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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
The development of a novel database interrogating the patient management system in the Acute Medical Unit at Forth Valley Royal Hospital, Scotland, has allowed, for the first time, acquisition of reliable individual consultant-level process and outcome data over a 2-year period. These data have a number of uses, including understanding the level of variation between consultant physicians in AMU across key indicators, such as direct discharge percentage (67.5-44.3%), and readmission percentage (4.0-6.8%). Looking at overnight admissions only effectively excluded case mix as a confounder to identify variation in 30-day mortality (0-2.8%). This has allowed benchmarking, and exploring of relationships between volume of work, physician experience, and patient outcomes. For example, no significant relationship was seen between direct discharge percentage and readmission percentage. Furthermore it is extremely useful for individual clinician appraisal and governance. Finally it has practical uses when designing consultant rotas in order to minimise system variation. A key consideration throughout this work has been clear provenance and local clinical ownership of these data, unlike centrally generated data that may not accurately reflect Acute Medical Unit activity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4997/JRCPE.2018.202 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!