Evidence map›Paper›PMID 35977161›Full record

ArticleJAMA health forum2021

Assessment of Postoperative Opioid Prescriptions Before and After Implementation of a Mandatory Prescription Drug Monitoring Program.

Rivfka Shenoy, Zachary Wagner, Allison Kirkegaard, Robert J Romanelli, Satish Mudiganti, Louis Mariano, Meghan Martinez, Kyle Zanocco, Katherine E Watkins

Open access · goldAbstract read
In one paragraph

Article in JAMA health forum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Rivfka ShenoyDavid Geffen School of Medicine, Department of Surgery, University of California, Los Angeles, Los Angeles.
Zachary WagnerRAND Corporation, Santa Monica, California.
Allison KirkegaardRAND Corporation, Santa Monica, California.
Robert J RomanelliCenter for Health Systems Research, Division of Research, Development and Dissemination, Sutter Health, Walnut Creek, California.
Satish MudigantiCenter for Health Systems Research, Division of Research, Development and Dissemination, Sutter Health, Walnut Creek, California.
Louis MarianoRAND Corporation, Santa Monica, California.
Meghan MartinezCenter for Health Systems Research, Palo Alto Medical Foundation Research Institute, Sutter Health, Palo Alto, California.
Kyle ZanoccoDavid Geffen School of Medicine, Department of Surgery, University of California, Los Angeles, Los Angeles.
Katherine E WatkinsRAND Corporation, Santa Monica, California.
RAND Corporation · USSutter Health · USUniversity of California, Los Angeles · USVA Greater Los Angeles Healthcare System · US

Funding

REDUCING INAPPROPRIATE PRESCRIPTION OPIOID PRESCRIBING AT HOSPITAL DISCHARGER01DA046226 · NIDA · RAND CORPORATION · PI WATKINS, KATHERINE E · 2019 to 2023
$3.0M
NIDA NIH HHS R01 DA046226
6 · The paper itself

Abstract

Importance: Legislation mandating consultation with a prescription drug monitoring program (PDMP) was implemented in California on October 2, 2018. This mandate requires PDMP consultation before prescribing a controlled substance and integrates electronic health record (EHR)-based alerts; prescribers are exempt from the mandate if they prescribe no more than a 5-day postoperative opioid supply. Although previous studies have examined the consequences of mandated PDMP consultation, few have specifically analyzed changes in postoperative opioid prescribing after mandate implementation. Objective: To examine whether the implementation of mandatory PDMP consultation with concurrent EHR-based alerts was associated with changes in postoperative opioid quantities prescribed at discharge. Design Setting and Participants: This cross-sectional study performed an interrupted time series analysis of opioid prescribing patterns within a large health care system (Sutter Health) in northern California between January 1, 2015, and February 1, 2020. A total of 93 760 adult patients who received an opioid prescription at discharge after undergoing general, obstetric and gynecologic (obstetric/gynecologic), or orthopedic surgery were included. Exposures: Mandatory PDMP consultation before opioid prescribing, with concurrent integration of an EHR alert. Prescribers are exempt from this mandate if prescribing no more than a 5-day opioid supply postoperatively. Main Outcomes and Measures: The primary outcome was the total quantity of opioid medications (morphine milligram equivalents [MMEs] and number of opioid tablets) prescribed at discharge before and after implementation of the PDMP mandate, with separate analyses by surgical specialty (general, obstetric/gynecologic, and orthopedic) and most common surgical procedure within each specialty (laparoscopic cholecystectomy, cesarean delivery, and knee arthroscopy). The secondary outcome was the proportion of prescriptions with a duration of longer than 5 days. Results: Of 93 760 patients (mean [SD] age, 46.7 [17.6] years; 67.9% female) who received an opioid prescription at discharge, 65 911 received prescriptions before PDMP mandate implementation, and 27 849 received prescriptions after implementation. Most patients received general or obstetric/gynecologic surgery (48.6% and 30.1%, respectively), did not have diabetes (90.3%), and had never smoked (66.0%). Before the PDMP mandate was implemented, a decreasing pattern in opioid prescribing quantities was already occurring. During the quarter of implementation, total MMEs prescribed at discharge further decreased for all 3 surgical specialties (eg, medians for general surgery: β = -10.00 [95% CI, -19.52 to -0.48]; obstetric/gynecologic surgery: β = -18.65 [95% CI, -22.00 to -15.30]; and orthopedic surgery: β = -30.59 [95% CI, -40.19 to -21.00]) after adjusting for the preimplementation prescribing pattern. The total number of tablets prescribed also decreased across specialties (eg, medians for general surgery: β = -3.02 [95% CI, -3.47 to -2.57]; obstetric/gynecologic surgery: β = -4.86 [95% CI, -5.38 to -4.34]; and orthopedic surgery: β = -4.06 [95% CI, -5.07 to -3.04]) compared with the quarters before implementation. These reductions were not consistent across the most common surgical procedures. For cesarean delivery, the median number of tablets prescribed decreased during the quarter of implementation (β = -10.00; 95% CI, -10.10 to -9.90), but median MMEs did not (β = 0; 95% CI, -9.97 to 9.97), whereas decreases were observed in both median MMEs and number of tablets prescribed (MMEs: β = -33.33 [95% CI, -38.48 to -28.19]; tablets: β = -10.00 [95% CI, -11.17 to -8.82]) for laparoscopic cholecystectomy. For knee arthroscopy, no decreases were found in either median MMEs or number of tablets prescribed (MMEs: β = 10.00 [95% CI, -22.33 to 42.33; tablets: β = 0.83; 95% CI, -3.39 to 5.05). The proportion of prescriptions written for longer than 5 days also decreased significantly during the quarter of implementation across all 3 surgical specialties. Conclusions and Relevance: In this cross-sectional study, the implementation of mandatory PDMP consultation with a concurrent EHR-based alert was associated with an immediate decrease in opioid prescribing across the 3 surgical specialties. These findings might be explained by prescribers' attempts to meet the mandate exemption and bypass PDMP consultation rather than the PDMP consultation itself. Although policies coupled with EHR alerts may be associated with changes in postoperative opioid prescribing behavior, they need to be well designed to optimize evidence-based opioid prescribing.

Indexed as

Prescription Drug Monitoring ProgramsAdultAnalgesics, OpioidCross-Sectional StudiesDrug PrescriptionsFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'Analgesics, Opioid

Identifiers

PMID35977161
PMCPMC8725834
OpenAlexW3203526310

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.