Temere Bogale Chekole, Mewahegn Agerie Aynalem, Zewudie Bitew Tefera, GebreEyesus Fisha Alebel, Abebe Haymanot, Nuru Ahmed, Fetene Tamene, Tesfa Shegaw, Tarekegn Tadesse Tsehay, Kassaw Amare, Alebachew Wubet, Walle Belete Gelaw, Tenaw Shegaw Geze, Mesfin Yibeltal, Argaw Muche, Tsega Daniel
Department of Nursing, College of Medicine and Health Science, Wolkite University Southwest Ethiopia.
Department of Pediatric Nursing, College of Medicine and Health Science, Debre Tabor University, Northwest Ethiopia.
Afr Health Sci. 2024 Sep;24(3):1-9. doi: 10.4314/ahs.v24i3.2.
There are many studies regarding the prevalence of Virologic failure and its associated factors in East Africa, but they are inconclusive. In this study, the prevalence of Virologic failure and its associated factors in east Africa were determined.
Published articles that were conducted in English language were prepared based on preferred reporting items for systematic reviews and meta-analysis (PRISMA) statement. Web of Science, PubMed, and Google Scholar were explored to find out the articles. STATA Version 14 software was used for computing the pooled estimates of both the prevalence of virologic failure and associated factors. The pooled estimates were computed using both random and fixed effect models. Results were presented by using the randomand fixed effect models. . The pooled estimates were presented with 95% CI. Publication bias was assessed by looking the symmetry in the funnel plot.
The pooled prevalence of virologic failure was, 25.90 (19.49, 32.32, p ≤ 0:001) in the random effect model. Four factors, poor adherence (2.91 (Pooled odds ratio(POR): 2.91, 95%CI: 1.93, 4.40), being male (1.17 (POR: 1.17, 95%CI: 1.08, 1.27)), wasting as an under nutrition (3.1 (POR:3.1, 95%CI: 1.63, 5.95), and Nevirapine(NVP) based regimen (2.76 (POR: 2.76 (1.65,95%CI: 4.62)) were found to be independent predictors of virologic failure.
The prevalence of virologic failure in East Africa is remarkably high. Four factors were found to be the determining factors Different strategies must be designed to address (poor adherence, being male, wasting as an under nutrition, and NVP based regimen).
关于东非病毒学失败的患病率及其相关因素有许多研究，但尚无定论。在本研究中，确定了东非病毒学失败的患病率及其相关因素。
根据系统评价和荟萃分析的首选报告项目（PRISMA）声明，编写以英文发表的文章。通过科学网、PubMed和谷歌学术搜索文章。使用STATA 14版软件计算病毒学失败患病率和相关因素的合并估计值。合并估计值采用随机效应模型和固定效应模型计算。结果采用随机效应模型和固定效应模型呈现。合并估计值以95%置信区间呈现。通过观察漏斗图的对称性评估发表偏倚。
随机效应模型中病毒学失败的合并患病率为25.90（19.49，32.32，p≤0.001）。发现四个因素是病毒学失败的独立预测因素，分别为依从性差（2.91（合并比值比（POR）：(2.91)，95%置信区间：1.93，4.40））、男性（1.17（POR：1.17，95%置信区间：1.08，1.27））、消瘦作为营养不良（3.1（POR：3.1，95%置信区间：1.63，5.95））以及基于奈韦拉平（NVP）的治疗方案（2.76（POR：2.76（1.65，95%置信区间：4.62））。
东非病毒学失败的患病率非常高。发现四个因素是决定因素。必须设计不同策略来解决（依从性差、男性、消瘦作为营养不良以及基于NVP的治疗方案）问题。
