Alliance of Chicago Community Health Services, Chicago, Illinois.
Chicago Department of Public Health, 333 S. State St, 2nd Floor, Chicago, IL 60604. Email:
Prev Chronic Dis. 2018 Jan 18;15:E09. doi: 10.5888/pcd15.170085.
Monitoring and understanding population health requires conducting health-related surveys and surveillance. The objective of our study was to assess whether data from self-administered surveys could be collected electronically from patients in urban, primary-care, safety-net clinics and subsequently linked and compared with the same patients' electronic health records (EHRs).
Data from self-administered surveys were collected electronically from a convenience sample of 527 patients at 2 Chicago health centers from September through November, 2014. Survey data were linked to EHRs.
A total of 251 (47.6%) patients who completed the survey consented to having their responses linked to their EHRs. Consenting participants were older, more likely to report fair or poor health, and took longer to complete the survey than those who did not consent. For 8 of 18 categorical variables, overall percentage of agreement between survey data and EHR data exceeded 80% (sex, race/ethnicity, pneumococcal vaccination, self-reported body mass index [BMI], diabetes, high blood pressure, medication for high blood pressure, and hyperlipidemia), and of these, the level of agreement was good or excellent (κ ≥0.64) except for pneumococcal vaccination (κ = 0.40) and hyperlipidemia (κ = 0.47). Of 7 continuous variables, agreement was substantial for age and weight (concordance coefficients ≥0.95); however, with the exception of calculated survey BMI and EHR-BMI (concordance coefficient = 0.88), all other continuous variables had poor agreement.
Self-administered and web-based surveys can be completed in urban, primary-care, safety-net clinics and linked to EHRs. Linking survey and EHR data can enhance public health surveillance by validating self-reported data, completing gaps in patient data, and extending sample sizes obtained through current methods. This approach will require promoting and sustaining patient involvement.
监测和了解人口健康状况需要进行与健康相关的调查和监测。我们的研究目的是评估从城市初级保健保障诊所的患者那里通过自我管理的调查是否可以收集电子数据，以及随后将这些数据与同一患者的电子健康记录（EHR）进行链接和比较。
2014 年 9 月至 11 月，从芝加哥的 2 个医疗中心通过方便抽样的方式对 527 名患者进行了自我管理调查的数据电子收集。将调查数据与 EHR 进行了链接。
共有 251 名（47.6%）完成调查的患者同意将其回答与 EHR 进行链接。同意参与的患者年龄较大，更有可能报告健康状况不佳或较差，并且完成调查的时间比不同意的患者要长。在 18 个分类变量中，有 8 个变量（性别、种族/民族、肺炎球菌疫苗接种、自我报告的体重指数[BMI]、糖尿病、高血压、高血压药物治疗和高脂血症）的调查数据与 EHR 数据之间的总体一致性超过 80%（κ≥0.64），其中除了肺炎球菌疫苗接种（κ=0.40）和高脂血症（κ=0.47）外，一致性良好或极好（κ≥0.64）。在 7 个连续变量中，年龄和体重的一致性很高（一致性系数≥0.95）；然而，除了计算得出的调查 BMI 和 EHR-BMI（一致性系数=0.88）之外，所有其他连续变量的一致性都很差。
自我管理和基于网络的调查可以在城市初级保健保障诊所中完成，并与 EHR 进行链接。链接调查和 EHR 数据可以通过验证自我报告的数据、填补患者数据的空白以及通过当前方法扩展获得的样本量，从而增强公共卫生监测。这种方法将需要促进和维持患者的参与。
