Evidence map›Paper›PMID 34021011›Full record

ArticleCMAJ open

Identifying maternal deaths with the use of hospital data versus death certificates: a retrospective population-based study.

Kayvan Aflaki, Alison L Park, Chantal Nelson, Wei Luo, Joel G Ray

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Kayvan AflakiInstitute of Medical Science (Aflaki), University of Toronto; ICES Central (Park), Toronto, Ont.; Maternal, Child and Youth Health Division (Nelson, Luo), Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ont.; Departments of Medicine (Ray) and Obstetrics and Gynecology (Ray), St. Michael's Hospital, Toronto, Ont.
Alison L ParkInstitute of Medical Science (Aflaki), University of Toronto; ICES Central (Park), Toronto, Ont.; Maternal, Child and Youth Health Division (Nelson, Luo), Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ont.; Departments of Medicine (Ray) and Obstetrics and Gynecology (Ray), St. Michael's Hospital, Toronto, Ont.
Chantal NelsonInstitute of Medical Science (Aflaki), University of Toronto; ICES Central (Park), Toronto, Ont.; Maternal, Child and Youth Health Division (Nelson, Luo), Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ont.; Departments of Medicine (Ray) and Obstetrics and Gynecology (Ray), St. Michael's Hospital, Toronto, Ont.
Wei LuoInstitute of Medical Science (Aflaki), University of Toronto; ICES Central (Park), Toronto, Ont.; Maternal, Child and Youth Health Division (Nelson, Luo), Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ont.; Departments of Medicine (Ray) and Obstetrics and Gynecology (Ray), St. Michael's Hospital, Toronto, Ont.
Joel G RayInstitute of Medical Science (Aflaki), University of Toronto; ICES Central (Park), Toronto, Ont.; Maternal, Child and Youth Health Division (Nelson, Luo), Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ont.; Departments of Medicine (Ray) and Obstetrics and Gynecology (Ray), St. Michael's Hospital, Toronto, Ont. Joel.Ray@unityhealth.to.
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate identification of maternal deaths is paramount for audit and policy purposes. Our aim was to determine the accuracy and completeness of data on maternal deaths in hospital and those recorded on a death certificate, and the level of agreement between the 2 data sources.

methodsWe conducted a retrospective population-based study using data for Ontario, Canada, from Apr. 1, 2002, to Dec. 31, 2015. We used Canadian Institute for Health Information (CIHI) databases to identify deaths during inpatient, emergency department and same-day surgery encounters. We captured Vital Statistics deaths in the Office of the Registrar General, Deaths (ORGD) data set. Deaths were considered within 42 days and within 365 days after a pregnancy outcome (live birth, miscarriage, ectopic pregnancy or induced abortion) for all multiple and singleton pregnancies. We calculated agreement statistics and 95% confidence intervals (CIs).

resultsAmong 1 679 455 live births and stillbirths, 398 pregnancy-related deaths in the ORGD data set were mapped to a birth in CIHI databases, and 77 (16.2%) were not. Among 2 039 849 recognized pregnancies, 534 pregnancy-related deaths in the ORGD data set were linked to CIHI records, and 68 (11.3%) were not. Among live births and stillbirths, after pregnancy-related deaths in the ORGD data set not matched to a maternal death in the CIHI databases were removed, concordance measures between CIHI and ORGD records for maternal death within 42 days after delivery included a κ value of 0.87 (95% CI 0.82-0.91) and positive percent agreement of 0.88 (95% CI 0.83-0.94). The corresponding measures were similar for maternal death within 42 days after the end of a recognized pregnancy. When unlinked pregnancy-related deaths in the ORGD data set were retained, agreement measures declined for death within 42 days after a live birth or stillbirth (κ = 0.68, 95% CI 0.62-0.74). For maternal death within 365 days after a live birth or stillbirth, or after the end of a recognized pregnancy, the concordance statistics were generally favourable when unlinked pregnancy-related deaths in the ORGD data set were removed but were substantially declined when they were retained.

interpretationMaternal mortality cannot be ascertained solely with the use of hospital data, including beyond 42 days after the end of pregnancy. To improve linkage, we propose including health insurance numbers on provincial and territorial medical death certificates.

Indexed as

Birth CertificatesDeath CertificatesMaternal DeathCause of DeathFemaleHospital Information SystemsHospitalizationHumansMaternal MortalityMedical Record LinkageOntarioOutcome Assessment, Health CarePregnancyPregnancy ComplicationsPregnancy OutcomeQuality Improvement

Identifiers

PMID34021011
PMCPMC8177910
OpenAlexW3162672307

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.