Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat...

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Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah

Transcript of Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat...

Page 1: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

Syndrome-Specific School Absenteeism Data for

Public Health Surveillance Shuying Shen, MStat

University of Utah

Page 2: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

SettingDavis County in Utah

Smallest county in Utah, 3rd largest in population.22.6% of the population is between 5-18 years old

(large families)

School district includes 56 elementary, 14 junior high, 8 high schools, 3 alternative schools, and 8 year-round schools.

Page 3: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

Surveillance SystemIn place since fall 2004

Absences reported by homeroom teachers and parents/guardians with:Date, classroom, teacher name, student nameReason for absence (Sick, Other, Unknown)

Entered into District Information System and available in real-time.

Page 4: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

EnhancementTen public elementary schools recruited to

participate as sentinel schools in fall 2007.

Reason for absence expanded into syndrome categories:RespiratoryGIRashOtherUnknown

Page 5: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

ResultsThe most common reason for absence was

unknown (59%), followed by sick (23%) and other (18%).

Other sickness-related absences accounted for 38% of the sick absences, followed by unknown (26%), GI (18%), respiratory (16%), and rash (0.6%).

Respiratory-related absences correlated well with influenza cases reported to UDOH.

Decrease in GI beginning of fall, otherwise stable

Page 6: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

Absence Rate by Reason for Absence

Page 7: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

Absence Rate by Syndrome

Page 8: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

Other ObservationsNumerous schools not recruited used the

enhanced reporting voluntarily.

Requires minimal resource for enhanced reporting

Principals and school nurses very interested in feedback informationHow we compare to ourselvesHow we compare to other schools

Page 9: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

LimitationsData quality needs to be improved

Too many unknowns and others

Page 10: Syndrome-Specific School Absenteeism Data for Public Health Surveillance Shuying Shen, MStat University of Utah.

Potential SolutionsImprove data collection by

Promotion of importance of surveillance to parents/guardians

Implement proactive reporting system for parents/guardians

Statistical modelingMissing data imputation because likely bias in

unknownsAdjustment for misclassification errors using

Bayesian approach