Evaluating the quality of outbreak reports on health care-associated infections in São Paulo, Brazil, during 2000-2010 using the ORION statement findings and recommendations

Maciel, Amanda Luiz Pires; Assis, Denise Brandão de; Madalosso, Geraldine; Padoveze, Maria Clara

doi:10.1016/j.ajic.2013.12.017

Cited by 12 publications

(8 citation statements)

References 54 publications

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“…if IPCTs are redirected to counting and reporting HAOs, their capability for HAO: PPDM will be compromised. With regard to completeness of national mandatory surveillance, one team in Brazil investigated the effectiveness of their system and found that only 15/87 (17%) of HAO had been officially reported (other HAOs were identified from literature searches and conference papers) (Maciel et al, 2014).…”

Section: Can Existing National Surveillance Systems Detect Outbreaks?mentioning

confidence: 99%

Outbreak column 18: The undervalued work of outbreak: prevention, preparedness, detection and management

Curran

Dalziel

2015

Journal of Infection Prevention

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There are oft-quoted studies which advise that between 1% and 10% of healthcare-associated infections (HAIs) present as healthcare-associated outbreaks (HAOs). Examination of these studies showed they lacked validity due to a low sensitivity to detect HAO, and because they pre-date both advanced healthcare systems and the emergence of recent nosocomial pathogen challenges. The accepted inference: that as there are so few HAOs the focus of surveillance programmes should be on endemic and not epidemic infections (outbreaks), is therefore called into question.Current estimates of HAI burden are derived from Point Prevalence Surveys (PPS) which are neither designed to nor are capable of detecting HAOs. We considered the extensive Infection Prevention and Control Team (IPCT) work to prevent and prepare for perennial and novel HAOs and suggest that at present this endeavour is largely unseen, underestimated and undervalued.Any HAI burden estimate needs to comprise a more complete HAI summary than PPS data. This can only be done with a more inclusive surveillance system that has a wider focus than just prevalent infections. There is a real risk of redirection of the IPCT resource from outbreak prevention and preparedness work towards HAI that are counted: such a change could only further increase HAO risks.

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Section: Can Existing National Surveillance Systems Detect Outbreaks?mentioning

confidence: 99%

Outbreak column 18: The undervalued work of outbreak: prevention, preparedness, detection and management

Curran

Dalziel

2015

Journal of Infection Prevention

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“…Healthcare-associated infections (HCAIs) lead to poor clinical outcomes and death [1]. In high-income countries HCAIs affect approximately 5e15% of patients, whereas in lowincome countries prevalence rates are in the region of 15e19% [2].…”

Section: Introductionmentioning

confidence: 99%

How to carry out microbiological sampling of healthcare environment surfaces? A review of current evidence

Rawlinson

Ciric

Cloutman-Green

2019

Journal of Hospital Infection

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There is increasing evidence that the hospital surface environment contributes to the spread of pathogens. However, evidence on how best to sample these surfaces is inconsistent and there is no guidance or legislation in place on how to do this. The aim of this review was to assess current literature on surface sampling methodologies, including the devices used, processing methods, and the environmental and biological factors that might influence results. Studies published prior to March 2019 were selected using relevant keywords from ScienceDirect, Web of Science, and PubMed. Abstracts were reviewed and all data-based studies in peer-reviewed journals in the English language were included. Microbiological air and water sampling in the hospital environment were not included. Although the numbers of cells or virions recovered from hospital surface environments were generally low, the majority of surfaces sampled were microbiologically contaminated. Of the organisms detected, multidrug-resistant organisms and clinically significant pathogens were frequently isolated and could, therefore, present a risk to vulnerable patients. Great variation was found between methods and the available data were incomplete and incomparable. Available literature on sampling methods demonstrated deficits with potential improvements for future research. Many of the studies included in the review were laboratory-based and not undertaken in the real hospital environment where sampling recoveries could be affected by the many variables present in a clinical environment. It was therefore difficult to draw overall conclusions; however, some recommendations for the design of routine protocols for surface sampling of healthcare environments can be made.

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“…1 Patients who are particularly susceptible to HAIs include those with severe underlying disease, long hospital stays, old age, and admission to intensive care units. 2 It is estimated that of the HAIs developed within intensive care unit settings, 20% are potentially due to environmental contamination.…”

mentioning

confidence: 99%

Development and implementation of a cleaning standard algorithm to monitor the efficiency of terminal cleaning in removing adenovirus within a pediatric hematopoietic stem cell transplantation unit

Cloutman-Green

Canales

Pankhurst

et al. 2015

American Journal of Infection Control

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Evaluating the quality of outbreak reports on health care-associated infections in São Paulo, Brazil, during 2000-2010 using the ORION statement findings and recommendations

Cited by 12 publications

References 54 publications

Outbreak column 18: The undervalued work of outbreak: prevention, preparedness, detection and management

Outbreak column 18: The undervalued work of outbreak: prevention, preparedness, detection and management

How to carry out microbiological sampling of healthcare environment surfaces? A review of current evidence

Development and implementation of a cleaning standard algorithm to monitor the efficiency of terminal cleaning in removing adenovirus within a pediatric hematopoietic stem cell transplantation unit

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