ClinicalTrials.gov
public full text
Public Domain
Reducing High-Risk Geriatric Polypharmacy Via EHR Nudges R01 Trial
High-risk polypharmacy is common among older adults in the United States, is particularly dangerous for individuals with dementia or cognitive impairment, and is associated with harms such as adverse drug reactions, falls, and higher costs of care. This project aims to test in a pragmatic clinic-randomized controlled trial two electronic health record-based behavioral economic nudges to help clinicians reduce high-risk polypharmacy among their older adult patients and in the subgroup with dementia or cognitive impairment. The main questions this trial aims to answer are: Aim 1: To evaluate the effects of an EHR-based commitment nudge, a justification nudge, and the combination of both nudges on a composite measure of high-risk polypharmacy via a pragmatic randomized controlled trial. The investigators will use cluster randomization in which primary care clinics are randomized to receive 0, 1, or 2 nudges using a factorial design. The nudges will run for 18 months, followed by 12 months of observation to assess persistence of effects. Aim 2: To qualitatively and quantitatively assess clinician experiences with the EHR-based nudges, including their acceptability and effects on workflow. At the conclusion of the intervention period, the investigators will perform semi-structured interviews and field a clinician survey.
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
- A Spanish Pillbox App for Elderly Patients Taking Multiple Medications#801983
- Follow the Money: A Composite Behavioral Risk Scoring Approach to Detect Cognitive Decline in Older Bank Customers#308140
- ToolBox Detect: Low Cost Detection of Cognitive Decline in Primary Care Settings#851260
- Behavioral Economic Approaches for Population-Based Colorectal Cancer Screening#811187
- Advancing VR-based Attentional Bias as a Biomarker for Tobacco Use Disorder#845794
Record · ID 1137407
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