280472
Prescription drug abuse: Developing evidence-based state level interventions
Methods: In 2011, 232 Mississippians died of unintentional drug overdose (ICD-10 x40-44). Data from these 232 decedents were compared with prescription monitoring program data to identify patterns of prescription use in the two years prior to death.
Results/Discussion: Limitations in the current software have blocked mechanized analysis of the data. As a result, the project currently serves as an example of "lessons learned" in data analysis with multiple stakeholders. Some analysis was still performed. Using the vital statistics data, variations were identified. The rate of mortality due to unintentional poisoning by drug overdose was nearly three times higher in Public Health Region IX as in the rest of the state over 2007-2011. These variations are almost certainly attributable to the racial distribution of the decedents, with 90 percent categorized as white. Needs for the software program were identified, and the prescription monitoring program is incorporating changes into a new software system to be implemented in 2013.
Provision of health care to the public
Public health or related laws, regulations, standards, or guidelines
Public health or related organizational policy, standards, or other guidelines
Public health or related public policy
Systems thinking models (conceptual and theoretical models), applications related to public health
Learning Objectives:
Discuss prescription drug monitoring program (PMP) in Mississippi, with historical and national context.
Describe current project to coordinate between the PMP and the Mississippi State Department of Health's Office of Vital Records (MSDH) to compare 2011 unintentional poisoning deaths with two years of prescription drug history.
3) Evaluate "lessons learned" in the PMP data match project.
Keywords: Prescription Drug Use Patterns, Data/Surveillance
Qualified on the content I am responsible for because: I have been coordinating the project between the Mississippi State Department of Health and the Prescription Monitoring Program to match data and analyze findings.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.