BackgroundChronic pain is currently a significant health problem in the United States. A comprehensive strategy is needed to increase prevention of chronic pain and to improve care for chronic pain patients. However, development of a successful strategy relies, in part, on a better understanding of the demographics and socioeconomics of patients living with chronic pain conditions. The current study was designed to understand the burden of chronic pain in the state of Maine by identifying the prevalence of chronic pain and its relationship with selected demographic and socioeconomic factors in Maine.MethodsThe Maine All Payer Claims Database (MEAPCD) (2006–2011) was used in the secondary data analysis to assess the demographic characteristics (such as age, sex, insurance type, and county of residence) of chronic pain patients in Maine. Chronic pain patients were identified based on the presence of pre-identified chronic pain-associated ICD-9 code(s) and opioid prescription information. Potential associations between the prevalence of chronic pain and a number of socioeconomic factors were determined by comparisons to Maine Census data.ResultsMore women in the state were identified as having chronic pain across all counties and all age groups (> 10 years old). Surprisingly, the majority of chronic pain patients were identified based on the diagnostic code criteria and not the opioid prescription criteria. A greater utilization of public health insurance was seen within the chronic pain patients. At the county level, although neither education level nor income were associated with the prevalence of chronic pain, these factors significantly correlated with the usage of public health insurance.ConclusionsFurther detailed characterization of the chronic pain patient population in the state of Maine, using multiple data sources, can help design population-targeted strategies to prevent and manage chronic pain.Electronic supplementary materialThe online version of this article (10.1186/s12889-018-5673-5) contains supplementary material, which is available to authorized users.
The majority (76%) of persons arrested for prescription drug trafficking did not have PMP records and did not directly obtain the diverted medication from a licensed pharmacy. Traditional red flags, like cash payment and using multiple prescribers or pharmacies, were uncommon. Therefore, arrest records for diversion and PMPs are distinct and complementary tools for identifying individuals at risk for substance misuse.
Background: This study evaluates complete state data from controlled substance prescribing trends in the prescription monitoring program (PMP) database and their association with the risk of prescription drug overdose death. Summary: Maine PMP records of individuals who died of prescription overdose deaths between 2006 and 2010 were selected (n = 690). For each subject, an age, gender, and residence matched cohort of PMP users in a 50: 1 ratio was identified (n = 34,500). Key Messages: Prescription opioids contributed to 480 of 690 prescription deaths, many co-ingestions were noted, and OR for overdose death increased with milligram of morphine equivalent (MME)/day >100. The majority who were prescribed MME >100 per day received a prescription within 90 days of overdose matching the toxicology cause of death. Conclusions: Medication profiles available through state PMP can identify dosing of prescriptions associated with drug overdose death.
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