Evidence map›Paper›PMID 40200214›Full record

Trial reportBMC health services research2025

A qualitative analysis on the implementation of a nudge intervention to reduce post-surgical opioid prescribing.

Meghan C Martinez, Kathryn Bouskill, Xiaowei Sherry Yan, Allison Kirkegaard, Jason N Doctor, Katherine E Watkins

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05070338 (Reducing Inappropriate Prescription Opioid Prescribing at Hospital Discharge), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

NCT05070338 nacompletednot on this map

Reducing Inappropriate Prescription Opioid Prescribing at Hospital Discharge

TypeinterventionalSponsorRANDRan2021 to 2023Enrolled640ConditionsOpioid PrescribingArmsGuideline-Based (Injunctive Norm) Nudges, Peer-Based (Social Norm) Nudges
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Meghan C MartinezPalo Alto Medical Foundation Research Institute & Center for Health Systems Research, Sutter Health, 795 El Camino Real, Ames Building, Palo Alto, CA, 94301, USA. Meghan.martinez@sutterhealth.org.
Kathryn BouskillRAND Corporation, Santa Monica, CA, USA.
Xiaowei Sherry YanCenter for Health Systems Research, Sutter Health, Walnut Creek, CA, USA.
Allison KirkegaardRAND Corporation, Santa Monica, CA, USA.
Jason N DoctorSol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA.
Katherine E WatkinsRAND Corporation, Santa Monica, CA, USA.

Funding

REDUCING INAPPROPRIATE PRESCRIPTION OPIOID PRESCRIBING AT HOSPITAL DISCHARGER01DA046226 · NIDA · RAND CORPORATION · PI WATKINS, KATHERINE E · 2019 to 2023
$3.0M
National Institute of Drug Abuse R01DA046226NIDA NIH HHS R01 DA046226
6 · The paper itself

Abstract

backgroundReducing above-guideline opioid prescribing is one approach to reducing the availability of unused opioids. We describe contextual factors affecting the implementation and outcomes of a successful email 'nudge' aimed at reducing post-operative opioid prescribing, with the goal of informing future implementation and dissemination efforts.

methodsBetween October 2021-September 2022, we sent email nudges to general, orthopedic, and obstetrics/gynecology surgeons at 19 hospitals in a large integrated healthcare system in California whose patients had post-operative opioid prescriptions that exceeded guideline-recommended quantities. We then interviewed 36 surgeons between September 2022-January 2023 and coded and themed transcripts and implementation process documents from the study. We used the Consolidated Framework for Implementation Research (CFIR) to understand the contextual factors impacting nudge design, implementation, and effectiveness.

resultsFactors across all five CFIR domains were found to be important in understanding the acceptability, feasibility, and sustainability of the intervention. In the Innovation Domain, key factors included the method of nudge delivery, the validity of comparators, and the design and layout of the nudge itself. The interaction between the nudges and existing state regulations (Outer Setting Domain) caused confusion, while the size, structure, and centralization of hospitals (Inner Setting Domain) influenced communication and leadership engagement, underscoring the need for local champions (Individuals Domain). In the Implementation Process Domain, workflow considerations emerged, e.g., the fact that the surgeon performing the procedure was at times not the discharge prescriber, the need for pre-intervention education, and the importance of ensuring surgeons have a clear process to access additional information when questions arise about nudge content.

conclusionsContextual factors related to how the nudges were implemented influenced their acceptability among surgeons. Future dissemination efforts of similar interventions to curb opioid overprescribing should take these design considerations into account, including how to account for variations in prescribing workflows, the amount of information provided in the nudge, how information is construed, and how the rest of the hospital system can adjust to encourage guideline-supported opioid prescribing at the point of post-surgical discharge. These types of considerations may also apply to other clinician-directed, nudge-based interventions beyond the subject of opioid prescribing.

trial registrationClinicaltrials.gov, Identifier: NCT05070338, Registration Date: October 19, 2021.

Indexed as

Analgesics, OpioidInappropriate PrescribingPostoperative PainPractice Patterns, Physicians'CaliforniaHumansQualitative ResearchAnalgesics, OpioidBehavioral interventionsCFIRImplementation scienceNudgesOpioidsSurgeons

Identifiers

PMID40200214
PMCPMC11977946

What OpenQuestion holds

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Registered trials

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.