Adult Changes in Thought Study

Electronic Health Record & Utilization Data

Health Record Data.png Data Description

Because participants in the Adult Changes in Thought (ACT) Study are selected from among Kaiser Permanente Washington members, the ACT Study provides the opportunity to link to a standardized Virtual Data Warehouse (VDW) holding datasets adhering to a common data model. This contains information on health plan administrative data, clinical encounter and utilization data, pharmacy dispensings, laboratory measures, and other medical record data on ACT participants. Additional information on the VDW can be found on the Health Care Systems Research Network (HCSRN) website.

Important note: Only selected elements from the electronic health record regarding utilization, medical diagnoses, procedures, and prescriptions are available in an adjudicated dataset. Any requests for data beyond the adjudicated elements will be subject to in-depth review to ascertain data availability, effort required to pull the data, and confidentiality of the particular data elements.

Study Forms

Not applicable. Because these data elements come from health plan clinical and claims data, no forms are used to collect these data from participants.

Key Publications

The following publications provide additional detail on the ACT electronic health record data elements. These may be helpful supporting citations when publishing analyses using these data.

  • Ross TR, Ng D, Brown JS, Pardee R, Hornbrook MC, Hart G, & Steiner JF. (2014). The HMO Research Network Virtual Data Warehouse: A Public Data Model to Support Collaboration. EGEMS (Washington, DC), 2(1), 1049.
  • Gray SL, Anderson ML, Dublin S, Hanlon JT, Hubbard R, Walker R, Yu O, Crane PK, Larson EB. (2015). Cumulative use of strong anticholinergics and incident dementia: a prospective cohort study. JAMA Internal Medicine, 175(3):401-7.
  • Gray SL, Walker RL, Dublin S, Yu O, Aiello Bowles EJ, Anderson ML, Crane PK, Larson EB. (2018). Proton Pump Inhibitor Use and Dementia Risk: Prospective Population-Based Study. Journal of the American Geriatrics Society, 66(2):247-253.
  • Barnes DE, Zhou J, Walker RL, Larson EB, Lee SJ, Boscardin WJ, Marcum ZA, Dublin S. (2020). Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia. Journal of the American Geriatrics Society, 68(1):103-111.