Evidence map›Paper›PMID 38491430›Full record

ArticleBMC pregnancy and childbirth2024

Exploring the lived experiences of women with multiple gestations in Iran: a phenomenological study.

Zhina Banafshi, Alireza Khatony, Amir Jalali, Rostam Jalali

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 3 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

4 authors at 1 institution in 1 country.

Zhina BanafshiStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Alireza KhatonyKermanshah University of Medical Sciences, Kermanshah, Iran.
Amir JalaliKermanshah University of Medical Sciences, Kermanshah, Iran.
Rostam JalaliKermanshah University of Medical Sciences, Kermanshah, Iran. Ks_jalali@yahoo.com.
Kermanshah University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple gestations present numerous physical, psychological, social, and economic challenges for women. Understanding the problem-solving experiences of pregnant women carrying multiple can be invaluable. This study aimed to explore the experiences of Iranian women with multiple gestations.

methodsThis descriptive phenomenological study utilized purposive sampling and continued until data saturation. Data collection involved in-depth semi-structured interviews, with analysis performed using Colaizzi's 7-step method. MAXQDA software was employed for data management.

resultsThis study involved 12 women with multiple gestations. The average age of the participants was 33.76 ± 6.22 years, and 9 were pregnant with triplets. The data were categorized into four primary themes: the paradox of emotions, the pregnancy prison, immersion in fear, and the crystallization of maternal love, encompassing 17 sub-themes.

conclusionPregnant women with multiple gestations undergo various changes and experience conflicting emotions. Enhancing their ability to adapt to and accept numerous pregnancies can be achieved through supportive, personalized, and family-centered care, along with improvements and revisions in care policies for multiple gestations.

Indexed as

Pregnancy, MultiplePregnant PeopleAdultEmotionsFamilyFemaleHumansIranPregnancyQualitative ResearchLived experiencesMultiple pregnancyPhenomenological researchPregnancyQualitative researchWomen

Identifiers

PMID38491430
PMCPMC10941611
OpenAlexW4392851576

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.