EFFECTS OF AN ERGONOMIC INTERVENTION FOR COMPUTER WORK

没有精心设计的对照研究证明其价值 “最佳实践”人体工程学干预措施，以减少肌肉骨骼风险 计算机操作员的障碍和损伤。因此，建议 人类工程学和工作组织干预的指导方针已经 被质疑有未经证实的好处。这项随机研究的主要目的是 对照试验是为了确定在12个月的时间内， 应用于175台计算机的最新人体工程学干预包 客户服务运营商，是与改善风险的上限 四肢/颈部肌肉骨骼疾病，手臂或颈部疼痛天数，手功能， 损失的时间，和生产力相比，175个控制对象。历史 将使用基线问卷评估协变量， 将使用退出问卷验证协变量。干预将 包括可选几何形状键盘和鼠标、环绕前臂的大包裹物 休息、显示器位置调整、视力检查、座椅调整，以及 训练对照组将收到一个新的传统几何键盘 和培训及其有效上肢和颈部疼痛的严重程度，手功能和 损失的时间将通过每周一次的问卷调查进行跟踪， 互联网如果超过了预定的疼痛阈值， 将进行检查，以确定是否有肌肉骨骼 无序存在。多元线性回归和Logistic回归 模型将被应用于检查主要影响，并控制显着 协变量这项研究旨在检测肌肉骨骼的减少， 按疼痛严重程度的一半或中等效应量（0.5SD）计算的发生率-周 得分将估计实施干预措施的总费用。的 调查结果和建议将在全州范围内传播， 加州卫生服务部

No well-designed, controlled studies have demonstrated the value of 'best practice' ergonomic interventions to reduce risk for musculoskeletal disorders and impairment among computer operators. Therefore, proposed guidelines for ergonomic and work organizational interventions have been challenged as having unproven benefit. The primary aim of this randomized controlled trial is to determine whether, over a 12 month period, a state-of-the-art ergonomic intervention package applied to 175 computer based customer service operators, is associated with an improvement in risk of upper extremity/neck musculoskeletal disorder, arm or neck pain-days, hand function, lost-time, and productivity in comparison to 175 controls subjects. Historical co-variates will be assessed with a baseline questionnaire and stability of co-variates will be verified with an exit questionnaire. The intervention will include an alternative geometry keyboard and mouse, large wrap around forearm rest, monitor location adjustment, vision check, chair adjustment, and training. The control group will receive a new conventional geometry keyboard and training. Upper extremity and neck pain severity, hand function and lost-time will be followed with a weekly questionnaire administered via the Internet. If a predetermined pain threshold is exceeded then a physical examination will be performed to determine whether or not a musculoskeletal disorder is present. Multivariate linear regression and logistic regression models will be applied examine main effects and to control for significant co-variates. The study is designed to detect a reduction of musculoskeletal incidence by half or a medium effect size (0.5SD) of the pain severity-week score. The total cost of implementing the intervention will be estimated. The findings and recommendations will be disseminated statewide in cooperation with the California Department of Health Services.