• Mortality Associated With Opioid Overdose: A Review of Clinical Characteristics and Health Services Received in the Year Prior to Death

      Rose, Christian; Shahanaghi, Abtin; Romero-Gonzalez, Mauricio; Yarzebski, Jorge; Andre, Michael; DiGirolamo, Gregory J.; Brown, Alan P.; Gonzalez, Gerardo (2019-02-01)
      OBJECTIVE:: To assess missed opportunities for reducing fatal opioid overdoses, characteristics of decedents by opioid overdose with and without problematic opioid use who received health care services within one year of death were examined. METHODS:: Of 157 decedents in the Worcester, Massachusetts, area between 2008 and 2012, 112 had contact with the health care system. Electronic medical records were reviewed for clinical characteristics, health service use, universal precautions, and substance use disorder management. Problematic opioid use was defined as individuals having documented opioid use disorders or aberrant drug-related behavior. Data were analyzed with chi-square tests with adjusted residual for categorical variables and t tests for continuous variables. RESULTS:: Decedents were predominantly Caucasian males with a mean+/-SD age of 41.0+/-11.7. Problematic opioid use by definition meant users (N=53) had opioid use disorder as a principal diagnosis and were likely to have a comorbid substance use disorder. Decedents with nonproblematic opioid use had diagnoses of chronic pain and mental illness. They were more likely to have been seen last in surgical and subspecialty settings (29% versus 11%). The proportion with an opioid prescription was higher among those with problematic use (72% versus 37%) who also had a higher total daily morphine equivalent, compared with those with nonproblematic use (165.4+/-282.7 versus 55.6+/-117.7 mg per day). CONCLUSIONS:: Persons with problematic opioid use are a recognizable group with a high risk of death by opioid overdose whose therapeutic management needs improvement to reduce fatal outcomes. Different strategies must be developed for identifying and treating nonproblematic opioid use to reduce risk of death.
    • Opioid overdose deaths and potentially inappropriate opioid prescribing practices (PIP): A spatial epidemiological study

      Stopka, Thomas J.; Amaravadi, Harsha; Kaplan, Anna R.; Hoh, Rachel; Bernson, Dana; Chui, Kenneth K.H.; Land, Thomas; Walley, Alexander Y.; LaRochelle, Marc R.; Rose, Adam J. (2019-06-01)
      INTRODUCTION: Opioid overdose deaths quintupled in Massachusetts between 2000 and 2016. Potentially inappropriate opioid prescribing practices (PIP) are associated with increases in overdoses. The purpose of this study was to conduct spatial epidemiological analyses of novel comprehensively linked data to identify overdose and PIP hotspots. METHODS: Sixteen administrative datasets, including prescription monitoring, medical claims, vital statistics, and medical examiner data, covering >98% of Massachusetts residents between 2011-2015, were linked in 2017 to better investigate the opioid epidemic. PIP was defined by six measures: > /=100 morphine milligram equivalents (MMEs), co-prescription of benzodiazepines and opioids, cash purchases of opioid prescriptions, opioid prescriptions without a recorded pain diagnosis, and opioid prescriptions through multiple prescribers or pharmacies. Using spatial autocorrelation and cluster analyses, overdose and PIP hotspots were identified among 538 ZIP codes. RESULTS: More than half of the adult population (n = 3,143,817, ages 18 and older) were prescribed opioids. Nearly all ZIP codes showed increasing rates of overdose over time. Overdose clusters were identified in Worcester, Northampton, Lee/Tyringham, Wareham/Bourne, Lynn, and Revere/Chelsea (Getis-Ord Gi*; p < 0.05). Large PIP clusters for > /=100 MMEs and prescription without pain diagnosis were identified in Western Massachusetts; and smaller clusters for multiple prescribers in Nantucket, Berkshire, and Hampden Counties (p < 0.05). Co-prescriptions and cash payment clusters were localized and nearly identical (p < 0.05). Overlap in PIP and overdose clusters was identified in Cape Cod and Berkshire County. However, we also found contradictory patterns in overdose and PIP hotspots. CONCLUSIONS: Overdose and PIP hotspots were identified, as well as regions where the two overlapped, and where they diverged. Results indicate that PIP clustering alone does not explain overdose clustering patterns. Our findings can inform public health policy decisions at the local level, which include a focus on PIP and misuse of heroin and fentanyl that aim to curb opioid overdoses.