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Am J Addict ; 30(4): 376-381, 2021 07.
Article in English | MEDLINE | ID: mdl-33760317

ABSTRACT

BACKGROUND AND OBJECTIVES: Prescription Drug Monitoring Programs (PDMP) detect high-risk prescribing and patient behaviors. This study describes the characteristics associated with documented PDMP access when prescribing opioids. METHODS: Retrospective chart review of 695 opioid prescriptions written from inpatient and outpatient medical and psychiatric settings. Data were abstracted and analyzed to identify characteristics associated with documented PDMP access. RESULTS: One-third of the charts had PDMP access documented within the week of opioid prescription; 12% showed PDMP consultation on the same day. Services varied greatly from 10.5% (inpatient medicine) to 57% (inpatient psychiatry) with regard to same-day PDMP access (P < .0001). Patient characteristics associated with PDMP access include having acute pain, current mental health treatment, and current and past substance use disorders (all P < .05). Logistic regression modeling identified three variables associated with the odds of PDMP access (c-statistic = 0.66): if the prescription originated from the inpatient medicine unit (odds ratio [OR] = 0.47, 95% confidence interval [CI] = 0.32, 0.68), or if the patient received a prescription for an opioid in the past 30 days (OR = 0.30, 95% CI = 0.10, 0.90) or had a urine toxicology screen in the past year (OR = 2.00, 95% CI = 1.40, 2.90). DISCUSSION AND CONCLUSIONS: Utilization of the PDMP varied by specialty and setting. SCIENTIFIC SIGNIFICANCE: This study is among the first to compare rates of PDMP access in a large sample by specialty and practice setting in a healthcare system with a policy requiring its access and appropriate documentation. With less than one-third adherence to the policy, additional steps to increase consistent PDMP access are warranted. (Am J Addict 2021;00:00-00).


Subject(s)
Analgesics, Opioid/therapeutic use , Prescription Drug Monitoring Programs , Prescription Drugs/therapeutic use , Adult , Aged , Female , Humans , Male , Middle Aged , Program Evaluation , Retrospective Studies
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