Author: Lau, Ching Yee Lilian
Title: Integrated management protocol for infection control in government eye clinic
Degree: M.Sc.
Year: 2014
Subject: Infection -- Prevention.
Hospital buildings -- Disinfection.
Nosocomial infections -- Prevention
Hong Kong Polytechnic University -- Dissertations
Department: School of Nursing
Pages: xvii, 140 leaves : ill. ; 30 cm.
Language: English
Abstract: Background: Government clinic is a place usually experience overcrowding. This research study the sick symptoms effect of the government eye clinic based on historical patients booking data, physical environmental measurements of CO₂, temperature, etc and combined with the questionnaires study for patients and staffs to conclude a suggested management protocol for infection control based on the findings of the studies. Aim and objectives: To find the effect of physical environmental parameters over the sick symptoms feeling of the occupants in the government eye clinic. The result then use together with Wells-Riley Model to generate a management protocol for controlling the infection in the clinic. Methods: The whole clinic was divided into multiples zones. Some equipment was used to measure the physical environmental parameters such as CO₂, Room Temperature, Relative Humidity Level and HCHO level in each zone. Then, the questionnaires were dispatched to study the subjective feeling of patients and staffs in the clinic. The questionnaire measured the sickness feeling of the occupants and subjective feeling of the occupants over total indoor quality factors. Results and Conclusion: Crowdedness and Physical parameters such as CO₂ can affect the sick symptoms happened to the patients and staffs in the clinic. Some of the measured factors such as CO₂ level and duration of study can affect the sickness level of the occupants significantly. Wells-Riley Model is an useful tools to demonstrate the effect of the environmental parameters over the infection control in the government eye clinic. Some recommendation for controlling the sickness symptoms had made based on the findings of this research using the demonstration of Well-Riley Model.
Rights: All rights reserved
Access: restricted access

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