Trialling diagnosis-related groups classification in the Iranian health system: a case study examining the feasibility of introducing casemix.
This paper examines the quality of routinely collected information in an Iranian hospital in a trial of casemix classification. Australian Refined Diagnosis Related Groups (AR-DRG) were used to classify patient episodes. There were 327 DRGs identified, of which 20% had only 1 case. The grouper program identified invalid records for 4% of total separations. Approximately 4.5% of cases were classified into error DRGs and 3.4% were ungroupable. No complication and comorbidity effects were identified with 93% of total cases. R2 (variance in length of stay explained) was 44% for untrimmed cases, increasing to 63%, 57% and 58% after trimming by L3H3, IQR and 10th-95th percentile methods respectively.
Ghaffari
S
S
School of Population Health, University of Queensland, Brisbane, Australia. sghaffari2000@yahoo.com
Doran
C
C
Wilson
A
A
Aisbett
C
C
D000704:Analysis of Variance; D015897:Comorbidity; D003625:Data Collection / Q000379:methods / Q000592:standards; D003953:Diagnosis-Related Groups / Q000145:classification / Q000458:organization & administration; D005240:Feasibility Studies; D006744:Hospital Bed Capacity, 100 to 299; D017721:Hospital Costs / Q000706:statistics & numerical data*; D006786:Hospitals, Urban / Q000706:statistics & numerical data; D006801:Humans; D007297:Inpatients / Q000145:classification / Q000706:statistics & numerical data; D038801:International Classification of Diseases / Q000458:organization & administration; D007492:Iran / Q000453:epidemiology; D007902:Length of Stay / Q000706:statistics & numerical data; D009313:National Health Programs / Q000458:organization & administration; D016011:Normal Distribution; D016311:Outliers, DRG / Q000706:statistics & numerical data; D012720:Severity of Illness Index