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Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation

BACKGROUND: Mobile apps offer a potential mechanism for people with persistent pain to monitor pain levels conveniently within their own environment and for clinicians to remotely monitor their patients’ pain. However, the quality of currently available apps and the usefulness of included features f...

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Autores principales: Simmich, Joshua, Ross, Megan Heather, Andrews, Nicole Emma, Vaezipour, Atiyeh, Russell, Trevor Glen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510453/
https://www.ncbi.nlm.nih.gov/pubmed/37706480
http://dx.doi.org/10.2196/46881
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author Simmich, Joshua
Ross, Megan Heather
Andrews, Nicole Emma
Vaezipour, Atiyeh
Russell, Trevor Glen
author_facet Simmich, Joshua
Ross, Megan Heather
Andrews, Nicole Emma
Vaezipour, Atiyeh
Russell, Trevor Glen
author_sort Simmich, Joshua
collection PubMed
description BACKGROUND: Mobile apps offer a potential mechanism for people with persistent pain to monitor pain levels conveniently within their own environment and for clinicians to remotely monitor their patients’ pain. However, the quality of currently available apps and the usefulness of included features from a clinical perspective are not known. OBJECTIVE: The aim of this study was to examine the content and quality of currently available smartphone apps designed for monitoring the intensity or presence of musculoskeletal or neuropathic pain. METHODS: A systematic search was performed in the Australian Apple and Google Play stores. Apps were included if they were designed to monitor the intensity or presence of musculoskeletal or neuropathic pain and were available in the English language within the Australian app stores. Data pertaining to the intended use of the app and clinical population were extracted by using a custom-designed data extraction form, and app quality was assessed by using the 23-item Mobile App Rating Scale. RESULTS: Of the 2190 apps screened, 49 met the inclusion criteria. Apps were primarily designed for adult users (36/49, 73%) with nonspecific musculoskeletal or neuropathic pain conditions, arthritis, and joint pain. All apps monitored pain intensity, with almost half (23/49, 47%) also specifying pain location. Overall, the mean quality scores from the Mobile App Rating Scale ranged from 1.5 to 4.4 (out of 5.0). Between 20% (10/49) and 22% (11/49) of apps involved clinicians, consumers, or both in their development, and 20% (10/49) had published literature related to the development or use of the app in clinical scenarios. Although 71% (35/49) had data sharing features, only 5 apps enabled client-clinician communication through the app. CONCLUSIONS: The overall quality of mobile apps that are currently available for monitoring pain intensity is acceptable. Presently, mobile apps for remote pain monitoring lack functionality for clinicians to view data between consults. Both users and clinicians should be aware of the limitations of these apps and make informed choices in using or recommending apps that best suit the clinical need.
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spelling pubmed-105104532023-09-21 Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation Simmich, Joshua Ross, Megan Heather Andrews, Nicole Emma Vaezipour, Atiyeh Russell, Trevor Glen JMIR Mhealth Uhealth Original Paper BACKGROUND: Mobile apps offer a potential mechanism for people with persistent pain to monitor pain levels conveniently within their own environment and for clinicians to remotely monitor their patients’ pain. However, the quality of currently available apps and the usefulness of included features from a clinical perspective are not known. OBJECTIVE: The aim of this study was to examine the content and quality of currently available smartphone apps designed for monitoring the intensity or presence of musculoskeletal or neuropathic pain. METHODS: A systematic search was performed in the Australian Apple and Google Play stores. Apps were included if they were designed to monitor the intensity or presence of musculoskeletal or neuropathic pain and were available in the English language within the Australian app stores. Data pertaining to the intended use of the app and clinical population were extracted by using a custom-designed data extraction form, and app quality was assessed by using the 23-item Mobile App Rating Scale. RESULTS: Of the 2190 apps screened, 49 met the inclusion criteria. Apps were primarily designed for adult users (36/49, 73%) with nonspecific musculoskeletal or neuropathic pain conditions, arthritis, and joint pain. All apps monitored pain intensity, with almost half (23/49, 47%) also specifying pain location. Overall, the mean quality scores from the Mobile App Rating Scale ranged from 1.5 to 4.4 (out of 5.0). Between 20% (10/49) and 22% (11/49) of apps involved clinicians, consumers, or both in their development, and 20% (10/49) had published literature related to the development or use of the app in clinical scenarios. Although 71% (35/49) had data sharing features, only 5 apps enabled client-clinician communication through the app. CONCLUSIONS: The overall quality of mobile apps that are currently available for monitoring pain intensity is acceptable. Presently, mobile apps for remote pain monitoring lack functionality for clinicians to view data between consults. Both users and clinicians should be aware of the limitations of these apps and make informed choices in using or recommending apps that best suit the clinical need. JMIR Publications Inc 2023-09-13 /pmc/articles/PMC10510453/ /pubmed/37706480 http://dx.doi.org/10.2196/46881 Text en © Joshua Simmich, Megan Heather Ross, Nicole Emma Andrews, Atiyeh Vaezipour, Trevor Glen Russell. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 13.9.2023. https://creativecommons.org/licenses/by/4.0/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 JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Simmich, Joshua
Ross, Megan Heather
Andrews, Nicole Emma
Vaezipour, Atiyeh
Russell, Trevor Glen
Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation
title Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation
title_full Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation
title_fullStr Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation
title_full_unstemmed Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation
title_short Content and Quality of Mobile Apps for the Monitoring of Musculoskeletal or Neuropathic Pain in Australia: Systematic Evaluation
title_sort content and quality of mobile apps for the monitoring of musculoskeletal or neuropathic pain in australia: systematic evaluation
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510453/
https://www.ncbi.nlm.nih.gov/pubmed/37706480
http://dx.doi.org/10.2196/46881
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