Evidence map›Paper›PMID 38898539›Full record

ArticleContraception and reproductive medicine2024

Unmet need for family planning among Syrian migrant women living in Turkey and its determinants.

Sema Cifci, Sibel Icke, Sevil Hakimi

Abstract read
In one paragraph

Article in Contraception and reproductive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Sema CifciFaculty of Health Science, Department of Nursing, Mardin Artuklu University, Mardin, Turkey.ORCID http://orcid.org/0000-0003-3297-2931
Sibel IckeFaculty of Health Science, Department of Midwifery, Mardin Artuklu University, Mardin, Turkey.ORCID http://orcid.org/0000-0002-9580-3505
Sevil HakimiFaculty of Health Sciences. Department of Midwifery, EGE University, Izmir, Turkey. sevil.hakimi@ege.edu.tr.ORCID http://orcid.org/0000-0002-3164-4867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMigrant women might be cannot benefit from health services sufficiently. The unmet need for family planning is among the pivotal indicators for measuring progress toward improving maternal and child health. The aim of this study was to identify the unmet need for family planning (UMNFP) among Syrian migrant women living in Mardin and its determinants. MATERIAL AND

methodsThe study was conducted in Mardin. Data were gathered during home visits Data collection tools were socio-demographic and reproductive health questionnaires. The statistical analysis was performed using SPSS software. Qualitative variables were presented by number and percentage. Quantitative variables were presented by means (standard deviation). To determine, the determinants of UMNFP binary logistic regression was used.

resultsThe result of this study showed that prevalence of UMNFP was 35%. Woman's low educational level (OR:5.42, CI95%:2.43-8.94), history of un intended pregnancy(OR:1.43, CI95%:1.1-1.94) and induced abortion (OR:1.76, CI95%: 1.41-2.21), not having husband's regular job(OR: 2.24, CI95%:1.92-3.78) and lack of woman`s autonomy in decision related to use of contraception methods(OR:3.21, CI95%: 1.78-6.12) were determinants of UMNFP.

conclusionThe prevalence of UMNFP among Syrian immigrants living in Mardin was considerable. Understanding the challenges and the barriers impacting use of contraception including cultural norms as well, as social and language obstacles are essential to decrease UMNFP.

Indexed as

ImmigrantsRefugeesSyriaUnmet need for family planning

Identifiers

PMID38898539
PMCPMC11188515

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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.