PCORI implementation projects promote the use of findings from PCORI-funded studies. This project focuses on implementing findings from the completed PCORI-funded research project: Predicting Who Will Respond Best to Medical Treatments
This project is in progress.
What were the results from the original PCORI-funded research study?
In this PCORI-funded pilot project, the research team looked at data from 32 previous clinical studies to see how treatments affected different groups of people. For example, the team’s review of data from the Diabetes Prevention Program study showed that most of the benefit was limited to study patients at highest risk for the disease. Other patients got much less or no benefit. The team used these findings to develop a prediction method that will tell doctors how likely it is that a patient will benefit from a treatment.
Why is this research finding important?
One in three adults are at risk for diabetes. But this risk varies across patients. This PCORI-funded study demonstrated methods that can identify which people are at higher or lower risk for developing diabetes in the near term. This information could help patients and doctors choose a way to prevent diabetes that works best for them.
What is the goal of this project?
This project is using the prediction method the research team developed in an electronic health record, or EHR, system. Doctors can then see information on a patient’s risk of developing diabetes during the patient’s visit. Doctors and patients can talk about this information to help decide on a prevention strategy.
What is the project team doing?
The project team is working with the American Medical Group Association, or AMGA, to adapt the prediction method so it can use patient data in the EHR system. First, two clinic sites will test the EHR prediction method to see if it’s easy to use during patient visits. Then the project team will place the method in the EHRs at 50 AMGA member clinics from Mercy Health Systems and Premier Medical Associates.
How is the project team evaluating this project?
The project team is tracking
- If doctors are using the prediction method to learn about their patients’ risk for diabetes
- If doctors using the prediction method refer more patients at high risk for diabetes to receive preventive treatment
- If patients who get referrals follow through with their treatment plan
How is the project team involving patients and others in making sure the findings reach people who can use them?
Doctors, nurses, and patients are advising the team on what information to include in the EHR prediction method. They are also giving input on how it should look and how doctors should use it to share risk information with patients.
Related PCORI-funded Research Project
Tailoring Study Results to an Individual Patient
This study shows that data from large clinical studies can provide not just the average effect of a treatment, as most studies now do, but indicate which patients are likely to benefit—or not. Principal Investigator David Kent’s team is now working with the American Medical Group Association to spread the risk model to 50 clinics in two major health systems.
Implementing a Diabetes Risk Assessment Tool into Clinical Practice (above)
Hear researchers describe their PCORI-funded project, which used electronic health records to develop and test a prediction method that allows doctors to see information on a patient’s risk of developing diabetes. They are now working to implement the prediction method tool in practice through a PCORI Dissemination and Implementation Award.