Conectar
by Berihun Agegn Mengistie, Getie Mihret Aragaw, Tazeb Alemu Anteneh, Kindu Yinges Wondie, Alemneh Tadesse Kassie, Alemken Eyayu Abuhay, Wondimnew Mersha Biset, Gebrye Gizaw Mulatu, Nuhamin Tesfa Tsega
BackgroundPrecancerous cervical lesions, or cervical intraepithelial neoplasia (CIN), represent a significant precursor to cervical cancer, posing a considerable threat to women’s health globally, particularly in developing countries. In Africa, the burden of premalignant cervical lesions is not well studied. Therefore, the main purpose of this systematic review and meta-analysis was to determine the overall prevalence of precancerous cervical lesions and identifying determinants among women who underwent cervical cancer screening in Africa.
MethodsThis study followed the Preferred Reporting Item Review and Meta-analysis (PRISMA) guidelines. The protocol for this systematic review and meta-analysis was registered on the International Prospective Register of Systematic Reviews (PROSPERO) (ID: CRD42025645427). We carried out a systematic and comprehensive search on electronic databases such as PubMed and Hinari. In addition, Google Scholar and ScienceDirect were utilized to find relevant studies related to precancerous cervical lesions. Data from the included studies were extracted using an Excel spreadsheet and analyzed using STATA version 17. The methodological quality of the eligible studies was examined using the Joanna Briggs Institute (JBI) assessment tool. Publication bias was checked by using the funnel plot and Egger’s tests. A random-effects model using the Der Simonian Laird method was used to estimate the pooled prevalence of pre-cancerous cervical lesions in Africa. The I-squared and Cochrane Q statistics were used to assess the level of statistical heterogeneity among the included studies.
ResultsA total of 112 eligible articles conducted in Africa, encompassing 212,984 study participants, were included in the quantitative meta-analysis. Thus, the pooled prevalence of pre-cancerous cervical lesions in Africa was 17.06% (95% confidence interval: 15.47%−18.68%). In this review, having no formal education (AOR = 4.07, 95% CI: 1.74, 9.53), being rural dweller(AOR = 2.38, 95% CI: 1.64, 3.46), history of STIs (AOR = 3.94, 95% CI: 2.97, 5.23), history of having multiple partners (AOR = 2.73, 95% CI: 2.28, 3.28), early initiation of coitus (AOR = 2.77, 95% CI: 2.11, 3.62), being HIV-seropositive women (AOR = 3.33, 95% CI: 2.32, 4.78), a CD4 count Conclusions
In Africa, the overall prevalence of pre-cancerous cervical lesions is high (17%). The findings of this review highlight that health professionals, health administrators, and all other concerned bodies need to work in collaboration to expand comprehensive cervical cancer screening methods in healthcare facilities for early detection and treatment of cervical lesions. In addition, increasing community awareness and health education, expanding visual inspection of the cervix with acetic acid in rural areas, offering special attention to high-risk groups (HIV-positive women), encouraging adherence to antiretroviral therapy for HIV-positive women, overcoming risky sexual behaviors and practices, and advocating early detection and treatment of precancerous cervical lesions.
To explore perceptions of digitalisation and patient safety from the view of the German general public and related sociodemographic factors.
Cross-sectional survey.
A nationwide survey was undertaken in 2024, using data from the Techniker Krankenkasse (TK) Monitor of Patient Safety. The TK Monitor of Patient Safety is an annual survey of the population on the state of patient safety in medical care.
1000 German adults (18 years and older).
Ordinal logistic regression analyses were performed to investigate the associations among sociodemographic factors (age, gender, education and household income) and perceptions on digitalisation and patient safety.
The majority of respondents expected benefits from digital applications in healthcare. Over half of the respondents (58%) believed that artificial intelligence (AI) can help reduce complications and errors, while 49% of the respondents believed that the use of AI poses serious new risks for the healthcare sector. The results showed that sociodemographic variables are important factors influencing patient safety perceptions of digitalisation and AI. Female, older, less educated and/or lower-income individuals were less likely to perceive benefits from digital care applications and AI.
In our study, the German public appears to view digital technologies and AI as tools both for improving patient safety and as potential risk factors. Our findings also highlight the importance of analysing sociodemographic factors to identify specific disparities in how different groups are affected by digitalisation. Such analysis is essential for developing targeted strategies that mitigate current patient safety risks, ensuring that digital health solutions are equitable and safe across all demographic groups.
FreshRSS 