Evidence map›Paper›PMID 27460106›Full record

ArticleBMC pregnancy and childbirth2016

Factors associated with severe maternal morbidity in Kelantan, Malaysia: A comparative cross-sectional study.

Mohd Noor Norhayati, Nik Hussain Nik Hazlina, Abd Aziz Aniza, Zaharah Sulaiman

Abstract readComparative Study
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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.

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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. Factors Affecting the Risk of Postpartum Hemorrhage in Pregnant Women in Tibet Health Facilities.Medical science monitor : international medical journal of experimental and clinical research · 2021
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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

4 authors.

Mohd Noor NorhayatiDepartment of Family Medicine, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, 16150, Malaysia. hayatikk@usm.my.
Nik Hussain Nik HazlinaWomen's Health Development Unit, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, 16150, Malaysia.
Abd Aziz AnizaFaculty of Medicine, Universiti Sultan Zainal Abidin, Medical Campus, Jalan Sultan Mahmud, Kuala Terengganu, Terengganu, 20400, Malaysia.
Zaharah SulaimanWomen's Health Development Unit, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, Kelantan, 16150, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge on the factors associated with severe maternal morbidity enables a better understanding of the problem and serves as a foundation for the development of an effective preventive strategy. However, various definitions of severe maternal morbidity have been applied, leading to inconsistencies between studies. The objective of this study was to identify the sociodemographic characteristics, medical and gynaecological history, past and present obstetric performance and the provision of health care services as associated factors for severe maternal morbidity in Kelantan, Malaysia.

methodsA comparative cross-sectional study was conducted in two tertiary referral hospitals in 2014. Postpartum women with severe morbidity and without severe morbidity who fulfilled the inclusion and exclusion criteria were eligible as cases and controls, respectively. The study population included all postpartum women regardless of their age. Pregnancy at less than 22 weeks of gestation, more than 42 days after the termination of pregnancy and non-Malaysian citizens were excluded. Consecutive sampling was applied for the selection of cases and for each case identified, one unmatched control from the same hospital was selected using computer-based simple random sampling. Simple and multiple logistic regressions were performed using Stata Intercooled version 11.0.

resultsA total of 23,422 pregnant women were admitted to these hospitals in 2014 and 395 women with severe maternal morbidity were identified, of which 353 were eligible as cases. An age of 35 or more years old [Adj. OR (95 % CI): 2.6 (1.67, 4.07)], women with past pregnancy complications [Adj. OR (95 % CI): 1.7 (1.00, 2.79)], underwent caesarean section deliveries [Adj. OR (95 % CI): 6.8 (4.68, 10.01)], preterm delivery [Adj. OR (95 % CI): 3.4 (1.87, 6.32)] and referral to tertiary centres [Adj. OR (95 % CI): 2.7 (1.87, 3.97)] were significant associated factors for severe maternal morbidity.

conclusionsOur study suggests the enhanced screening and monitoring of women of advanced maternal age, women with past pregnancy complications, those who underwent caesarean section deliveries, those who delivered preterm and the mothers referred to tertiary centres as they are at increased risk of severe maternal morbidity. Identifying these factors may contribute to specific and targeted strategies aimed at tackling the issues related to maternal morbidity.

Indexed as

Cesarean SectionReferral and ConsultationAdultCase-Control StudiesCross-Sectional StudiesFemaleHumansLogistic ModelsMalaysiaMaleMaternal AgeMorbidityPostpartum PeriodPregnancyPregnancy ComplicationsPremature BirthAssociated factorsComparative studiesPregnancy complicationsSevere maternal morbidity

Identifiers

PMID27460106
PMCPMC4962372

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.