Faculty of Health, Social Care & Education, Anglia Ruskin University, Chelmsford CM1 1SQ, UK.
Occup Med (Lond). 2013 Mar;63(2):145-7. doi: 10.1093/occmed/kqs217. Epub 2013 Jan 9.
Psychosocial hazards in the workplace can impact upon employee health. The UK Health and Safety Executive's (HSE) Management Standards Indicator Tool (MSIT) appears to have utility in relation to health impacts but we were unable to find studies relating it to burnout.
To explore the utility of the MSIT in evaluating risk of burnout assessed by the Maslach Burnout Inventory-General Survey (MBI-GS).
This was a cross-sectional survey of 128 borough council employees. MSIT data were analysed according to MSIT and MBI-GS threshold scores and by using multivariate linear regression with MBI-GS factors as dependent variables.
MSIT factor scores were gradated according to categories of risk of burnout according to published MBI-GS thresholds, and identified priority workplace concerns as demands, relationships, role and change. These factors also featured as significant independent variables, with control, in outcomes of the regression analysis. Exhaustion was associated with demands and control (adjusted R (2) = 0.331); cynicism was associated with change, role and demands (adjusted R (2) =0.429); and professional efficacy was associated with managerial support, role, control and demands (adjusted R (2) = 0.413).
MSIT analysis generally has congruence with MBI-GS assessment of burnout. The identification of control within regression models but not as a priority concern in the MSIT analysis could suggest an issue of the setting of the MSIT thresholds for this factor, but verification requires a much larger study. Incorporation of relationship, role and change into the MSIT, missing from other conventional tools, appeared to add to its validity.
工作场所的心理社会危害会影响员工的健康。英国健康与安全执行局（HSE）的管理标准指标工具（MSIT）似乎与健康影响有关，但我们无法找到与之相关的倦怠研究。
探讨 MSIT 在评估倦怠风险方面的效用，该风险由 Maslach 倦怠量表-一般调查（MBI-GS）评估。
这是对 128 名行政区议会员工的横断面调查。根据 MSIT 和 MBI-GS 阈值分数分析 MSIT 数据，并使用多元线性回归，将 MBI-GS 因子作为因变量。
MSIT 因子分数根据发表的 MBI-GS 阈值的倦怠风险类别进行分级，确定了工作场所的优先关注点为需求、关系、角色和变化。这些因素也是回归分析中显著的自变量，与控制因素一起，对结果有影响。衰竭与需求和控制有关（调整后的 R²=0.331）；玩世不恭与变化、角色和需求有关（调整后的 R²=0.429）；职业效能与管理支持、角色、控制和需求有关（调整后的 R²=0.413）。
MSIT 分析与 MBI-GS 对倦怠的评估大致一致。在回归模型中识别出控制因素，但在 MSIT 分析中未将其列为优先关注点，这可能表明该因素的 MSIT 阈值设定存在问题，但需要进行更大规模的研究进行验证。将关系、角色和变化纳入 MSIT 中，这是其他常规工具所缺少的，这似乎增加了其有效性。
