Evidence map›Paper›PMID 42394643›Full record

ArticleF1000Research2025

Exploring Infertility in Saudi Arabia: Qualitative Insights into IVF Treatment Services and Policy Recommendations.

Ameina Ahmed D Alshallali, Deema Saad Al Shawan

Abstract read
In one paragraph

Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ameina Ahmed D AlshallaliPublic Health, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID https://orcid.org/0009-0000-6855-4016
Deema Saad Al ShawanPublic Health, Imam Abdulrahman Bin Faisal University, Dammam, Eastern Province, Saudi Arabia.ORCID https://orcid.org/0000-0003-4571-3832

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infertility is an increasing global health concern, including in Saudi Arabia. This study aimed to explore patients' perceptions of infertility and in vitro fertilization services, focusing on knowledge, experiences, and barriers to treatment among couples in Khobar and Dammam. Methods: This study employed a descriptive phenomenological qualitative method, specifically using a hybrid thematic analysis approach that incorporates both deductive and inductive coding. The data triangulation method was used to ensure the accuracy of the data. Therefore, participants were categorized into three groups: patients, physicians, and administrative staff at IVF centers. Data was collected through interviews. Data saturation was achieved with fifteen participants. Results: Three main themes emerged: perceptions of infertility, perceptions of infertility services, and barriers to treatment. Participants perceived infertility, particularly male infertility, to be increasing; however, the lack of a national registry limits an accurate prevalence estimate. Key barriers included financial burden due to limited insurance coverage, societal influences, lengthy treatment processes, and limited awareness. Conclusions: Expanding insurance coverage, providing financial assistance, and implementing awareness initiatives may help improve access to infertility treatment and reduce stigma. Establishing a national registry could also support better planning and improvement of infertility services.

Indexed as

Fertilization in VitroHealth PolicyInfertilityAdultFemaleHumansMaleSaudi ArabiaBarriers to infertility treatmentfemale factor infertilityinfertilityin-vitro fertilizationIVFmale factor infertilityprimary infertilitysecondary infertility

Identifiers

PMID42394643
PMCPMC13320124

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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.