Evidence map›Paper›PMID 41879198›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Spatial Distribution of No-Knowledge on Modern Contraceptive Methods Among Reproductive Age Women and Predictors in Ethiopia: Evidence From 2016 EDHS.

Mulugeta Desalegn Kasaye, Robel Asaminew Mekonnen, Anas Ali Alhur

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mulugeta Desalegn KasayeDepartment of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID 0000-0002-3968-2518
Robel Asaminew MekonnenDepartment of Pediatrics and Child Health, School of Medicine, Wollo University, Dessie, Ethiopia.
Anas Ali AlhurUniversity of Hail, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Though contraception has a significant importance for reproductive-age women, its knowledge among women has challenged by different barriers. Due to the growing concern regarding the poor knowledge and awareness of modern contraceptive methods among women, critical speculation for the contributing factors is quite important. This study then aimed to determine the prevalence and associated factors of women with no knowledge of modern contraceptive methods in Ethiopia. A cross-sectional survey data (EDHS-2016) was analyzed, including 15 604 reproductive-age women, concerning no-knowledge of modern contraceptive methods. We presented descriptive statistics using means, standard deviations, and proportions. The global Moran's I statistic was employed to check the distribution. To spot spatial locations, Getis*-Ord-Gi statistics was applied, and spatial interpolation was applied to predict unknown locations of the outcome using the Ordinary-Kriging method. SatScan was used to identify the specific local clustering nature using the Bernoulli method. Multilevel-binary-logistic regression is used for inspecting individual and community-level factors.

Indexed as

ContraceptionContraception BehaviorHealth Knowledge, Attitudes, PracticeAdolescentAdultCross-Sectional StudiesEthiopiaFemaleHumansSocioeconomic FactorsYoung AdultEthiopiamodern contraceptionno knowledgereproductive age womenspatial distribution

Identifiers

PMID41879198
PMCPMC13018693

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.