Zhiping Gong1, Stephen J Duckett, David G Legge, Likun Pei. 1. School of Public Health, Faculty of Health Sciences, LaTrobe University, 29 Barwon Av. Reservoir, Bundoora, Vic. 3086, Australia. z.gong@latrobe.edu.au
Abstract
OBJECTIVE: To examine the applicability of an Australian casemix classification system to the description of Chinese hospital activity. DESIGN: A total of 161,478 inpatient episodes from three Chengdu hospitals with demographic, diagnosis, procedure and billing data for the year 1998/1999, 1999/2000 and 2000/2001 were grouped using the Australian refined-diagnosis related groups (AR-DRGs) (version 4.0) grouper. MAIN OUTCOME MEASURES: Reduction in variance (R2) and coefficient of variation (CV). RESULTS: Untrimmed reduction in variance (R2) was 0.12 and 0.17 for length of stay (LOS) and cost respectively. After trimming, R2 values were 0.45 and 0.59 for length of stay and cost respectively. CONCLUSIONS: The Australian refined DRGs provide a good basis for developing a Chinese grouper.
OBJECTIVE: To examine the applicability of an Australian casemix classification system to the description of Chinese hospital activity. DESIGN: A total of 161,478 inpatient episodes from three Chengdu hospitals with demographic, diagnosis, procedure and billing data for the year 1998/1999, 1999/2000 and 2000/2001 were grouped using the Australian refined-diagnosis related groups (AR-DRGs) (version 4.0) grouper. MAIN OUTCOME MEASURES: Reduction in variance (R2) and coefficient of variation (CV). RESULTS: Untrimmed reduction in variance (R2) was 0.12 and 0.17 for length of stay (LOS) and cost respectively. After trimming, R2 values were 0.45 and 0.59 for length of stay and cost respectively. CONCLUSIONS: The Australian refined DRGs provide a good basis for developing a Chinese grouper.
Authors: S A Zafirah; Amrizal Muhammad Nur; Sharifa Ezat Wan Puteh; Syed Mohamed Aljunid Journal: BMC Health Serv Res Date: 2018-01-25 Impact factor: 2.655