[Scope and limitations of risk-adjusted evaluation of lethality in community-acquired pneumonia using data collected according to section 21 of the German Hospital Reimbursement Law (Krankenhaus-Entgeltgesetz, KHEntG)].
BACKGROUND
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.


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.
Flämig
G
G
Leiter Abteilung Medizincontrolling, Leistungs- und Kostenentwicklung, Universitätsklinikum Ulm, Ulm. guenther.flaemig@uniklinik-ulm.de
Schumann
C
C
Roempp
A
A
Marre
R
R
D017714:Community-Acquired Infections / Q000453:epidemiology; D003627:Data Interpretation, Statistical; D016208:Databases, Factual / Q000331:legislation & jurisprudence; D005858:Germany / Q000453:epidemiology; D006801:Humans; D007349:Insurance, Health, Reimbursement / Q000331:legislation & jurisprudence* / Q000706:statistics & numerical data*; D016347:Medical Records Systems, Computerized / Q000331:legislation & jurisprudence*; D018410:Pneumonia, Bacterial / Q000401:mortality*; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D016019:Survival Analysis