Effects of intensive care unit quality assessment on changes in medical staff in medical institutions and in-hospital mortality

Table 5 Relationship between quality assessments and medical staff on mortality in ICU inpatients

	OR	95% CI		p
Quality assessment
2nd	1.000	–	–
3rd	0.950	0.903	1.000	.048
Intensivist physician staffing
Yes	0.842	0.769	0.924	< .001
No	1.000	–	–
Nurse-to-ICU bed ratio	1.056	1.001	1.114	.045
Number of experienced nurses	0.996	0.995	0.997	< .001
Number of ICU specialized equipment	0.911	0.883	0.939	< .001
Number of ICU care protocols	0.983	0.953	1.013	.264
Number of infection prevention bundles	0.961	0.932	0.991	.012
Type of hospital
Tertiary hospital	1.000	–	–
General hospital	1.066	0.982	1.157	.128
Region
Capital area	1.000	–	–
Metropolitan	1.272	1.194	1.354	< .001
Other	1.072	1.007	1.141	.030
Number of beds
< 300	1.172	1.023	1.341	.022
< 500	0.957	0.848	1.079	.471
< 700	0.993	0.891	1.106	.895
< 900	1.123	1.034	1.220	.006
≥ 900	1.000	–	–
Sex
Male	1.123	1.069	1.180	< .001
Female	1.000	–	–
Age (years)	1.019	1.017	1.021	< .001
Ventilator application
Yes	6.607	6.248	6.987	< .001
No	1.000	–	–
Central venous catheter application
Yes	2.620	2.491	2.756	< .001
No	1.000	–	–
Health insurance
NHI	1.000	–	–
Medical aid	0.988	0.927	1.054	.721
Veteran	1.142	0.593	2.198	.692
Disease
Circulatory system (I00–I99)	0.965	0.879	1.060	.463
Respiratory system (J00–J99)	1.116	1.008	1.235	.034
Injury, poisoning, and certain other consequences of external causes (S00–T98)	0.747	0.666	0.837	< .001
Digestive system (K00–K93)	1.002	0.892	1.125	.975
Genitourinary system (N00–N99)	0.879	0.772	1.000	.050
Malignant neoplasms (C00–C97)	1.914	1.715	2.137	< .001
Nervous system (G00–G99)	0.578	0.476	0.701	< .001
Certain infections and parasitic diseases (A00–B99)	1.849	1.633	2.093	< .001
Other	1.000	–	–

ISSN: 1478-4491