Evidence map›Paper›PMID 41309733›Full record

ArticleScientific reports2025

Internet use and uptake of clinical breast examination among Kenyan women of reproductive age.

Silas Selorm Daniels-Donkor, Agani Afaya

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Silas Selorm Daniels-DonkorSchool of Nursing, University of Virginia, Charlottesville, Virginia, USA.
Agani AfayaDepartment of Nursing, School of Nursing and Midwifery, University of Health and Allied Sciences, Ho, Ghana. aagani@uhas.edu.gh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the leading cause of cancer-related mortality in women across sub-Saharan Africa. Early detection techniques, including clinical breast examination (CBE), are crucial for improving survival rates. As internet usage in Kenya increases, digital platforms may offer innovative opportunities to enhance breast cancer awareness and increase screening uptake. Nonetheless, empirical evidence regarding the association between internet usage and CBE uptake remains limited. This study seeks to examine the relational effect of internet use and CBE among women of reproductive age in Kenya. We conducted a cross-sectional analysis using data from 16,649 women aged 15-49 years who participated in the 2022 Kenya Demographic and Health Survey. The primary outcome was self-reported uptake of CBE. The main explanatory variable was frequency of internet usage, recategorized as never, rarely, and often. Logistic regression models were used to assess the association between internet usage and CBE uptake, while adjusting for sociodemographic factors such as media exposure, age, marital status, and wealth index. Among the respondents, 13.9% reported ever undergoing CBE. Frequent internet usage was reported by 53.9% of the women and was significantly associated with higher odds of CBE uptake (adjusted odds ratio [aOR] = 1.53; 95% confidence interval [CI]: 1.35-1.75) compared to non-users. Other factors positively associated with CBE uptake included older age (35-49 years: aOR = 3.78; 95% CI: 3.18-4.49), higher education levels (secondary or higher: aOR = 3.69; 95% CI: 2.70-5.04), higher wealth index (rich: aOR = 1.86; 95% CI: 1.54-2.23), media exposure (aOR = 1.38; 95% CI: 1.12-1.71), and recent health facility visits (aOR = 1.75; 95% CI: 1.56-1.95). Frequent internet usage is associated with a higher participation in CBE among women in Kenya. These findings suggest that digital platforms may be utilized to enhance early detection of breast cancer. Future interventions should investigate the integration of digital health initiatives with community-based screening programs to enhance breast cancer outcomes in Kenya.

Indexed as

Breast NeoplasmsBreast Self-ExaminationEarly Detection of CancerInternetInternet UseAdolescentAdultCross-Sectional StudiesFemaleHumansKenyaMiddle AgedYoung AdultBreast cancerClinical breast examinationInternet usageKenya

Identifiers

PMID41309733
PMCPMC12663540

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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.