Evidence map›Paper›PMID 36823589›Full record

ArticleBMC women's health2023

Reproductive health of Syrian refugee women in Lebanon: a descriptive analysis of the Sijilli electronic health records database.

Natally AlArab, Dana Nabulsi, Nour El Arnaout, Hani Dimassi, Ranime Harb, Julien Lahoud, Lara Nahouli, Abdulghani Abou Koura, Ghaidaa El Saddik, Shadi Saleh

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 18 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

10 authors at 4 institutions in 1 country.

Natally AlArabGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Dana NabulsiGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Nour El ArnaoutGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Hani DimassiSchool of Pharmacy, Lebanese American University, Beirut, Lebanon.
Ranime HarbSchool of Pharmacy, Lebanese American University, Beirut, Lebanon.
Julien LahoudGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Lara NahouliDepartment of Obstetrics and Gynecology, American University of Beirut Medical Center, Beirut, Lebanon.
Abdulghani Abou KouraDepartment of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Ghaidaa El SaddikBeirut Arab University, Beirut, Lebanon.
Shadi SalehGlobal Health Institute, American University of Beirut, Beirut, Lebanon. ss117@aub.edu.lb.
American University of Beirut · LBAmerican University of Beirut Medical Center · LBLebanese American University · LBBeirut Arab University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Syrian conflict has been responsible for the highest exodus of refugees, with Lebanon hosting the greatest number of refugees per capita, which placed a significant strain on an already overburdened healthcare system. Women are the most vulnerable group in times of conflict and displacement, with sexual and reproductive health and rights often neglected. This study focuses on the obstetric characteristics and pregnancy outcomes of Syrian Refugee (SR) women in Lebanon, in Comparison to their pre-displacement data.

methodsThis study is a secondary analysis of de-identified data from the Sijilli database. The data reported and analyzed were the refugees' socio-demographics, obstetric history, pregnancy outcomes, experienced maternal and neonatal complications, breastfeeding history and duration, and contraception use and types. Data were reported in both frequencies and means/medians. Chi-square test, t-test, and ANOVA tests were used to compare pregnancies in Syria to those that happened in Lebanon.

resultsA total of 1065 female records were included in this study, with 634 ever-pregnant women and the total number of pregnancies being 3272. SR women were shown to get pregnant in Lebanon at a younger age compared to cases in Syria. The number of gravidities is equal in women who got pregnant in Syria and those who moved later to Lebanon. The mean spacing between pregnancies has decreased comparing SR women who got pregnant in Syria only versus those who got pregnant in Lebanon only. Among the mixed group, the mean spacing between pregnancies as well as the prevalence of spontaneous abortions significantly increased after displacing to Lebanon. C-section rate was higher among SR women after moving to Lebanon. Also, maternal complications and not breastfeeding have increased after moving to Lebanon. A prior pregnancy was significantly associated with higher contraception use rate. The most common methods of contraception were oral contraceptive pills and intra-uterine devices.

conclusionThe C-section deliveries, spontaneous abortions and maternal complications have all increased among SR women after being displaced to Lebanon. While the age at first pregnancy, mean spacing between their pregnancies and breastfeeding rates have decreased after moving to Lebanon. SR women are less likely to use contraceptives after their displacement. It is necessary to address access to reproductive healthcare and antenatal care delivery among displaced refugee women living in informal tented settlements.

Indexed as

Abortion, SpontaneousRefugeesElectronic Health RecordsFemaleHumansInfant, NewbornLebanonPregnancyPregnancy OutcomeReproductive HealthSyriaLebanonMigrationRefugeesReproductive healthSyrian refugeesWomen’s health

Identifiers

PMID36823589
PMCPMC9951425
OpenAlexW4321617519

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.