Evidence map›Paper›PMID 33149701›Full record

ArticleInternational journal of women's health2020

Predictors of Intention to Use Maternity Waiting Home Among Pregnant Women in Bench Maji Zone, Southwest Ethiopia Using the Theory of Planned Behavior.

Tadesse Nigussie, Rahel Yaekob, Mesfin Geremew, Adane Asefa

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Article in International journal of women's health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tadesse NigussieDepartment of Public Health, College of Health Science, Mizan-Tepi University, Mizan-Aman, Ethiopia.ORCID 0000-0003-3123-5809
Rahel YaekobDepartment of Midwifery, College of Health Science, Mizan-Tepi University, Mizan-Aman, Ethiopia.
Mesfin GeremewDepartment of Public Health, College of Health Science, Mizan-Tepi University, Mizan-Aman, Ethiopia.
Adane AsefaDepartment of Public Health, College of Health Science, Mizan-Tepi University, Mizan-Aman, Ethiopia.ORCID 0000-0001-9374-978X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnding preventable maternal mortality remains an unfinished agenda and one of the world's most critical challenges. Skilled care at birth is one of the crucial strategies that help to prevent deaths that occur during delivery. Maternity waiting homes have been endorsed to facilitate access to skilled care during intra-partum and post-partum periods for women living in rural areas. However, the majority of pregnant mothers in Ethiopia do not use this service; hence, this study aimed to assess the predictors of intention to use maternity waiting home.

methodsA community-based cross-sectional study was conducted from March 15 to June 20, 2018 in Bench Maji Zone, Southwest Ethiopia. A multistage sampling technique was used. The data were collected by trained data collectors using a structured pre-tested questionnaire. Data were entered into the epi data manager version 4.0.2.101 and exported to SPSS version 21 for analysis. The correlation among constructs of the theory of planned behavior was estimated. A hierarchical linear regression was used to identify predictors of intention to use maternity waiting home, and α value of less than 5% was used as a level of significance.

resultsA total of 829 women were interviewed. The mean age of respondents was 27.1 (±5.2) years. Thirty-nine percent of the respondents used maternity waiting home previously. The attitude (β =0.12, p<0.001), subjective norm (β =0.47, p<0.001), perceived behavioral control (β =0.42, p<0.001), and ANC use during current pregnancy (β =0.07, p=0.030) were predictors of intension to use maternity waiting homes. R square was calculated to be 81%.

conclusionThe intention to use maternity waiting homes was significantly associated with antenatal care use, attitude, subjective norm, and perceived behavioral control. Thus, multidimensional interventions are important to increase the intension to use MWH.

Indexed as

behaviorintentionmaternity waiting hometheory of planned behavior

Identifiers

PMID33149701
PMCPMC7602906

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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.