Lahole Begetayinoral Kussia, Simon Tesfahun, Ewunetu Wondimu, Kussia Wondafrash
Department of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
School of Anesthesia, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
BMJ Public Health. 2024 Jul 30;2(1):e000585. doi: 10.1136/bmjph-2023-000585. eCollection 2024 Jun.
The incidence and fatality rates associated with cervical cancer are continuously decreased by cervical cancer screening. However, in underdeveloped nations such as Ethiopia, very few women have undergone cervical cancer screening. There is a scarcity of nationally summarised data in Ethiopia on women's intention to use cervical cancer screening and its determinants. Therefore, this protocol describes a planned systematic review and meta-analysis that will evaluate the intention to use cervical cancer screening and its predictors among women of childbearing age in Ethiopia.
The online databases of EMBASE, PubMed, CINAHL, Web of Science, Cochrane Library, HINARI, Google Scholar, and African Journals online databases will be comprehensively searched from 1 January 2014 to 31 December 2023. The Joanna Briggs Institute quality rating instrument will be used to assess the quality of the included studies. The STATA V.17 statistical software will be used for data analysis. The inverse variance (I) and Cochran Q statistics will be used to examine the heterogeneity between studies. A random effects model will be used to calculate the pooled prevalence of intention towards cervical cancer screening with a 95% CI. To determine publication bias, a funnel plot, the Egger and Begg test, and a 5% significance level will be used.
There is no need for ethical approval. The results will be disseminated to academic beneficiaries and the public.
CRD42023440970.
宫颈癌筛查持续降低了宫颈癌的发病率和死亡率。然而,在埃塞俄比亚等不发达国家,很少有女性接受过宫颈癌筛查。埃塞俄比亚缺乏关于女性使用宫颈癌筛查的意愿及其决定因素的全国性汇总数据。因此,本方案描述了一项计划中的系统评价和荟萃分析,该分析将评估埃塞俄比亚育龄妇女使用宫颈癌筛查的意愿及其预测因素。
将全面检索2014年1月1日至2023年12月31日期间的EMBASE、PubMed、CINAHL、科学网、Cochrane图书馆、HINARI、谷歌学术和非洲期刊在线数据库等在线数据库。将使用乔安娜·布里格斯研究所质量评级工具评估纳入研究的质量。将使用STATA V.17统计软件进行数据分析。将使用逆方差(I)和Cochran Q统计量来检验研究之间的异质性。将使用随机效应模型计算宫颈癌筛查意愿的合并患病率,并给出95%置信区间。为了确定发表偏倚,将使用漏斗图、Egger检验和Begg检验以及5%的显著性水平。
无需伦理批准。研究结果将传播给学术受益人和公众。
PROSPERO注册号:CRD42023440970。