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Protocol for a national blood transfusion data warehouse from donor to recipient.
van Hoeven, Loan R; Hooftman, Babette H; Janssen, Mart P; de Bruijne, Martine C; de Vooght, Karen M K; Kemper, Peter; Koopman, Maria M W.
Afiliação
  • van Hoeven LR; Transfusion Technology Assessment Department, Sanquin Research, Amsterdam, The Netherlands Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Hooftman BH; Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
  • Janssen MP; Transfusion Technology Assessment Department, Sanquin Research, Amsterdam, The Netherlands Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • de Bruijne MC; Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
  • de Vooght KM; Department of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Kemper P; Transfusion Technology Assessment Department, Sanquin Research, Amsterdam, The Netherlands.
  • Koopman MM; Department of Transfusion Medicine, Sanquin Blood Bank, Amsterdam, The Netherlands.
BMJ Open ; 6(8): e010962, 2016 08 04.
Article em En | MEDLINE | ID: mdl-27491665
ABSTRACT

INTRODUCTION:

Blood transfusion has health-related, economical and safety implications. In order to optimise the transfusion chain, comprehensive research data are needed. The Dutch Transfusion Data warehouse (DTD) project aims to establish a data warehouse where data from donors and transfusion recipients are linked. This paper describes the design of the data warehouse, challenges and illustrative applications. STUDY DESIGN AND

METHODS:

Quantitative data on blood donors (eg, age, blood group, antibodies) and products (type of product, processing, storage time) are obtained from the national blood bank. These are linked to data on the transfusion recipients (eg, transfusions administered, patient diagnosis, surgical procedures, laboratory parameters), which are extracted from hospital electronic health records. APPLICATIONS Expected scientific contributions are illustrated for 4 applications determine risk factors, predict blood use, benchmark blood use and optimise process efficiency. For each application, examples of research questions are given and analyses planned.

CONCLUSIONS:

The DTD project aims to build a national, continuously updated transfusion data warehouse. These data have a wide range of applications, on the donor/production side, recipient studies on blood usage and benchmarking and donor-recipient studies, which ultimately can contribute to the efficiency and safety of blood transfusion.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transfusão de Sangue / Data Warehousing Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: BMJ Open Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transfusão de Sangue / Data Warehousing Tipo de estudo: Diagnostic_studies / Etiology_studies / Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: BMJ Open Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Holanda