Exploring mHealth applications for self-management of chronic low back pain : a survey of features and benefits
Kheirinejad, Saba; Visuri, Aku; Suryanarayana, Sharadhi Alape; Hosio, Simo (2023-06-06)
Saba Kheirinejad, Aku Visuri, Sharadhi Alape Suryanarayana, Simo Hosio, Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits, Heliyon, Volume 9, Issue 6, 2023, e16586, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2023.e16586
© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
https://urn.fi/URN:NBN:fi-fe20230823103133
Tiivistelmä
Abstract
The adoption of Mobile Health (mHealth) for self-management is growing. mHealth solutions are commonly used in public healthcare and health services, where they are appreciated for their ease of use, broad reach, and wide acceptance. Chronic Low Back Pain (CLBP) is one of the most common health problems and a leading cause of disability. As such, it imposes a tremendous burden on patients and society. Studies have proposed that mHealth self-management solutions, such as mobile applications, can supplement traditional care methods and benefit patients, particularly in self-managing CLBP easier. To this end, the number of available mobile applications for CLBP has increased. This paper i) provides an overview of scientific studies on mobile applications for CLBP management from three different viewpoints: researchers, health professionals, and patients, ii) uncovers the application features that were seen as beneficial in the studies, and iii) contrasts the currently available applications for CLBP in Google Play Store and Apple App Store against the discovered features. The findings show that “Personalization and customization” is the most significant feature as it is beneficial from stakeholders’ viewpoint and is represented by most applications. In contrast, “Gamification” and “Artificial intelligence” are the least significant features, indicating a lack of attention from application creators and researchers in this area.
Kokoelmat
- Avoin saatavuus [37957]
Samankaltainen aineisto
Näytetään aineisto, joilla on samankaltaisia nimekkeitä, tekijöitä tai asiasanoja.
-
A conceptual framework to design connected mental health solutions in the United Arab Emirates : questionnaire study
Drissi, Nidal; Ouhbi, Sofia; Amiri, Leena; Al Mugaddam, Fadwa; Jan, Reem K; Isomursu, Minna
JMIR formative research : 2 (JMIR Publications, 07.02.2022) -
The use of patient-generated health data from consumer-grade mobile devices in clinical workflows : protocol for a systematic review
Guardado Medina, Sharon; Isomursu, Minna
JMIR research protocols (JMIR Publications, 27.02.2023) -
Mental health promotion in comprehensive schools
Onnela, Anna
Acta Universitatis Ouluensis. D, Medica : 1714 (University of Oulu, 14.04.2023)