Evidence map›Paper›PMID 41127610›Full record

ArticleArthroplasty today2025

Preoperative Patient Education as a Tool for Reducing Postoperative Opioid Use Following Primary Total Hip Arthroplasty: One Institution's Experience.

Catherine M Call, Zoë A Walsh, Diane Jeselskis, Ryan J Mountjoy, Brian J McGrory, Adam J Rana

Abstract read
In one paragraph

Article in Arthroplasty today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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.

Catherine M CallTufts University School of Medicine, Boston, MA, USA.
Zoë A WalshMMP Orthopedics & Sports Medicine, Maine Medical Center, Portland, ME, USA.
Diane JeselskisMMP Orthopedics & Sports Medicine, Maine Medical Center, Portland, ME, USA.
Ryan J MountjoyTufts University School of Medicine, Boston, MA, USA.
Brian J McGroryTufts University School of Medicine, Boston, MA, USA.
Adam J RanaTufts University School of Medicine, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Minimizing postoperative opioids remaining after total hip arthroplasty (THA) is important for patient outcomes and community safety. The purpose of this study was to investigate whether completion of one preoperative patient education class prior to THA was associated with reduced opioid consumption at 2 weeks postoperatively. Secondary goals included evaluating whether satisfaction scores and postoperative healthcare utilization were impacted by class attendance, and whether demographic characteristics varied between groups that may highlight care disparities for our practice to address. Methods: Patients undergoing primary THA between January 2022 and December 2024 at a single large academic institution were retrospectively evaluated for inclusion, identifying 372 patients who completed the education class and 30 patients who did not. All patients received a multimodal perioperative pain management protocol standardized at our institution. Results: The number of morphine milligram equivalents (MMEs) consumed in the 2 weeks following THA was significantly lower among the class completion group (84.60 vs 127.30 MMEs; Conclusions: THA patients who completed an education class preoperatively consumed significantly fewer prescribed opioids as measured at the 2-week mark following surgery compared to those who did receive education. Our results support the role of patient education in reducing opioid use following arthroplasty.

Indexed as

Enhanced recovery after surgeryOpioidPatient educationRisk reductionTHATotal hip arthroplasty

Identifiers

PMID41127610
PMCPMC12537339

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Registered trials

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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.