and distressing symptom for patients in all clinical settings. The dearth of health informatics tools to support acute and chronic pain management may be contributing to the chronic pain and opioid abuse crises. The purpose of this study is to qualitatively evaluate the content and functionality of mobile pain management apps. METHODS: The Apple App Store and the Google Play Store were searched to identify pain management apps. The inclusion criteria were as follows: (1) that apps include a pain diary function allowing users to record pain episodes, (2) are available in either Apple App Store or Google Play Store, and (3) are available in the English language. We excluded apps if they were limited to only specific forms of pain or specific diseases. RESULTS: A total of 36 apps met the inclusion criteria. Most of the apps served as pain diary tools to record the key characteristics of pain. The pain diary features of the apps were grouped into nine categories: the recordings of pain intensity, pain location, pain quality, pain’s impacts on daily life, other features of pain, other related symptoms, medication, patients’ habits and basic information, and other miscellaneous functions. The apps displayed various problems in use. The problem of not involving healthcare professionals in app development has not been resolved. Approximately 31% of apps including a pain diary function engaged clinicians in app development. Only 19% involved end-users in development and then only in an ad-hoc way. Only one third of the apps supported the cross-platforms, none of the apps supported clinician access to graphical pain data visualization, none secured HIPAA compliance, and none endorsed the PEG tool for primary care physicians’ chronic pain management. CONCLUSIONS: Most of the 36 pain management apps demonstrated various problems including user interface and security. Many apps lacked clinician and end-user involvement in app development impacting the clinical utility of these apps. We could not find any pain apps suitable for clinical usage despite high demand from clinicians due to the US opioid crisis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-019-0827-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-65435812019-06-04 Mobile applications for pain management: an app analysis for clinical usage Zhao, Peng Yoo, Illhoi Lancey, Robert Varghese, Ebby BMC Med Inform Decis Mak Research Article BACKGROUND: Pain is the most common and distressing symptom for patients in all clinical settings. The dearth of health informatics tools to support acute and chronic pain management may be contributing to the chronic pain and opioid abuse crises. The purpose of this study is to qualitatively evaluate the content and functionality of mobile pain management apps. METHODS: The Apple App Store and the Google Play Store were searched to identify pain management apps. The inclusion criteria were as follows: (1) that apps include a pain diary function allowing users to record pain episodes, (2) are available in either Apple App Store or Google Play Store, and (3) are available in the English language. We excluded apps if they were limited to only specific forms of pain or specific diseases. RESULTS: A total of 36 apps met the inclusion criteria. Most of the apps served as pain diary tools to record the key characteristics of pain. The pain diary features of the apps were grouped into nine categories: the recordings of pain intensity, pain location, pain quality, pain’s impacts on daily life, other features of pain, other related symptoms, medication, patients’ habits and basic information, and other miscellaneous functions. The apps displayed various problems in use. The problem of not involving healthcare professionals in app development has not been resolved. Approximately 31% of apps including a pain diary function engaged clinicians in app development. Only 19% involved end-users in development and then only in an ad-hoc way. Only one third of the apps supported the cross-platforms, none of the apps supported clinician access to graphical pain data visualization, none secured HIPAA compliance, and none endorsed the PEG tool for primary care physicians’ chronic pain management. CONCLUSIONS: Most of the 36 pain management apps demonstrated various problems including user interface and security. Many apps lacked clinician and end-user involvement in app development impacting the clinical utility of these apps. We could not find any pain apps suitable for clinical usage despite high demand from clinicians due to the US opioid crisis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-019-0827-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-30 /pmc/articles/PMC6543581/ /pubmed/31146739 http://dx.doi.org/10.1186/s12911-019-0827-7 Text en © The Author(s). 2019 Open AccessThis 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.
spellingShingle Research Article
Zhao, Peng
Yoo, Illhoi
Lancey, Robert
Varghese, Ebby
Mobile applications for pain management: an app analysis for clinical usage
title Mobile applications for pain management: an app analysis for clinical usage
title_full Mobile applications for pain management: an app analysis for clinical usage
title_fullStr Mobile applications for pain management: an app analysis for clinical usage
title_full_unstemmed Mobile applications for pain management: an app analysis for clinical usage
title_short Mobile applications for pain management: an app analysis for clinical usage
title_sort mobile applications for pain management: an app analysis for clinical usage
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543581/
https://www.ncbi.nlm.nih.gov/pubmed/31146739
http://dx.doi.org/10.1186/s12911-019-0827-7
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