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1.
Chinese Journal of Hospital Administration ; (12): 787-788, 2017.
Article in Chinese | WPRIM | ID: wpr-662777

ABSTRACT

Objective To explore the feasibility to apply case mix index ( CMI) in risk assessment of clinical nursing units. Methods Questionnaire was designed and used to evaluate risk ratings for 43 nursing units with wards, with the survey results subject to expert scoring. The units consisted of 16 in surgical system, 15 in internal medicine, and 7 in traditional Chinese medicine system. Statistical method was used to analyze the correlation of the expert scoring and CMI. Results The CMI of nursing units and expert scoring results had strong correlation (r=0. 69, P<0. 05). Two groups of data in surgical system and internal medicine system were highly correlated (r= 0. 716, P<0. 05; r= 0. 643, P<0. 05 respectively), while the two groups of data in traditional Chinese medicine system had no correlation (r=0. 572, P>0. 05). Conclusions CMI can be used as a reference for dynamic risk assessment of nursing units.

2.
Chinese Journal of Hospital Administration ; (12): 787-788, 2017.
Article in Chinese | WPRIM | ID: wpr-660718

ABSTRACT

Objective To explore the feasibility to apply case mix index ( CMI) in risk assessment of clinical nursing units. Methods Questionnaire was designed and used to evaluate risk ratings for 43 nursing units with wards, with the survey results subject to expert scoring. The units consisted of 16 in surgical system, 15 in internal medicine, and 7 in traditional Chinese medicine system. Statistical method was used to analyze the correlation of the expert scoring and CMI. Results The CMI of nursing units and expert scoring results had strong correlation (r=0. 69, P<0. 05). Two groups of data in surgical system and internal medicine system were highly correlated (r= 0. 716, P<0. 05; r= 0. 643, P<0. 05 respectively), while the two groups of data in traditional Chinese medicine system had no correlation (r=0. 572, P>0. 05). Conclusions CMI can be used as a reference for dynamic risk assessment of nursing units.

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