Evidence map›Paper›PMID 32143586›Full record

ArticleBMC pregnancy and childbirth2020

The relationship between severe maternal morbidity and a risk of postpartum readmission among Korean women: a nationwide population-based cohort study.

Jin Young Nam, Eun-Cheol Park

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

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

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4 · The record

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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

2 authors.

Jin Young NamResearch Institute of Asian Women, Sookmyung Women's University, 47 Na-gil 36 Cheongpa-ro, Yongsan-gu, Seoul, 04309, Republic of Korea.
Eun-Cheol ParkDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. ecpark@yuhs.ac.ORCID http://orcid.org/0000-0002-2306-5398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the rate of cesarean section delivery has increased, the incidence of severe maternal morbidity continues to increase. Severe maternal morbidity is associated with high medical costs, extended length of hospital stay, and long-term rehabilitation. However, there is no evidence whether severe maternal morbidity affects postpartum readmission. Therefore, this study aimed to determine the relationship between severe maternal morbidity and postpartum readmission.

methodsThis nationwide population-based cohort study used the Korean National Health Insurance Service-National Sample cohort of 90,035 delivery cases between January 2003 and November 2013. The outcome variable was postpartum readmission until 6 weeks after the first date of delivery in the hospital. Another variable of interest was the occurrence of severe maternal morbidity, which was determined using the Center for Disease Control and Prevention's algorithm. The Cox proportional hazard model was used to assess the association between postpartum readmission and severe maternal morbidity after all covariates were adjusted.

resultsThe overall incidence of postpartum readmission was 2041 cases (0.95%) of delivery. Women with severe maternal morbidity had an approximately 2.4 times higher risk of postpartum readmission than those without severe maternal morbidity (hazard ratio 2.36, 95% confidence interval 1.75-3.19). In addition, compared with reference group, women who were aged 20-30 years, nulliparous, and delivered in a tertiary hospital were at high risk of postpartum readmission.

conclusionsSevere maternal morbidity was related to the risk of postpartum readmission. Policy makers should provide a quality indicator of postpartum maternal health care and improve the quality of intrapartum care.

Indexed as

AdolescentAdultCohort StudiesFemaleHumansObstetric Labor ComplicationsParityPatient ReadmissionPregnancyPuerperal DisordersRepublic of KoreaSocioeconomic FactorsYoung AdultCohort studyMode of deliveryPostpartum readmissionSevere maternal morbidity

Identifiers

PMID32143586
PMCPMC7060630

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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.