Evidence map›Paper›PMID 35996082›Full record

ArticleBMC pregnancy and childbirth2022

Determinants of maternal near miss events among women admitted to tertiary hospitals in Mogadishu, Somalia: a facility-based case-control study.

Hassan Abdullahi Dahie

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
9.9field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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 at 1 institution in 1 country.

Hassan Abdullahi DahieDepartment of Nursing and Midwifery, Faculty of Medicine and Health Sciences, SIMAD University, Mogadishu, Somalia. dahie@simad.edu.so.
SIMAD University · SO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA maternal near-miss is a situation in which a woman was on the verge of death but survived a life-threatening obstetric complication that happened during pregnancy, childbirth, or within 42 days after the pregnancy's termination. Survivors of near-miss events share several features with mothers who have died and identifying determinants of maternal near miss will aid in improving the capacity of the health system to reduce severe maternal morbidity and mortality. Therefore, this study was designed to identify determinants of maternal near miss incidents among women hospitalized to tertiary hospitals in Mogadishu, Somalia.

methodsA facility-based unmatched case-control study was conducted in four tertiary hospitals in Mogadishu from May 1 to July 31, 2021. A total of five hundred thirty-three (178 cases and 355 controls) study participants were involved in the study. The discharge period, cases were recruited consecutively as they emerged, whereas controls were chosen using systematic sampling approach based on every fifth interval of those delivered through normal spontaneous vaginal delivery. Women who were hospitalized during pregnancy, delivery, or within 42 days of termination of pregnancy and met at least one of the maternal near-miss disease specific criteria were classified as cases, while women who were admitted and gave birth by normal vaginal delivery and resealed from the hospital without experiencing severe obstetric complications were considered controls. Participants were interviewed by well-trained research assistants using pre-tested structured questionnaire and the medical records were reviewed to identify maternal near-miss cases. Data were entered into and analyzed with SPSS 25.0. Logistic regression was used, and the significance level was set at p value ≤ 0.05.

resultsThe most common maternal near-miss morbidities identified were severe anemia (32%), severe pre-eclampsia (19.6%), severe ante partum haemorrhage (15.0%), abortion complications (8.4%), eclampsia (6.1%), ICU admission (5.6%), severe PPH (2.8%) and severe systemic infections (2.8%). The main factors associated with maternal near-miss were rural residency [OR = 2.685, 95%CI: (1.702-4.235)], age below 20 years [OR = 2.728, 95%CI: (1.604-4.5640)], unmarried [OR = 2.18, 2.18, 95%CI (1.247-3.81)], lack of formal education [OR = 2.829, 95%CI: (1.262-6.341)], husband's unemployment [OR = 2.992, 95%CI: (1.886-4.745)], low family income [OR = 3.333, 95%CI (1.055-10.530)], first pregnancy before 18 years of age [OR = 3.091, 95% CI: (2.044-4.674)], short birth interval [OR = 5.922, 95%CI: (3.891-9.014)], previous history of obstetric complication [OR = 6.568, 95%CI: (4.286-10.066)], never attended ANC services [OR = 2.687, 95%CI: (1.802-4.006)], lack of autonomy in seeking medical help [OR = 3.538, 95%CI: (1.468-8.524)], delivery at non-health facility setting [OR = 4.672, 95%CI: (3.105-7.029)], experiencing the second delay [OR = 1.773, 95% CI: (1.212-2.595)] and stillbirth of the last pregnancy [OR = 5.543, 95%CI: (2.880-10.668)].

conclusionand recommendation. Lack of maternal education, lack of antenatal care, lack of autonomy to seek medical assistance, short birth interval, rural residence and delay in accessing obstetric services were identified as factors associated with maternal near-miss morbidity. As a result, the study suggests that those modifiable characteristics must be improved in order to avoid severe maternal complications and consequent maternal death.

Indexed as

Near Miss, HealthcarePregnancy ComplicationsAdultCase-Control StudiesFemaleHumansMaternal MortalityPregnancySomaliaTertiary Care CentersYoung AdultChildbirthMaternal near-missMaternity servicesPregnancy

Identifiers

PMID35996082
PMCPMC9396757
OpenAlexW4292608061

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.