Evidence map›Paper›PMID 35964088›Full record

ArticleReproductive health2022

Comparison of global indicators for severe maternal morbidity among South Korean women who delivered from 2003 to 2018: a population-based retrospective cohort study.

Jin Young Nam

Registry-linked trialAbstract read
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In one paragraph

Article in Reproductive health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05697822 (The Effect of a Patient-involved Mobile Phone and Cloud-based Electronic Contact and Recording System on Institutional Deliveries and Other Maternal and Infant Health Outcomes in Rural Nepal), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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.

NCT05697822 naunknown statusnot on this mapstarted 2023, after this paper: background citation

The Effect of a Patient-involved Mobile Phone and Cloud-based Electronic Contact and Recording System on Institutional Deliveries and Other Maternal and Infant Health Outcomes in Rural Nepal: A Cluster Randomized Controlled Trial

TypeinterventionalSponsorAmit ArjyalRan2023 to 2024Enrolled360ConditionsMaternal Health, Infant Health, Institutional Delivery, Birth Preparedness and Complication ReadinessArmsMobile Phone and Cloud-based Electronic Contact and Recording System
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Observational
  5. Article
  6. Article
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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

1 author.

Jin Young NamDepartment of Healthcare Management, Eulji University, Sanseongdae-ro 553, Sujeong-gu, Seongnam, Gyeonggi-do, 13135, Republic of Korea. jynam@eulji.ac.kr.ORCID http://orcid.org/0000-0003-0540-8753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven though several severe maternal morbidity (SMM) indicators exist globally, indicators that can serve as international standards are needed. Therefore, this study aimed to compare the SMM risk assessment using four international indicators and identify the factors underlying the differences among the risk assessments obtained by the various indicators.

methodsThis study used the National Health Insurance delivery cohort in South Korea from 2003 to 2018. SMM was estimated using four indicators: the United States Centers for Disease Control and Prevention (US-CDC) SMM algorithm, the American College of Obstetricians and Gynecologists (ACOG) gold standard guidelines, Zwart et al.'s indicators for the Netherlands, and the European Network on Severe Acute Maternal Morbidity (EURONET-SAMM) index. Generalized estimating equations models were used to identify the relationships between SMM indicators and risk factors.

resultsThe SMM incidence rates in 6,421,091 deliveries, were 2.36%, 3.12%, 0.31%, and 1.36% using the US-CDC, ACOG, Zwart et al.'s, and EURONET SAMM indicators, respectively. In sub indicators, hemorrhage-related codes constituted the highest proportion of all SMM indicators. Advanced maternal age was related to high risk in all four SMM indicators (US-CDC: 40-44 years, RR 1.67, 95% CI 1.63-1.71; ACOG's guidelines: 40-44 years, RR 1.52, 95% CI 1.49-1.56; Zwart's indicators: RR 2.72, 95% CI 2.55-2.90; EURONET-SAMM: RR 2.04, 95% CI 1.97-2.11) compared to those aged 25-29 years. In residential area, women who lived in rural area had approximately 1.2- to 1.5-fold higher risk of SMM compared to those who lived in Seoul. Additionally, inadequate prenatal care was associated with a 1.1- to 1.4-fold higher risk of SMM compared to adequate prenatal care.

conclusionsSMM was associated with maternal age, socioeconomic status, and adverse obstetric factors using various international SMM indicators. Further studies are needed to further determine risk and preventable factors for SMM and to identify more specific causes associated with the frequent sub-indicators of SMM.

Indexed as

Pregnancy ComplicationsPrenatal CareCohort StudiesFemaleHumansMaternal AgePregnancyRetrospective StudiesAdverse obstetric factorsInternational SMM indicatorsRisk factorsSevere maternal morbidity

Identifiers

PMID35964088
PMCPMC9375335

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Registered trials

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.