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Nurse effects on measurement error in household biosocial surveys.
BMC Medical Research Methodology ( IF 4 ) Pub Date : 2020-02-27 , DOI: 10.1186/s12874-020-00922-2
Alexandru Cernat 1 , Joseph W Sakshaug 2, 3, 4
Affiliation  

BACKGROUND Biosocial survey data are in high demand, yet little is known about the measurement quality of health measures collected by nurses in respondents' homes. Our objective was to analyze the degree to which nurses influence measurement in anthropometric and physical performance indicators collected from respondents in two nationally-representative UK biosocial surveys. METHODS The English Longitudinal Survey of Ageing and the UK Household Longitudinal Study - Understanding Society were used to analyze fourteen anthropometric and physical performance measures covering weight, height, pulse, grip strength, and lung capacity. Cross-classified multilevel models were used to estimate "nurse effects" on measurement error. RESULTS Overall, there is a medium effect of nurses on measurement. Across all measures collected in both studies, nurses explain around 13% of all measurement variation. Variation in specific measures range between approximately 2 and 25%. Grip strength and lung capacity are more heavily influenced by nurses than are height, weight, and pulse. Lastly, nurse characteristics explain only a very small proportion of nurse measurement variation. CONCLUSION Objective health measures collected by nurses in household biosocial surveys are susceptible to non-trivial amounts of measurement variation. Nurse ID numbers should be regularly included in biosocial data releases to allow researchers to account for this unnecessary source of variation. Further, researchers are advised to conduct sensitivity analyses using control variables that account for nurse variation to confirm whether their substantive findings are influenced by nurse measurement effects.

中文翻译:

护士对家庭生物社会调查中测量误差的影响。

背景技术对生物社会调查数据的需求很高,但对受访者家中护士收集的健康措施的测量质量知之甚少。我们的目标是分析在两次英国全国性生物社会调查中,从受访者那里收集的人体测量和身体表现指标中护士对测量的影响程度。方法使用英国纵向老龄化调查和英国家庭纵向研究-理解协会来分析十四种人体测量和身体表现指标,包括体重,身高,脉搏,握力和肺活量。使用交叉分类的多级模型来估计对测量误差的“护士效应”。结果总体而言,护士对测量的影响中等。在两项研究中收集的所有指标中,护士解释了所有指标变化的大约13%。具体措施的差异范围大约为2%至25%。护士的握力和肺活量受身高,体重和脉搏的影响更大。最后,护士的特征只能解释很小比例的护士测量变化。结论护士在家庭生物社会调查中收集的客观健康指标容易受到衡量指标变化的影响。护士ID号应定期包含在生物社会数据发布中,以使研究人员能够解释这种不必要的变异来源。进一步,
更新日期:2020-04-22
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