Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits

被引:8
|
作者
Kheirinejad, Saba [1 ]
Visuri, Aku [1 ]
Suryanarayana, Sharadhi Alape [1 ]
Hosio, Simo [1 ]
机构
[1] Univ Oulu, Oulu, Finland
基金
芬兰科学院;
关键词
Mobile health; mHealth; Chronic low back pain; CLBP; Self-management; mHealth solutions; mHealth applications; Smartphone applications; Mobile applications; Mobile apps; Health professionals; Patients; PATIENT-PROFESSIONAL PARTNERSHIPS; CHRONIC MUSCULOSKELETAL PAIN; PATIENTS PERCEPTIONS; CARE; INTERVENTION; EXERCISE; SUPPORT; ADHERENCE; ADOPTION; PEOPLE;
D O I
10.1016/j.heliyon.2023.e16586
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:21
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