The Validity of Chief Complaint and Discharge Diagnosis in Emergency Department–based Syndromic Surveillance

Objective: Emergency department (ED)–based syndromic surveillance systems are being used by public health departments to monitor for outbreaks of infectious diseases, including bioterrorism; however, few systems have been validated. The authors evaluated a “drop‐in” syndromic surveillance system by...

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Veröffentlicht in:Academic emergency medicine 2004-12, Vol.11 (12), p.1262-1267
Hauptverfasser: Fleischauer, Aaron T., Silk, Benjamin J., Schumacher, Mare, Komatsu, Ken, Santana, Sarah, Vaz, Victorio, Wolfe, Mitchell, Hutwagner, Lori, Cono, Joanne, Berkelman, Ruth, Treadwell, Tracee
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container_end_page 1267
container_issue 12
container_start_page 1262
container_title Academic emergency medicine
container_volume 11
creator Fleischauer, Aaron T.
Silk, Benjamin J.
Schumacher, Mare
Komatsu, Ken
Santana, Sarah
Vaz, Victorio
Wolfe, Mitchell
Hutwagner, Lori
Cono, Joanne
Berkelman, Ruth
Treadwell, Tracee
description Objective: Emergency department (ED)–based syndromic surveillance systems are being used by public health departments to monitor for outbreaks of infectious diseases, including bioterrorism; however, few systems have been validated. The authors evaluated a “drop‐in” syndromic surveillance system by comparing syndrome categorization in the ED with chief complaints and ED discharge diagnoses from medical record review. Methods: A surveillance form was completed for each ED visit at 15 participating Arizona hospitals between October 27 and November 18, 2001. Each patient visit was assigned one of ten clinical syndromes or “none.” For six of 15 EDs, κ statistics were used to compare syndrome agreement between surveillance forms and syndrome categorization with chief complaint and ED discharge diagnosis from medical record review. Results: Overall, agreement between surveillance forms and ED discharge diagnoses (κ= 0.55; 95% confidence interval [CI] = 0.52 to 0.59) was significantly higher than between surveillance forms and chief complaints (κ= 0.48; 95% CI = 0.44 to 0.52). Agreement between chief complaints and ED discharge diagnoses was poor for respiratory tract infection with fever (κ= 0.33; 95% CI = 0.27 to 0.39). Furthermore, pediatric chief complaints showed lower agreement for respiratory tract infection with fever when compared with adults (κ= 0.34 [95% CI = 0.20 to 0.47] vs. κ= 0.44 [95% CI = 0.28 to 0.59], respectively). Conclusions: In general, this syndromic surveillance system classified patients into appropriate syndrome categories with fair to good agreement compared with chief complaints and discharge diagnoses. The present findings suggest that use of ED discharge diagnoses, in addition to or instead of chief complaints, may increase surveillance validity for both automated and drop‐in syndromic surveillance systems.
doi_str_mv 10.1197/j.aem.2004.07.013
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The authors evaluated a “drop‐in” syndromic surveillance system by comparing syndrome categorization in the ED with chief complaints and ED discharge diagnoses from medical record review. Methods: A surveillance form was completed for each ED visit at 15 participating Arizona hospitals between October 27 and November 18, 2001. Each patient visit was assigned one of ten clinical syndromes or “none.” For six of 15 EDs, κ statistics were used to compare syndrome agreement between surveillance forms and syndrome categorization with chief complaint and ED discharge diagnosis from medical record review. Results: Overall, agreement between surveillance forms and ED discharge diagnoses (κ= 0.55; 95% confidence interval [CI] = 0.52 to 0.59) was significantly higher than between surveillance forms and chief complaints (κ= 0.48; 95% CI = 0.44 to 0.52). Agreement between chief complaints and ED discharge diagnoses was poor for respiratory tract infection with fever (κ= 0.33; 95% CI = 0.27 to 0.39). Furthermore, pediatric chief complaints showed lower agreement for respiratory tract infection with fever when compared with adults (κ= 0.34 [95% CI = 0.20 to 0.47] vs. κ= 0.44 [95% CI = 0.28 to 0.59], respectively). Conclusions: In general, this syndromic surveillance system classified patients into appropriate syndrome categories with fair to good agreement compared with chief complaints and discharge diagnoses. The present findings suggest that use of ED discharge diagnoses, in addition to or instead of chief complaints, may increase surveillance validity for both automated and drop‐in syndromic surveillance systems.</description><identifier>ISSN: 1069-6563</identifier><identifier>EISSN: 1553-2712</identifier><identifier>DOI: 10.1197/j.aem.2004.07.013</identifier><identifier>PMID: 15576514</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adult ; Age Factors ; Arizona ; Bioterrorism - prevention &amp; control ; bioterrorism preparedness ; chief complaint ; Child ; Communicable Diseases - classification ; Communicable Diseases - diagnosis ; Confidence Intervals ; discharge diagnosis ; emergency departments ; Emergency Service, Hospital - organization &amp; administration ; evaluation ; Humans ; Medical Records ; Observer Variation ; Patient Discharge ; Population Surveillance - methods ; Reproducibility of Results ; Respiratory Tract Infections - classification ; Respiratory Tract Infections - diagnosis ; Syndrome ; syndromic surveillance</subject><ispartof>Academic emergency medicine, 2004-12, Vol.11 (12), p.1262-1267</ispartof><rights>2004 Society for Academic Emergency Medicine</rights><rights>Copyright Hanley &amp; Belfus, Inc. 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Agreement between chief complaints and ED discharge diagnoses was poor for respiratory tract infection with fever (κ= 0.33; 95% CI = 0.27 to 0.39). Furthermore, pediatric chief complaints showed lower agreement for respiratory tract infection with fever when compared with adults (κ= 0.34 [95% CI = 0.20 to 0.47] vs. κ= 0.44 [95% CI = 0.28 to 0.59], respectively). Conclusions: In general, this syndromic surveillance system classified patients into appropriate syndrome categories with fair to good agreement compared with chief complaints and discharge diagnoses. 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The authors evaluated a “drop‐in” syndromic surveillance system by comparing syndrome categorization in the ED with chief complaints and ED discharge diagnoses from medical record review. Methods: A surveillance form was completed for each ED visit at 15 participating Arizona hospitals between October 27 and November 18, 2001. Each patient visit was assigned one of ten clinical syndromes or “none.” For six of 15 EDs, κ statistics were used to compare syndrome agreement between surveillance forms and syndrome categorization with chief complaint and ED discharge diagnosis from medical record review. Results: Overall, agreement between surveillance forms and ED discharge diagnoses (κ= 0.55; 95% confidence interval [CI] = 0.52 to 0.59) was significantly higher than between surveillance forms and chief complaints (κ= 0.48; 95% CI = 0.44 to 0.52). Agreement between chief complaints and ED discharge diagnoses was poor for respiratory tract infection with fever (κ= 0.33; 95% CI = 0.27 to 0.39). Furthermore, pediatric chief complaints showed lower agreement for respiratory tract infection with fever when compared with adults (κ= 0.34 [95% CI = 0.20 to 0.47] vs. κ= 0.44 [95% CI = 0.28 to 0.59], respectively). Conclusions: In general, this syndromic surveillance system classified patients into appropriate syndrome categories with fair to good agreement compared with chief complaints and discharge diagnoses. The present findings suggest that use of ED discharge diagnoses, in addition to or instead of chief complaints, may increase surveillance validity for both automated and drop‐in syndromic surveillance systems.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>15576514</pmid><doi>10.1197/j.aem.2004.07.013</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Age Factors
Arizona
Bioterrorism - prevention & control
bioterrorism preparedness
chief complaint
Child
Communicable Diseases - classification
Communicable Diseases - diagnosis
Confidence Intervals
discharge diagnosis
emergency departments
Emergency Service, Hospital - organization & administration
evaluation
Humans
Medical Records
Observer Variation
Patient Discharge
Population Surveillance - methods
Reproducibility of Results
Respiratory Tract Infections - classification
Respiratory Tract Infections - diagnosis
Syndrome
syndromic surveillance
title The Validity of Chief Complaint and Discharge Diagnosis in Emergency Department–based Syndromic Surveillance
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