tetano
Editor, Senior Moderator
Am J Public Health. 2013 Nov 14. [Epub ahead of print]
Description of a School Nurse Visit Syndromic Surveillance System and Comparison to Emergency Department Visits, New York City.
Wilson EL, Egger JR, Konty KJ, Paladini M, Weiss D, Nguyen TQ.
Source
Elisha L. Wilson, Marc Paladini, Don Weiss, and Trang Q. Nguyen are with the Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Queens, NY. Joseph R. Egger and Kevin J. Konty are with the Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene.
Abstract
Objectives. We compared school nurse visit syndromic surveillance system data to emergency department (ED) visit data for monitoring illness in New York City schoolchildren. Methods. School nurse visit data recorded in an electronic health record system are used to conduct daily surveillance of influenza-like illness, fever-flu, allergy, asthma, diarrhea, and vomiting syndromes. We calculated correlation coefficients to compare the percentage of syndrome visits to the school nurse and ED for children aged 5 to 14 years, from September 2006 to June 2011. Results. Trends in influenza-like illness correlated significantly (correlation coefficient = 0.89; P < .001) and 72% of school signals occurred on days that ED signaled. Trends in allergy (correlation coefficient = 0.73; P < .001) and asthma (correlation coefficient = 0.56; P < .001) also correlated and school signals overlapped with ED signals on 95% and 51% of days, respectively. Substantial daily variation in diarrhea and vomiting visits limited our ability to make comparisons. Conclusions. Compared with ED syndromic surveillance, the school nurse system identified similar trends in influenza-like illness, allergy, and asthma syndromes. Public health practitioners without school-based surveillance may be able to use age-specific analyses of ED syndromic surveillance data to monitor illness in schoolchildren. (Am J Public Health. Published online ahead of print November 14, 2013: e1-e7. doi:10.2105/AJPH.2013.301411).
PMID:
24228684
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24228684
Description of a School Nurse Visit Syndromic Surveillance System and Comparison to Emergency Department Visits, New York City.
Wilson EL, Egger JR, Konty KJ, Paladini M, Weiss D, Nguyen TQ.
Source
Elisha L. Wilson, Marc Paladini, Don Weiss, and Trang Q. Nguyen are with the Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Queens, NY. Joseph R. Egger and Kevin J. Konty are with the Bureau of Epidemiology Services, New York City Department of Health and Mental Hygiene.
Abstract
Objectives. We compared school nurse visit syndromic surveillance system data to emergency department (ED) visit data for monitoring illness in New York City schoolchildren. Methods. School nurse visit data recorded in an electronic health record system are used to conduct daily surveillance of influenza-like illness, fever-flu, allergy, asthma, diarrhea, and vomiting syndromes. We calculated correlation coefficients to compare the percentage of syndrome visits to the school nurse and ED for children aged 5 to 14 years, from September 2006 to June 2011. Results. Trends in influenza-like illness correlated significantly (correlation coefficient = 0.89; P < .001) and 72% of school signals occurred on days that ED signaled. Trends in allergy (correlation coefficient = 0.73; P < .001) and asthma (correlation coefficient = 0.56; P < .001) also correlated and school signals overlapped with ED signals on 95% and 51% of days, respectively. Substantial daily variation in diarrhea and vomiting visits limited our ability to make comparisons. Conclusions. Compared with ED syndromic surveillance, the school nurse system identified similar trends in influenza-like illness, allergy, and asthma syndromes. Public health practitioners without school-based surveillance may be able to use age-specific analyses of ED syndromic surveillance data to monitor illness in schoolchildren. (Am J Public Health. Published online ahead of print November 14, 2013: e1-e7. doi:10.2105/AJPH.2013.301411).
PMID:
24228684
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/24228684