Evidence map›Paper›PMID 23451561›Full record

ArticleMalawi medical journal : the journal of Medical Association of Malawi2011

Determinants of non-institutional deliveries in Malawi.

Martin Palamuleni

Abstract read
In one paragraph

Article in Malawi medical journal : the journal of Medical Association of Malawi, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Determinants of non-institutional childbirth: Evidence from the Peruvian demographic and health survey.European journal of obstetrics & gynecology and reproductive biology: X · 2023
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  13. Childbirth at home and associated factors in Ethiopia: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2021
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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

1 author.

Martin PalamuleniNorth West University, Mafikeng Campus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malawi has one of the highest maternal mortality ratios in the world. One of the factors contributing to high maternal mortality is the non-use of health facilities during pregnancy and delivery. The aim of this study is to examine the factors associated with non-institutional deliveries in Malawi. Data from 2004 Malawi Demographic and Health Survey and multinomial logistic regression were used to assess the association between place of delivery and selected socio-economic factors. The study population comprised of 7,218 women, who had at least one child, aged less than five years, at the time the survey. Of these women, 58% delivered at a health facility, 29.4% delivered at home and 12.6% delivered at the home of a traditional birth attendant. Multivariate analysis indicate that region (OR = 1.29 for Central Region), place of residence (OR=0.319 for urban areas), wealth status (OR=6.289 for poor, OR=4.683 for middle), education (OR=3.823 for no education, OR=2.265 for primary education), number of prenatal visits (OR=4.732 no visits, OR=1.696 1-3 visits) and ever use of family (OR=1.29 for never used) showed significant association with non-institutional deliveries. These factors should be considered in designing strategies to improve the maternal health care system in Malawi.

Indexed as

Delivery, ObstetricAdolescentAdultFemaleHealth Knowledge, Attitudes, PracticeHealth Services AccessibilityHealth SurveysHome ChildbirthHumansLabor, ObstetricMalawiMaleMaternal AgeMaternal Health ServicesMiddle AgedMultivariate Analysis

Identifiers

PMID23451561
PMCPMC3588574

What OpenQuestion holds

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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.