Evidence map›Paper›PMID 36812833›Full record

Observational studyJournal of clinical anesthesia2023

Automated feedback modestly improves perioperative treatment adherence of postoperative nausea and vomiting.

Calvin L Gruss, Teus H Kappen, Leslie C Fowler, Gen Li, Robert E Freundlich, Matthew D McEvoy, Brian S Rothman, Warren S Sandberg, Jonathan P Wanderer

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of clinical anesthesia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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 2 institutions in 2 countries.

Calvin L GrussDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America. Electronic address: Calvin.L.Gruss@vumc.org.
Teus H KappenDepartment of Anesthesiology, Intensive Care and Emergency Medicine, University Medical Center Utrecht, the Netherlands.
Leslie C FowlerDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America.
Gen LiDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America.
Robert E FreundlichDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America; Department of Biomedical Informatics, Vanderbilt University, United States of America.
Matthew D McEvoyDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America; Department of Surgery, Vanderbilt University Medical Center, United States of America.
Brian S RothmanDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America; Department of Biomedical Informatics, Vanderbilt University, United States of America; Department of Surgery, Vanderbilt University Medical Center, United States of America.
Warren S SandbergDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America.
Jonathan P WandererDepartment of Anesthesiology, Vanderbilt University Medical Center, United States of America; Department of Biomedical Informatics, Vanderbilt University, United States of America.
Vanderbilt University Medical Center · USUniversity Medical Center Utrecht · NL

Funding

Reducing Reintubation Risk in High-Risk Cardiac Surgery Patients with High-Flow Nasal Cannula -the "I-CAN" studyK23HL148640 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FREUNDLICH, ROBERT EDWARD · 2020 to 2024
$867k
NHLBI NIH HHS K23 HL148640
6 · The paper itself

Abstract

STUDY

objectiveExtensive evidence demonstrates that medical record modernization and a vast amount of available data have not overcome the gap between recommended and delivered care. This study aimed to evaluate the use of clinical decision support (CDS) in conjunction with feedback (post-hoc reporting) to improve PONV medication administration compliance and postoperative nausea and vomiting (PONV) outcomes.

designSingle center, prospective observational study between January 1, 2015, and June 30, 2017.

settingPerioperative care at a university-affiliated tertiary care center. PATIENTS: 57,401 adult patients who received general anesthesia in a non-emergency setting.

interventionA multi-phased intervention that consisted of post-hoc reporting for individual providers by email about PONV occurrences in their patients, followed by directive CDS through preoperative daily case emails that provided therapeutic PONV prophylaxis recommendations based on patients' PONV risk scores. MEASUREMENT: Compliance with PONV medication recommendations, as well as hospital rates of PONV were measured. MAIN

resultOver the study period, there was a 5.5% (95% CI, 4.2% to 6.4%; p < 0.001) improvement in the compliance of PONV medication administration along with an 8.7% (95% CI, 7.1% to 10.2%, p < 0.001) reduction in PONV rescue medication administration in the PACU. However, there was no statistically or clinically significant reduction in the prevalence of PONV in the PACU. The prevalence of PONV rescue medication administration decreased during the Intervention Rollout Period (odds ratio 0.95 [per month]; 95% CI, 0.91 to 0.99; p = 0.017), and during the Feedback with CDS Recommendation Period (odds ratio, 0.96 [per month]; 95% CI, 0.94 to 0.99; p = 0.013).

conclusionPONV medication administration compliance modestly improves with CDS in conjunction with post-hoc reporting; however, no improvement in PACU rates of PONV occurred.

Indexed as

AntiemeticsPostoperative Nausea and VomitingAdultAnesthesia, GeneralFeedbackHumansRisk FactorsAntiemetics

Identifiers

PMID36812833
PMCPMC10148234
OpenAlexW4321372788

What OpenQuestion holds

Textmetadata
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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.