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Na#onalCenterforInjuryPreven#onandControl
UsingFederalDatatoOp#mizeandInformPreven#onProgramsandResearch
MickBallesteros,PhDBranchChiefSta#s#cs,Programming,andEconomicsBranchDivisionofAnalysis,Research,andPrac#ceIntegra#onNa#onalCenterforInjuryPreven#onandControlCentersforDiseaseControlandPreven#on
3rdAnnualInjuryPreven0onCoordinatorsSymposiumMay15,2017
InventoryofNa#onalInjuryDataSystemshAps://www.cdc.gov/injury/wisqars/InventoryInjuryDataSys.html
BehavioralRiskFactorSurveillanceSystem(BRFSS)
BehavioralRiskFactorSurveillanceSystem(BRFSS)§ CDC’sChronicDiseaseCenter(NCCDPHP)§ Scope:Startedin1984;na0onwidein1993;now50states,DC,andseveralUSterritories§ Methods
– Telephone(landandcell)interviews(>500,000/year)– U.S.adults18yearsandolder– FixedCore,rota0ngcore,op0onalmodulesforself-reportedhealthbehaviors
§ Access– Publicusedatafiles(1984-2015)(
hAps://www.cdc.gov/brfss/annual_data/annual_data.htm)– Onlinequerying(hAps://www.cdc.gov/brfss/data_tools.htm)
• PrevalenceandTrends• Crosstabula0onsandsomeregressioncapabili0es
BRFSSInjuryQues#ons§ CoreQues0ons
– DrinkandDrive(2010,2012,2014)– SeatBeltUse(2011-2015)
§ RecentOp0onalModules– AdverseChildhoodExperiences(2004,2009-2012)– CarbonMonoxideDetectors(2009)– In0matePartnerViolence(2005-2007)– SexualViolence(2005-2007)– Residen0alFires(2003)
§ Datafrom2012BRFSS
§ Prevalenceoffallinginpast12monthssignificantlyhigheramongadultswitharthri0s.
§ Among>45yearswitharthri0s,46statesandDCfallprevalence>30%and16states>40%
Ref:MMWR.2014;63(17):379-383.
YouthRiskBehaviorSurveillanceSystem(YRBSS)
YouthRiskBehaviorSurveillanceSystem(YRBSS)§ CDC’sChronicDiseaseCenter(NCCDPHP)§ Scope
– Developedin1990;Na0onaldatacollec0on;Somerepresenta0veState-leveldataavailable;Someci0esalsoavailable
§ Methods– Schoolbasedsurvey– 9ththrough12thgradestudents(publicandprivateschools)– Na0onalsample>15,000students
§ Access– Publicusedatafiles(1993-2015)(
hAps://www.cdc.gov/healthyyouth/data/yrbs/data.htm)– Onlinequerying(hAps://nccd.cdc.gov/youthonline/App/Default.aspx)
YRBSSInjuryQues#ons§ Uninten0onalInjuries
– Usedbicyclehelmets– Usesseatbelts– Rodewithdriverwhohadbeen
drinking– Drinkanddrive– Textedwhiledrivingcar
§ Violence– Carriedweapon,gun– Threatenedorinjuredwith
weapononschoolproperty– Wasinphysicalfight,injured
– Feltunsafetogotoschool– Waselectronicallybullied– Experiencedphysicalorsexualda0ng
violence§ Suicide-Related
– Feltsadorhopeless– SeriouslyconsideredaAemp0ngsuicide– Madeaplanforsuicide– AAemptedsuicide– AAemptedsuicidethatresultedin
injury,poisoning,oroverdose
Any TWD in past 30 days (>1d) % (95% CI)
TWD every day (30d) % (95% CI)
Overall (n=8,505)
45.5 (40.8-48.2) 11.5 (10.1-13.1)
Age (years) 16 17
>18
32.6 (28.8-36.6) 50.0 (44.9-55.1) 57.7 (53.6-61.7)
7.4 (5.9-9.3)
12.3 (10.5-14.5) 18.1 (15.4-21.2)
Sex Female
Male
42.3 (38.0-46.8) 46.4 (42.8-50.0)
10.3 (8.5-12.3) 12.6 (11.2-14.2)
Race/ethnicity White*
Black*
Hispanic
50.7 (45.8-55.6) 30.1 (25.1-35.6) 38.8 (35.8-41.9)
13.0 (11.2-15.0) 8.6 (6.9-10.6) 9.9 (8.3-11.8) *Non-Hispanic
2011Na0onalYRBSData
Ref:Pediatrics.2013:131:e1708-e1715
FatalAccidentRepor#ngSystem(FARS)
FatalAccidentRepor#ngSystem(FARS)§ RunbytheNa0onalHighwayTrafficSafetyAdministra0on(NHTSA-DOT)§ Scope
– Establishedin1975– CensusofallMVcrashesonpublicroadsthatresultedinatleast1deathwithin50
states,DCandPuertoRico§ Methods
– StatescompileandreportdatatoNHTSA– Datasources:PoliceReports,VehicleReg.files,DriverLicensefiles,StateHighway
Depart.data,vitalrecords/deathcer0ficates,coroner/MEreports,EMSreports§ Access
– PublicusedatafilesfromFTPsite(kp://kp.nhtsa.dot.gov/fars/)– Onlinequerying(hAps://www-fars.nhtsa.dot.gov//QueryTool/QuerySec0on/SelectYear.aspx)
FARSCrashInforma#onCollected§ Crash
– Date,0me,loca0on– Weathercondi0ons
§ Vehicles– Make,model,year,body
type– Impactpoints– Numberofoccupants– Sequenceofevents
§ PeopleInvolved– Driver
• Registra0onstate• Licensetypeandstatus• Previousviola0ons
– Occupants• Age,sex• Sea0ngposi0on• Restraintuse• Alcohol/druginvolvement• Injuryseverity
– Bicyclists/pedestrians
Ref:MMWR.2014;63(5):113-118.
Na#onalViolentDeathRepor#ngSystem(NVDRS)
Na#onalViolentDeathRepor#ngSystem(NVDRS)§ NCIPC(InjuryCenter)atCDC§ Scope
– 2000:pilot– 2003:Datacollec0onbeginswith6states– 2014:32statestotal– 2016:8addi0onalstates,DC,andPuertoRicoadded
IA
ME
WA
CA
NV
AZ
NE
KS
LA
MN
MI IL
MO
AL
IN
WV
NY
CurrentNVDRSStates
OR
AK
CO
GA
MD
MA
NJ
NCOK
RI
SC
VA
WI
UTKY
NM2002
2003
2004
2009
2014
2016
OH
HI
NH
CT
VT
PA
PR
DC DE
Na#onalViolentDeathRepor#ngSystem(NVDRS)§ Methods
– Ac0ve,ongoingstate-basedsurveillancesystem– Informa0onabstractedusingaweb-basedapplica0on– Providescomprehensiveinforma0ononviolentdeathswithinpar0cipa0ngstatestofully
characterizeincidents§ Primaryrequireddatasources:
– Deathcer0ficates– Coronerormedicalexaminer(CME)reports(includingtoxicology)(havenarra0ves)– Lawenforcement(LE)reports(havenarra0ves)
§ Secondaryop0onaldatasources:– ChildFatalityReview(CFR)teamdata– In0matePartnerViolence(IPV)Reviewteamdata– Crimelabdata– SupplementaryHomicideReports– Hospitaldata
Na#onalViolentDeathRepor#ngSystem(NVDRS)§ Access
– OnlinequeryingthroughWISQARS(hAps://www.cdc.gov/injury/wisqars/)– RestrictedAccessDatabaseavailableuponrequest(
hAps://www.cdc.gov/violencepreven0on/nvdrs/rad.html)
SurveillanceforViolentDeaths–NVDRS,17States,2013BHLyons,KAFowler,SPDJack,CJBetz,JMBlairBHLyons,KAFowler,SPDJack,CJBetz,JMBlair
Male Female Total
Method Firearm
Hanging/Suffocation Poisoning
n=9,876 57% 25% 10%
n=2,869 32% 24% 35%
N=12,747 51% 25% 16%
Diagnosed Mental Health Problem Depression
Anxiety disorder Bipolar disorder
n=3,572 72% 14% 12%
n=1,632 76% 18% 17%
N=5,204 73% 15% 14%
Type of Recent Crisis Intimate Partner
Criminal Legal Physical Health
Family Relationship
n=2,929 44% 15% 13% 8%
n=715 39% 7%
12% 14%
N=3,644 43% 14% 13% 9%
LeadingKeyCircumstancesSuicideDeathsbyDecedent’sSex
Ref:MMWRSurveillanceSummaries.2016;65(10):113-118.
InjuryDeaths:Na#onalVitalSta#s#csSystem(DeathCer#ficateData)
Na#onalVitalSta#s#csSystem(DeathCer#ficateData)§ CDC’sNa0onalCenterforHealthSta0s0cs§ Scope
– Censusofalldeathcer0ficatesforU.S.residents§ Methods
– StatessendtoNCHS,crea0onofna0onaldatabase– Singleunderlyingcauseofdeath
• Upto20addi0onalmul0plecauses• 1999-present:ICD-10coded
– Age,race,ethnicity– Placeofresidence(state,county)– Placeofdeath,monthandweekdayofdeath– Whetheranautopsywasperformed
Na#onalVitalSta#s#csSystem(DeathCer#ficateData)§ Access
– Publicusedatafiles(1968-2015)hAps://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm#Mortality_Mul0ple
– Onlinequerying• WISQARS• WONDERhAps://wonder.cdc.gov/
Ref:MMWR.2017;66(10):270-273.
Non-fatalInjuriesNa#onalElectronicInjurySurveillanceSystem–AllInjuryProgram(NEISS-AIP)Useforsec0onheaders
Na#onalElectronicInjurySurveillanceSystem–AllInjuryProgram(NEISS-AIP)
§ U.S.ConsumerProductSafetyCommission(CPSC)andCDC’sInjuryCenter(NCIPC)§ Scope
– Na0onalEs0matesofInjury-relatedEmergencyDepartmentVisitsandHospitaliza0ons§ Methods
– NEISS-AIPStartedin2000– First0me,injury-relatedvisitsonalltypesandcausesofinjuries
• Injurieswherenoproductismen0oned(e.g.,fellonground)• Injuriesrelatedtoproductsnotcurrentlycollected
(e.g.,motorvehicles)• Inten0onalinjuries;assaultsorsuicideaAempts
– Na0onallyrepresenta0vesampleof66of100NEISSU.S.hospitalswith>6bedsandanED
NEISS All Injury Program Hospitals
Lanham, MD
Patchogue, NY
Santurce, PR
Very Large Hospitals
Large Hospitals
Medium Hospitals
Small Hospitals
Children’s Hospitals
Data Source: U.S. CPSC
Pittsfield, MA
Bridgeton, NJ
Claremont, NH
Brooklyn, NY
New York, NY
Rockville, MD
Yale, CT
Bronx, NY
Na#onalElectronicInjurySurveillanceSystem–AllInjuryProgram(NEISS-AIP)
§ Methods– Approximately500,000casesperyear($3.40USDpercase)– Dedicatedcodersabstractmedicalrecords– Extensivetrainingandqualityassurancemeasureswithbothautomatedandvisual
edits– Dataonmechanismandintentofinjury
§ Access– Publicusedatasets(hAps://www.icpsr.umich.edu/icpsrweb/ICPSR/series/198)– Onlinequerying
• WISQARS
TrendsinSports-andRecrea#on-RelatedTrauma#cBrainInjuriesTreatedinU.S.EmergencyDepartments:NEISS-AIP2001-2012VCoronado,THaileyesus,TCheng,JBell,JHaarbauer-Krupa,MLionbarger,JFlores-Herrara,LMcGuire,JGilchrist
Ref:JHeadTraumaRehabil.2015.30(3):185-197
Web-basedInjurySta#s#csQueryandRepor#ngSystem
hbps://www.cdc.gov/injury/wisqars
Data:NVSS
Data:NVSSData:NEISS-AIP
Data:NVDRS
Data:NVSS,NEISS-AIP
Medical $79,025,584,000
Work Loss $126,145,699,000
Total Cost $205,171,282,000
Uninten#onalFalls,AllAges,UnitedStates,2015
WISQARSUpdatesandEnhancements
Formoreinforma0on,contactCDC1-800-CDC-INFO(232-4636)TTY:1-888-232-6348www.cdc.govThefindingsandconclusionsinthisreportarethoseoftheauthorsanddonotnecessarilyrepresenttheofficialposi0onoftheCentersforDiseaseControlandPreven0on.
Thankyou!ContactInfo:[email protected]