ClinicalTrials.gov
public full text
Public Domain
Electronic Tools to Increase Recognition and Improve Primary Care Management for Hypertension in Chronic Kidney Disease
In this project the investigators will create computer reminders through user-centered design and will validate the logic using retrospective electronic health record (EHR) data. Then the investigators will test the reminders in primary care clinics to see if they improve treatment of high blood pressure in early chronic kidney disease. Hypothesis: The mean systolic blood pressure of the chronic kidney disease (CKD) population can be decreased by an intervention with three innovative features: 1) methods to synthesize EHR data in order to identify under-diagnosed chronic conditions, 2) iterative improvement in clinical decision support (CDS) content through human factors methods to maximize the "informativeness" of the CDS, and 3) the use of behavioral economic principles to create behavioral "nudges" internal and external to the CDS.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Information Technology-based Interventions for Health Care Support in Patients with Chronic Kidney Disease: A Systematic Review#1005184
- iControl Chronic Kidney Disease#885222
- Chronic kidney disease progression rate and predictors in hypertensive patients: A 5-year retrospective follow-up study in Ethiopia.#455531
- Chronic kidney disease progression rate and predictors in hypertensive patients: A 5-year retrospective follow-up study in Ethiopia#453117
- Efficient Self-management of Chronic Disease Using Health Information Technology - a Study on Hypertension#405246
Record · ID 1371925
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive