Impact of Multidisciplinary Collaborative Intervention on Isolation Implementation in Prevention and Control of Multi-drug Resistance Infection.

OBJECTIVE: Contact precautions, especially the initiation of isolation, are important measures to prevent and control multidrug-resistant organisms (MDROs). However, the implementation in clinical practice remains weak. This study aimed to analyze the impact of multidisciplinary collaborative intervention on isolation implementation in multidrug-resistant infection, and determine the factors that affect the implementation of isolation measures. METHODS: A multidisciplinary collaborative intervention related to isolation was conducted at a teaching tertiary hospital in central China on November 1, 2018. The information of 1338 patients with MDRO infection and colonization at 10 months before and after the intervention was collected. Then, the issuance of isolation orders was retrospectively analyzed. Univariate analysis and multivariate logistic regression analysis were performed to analyze the factors that affected the isolation implementation. RESULTS: The overall issuance rate of isolation orders was 61.21%, which increased from 33.12% to 75.88% (P<0.001) after the implementation of the multidisciplinary collaborative intervention. The intervention (P<0.001, OR=0.166) was a promoting factor for the issuance of isolation orders, in addition to the length of stay (P=0.004, OR=0.991), department (P=0.004), and microorganism (P=0.038). CONCLUSION: The isolation implementation remains far lower than policy standards. Multidisciplinary collaborative interventions can effectively improve the compliance to isolation measures implemented by doctors, thereby promoting the standardized management of MDROs, and providing reference for further improving the quality of hospital infection management.

Model of Healthcare-Associated Infection Control in Primary Health Care Institutions: A Structural Equation Modeling.

The purpose of this study was to construct the model of organization system, management, training and surveillance in healthcare-associated infection prevention and control (IC) of primary health care institutions and identify its effect on patient safety and decreasing economic burden by standardizing IC. A cross-sectional survey was conducted with questionnaires. Data were collected from 268 primary health care institutions in Hubei province, China. Hypotheses on the model of IC were analyzed by means of confirmatory factor analysis and structural equation modeling. The results showed that the fit indices of the hypothesized model of IC satisfied recommended levels: root mean square error of approximation (RMSEA)=0.071; comparative fit index (CFI)=0.965; tucker-lewis index (TLI)=0.956; weighted root mean square residual (WRMR)=1.014. The model showed that organization system had a direct effect on management (ß=0.311, P<0.01), and training (ß=0.365, P<0.01). Management and training played an intermediary role that partially promoted organization system impact on surveillance. Results also showed that institutional factors such as the number of physicians, the number of nurses, the designated capacity of beds, the actual number of open beds and surgery trips had positive impacts on management (ß=0.050, P<0.01; ß=0.181, P<0.01; ß=0.111, P<0.01; ß=0.064, P<0.01; ß=0.084, P=0.04) and training (ß=0.21, P=0.03; ß=0.050, P=0.02; ß=0.586, P=0.01; ß=-0.995, P=0.02; ß=-0.223, P=0.03). In conclusion, the model of organization system, management, training and surveillance in IC of primary health care institutions is valuable for guiding IC practice.

Does hospital ownership influence hand hygiene compliance?

The issue as to whether hospital ownership has an impact on the quality of care has long been a serious concern. Hand hygiene (HH) compliance is regarded as an important indicator of the quality of care in the control of hospital-acquired infections. However, little information is available on whether hospital ownership influences HH compliance. In this study, of 229 hospitals selected from Hubei province in China, 152 were public and 77 were private hospitals. A total of 23 652 healthcare workers (HCWs) were surveyed, using a convenience sampling. HH compliance, the WHO's "My Five Moments for hand hygiene" (5MHH), among HCWs, together with the factors of hospital ownership, training frequency, bed occupancy rates, etc. were collected. Univariate analysis and ordinal logistic regression analysis were used to analyze factors affecting HH compliance. Overall, HH compliance rates were 67% and 79% for public and private hospitals, respectively. The HH compliance rates of HCWs and 5MHH were between 55% and 95%, and influenced by hospital ownership (P<0.05), excluding compliance rate at the moment after body fluid exposure, and other influence factors included training frequency and bed occupancy rate (P<0.05). HH compliance is better in private than in public hospitals. Hospital ownership is a significant factor affecting HH compliance, in addition to training frequency and bed occupancy rate.