Background: Hand hygiene is considered the simplest and most cost-effective method of infection prevention. Regular observation and feedback on hand hygiene compliance are key strategies for its enhancement. This study evaluated the effectiveness of hand hygiene surveillance, including direct observation and feedback, by comprehensively analyzing the reported hand hygiene compliance within the Korean National Healthcare-Associated Infections Surveillance System from 2019 to 2022. Methods: Participating medical institutions included general hospitals and hospitals with infection control departments that consented to participate. Hand hygiene surveillance was conducted using direct observation. Collected data, including healthcare workers, clinical areas, hand hygiene moments, and hand hygiene compliance, were recorded to calculate hand hygiene compliance rates. Additionally, the volume of alcohol-based hand sanitizers used per patient per day was investigated as an indirect indicator of hand hygiene compliance. The study was conducted from July 2019 to December 2022. Results: Hand hygiene compliance increased from 87.2% in Q3 2019 to 89.9% in 2022. Nurses and medical technologists showed the highest compliance rates, whereas doctors showed the lowest compliance rates. Intensive care units excelled in compliance, whereas emergency de partments lagged. Compliance was highest after patient contact and lowest when the patient’s surroundings were touched. Larger hospitals consumed more alcohol-based hand sanitizers than smaller hospitals did. Conclusion This study confirmed an improvement in hand hygiene compliance through sustained surveillance, indicating its contribution not only to preventing infection transfer within healthcare facilities but also to fostering a culture of hand hygiene in the country.

Purpose: The purpose of this study was to develop an infection control education program (ICEP) for infection control practitioners (ICPs) in long-term care hospitals (LTCH) and to test the effectiveness of the program. Methods: The ICEP was developed based on the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. Focus group interviews, Borich needs assessment, and location of focus models were used to assess educational needs. To test the effectiveness of the developed ICEP program, one-group pretest-posttest design was used. Participants were 269 ICPs working at LTCH. Knowledge, skills, awareness, self-efficacy, and teaching efficacy on infection control were measured before and after the program using questionnaires. A paired t-test was performed to analyze the data. Results: Compared to pre-test, there was a significant improvement in knowledge (47.07±10.22 vs, 76.99±0.88, p<.001) and skills (32.11±12.48 vs. 62.11±14.08, p<.001). Awareness of infection control, self-efficacy, and teaching efficacy were also significantly improved. Conclusion We developed an ICEP for ICPs working at LTCH. Based on the results of this study, the ICEP is effective in improving infection control knowledge, skills, self-efficacy, and teaching efficacy for the ICPs. It is suggestive to provide an ICEP to improve hospital infection control activities.

PURPOSE: This study was done to investigate the status of disinfection and sterilization in healthcare facilities. METHOD: A survey of 193 Korean healthcare facilities was conducted from February 8 to March 7, 2013. Data were analyzed using descriptive statistics, chi2 test, Fisher's exact test, one-way ANOVA, Scheffe with SPSS WIN 18.0. RESULTS: Of the healthcare facilities 93.2% had specific guidelines for disinfection/sterilization, but only 47.9% had a committee on disinfection/sterilization for decision-making, less than half (42.7%) conducted regular monitoring of actual practices, while 83.9% had established procedures for recovery in case of problems with the disinfection process and 89.0% kept records and archives of disinfection practices. Cleaning process, selection of chemical disinfectants and process of disinfection and sterilization were found to be inadequate in some healthcare facilities. Perception score for adequacy of medical instruments was 8.10, environmental disinfection was 7.20, and sterilizer management was 8.45 out of a possible 10. CONCLUSION: Compared to larger institutions, smaller healthcare facilities had less effective disinfection and sterilization management systems, while some facilities showed inadequate practices for medical equipment and general sterilization. Better academic and state-level support is recommended for smaller facilities in order to establish a better system-wide management system.
Delivery of Health Care* ; Disinfectants ; Disinfection* ; Sterilization*

BACKGROUND: This study aims to examine the knowledge of nursing and allied health-college students on cough etiquette and their actual compliance to it. METHODS: For data collection, a structured questionnaire was created and handed out to students from 3 colleges from November 9 to November 18, 2011. The questionnaires were distributed to 300 students, and responses from 253 students were used for data analysis. RESULTS: In total, 54.85% students provided correct answers to questions regarding their knowledge on cough etiquette. The compliance score was 34.39 (compliance rate: 61.41%). There was a positive association between knowledge of proper cough etiquette and compliance with those procedures. CONCLUSION: It can be concluded that college student's knowledge of cough etiquette is low, and subsequently that their compliance with the proper procedures of cough etiquette was low. Therefore, it is necessary to develop a program to build knowledge of proper cough etiquette amongst these students.
Compliance ; Cough ; Data Collection ; Hand ; Humans ; Surveys and Questionnaires

BACKGROUND: The purpose of this study is to know the healthcare-associated infection (HAI)s in small and medium sized hospitals, less than 400 beds. METHODS: We had web based surveillance for HAIs in 27 hospitals from August to October 2010. The surveillance performed in 1-2 ICUs and 1 general ward in each hospitals by CDC definition. And for the multi-drug resistant organisms (MDROs), we reviewed all of blood culture results. RESULTS: We identified 319 HAIs among 269,436 patients days. The HAIs rate was 1.18 (CI 1.05-1.32)/1,000 patient-days. Urinary tract infection was the most common HAI (52.4%) in this study followed by pneumonia (18.9%), blood-stream infections (14.2%), surgical site infection (7.9%), and others (6.6%). There were 76.5% of device associated infections in UTI, 46.7% in BSI, and 18.3% in pneumonia. The rate of HAIs in ICU was higher than that of in general ward (4.6 vs 0.9/1,000 patient-days). However, the indwelling catheter associated urinary tract infection rate was lower in ICU (2.6 vs 4.4/1,000 device days). There were no significant differences in central line-associated blood stream infection rate (1.5 vs 1.8) and ventilator-associated pneumonia rate (3.0 vs 0.0). The common microorganisms found in HAIs were Escherichia coli (19.8%), Staphylococcus aureus (13.1%), and Pseudomonas aeruginosa (12.7%). Moreover, 90.9% of S. aureus were resistant to methicillin, and 38.2% of P. aeruginosa and 44.4% of Acinetobacter baumannii were resistant to imipenem. Total of 66 MDROs were isolated from blood culture and the result shows that the MRSA was 84.6% (56 case), carbapenmen-resistant Acinetobacter spp. was 10.6% (7 case), and vancomycin-resistant enterococci was 4.6% (3 case). CONCLUSION: The characteristics of HAIs in small and medium sized hospitals will be contributed to the decision making of governance policy for infection control and to provide comparable data for these hospitals.
Acinetobacter ; Acinetobacter baumannii ; Catheters, Indwelling ; Centers for Disease Control and Prevention (U.S.) ; Decision Making ; Escherichia coli ; Humans ; Imipenem ; Infection Control ; Methicillin ; Methicillin-Resistant Staphylococcus aureus ; Patients' Rooms ; Pneumonia ; Pneumonia, Ventilator-Associated ; Pseudomonas aeruginosa ; Rivers ; Staphylococcus aureus ; Urinary Tract Infections

BACKGROUND: This study aimed to examine the underreporting rate and related factors after needlestick injuries among healthcare workers (HCWs) in small- or medium-sized hospitals. METHODS: Convenience sampling was conducted for 1,100 HCWs in 12 small- or medium-sized hospitals with less than 500 beds. From October 1 to November 30, 2010, data were collected using self-report questionnaire that was developed by researcher. The response rate for the study was 98.3% (982 HCWs). Data were analyzed using Statistical Package for the Social Sciences (SPSS) Win 12.0. RESULTS: The reports showed that 239 HCWs (24.3%) sustained needlestick injuries within the last year. The under-reporting rate after a needlestick injury was 67.4% (161/239), and underreporting rates varied across the hospitals and ranged from 46.2% to 85.7%. The major reasons for underreporting after needlestick injuries were the assumption that no blood-borne pathogens existed in the source patient (62.8%), annoyance (17.9%), and no knowledge about the reporting procedure (6.0%). Multiple logistic regression analysis showed that the suggestion by colleagues to report the injury, the number of needlestick injuries, and the needle type were independently related to the underreporting of needlestick injuries. CONCLUSION: The underreporting rate of needlestick injuries in small- or medium-sized hospitals was similar to that in large-sized hospitals, and this finding confirmed that the suggestion by colleagues to report the injury was the most significant factor influencing the injury-report rate. Thus, creating an environment that encourages HCWs to report injuries is considered the most important method to decrease the underreporting rate of needlestick injuries in small- and medium-sized hospitals.
Blood-Borne Pathogens ; Delivery of Health Care ; Humans ; Logistic Models ; Needles ; Needlestick Injuries ; Occupational Exposure ; Risk Management ; Social Sciences ; Surveys and Questionnaires

BACKGROUND: This study aimed at assessing the knowledge of the general public about novel influenza and the extent of preventive measures undertaken when information on novel influenza and its preventive measures was extensively broadcasted during the novel influenza outbreak. METHODS: Between September 21 and October 31, self-report questionnaires were distributed to 1,200 persons. The completed questionnaires were collected from 1,025 persons. The collected data was used to determine the frequency and percentage as well as to conduct analyses such as t-test, ANOVA, and logistic regression by using SPSS WIN 12.0. RESULTS: The knowledge on novel influenza and the performance of preventive measures were scored at 6.58 and 5.10, respectively, on a scale of 12. This finding suggested that the knowledge on novel influenza and the performance of preventive measures were low. The significant factors influencing the participants' knowledge on novel influenza were age and the experience of watching relevant educational programs on television, whereas the factors influencing the performance of preventive measures were academic career, working status, and the experience of watching relevant educational programs on television. Between knowledge and implementation of preventive measures, there was positive correlation at low level (r=0.112, P<0.001). CONCLUSION: In conclusion, this study demonstrated that factors influencing the knowledge on and the performance of preventive measures against a disease should be considered when developing prevention strategies, such as broadcast of educational programs on television, against influenza or similar infectious diseases during an outbreak.
Communicable Diseases ; Humans ; Influenza, Human ; Logistic Models ; Pandemics ; Television ; Surveys and Questionnaires

PURPOSE: The purpose of this study was to examine the under-reporting rate and related factors after blood and body fluid (BBF) exposure among hospital employees. METHODS: Fifteen hundred employees were conveniently sampled from ten university and acute care hospitals. The survey questionnaire consisted of 37 items. Data were collected from September 10 to November 30, 2008. RESULTS: The survey response rate was 88.7%. The 47.9% (638/1,331) of hospital employees were exposed to BBF and the mean number of exposure was 4.7+/-5.942 within the previous year. Under-reporting rate after BBF exposure was 69.4% (443/638). By multi-variate logistic regression analysis, the exposure number, exposure type, infectious disease and hospital were independently related to the under-reporting of BBF among hospital employees. CONCLUSION: The Under-reporting Rate After Being Exposed To Blood And Body Fluids Was Relatively High. To Address This Problem, Educational Programs Are Needed To Decrease The Under-reporting Rate For Healthcare Workers. Further, It Might Be Helpful If Other Factors Related To Under-reporting Be Investigated In Future Studies.
Blood-Borne Pathogens ; Body Fluids ; Communicable Diseases ; Delivery of Health Care ; Logistic Models ; Occupational Exposure ; Risk Management

PURPOSE: This study was conducted to compare the recovery state of 6 month between s-ICH and s-SAH patients. The patients' recovery state was measured with 2 dimensions: functional and cognitive. METHODS: Non-experimental prospective design was adopted by including 108 hemorrhagic stroke patients(s-ICH: 52 vs s-SAH: 56) admitted to Intensive Care Unit of one university hospital. RESULTS: The study results showed that overall functional recovery state of s-SAH patients was better than that of s-ICH patients, and s-SAH patients also showed better recovery states in all of the sub-dimensions of functional recovery, such as feeding, grooming, and toileting, than those of s-ICH in 6 month. On the contrary, the study results showed that overall cognitive recovery states of 6 month between two groups were not significantly different. However, according to the results comparing the sub-dimensions of cognitive recovery, s-SAH patients' recovery states on attention, communication and memory were significantly better than those of s-ICH patients, while recovery states on problem solving, safety behavior, and social behavior between 2 groups were not significantly different. CONCLUSION: From the study results, it was noted that s-SAH patients showed better recovery states in cognitive dimension as well as in functional dimension compared with s-ICH patients.
Animals ; Cerebral Hemorrhage ; Grooming ; Humans ; Intensive Care Units ; Memory ; Problem Solving ; Prospective Studies ; Social Behavior ; Stroke ; Subarachnoid Hemorrhage

BACKGROUND: Cost-benefit studies for hospital infection control and prevention (HICP) are often applied to improve the investment for infection control; however, an accurate cost measurement for HICP would be necessary before a cost benefit analysis and establishing a proper policy for HICP. The purpose of this study is to analyze the costs of HICP for the hospital in Korea. METHOD: The costs associated with HICP in the year 2004 were surveyed for 8 university-affiliated teaching hospitals in Seoul and Kyounggi province. The collected data included the costs for standard precaution materials including hand hygiene and personal protective equipments, hospital employee health service, maintenance of hospital facility and environmental control, and operating infection control office. RESULT: The average costs for HICP were estimated to be 785,115 won per one bed per year. Among the contributing factors to the total costs were the cost for patient isolation in private rooms (310,458 won), disinfectants (125,533), hand hygiene materials (99,007), maintenance of hospital environmental hygiene (90,773), operation of infection control office (65,811), personal protective equipment (58,099), and employee health care (35,434). CONCLUSION: We estimated the annual cost of HICP at a minimum of 96,723,000 won for a 100-bed hospital. This study contributes to establishing the basic and necessary data for a proper HICP compensation system by providing various HICP costs for the university hospital.
Compensation and Redress ; Cost-Benefit Analysis ; Cross Infection* ; Disinfectants ; Hand Hygiene ; Hospitals, Teaching ; Humans ; Hygiene ; Infection Control ; Investments ; Korea ; Occupational Health ; Occupational Health Services ; Patient Isolation ; Patients' Rooms ; Seoul