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1.
Cardiol Young ; 24(2): 344-50, 2014 Apr.
Article in English | MEDLINE | ID: mdl-23663283

ABSTRACT

A total of 458 hospital stays during the year 2011 were analysed to determine whether reimbursement by the current German Diagnosis-Related Groups system covers the costs incurred during hospital stay for congenital heart surgery. The costs of every hospital stay were estimated according to the guidelines of the Institute for the Hospital Remuneration System, an institute responsible for encoding hospital reimbursement in Germany. Cost-weight values of the year 2012 were applied for reimbursement. Related additional compensations were also included. Hospital costs ranged from 8896.26 to 193,671.94 euros per case, with a mean of 30,597 and standard deviation of 25,032 euros. Reimbursement varied from 8630.35 to 173,710.65 euros, with a mean of 25,514 and standard deviation of 18,497 euros: an underfunding of 17%. Fifty-nine per cent (271/458) of cases were classified, according to Aristotle complexity score, in higher comprehensive complexity: Levels 4-6. Costs highly correlated with complexity levels (Spearman's r coefficient = 0.89) and the regression was linear. Underfunding increased, linearly, from 6% for procedures with Level 1, lowest comprehensive complexity, to 23% for those with Level 6, highest complexity. In conclusion, this study demonstrates that reimbursement by the current German Diagnosis-Related Groups system increasingly penalises complex congenital heart surgery. Aristotle complexity score could help to correct this prejudicial situation.


Subject(s)
Cardiac Surgical Procedures/economics , Diagnosis-Related Groups/economics , Heart Defects, Congenital/surgery , Hospital Costs , Child , Child, Preschool , Germany , Humans , Infant , Infant, Newborn , Length of Stay/economics
2.
Pediatr Cardiol ; 33(1): 36-41, 2012 Jan.
Article in English | MEDLINE | ID: mdl-21800173

ABSTRACT

Planning and budgeting for congenital heart surgery depend primarily on how closely reimbursement matches costs and on the number and complexity of the surgical procedures. Aristotle complexity scores for the year 2010 were correlated with hospital costs and with reimbursement according to the German diagnosis-related groups (DRG) system. Unit surgical performance was estimated as surgical performance (complexity score × hospital survival) times the number of primary procedures. This study investigated how this performance evolved during years 2006 to 2010. Hospital costs and reimbursements correlated highly with Aristotle comprehensive complexity levels (Spearman r = 1). Mean costs and reimbursement reached 35,050 ± 32,665 and 31,283 ± 34,732, respectively, for an underfunding of 10.7%. Basic and comprehensive unit surgical performances were respectively 3036 ± 1009 and 3891 ± 1591 points in 2006. Both performances increased in sigmoid fashion to reach 3883 ± 1344 and 5335 ± 1314 points, respectively, in 2010. Top performances would be achieved in year 2011, and extrapolated costs would comprise about 19,434,094.92 (95% confidence interval, 11,961,491.22-22,495,764.42). The current underfunding of congenital heart surgery needs correction. The Aristotle score can help to adjust reimbursement according to complexity of procedures. Unit surgical performance allows accurate budgeting in the current German DRG system.


Subject(s)
Cardiac Surgical Procedures/classification , Heart Defects, Congenital/surgery , Hospital Costs/statistics & numerical data , Budgets , Cardiac Surgical Procedures/economics , Cardiac Surgical Procedures/mortality , Diagnosis-Related Groups , Germany , Heart Defects, Congenital/economics , Hospital Mortality , Humans , Severity of Illness Index
3.
Eur J Cardiothorac Surg ; 37(6): 1271-6, 2010 Jun.
Article in English | MEDLINE | ID: mdl-20137965

ABSTRACT

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.


Subject(s)
Diagnosis-Related Groups , Heart Defects, Congenital/economics , Heart Defects, Congenital/surgery , Cardiac Surgical Procedures/economics , Cardiac Surgical Procedures/standards , Germany , Hospital Costs/statistics & numerical data , Humans , Infant , Infant, Newborn , Quality Assurance, Health Care/methods , Reimbursement Mechanisms
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