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The impact of survey nonresponse on estimates of healthcare employee burnout

机译：调查非响应对医疗保健员工倦怠估计的影响

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摘要

Accurate estimates of burnout prevalence are critical for workforce planning. We assessed survey nonresponse bias and its impact on burnout estimates by linking 27,226 primary care employees to administrative data, categorized by whether they responded to a 2016 workforce survey (19.2% response). We adjusted burnout prevalence by response propensity using mixed-effects logistic regression. Thirty-six percent of respondents screened positive for burnout. There were significant differences between respondents and non-respondents (e.g., gender, tenure), but no difference between unadjusted (i.e., respondents only) and propensity-adjusted estimates of burnout among the workforce. This provides support that workforce surveys may yield valid burnout estimates despite low response.
机译：准确估计职业倦怠患病率对劳动力规划至关重要。我们通过将27226名初级保健员工与行政数据联系起来，评估了调查无反应偏差及其对职业倦怠估计的影响，这些数据根据他们是否对2016年的劳动力调查（19.2%的回应）进行了分类。我们使用混合效应逻辑回归通过反应倾向调整倦怠患病率。36%的受访者对职业倦怠呈阳性反应。受访者和非受访者（例如性别、任期）之间存在显著差异，但未经调整（即仅受访者）和倾向调整后的员工倦怠估计值之间没有差异。这为劳动力调查提供了支持，尽管回应率很低，但可以得出有效的倦怠估计。

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