How accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative data.
How accurate are self-reports? Analysis of self-reported health care utilization and absence when compared with administrative data.
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DOI：
10.1097/jom.0b013e3181a86671
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发表时间：
2009-07
影响因子：
3.2
通讯作者：
Wilson MG
中科院分区：
文献类型：
--
作者：
Short ME;Goetzel RZ;Pei X;Tabrizi MJ;Ozminkowski RJ;Gibson TB;Dejoy DM;Wilson MG
确定健康风险评估（HRA）报告的自我报告的医疗保健利用和缺勤与行政索赔和人力资源记录的准确性。自我报告的医疗保健利用和缺勤的价值进行了分析，以符合行政索赔的价值。一致性百分比、Pearson相关性和多变量逻辑回归模型检查了一致性参与者的一致性水平和特征。自我报告和管理数据显示，与年度医疗保健利用指标相比，每月的一致性更高。一致性百分比范围为30%至99%，每年看医生的一致性百分比最低。年轻人、男性、受过高等教育的人和健康的人更准确地报告了他们的医疗保健利用率和缺勤率。当医疗索赔和管理数据不可用时，自我报告的医疗保健利用和缺勤可用作替代，特别是对于较短的召回期。
To determine the accuracy of self-reported healthcare utilization and absence reported on health risk assessments (HRAs) against administrative claims and human resource records. Self-reported values of healthcare utilization and absenteeism were analyzed for concordance to administrative claims values. Percent agreement, Pearson’s correlations, and multivariate logistic regression models examined the level of agreement and characteristics of participants with concordance. Self-report and administrative data showed greater concordance for monthly compared to yearly healthcare utilization metrics. Percent agreement ranged from 30 to 99% with annual doctor visits having the lowest percent agreement. Younger people, males, those with higher education, and healthier individuals more accurately reported their healthcare utilization and absenteeism. Self-reported healthcare utilization and absenteeism may be used as a proxy when medical claims and administrative data are unavailable, particularly for shorter recall periods.