ClinicalTrials.gov
public full text
Public Domain
Increasing Screening for Cancer Using EHR-Nudges
In this study, personalized nudges to clinicians and patients will be evaluated to help increase breast cancer screening rates in accordance with USPSTF guidelines among women with a primary care visit, with a particular emphasis on those at high risk for non-completion of cancer screening. In partnership with Penn Medicine (Penn) and Case Western Reserve University-University Hospitals (UH), two complementary, concurrent, 6-month, cluster-randomized, pragmatic trials will be conducted. Those assigned to the intervention arm will receive the following clinician and patient level nudge interventions: clinicians will receive a default pended order for a mammogram in the visit encounter in the EHR (Penn and UH), and patients will receive post-visit text message reminders to encourage them to schedule their mammogram (Penn). Patients identified as high risk for noncompletion will be individually randomized to receive an additional bidirectional text message nudge or the standard text messaging (Penn).
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
- Perceived colorectal cancer candidacy and the role of candidacy in colorectal cancer screening#684844
- Cost-Related Barriers, Mental Distress, and Cervical Cancer Screening Adherence: A BRFSS 2024 Analysis.#430921
- Cancer screening as a double-edged sword: short-term cost surge and cross-sectional expenditure patterns among urban retirees in Jiangsu, China.#358138
- Change in Symptom Clusters in HNC Patients#1152823
- Guideline for Health Data Access Bodies on fees and penalties for non-compliance related to the EHDS regulation#245060
Record · ID 1008999
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