Evidence map›Paper›PMID 25991459›Full record

ArticleBMJ open2015

Predictors of skilled attendance at delivery among antenatal clinic attendants in Ghana: a cross-sectional study of population data.

Mary Amoakoh-Coleman, Evelyn K Ansah, Irene Akua Agyepong, Diederick E Grobbee, Gbenga A Kayode, Kerstin Klipstein-Grobusch

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Mary Amoakoh-ColemanJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands School of Public Health, University of Ghana, Legon, Ghana.
Evelyn K AnsahResearch and Development Division, Ghana Health Service, Accra, Ghana.
Irene Akua AgyepongDepartment of Health Policy Planning and Management, School of Public Health, University of Ghana, Legon, Ghana.
Diederick E GrobbeeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
Gbenga A KayodeJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
Kerstin Klipstein-GrobuschJulius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands Faculty of Health Sciences, Division of Epidemiology & Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.

Funding

Stroke and Cardiovascular Research Training (SCaRT) InstituteD43TW009140 · FIC · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADANU, RICHARD M K, ALABI, SULYMAN BIODUN · 2011 to 2023
$2.5M
FIC NIH HHS D43 TW009140
6 · The paper itself

Abstract

objectiveTo identify demographic, maternal and community predictors of skilled attendance at delivery among women who attend antenatal clinic at least once during their pregnancy in Ghana.

designA cross-sectional study using the 2008 Ghana Demographic and Health Survey (DHS) data. We used frequencies for descriptive analysis, χ(2) test for associations and logistic regression to identify significant predictors. Predictive models were built with estimation of area under the receiver operating characteristic curves (AUC).

settingGhana.

participantsA total of 2041 women who had a live birth in the 5 years preceding the survey, and attended an antenatal clinic having a skilled provider, at least once, during the pregnancy. OUTCOME: Skilled attendance at delivery.

resultsOverall, 60.5% (1235/2041) of women in our study sample reported skilled attendance at delivery. Significant positive associations existed between skilled attendance at delivery and the variables such as maternal educational level, wealth status class, ever use of contraception, previous pregnancy complications and health insurance coverage (p<0.001). Significant predictors of skilled attendance were wealth status class, residency, previous delivery complication, health insurance coverage and religion in a model with AUC (95% CI) of 0.85 (0.83 to 0.88).

conclusionsWomen less likely to have skilled attendance at delivery can be identified during antenatal care by using data on wealth status class, health insurance coverage, residence, history of previous birth complications and religion, and targeted with interventions to improve skilled attendance at delivery.

Indexed as

AdolescentAdultAmbulatory Care FacilitiesCross-Sectional StudiesDelivery, ObstetricEducational StatusFemaleGhanaHumansInsurance, HealthLogistic ModelsMaternal Health ServicesMiddle AgedPregnancyRural PopulationSocial ClassEPIDEMIOLOGY

Identifiers

PMID25991459
PMCPMC4442247

What OpenQuestion holds

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LicenceCC BY-NC
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.