The Efficacy of Artificial Intelligence-Based Self-Management Health Programs on Workers with Neck and Shoulder Pain/Stiffness and Lower Back Pain: A Systematic Review

Authors

Clarissa Ardalin Cendera, Faculty of Medicine, Pelita Harapan University
Mariaman Tjendera, Medilab Occupational Health Clinic

Abstract

Background. Work-related musculoskeletal disorders (WRMDs) are common health problems in the working population and have increased the number of lost work days per year. However, this increase in the number of WRMDs has yet to meet with the limited availability of healthcare resources that promote self-management for WRMDs. This study aims to highlight the efficacy of Artificial Intelligence-based, self-management health programs as support for workers suffering from WRMDs.

Methods. Databases, such as PubMed and Google Scholar, were systematically analyzed and extracted on June 26, 2023. Keywords including “artificial intelligence” AND “musculoskeletal pain” were used to gain relevant studies. Studies in English from the last five years, mainly randomized controlled trials, were included in this review. Studies that were systematic reviews, meta-analyses, animal studies, and case reports were excluded. The Newcastle Ottawa Scale (NOS) was then used to assess the studies' quality.

Results. Four RCTs and one CT are used in this review, including 1550 participants. All of the studies used were of good quality based on the NOS. All studies show that AI-based health programs improve work productivity as a whole in patients with co-occurring WRMDs, and are said to be user-friendly, potentially outperforming online search engines for symptom assessment, saving time, increasing helpfulness, and boosting worker productivity.

Conclusion. AI-based Health Programs are new, effective ways of solving WRMDs. However, further studies and trials are needed to identify elements of the program that lead to this successful outcome for further development, followed by the implementation of digitally supported self-management interventions in specialist care.

Recommended Citation

Ardalin Cendera, Clarissa and Tjendera, Mariaman (2024) "The Efficacy of Artificial Intelligence-Based Self-Management Health Programs on Workers with Neck and Shoulder Pain/Stiffness and Lower Back Pain: A Systematic Review," Occupational and Environmental Medicine Journal of Indonesia: Vol. 2: No. 2, Article 1.
DOI: 10.7454/oemji.v2i2.1052
Available at: https://scholarhub.ui.ac.id/oemji/vol2/iss2/1