Rodger G, Chau K, Aranega Bou P, Moore G, Roohi A, Walker As, Stoesser N
{"title":"Survey of healthcare-associated sink infrastructure, and sink trap antibiotic residues and biochemistry, in 29 UK hospitals.","authors":"Rodger G, Chau K, Aranega Bou P, Moore G, Roohi A, Walker As, Stoesser N","doi":"10.1016/j.jhin.2025.02.002","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Hospital sinks are linked to healthcare-associated infections. Antibiotics and chemicals in sink traps can select for pathogens and antimicrobial resistance (AMR). Optimising sink design and usage can mitigate sink-to-patient dissemination of pathogens, but large-scale surveys of hospital sink infrastructure are lacking.</p><p><strong>Methods: </strong>Twenty-nine UK hospitals submitted photos and metadata for sinks across three wards (ICU/medical/surgical; January-March 2023). Photos were used to classify sink design as \"optimal\" according to guidelines and published studies. Sink trap aspirates were dipstick-tested for antibiotics and chemistry. Logistic regression was used to characterise associations of ward type and sink location with optimal sink design or detectable trap antibiotics.</p><p><strong>Results: </strong>Of 287 sinks surveyed 111 were in ICUs, 92 in medical wards and 84 in surgical wards; 77 were in medicines/drug preparation rooms, 97 on patient bays, 25 in patient side-rooms and 88 in sluice rooms. Sink-to-bed ratios ranged from 0.23-2.83 sinks/patient bed and were higher on ICUs (1.21 versus 0.82 and 0.84 on medical and surgical wards, respectively; p-value=0.04). The median sink-to-patient distance was 1.5m (IQR: 1.00-2.21m). Sink design varied widely; it was deemed \"optimal\" for 65/122 (53%) sinks in patient bays/side-rooms and \"optimal\" design was associated with side-room location (p-value=0.04). Antibiotics were detected in 95/287 (33%) sink traps and were associated with medicines/drug preparation rooms (p<0.001). Sink trap chemicals detected included metals, chlorine, and fluoride.</p><p><strong>Conclusions: </strong>Sinks are common in hospitals, frequently close to patients, and often sub-optimally designed. Commonly used antibiotics were detected in a third of sink traps and may contribute to the selection of pathogens and AMR in these reservoirs, and subsequent transmission to patients.</p>","PeriodicalId":54806,"journal":{"name":"Journal of Hospital Infection","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospital Infection","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jhin.2025.02.002","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Hospital sinks are linked to healthcare-associated infections. Antibiotics and chemicals in sink traps can select for pathogens and antimicrobial resistance (AMR). Optimising sink design and usage can mitigate sink-to-patient dissemination of pathogens, but large-scale surveys of hospital sink infrastructure are lacking.
Methods: Twenty-nine UK hospitals submitted photos and metadata for sinks across three wards (ICU/medical/surgical; January-March 2023). Photos were used to classify sink design as "optimal" according to guidelines and published studies. Sink trap aspirates were dipstick-tested for antibiotics and chemistry. Logistic regression was used to characterise associations of ward type and sink location with optimal sink design or detectable trap antibiotics.
Results: Of 287 sinks surveyed 111 were in ICUs, 92 in medical wards and 84 in surgical wards; 77 were in medicines/drug preparation rooms, 97 on patient bays, 25 in patient side-rooms and 88 in sluice rooms. Sink-to-bed ratios ranged from 0.23-2.83 sinks/patient bed and were higher on ICUs (1.21 versus 0.82 and 0.84 on medical and surgical wards, respectively; p-value=0.04). The median sink-to-patient distance was 1.5m (IQR: 1.00-2.21m). Sink design varied widely; it was deemed "optimal" for 65/122 (53%) sinks in patient bays/side-rooms and "optimal" design was associated with side-room location (p-value=0.04). Antibiotics were detected in 95/287 (33%) sink traps and were associated with medicines/drug preparation rooms (p<0.001). Sink trap chemicals detected included metals, chlorine, and fluoride.
Conclusions: Sinks are common in hospitals, frequently close to patients, and often sub-optimally designed. Commonly used antibiotics were detected in a third of sink traps and may contribute to the selection of pathogens and AMR in these reservoirs, and subsequent transmission to patients.
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.