Understanding variations and influencing factors on length of stay for T2DM patients based on a multilevel model.

ABSTRACT:

Aim

Shortening the length of stay (LOS) is a potential and sustainable way to relieve the pressure that type 2 diabetes mellitus (T2DM) patients placed on the public health system.

Method

Multi-stage random sampling was used to obtain qualified hospitals and electronic medical records for patients discharged with T2DM in 2018. A box-cox transformation was adopted to normalize LOS. Multilevel model was used to verify hospital cluster effect on LOS variations and screen potential factors for LOS variations from both individual and hospital levels.

Result

50 hospitals and a total of 12,888 T2DM patients were included. Significant differences in LOS variations between hospitals, and a hospital cluster effect on LOS variations (t = 92.188, P<0.001) was detected. The result

SUBMITTER: Liu W 

PROVIDER: S-EPMC7954328 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature