APDU 2010 Annual Conference September 20, 2010 NCHS Record Linkage Program.

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Presentation transcript:

APDU 2010 Annual Conference September 20, 2010 NCHS Record Linkage Program

Objectives  Augments available information for major diseases, risk factors, and health service utilization  Links exposures to outcomes  Provides longitudinal component to survey data  Reduces cost burden  Re-contacting survey respondents for follow-up information can be expensive  Increases accuracy and detail of data collected 2

NCHS Major Data Systems  National Vital Statistics System and Surveys  National Health Interview Survey (NHIS)*  National Health and Nutrition Examination Survey (NHANES)*  National Health Care Surveys  National Nursing Home Survey* *part of linkage program 3

Administrative Data Sources  Mortality  National Death Index (NDI)  Retirement and Disability  Social Security Administration (SSA)  Medicare and Medicaid enrollment and claims  Centers for Medicare and Medicaid Services (CMS)  Air Quality  Environmental Protection Agency (EPA)  State based administrative records  National Highway Planning Network traffic data 4

How Records Are Linked NCHS Records SSN Name DOB Sex Other Available PII Administrative Records Administrative Records SSN Name DOB Sex Other Available PII Potential MatchesNon- Matches True Matches Linked Data File

NCHS Linked Mortality Files NCHS SurveyTotal Deaths through 2006 NHIS ,188 LSOA II5,806 NHEFS8,002 NHANES II5,276 NHANES III5,478 NHANES NHANES NHANES NNHS6, NNHS12, NNHS6, NNHS10,226 6

Linked Mortality Files: Mortality Follow-up through 2006 Restricted-usePublic-use National Health Interview Survey ( ) XX Second Longitudinal Study of Aging (LSOA II) XX NHANES I Epidemiologic Follow-up Study (NHEFS, ) X NHANES II ( ) X NHANES III ( ) XX NHANES ( ) XX 1985, 1995, 1997 National Nursing Home Surveys (NNHS) X 2004 National Nursing Home Survey (NNHS) XX 7

Research Potential of Linked Mortality Data Living and Dying in the USA: Behavioral, Health, and Social Differentials of Adult Mortality RG Rogers, CB Nam, RA Hummer; Suicide among male veterans: a prospective population-based study MS Kaplan, N Huguet, BH McFarland, JT Newsom; J Epidemiol Community Health, 2007; 61: Excess Deaths Associated with Underweight, Overweight, and Obesity KM Flegal, BI Graubard, DF Williamson, MH Gail; JAMA, 2005;293: Epidemiology & Community Health Journal of 8

Gaps in Life Expectancy at Age 25 by Education Total = 8.8 years Total = 6.3 years Source: NHIS with mortality follow-up through

Linked Social Security Files Social Security data spans  Old Age, Survivors, and Disability Insurance (OASDI)  Master Beneficiary Record (MBR)  Payment History Update System (PHUS)  831 Disability Master File (831 DMF)  Quarters of Coverage (Master Earnings File)  Supplemental Security Income (SSI)  Supplemental Security Record (SSR) 10

Linked Social Security Files  NCHS surveys  National Health Interview Survey (NHIS, )  Second Longitudinal Study of Aging (LSOA II, )  NHANES I Epidemiologic Follow-up Study (NHEFS, )  NHANES III ( )  NHANES ( )  National Nursing Home Survey (1985, 1995, 1997, 2004)  Data access through the NCHS Research Data Center 11

Research Potential of Linked Social Security Data  Examine reliability of survey information for SSA program participation and benefits  Compare the health characteristics of early retirees (age 62) to those who postpone benefits  Policy analysis using validated survey data  Predicting the number of people who will become disabled based upon survey reported health conditions  Determining whether current disability entitlement funding levels will be adequate in the future 12

Linked Medicare and Medicaid Files CMS data spans THESE UPDATED FILES EXPECTED BY END 2010  Medicare Standard Analytic Files (SAF)  Denominator file  MEDPAR  Hospital outpatient  Home Health Agency  Hospice  Carrier (physician/supplier Part B file)  Durable Medical Equipment  Summary Medicare Enrollment and Claims Files (SMEC) 13

Linked Medicare and Medicaid Files THESE UPDATED FILES EXPECTED BY MID 2011  Medicare Part D Prescription Drug Data  Chronic Condition Warehouse (CCW) summary files  End Stage Renal Disease (ESRD)  Medicaid Analytic eXtract (MAX) 14

Linked Medicare and Medicaid Files  NCHS surveys  National Health Interview Survey (NHIS, )  Second Longitudinal Study of Aging (LSOA II, )  NHANES I Epidemiologic Follow-up Study (NHEFS, )  NHANES II ( )  NHANES III ( )  NHANES ( )  2004 National Nursing Home Survey  Data access through the NCHS Research Data Center 15

Research Potential of Linked Medicare and Medicaid Data  Examine risk factors for health conditions  Examine uninsured estimates  Examine disparities in Medicare service utilization  Examine effect of obesity or Medicare and Medicaid costs 16

Longevity, BMI, and Lifetime Medicare Expenditures Normal $ 91,144 Over- weight ,595 Obese ,483 LE at age 65 years Estimated Lifetime Medicare Expenditures Percent survived to age 65 BMI at age 45 Year 2000 dollars, BMI is body mass index (Kg/m 2 ) Data source: National Health and Nutrition Examination Survey Linked Medicare File 17

Effect of Vitamin D on Risk of Hip Fracture *Adjusted for age, sex, femur neck BMD, previous fractures, dietary calcium, kilocalories and weight loss from maximum Source: NHANES III, Medicare Utilization and Expenditure Linked File; Looker et al J Bone Miner Res 2008;23:143. Non-Hispanic whites 65 years of age and older Relative risk of fracture 18

Linked EPA Air Quality Data Files  Annual pollution averages collected from air monitoring locations  Linked by geographic codes (e.g. county or zip code)  NCHS surveys  National Health Interview Survey ( )  NHANES III ( )  National Hospital Discharge Survey ( ) 19

Selected Analytic Issues 20

Ineligible Respondents  Cannot attempt to link survey records to administrative data sources if respondent  Refused to provide SSN (SSA or CMS only)  Lacks sufficient key identifying information  These cases are INELIGIBLE for linkage and MUST BE DROPPED from all analysis  They are not a random sample of respondents 21

Variance Estimation  In general, follow guidelines and recommendations of the specific survey  Pooled analyses of NHIS Files  Can span different NHIS design periods  Create new (consistent) design variables Different design periods have different variable names and stratum identifiers have different lengths  Follow instructions available at 22

Linked Mortality Files: Changes in Data Over Time  Two sets of ICD codes cover linked mortality files  ICD-9 (deaths 1979 – 1998)  ICD-10 (deaths 1999 to present)  Use both sets of codes to obtain full counts of cause-specific deaths  Restricted-use data includes individual codes  Recoded deaths before 1998 using ICD-10 guidelines  UCOD_113 (public and restricted use files)  Refer to vital statistics report on ICD comparability 23

Selected Issues with SSA and CMS Administrative Data  Collected for non-research purposes (i.e. program administration)  Undocumented variation (e.g. among reporting entities)  Administrative data updates  Lack of documentation on data editing and/or imputation procedures  Very large, complex files which may include many non- relevant variables and reflect complexities of benefit eligibility  No claims records for managed care enrollees (CMS) 24

CMS and SSA Feasibility Study Data  Public-use data  Indicates whether respondent was linked to CMS or SSA data  Provides limited variables on whether linked respondent has data on any of administrative files Determine maximum sample size for each linked file  Does not contain specific information, e.g. no information about amount or types of benefits  Access data from data linkage website 25

Disclosure Risks  Analyses done in Research Data Center  Create file for public release  Linked Mortality files use files analytically suitable for many types of analyses Vital status not perturbed Date or cause of death may be perturbed  Program to evaluate public use files against full restricted-use file  Compare mean follow-up times and distributions  Compare the mortality risk for a standard set of socio- demographic covariates for all-cause as well as cause- specific mortality 26

Linked Mortality Files: Public-use data  Public-use files yield similar hazard ratios and confidence intervals, particularly for common causes of death  Results for less common causes of death remain consistent, although less agreement in the estimates  Caution is urged for analyses of very rare causes of death or small population subgroups  Users of the public-use linked mortality files may request to verify their results through the NCHS Research Data Center 27

Data User Tools  File layouts & detailed notes  Sample SAS & STATA input statements for public-use linked mortality files  Matching methodology reports  Comparative analysis of the public-use and restricted- use linked mortality data  Linkage rates for SSA & CMS linked data  Analytic guidelines  Feasibility data files for SSA & CMS Files - Download from web 28

Additional Information  Contact us at:  NCHS data linkage activities   Mortality linkage   SSA linkage   CMS linkage   Contact ResDAC

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