Literature DB >> 15850038

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

Anne F Klassen1, Shoo K Lee, Morris Barer, Parminder Raina.   

Abstract

BACKGROUND: Health services and population health research often depends on the ready availability of administrative health data. However, the linkage of survey-based data to administrative data for health research purposes has raised concerns about privacy. Our aim was to compare consent rates to data linkage in two samples of caregivers and describe characteristics associated with consenters.
METHODS: Subjects included caregivers of children admitted at birth to neonatal intensive care units (NICU) in British Columbia and caregivers of a sample of healthy children. Caregivers were asked to sign a consent form enabling researchers to link the survey information with theirs and their child's provincially collected health records. Bivariate analysis identified sample characteristics associated with consent. These were entered into logistic regression models.
RESULTS: The sample included 1,140 of 2,221 NICU children and 393 of 718 healthy children. The overall response rate was 55% and the response rate for located families was 67.1%. Consent to data linkage with the child data was given by 71.6% of respondents and with caregiver data by 67% of respondents. Families of healthy children were as likely to provide consent as families of NICU children. Higher rates of consent were associated with being a biological parent, not requiring survey reminders, involvement in a parent support group, not working full-time, having less healthy children, multiple births and higher income.
CONCLUSION: The level of consent achieved suggests that when given a choice, most people are willing to permit researcher access to their personal health information for research purposes. There is scope for educating the public about the nature and importance of research that combines survey and administrative data to address important health questions.

Entities:  

Mesh:

Year:  2005        PMID: 15850038

Source DB:  PubMed          Journal:  Can J Public Health        ISSN: 0008-4263


  6 in total

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

Authors:  Timothy J Beebe; Jeanette Y Ziegenfuss; Sarah M Jenkins; Lindsey R Haas; Michael E Davern
Journal:  Ann Epidemiol       Date:  2011-04-16       Impact factor: 3.797

2.  LINKING SURVEY AND ADMINISTRATIVE RECORDS: MECHANISMS OF CONSENT.

Authors:  Joseph W Sakshaug; Mick P Couper; Mary Beth Ofstedal; David R Weir
Journal:  Sociol Methods Res       Date:  2012-11

3.  Data linkage: a powerful research tool with potential problems.

Authors:  Megan A Bohensky; Damien Jolley; Vijaya Sundararajan; Sue Evans; David V Pilcher; Ian Scott; Caroline A Brand
Journal:  BMC Health Serv Res       Date:  2010-12-22       Impact factor: 2.655

4.  Record linkage research and informed consent: who consents?

Authors:  Nicole Huang; Shu-Fang Shih; Hsing-Yi Chang; Yiing-Jenq Chou
Journal:  BMC Health Serv Res       Date:  2007-02-12       Impact factor: 2.655

5.  Pre-notification letter type and response rate to a postal survey among women who have recently given birth.

Authors:  Angela L Todd; Maree Porter; Jennifer L Williamson; Jillian A Patterson; Christine L Roberts
Journal:  BMC Med Res Methodol       Date:  2015-12-01       Impact factor: 4.615

6.  A novel metadata management model to capture consent for record linkage in longitudinal research studies.

Authors:  Christiana McMahon; Spiros Denaxas
Journal:  Inform Health Soc Care       Date:  2017-11-06       Impact factor: 2.439

  6 in total

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