Principal component analysis and effect evaluation for nursing management of hospital infection prevention and control measures

Abstract

Objective To have a clear sign of hospital infection prevention and control management measures in the role of principal component analysis to explore measures to intervene and effect evaluation. Methods For incidence of hospital infection case in our hospital increased in 2011, questionnaires were carried out for the nurses in our hospital. The principal component analysis was used for identifying the main care measures, the measures for the implementation of screening interventions. The hospital infection and environmental hygiene inspection pass rate and other data were collected in 2013 and compared with 2011 and 2012 to evaluate the effects of interventions. Results Principal component analysis showed four major hospital infection prevention and control measures in the cumulative contribution rate of 71.95%. By strengthening these interventions, hospital infection rate in 2013 was 4.5%, sanitation test pass rate was 82.41%, better than in 2011 and 2012, the difference was statistically significant(P< 0.05) . Conclusions For the special case of different hospitals, principal component analysis may be used to explore some nursing care management measures, which have a good effect on the prevention and control of hospital infection, to avoid the blindness of nursing management practices. Key words: Nursing management; Principal component analysis; Hospital infection