A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Comparing surgeon perception to publicly reported data using NSQIP. | LitMetric

Background: Past studies have demonstrated that surgeons' perceptions of their own postsurgical complications may not be accurate. The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database is a nationally validated, risk-adjusted, outcomes-based program created to measure and improve the quality of surgical care. Using information acquired through survey data, the purpose of this study is to determine how surgeons' perceptions of their own postoperative complications rates compare to the NSQIP database that tracks these outcome metrics.

Hypothesis/purpose: We hypothesize that surgeons underestimate their rates of morbidity, readmission, and reoperation within thirty days postoperatively when compared to NSQIP data.

Study Design: Data elements such as perceived morbidity, readmission, and reoperation were collected through surveys distributed at a large level one trauma center. Survey respondents were asked how their rates compared to their peers and physician survey responses were then compared to institutional NSQIP data.

Results: 87.5% of surgeons underestimated their rates of morbidity, 35.4% underestimated their rates of readmission, 22.9% underestimated their rates of reoperation. When comparing themselves to their departmental averages, 57.78% accurately estimated their morbidity rates, 75.56% accurately estimated readmission rates, and 86.67% accurately estimated reoperation rates.

Conclusion: Surgeons are poor predictors of individual 30-day postoperative complication rates including morbidity, readmission, and reoperation. However, surgeons are more accurate in estimating these same outcomes when asked to compare to the average of their department.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338147PMC
http://dx.doi.org/10.1016/j.jor.2023.06.010DOI Listing

Publication Analysis

Top Keywords

morbidity readmission
12
readmission reoperation
12
underestimated rates
12
accurately estimated
12
rates
9
surgeons' perceptions
8
nsqip database
8
rates morbidity
8
nsqip
5
surgeons
5

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!