G. Matterson , K. Browne , P.E. Tehan , P.L. Russo , M. Kiernan , B.G. Mitchell
{"title":"清洁时间与动作:关于有效清洁医院共用医疗设备所需时间的观察研究。","authors":"G. Matterson , K. Browne , P.E. Tehan , P.L. Russo , M. Kiernan , B.G. Mitchell","doi":"10.1016/j.jhin.2024.08.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Despite the important role that cleaning plays in reducing the risk of healthcare-associated infections, no research has been undertaken to quantify the time required for effective cleaning and disinfection of different pieces of shared medical equipment commonly used in hospitals. This short report presents the results from a study that aimed to quantify the time required to clean common pieces of shared medical equipment effectively.</p></div><div><h3>Methods</h3><p>An observational time and motion study was conducted in a nursing simulation laboratory to determine the time required for effective cleaning and disinfection of 12 pieces of shared medical equipment commonly used in hospital. After training, the participants cleaned and disinfected equipment, with the time taken to clean recorded. Cleaning was deemed to be effective if ≥80% of ultraviolet fluorescent dots were removed during the cleaning process.</p></div><div><h3>Main results</h3><p>The time to clean equipment effectively ranged from 50 s [blood glucose testing kit; 95% confidence interval (CI) 0:40–1:00 (min:s)] to 3 min 53 s [medication trolley; 95% CI 3:36–4:11 (min:s)]. The intravenous stand was cleaned most effectively, with 100% of dots removed (<em>N</em> = 100 dots). In contrast, the bladder scanner was the most difficult to clean, with 12 attempts required to meet the 80% threshold for effective cleaning.</p></div><div><h3>Conclusion</h3><p>This study will inform staffing and training requirements to plan the cleaning and disinfection of shared medical equipment effectively. The findings can also be used for business cases, and in future cost-effectiveness evaluations of cleaning interventions that include shared medical equipment.</p></div>","PeriodicalId":54806,"journal":{"name":"Journal of Hospital Infection","volume":"152 ","pages":"Pages 138-141"},"PeriodicalIF":3.9000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0195670124002688/pdfft?md5=4c1d60b5346c9e59c03c0104a8295c6a&pid=1-s2.0-S0195670124002688-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Cleaning time and motion: an observational study on the time required to clean shared medical equipment in hospitals effectively\",\"authors\":\"G. Matterson , K. Browne , P.E. Tehan , P.L. Russo , M. Kiernan , B.G. Mitchell\",\"doi\":\"10.1016/j.jhin.2024.08.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Despite the important role that cleaning plays in reducing the risk of healthcare-associated infections, no research has been undertaken to quantify the time required for effective cleaning and disinfection of different pieces of shared medical equipment commonly used in hospitals. This short report presents the results from a study that aimed to quantify the time required to clean common pieces of shared medical equipment effectively.</p></div><div><h3>Methods</h3><p>An observational time and motion study was conducted in a nursing simulation laboratory to determine the time required for effective cleaning and disinfection of 12 pieces of shared medical equipment commonly used in hospital. After training, the participants cleaned and disinfected equipment, with the time taken to clean recorded. Cleaning was deemed to be effective if ≥80% of ultraviolet fluorescent dots were removed during the cleaning process.</p></div><div><h3>Main results</h3><p>The time to clean equipment effectively ranged from 50 s [blood glucose testing kit; 95% confidence interval (CI) 0:40–1:00 (min:s)] to 3 min 53 s [medication trolley; 95% CI 3:36–4:11 (min:s)]. The intravenous stand was cleaned most effectively, with 100% of dots removed (<em>N</em> = 100 dots). In contrast, the bladder scanner was the most difficult to clean, with 12 attempts required to meet the 80% threshold for effective cleaning.</p></div><div><h3>Conclusion</h3><p>This study will inform staffing and training requirements to plan the cleaning and disinfection of shared medical equipment effectively. The findings can also be used for business cases, and in future cost-effectiveness evaluations of cleaning interventions that include shared medical equipment.</p></div>\",\"PeriodicalId\":54806,\"journal\":{\"name\":\"Journal of Hospital Infection\",\"volume\":\"152 \",\"pages\":\"Pages 138-141\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0195670124002688/pdfft?md5=4c1d60b5346c9e59c03c0104a8295c6a&pid=1-s2.0-S0195670124002688-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hospital Infection\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0195670124002688\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospital Infection","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195670124002688","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Cleaning time and motion: an observational study on the time required to clean shared medical equipment in hospitals effectively
Background
Despite the important role that cleaning plays in reducing the risk of healthcare-associated infections, no research has been undertaken to quantify the time required for effective cleaning and disinfection of different pieces of shared medical equipment commonly used in hospitals. This short report presents the results from a study that aimed to quantify the time required to clean common pieces of shared medical equipment effectively.
Methods
An observational time and motion study was conducted in a nursing simulation laboratory to determine the time required for effective cleaning and disinfection of 12 pieces of shared medical equipment commonly used in hospital. After training, the participants cleaned and disinfected equipment, with the time taken to clean recorded. Cleaning was deemed to be effective if ≥80% of ultraviolet fluorescent dots were removed during the cleaning process.
Main results
The time to clean equipment effectively ranged from 50 s [blood glucose testing kit; 95% confidence interval (CI) 0:40–1:00 (min:s)] to 3 min 53 s [medication trolley; 95% CI 3:36–4:11 (min:s)]. The intravenous stand was cleaned most effectively, with 100% of dots removed (N = 100 dots). In contrast, the bladder scanner was the most difficult to clean, with 12 attempts required to meet the 80% threshold for effective cleaning.
Conclusion
This study will inform staffing and training requirements to plan the cleaning and disinfection of shared medical equipment effectively. The findings can also be used for business cases, and in future cost-effectiveness evaluations of cleaning interventions that include shared medical equipment.
期刊介绍:
The Journal of Hospital Infection is the editorially independent scientific publication of the Healthcare Infection Society. The aim of the Journal is to publish high quality research and information relating to infection prevention and control that is relevant to an international audience.
The Journal welcomes submissions that relate to all aspects of infection prevention and control in healthcare settings. This includes submissions that:
provide new insight into the epidemiology, surveillance, or prevention and control of healthcare-associated infections and antimicrobial resistance in healthcare settings;
provide new insight into cleaning, disinfection and decontamination;
provide new insight into the design of healthcare premises;
describe novel aspects of outbreaks of infection;
throw light on techniques for effective antimicrobial stewardship;
describe novel techniques (laboratory-based or point of care) for the detection of infection or antimicrobial resistance in the healthcare setting, particularly if these can be used to facilitate infection prevention and control;
improve understanding of the motivations of safe healthcare behaviour, or describe techniques for achieving behavioural and cultural change;
improve understanding of the use of IT systems in infection surveillance and prevention and control.