NIH-funded research R21 grant

Using mobile health data to predict pain in children with sickle cell disease

Official title: Predicting Pediatric Sickle Cell Disease Acute Pain Using Mathematical Models Based on mHealth Data

Funded at Virginia Commonwealth University · NIH-10599401 · Data updated 2026-11-12

This study is looking to help kids with sickle cell disease by using mobile health data to predict when they might have painful episodes, so they can get the right care at the right time and feel better overall.

More Sickle Cell Disease research and trials

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionVirginia Commonwealth University
NIH-funded
Lab location1 site (Richmond, United States)
Project startSeptember 20, 2022
Project endSeptember 19, 2025
Funding year2022
Award (this year)$420,357
NIH project number1R21DE032583-01
Project IDNIH-10599401 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for this research are pediatric patients diagnosed with sickle cell disease who are experiencing acute pain episodes.

Less likely to help

Patients who do not have sickle cell disease or those who are not in the pediatric age group may not benefit from this research.

What this research studies

This research aims to develop mathematical models that can predict acute pain episodes in pediatric patients with sickle cell disease (SCD) by utilizing mobile health (mHealth) data. By analyzing real-time health information collected through mobile devices, the study seeks to identify patterns and precursors to pain episodes, allowing for better management and timely interventions. The goal is to enhance the accuracy of pain predictions, which could lead to improved pain management strategies and reduced reliance on opioids. This approach is designed to ultimately improve the quality of life for children suffering from SCD.

Why it matters

Potential benefit: If successful, this research could lead to more effective pain management strategies for children with sickle cell disease, reducing their reliance on opioids and improving their overall quality of life.

How similar studies have gone: Other research has shown promise in using mobile health data for predicting health outcomes, suggesting that this approach could be effective for managing pain in sickle cell disease.

Where this research is happening

  • Virginia Commonwealth University
    Richmond, United States
    Active

Researchers

  • Principal investigator: Valrie, Cecelia R — Virginia Commonwealth University
  • Study coordinator: Valrie, Cecelia R

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.