The measurement of severity of illness and DRG-based reimbursement;Die messung der fallschwere unter einem DRG-basierten vergütungssystem

Medizinische Klinik

Volumn 97, Issue 2, 2002, Pages 70-76

  Lüngen, Markus ^a   Lauterbach, Karl W ^a  

^a UNIVERSITY HOSPITAL OF COLOGNE   (Germany)

Author keywords

Diagnosis related groups; Germany; Hospital financing; Quality of care; Risk adjustment; Severity of illness

Indexed keywords

AUSTRALIA; COST BENEFIT ANALYSIS; DIAGNOSIS RELATED GROUP; DISEASE SEVERITY; EVALUATION; GERMANY; HOSPITAL CARE; HOSPITAL COST; HOSPITALIZATION; INTERMETHOD COMPARISON; QUALITY CONTROL; REIMBURSEMENT; REVIEW;

DIAGNOSIS-RELATED GROUPS; GERMANY; HUMANS; NATIONAL HEALTH PROGRAMS; PATIENT ADMISSION; QUALITY ASSURANCE, HEALTH CARE; REIMBURSEMENT MECHANISMS; REPRODUCIBILITY OF RESULTS; SEVERITY OF ILLNESS INDEX;

EID: 0037084164     PISSN: 07235003     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00063-002-1128-x     Document Type: Review

References (43)

1. Severity of a case for outcome assessment in health care-definitions and classification of instruments
2. Severity-of-illness measurement: Applications in quality assurance and utilization review
3. Development of the all patient DRGs (APR-DRGs)
4. A study of the relationship between severity of illness and hospital cost in New Jersey hospitals
5. Public Dissemination of Provider Performance Comparisons
6. The computerized severity index. A new sophisticated tool to measure hospital quality of care
7. MEDISGRPS: A clinically based approach to classifying hospital patients at admission
8. Disease staging: Implications for hospital reimbursement and management
9. Refinement of Medicare diagnosis related groups to incorporate a measure of severity
10. Lessons from evaluating an automated patient severity index
11. Staging of disease. A case-mix measurement
12. Basics of stratifying for severity of illness
13. Selecting and implementing a computerized severity of illness system
14. Improving the outcomes of coronary artery bypass surgery in New York State
15. "My patients are sicker": Adjusting outcomes by severity of illness
16. Interhospital differences in severity of illness. Problems for prospective payment based on diagnosis-related groups (DRGs)
17. The computerized severity index. A new tool for case-mix management
18. How severity measures rate hospitalized patients
19. Admission medisgroups score and the cost of hospitalizations
20. Judging hospitals by severity-adjusted mortality rates: The influence of the severity-adjustment method
21. Predicting in-hospital deaths from coronary artery bypass graft surgery. Do different severity measures give different predictions?
22. Predicting who dies depends on how severity is measured: Implications for evaluating patient outcomes
23. A description and clinical assessment of the computerized severity index
24. A clinical assessment of MedisGroups
25. The utility of severity of illness information illness information in assessing the quality of hospital care. The role of the clinical trajectory
26. Predicting inhospital mortality for stroke patients: Results differ across severity-measurement methods
27. Choosing a severity measure
28. The risks of risk adjustment
29. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults
30. Variations in mortality and length of stay in intensive care units
31. Judging hospitals by severity-adjusted mortality rates: The case of CABG surgery
32. Clinical outcomes management and disease staging
33. Measurement of severity of illness and the Medicare prospective payment system: State of the art and future directions
34. Measuring hospital outcomes from a buyer's perspective
35. Outcomes monitoring: Adjusting for risk factors, severity of illness, and complexity of care
36. Severity of illness scoring systems and performance appraisal
37. The impact of intra-DRG severity of illness on hospital profitability: Implications for payment reform
38. Predicted probabilities of hospital death as a measure of admission severity of illness
39. Why severity models should be used with caution
40. Application of severity measurement systems for hospital quality measurement
41. PMC Patient severity scale: Derivation and validation