The purpose of the study was to investigate the patient, disease and hospital characteristics which affect treatment result and early complication for inpatients with psychiatric comorbidity. We analyzed data on 19,806 patients of the Korea Centers for Disease Control and Prevention from 2012 to 2014, Korea National Hospital discharge in-depth data. Frequency, chi-square and logistic regression analysis was performed, using STATA 12.0. According to logistic regression analysis, gender(Odds ratio(OR)=0.776, 95% confidence interval(CI)=0.686- 0.878), insurance type(OR=0.853, CI=0.731-0.995), operation(OR=0.424, CI=0.350-0.513), disposition(OR= 39.307, CI=34.394-44.923), beds(300-499, OR=0.470, CI=0.377-0.585; 500-999, OR=0.462, CI=0.395-0.541; 1000 over, OR=0.598, CI=0.480-0.745) were significant predictors of treatment result. And insurance type(OR=1.527, CI=1.241-1.879), CCI(3 over, OR=1.865, CI=1.534-2.266), operation(OR=5.399, CI=4.562- 6.389), disposition(OR=1.279, CI=1.013-1.614), district(Metropolitan city, OR=0.519, CI=0.407-0.661; Nonmetropolitan OR=0.469, CI=0.383-0.574), beds(500-999, OR=2.799, CI=1.986-3.944; 1000 over, OR=2.109, CI=1.429-3.113) were significant predictors of early complication. This research would be used as a basic data of high quality of medical care and efficient resource utilization in order to detect and minimize the negative medical treatment results of inpatients with psychiatric comorbidity.