ArticleScientific reports2025
Internet use and uptake of clinical breast examination among Kenyan women of reproductive age.
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.
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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and multilevel factors associated with clinical breast examination uptake among women in sub-Saharan Africa: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Clinical Breast Examination Uptake among Reproductive Aged Women in Zambia: Evidence from the 2024 Zambia Demographic and Health Survey.Research square · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.