Trial reportJAMA network open2021
Effect of Changing Electronic Health Record Opioid Analgesic Dispense Quantity Defaults on the Quantity Prescribed: A Cluster Randomized Clinical Trial.
Trial report in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03003832 (A Cluster-randomized Trial of Modifying Electronic Health Record Defaults to Reduce the Prescribed Quantity of Opioid Analgesics in Primary Care and Emergency Department Settings), which is not on this map. Cited by 13 papers.
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.
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.
A Cluster-randomized Trial of Modifying Electronic Health Record Defaults to Reduce the Prescribed Quantity of Opioid Analgesics in Primary Care and Emergency Department Settings
Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Reducing Opioid Analgesic Prescribing in Dentistry Through Prescribing Defaults: A Cluster-Randomized Controlled Trial.Pain medicine (Malden, Mass.) · 2023Trial
- Association Between Default Number of Opioid Doses in Electronic Health Record Systems and Opioid Prescribing to Adolescents and Young Adults Undergoing Tonsillectomy.JAMA network open · 2022Trial
- Article
- Associations between pharmaceutical industry interactions with physicians and chronic nonmalignant pain management prescribing practices: a systematic review.Cost effectiveness and resource allocation : C/E · 2026Review
- Article
- Opioid prescribing trends and pain scores among adult patients with cancer in a large health system.Cancer · 2025Article
- Appropriateness of Prescribing Transmucosal Immediate-Release Fentanyl in the Emergency Room, During Hospitalization, and at Discharge: A Retrospective Study.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Nudging strategies to influence prescribers' behavior toward reducing opioid prescriptions: a systematic scoping review.The Journal of international medical research · 2024Article
- Narcotic prescribing practices in shoulder surgery before and after the institution of narcotic e-prescribing.JSES reviews, reports, and techniques · 2024Article
- Article
- What works for and what hinders deimplementation of low-value care in emergency medicine practice? A scoping review.BMJ open · 2023Article
- Surgeons' Perspectives on Changing the Default Number of Doses for Opioid Prescriptions in Electronic Health Record Systems.JAMA network open · 2023Article
- Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions.Journal of the American Medical Informatics Association : JAMIA · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Importance: Interventions to improve judicious prescribing of opioid analgesics for acute pain are needed owing to the risks of diversion, misuse, and overdose. Objective: To assess the effect of modifying opioid analgesic prescribing defaults in the electronic health record (EHR) on prescribing and health service use. Design, Setting, and Participants: A cluster randomized clinical trial with 2 parallel arms was conducted between June 13, 2016, and June 13, 2018, in a large urban health care system comprising 32 primary care and 4 emergency department (ED) sites in the Bronx, New York. Data were analyzed using a difference-in-differences method from 6 months before implementation through 18 months after implementation. Data were analyzed from January 2019 to February 2020. Interventions: A default dispense quantity for new opioid analgesic prescriptions of 10 tablets (intervention) vs no change (control) in the EHR. Main Outcomes and Measures: The primary outcome was the quantity of opioid analgesics prescribed with the new default prescription. Secondary outcomes were opioid analgesic reorders and health service use within 30 days after the new prescription. Intention-to-treat analysis was conducted. Results: Overall, 21 331 patients received a new opioid analgesic prescription from 490 prescribers. Comparing the intervention and control arms, site, prescriber, and patient characteristics were similar. For the new prescription, compared with the control arm, patients in the intervention arm had significantly more prescriptions for 10 tablets or fewer (7.6 percentage points; 95% CI, 6.1-9.2 percentage points), a lower number of tablets prescribed (-2.1 tablets; 95% CI, -3.3 to -0.9 tablets), and lower morphine milligram equivalents (MME) prescribed (-14.6 MME; 95% CI, -22.6 to -6.6 MME). Within 30 days after the new prescription, significant differences remained in the number of tablets prescribed (-2.7 tablets; 95% CI, -4.8 to -0.6 tablets), but not MME (-15.8 MME; 95% CI, -33.8 to 2.2 MME). Within this 30-day period, there were no significant differences between the arms in health service use. Conclusions and Relevance: In this study, implementation of a uniform reduced default dispense quantity of 10 tablets for opioid analgesic prescriptions led to a modest reduction in the quantity prescribed initially, without significantly increasing health service use. However, during 30 days after implementation, the influence on prescribing was mixed. Reducing EHR default dispense quantities for opioid analgesics is a feasible strategy that can be widely disseminated and may modestly reduce prescribing. Trial Registration: ClinicalTrials.gov Identifier: NCT03003832.
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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.