Evidence map›Paper›PMID 34380466›Full record

ArticleBMC pregnancy and childbirth2021

Individual and community-level factors associated with home birth: a mixed effects regression analysis of 2017-2018 Benin demographic and health survey.

Francis Appiah, Bernard Afriyie Owusu, Josephine Akua Ackah, Patience Ansomah Ayerakwah, Vincent Bio Bediako, Edward Kwabena Ameyaw

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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 at 3 institutions in 2 countries.

Francis AppiahDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Bernard Afriyie OwusuDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana. bernard.owusu@stu.ucc.edu.gh.
Josephine Akua AckahDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Patience Ansomah AyerakwahDepartment of Optometry, University of Cape Coast, Cape Coast, Ghana.
Vincent Bio BediakoDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Edward Kwabena AmeyawFaculty of Health, School of Public Health, University of Technology Sydney, Sydney, Australia.
University of Cape Coast · GHBerekum College of EducationUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHome birth is a common contributor to maternal and neonatal deaths particularly in low and middle-income countries (LMICs). We generally refer to home births as all births that occurred at the home setting. In Benin, home birth is phenomenal among some category of women. We therefore analysed individual and community-level factors influencing home birth in Benin.

methodsData was extracted from the 2017-2018 Benin Demographic and Health Survey females' file. The survey used stratified sampling technique to recruit 15,928 women aged 15-49. This study was restricted to 7758 women in their reproductive age who had complete data. The outcome variable was home birth among women. A mixed effect regression analysis was performed using 18 individual and community level explanatory variables. Alpha threshold was fixed at 0.05 confidence interval (CI). All analyses were done using STATA (v14.0). The results were presented in adjusted odds ratios (AORs).

resultsWe found that 14% (n = 1099) of the respondents delivered at home. The odds of home births was high among cohabiting women compared with the married [AOR = 1.57, CI = 1.21-2.04] and women at parity 5 or more compared with those at parity 1-2 [AOR = 1.29, CI = 1.01-1.66]. The odds declined among the richest [AOR = 0.07, CI = 0.02-0.24], and those with formal education compared with those without formal education [AOR = 0.71, CI = 0.54-0.93]. Similarly, it was less probable for women whose partners had formal education relative to those whose partners had no formal education [AOR = 0.62, CI = 0.49-0.79]. The tendency of home birth was low for women who did not have problem in getting permission to seek medical care [AOR = 0.62, CI = 0.50-0.77], had access to mass media [AOR = 0.78, CI = 0.60-0.99], attained the recommended ANC visits [AOR = 0.33, CI = 0.18-0.63], belonged to a community of high literacy level [AOR = 0.24, CI = 0.14-0.41], and those from communities of high socio-economic status (SES) [AOR = 0.25, CI = 0.14-0.46].

conclusionThe significant predictors of home birth are wealth status, education, marital status, parity, partner's education, access to mass media, getting permission to go for medical care, ANC visit, community literacy level and community SES. To achieve maternal and child health related goals including SDG 3 and 10, the government of Benin and all stakeholders must prioritise these factors in their quest to promote facility-based delivery.

Indexed as

AdolescentAdultBeninDemographyFemaleHealth SurveysHome ChildbirthHumansMiddle AgedOdds RatioRegression AnalysisSocioeconomic FactorsYoung AdultBeninCommunity-level factorsHome birthIndividual level factorsMaternal healthPublic health

Identifiers

PMID34380466
PMCPMC8359262
OpenAlexW3189408007

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.