Samuels Mary H, Schuff Robert, Beninato Peter, Gorsuch Adriel, Dursch James, Egan Sarah, Adams Bridget, Hollis Kate F, Navarro Rachel, Burdick Timothy E
Oregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR, USA.
Information Technology Group, Oregon Health & Science University, Portland, OR, USA.
J Clin Transl Sci. 2017 Dec;1(6):366-372. doi: 10.1017/cts.2018.5.
It is not clear how to effectively recruit healthy research volunteers.
We developed an electronic health record (EHR)-based algorithm to identify healthy subjects, who were randomly assigned to receive an invitation to join a research registry via the EHR's patient portal, letters, or phone calls. A follow-up survey assessed contact preferences.
The EHR algorithm accurately identified 858 healthy subjects. Recruitment rates were low, but occurred more quickly via the EHR patient portal than letters or phone calls (2.7 vs. 19.3 or 10.4 d). Effort and costs per enrolled subject were lower for the EHR patient portal (3.0 vs. 17.3 or 13.6 h, $113 vs. $559 or $435). Most healthy subjects indicated a preference for contact via electronic methods.
Healthy subjects can be accurately identified from EHR data, and it is faster and more cost-effective to recruit healthy research volunteers using an EHR patient portal.
目前尚不清楚如何有效地招募健康的研究志愿者。
我们开发了一种基于电子健康记录（EHR）的算法来识别健康受试者，这些受试者被随机分配通过EHR的患者门户、信件或电话收到加入研究登记处的邀请。一项后续调查评估了联系偏好。
EHR算法准确识别出858名健康受试者。招募率较低，但通过EHR患者门户比通过信件或电话更快（分别为2.7天、19.3天或10.4天）。EHR患者门户每招募一名受试者所需的工作量和成本更低（分别为3.0小时、17.3小时或13.6小时，113美元、559美元或435美元）。大多数健康受试者表示更喜欢通过电子方式联系。
可以从EHR数据中准确识别健康受试者，使用EHR患者门户招募健康研究志愿者更快且更具成本效益。
