Evidence map›Paper›PMID 36813505›Full record

ArticleBMJ open2023

Maternal and infant outcomes of Syrian and Palestinian refugees, Lebanese and migrant women giving birth in a tertiary public hospital in Lebanon: a secondary analysis of an obstetric database.

Stephen J McCall, Tanya C El Khoury, Hala Ghattas, Shady Elbassuoni, Mhd Hussein Murtada, Zeina Jamaluddine, Christine Haddad, Aya Hussein, Amina Krounbi, Jocelyn DeJong and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

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

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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

12 authors.

Stephen J McCallFaculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0000-0003-0078-7010
Tanya C El KhouryCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0000-0001-7557-5982
Hala GhattasCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Shady ElbassuoniComputer Science, Faculty of Art and Sciences, American University of Beirut, Beirut, Lebanon.
Mhd Hussein MurtadaComputer Science, Faculty of Art and Sciences, American University of Beirut, Beirut, Lebanon.
Zeina JamaluddineCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0000-0003-2074-9329
Christine HaddadCenter for Research on Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Aya HusseinDepartment of Obstetrics and Gynecology, Rafik Hariri University Hospital, Beirut, Lebanon.
Amina KrounbiDepartment of Obstetrics and Gynecology, Rafik Hariri University Hospital, Beirut, Lebanon.
Jocelyn DeJongFaculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0000-0001-7262-9033
Janoub KhazaalDepartment of Obstetrics and Gynecology, Rafik Hariri University Hospital, Beirut, Lebanon.
Rabih ChahineDepartment of Obstetrics and Gynecology, Rafik Hariri University Hospital, Beirut, Lebanon rchahine968@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to assess whether the characteristics, management and outcomes of women varied between Syrian and Palestinian refugees, migrant women of other nationalities and Lebanese women giving birth at a public tertiary centre in Beirut, Lebanon.

methodsThis was a secondary data analysis of routinely collected data from the public Rafik Hariri University Hospital (RHUH) between January 2011 and July 2018. Data were extracted from medical notes using text mining machine learning methods. Nationality was categorised into Lebanese, Syrian, Palestinian and migrant women of other nationalities. The main outcomes were diabetes, pre-eclampsia, placenta accreta spectrum, hysterectomy, uterine rupture, blood transfusion, preterm birth and intrauterine fetal death. Logistic regression models estimated the association between nationality and maternal and infant outcomes, and these were presented using ORs and 95% CIs.

results17 624 women gave birth at RHUH of whom 54.3% were Syrian, 39% Lebanese, 2.5% Palestinian and 4.2% migrant women of other nationalities. The majority of women had a caesarean section (73%) and 11% had a serious obstetric complication. Between 2011 and 2018, there was a decline in the use of primary caesarean section (caesarean section performed for the first time) from 7% to 4% of births (p<0.001). The odds of preeclampsia, placenta abruption and serious complications were significantly higher for Palestinian and migrant women of other nationalities compared to Lebanese women, but not for Syrian women. Very preterm birth was higher for Syrians (OR: 1.23, 95% CI: 1.08 to 1.40) and migrant women of other nationalities (OR: 1.51, 95% CI: 1.13 to 2.03) compared to Lebanese women.

conclusionSyrian refugees in Lebanon had similar obstetric outcomes compared to the host population, except for very preterm birth. However, Palestinian women and migrant women of other nationalities appeared to have worse pregnancy complications than the Lebanese women. There should be better healthcare access and support for migrant populations to avoid severe complications of pregnancy.

Indexed as

Premature BirthRefugeesTransients and MigrantsArabsCesarean SectionFemaleHospitals, PublicHumansInfantInfant, NewbornLebanonParturitionPregnancySyriadiabetes in pregnancyepidemiologyobstetricspublic health

Identifiers

PMID36813505
PMCPMC9950922

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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.