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Describing Iranian hospital activity using Australian Refined DRGs: A case study of the Iranian Social Security Organisation

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  • Ghaffari, Shahram
  • Jackson, Terri J.
  • Doran, Christopher M.
  • Wilson, Andrew
  • Aisbett, Chris

Abstract

Objective To describe Iran's hospital activity with Australian Refined Diagnosis Related Groups (AR-DRGs).Method A total of 445,324 separations was grouped into discreet DRG classes using AR-DRGs. L3H3; IQR and 10th-95th percentile were used to exclude outlier cases. Reduction in variance (R2) and coefficient of variation (CV) were applied to measure model fit and within group homogeneity.Results Total hospital acute inpatients were grouped into 579 DRG groups in which 'surgical' cases represented 63% of the total separations and 40% of total DRGs. Approximately 12.5% of the total separations fell into DRGs O60C (vaginal delivery) and 28% of the total separations classified into major diagnostic category (MDC) 14 (pregnancy and childbirth). Although reduction in variance (R2) for untrimmed data was low (R2Â =Â 0.17) for LOS, trimming by L3H3, IQR, and 10th-95th percentile methods improved the value of R2 to 0.53, 0.48, and 0.51, respectively. Low value of R2 for AR-DRGs within several MDCs were identified, and found to reflect high variability in one or two DRGs. High within-DRG variation was identified for 23% of DRGs using untrimmed data.Conclusion Low quality and incomplete data undermines the accuracy of casemix information. This may require improvement in coding quality or further classification refinement in Iran. Further study is also required to compare AR-DRG performance with other versions of DRGs and to determine whether the low value of R2 for several MDCs is due to the weakness of the AR-DRG algorithm or to Iranian specific factors.

Suggested Citation

  • Ghaffari, Shahram & Jackson, Terri J. & Doran, Christopher M. & Wilson, Andrew & Aisbett, Chris, 2008. "Describing Iranian hospital activity using Australian Refined DRGs: A case study of the Iranian Social Security Organisation," Health Policy, Elsevier, vol. 87(1), pages 63-71, July.
    • Handle: RePEc:eee:hepoli:v:87:y:2008:i:1:p:63-71
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    References listed on IDEAS

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    1. Cots, Francesc & Elvira, David & Castells, Xavier & Dalmau, Eulalia, 2000. "Medicare's DRG-weights in a European environment: the Spanish experience," Health Policy, Elsevier, vol. 51(1), pages 31-47, February.
    2. Carol Beaver & Yuejen Zhao & Stewart McDermid & Don Hindle, 1998. "Casemix‐based funding of Northern Territory public hospitals: adjusting for severity and socio‐economic variations," Health Economics, John Wiley & Sons, Ltd., vol. 7(1), pages 53-61, February.
    3. Gong, Zhiping & Duckett, Stephen J. & Legge, David G. & Pei, Likun, 2004. "Describing Chinese hospital activity with diagnosis related groups (DRGs): A case study in Chengdu," Health Policy, Elsevier, vol. 69(1), pages 93-100, July.
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    1. Camilleri, Carl & Jofre-Bonet, Mireia & Serra-Sastre, Victoria, 2018. "The suitability of a DRG casemix system in the Maltese hospital setting," Health Policy, Elsevier, vol. 122(11), pages 1183-1189.
    2. Polyzos, Nikolaos & Karanikas, Haralampos & Thireos, Eleftherios & Kastanioti, Catherine & Kontodimopoulos, Nick, 2013. "Reforming reimbursement of public hospitals in Greece during the economic crisis: Implementation of a DRG system," Health Policy, Elsevier, vol. 109(1), pages 14-22.

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