Use of Prescription Monitoring Programs to Improve Patient Care and Outcomes

Research project

Description

DESCRIPTION (provided by applicant): The overarching goal of this research is to help providers improve the care of complex patients requesting controlled prescription medication. Specifically, the study examines the potential of a statewide prescription monitoring program (PMP) to help providers assess whether a given patient has a legitimate pain need, an addiction, or intent to divert or misuse controlled substances. Over the past decade, increasing availability of prescription opioids has led to a substantial increase in opioid misuse, poisonings, and related deaths. In response, 38 states have implemented PMPs in an attempt to combat this rising epidemic, but research on PMP effectiveness remains limited. Few studies have examined the processes by which providers might use PMPs to decide whether to prescribe or to refer for more appropriate care. Most states' PMPs focus on law enforcement, with the aim of identifying doctor shoppers and regulating inappropriate or illegal prescribing. However, Oregon plans to implement a PMP in 2010 with a public health focus, offering a unique opportunity to study how providers integrate PMPs into clinical care and to inform the development of clinical guidelines for PMP use. This study has three specific aims. First, we aim to compare the specialty and demographic characteristics of providers who use or do not use the PMP, and to identify barriers to using PMP data. These findings will assist state PMPs to increase adoption rates among providers. Second, we aim to understand how and when providers use PMP data to intervene with patients and make clinical decisions about prescribing controlled medications or referring to more appropriate treatment. These findings will inform the development of national clinical guidelines by offering recommendations regarding use of PMPs to improve quality of care. Third, we will compare patient outcomes among PMP users and non-users, including hospitalizations, emergency department use, and evidence of diversion. These data will begin to explore whether PMPs are effective at reducing diversion and misuse of controlled prescription medications, an assumption underlying many PMPs, but which, to date, remains largely untested. The research methods to accomplish these aims include an electronic survey of providers, qualitative interviews with PMP users, mapping of clinical decision-making processes with super users, and quantitative analysis of claims and pharmacy data on patient outcomes. PUBLIC HEALTH RELEVANCE: Prescription monitoring programs (PMPs) exist in 38 states to combat the rising national epidemic of prescription drug abuse and related overdoses and deaths, yet there is scant research exploring their clinical utility and effectiveness. Little is known regarding how PMP information can be used by providers to differentiate between patients with legitimate clinical needs (e.g., pain control) and those that may be abusing or misusing medications, and to make appropriate treatment decisions. Findings from this study will inform PMP administrators, policy makers, clinical experts, and practitioners nationwide regarding the development of guidelines for incorporating PMP data into clinical practice, thereby improving population outcomes while maintaining prescribing practices for patients with legitimate needs.
StatusFinished
Effective start/end date2/15/121/31/17

Funding

  • National Institutes of Health: $566,052.00
  • National Institutes of Health: $49,999.00
  • National Institutes of Health: $609,308.00
  • National Institutes of Health: $533,300.00
  • National Institutes of Health: $551,456.00
  • National Institutes of Health: $557,947.00

Fingerprint

Prescriptions
Patient Care
Research
Guidelines
Opioid Analgesics
Pain
Controlled Substances
Insurance Claim Review
Law Enforcement
Quality of Health Care
Program Evaluation
Poisoning
Hospital Emergency Service
Hospitalization
Public Health
Demography
Interviews

Keywords

  • Medicine(all)