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Introduction: Anxiety and depression are among the common comorbidities of people diagnosed with cancer. However, despite the progress in therapeutic options and outcomes, mental health care and support have lagged behind for cancer patients. Estimating the extent and determinants of mental health disorders among cancer patients is crucial to alert concerned bodies for action. In view of this, we aimed to determine the pooled prevalence and determinants of anxiety and depression among cancer patients in Ethiopia. Methods: Relevant literatures were searched on PubMed, African Journals Online, Hinari, Epistemonikos, Scopus, EMBASE, CINAHL, Cochrane Library, and Gray literature sources. Data were extracted into an Excel spreadsheet and analyzed using STATA 17 statistical software. The random effect model was used to summarize the pooled effect sizes with their respective 95% confidence intervals. The I2 statistics and Egger's regression test in conjunction with the funnel plot were utilized to evaluate heterogeneity and publication bias among included studies respectively. Results: A total of 17 studies with 5,592 participants were considered in this review. The pooled prevalence of anxiety and depression among cancer patients in Ethiopia were 45.10% (95% CI: 36.74, 53.45) and 42.96% (95% CI: 34.98, 50.93), respectively. Primary and above education (OR= 0.76, 95% CI: 0.60, 0.97), poor social support (OR= 2.27, 95% CI: 1.29, 3.98), occupational status (OR= 0.59; 95% CI: 0.43, 0.82), advanced cancer stage (OR= 2.19, 95% CI: 1.38, 3.47), comorbid illness (OR= 1.67; 95% CI: 1.09, 2.58) and poor sleep quality (OR= 11.34, 95% CI: 6.47, 19.89) were significantly associated with depression. Whereas, advanced cancer stage (OR= 1.59, 95% CI: 1.15, 2.20) and poor sleep quality (OR= 12.56, 95% CI: 6.4 1, 24.62) were the factors associated with anxiety. Conclusion: This meta-analysis indicated that a substantial proportion of cancer patients suffer from anxiety and depression in Ethiopia. Educational status, occupational status, social support, cancer stage, comorbid illness and sleep quality were significantly associated with depression. Whereas, anxiety was predicted by cancer stage and sleep quality. Thus, the provision of comprehensive mental health support as a constituent of chronic cancer care is crucial to mitigate the impact and occurrence of anxiety and depression among cancer patients. Besides, families and the community should strengthen social support for cancer patients. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42023468621.
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INTRODUCTION: Although cervical cancer screening is one of the most effective strategies to reduce the incidence and mortality of cervical cancer, the percentage of cervical cancer screening in low- and middle-income counties is low. In Kenya, the current nationwide prevalence and associated factors for the detection of cervical cancer is unknown. Therefore, this study aimed to assess the prevalence and associated factors for the detection of cervical cancer screening among women of reproductive age in Kenya using the Kenyan Demographic and Health Survey 2022. METHODS: This study used the most recent Kenyan Demographic and Health Survey data (2022) with a total weighted sample of 16,901 women. A mixed effects logistic regression analysis was performed and in the multivariable analysis, variables with a p-value below 0.05 were considered statistically significant. The strength of the association was evaluated using adjusted odds ratios along with their corresponding 95% confidence intervals. RESULTS: The prevalence of cervical cancer screening in Kenya was 16.81%(95% CI: 16.24, 17.38%). Having a history of abortion (AOR = 1.33, 95% CI: 1.171.50, 1.43), using modern contraceptive methods (AOR = 1.57, 95% CI: 1.25, 1.95), media exposure (AOR = 1.31, 95%CI: 1.03, 1.65), primary education (AOR = 1.56, 95%CI: 1.09, 2.22), secondary education (AOR = 21.99, 95% CI: 1.1.38, 2.87), higher education (AOR = 2..50, 95% CI: 1.71, 3.65), visiting health facility within the past 12 months (AOR = 1.61, 95%CI: 1.46, 1.79), positive HIV status (AOR: 3.50, 95% CI: 2.69, 4.57), being from a community with a higher proportion of educated individuals (AOR = 1.37, 95%CI: 1.13, 1.65) and being from a community with high proportion of poor individuals (AOR = 0.72, 9 5%CI: 0.60-0.87)) were significantly associated with cervical cancer screening. CONCLUSION: In Kenya, the prevalence of cervical cancer screening was found to be low. A history of abortion, use of modern contraceptives, exposure to the media, visits to health facilities in the past 12 months, HIV status, level of education, community educational level, and community wealth were identified as significant associated factors for cervical cancer screening. Therefore, it is recommended to implement targeted public health interventions that focus on these identified factors to improve the adoption of cervical cancer screening in Kenya.