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Secondary Analysis of Large Survey Database
Author Bio
Why Conduct Secondary Anaylsis
Advantages of Survey Data
Avoiding the Pitfalls
Start with the Research Question
Determine Variables of Interest
Identify and Evaluate the Data Source
Get the Data
Survey Design
Sampling Frame
Telephone Surveys
Followback Surveys
Multistage Cluster Samples
What is a Panel Design
Mode of Survey Administration
Survey Instruments
CodeBooks
Online Exploratory Analysis
Potential Sources of Error
Cultural Nonequivalence
Analysis of Survey Data
Cluster and Stratified Samples
Using Sample Weights
Missing Data
Power Calculations
Currently Selected Section: Linking Data Sources
Multiple Comparisons
Getting Help
Giving Feedback
Conclusion
Chapter 20: Secondary Analysis of Large Survey Database: Linking Data Sources
          

Linkage to other data sources provides information beyond what can be obtained from the individual survey. These linkages may be part of the original survey design or done by an investigator in order to answer a specific study question. The survey data in the MCBS is linked to CMS administrative files (both claims and enrollment data for Medicare) to provide detailed information on use of services (office visits, hospitalizations, home health care use, skilled nursing facility, etc.), diagnoses, and coverage information such as managed care or Medicaid enrollment (Eppig and Chulis, 1997).

The MEPS sample is drawn from the NHIS. A data link file can allow merging responses in the MEPS to the same respondent's data in the NHIS. For example, one file available through the Agency for Healthcare Research and Quality contains a crosswalk that allows data users to merge the MEPS 1999 Full-Year Population Characteristics public use data file with the NHIS 1997/1998 public use data files. Other data sources that can sometimes be linked to survey data include the Area Resource File, which provides county level data such as characteristics of health facilities, bed and physician supply, and census data, such as detailed information on neighborhood characteristics and the National Death Index.

Click here to see a table showing the association between self-report of functional limitations and Medicare expenditures, determined by linking MCBS survey data with Medicare reimbursement data from claims (Bierman et al., 1999).

 

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