Perioper Med (Lond) November 2018 PMID 30479746

Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule.

Daniel I Rhon, Suzanne J Snodgrass, Joshua A Cleland, Charles D Sissel, Chad E Cook

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Mentions

5
Peak: 2 in Jan 2019
across 2 sources since Jan 2019

Extended reach

924
potential audience

Total likes

3

Video views

53

Mentions per month

Jan 2019 – Feb 2024

Where it's discussed

  • YouTube3 videos
  • X / Twitter2 posts

AI synopsis

What people are saying

Unsurprisingly, many discussions highlight the importance of socioeconomic and mental health factors, with phrases like 'clinical prediction' and 'managing postoperative risks' demonstrating a focus on practical applications. The tone and word choices suggest a balanced recognition of the study’s relevance, emphasizing both understanding and potential changes in treatment approaches.

AgreementModerate agreement

Most discussions recognize the significance of the study's findings related to risk factors for prolonged opioid use after orthopedic procedures.

InterestModerate interest

Posts show a moderate level of curiosity, often referencing the clinical implications and the importance of managing risk factors.

EngagementModerate engagement

Comments include detailed mentions of the study's methodology and implications, indicating a fair depth of participation.

ImpactModerate impact

Many acknowledge that identifying these predictors could influence clinical practice and patient management, suggesting a tangible impact.

Abstract in brief

  • This study aimed to identify key factors predicting chronic prescription opioid use after orthopedic surgery, focusing on patients aged 18-50 undergoing hip arthroscopy.
  • Researchers found that socioeconomic status, prior use of opioids or non-opioid pain medications, high health-seeking behavior, and mental health issues like insomnia, mental health disorders, or substance abuse were significant predictors of prolonged opioid use.
  • The study developed prediction models showing high probability (93.7%) of extended opioid use if multiple risk factors were present, emphasizing the importance of these variables in managing postoperative opioid prescriptions.

Top posts

Most liked on X and Bluesky
Duke HOD Team 3
@DukeHod3 · X

The entire paper: Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule. - PubMed - NCBI https://t.co/hWLD2sKo4C

Feb 9, 2019 · 3 likes · 68 followers View post →
The Relief Institute
@ReliefInstitute · X

Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical pre #back_pain https://t.co/tsFyZnnDeN

Jun 26, 2019 · 804 followers View post →

All mentions

The Relief Institute
@ReliefInstitute · X

Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical pre #back_pain https://t.co/tsFyZnnDeN

Jun 26, 2019 · 804 followers View post →
Duke HOD Team 3
@DukeHod3 · X

The entire paper: Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule. - PubMed - NCBI https://t.co/hWLD2sKo4C

Feb 9, 2019 · 3 likes · 68 followers View post →