Evidence map›Paper›PMID 34702222›Full record

ArticleBMC women's health2021

The trends of women's autonomy in health care decision making and associated factors in Ethiopia: evidence from 2005, 2011 and 2016 DHS data.

Melkamu Dires Asabu, Derebe Kelkay Altaseb

Abstract read
In one paragraph

Article in BMC women's health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline 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

2 authors.

Melkamu Dires AsabuDepartment of Political Science and International Relations, Faculty of Social Sciences and Humanities, Woldia University, Woldia, Ethiopia. ketera2019@gmail.com.ORCID 0000-0003-2522-9402
Derebe Kelkay AltasebDepartment of Statistics, Faculty of Natural and Competition Sciences, Woldia University, Woldia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen's autonomy in health care decision-making is very crucial for the well-being of women themselves, their children, and the entire family members. Although studying the issue is significant to take proper interventions, the issue is not studied at a nationwide level in Ethiopia. Accordingly, this population-based nationwide study was aimed at assessing the trends of women's autonomy in health care decision-making and its associated factors in Ethiopia.

methodThe sample was limited to married women of 2005 (n = 8617), 2011 (n = 10,168), and 2016 (n = 9824) Ethiopian Demographic and Health Survey (EDHS) data. Women's autonomy in health care decision-making was measured based on their response to the question 'person who usually decides on respondent's health care. To examine associated factors, socio-demographic variables were computed using multinomial logistic regression.

resultThe finding revealed that the trend of women's autonomy in health care decision-making had declined from 18.7% in 2005 to 17.2% in 2011 albeit it had risen to 19.1% in 2016. The autonomy of women who resides in urban areas was 98.7% higher than rural residents, and those who live in the Tigray region, Somali region, and Addis Ababa are 76.6%, 79.7%, and 95.7% higher than who live in Dire Dawa respectively. Unemployed women, women aged from 15 to 24 years, and uneducated women were 45.1%, 32.4%, and 32.2% less likely autonomous in health care decision making respectively.

conclusionThe autonomy of women in health care decision-making had declined from 2005 to 2011. Therefore, the role of stakeholders in taking possible interventions like empowering women shall be strengthened. This is to protect women from certain health problems as well as for the well-being of women themselves, their children, and the entire family members.

Indexed as

Decision MakingPersonal AutonomyChildDelivery of Health CareEthiopiaFemaleHumansMarriageAutonomyDecision makingEthiopiaHealth careWomen

Identifiers

PMID34702222
PMCPMC8547022

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LicenceCC BY
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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.