Evidence map›Paper›PMID 27514824›Full record

ArticleBMC pregnancy and childbirth2016

Reasons for current pregnancy amongst grand multiparous Gambian women - a cross sectional survey.

Patrick Idoko, Glenda Nkeng, Matthew Anyawu

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 17 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

3 authors at 2 institutions in 1 country.

Patrick IdokoEdward Francis Small Teaching Hospital, Independence Drive, Banjul, The Gambia. patidoko@gmail.com.
Glenda NkengSchool of Medical and Allied Health Sciences, University of The Gambia, Independence Drive, Banjul, The Gambia.
Matthew AnyawuEdward Francis Small Teaching Hospital, Independence Drive, Banjul, The Gambia.
University of the Gambia · GMEdward Francis Small Teaching Hospital · GM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile grand multiparity is now relatively rare in the developed world it is still common in Sub Saharan Africa. Although significant resources have been committed to providing modern contraceptive methods in the Gambia, the total fertility rate is still high at 5.6. Determining the reasons grand multiparous women proffer for the current pregnancy may help in understanding this trend and tailoring appropriate messages to address any specific concerns.

methodA cross sectional survey of grand multiparous women was carried out at the Royal Victoria Teaching Hospital (now Edward Francis Small Teaching Hospital) to determine the reasons for the current pregnancy.

resultsThe prevalence of grand multiparity was 26.5 % while the average parity among the study population was 7.2 (sd 1.8). The most common reasons given for the current pregnancy were: the desire for another child (22.8 %), the pregnancy was unplanned - a "mistake" (18.4 %) and the need to replace a dead child (15.4 %).

conclusionGrand multiparity is still very common in The Gambia. Additional efforts are required to target those with unplanned pregnancies. Improving child survival may also decrease the prevalence of grand multiparity.

Indexed as

ParityAdultCross-Sectional StudiesFamily CharacteristicsFemaleGambiaHumansMiddle AgedPregnancyPregnancy, UnplannedPregnant PeopleReproductive BehaviorSurveys and QuestionnairesYoung AdultContraceptionGambiaGrand multiparityReasons

Identifiers

PMID27514824
PMCPMC4982305
OpenAlexW2508294154

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.