1995
DOI: 10.1097/00005650-199508000-00006
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Diagnosis-Related Group Refinement with Diagnosis- and Procedure-Specific Comorbidities and Complications

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Cited by 52 publications
(26 citation statements)
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“…Similar to findings in our prior work regarding uncomplicated ARF and hospital resource utilization, the RDRG severity of illness classes (low, moderate, high) maintain a strong graduated association with the receipt of post-hospital care in uncomplicated ARF patients [11]. This investigation is the first to demonstrate the utility of this risk-adjustment model in forecasting post-hospital resource use for an acute illness [19, 20]. …”
Section: Discussionsupporting
confidence: 77%
See 1 more Smart Citation
“…Similar to findings in our prior work regarding uncomplicated ARF and hospital resource utilization, the RDRG severity of illness classes (low, moderate, high) maintain a strong graduated association with the receipt of post-hospital care in uncomplicated ARF patients [11]. This investigation is the first to demonstrate the utility of this risk-adjustment model in forecasting post-hospital resource use for an acute illness [19, 20]. …”
Section: Discussionsupporting
confidence: 77%
“…Lastly, disease variables included both dialysis and severity of illness. Dialysis was defined by the presence of either of the following ICD-9-DM procedure codes 39.95 or 54.98, while the severity of illness (e.g., low, moderate, high) was defined using the refined DRG (RDRG) method, which employs an algorithm based on secondary diagnostic codes and procedures [19, 20]. …”
Section: Methodsmentioning
confidence: 99%
“…Premier's database contains an APR DRG for each patient, as well as an APR DRG severity score. The APR DRGs distinguish among patients using disease-or procedure-specific classes of secondary diagnoses [13]. The APR DRG severity score is a prediction of resource utilization based on discharge abstracts that assigns patients to four levels: 1 = minor, 2 = moderate, 3 = major, and 4 = extreme.…”
Section: Definitions and Variables Assessedmentioning
confidence: 99%
“…2 This shift has caught many pediatric hospitals off guard, as little data exist to guide the development of prospective payment rates for pediatric diagnoses, [6][7][8][9] although there is some evidence of improved accuracy in refinements of the DRG classification system for children. 10,11 Our study explores 2 fundamental issues confronting pediatric tertiary care centers that enter competitive prospective contracts for common pediatric procedures or conditions: (1) how does the presence of patient chronic disease influ-ence resource utilization and length of stay (LOS) for common pediatric conditions? and (2) if children's hospitals (defined as either children's hospitals or academic pediatric tertiary care centers) provide care for common pediatric conditions, but treat a disproportionate number of these common conditions in complicated patients with 1 or more chronic diseases, what effect will this have on their financial solvency, when health care is financed prospectively in a competitive market?…”
mentioning
confidence: 99%