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.
Original language | English (US) |
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Pages (from-to) | 706-709 |
Number of pages | 4 |
Journal | Annals of epidemiology |
Volume | 21 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2011 |
Bibliographical note
Funding Information:Supported by funds from the National Cancer Institute ( R03 CA132974 ; PI: Beebe) and the Mayo Clinic Foundation for Education and Research . The study was made possible by the Rochester Epidemiology Project ( R01 AG034676 from the National Institute on Aging ; PI: Rocca).
Keywords
- Authorization
- Community Surveys
- HIPAA (Health Insurance Portability and Accountability Act)
- Personal Health Records
- Survey Methods