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Ann Epidemiol. 2011 Sep;21(9):706-9. doi: 10.1016/j.annepidem.2011.03.007. Epub 2011 Apr 16.

Who doesn't authorize the linking of survey and administrative health data? A general population-based investigation.

Author information

1
Division of Health Care Policy and Research, Mayo Clinic, Rochester, MN 55905, USA. beebe.timothy@mayo.edu

Abstract

PURPOSE:

To determine the extent of authorization bias in a study linking survey and medical record data in a general population-based investigation.

METHODS:

Authorization status (authorized data linkage vs. not) was ascertained through a sequential mixed mode mail and telephone survey conducted in Olmsted County, MN. Respondents (regardless of authorization status) were linked to the Rochester Epidemiology Project (REP), the medical record system for health care providers in Olmsted County. The REP provided data on gender, age, race, health status (co-morbid conditions), and health care utilization (ER admission, hospital admission, clinical office visits and procedures). Authorizers (n=1357) are compared to non-authorizers (n=217) with respect to these demographic and clinical characteristics.

RESULTS:

86.2% of respondents authorized data linkage. Non-authorizers were younger, healthier (lower Charlson score), and less likely to have 3 or more recent clinical office visits. In multivariate analysis, Charlson score was no longer a significant predictor of authorization while an ER visit did predict authorization.

CONCLUSIONS:

Younger subjects are less likely to authorize data linkages. As such, researchers should be aware of this source of potential bias when analyzing population-based linked survey and administrative data. The presence of bias with respect to health care use is more complicated. It is dependent on how the concept is operationalized with heavy clinical users more likely to authorize and those with ER visits less so.

PMID:
21497515
PMCID:
PMC3173781
DOI:
10.1016/j.annepidem.2011.03.007
[Indexed for MEDLINE]
Free PMC Article
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