Evidence map›Paper›PMID 38831821›Full record

ArticleHeliyon2024

Knowledge and attitude toward cervical cancer screening among women aged 30-49 years attending selected health facilities in Ethiopia: Using structural equation model.

Teshome Demis Nimani, Feyisa Shasho Bayisa, Sara Debebe Jimma, Abainesh Tekola Assefa

RetractedAbstract readRetracted Publication
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Teshome Demis NimaniDepartment of Epidemiology and Biostatistics, School of Public Health College of Medicine and Health Science, Haramaya University, Harar, Ethiopia.
Feyisa Shasho BayisaDepartment of Epidemiology and Biostatistics, School of Public Health College of Medicine and Health Science, Haramaya University, Harar, Ethiopia.
Sara Debebe JimmaDepartment of Epidemiology and Biostatistics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Abainesh Tekola AssefaDepartment of Reproductive Health and Nutrition, School of Public Health College of Medicine and Health Science, Haramaya University, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: According to estimates, there were 570,000 new cases of cervical cancer in 2018, making it the fourth most common malignancy among women worldwide. Almost all 342,000 deaths from cervical cancer take place in low- and middle-income countries, accounting for 90 % of deaths. Few studies use structural equation modeling to comprehensively analyze the predictors of cervical cancer screening. Objective: The purpose of this study was to assess knowledge and attitude towards cervical cancer screening and its associated factors among women aged 30-49 years in Ethiopia. Methods: A facility-based cross-sectional study was conducted among eligible women attending health centers in Oromia and the southern nationality People regions. A systematic random sampling method was used to select 916 respondents. The data was collected using a structured interviewer-administered questionnaire. Structural equation modelling was employed to assess the direct and indirect relationship between knowledge and attitude toward cervical cancer screening. Results: The overall proportion of knowledge and attitude towards cervical cancer detection among women 30-49 years of age were 28 % and 57 %, respectively., income (adjusted Conclusions: and recommendation: The study highlights a lack of awareness of cervical cancer screening, highlighting the need for improved routine practices, education campaigns, and treatment provision.

Indexed as

AttitudeCervical cancerKnowledgeScreeningStructural equation model

Identifiers

PMID38831821
PMCPMC11145502

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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.