Impacts of the diagnosis-intervention packet reform on costs and healthcare resource utilization: evidence from Guangzhou, China

Table 3 Impacts of DIP on costs, LOS, and IHM by hospital subgroups using the SDID method without covariates

	Per-episode inpatient costs (CNY)	Average length of stay (days)	In-hospital mortality (%)
All hospitals	1574.735** [148.330, 3001.140]	0.006 [−1.362, 1.374]	0.031 [−0.185, 0.122]
Public hospitals	1583.413** [247.356, 2919.470]	−0.123 [−1.243, 0.998]	−0.071 [−0.230, 0.087]
Private hospitals	1448.065* [−132.051, 3028.181]	1.965 [−2.528, 6.459]	0.330** [0.008, 0.652]
Tertiary hospitals	988.493 [−1047.165, 3024.151]	0.264 [−1.533, 2.060]	−0.029 [−0.277, 0.219]
Secondary hospitals	1080.636* [−106.338, 2267.610]	3.022* [−0.148, 6.192]	0.311*** [0.158, 0.463]
Primary hospitals	959.746 [−1010.504, 2929.996]	0.191 [−2.815, 3.196]	0.1 [−0.959, 1.159]

Abbreviations: DIP diagnosis-intervention packet, LOS length of stay, IHM in-hospital mortality, SDID Synthetic difference-in-differences, ATT Average treatment effect
^***, ^**, and ^* denote the significance at the 1%, 5%, and 10% level. 95% confidence intervals in brackets

ISSN: 2191-1991