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

Overview of attention for article published in BMC Pregnancy and Childbirth, May 2015
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Title
Validating the British Columbia Perinatal Data Registry: a chart re-abstraction study
Published in
BMC Pregnancy and Childbirth, May 2015
DOI 10.1186/s12884-015-0563-7
Pubmed ID
Authors

Gillian Frosst, Jennifer Hutcheon, KS Joseph, Brooke Kinniburgh, Cathe Johnson, Lily Lee

Abstract

The 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. A 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). 1,084 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. Many 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
Unknown 105 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Researcher 16 15%
Student > Ph. D. Student 12 11%
Student > Bachelor 12 11%
Other 8 7%
Other 18 17%
Unknown 23 21%
Readers by discipline Count As %
Medicine and Dentistry 34 32%
Nursing and Health Professions 10 9%
Social Sciences 5 5%
Agricultural and Biological Sciences 4 4%
Economics, Econometrics and Finance 3 3%
Other 16 15%
Unknown 35 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 May 2015.
All research outputs
#15,333,633
of 22,807,037 outputs
Outputs from BMC Pregnancy and Childbirth
#2,995
of 4,188 outputs
Outputs of similar age
#156,630
of 266,724 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#52
of 68 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,188 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,724 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.