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
Background: Clinical priority assessment criteria (CPAC) are used to generate a score by which patients are prioritized and rationed for elective surgery. It is widely believed that surgeons elevate scores to ensure their patients' acceptance for elective surgery, colloquially called gaming. The purpose of the present paper was therefore to investigate whether there was a temporal trend to an increase in the assigned priority score from the inception of CPAC to the present.
Methods: Priority and weighted inlier equivalent separations (WIES) scores between 23 April 1999 and 23 July 2002 were collected for elective general surgical cases at Auckland Hospital. A total of 5440 cases was retrospectively analysed using multiple regression techniques. Priority score was included as the dependent variable and time as an independent variable. Any change in case complexity over that period was accounted for by including the WIES score as a covariate. Multiple regression was undertaken for the combined surgeons and for individuals.
Results: The combined model was statistically significant but accounted for only 17% of the priority score variance. An increase of one WIES unit leads to an increase of 2.7 in priority score (P=0.0001). The relationship of priority score with time was dependent on the surgeon performing the prioritization. However, only half the surgeons had individual models that indicated gaming.
Conclusions: The results show that gaming is occurring but that not all surgeons participate in this. The difference between surgeons' participation in gaming is a potential source of practice variation in the prioritization process.
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Source |
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http://dx.doi.org/10.1046/j.1445-1433.2003.02911.x | DOI Listing |
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