Effectiveness of exercise programs to reduce low back pain among nurses and nursing assistants: A systematic review and meta-analysis.

Introduction: Nurses have a high prevalence of low back pain due to ergonomic hazards in healthcare workplaces. While exercise programs have been suggested as an intervention strategy, the effectiveness of low back pain programs has been inconsistent in the research literature. The purpose of study is to determine the effect of exercise programs to reduce low back pain among nursing staff.

Machine learning approach to determine the decision rules in ergonomic assessment of working posture in sewing machine operators.

Introduction: There are some inherent problems with the use of observation methods in the ergonomic assessment of working posture, namely the stability and precision of the measurements. This study aims to use a machine learning (ML) approach to avoid the subjectivity bias of observational methods in ergonomic assessments and further identify risk patterns for work-related musculoskeletal disorders (WMSDs) among sewing machine operators.

Methods: We proposed a decision tree analysis scheme for ergonomic assessment in working postures (DTAS-EAWP).

Development of an educational protocol for ergonomic risk assessment of working postures to enhance the competence of occupational health nurses.

Aim: To develop a protocol and provide a valid, evidence-based procedure for identifying the ergonomic risk of working postures by occupational health nurses.

Background: Although ergonomic risk assessment tools have been used for the early detection of risky working postures, their operational procedures and validations do not target the competence of occupational nursing personnel.

Design: This study developed and validated an educational protocol, comprised of 13 procedures in five stages.