Clustering pathology groups on hospital stay similarity : Short Report [printed text] /
Stephan Devriese 
, Author ;
Carine Van de Voorde, Author . -
Brussels [Belgium] : KCE = Federaal Kenniscentrum voor de Gezondheidszorg = Centre Fédéral d'Expertise des Soins de Santé = Belgian Health Care Knowledge Centre, 2016 . - 38 p. : ill., ; A4. - (
KCE Reports. Health Services Research (HSR); 270CS) .
ISSN : D/2016/10.273/62 : € 0,00
Languages : English (
eng)
| Descriptors: |
Classification
WX 157.8 Diagnosis-related groups
Indexation
2015-53 ; Cluster Analysis ; Data Interpretation, Statistical ; Health Care Reform ; R270
|
| Contents note: |
FOREWORD 1 -- SHORT REPORT 2 -- TABLE OF CONTENTS 2 -- LIST OF FIGURES 4 -- LIST OF TABLES .4 -- 1. INTRODUCTION 5 -- 1.1. BACKGROUND 5 -- 1.2. SCOPE AND OBJECTIVES .7 -- 1.3. METHODS .7 -- 2. BACKGROUND ON HOSPITAL PAYMENT IN BELGIUM 7 -- 2.1. THE BUDGET OF FINANCIAL MEANS .7 -- 2.2. PHYSICIAN FEES .8 -- 2.3. MIXED PAYMENTS FOR PHARMACEUTICAL SPECIALTIES .10 -- 2.4. PAYMENTS FOR DAY-CARE STAYS .10 -- 3. DEFINING THREE CLUSTERS 11 -- 3.1. WHAT DATA IS USED? 11 -- 3.1.1. Minimal Hospital Data (MZG – RHM) 11 -- 3.1.2. Hospital Billing Data (AZV – SHA and ADH – HJA) 12 -- 3.1.3. Technical Cell data (TCT) 12 -- 3.1.4. Analysis data set 13 -- 3.2. CLUSTER ANALYSIS METHOD 15 -- 3.2.1. What is a cluster analysis? 15 -- 3.2.2. Choice of cluster method .15 -- 3.2.3. Which variables to include? 15 -- 3.2.4. Cluster validation 16 -- 3.2.5. Cross-border cases .17 -- 3.3. CLUSTER ANALYSIS RESULTS 17 -- 3.3.1. Variable selection with HINoV 17 -- 3.3.2. Description of the three clusters 18 -- 3.3.3. Validation of the three clusters 22 -- 3.4. CAN THE CLUSTERS BE USED AS OUTLINES FOR THREE DIFFERENT PAYMENT SYSTEMS? 23 -- 4. ASSESSING APR-DRGS FOR A LUMP SUM PAYMENT PER STAY .25 -- 4.1. SCOPE .25 -- 4.2. VISUALISING VARIABILITY OF APR-DRG-SOIS IN THE LOW VARIABILITY CLUSTER 26 -- 4.2.1. Finding patterns of low within and between hospital variability 26 -- 4.2.2. Visualising variability on the original scale of the variable 26 -- 4.3. AN EXAMPLE: APR-DRG 301 – HIP JOINT REPLACEMENT 29 -- 5. DISCUSSION AND CONCLUSION 32 -- 5.1. THREE CLUSTERS 32 -- 5.1.1. Conclusion 32 -- 5.1.2. Data improvements for future analysis .32 -- 5.2. APR-DRG-SOIS ELIGIBLE FOR A LUMP SUM PER STAY 32 -- 5.2.1. Conclusion 32 -- 5.2.2. Next steps toward a lump sum per stay 32 -- 5.2.3. Implementation issues 34 -- 5.3. GENERAL CONCLUSION .35 -- RECOMMENDATIONS 36 -- REFERENCES .37 |
| Link for e-copy: |
https://doi.org/10.57598/R270CS |
| Format of e-copy: |
PDF (1,7 Mb) |
| Record link: |
https://kce.docressources.info/index.php?lvl=notice_display&id=3874 |
Clustering pathology groups on hospital stay similarity / Brussels [Belgium] : KCE = Federaal Kenniscentrum voor de Gezondheidszorg = Centre Fédéral d'Expertise des Soins de Santé = Belgian Health Care Knowledge Centre (2016)
