Evidence map›Paper›PMID 31881960›Full record

ArticleBMC health services research2019

Data accuracy in the Ontario birth Registry: a chart re-abstraction study.

Sandra Dunn, Andrea Lanes, Ann E Sprague, Deshayne B Fell, Deborah Weiss, Jessica Reszel, Monica Taljaard, Elizabeth K Darling, Ian D Graham, Jeremy M Grimshaw and 4 more

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed.

  1. Risk of congenital anomalies among infants of patients with endometriosis: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. BORN to be validated: Assessing agreement between Ontario's birth registry and CIHI-DAD.Health information management : journal of the Health Information Management Association of Australia · 2026
    Article
  6. Article
  7. Article
  8. Modern sources of controls in case-control studies.American journal of epidemiology · 2025
    Article
  9. Article
  10. Group BLancet regional health. Americas · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Burden of infant group BLancet regional health. Americas · 2024
    Article
  17. Pregnancy complications and new-onset maternal autoimmune disease.International journal of epidemiology · 2024
    Article
  18. Article
  19. Article
  20. The impact of isolated obesity compared with obesity and other risk factors on risk of stillbirth: a retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Sandra DunnBetter Outcomes Registry & Network , Ottawa, Ontario, Canada. sdunn@bornontario.ca.ORCID http://orcid.org/0000-0003-4192-7884
Andrea LanesBetter Outcomes Registry & Network , Ottawa, Ontario, Canada.
Ann E SpragueBetter Outcomes Registry & Network , Ottawa, Ontario, Canada.
Deshayne B FellChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.
Deborah WeissBetter Outcomes Registry & Network , Ottawa, Ontario, Canada.
Jessica ReszelBetter Outcomes Registry & Network , Ottawa, Ontario, Canada.
Monica TaljaardUniversity of Ottawa, Ottawa, Ontario, Canada.
Elizabeth K DarlingMcMaster University, Hamilton, Ontario, Canada.
Ian D GrahamUniversity of Ottawa, Ottawa, Ontario, Canada.
Jeremy M GrimshawUniversity of Ottawa, Ottawa, Ontario, Canada.
JoAnn HarroldChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.
Graeme N SmithKingston General Hospital and Queen's University, Kingston, Ontario, Canada.
Wendy PetersonUniversity of Ottawa, Ottawa, Ontario, Canada.
Mark WalkerBetter Outcomes Registry & Network , Ottawa, Ontario, Canada.

Funding

CIHR 133576Ontario Ministry of Health and Long-Term Care 06684
6 · The paper itself

Abstract

backgroundOntario's birth Registry (BORN) was established in 2009 to collect, interpret, and share critical data about pregnancy, birth and the early childhood period to facilitate and improve the provision of healthcare. Since the use of routinely-collected health data has been prioritized internationally by governments and funding agencies to improve patient care, support health system planning, and facilitate epidemiological surveillance and research, high quality data is essential. The purpose of this study was to verify the accuracy of a selection of data elements that are entered in the Registry.

methodsData quality was assessed by comparing data re-abstracted from patient records to data entered into the Ontario birth Registry. A purposive sample of 10 hospitals representative of hospitals in Ontario based on level of care, birth volume and geography was selected and a random sample of 100 linked mother and newborn charts were audited for each site. Data for 29 data elements were compared to the corresponding data entered in the Ontario birth Registry using percent agreement, kappa statistics for categorical data elements and intra-class correlation coefficients (ICCs) for continuous data elements.

resultsAgreement ranged from 56.9 to 99.8%, but 76% of the data elements (22 of 29) had greater than 90% agreement. There was almost perfect (kappa 0.81-0.99) or substantial (kappa 0.61-0.80) agreement for 12 of the categorical elements. Six elements showed fair-to-moderate agreement (kappa <0.60). We found moderate-to-excellent agreement for four continuous data elements (ICC >0.50).

conclusionOverall, the data elements we evaluated in the birth Registry were found to have good agreement with data from the patients' charts. Data elements that showed moderate kappa or low ICC require further investigation.

Indexed as

Birth CertificatesData AccuracyHumansInfant, NewbornOntarioRegistriesReproducibility of ResultsBORN OntarioData accuracyData quality assessmentRe-abstraction

Identifiers

PMID31881960
PMCPMC6935171

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.