Using Data to Improve Health Services...Sheila Martin April 10, 2017 Why can data help you serve...
Transcript of Using Data to Improve Health Services...Sheila Martin April 10, 2017 Why can data help you serve...
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Using Data to Improve Health Services A workshop for Community Supported Clinics
Charles Rynerson Sheila Martin April 10, 2017
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Whycandatahelpyouserveyourcommunity?
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WorkshopAgenda
• ImportantsourcesofDemographicdata• Importantsourcesofhealthdata• CommunityProfiles:Reviewofdatapointsand
sources• Discussionofcommunityprofiles• Step-by-stepinstrucDonsforobtainingand
mappingsimilardata• Brainstorminganddiscussion
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INTRODUCTIONTODEMOGRAPHICDATASOURCES
CharlesRynerson
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• ShortForm• QuesDonsaskedofallpersonsresidinginU.S.
• Age,Gender,Race/Hispanicorigin,HouseholdrelaDonship,HousingTenure
• 100%DataProducts• LongForm(1940-2000)
• QuesDonsaskedofasampleof1of6HousingUnits;15%ofthepopulaDonin2000• Economic,Social,andHousingInformaDon• Sampledataproducts
DecennialCensus:HistoricalPerspecDve
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2010Census• April1,2010
• An“actualenumeraDon”(The2010Censusaimstocount
allU.S.residents—ciDzensandnon-ciDzensalike)
• Only10ques:onsonthe2010Censusform
NOLONGFORM!
• populaDonandhousingcountsandbasiccharacterisDcs(sex,age,race/ethnicity,householdcomposiDon,
vacant/occupiedandowner/renterunits)
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2010Census:RaceandEthnicity
2000 2010 change
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ACS
UsedatafromtheAmericanCommunitySurveyto
obtaindetaileddemographic,social,economic,and
housingcharacterisDcs,suchasincome,poverty,
employment,andeducaDonalabainment.
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ACS
• Anongoingsurveythatprovidesdataeveryyear
• AsampleofthepopulaDon
• AllACSdataaresurveyes,mates.Tohelpyou
interpretthereliabilityoftheesDmate,the
CensusBureaupublishesamarginoferror
(MOE)foreveryACSesDmate.
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SubjectsIncludedintheSurvey
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ACSTopics:NotableAddiDonsandImprovements
• Disability(newquesDonsintroduced2008)– Hearingdifficulty– Visiondifficulty– CogniDvedifficulty– Ambulatorydifficulty– Self-caredifficulty– Independentlivingdifficulty
• HealthInsurance(2009)• FieldofBachelor’sDegree(2009)
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2013and2014insurancecoverage,Oregon
TotalCivilianNoninst
WithMedicaid/MeansTested
WithMedicaid/MeansTestedAlone
2013 3,893,092 3,322,210 85.3% 570,882 14.7% 662,038 475,3512014 3,931,306 3,548,645 90.3% 382,661 9.7% 897,812 667,749chg. 38,214 226,435 -188,221 235,774 192,398
U.S.CensusBureu,ACS1yearestimates,TableS2701
withInsurance noInsurance
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PopulaDonThresholdsforACSEsDmates
AnnualRelease: September December
1-year estimates
5-year estimates
Areas with 65,000 + people
X X
All Geographic Areas
X
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OneYearACSEsDmatesfor15OregonCounDes
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FiveYearACSEsDmatesforall36OregonCounDes
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Census Geography Hierarchy (with 2010 Statistical Area Criteria)
Revised 10-29-11
• 1,200 to 8,000 population (optimum 4,000) • 480 to 3,200 housing units
• 600 to 3,000 population • 240 to 1,200 housing units
Central axis describes a nesting relationship
• Cities and towns -- incorporated • Census Designated Places (CDPs)
Blocks are not defined by population and are the smallest geographic level
at which data are ever released (Decennial Census, not the ACS)
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CensusGeography• CensusTracts—small,relaDvelypermanentstaDsDcalsubdivisionsofacountyorequivalentarea[usually2,500-8,000people,PDXMSAavg.~4,400]
• BlockGroups(BG)—asubdivisionofCensusTractscontainingaclusterofCensusBlocks[usually600-3,000people,opDmumsize1,500]
• Blocks—smallestgeographicarea;boundedonallsidesbyvisiblefeatures(e.g.streets,streams,railroadtracks)andbyinvisibleboundaries(e.g.city,town,andcountylimits)
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• Place—Places,forthereporDngofcensusdata,includecensusdesignatedplaces(CDP),consolidatedciDes,andincorporatedplaces(ciDes,towns,villages,etc.).
• ZCTA—AZIPCode®tabulaDonarea(ZCTA™)isastaDsDcalgeographicenDtythatapproximatesthedeliveryareaforaU.S.PostalServicefive-digitZIPCode.ZCTAsdonotpreciselydepictZIPCodedeliveryareas,anddonotincludeallZIPCodesusedformaildelivery.
CensusGeography
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ResourcesforDataUsers
• factinder.census.gov-AmericanFactFinder
• hbp://www.census.gov/data/data-tools/cbb.html-
CensusBusinessBuilder
• censusreporter.org
• pdx.edu/prc–PopulaDonResearchCenter
• portlandpulse.org
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INTRODUCTIONTOHEALTHDATASOURCES
SheilaMarDn
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Therearemanysourcesofhealthdata!
• NaDonalCenterforHealthStaDsDcs,CDC• BehavioralRiskFactorsSurveillanceSystem,CDC• NaDonalCenterforHIV/Aids,ViralHepaDDs,STD,andTBPrevenDon
• Claimsdata• CensusBureau,ACSandSAHIE• SafedrinkingwaterinformaDonsystem• EtcetcHowdoweknowwhattouse???
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EvaluaDngtheusefulnessofpotenDalhealthdata
• Whatisthedatasource?• Howarethedatacollected?• Forwhatgeography?• OverwhatDmeperiod?Whathaschanged?• Howcurrentarethedata?Howowenaretheycollectedandwhatisthelagintheirrelease?
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DatacollecDonmethods• AdministraDverecords
– CreatedforanadministraDvepurpose• Claimsdata,taxdata,birthanddeathrecords
• Surveydata– UsuallycollectedspecificallytoansweraresearchquesDon
– Mayhaveproblemswithresponseratesanddatareliability
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QuesDonstoaskaboutsurveydata
• Whoisbeingsurveyed(whatistheuniverse)?• Whatpercentageoftheuniverseissampled?• Whatisthesamplingmethod(phone,mail,web)?
• Whatkindofsamplingbiasmightbeintroducedbythesamplingmethod?
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Keyhealthdatasources• Vitalrecords(birthsanddeaths)
– NaDonalCenterforHealthStaDsDcsorthestatehealthdepartment
– Canbeusedtocalculateprematuredeath,causeofdeath,lowbirthweightbabies,teenbirths.
• BehavioralRiskFactorSurveillanceSystem,CDC– Phonesurveyconductedbystatestatehealthdepartments– NaDonalsampleofabout500,000adultslivinginhouseholds(>18)
– Setofsurveysaboutavarietyofhealthtopics– SamplesizescanbelowforcounDes
• Statehealthdepartments– Diseaseincidence,etc.
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OtherHealthdatasources• CensusBureau,AmericanCommunitySurvey
– Insuredanduninsuredbyage,sex,andrace,educaDon,andincome
– DisabilityinformaDon• HealthResourcesandServicesAdministraDon
– HealthCenterProgramGranteeDataforFQHC’s– 2012-2015– CharacterisDcsofservicearea,paDents,services,clinicaldata,cost,etc.
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Dataaggregators• WebsitesorreportsthatproduceaspecificsetofhealthdataorindicatorsbyaggregaDngalotofdifferentsourcesofdata,Examples:– GreaterPortlandPulse(PortlandmetrocounDesonly)
– CountyHealthRankings(NaDonalcounty-leveldata)
– StateofOregon’sHealth(County-leveldata)– 500CiDesProject
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ProfileReview
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Discussion• WhatcanIsayaboutmycommunitybasedonthesedata?
• WhatotherdatawouldIliketohave?• Howarethesedatausefulformyclinic:
– FortargeDngservices?– ForidenDfyingpartners?– ForlocaDngnewservices?
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Buildingyourownprofile• StepbystepinstrucDonsfor:
– AmericanFactinder– GreaterPortlandPulse– CountyHealthRankings– UDSMapper(ifwehaveDme)
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BrainstormingandDiscussion• WhatarethemostimportantwaysIcanthinkoftousethesedata?
• WhatismissingthatImightneedtoknow?• Whatotherdatamightwewanttocombinewiththesedatatolearnmore?
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