Validating the British Columbia Perinatal Data Registry: a chart re-abstraction study

BMC Pregnancy and Childbirth

Research Article

KS Joseph¹  Lily Lee²  Cathe Johnson²  Gillian Frosst²  Brooke Kinniburgh²  Jennifer Hutcheon³ 

[1] Department of Obstetrics and Gynaecology, University of British Columbia, Shaughnessy Building C420, BC Children’s and Women’s Hospital, 4500 Oak Street, V6H 3N1, Vancouver, British Columbia, Canada;School of Population and Public Health, University of British Columbia, 2206 East Mall, V6T 1Z3, Vancouver, British Columbia, Canada;Perinatal Services BC, West Tower, 3rd Floor, 555 West 12th Avenue, V5Z 3X7, Vancouver, British Columbia, Canada;Perinatal Services BC, West Tower, 3rd Floor, 555 West 12th Avenue, V5Z 3X7, Vancouver, British Columbia, Canada;Department of Obstetrics and Gynaecology, University of British Columbia, Shaughnessy Building C420, BC Children’s and Women’s Hospital, 4500 Oak Street, V6H 3N1, Vancouver, British Columbia, Canada;School of Population and Public Health, University of British Columbia, 2206 East Mall, V6T 1Z3, Vancouver, British Columbia, Canada;

关键词: Perinatal care;    Pregnancy;    Validation studies;    Data collection;    Epidemiology;   

DOI  :  10.1186/s12884-015-0563-7

 received in 2014-11-27, accepted in 2015-05-18,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundThe British Columbia Perinatal Data Registry (BCPDR) contains individual-level obstetrical and neonatal medical chart data for virtually all births occurring in British Columbia, Canada. The objective of this study was to assess the validity of information in the BCPDR by performing a provincial chart re-abstraction study.MethodsA two-stage stratified clustered sampling design was employed. Obstetrical facilities were stratified based on geographic location and obstetrical volume. Charts of mothers and newborns with a length of stay of five or more days or transfer to another facility following the delivery were oversampled. A total of 85 maternal and 32 newborn variables were assessed for completeness (percent completion) and validity (sensitivity and specificity for categorical variables, intra-class correlation coefficient [ICC] for continuous variables).Results1,084 maternal and 1,142 newborn charts were abstracted. Mandatory variables such as primary indication for induction and primary indication for cesarean delivery were 100 % complete. Some variables such as pre-pregnancy weight were relatively more complete in the re-abstraction as compared with the BCPDR (83.0 % vs 76.8 %; p < 0.001). The validity of key surveillance variables was high (e.g., HIV screening completed [sensitivity 98.0 %, 95 % confidence interval (CI) 97.0–98.8 %; specificity 72.3 %, 95 % CI 60.8–81.9 %], induction of labour [sensitivity 93.9 %, 95 % CI 90.2–96.5 %; specificity 98.7 %, 95 % CI 97.7–99.3 %], primary elective cesarean delivery [sensitivity 96.0 %, 95 % CI 83.8–99.7 %; specificity 99.8 %, 95 % CI 99.4–100.0 %], gestational age from newborn examination [ICC 0.99, 95 % CI 0.99–0.99]). Examples of variables with lower validity included total admissions prior to delivery episode, maternal smoking status, and timing of breastfeeding initiation.ConclusionMany important clinical and population health variables in the BCPDR had excellent validity. Some key variables warrant strengthening through improved definitions, system changes, and abstractor training.

【 授权许可】

Unknown   
© Frosst et al.; licensee BioMed Central. 2015. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.