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Leveraging Administrative Data for Program Evaluations: A Method for Linking Data Sets Without Unique Identifiers. | LitMetric

Leveraging Administrative Data for Program Evaluations: A Method for Linking Data Sets Without Unique Identifiers.

Eval Health Prof

Department of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M Health Science Center, College Station, TX, USA.

Published: June 2016

AI Article Synopsis

  • - Community-based wellness programs avoid collecting Social Security Numbers (SSNs) to protect participant privacy and boost participation rates.
  • - Changes in health care utilization are used to assess program effectiveness, particularly in the 65 and older population, with data pulled from Medicare administrative claims.
  • - Using fuzzy matching techniques, 78% of participants from the National Study of the Chronic Disease Self-Management Program were successfully linked to their Medicare claims data, allowing for better evaluation of the program’s impact without unique identifiers like SSNs.

Article Abstract

In community-based wellness programs, Social Security Numbers (SSNs) are rarely collected to encourage participation and protect participant privacy. One measure of program effectiveness includes changes in health care utilization. For the 65 and over population, health care utilization is captured in Medicare administrative claims data. Therefore, methods as described in this article for linking participant information to administrative data are useful for program evaluations where unique identifiers such as SSN are not available. Following fuzzy matching methodologies, participant information from the National Study of the Chronic Disease Self-Management Program was linked to Medicare administrative data. Linking variables included participant name, date of birth, gender, address, and ZIP code. Seventy-eight percent of participants were linked to their Medicare claims data. Linking program participant information to Medicare administrative data where unique identifiers are not available provides researchers with the ability to leverage claims data to better understand program effects.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0163278714547568DOI Listing

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