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
Introduction: Several institutions are currently evaluating whether it is possible to gather valid, risk-adjusted quality indicators from routine billing data according to section 21 of the German Hospital Reimbursement Law (Krankenhaus-Entgeltgesetz, KHEntG). It is hoped that this method will enable hospitals to obtain quality assurance data in an easy and timely fashion.
Materials And Methods: For analysis, section 21 data according to KHEntG, quality assurance forms, and patients' medical records of the University Medical Center Ulm were evaluated in comparison to state and federal benchmark data from 2006.
Results: With regard to the quality indicator "Lethality in community-acquired pneumonia", it is possible to identify those cases that need to be included in quality assurance analysis by using predefined diagnosis lists. Risk adjustment can likewise be done according to the requirements set forth by the Federal Quality Assurance Office (Bundesgeschäftsstelle Qualitätssicherung, BQS), using only those data routinely collected for billing purposes. The results obtained are comparable to state and federal benchmark data. In addition, the analysis shows that the S3 recommendation to measure breathing rate as part of pneumonia risk assessment is not sufficiently being practiced at the moment.
Conclusions: Risk-adjusted quality indicators can be generated from routine billing data according to section 21 KHEntG. Taking the patients' medical records as a reference, these indicators can even be shown to be more valid than those generated from BQS quality assurance data at the University Medical Center Ulm.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1055/s-2008-1038186 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!