Grant: $70,750 - National Institutes of Health - May. 21, 2009
No votes have been cast for this award yet
Award Description: The purpose of this proposed study is to utilize readily available administrative medical claims data for a commercially-insured population to both characterize and develop a model for predicting the probability of opioid misuse. The predictive natrue of this proposed studcy will assist both clinicians and third-party insurers in identifying patients that have a high likelihood of misusing opioids. Furthermore, we propose to identify indicators other than a diagonosis of opioid abuse or dependence that may aid in identifying patients whose use of opioids may be escalating to a problematic level. Aim 1: Develop a descriptive understanding of patients, including demographics, health status, health resource utilization. and health insurance characteristics, for individuals with a diagnosis of opioid dependence or abuse. Aim 2: Develop a predictive model based on patient health care utilization characteristics to predict opioid dependence or abuse among opioid users, as well as to describe characteristics of those who do not develop an abuse of dependence diagnosis. Aim 3: Identify variables, other than diagnosis of abuse or dependence, which may aid in the identification of individuals who misuse opioids.
Project Description: (See Award Description) Signed contract with an actuarial company who is subcontracting to the University of Montana for conduction analyses.
Jobs Summary: Prime Recipient Retained Professor in the Department of Psychology, Professor in the Pharamacy Department (Total jobs reported: 0)
Project Status: Less Than 50% Completed
This award's data was last updated on May. 21, 2009. Help expand these official descriptions using the wiki below.
Funds from this award have been disbursed to sub-grantees. Click here to see a list of sub-grantees.