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National Violent Death Reporting System (NVDRS): Data Management Challenges and Solutions December 12, 2005. Malinda Steenkamp, M.Phil; Nikolay Lipskiy, Dr.PH (presenter); Division of Violence Prevention National Center for Injury Prevention and Control
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National Violent DeathReporting System (NVDRS): Data Management Challenges and SolutionsDecember 12, 2005 Malinda Steenkamp, M.Phil; Nikolay Lipskiy, Dr.PH (presenter); Division of Violence Prevention National Center for Injury Prevention and Control Centers for Disease Control and Prevention
NVDRS Vision: Reduce and prevent the occurrence of violent deaths in the US through the provision of accurate, timely and comprehensive surveillance data. NVDRS Goals: • Collect and analyze timely, high-quality data for monitoring the magnitude and characteristics of violent deaths at the national, state, and local levels • Ensure that violent death data are routinely and expeditiously disseminated to public health officials, law enforcement officials, policy makers and the public • Provide data for developing, implementing and evaluating strategies, programs and policies designed to prevent violent deaths and injuries at the national, state and local levels • Build and strengthen partnerships with organizations and communities at the national, state, and local levels to ensure that data are collected and used to reduce and prevent violent deaths and injuries • Expand the National Violent Death Reporting System into all 50 states, the District of Columbia and US territories
NVDRS States as of July, 2005 FY 02 (6 states) FY 03 (7 states) FY 04 (4 states)
NVDRS Data Sources • Primary sources: • Death Certificates (DC) • Coroner/Medical Examiner (C/ME) Records • Police Records (PR) • Crime Lab Data (Lab) • Secondary, optional sources: • Child Fatality Review Team Data (CFR) • Supplementary Homicide Reports (SHR) • Hospital (HOSP) Data • Emergency Department (ED) Data • Alcohol Tobacco, Firearms and Explosives (ATF) Trace Information on Firearms
National Violent Death Reporting System NVDRS collects data on all violent deaths • Suicides (including terrorism-related deaths) • Homicides (including terrorism-related deaths) • Legal intervention • Some others: • Deaths of undetermined intent • Deaths due to unintentional firearm injury • Excluded: acts of war and legal executions Case initiation: Abstractors initiate cases through analysis of the source specific manners of deaths, w/o ICD-10 codes
Operational Definition: ICD-10 Codes that Define NVDRS Cases Excluded: acts of war and legal executions
How Does NVDRS Work? NVDRS (CDC) Software contractor Med. Exam/ Coroner Case Info (- identifiers) Vital Records (Death certificate) Crime Lab Disseminate findings and data in various ways State VDRS (17 states) Law enforcement (Police reports) (SHR + NIBRS) Also back to providers Other
What Data Are Collected? • Mechanism type • - Firearm • - Poisonings • - Hanging, strangulation, suffocation • Victims: • Demographics • Other personal data (residence, marital status, pregnant, occupation) • Injury event (location, county) • Death (location, manner, cause) • Related factors (toxicology) • Circumstances: • - Suicide/Undetermined deaths • - Homicide • - Unintentional firearms • Person used this weapon to kill • Weapon killed this person • First purchaser • History of abuse • Caretaker • V-P relationship (for all pairs) • Alleged perpetrators: • Demographics
Document table Incident tables SV relationship Person tables PW relationship Weapon tables
NVDRS’ PUD Structure Suspects Incidents Deaths • Person type • Demographics • Pregnancy status • Homeless status • State reporting incident • Type of location where injured • Injured at home/work • Manner of death • ICD-10 manner of death • 358/113/39 cause of death recode • Person attempted suicide after incident • History of abuse • Caretaker of victim • Victim to suspect relationship • Weapon type • Firearm type • Poison type • State reporting incident • Resident incident • Incident type • # of persons in incident • # of weapons • # of deaths • # of suspects • State reporting incident • Person type • Record type • Demographics
Approach To Analyze NVDRS Data • Created 6 data analysis files based on six entities: • Incident • Person (Victims, Suspect/Victims, Suspects) • Weapon • Victim – Suspect Relationship • Person – Weapon Relationship • Document • All files includes linking variables • Site ID, Incident ID • Will also include person ID in future • Files can be combined/merged as needed
Analyzing NVDRS Data • Different ways to identify cases • 5 manners of death (DC, CME, Abstractor, ICD-10, CDC Manner) • At different points in time – completion rates for manner differ (ICD-10 more incomplete for longer) • Abstractor assigned manner is a gateway variable
Analyzing NVDRS Data (cont.) • Need to know that there are gateway variables • Abstractor assigned manner • Person type • Circumstances known • Weapon type (not discussed today) • Need to know how to use these: • Person type • When looking at deaths - Select person types 1 (Victim) and 3 (Suspect/Victim) (Person type 2 = live suspects)
CDC Analysis Variables • Similar variables – multiple sources – combine • Example for sex data element: • Variable comes from four data sources • DC, CME, SHR, PR, • Rule of primacy • Created a CDC analysis variable (combined variable) • Identified by _c (e.g. Sex_C)
Preliminary NVDRS Data:First and Second Data Year *Six states were funded to start data collection in 2003, Alaska was funded to start data collection in 2004, but they chose to go back and also collect data on 2003.
Preliminary NVDRS Results: Injury Event; 2003; 7 States NVDRS, as of March 2005
Preliminary Homicide Results:Victim to Suspect Relationship; 2003; 7 States NVDRS, as of March 2005
Next Steps • Develop strategic planning process incorporating data management tasks • Develop and release 2003 and 2004 PUDs • Incorporate NVDRS into Public Health Information Network (PHIN/NEDSS) • Continue to work on a data aggregation model • Use NVDRS data to guide and enhance violence prevention efforts
Summary NVDRS improves quality and completeness of violent death data through the timely collection and aggregation of multi-source information Major pitfalls data collection and management: - Involvement of different agencies - Need a standardization of data element definitions across all agencies - Thedevelopment and implementation of QA methods for data collection and management, from a multi-source perspective,is a complex problem Major data management challenges: - development of a data management model for the population-based violent death surveillance system - development of a reliable violent death data source for the public health - to grow towards becoming a comprehensive public health measurement tool
For Additional Information, Contact: Malinda Steenkamp, M.Phil NVDRS Senior Advisor (770) 488-4476 Email: Msteenkamp@cdc.gov Nikolay Lipskiy, MPH, MBA, DrPH NVDRS Epidemiologist (770) 488-1306 Email: dgz1@cdc.gov