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Congenital heart disease: interrelation between German diagnosis-related groups system and Aristotle complexity score
Nicodème Sinzobahamvya1, Joachim Photiadis, Claudia Arenz
1Department of Paediatric Cardio-Thoracic Surgery, Congenital Cardiac Centre ('Deutsches Kinderherzzentrum'), Asklepios Clinic, Sankt Augustin, Germany. n.sinzobahamvya@asklepios.com
Insights
The Aristotle comprehensive complexity score (ACC) strongly correlates with German DRG 2009 cost-weights for congenital heart surgery. This suggests ACC can guide hospital reimbursement based on procedure complexity, potentially rewarding surgical quality.
Area of Science:
- Cardiovascular Surgery
- Health Economics
- Medical Information Systems
Background:
- The Disease-Related Groups (DRG) system aims to align hospital reimbursement with clinical complexity and resource consumption.
- Applying this to congenital heart surgery, higher procedure complexity should ideally result in higher reimbursement.
- The Aristotle complexity score quantifies the complexity of congenital heart procedures.
Purpose of the Study:
- To analyze the correlation between the case-mix index (CMI) generated by the German DRG 2009 system and the Aristotle complexity score for congenital heart surgery.
- To assess the suitability of the Aristotle score for informing hospital reimbursement in this surgical field.
Main Methods:
- 456 congenital heart surgery cases from 2008 were analyzed using the German DRG 2009 version.
- Aristotle Basic and Comprehensive Complexity (ABC and ACC) scores were determined for each case.
- Spearman correlation coefficients and goodness of fit (r²) were calculated between Aristotle scores and DRG cost-weights (CMI).
Main Results:
- The mean ABC score was 7.64 and the mean ACC score was 9.27.
- ACC scores showed a strong positive correlation with cost-weights, with a Spearman's r of 1 and r² of 0.9790.
- The derived regression equation (y = 0.5591 + 0.939x) indicates a near-perfect fit between ACC level scores and CMI.
Conclusions:
- The Aristotle Comprehensive Complexity (ACC) score demonstrates a near-perfect correlation with German DRG 2009 cost-weights.
- ACC scores can serve as a robust basis for hospital reimbursement, accurately reflecting procedure complexity in congenital heart surgery.
- Reimbursement could be modulated by surgical performance (score times survival) to incentivize quality care.
Objectives:
The Disease-Related Groups (DRGs) system postulates that inpatient stays with similar levels of clinical complexity are expected to consume similar amounts of resources. This, applied to surgery of congenital heart disease, suggests that the higher the complexity of procedures as estimated by the Aristotle complexity score, the higher hospital reimbursement should be. This study analyses how much case-mix index (CMI) generated by German DRG 2009 version correlates with Aristotle score.
Methods:
A total of 456 DRG cases of year 2008 were regrouped according to German DRG 2009 and related cost-weight values and overall CMI evaluated. Corresponding Aristotle basic and comprehensive complexity scores (ABC and ACC) and levels were determined. Associated surgical performance (Aristotle score times hospital survival) was estimated. Spearman 'r' correlation coefficients were calculated between Aristotle scores and cost-weights. Goodness of fit 'r(2)' from derived regression was determined. Correlation was estimated to be optimal if Spearman 'r' and derived goodness of fit 'r(2)' approached 1 value.
Results:
CMI was 8.787 while mean ABC and ACC scores were 7.64 and 9.27, respectively. Hospital survival was 98.5%: therefore, surgical performance attained 7.53 (ABC score) and 9.13 (ACC score). ABC and ACC scores and levels positively correlated with cost-weights. With Spearman 'r' of 1 and goodness of fit 'r(2)' of 0.9790, scores of the six ACC levels correlated at best. The equation was y = 0.5591 + 0.939x, in which y stands for cost-weight (CMI) and x for score of ACC level.
Conclusions:
ACC score correlates almost perfectly with corresponding cost-weights (CMI) generated by the German DRG 2009. It could therefore be used as the basis for hospital reimbursement to compensate in conformity with procedures' complexity. Extrapolated CMI in this series would be 9.264. Modulation of reimbursement according to surgical performance could be established and thus 'reward' quality in congenital heart surgery.
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