Literature DB >> 21985049

A comparison of self-reported and record-linked blood donation history in an Australian cohort.

Nadine A Bertalli1, Katrina J Allen, Christine E McLaren, Lidija Turkovic, Nicholas J Osborne, Clare C Constantine, Martin B Delatycki, Dallas R English, Graham G Giles, John L Hopper, Gregory J Anderson, John K Olynyk, Lawrie W Powell, Lyle C Gurrin.   

Abstract

BACKGROUND: Questionnaire-based studies investigating blood donation history rely on the accurate recall of information from participants for results to be valid. This study aimed to retrieve electronic records from a national blood donation service and link them to self-reported history of donation to assess agreement between the two sources. STUDY DESIGN AND METHODS: Between 2004 and 2006, a sample of participants of northern European descent was selected from the Melbourne Collaborative Cohort Study (n = 31,192) to participate in the "HealthIron" study (n = 1438). A total of 1052 participants completed questionnaires that included questions about blood donation history. In 2009, consenting participants' records were linked to the Australian Red Cross Blood Service (ARCBS) to provide information on blood donations made between 1980 and follow-up (2004-2006). Those who commenced blood donation before 1980 were excluded.
RESULTS: A total of 718 participants were available for analysis. Of these, 394 (55%) provided signed consent, including 182 (82%) of the 227 participants who self-reported ever donating blood. The two data sources were concordant for 331 (87%) of participants, with a κ statistic of 0.74 (SE, 0.05) indicating a high level of agreement. Participants tended to overstate by a factor of 2.0 (95% confidence interval, 1.7-2.2) the number of donations they had made when compared with ARCBS records.
CONCLUSION: Participants in studies assessing self-reported blood donation history are likely to correctly indicate whether or not they have ever donated blood. Quantitative estimates are potentially inaccurate and could benefit from validating a sample of records to quantify the bias.
© 2011 American Association of Blood Banks.

Entities:  

Mesh:

Year:  2011        PMID: 21985049     DOI: 10.1111/j.1537-2995.2011.03141.x

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  6 in total

1.  A prospective analysis of blood donation history and risk of non-Hodgkin lymphoma.

Authors:  Kazusa Ishii; Brenda M Birmann; Xuehong Zhang; Edward Giovannucci; Kimberly A Bertrand
Journal:  Leuk Lymphoma       Date:  2015-10-16

2.  Assessing the Accuracy of Physician Self-disclosed PID Reporting: A Comparison of Data from a Physician Survey and Actual PID Case Reports from a State Surveillance System.

Authors:  Misty Y Pacheco; Alan R Katz
Journal:  Hawaii J Med Public Health       Date:  2018-10

3.  Natural history of HFE simple heterozygosity for C282Y and H63D: a prospective 12-year study.

Authors:  Sophie G Zaloumis; Katrina J Allen; Nadine A Bertalli; Lidija Turkovic; Martin B Delatycki; Amanda J Nicoll; Christine E McLaren; Dallas R English; John L Hopper; Graham G Giles; Gregory J Anderson; John K Olynyk; Lawrie W Powell; Lyle C Gurrin
Journal:  J Gastroenterol Hepatol       Date:  2015-04       Impact factor: 4.029

4.  Association of blood donation with iron deficiency among adolescent and adult females in the United States: a nationally representative study.

Authors:  Eshan U Patel; Jodie L White; Evan M Bloch; Mary K Grabowski; Eric A Gehrie; Parvez M Lokhandwala; Patricia A R Brunker; Ruchika Goel; Beth H Shaz; Paul M Ness; Aaron A R Tobian
Journal:  Transfusion       Date:  2019-02-18       Impact factor: 3.157

5.  Too Many Blood Donors - Response Bias in the Swiss Health Survey 2012.

Authors:  Thomas Volken; Andreas Bänziger; Andreas Buser; Damiano Castelli; Stefano Fontana; Beat M Frey; Amira Sarraj; Jörg Sigle; Jutta Thierbach; Tina Weingand; Behrouz Mansouri-Taleghani
Journal:  Transfus Med Hemother       Date:  2016-10-07       Impact factor: 3.747

6.  Defining and measuring blood donor altruism: a theoretical approach from biology, economics and psychology.

Authors:  R Evans; E Ferguson
Journal:  Vox Sang       Date:  2013-10-09       Impact factor: 2.144

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.