Literature DB >> 25139849

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

Andrea L Lorden1, Tiffany A Radcliff2, Luohua Jiang3, Scott A Horel3, Matthew L Smith4, Kate Lorig5, Benjamin L Howell6, Nancy Whitelaw7, Marcia Ory8.   

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.
© The Author(s) 2014.

Entities:  

Keywords:  Medicare; administrative data; fuzzy matching; linkage; program evaluation

Mesh:

Year:  2014        PMID: 25139849     DOI: 10.1177/0163278714547568

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  2 in total

1.  Linking evidence-based program participant data with medicare data: the consenting process and correlates of retrospective participant consents.

Authors:  Philip Lloyd Ritter; Marcia G Ory; Matthew Lee Smith; Luohua Jiang; Audrey Alonis; Diana D Laurent; Kate Lorig
Journal:  Front Public Health       Date:  2015-04-27

2.  Concordance between Self-Reports and Medicare Claims among Participants in a National Study of Chronic Disease Self-Management Program.

Authors:  Luohua Jiang; Ben Zhang; Matthew Lee Smith; Andrea L Lorden; Tiffany A Radcliff; Kate Lorig; Benjamin L Howell; Nancy Whitelaw; Marcia G Ory
Journal:  Front Public Health       Date:  2015-10-08
  2 in total

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