Exploring Contemporary Variability in PDMP Budgets and Data Sharing Across the United States
Author(s)
Poonam S. Bhatjire, MS, PhD1, Marc Fleming, BS, MPH, RPh, PhD2;
1Chapman University School of Pharmacy, Ph.D. Student, Irvine, CA, USA, 2Chapman University School of Pharmacy, Irvine, CA, USA
1Chapman University School of Pharmacy, Ph.D. Student, Irvine, CA, USA, 2Chapman University School of Pharmacy, Irvine, CA, USA
Presentation Documents
OBJECTIVES: In 2022, the United States reported 107,941 drug overdose deaths, including 81,806 opioid-related fatalities. All states have implemented prescription drug monitoring programs (PDMPs) to address prescription-related misuse. Previous research shows that PDMP robustness is more effective in reducing mortality. Despite this, the financial and operational status of PDMPs remains underexplored. Integration incorporates PDMP data into EHRs, enabling seamless access to a patient’s prescription history within the clinical workflow. Therefore, this study aimed to examine the state-allocated PDMP budgets and associated features to assess PDMP robustness.
METHODS: Data were collected from the PDMP Training and Technical Assistance Center (TTAC) in fall 2024. Data included operational annual budgets for state PDMPs, interstate data-sharing capabilities, and EHR integration levels. Descriptive statistics were used to characterize PDMP data, and Python was used to graphically examine the trends regarding budgeting and program operations (e.g., EHR integration) across all 50 states.
RESULTS: Descriptive statistics of PDMP budgets across states revealed a mean (SD) of $1,355,094 (±863,440.95), indicating substantial budget variability. Washington allocated the highest budget ($4.6 million) despite a smaller population (7.8 million), while New Jersey allocated ($500,000), with 9.3 million people. PDMP interstate data sharing shows a mean of 29.86 (±10.76). California stood out as an outlier, sharing data with only Oregon, while Missouri does not share data. Among all 50 states, 16 reported an EHR integration level of 75-100%.
CONCLUSIONS: Substantial variability exists in PDMP funding, EHR integration levels, and interstate data-sharing capabilities. Efforts to enhance funding, promote seamless data integration, and strengthen interstate collaborations could improve PDMP effectiveness in reducing opioid-related harm and supporting better patient outcomes. Additionally, more research is needed to explore the optimal strategies for PDMP funding and interstate data sharing to ensure equitable and efficient implementation.
METHODS: Data were collected from the PDMP Training and Technical Assistance Center (TTAC) in fall 2024. Data included operational annual budgets for state PDMPs, interstate data-sharing capabilities, and EHR integration levels. Descriptive statistics were used to characterize PDMP data, and Python was used to graphically examine the trends regarding budgeting and program operations (e.g., EHR integration) across all 50 states.
RESULTS: Descriptive statistics of PDMP budgets across states revealed a mean (SD) of $1,355,094 (±863,440.95), indicating substantial budget variability. Washington allocated the highest budget ($4.6 million) despite a smaller population (7.8 million), while New Jersey allocated ($500,000), with 9.3 million people. PDMP interstate data sharing shows a mean of 29.86 (±10.76). California stood out as an outlier, sharing data with only Oregon, while Missouri does not share data. Among all 50 states, 16 reported an EHR integration level of 75-100%.
CONCLUSIONS: Substantial variability exists in PDMP funding, EHR integration levels, and interstate data-sharing capabilities. Efforts to enhance funding, promote seamless data integration, and strengthen interstate collaborations could improve PDMP effectiveness in reducing opioid-related harm and supporting better patient outcomes. Additionally, more research is needed to explore the optimal strategies for PDMP funding and interstate data sharing to ensure equitable and efficient implementation.
Conference/Value in Health Info
2025-05, ISPOR 2025, Montréal, Quebec, CA
Value in Health, Volume 28, Issue S1
Code
HPR58
Topic
Health Policy & Regulatory
Topic Subcategory
Public Spending & National Health Expenditures
Disease
No Additional Disease & Conditions/Specialized Treatment Areas, SDC: Mental Health (including addition)