撒哈拉以南非洲国家临床乳腺癌筛查的患病率和预测因素:人口健康调查的多层次分析。
The prevalence and predictors of clinical breast cancer screening in Sub-Saharan African countries: a multilevel analysis of Demographic Health Survey.
发表日期:2024
作者:
Aklilu Habte Hailegebireal, Habtamu Mellie Bizuayehu, Biruk Bogale Wolde, Lire Lemma Tirore, Beshada Zerfu Woldegeorgis, Gizachew Ambaw Kassie, Yordanos Sisay Asgedom
来源:
FRONTIERS IN PUBLIC HEALTH
摘要:
尽管撒哈拉以南非洲 (SSA) 的乳腺癌发病率较高,但通过乳腺癌筛查治疗该疾病的努力并不理想,导致乳腺癌诊断较晚且预后不佳。在撒哈拉以南非洲国家进行了几项关于筛查率的研究,但它们涉及国家或次国家层面的数据,并没有考虑与筛查相关的个人和超个人因素。因此,该地区的汇总患病率以及筛查的多级相关性很少,本研究使用 SSA 女性的最新数据解决了这一问题。这项研究是使用来自 2013 年至 2022 年的人口健康调查数据进行的。对六个国家和总共 95,248 名女性的加权样本进行了检查。 STATA 版本 16 用于数据分析。进行多水平混合效应逻辑回归,并使用调整优势比 (aOR) 和 95% 置信区间 (95% CI) 报告显着预测因子。临床乳腺癌筛查的总体加权患病率为 14.23%(95% CI:13.97- 14.75),纳米比亚和坦桑尼亚的筛查率分别最高(24.5%)和最低(5.19%)。高龄女性 (35-49) 中乳腺癌筛查率较高 [aOR = 1.78; 95% CI: 1.60, 1.98],具有较高的教育水平 [aOR = 1.84; 95% CI: 1.66, 2.03],同居 [aOR = 1.37; 95% CI: 1.21, 1.55],处于最富有的财富五分位[aOR = 2.27; 95% CI: 1.95, 2.64],城市居民[aOR = 1.21; 95%CI: 1.10, 1.33],经产 [aOR = 1.47; 95% CI: 1.30, 1.68],访问过卫生机构 [aOR = 1.64; 95% CI: 1.52, 1.76],阅读报纸[aOR = 1.78; 95%CI: 1.60, 2.15]。临床乳腺癌筛查率较低(14%)。加强宣传活动、改善医疗基础设施、健康教育、全民健康覆盖和筛查计划的可及性,重点关注农村地区、缺乏正规教育的妇女和社会经济地位较低的妇女,对于提高乳腺癌筛查率和公平性至关重要。扩大地方和区域合作以及媒体机构参与筛查计划的实施、宣传、信息传播以及将筛查计划与其常规护理(如围产期护理)相结合,可以促进筛查。现有的卫生服务提供点还需要注重将乳腺癌筛查服务与围产期护理等常规护理相结合。版权所有 © 2024 Hailegebireal、Bizuayehu、Wolde、Tirore、Woldegeorgis、Kassie 和 Asgedom。
Despite a higher rate of breast cancer in sub-Saharan Africa (SSA), efforts to treat the disease through breast cancer screening are suboptimal, resulting in late diagnosis of breast cancer and poor outcomes. Several studies have been conducted in SSA countries about screening uptake, yet they addressed country or sub-country level data and did not consider both individual and beyond-individual factors related to screening. Hence, pooled prevalence as well as multilevel correlates of screening in the region is sparse, which have been addressed by this study using the most recent data among women with SSA.This study was conducted using the Demographic Health Survey data (2013-2022) from six countries, and a total weighted sample of 95,248 women was examined. STATA version 16 was used for the data analysis. Multilevel mixed-effects logistic regression was performed and significant predictors were reported using adjusted odds ratios (aOR) with 95% confidence intervals (95% CI).The overall weighted prevalence of clinical breast cancer screening was 14.23% (95% CI: 13.97-14.75), with Namibia and Tanzania having the highest (24.5%) and lowest (5.19%) screening rates, respectively. Higher breast cancer screening uptake was observed among women of advanced age (35-49) [aOR = 1.78; 95% CI: 1.60, 1.98], had higher educational levels [aOR = 1.84; 95% CI: 1.66, 2.03], cohabited [aOR = 1.37; 95% CI: 1.21, 1.55], in the richest wealth quintile [aOR = 2.27; 95% CI: 1.95, 2.64], urban residents [aOR = 1.21; 95%CI: 1.10, 1.33], multiparous [aOR = 1.47; 95% CI: 1.30, 1.68], visited health facilities [aOR = 1.64; 95% CI: 1.52, 1.76], and read newspapers [aOR = 1.78; 95%CI: 1.60, 2.15].The prevalence of clinical breast cancer screening was low (14%). Strengthening awareness campaigns, improving healthcare infrastructure, health education, universal health coverage, and screening program access, with a focus on rural areas, women who lack formal education, and low socioeconomic status, are critical to increasing breast cancer screening rates and equity. Scale-up local and regional collaborations and the involvement of media agencies in the implementation of screening programs, advocacy, dissemination of information, and integration of screening programs with their routine care, such as perinatal care, can boost the screening. The existing health service delivery points also need to focus on integrating breast cancer screening services with routine care such as perinatal care.Copyright © 2024 Hailegebireal, Bizuayehu, Wolde, Tirore, Woldegeorgis, Kassie and Asgedom.