Evidence map›Paper›PMID 36811857›Full record

ArticleJAMA network open2023

Characteristics of Maternal Mortality Missed by Vital Statistics in Hong Kong, 2000-2019.

Ka Wang Cheung, Mimi Tin-Yan Seto, Weilan Wang, Po Lam So, Annie S Y Hui, Florrie Nga-Yui Yu, Wai Hang Chung, Wendy Shu, Minnie Yim, Tiffany Sin-Tung Au and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 4% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. 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

12 authors at 8 institutions in 2 countries.

Ka Wang CheungDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.
Mimi Tin-Yan SetoDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.
Weilan WangDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.
Po Lam SoDepartment of Obstetrics and Gynaecology, Tuen Mun Hospital, Hong Kong, China.
Annie S Y HuiDepartment of Obstetrics and Gynaecology, Prince of Wales Hospital, Hong Kong, China.
Florrie Nga-Yui YuDepartment of Obstetrics and Gynaecology, Queen Elizabeth Hospital, Hong Kong, China.
Wai Hang ChungDepartment of Obstetrics and Gynaecology, United Christian Hospital, Hong Kong, China.
Wendy ShuDepartment of Obstetrics and Gynaecology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China.
Minnie YimDepartment of Obstetrics and Gynaecology, Kwong Wah Hospital, Hong Kong, China.
Tiffany Sin-Tung AuDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.
Tsz Kin LoDepartment of Obstetrics and Gynaecology, Princess Margaret Hospital, Hong Kong, China.
Ernest Hung Yu NgDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.
University of Hong Kong · HKQueen Mary Hospital · CNKwong Wah Hospital · CNPamela Youde Nethersole Eastern Hospital · CNPrince of Wales Hospital · CNQueen Elizabeth Hospital · CNTuen Mun Hospital · CNUnited Christian Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Reducing maternal mortality is a global objective. The maternal mortality ratio (MMR) is low in Hong Kong, China, but there has been no local confidential enquiry into maternal death, and underreporting is likely. Objective: To determine the causes and timing of maternal death in Hong Kong and identify deaths and their causes that were missed by the Hong Kong vital statistics database. Design, Setting, and Participants: This cross-sectional study was conducted among all 8 public maternity hospitals in Hong Kong. Maternal deaths were identified using prespecified search criteria, including a registered delivery episode between 2000 to 2019 and a registered death episode within 365 days after delivery. Cases as reported by the vital statistics were then compared with the deaths found in the hospital-based cohort. Data were analyzed from June to July 2022. Main Outcomes and Measures: The outcomes of interest were maternal mortality, defined as death during pregnancy or within 42 days after ending the pregnancy, and late maternal death, defined as death more than 42 days but less than 1 year after end of the pregnancy. Results: A total of 173 maternal deaths (median [IQR] age at childbirth, 33 [29-36] years) were found, including 74 maternal mortality events (45 direct deaths and 29 indirect deaths) and 99 late maternal deaths. Of 173 maternal deaths, 66 women (38.2%) of individuals had preexisting medical conditions. For maternal mortality, the MMR ranged from 1.63 to 16.78 deaths per 100 000 live births. Suicide was the leading cause of direct death (15 of 45 deaths [33.3%]). Stroke and cancer deaths were the most common causes of indirect death (8 of 29 deaths [27.6%] each). A total of 63 individuals (85.1%) died during the postpartum period. In the theme-based approach analysis, the leading causes of death were suicide (15 of 74 deaths [20.3%]) and hypertensive disorders (10 of 74 deaths [13.5%]). The vital statistics in Hong Kong missed 67 maternal mortality events (90.5%). All suicides and amniotic fluid embolisms, 90.0% of hypertensive disorders, 50.0% of obstetric hemorrhages, and 96.6% of indirect deaths were missed by the vital statistics. The late maternal death ratio ranged from 0 to 16.36 deaths per 100 000 live births. The leading causes of late maternal death were cancer (40 of 99 deaths [40.4%]) and suicide (22 of 99 deaths [22.2%]). Conclusions and Relevance: In this cross-sectional study of maternal mortality in Hong Kong, suicide and hypertensive disorder were the dominant causes of death. The current vital statistics methods were unable to capture most of the maternal mortality events found in this hospital-based cohort. Adding a pregnancy checkbox to death certificates and setting up a confidential enquiry into maternal death could be possible solutions to reveal the hidden deaths.

Indexed as

Hypertension, Pregnancy-InducedMaternal DeathSuicideCross-Sectional StudiesFemaleHong KongHumansMaternal MortalityPregnancy

Identifiers

PMID36811857
PMCPMC9947727
OpenAlexW4321491294

What OpenQuestion holds

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LicenceCC BY
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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.