Literature DB >> 21497515

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

Timothy J Beebe1, Jeanette Y Ziegenfuss, Sarah M Jenkins, Lindsey R Haas, Michael E Davern.   

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.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21497515      PMCID: PMC3173781          DOI: 10.1016/j.annepidem.2011.03.007

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  18 in total

1.  Potential effect of authorization bias on medical record research.

Authors:  S J Jacobsen; Z Xia; M E Campion; C H Darby; M F Plevak; K D Seltman; L J Melton
Journal:  Mayo Clin Proc       Date:  1999-04       Impact factor: 7.616

2.  Linking questionnaires to primary care records: factors affecting consent in older people.

Authors:  Tess Harris; Derek G Cook; Christina Victor; Carole Beighton; Stephen Dewilde; Iain Carey
Journal:  J Epidemiol Community Health       Date:  2005-04       Impact factor: 3.710

3.  Health services research using linked records: who consents and what is the gain?

Authors:  A F Young; A J Dobson; J E Byles
Journal:  Aust N Z J Public Health       Date:  2001-10       Impact factor: 2.939

4.  History of the Rochester Epidemiology Project.

Authors:  L J Melton
Journal:  Mayo Clin Proc       Date:  1996-03       Impact factor: 7.616

5.  Informed consent: consequences for response rate and response quality in social surveys.

Authors:  E Singer
Journal:  Am Sociol Rev       Date:  1978-04

6.  Health Insurance Portability and Accountability Act (HIPAA) authorization and survey nonresponse bias.

Authors:  Timothy J Beebe; Jeanette Y Ziegenfuss; Jennifer L St Sauver; Sarah M Jenkins; Lindsey Haas; Michael E Davern; Nicholas J Talley
Journal:  Med Care       Date:  2011-04       Impact factor: 2.983

7.  Linking survey data with administrative health information: characteristics associated with consent from a neonatal intensive care unit follow-up study.

Authors:  Anne F Klassen; Shoo K Lee; Morris Barer; Parminder Raina
Journal:  Can J Public Health       Date:  2005 Mar-Apr

8.  Potential impact of the HIPAA privacy rule on data collection in a registry of patients with acute coronary syndrome.

Authors:  David Armstrong; Eva Kline-Rogers; Sandeep M Jani; Edward B Goldman; Jianming Fang; Debabrata Mukherjee; Brahmajee K Nallamothu; Kim A Eagle
Journal:  Arch Intern Med       Date:  2005-05-23

9.  The impact of requiring patient authorization for use of data in medical records research.

Authors:  B P Yawn; R A Yawn; G R Geier; Z Xia; S J Jacobsen
Journal:  J Fam Pract       Date:  1998-11       Impact factor: 0.493

10.  Patterns of consent in epidemiologic research: evidence from over 25,000 responders.

Authors:  Kate M Dunn; Kelvin Jordan; Rosie J Lacey; Mark Shapley; Clare Jinks
Journal:  Am J Epidemiol       Date:  2004-06-01       Impact factor: 4.897

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  3 in total

1.  Ethical and practical challenges to studying patients who opt out of large-scale biorepository research.

Authors:  S Trent Rosenbloom; Jennifer L Madison; Kyle B Brothers; Erica A Bowton; Ellen Wright Clayton; Bradley A Malin; Dan M Roden; Jill Pulley
Journal:  J Am Med Inform Assoc       Date:  2013-07-25       Impact factor: 4.497

2.  PIRATE project: point-of-care, informatics-based randomised controlled trial for decreasing overuse of antibiotic therapy in Gram-negative bacteraemia.

Authors:  Angela Huttner; Werner C Albrich; Pierre-Yves Bochud; Angèle Gayet-Ageron; Anne Rossel; Elodie von Dach; Stephan Harbarth; Laurent Kaiser
Journal:  BMJ Open       Date:  2017-07-13       Impact factor: 2.692

3.  A systematic literature review of attitudes towards secondary use and sharing of health administrative and clinical trial data: a focus on consent.

Authors:  Elizabeth Hutchings; Max Loomes; Phyllis Butow; Frances M Boyle
Journal:  Syst Rev       Date:  2021-05-04
  3 in total

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