Nurses' contacts and potential for infectious disease transmission.
Identifieur interne : 000381 ( Main/Curation ); précédent : 000380; suivant : 000382Nurses' contacts and potential for infectious disease transmission.
Auteurs : Helen Bernard [Allemagne] ; Richela Fischer ; Rafael T. Mikolajczyk ; Mirjam Kretzschmar ; Manfred WildnerSource :
- Emerging infectious diseases [ 1080-6059 ] ; 2009.
Descripteurs français
- KwdFr :
- Allemagne, Chirurgie générale, Enquêtes et questionnaires, Facteurs temps, Humains, Infection croisée (transmission), Maladies transmissibles (transmission), Médecine interne, Peau, Personnel infirmier hospitalier, Transmission de maladie infectieuse du patient au professionnel de santé, Traçage des contacts ().
- MESH :
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- MESH :
- geographic : Germany.
- methods : Contact Tracing.
- transmission : Communicable Diseases, Cross Infection.
- General Surgery, Humans, Infectious Disease Transmission, Patient-to-Professional, Internal Medicine, Nursing Staff, Hospital, Skin, Surveys and Questionnaires, Time Factors.
Abstract
Nurses' contacts with potentially infectious persons probably place them at higher risk than the general population for infectious diseases. During an influenza pandemic, illness among nurses might result in staff shortage. We aimed to show the value of individual data from the healthcare sector for mathematical modeling of infectious disease transmission. Using a paper diary approach, we compared nurses' daily contacts (2-way conversation with >2 words or skin-to-skin contact) with those of matched controls from a representative population survey. Nurses (n = 129) reported a median of 40 contacts (85% work related), and controls (n = 129) reported 12 contacts (33% work related). For nurses, 51% of work-related contacts were with patients (74% involving skin-to-skin contact, and 63% lasted < or =15 minutes); 40% were with staff members (29% and 36%, respectively). Our data, used with simulation models, can help predict staff availability and provide information for pandemic preparedness planning.
DOI: 10.3201/eid1509.081475
PubMed: 19788812
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<term>Humains</term>
<term>Infection croisée (transmission)</term>
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<term>Médecine interne</term>
<term>Peau</term>
<term>Personnel infirmier hospitalier</term>
<term>Transmission de maladie infectieuse du patient au professionnel de santé</term>
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<term>Infectious Disease Transmission, Patient-to-Professional</term>
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<front><div type="abstract" xml:lang="en">Nurses' contacts with potentially infectious persons probably place them at higher risk than the general population for infectious diseases. During an influenza pandemic, illness among nurses might result in staff shortage. We aimed to show the value of individual data from the healthcare sector for mathematical modeling of infectious disease transmission. Using a paper diary approach, we compared nurses' daily contacts (2-way conversation with >2 words or skin-to-skin contact) with those of matched controls from a representative population survey. Nurses (n = 129) reported a median of 40 contacts (85% work related), and controls (n = 129) reported 12 contacts (33% work related). For nurses, 51% of work-related contacts were with patients (74% involving skin-to-skin contact, and 63% lasted < or =15 minutes); 40% were with staff members (29% and 36%, respectively). Our data, used with simulation models, can help predict staff availability and provide information for pandemic preparedness planning.</div>
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