Microsoft Word - Final for LuLu Vol. 14 Issue 1 Final Indiana Health Law Review A. INSPECT – Indiana’s PDMP A. Trends in Opioid Dispensations B. Doctor-Shopping Factors Associated with INSPECT Use Frequency of INSPECT Use Change in Prescribing Practices in the Past Twelve Months http://doi.org/10.18060/3911.0031 Vital Signs: Overdoses of Prescription Opioid Pain Relievers—United States, 1999-2008 Vital Signs: United States 1999-2008 see also Prescription Drug Abuse: Insight Into the Epidemic Who Uses a Prescription Drug Monitoring Program and How? Insights from a Statewide Survey of Oregon Clinicians https://doi.org/10.1038/clpt.2010.154 https://doi.org/10.1016/j.jpain.2014.04.003 Id. Abuse of Prescription Drugs and the Risk of Addiction Economic Costs of Nonmedical Use of Prescription Opioids Prescription Opioid Overdose Data See Major Increases in Opioid Analgesic Abuse in the United States: Concerns and Strategies see also Prescribing of Controlled Medications to Adolescents and Young Adults in the United see also Opioid Prescriptions Soar: Increase in legitimate Use As Well As Abuse see also Therapeutic Opioids: A Ten-Year Perspective on the Complexities and Complications of the Escalating Use, Abuse, and Nonmedical Use of Opioids see also The Prescription Drug Epidemic in the United States: The Perfect Storm Opioid Painkiller Prescribing: Where You Live Makes a Difference Vital Signs: United States 1999-2008 supra Opioids see generally (Melissa H. Hargraves et al. eds., (2015). https://doi.org/10.1016/j.drugalcdep.2005.10.020 https://doi.org/10.1097/ajp.0b013e3181ff04ca https://doi.org/10.1016/j.drugalcdep.2005.05.009 https://doi.org/10.1542/peds.2010-0791 https://doi.org/10.1001/jama.297.3.249 https://doi.org/10.1111/j.1465-3362.2011.00291.x Estimating the Prevalence of Opioid Diversion by “Doctor Shoppers” in the United States, See, e.g Prevalence and Determinants of Pharmacy Shopping Behaviour , A History of Being Prescribed Controlled Substances and Risk of Drug Overdose Death Doctor and Pharmacy Shopping for Controlled Substances Doctor and Pharmacy Shopping for Controlled Substances, supra Prescription Drug Monitoring Programs Id.; see also PDMP TTAC, FAQS, PDMP FAQS https://doi.org/10.1371/journal.pone.0069241 https://doi.org/10.1111/j.1365-2710.2008.00878.x https://doi.org/10.1111/j.1526-4637.2011.01260.x https://doi.org/10.1097/mlr.0b013e31824ebd81 A. INSPECT – Indiana’s PDMP Central Repository for Controlled Substances Data About INSPECT About INSPECT Id. Id. Id. FAQS About INSPECT supra Id. Id. A. Trends in Opioid Dispensations INSPECT About INSPECT supra See See also supra supra Indiana INSPECT Data Set—2014 Figure 1. Trends in Opioid Dispensations in Indiana, 2010-2015 Table 1. Frequency of Most Commonly Dispensed Opioids 35 Id Id Table 2. Opioid Dispensations by Demographic Characteristics B. Doctor-Shopping Id Id. Indiana INSPECT Data Set—2014 Table 3. Comparisons between Individuals who were and were not Doctor-Shoppers in 2014 Id. Id. Id. Id. Id. Id. Id. Id. Id. Table 4. Composition of INSPECT Survey Sample , Id. Id. Id. Id. Id. Id. Table 5. Knowledge of INSPECT Id. Id. Id. Id. less Table 6. Use of INSPECT by Professionals Who Knew of INSPECT Id. Id. Id. See id. Table 7. Description of Outcome and Predictor Variables Used in Analyses A. Factors Associated with INSPECT Use Chi Sq. = 587.222, p<.001; Nagelkerke R Sq. = .303 Table 8. Binary Logistic Regression Predicting Any Use of INSPECT B. Frequency of INSPECT Use Id. Chi Sq. = 199.139, p<.001; Nagelkerke R Sq. = .181 Table 9. Predictors of Frequency of INSPECT Use C. Change in Prescribing Practices in the Past Twelve Months Chi Sq. = 179.431, p <.001; Nagelkerke R Sq = .141 Table 10. Predictors of Change in Prescribing Behavior Id. Id. Prescription Drug Monitoring Programs, A Response to Doctor-Shopping: Purpose, Effectiveness, and Directions for Future Research https://doi.org/10.3109/01612840.2011.654046