Increasing Implementation of Post-Operative Opioid Prescribing Guidelines
Learning Health System Clinician Feedback Using Patient-reported Data to Increase Implementation of Post-operative Opioid Prescribing Guidelines: a Stepped-wedge Cluster Randomized Trial
1 other identifier
interventional
26,562
1 country
1
Brief Summary
The objective of this research study is to evaluate the effect of a quality improvement initiative carried out by a health system opioid stewardship task force aiming to increase clinician post-operative prescribing adherence with procedure specific guidelines that were developed using patient reported data. The feedback compares the clinician's average number of opioid pills prescribed after a given procedure to other clinicians in the health system and to the health system guideline recommended amount based on patient reported data on opioid pills taken for that procedure. The feedback also provides historical data on mean patient reported number opioid pills taken following a given procedure and on patients' ability to manage pain among those who received guideline adherent prescriptions compared with patients who received greater than the guideline recommended amount.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable surgery
Started Jun 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 17, 2022
CompletedFirst Posted
Study publicly available on registry
May 3, 2022
CompletedStudy Start
First participant enrolled
June 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 5, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
November 5, 2023
CompletedFebruary 28, 2024
February 1, 2024
11 months
March 17, 2022
February 26, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Guideline Adherent Opioid Prescriptions
Proportion of eligible surgical cases who received a guideline-adherent opioid prescription
ten months
Secondary Outcomes (4)
Pills Prescribed
The duration of the study; two years
Pills Taken
28 days
Perceived ability to manage pain
28 days
Number of Prescription Refills
30 days
Other Outcomes (4)
Health care utilization - Office Visits
30 days
Health care utilization - Telephone Calls
30 days
Health care utilization - Emergency Department Visits
30 days
- +1 more other outcomes
Study Arms (2)
Standard Feedback
NO INTERVENTIONNo feedback about opioid prescribing behaviors.
Opioid Prescribing Report Cards
EXPERIMENTALProcedure and prescribing providers will be randomized to when they will begin receiving individual reports on their opioid prescribing.
Interventions
Initial comparison: Clinicians will receive an initial peer comparison feedback report by email in which their post-operative opioid prescribing for patients undergoing their top 3 procedures is compared to the guideline recommended doses and the mean prescribing doses by other University of Pennsylvania Health System (UPHS) prescribers for each of those 3 procedures since the start of the baseline period. Furthermore, in an attached report, for each of the 3 procedures, the mean patient reported ability to manage pain one week at home after the procedure will be displayed for those who received guideline compliant dosages of opioids relative to those who received higher than guideline recommended amounts. Monthly comparison: On a monthly basis clinicians will get a report providing similar peer comparison feedback as above but with a monthly trend line of their performance since the start of the intervention.
Eligibility Criteria
You may qualify if:
- All surgical prescribers (surgeons, advanced practice providers or resident physicians) who have written at least 5 opioid prescriptions per month for patients undergoing an eligible procedure during the baseline period or attending surgeons who performed an eligible procedure during the baseline period.
- Procedures are eligible to be included if there are a minimum of 10 unique cases during any given month and post-operative opioids are prescribed. Data on patient reported opioid use, pain scores, and ability to manage pain is currently being collected by Penn Medicine's post-operative text messaging platform. As of February 15, 2022, there were 30 procedures defined by Current Procedural Terminology (CPT) groupings that meet these criteria.
- In the research study analysis, patients will be included in the primary sample if they (1) undergo an eligible surgical procedure by an eligible attending surgeon, and (2) the proportion of guideline compliant prescriptions written during the baseline period for that procedure was less than 90%.
You may not qualify if:
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Pennsylvania
Philadelphia, Pennsylvania, 19104, United States
Related Publications (7)
Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007 Feb;28(2):182-91. doi: 10.1016/j.cct.2006.05.007. Epub 2006 Jul 7.
PMID: 16829207BACKGROUNDHemming K, Taljaard M, Forbes A. Analysis of cluster randomised stepped wedge trials with repeated cross-sectional samples. Trials. 2017 Mar 4;18(1):101. doi: 10.1186/s13063-017-1833-7.
PMID: 28259174BACKGROUNDWhite H. A Heteroskedasticity-Consistent Covariance-Matrix Estimator and a Direct Test for Heteroskedasticity. Econometrica 1980;48:817-38.
BACKGROUNDZeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986 Mar;42(1):121-30.
PMID: 3719049BACKGROUNDStarks MA, Sanders GD, Coeytaux RR, Riley IL, Jackson LR 2nd, Brooks AM, Thomas KL, Choudhury KR, Califf RM, Hernandez AF. Assessing heterogeneity of treatment effect analyses in health-related cluster randomized trials: A systematic review. PLoS One. 2019 Aug 12;14(8):e0219894. doi: 10.1371/journal.pone.0219894. eCollection 2019.
PMID: 31404063BACKGROUNDHogan JW, Lancaster T. Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies. Stat Methods Med Res. 2004 Feb;13(1):17-48. doi: 10.1191/0962280204sm351ra.
PMID: 14746439BACKGROUNDAgarwal AK, Ebert JP, Xiong R, Ali ZS, Lee D, Shofer F, Gitelman Y, Do D, Spencer EA, Grenader EM, Li F, Harhay MO, Delgado MK. Peer and Patient Feedback to Increase Adherence to Postoperative Opioid Prescribing Guidelines: A Stepped-Wedge Cluster Randomized Clinical Trial. JAMA Surg. 2025 Aug 1;160(8):866-874. doi: 10.1001/jamasurg.2025.1672.
PMID: 40498501DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
M. Kit Delgado, MD, MS
University of Pennsylvania
- PRINCIPAL INVESTIGATOR
Anish Agarwal, MD, MPH
University of Pennsylvania
- PRINCIPAL INVESTIGATOR
Zarina Ali, MD
University of Pennsylvania
- PRINCIPAL INVESTIGATOR
Dan Lee, MD
University of Pennsylvania
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- The feedback intervention will be rolled out across all participating Penn Medicine surgical departments and divisions currently using Penn Medicine's post-operative text-messaging learning health system platform. Timing of intervention roll-out within each department and division will be randomly assigned to permit evaluation of the effect of the intervention.
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor, Emergency Medicine and Epidemiology
Study Record Dates
First Submitted
March 17, 2022
First Posted
May 3, 2022
Study Start
June 1, 2022
Primary Completion
May 5, 2023
Study Completion
November 5, 2023
Last Updated
February 28, 2024
Record last verified: 2024-02
Data Sharing
- IPD Sharing
- Will not share
Individual participant data will not be shared.