Evidence map›Paper›PMID 38159932›Full record

Trial reportBMJ health & care informatics2023

Electronic health record intervention to increase use of NSAIDs as analgesia for hospitalised patients: a cluster randomised controlled study.

Tasce Bongiovanni, Mark J Pletcher, Andrew Robinson, Elizabeth Lancaster, Li Zhang, Matthias Behrends, Elizabeth Wick, Andrew Auerbach

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ health & care informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the 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, top 63% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Tasce BongiovanniDepartment of Surgery, University of California San Francisco School of Medicine, San Francisco, California, USA tasce.bongiovanni@ucsf.edu.ORCID http://orcid.org/0000-0003-4568-2087
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California San Francisco School of Medicine, San Francisco, California, USA.
Andrew RobinsonDepartment of Epidemiology and Biostatistics, University of California San Francisco School of Medicine, San Francisco, California, USA.
Elizabeth LancasterDepartment of Surgery, University of California San Francisco School of Medicine, San Francisco, California, USA.
Li ZhangDepartment of Epidemiology and Biostatistics, University of California San Francisco School of Medicine, San Francisco, California, USA.
Matthias BehrendsDepartment of Anesthesia, University of California San Francisco School of Medicine, San Francisco, California, USA.
Elizabeth WickDepartment of Surgery, University of California San Francisco School of Medicine, San Francisco, California, USA.
Andrew AuerbachDivision of Hospital Medicine, University of California San Francisco School of Medicine, San Francisco, California, USA.
University of California, San Francisco · US

Funding

Prolonged Use of Pain Medication Past the Postoperative Period in Older AdultsK23AG073523 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BONGIOVANNI, TASCE RIIKA SIMON · 2022 to 2025
$653k
AHRQ HHS K12 HS026383NIA NIH HHS K23 AG073523
6 · The paper itself

Abstract

backgroundPrescribing non-opioid pain medications, such as non-steroidal anti-inflammatory (NSAIDs) medications, has been shown to reduce pain and decrease opioid use, but it is unclear how to effectively encourage multimodal pain medication prescribing for hospitalised patients. Therefore, the aim of this study is to evaluate the effect of prechecking non-opioid pain medication orders on clinician prescribing of NSAIDs among hospitalised adults.

methodsThis was a cluster randomised controlled trial of adult (≥18 years) hospitalised patients admitted to three hospital sites under one quaternary hospital system in the USA from 2 March 2022 to 3 March 2023. A multimodal pain order panel was embedded in the admission order set, with NSAIDs prechecked in the intervention group. The intervention group could uncheck the NSAID order. The control group had access to the same NSAID order. The primary outcome was an increase in NSAID ordering. Secondary outcomes include NSAID administration, inpatient pain scores and opioid use and prescribing and relevant clinical harms including acute kidney injury, new gastrointestinal bleed and in-hospital death.

resultsOverall, 1049 clinicians were randomised. The study included 6239 patients for a total of 9595 encounters. Both NSAID ordering (36 vs 43%, p<0.001) and administering (30 vs 34%, p=0.001) by the end of the first full hospital day were higher in the intervention (prechecked) group. There was no statistically significant difference in opioid outcomes during the hospitalisation and at discharge. There was a statistically but perhaps not clinically significant difference in pain scores during both the first and last full hospital day.

conclusionsThis cluster randomised controlled trial showed that prechecking an order for NSAIDs to promote multimodal pain management in the admission order set increased NSAID ordering and administration, although there were no changes to pain scores or opioid use. While prechecking orders is an important way to increase adoption, safety checks should be in place.

Indexed as

AnalgesiaAnti-Inflammatory Agents, Non-SteroidalAdultAnalgesics, OpioidElectronic Health RecordsHospital MortalityHumansPainPain ManagementAnalgesics, OpioidAnti-Inflammatory Agents, Non-SteroidalElectronic Health RecordsHealth Services ResearchPain Management

Identifiers

PMID38159932
PMCPMC10759061
OpenAlexW4390485275

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.