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Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_5 | Pages 10 - 10
23 Apr 2024
Stanley C Sheridan GA Paige B Hoellwart JS Reif TJ Fragomen AT Rozbruch SR
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Introduction

The use of osseointegrated limb replacement prostheses for amputees are rapidly growing in popularity due to the many benefits over conventional sockets. Many institutions worldwide are beginning to provide this surgical option to their patients and are advertising the service online. The aim of this study was to assess the quality and reading level of related information available online.

Materials & Methods

A search was performed using the 3 most popular English language search engines reviewing the top 40 websites from each, using the term osseointegration on. Duplicates, videos, medical journal articles and dentistry websites were excluded. All included websites were assessed for reading using the FKGL, G-Fog and FRE. Quality was assessed using the JAMA benchmark criteria, HONC erificate and a novel 16-point scoring system developed specifically for limb replacement osseointegration.


Bone & Joint Open
Vol. 1, Issue 10 | Pages 645 - 652
19 Oct 2020
Sheridan GA Hughes AJ Quinlan JF Sheehan E O'Byrne JM

Aims

We aim to objectively assess the impact of COVID-19 on mean total operative cases for all indicative procedures (as outlined by the Joint Committee on Surgical Training (JCST)) experienced by orthopaedic trainees in the deanery of the Republic of Ireland. Subjective experiences were reported for each trainee using questionnaires.

Methods

During the first four weeks of the nationwide lockdown due to COVID-19, the objective impact of the pandemic on each trainee’s surgical caseload exposure was assessed using data from individual trainee logbook profiles in the deanery of the Republic of Ireland. Independent predictor variables included the trainee grade (ST 3 to 8), the individual trainee, the unit that the logbook was reported from, and the year in which the logbook was recorded. We used the analysis of variance (ANOVA) test to assess for any statistically significant predictor variables. The subjective experience of each trainee was captured using an electronic questionnaire.