Mallama CA, Greene C, Alexandridis AA, McAninch J, Dal Pan G, Meyer T. Patient-reported opioid analgesic use after discharge from surgical procedures: a systematic review.
PAIN MEDICINE 2021;
23:29-44. [PMID:
34347101 DOI:
10.1093/pm/pnab244]
[Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE
This systematic review synthesizes evidence on patient-reported outpatient opioid analgesic use post-surgery.
METHODS
We searched Pubmed (February 2019), Web of Science and Embase (June 2019) for U.S. studies describing patient-reported outpatient opioid analgesic use. Two reviewers extracted data on opioid analgesic use, standardized use, and performed independent quality appraisals based on the Cochrane Risk of Bias Tool and an adapted Newcastle-Ottawa scale.
RESULTS
Ninety-six studies met eligibility criteria; 56 had sufficient information to standardize use in oxycodone 5 mg tablets. Patient-reported opioid analgesic use varied widely by procedure type; knee and hip arthroplasty had the highest postoperative opioid use, and use after many procedures was reported as < 5 tablets. In studies that examined excess tablets, 25%-98% of the total tablets prescribed were reported to be excess, with most studies reporting that 50%-70% of tablets went unused. Factors commonly associated with higher opioid analgesic use included preoperative opioid analgesic use, higher inpatient opioid analgesic use, higher postoperative pain scores, and chronic medical conditions, among others. Estimates also varied across studies due to heterogeneity in study design, including length of follow-up and inclusion/exclusion criteria.
CONCLUSION
Self-reported post-surgery outpatient opioid analgesic use varies widely both across procedures and within a given procedure type. Contributors to within-procedure variation included patient characteristics, prior opioid use, intraoperative and perioperative factors, and differences in timing of opioid use data collection. We provide recommendations to help minimize variation caused by study design factors and maximize interpretability of forthcoming studies for use in clinical guidelines and decision-making.
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