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

Transcript of Using Data to Improve Health Services...Sheila Martin April 10, 2017 Why can data help you serve...

Page 1: Using Data to Improve Health Services...Sheila Martin April 10, 2017 Why can data help you serve your community? Workshop Agenda • Important sources of Demographic data • Important

Using Data to Improve Health Services A workshop for Community Supported Clinics

Charles Rynerson Sheila Martin April 10, 2017

Page 2: Using Data to Improve Health Services...Sheila Martin April 10, 2017 Why can data help you serve your community? Workshop Agenda • Important sources of Demographic data • Important

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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Contacts

•  PopulaDonResearchCenterwww.pdx.edu/prc/

•  [email protected]

•  [email protected]

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