Outbreak column 18: The undervalued work of outbreak: prevention, preparedness, detection and management
Identifieur interne : 000931 ( Main/Exploration ); précédent : 000930; suivant : 000932Outbreak column 18: The undervalued work of outbreak: prevention, preparedness, detection and management
Auteurs : Evonne T. Curran [Royaume-Uni] ; Catherine E. Dalziel [Royaume-Uni]Source :
- Journal of Infection Prevention [ 1757-1774 ] ; 2015.
Abstract
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.
Url:
DOI: 10.1177/1757177415599592
PubMed: 28989442
PubMed Central: 5074162
Affiliations:
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Curran</name><affiliation wicri:level="1"><nlm:aff id="aff1-1757177415599592">Consultant Nurse Infection Control, Health Protection Scotland, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Consultant Nurse Infection Control, Health Protection Scotland</wicri:regionArea><wicri:noRegion>Health Protection Scotland</wicri:noRegion></affiliation></author><author><name sortKey="Dalziel, Catherine E" sort="Dalziel, Catherine E" uniqKey="Dalziel C" first="Catherine E" last="Dalziel">Catherine E. Dalziel</name><affiliation wicri:level="1"><nlm:aff id="aff2-1757177415599592">Healthcare Scientist, Health Protection Scotland, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Healthcare Scientist, Health Protection Scotland</wicri:regionArea><wicri:noRegion>Health Protection Scotland</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of Infection Prevention</title><idno type="ISSN">1757-1774</idno><idno type="eISSN">1757-1782</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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.</p><p>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.</p><p>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.</p></div></front></TEI><affiliations><list><country><li>Royaume-Uni</li></country></list><tree><country name="Royaume-Uni"><noRegion><name sortKey="Curran, Evonne T" sort="Curran, Evonne T" uniqKey="Curran E" first="Evonne T" last="Curran">Evonne T. Curran</name></noRegion><name sortKey="Dalziel, Catherine E" sort="Dalziel, Catherine E" uniqKey="Dalziel C" first="Catherine E" last="Dalziel">Catherine E. Dalziel</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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