Literature DB >> 25168346

The factors influencing the decision making of operative treatment for proximal humeral fractures.

Michiel G J S Hageman1, Prakash Jayakumar1, John D King1, Thierry G Guitton2, Job N Doornberg2, David Ring3.   

Abstract

BACKGROUND: The factors influencing the decision making of operative treatment for fractures of the proximal humerus are debated. We hypothesized that there is no difference in treatment recommendations between surgeons shown radiographs alone and those shown radiographs and patient information. Secondarily, we addressed (1) factors associated with a recommendation for operative treatment, (2) factors associated with recommendation for arthroplasty, (3) concordance with the recommendations of the treating surgeons, and (4) factors affecting the inter-rater reliability of treatment recommendations.
METHODS: A total of 238 surgeons of the Science of Variation Group rated 40 radiographs of patients with proximal humerus fractures. Participants were randomized to receive information about the patient and mechanism of injury. The response variables included the choice of treatment (operative vs nonoperative) and the percentage of matches with the actual treatment.
RESULTS: Participants who received patient information recommended operative treatment less than those who received no information. The patient information that had the greatest influence on treatment recommendations included age (55%) and fracture mechanism (32%). The only other factor associated with a recommendation for operative treatment was region of practice. There was no significant difference between participants who were and were not provided with information regarding agreement with the actual treatment (operative vs nonoperative) provided by the treating surgeon.
CONCLUSION: Patient information-older age in particular-is associated with a higher likelihood of recommending nonoperative treatment than radiographs alone. Clinical information did not improve agreement of the Science of Variation Group with the actual treatment or the generally poor interobserver agreement on treatment recommendations.
Copyright © 2015 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Proximal humeral fractures; decision-making; factors; operative versus nonoperative treatment

Mesh:

Year:  2014        PMID: 25168346     DOI: 10.1016/j.jse.2014.05.013

Source DB:  PubMed          Journal:  J Shoulder Elbow Surg        ISSN: 1058-2746            Impact factor:   3.019


  8 in total

1.  Orthopaedic surgeons' opinions surrounding the management of proximal humerus fractures: an international survey.

Authors:  Lauren L Nowak; Milena R Vicente; Michael D McKee; Jeremy A Hall; Aaron Nauth; Emil H Schemitsch
Journal:  Int Orthop       Date:  2017-07-20       Impact factor: 3.075

2.  3D reconstruction does not improve agreement and results in an increase in surgical indications in proximal humeral fractures.

Authors:  Carlos Torrens; Raquel Marí; Marta Cuenca; Tulia Ferrer; Klaus Langohr; Fernando Santana
Journal:  J Orthop       Date:  2018-09-06

3.  Substantial variation among hernia experts in the decision for treatment of patients with incisional hernia: a descriptive study on agreement.

Authors:  D Kokotovic; I Gögenur; F Helgstrand
Journal:  Hernia       Date:  2016-12-03       Impact factor: 4.739

4.  Do Surgeons Treat Their Patients Like They Would Treat Themselves?

Authors:  Stein J Janssen; Teun Teunis; Thierry G Guitton; David Ring
Journal:  Clin Orthop Relat Res       Date:  2015-11       Impact factor: 4.176

5.  Do Patient Preferences Influence Surgeon Recommendations for Treatment?

Authors:  Lisanne J H Smits; Suzanne C Wilkens; David Ring; Thierry G Guitton; Neal C Chen
Journal:  Arch Bone Jt Surg       Date:  2019-03

Review 6.  The Applications of Finite Element Analysis in Proximal Humeral Fractures.

Authors:  Yongyu Ye; Wei You; Weimin Zhu; Jiaming Cui; Kang Chen; Daping Wang
Journal:  Comput Math Methods Med       Date:  2017-09-10       Impact factor: 2.238

7.  Risk preferences and attitudes to surgery in decision making.

Authors:  Andreas Meunier; Kinga Posadzy; Gustav Tinghög; Per Aspenberg
Journal:  Acta Orthop       Date:  2017-03-15       Impact factor: 3.717

8.  Reliability of classification for post-traumatic ankle osteoarthritis.

Authors:  Femke M A P Claessen; Diederik T Meijer; Michel P J van den Bekerom; Barend D J Gevers Deynoot; Wouter H Mallee; Job N Doornberg; C Niek van Dijk
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2015-11-26       Impact factor: 4.342

  8 in total

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