Evidence map›Paper›PMID 37942028›Full record

ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2023

Determinants of non-institutional childbirth: Evidence from the Peruvian demographic and health survey.

Paola K Rodrigo-Gallardo, Brenda Caira-Chuquineyra, Daniel Fernandez-Guzman, Diego Urrunaga-Pastor, Rodrigo Alejandro-Salinas, Angie Z Vasquez-Chavesta, Carlos J Toro-Huamanchumo

Abstract read
In one paragraph

Article in European journal of obstetrics & gynecology and reproductive biology: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

7 authors.

Paola K Rodrigo-GallardoEscuela Profesional de Medicina, Universidad Particular de Chiclayo, Chiclayo, Peru.
Brenda Caira-ChuquineyraFacultad de Medicina, Universidad Nacional de San Agustín de Arequipa, Arequipa, Peru.
Daniel Fernandez-GuzmanEscuela Profesional de Medicina Humana, Universidad Nacional de San Antonio Abad del Cusco, Cusco, Peru.
Diego Urrunaga-PastorFacultad de Ciencias de la Salud, Carrera de Medicina Humana, Universidad Científica del Sur, Lima, Peru.
Rodrigo Alejandro-SalinasUniversidad Peruana de Ciencias Aplicadas, Lima, Peru.
Angie Z Vasquez-ChavestaEscuela de Medicina Humana, Universidad Católica Santo Toribio de Mogrovejo, Chiclayo, Peru.
Carlos J Toro-HuamanchumoUnidad para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to evaluate the determinants of non-institutional delivery among women of childbearing age in Peru. Methods: We conducted a secondary analysis of data from the Peru 2019 Demographic and Family Health Survey (ENDES). This multi-stage survey sampling is representative at the urban-rural, regional, and national levels. The outcome variable was place of delivery, collected by self-reporting. Binary logistic regression models were used to assess the factors associated with non-institutionalized delivery. Thus, we estimated crude and adjusted odd ratios (aOR). For the multivariable model, the manual forward selection method and the Wald test were used to obtain a final parsimonious model. Results: The final sample included 14,061 women of reproductive age between the ages of 15 and 49. The prevalence of non-institutional delivery was 7.8 %. Multivariate regression analysis found that having a secondary education (aOR:0.48; 95 % confidence interval [CI]:0.39-0.58) or higher (aOR:0.57; 95 %CI:0.42-0.78); belonging to the second (aOR:0.26; 95 %CI:0.20-0.33), third (aOR:0.28; 95 %CI:0.21-0.38), fourth (aOR:0.21; 95 %CI:0.13-0.33), or fifth wealth quintile (aOR:0.15; 95 %CI:0.09-0.27); and suffering intimate partner violence (aOR:0.76; 95 %CI:0.64-0.91) were associated with lower odds of non-institutional delivery, while not having some type of health insurance (aOR:3.12; 95 %CI:2.47-3.95), living in a rural area (aOR:1.93; 95 %CI:1.54-2.42), and having had three or more deliveries (aOR:1.36; 95 %CI:1.07-1.72), were associated with higher odds of non-institutional delivery. Conclusions: We found that not having health insurance, residing in a rural area, and having had three or more deliveries were factors associated with non-institutional delivery in women of childbearing age. We propose that should focus public health strategies towards providing education to women about maternal health, and likewise, facilitating access to specialized health centers for rural populations.

Indexed as

DeliveryDeterminantsHealth surveysHome childbirthPeru

Identifiers

PMID37942028
PMCPMC10628643

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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.