Literature DB >> 24576583

Evaluating population-based breast cancer surgical practice in real time with a web-based synoptic operative reporting system.

Walley J Temple1, Laura Chin-Lenn1, Lloyd A Mack2.   

Abstract

BACKGROUND: A Web-based synoptic operative reporting system (WebSMR) incorporates implicit guidelines and real-time feedback of a surgeon's practice compared with provincial data. This study compares rates of total mastectomy (TM) between the overall provincial and WebSMR patients and examines decision-making factors in WebSMR patients.
METHODS: Patients treated for invasive breast cancer (2007 to 2011) were identified from WebSMR and the Alberta Cancer Registry. Reports include surgery type and reasons for TM.
RESULTS: Among 5,787 patients in WebSMR (2007 to 2011), TM rate decreased from 48% to 42% (P < .001). In 2011, the provincial cancer registry recorded a 56% TM rate compared to 42% in WebSMR patients. Patient preference accounted for 36% in the latter group.
CONCLUSIONS: In WebSMR patients, TM rates were lower than the overall provincial rate and decreased significantly during the study period. Reasons are unclear, but guidelines and real-time feedback likely plays a role.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Population-based; Web-based synoptic operative reporting

Mesh:

Year:  2014        PMID: 24576583     DOI: 10.1016/j.amjsurg.2013.12.013

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  2 in total

Review 1.  Does standardised structured reporting contribute to quality in diagnostic pathology? The importance of evidence-based datasets.

Authors:  D W Ellis; J Srigley
Journal:  Virchows Arch       Date:  2015-08-28       Impact factor: 4.064

2.  Structured Data Capture for Oncology.

Authors:  Alexander K Goel; Walter Scott Campbell; Richard Moldwin
Journal:  JCO Clin Cancer Inform       Date:  2021-02
  2 in total

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