Charles Echezona Nzelu, Magdeline Aagard, Hadi Danawi, Gwendolyn S Francavillo, Pelagia Melea
{"title":"Predictors of HIV Testing Among Pregnant Women aged 15-49 Years in Nigeria.","authors":"Charles Echezona Nzelu, Magdeline Aagard, Hadi Danawi, Gwendolyn S Francavillo, Pelagia Melea","doi":"10.60787/nmj-v65i3-435","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The utilization of HIV testing services in Nigeria has not been optimal due to socioeconomic and demographic factors such as educational level, place of residence, and religion. For Nigeria to achieve epidemic control, pregnant women need to know their HIV status through HIV testing, which is the gateway to HIV prevention, care, support, and treatment services. Therefore, the purpose of this study was to determine the predictors of HIV testing among Nigerian pregnant women aged 15-49 years HIV testing during antenatal visits or childbirth.</p><p><strong>Methodology: </strong>Secondary data analyses of 659 pregnant women randomly selected from the multiple imputation datasets of the 2013 Nigeria Demographic and Health Survey (NDHS)were done using SPSS version 25. Data on socio-demographic characteristics, HIV stigmatizing attitudes, and HIV testing were retrieved from the dataset for the study. Bivariate and multivariate regression analyses were done to determine the predictors of HIV testing.</p><p><strong>Results: </strong>The prevalence of self-reported HIV testing and receiving results among women of reproductive age was 36.72%. Bivariate model findings showed that educational level, place of residence, and religion were statistically significant predictors of HIV testing among pregnant women. Only educational level and place of residence significantly predicted pregnant women's HIV testing in the parsimonious multivariable regression model. Pregnant women with higher levels of education (Primary Education, AOR, 1.85; 95% CI, 1.07,3.19; Secondary Education, AOR, 3.75; 95% CI:1.93, 7.28; Higher Education, AOR, 11.23; 95% CI: 4.40, 28.68) and those living in urban areas (AOR, 1.60: 95% CI:1.03, 2.47) were more likely to test for HIV than those with no education and those living in the rural areas.</p><p><strong>Conclusion: </strong>This study identified having a higher level of education and living in urban areas as predictors of HIV testing, therefore, more efforts are needed to have women with lower levels of education and those living in rural areas test for HIV as a strategy for the elimination of mother-to-child transmission of HIV.</p>","PeriodicalId":94346,"journal":{"name":"Nigerian medical journal : journal of the Nigeria Medical Association","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11470272/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nigerian medical journal : journal of the Nigeria Medical Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.60787/nmj-v65i3-435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The utilization of HIV testing services in Nigeria has not been optimal due to socioeconomic and demographic factors such as educational level, place of residence, and religion. For Nigeria to achieve epidemic control, pregnant women need to know their HIV status through HIV testing, which is the gateway to HIV prevention, care, support, and treatment services. Therefore, the purpose of this study was to determine the predictors of HIV testing among Nigerian pregnant women aged 15-49 years HIV testing during antenatal visits or childbirth.
Methodology: Secondary data analyses of 659 pregnant women randomly selected from the multiple imputation datasets of the 2013 Nigeria Demographic and Health Survey (NDHS)were done using SPSS version 25. Data on socio-demographic characteristics, HIV stigmatizing attitudes, and HIV testing were retrieved from the dataset for the study. Bivariate and multivariate regression analyses were done to determine the predictors of HIV testing.
Results: The prevalence of self-reported HIV testing and receiving results among women of reproductive age was 36.72%. Bivariate model findings showed that educational level, place of residence, and religion were statistically significant predictors of HIV testing among pregnant women. Only educational level and place of residence significantly predicted pregnant women's HIV testing in the parsimonious multivariable regression model. Pregnant women with higher levels of education (Primary Education, AOR, 1.85; 95% CI, 1.07,3.19; Secondary Education, AOR, 3.75; 95% CI:1.93, 7.28; Higher Education, AOR, 11.23; 95% CI: 4.40, 28.68) and those living in urban areas (AOR, 1.60: 95% CI:1.03, 2.47) were more likely to test for HIV than those with no education and those living in the rural areas.
Conclusion: This study identified having a higher level of education and living in urban areas as predictors of HIV testing, therefore, more efforts are needed to have women with lower levels of education and those living in rural areas test for HIV as a strategy for the elimination of mother-to-child transmission of HIV.
背景:由于教育水平、居住地和宗教等社会经济和人口因素的影响,尼日利亚的艾滋病检测服务利用率并不理想。为了使尼日利亚实现疫情控制,孕妇需要通过 HIV 检测了解自己的 HIV 感染状况,这是获得 HIV 预防、护理、支持和治疗服务的途径。因此,本研究旨在确定尼日利亚 15-49 岁孕妇在产前检查或分娩时进行 HIV 检测的预测因素:使用 SPSS 25 版本对从 2013 年尼日利亚人口与健康调查(NDHS)的多重估算数据集中随机抽取的 659 名孕妇进行了二次数据分析。研究从数据集中获取了社会人口学特征、艾滋病鄙视态度和艾滋病检测数据。为了确定艾滋病检测的预测因素,研究人员进行了二元和多元回归分析:结果:育龄妇女中自我报告进行 HIV 检测并收到检测结果的比例为 36.72%。双变量模型结果显示,教育水平、居住地和宗教信仰对孕妇进行 HIV 检测有显著的统计学预测作用。在准多元回归模型中,只有受教育程度和居住地能明显预测孕妇的艾滋病检测情况。受教育程度较高的孕妇(小学教育,AOR,1.85;95% CI,1.07,3.19;中学教育,AOR,3.75;95% CI:1.93,7.28;高等教育,AOR,11.23;95% CI:4.40,28.68)和居住在城市地区的孕妇(AOR,1.60:95% CI:1.03,2.47)比未受过教育和居住在农村地区的孕妇更有可能进行 HIV 检测:本研究发现,教育程度较高和生活在城市地区的妇女是进行 HIV 检测的预测因素,因此,需要加大力度让教育程度较低和生活在农村地区的妇女进行 HIV 检测,以此作为消除 HIV 母婴传播的一项策略。