Margaret K Pasquale1, Richard L Sheer2, Jack Mardekian3, Elizabeth T Masters4, Nick C Patel1, Amy R Hurwitch5, Jennifer J Weber6, Anamaria Jorga7, Carl L Roland8. 1. Research Manager, Comprehensive Health Insights, Inc., Louisville, Kentucky. 2. Principal Researcher, Comprehensive Health Insights, Inc., Louisville, Kentucky. 3. Senior Director, Statistics, Pfizer Inc., New York, New York. 4. Director, Outcomes & Evidence, Pfizer Inc., New York, New York. 5. Program Manager, Adverse Events|Pharmacy Patient Safety Programs Humana Pharmacy Solutions, Louisville, Kentucky. 6. Managing Pharmacist, Pharmacy Patient Safety Programs Humana Pharmacy Solutions, Louisville, Kentucky. 7. Medical Director, US Medical Affairs, Pfizer Inc., New York, New York. 8. Senior Director, Global Innovative Pharma Business Clinical Sciences and Outcomes and Evidence Pfizer Inc., Durham, North Carolina.
Abstract
OBJECTIVE: To evaluate the impact of a pilot intervention for physicians to support their treatment of patients at risk for opioid abuse. SETTING, DESIGN AND PATIENTS, PARTICIPANTS: Patients at risk for opioid abuse enrolled in Medicare plans were identified from July 1, 2012 to April 30, 2014 (N = 2,391), based on a published predictive model, and linked to 4,353 opioid-prescribing physicians. Patient-physician clusters were randomly assigned to one of four interventions using factorial design. INTERVENTIONS: Physicians received one of the following: Arm 1, patient information; Arm 2, links to educational materials for diagnosis and management of pain; Arm 3, both patient information and links to educational materials; or Arm 4, no communication. MAIN OUTCOME MEASURES: Difference-in-difference analyses compared opioid and pain prescriptions, chronic high-dose opioid use, uncoordinated opioid use, and opioid-related emergency department (ED) visits. Logistic regression compared diagnosis of opioid abuse between cases and controls postindex. RESULTS: Mailings had no significant impact on numbers of opioid or pain medications filled, chronic high-dose opioid use, uncoordinated opioid use, ED visits, or rate of diagnosed opioid abuse. Relative to Arm 4, odds ratios (95% CI) for diagnosed opioid abuse were Arm 1, 0.95(0.63-1.42); Arm 2, 0.83(0.55-1.27); Arm 3, 0.72(0.46-1.13). While 84.7 percent had ≥1 psychiatric diagnoses during preindex (p = 0.89 between arms), only 9.5 percent had ≥1 visit with mental health specialists (p = 0.53 between arms). CONCLUSIONS: Although this intervention did not affect pain-related outcomes, future interventions involving care coordination across primary care and mental health may impact opioid abuse and improve quality of life of patients with pain.
RCT Entities:
OBJECTIVE: To evaluate the impact of a pilot intervention for physicians to support their treatment of patients at risk for opioid abuse. SETTING, DESIGN AND PATIENTS, PARTICIPANTS: Patients at risk for opioid abuse enrolled in Medicare plans were identified from July 1, 2012 to April 30, 2014 (N = 2,391), based on a published predictive model, and linked to 4,353 opioid-prescribing physicians. Patient-physician clusters were randomly assigned to one of four interventions using factorial design. INTERVENTIONS: Physicians received one of the following: Arm 1, patient information; Arm 2, links to educational materials for diagnosis and management of pain; Arm 3, both patient information and links to educational materials; or Arm 4, no communication. MAIN OUTCOME MEASURES: Difference-in-difference analyses compared opioid and pain prescriptions, chronic high-dose opioid use, uncoordinated opioid use, and opioid-related emergency department (ED) visits. Logistic regression compared diagnosis of opioid abuse between cases and controls postindex. RESULTS: Mailings had no significant impact on numbers of opioid or pain medications filled, chronic high-dose opioid use, uncoordinated opioid use, ED visits, or rate of diagnosed opioid abuse. Relative to Arm 4, odds ratios (95% CI) for diagnosed opioid abuse were Arm 1, 0.95(0.63-1.42); Arm 2, 0.83(0.55-1.27); Arm 3, 0.72(0.46-1.13). While 84.7 percent had ≥1 psychiatric diagnoses during preindex (p = 0.89 between arms), only 9.5 percent had ≥1 visit with mental health specialists (p = 0.53 between arms). CONCLUSIONS: Although this intervention did not affect pain-related outcomes, future interventions involving care coordination across primary care and mental health may impact opioid abuse and improve quality of life of patients with pain.