Better tools for managing diarrhea in children
Development of clinical decision tools for management of diarrhea of children in high and low resource settings
['FUNDING_R01'] · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · NIH-11084404
This project creates new digital tools to help doctors make better decisions about treating diarrhea in children, both in places with many resources and those with few.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH (nih funded) |
| Locations | 1 site (SALT LAKE CITY, UNITED STATES) |
| Trial ID | NIH-11084404 on ClinicalTrials.gov |
What this research studies
Diarrhea is a major health concern for children worldwide, leading to many deaths in low-income countries and significant healthcare use in high-income areas. While rehydration is key, antibiotics are often overused because doctors frequently guess at the cause of diarrhea. This project aims to improve how we predict the cause of diarrhea by including information beyond just a child's symptoms, like local climate and past patient data. We are developing an electronic tool that can estimate the cause of diarrhea, which could help reduce unnecessary antibiotic prescriptions. This work seeks to provide healthcare providers with more accurate guidance for treatment.
Who could benefit from this research
Good fit: This research is relevant to children aged 0-11 years who experience acute diarrhea, particularly those seen in emergency departments or ambulatory care facilities.
Not a fit: Patients whose diarrhea is not related to the types of conditions or settings addressed by these decision tools may not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this work could lead to more accurate diagnosis and treatment of diarrhea in children, potentially reducing unnecessary antibiotic use and improving health outcomes.
How similar studies have performed: Preliminary data suggests that integrating patient-extrinsic data can improve prediction models and that electronic decision-support tools can decrease antibiotic prescription rates.
Where this research is happening
SALT LAKE CITY, UNITED STATES
- UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH — SALT LAKE CITY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: LEUNG, DANIEL TED — UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- Study coordinator: LEUNG, DANIEL TED
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.