Daley Matthew F, Reifler Liza M, Shoup Jo Ann, Glanz Jason M, Lewin Bruno J, Klein Nicola P, Kharbanda Elyse O, McLean Huong Q, Hambidge Simon J, Nelson Jennifer C, Naleway Allison L, Weintraub Eric S, McNeil Michael M, Razzaghi Hilda, Singleton James A
Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA.
Vaccine. 2024 Apr 19;42(11):2740-2746. doi: 10.1016/j.vaccine.2024.03.052. Epub 2024 Mar 25.
To assess the validity of electronic health record (EHR)-based influenza vaccination data among adults in a multistate network.
Following the 2018-2019 and 2019-2020 influenza seasons, surveys were conducted among a random sample of adults who did or did not appear influenza-vaccinated (per EHR data) during the influenza season. Participants were asked to report their influenza vaccination status; self-report was treated as the criterion standard. Results were combined across survey years.
Survey response rate was 44.7% (777 of 1740) for the 2018-2019 influenza season and 40.5% (505 of 1246) for the 2019-2020 influenza season. The sensitivity of EHR-based influenza vaccination data was 75.0% (95% confidence interval [CI] 68.1, 81.1), specificity 98.4% (95% CI 92.9, 99.9), and negative predictive value 73.9% (95% CI 68.0, 79.3).
In a multistate research network across two recent influenza seasons, there was moderate concordance between EHR-based vaccination data and self-report.
评估基于电子健康记录(EHR)的多州网络中成人流感疫苗接种数据的有效性。
在2018 - 2019年和2019 - 2020年流感季节之后,对在流感季节期间根据EHR数据显示接种或未接种流感疫苗的成人随机样本进行调查。参与者被要求报告他们的流感疫苗接种状况;自我报告被视为标准对照。各调查年份的结果进行合并。
2018 - 2019年流感季节的调查回复率为44.7%(1740人中777人),2019 - 2020年流感季节为40.5%(1246人中505人)。基于EHR的流感疫苗接种数据的敏感性为75.0%(95%置信区间[CI] 68.1,81.1),特异性为98.4%(95% CI 92.9,99.9),阴性预测值为73.9%(95% CI 68.0,79.3)。
在最近两个流感季节的多州研究网络中,基于EHR的疫苗接种数据与自我报告之间存在中等程度的一致性。