Socioeconomic Inequalities in the HIV Testing during Antenatal Care in Vietnamese Women.
Dinh-Toi ChuLong Hoang VoDang-Khoa TranHao Nguyen Si AnhLong Bao HoangPhong Tran NhuKhanh Nguyen NgocTrang Thu NguyenQuyet Pham VanNguyen Le Bao TienVo Van ThanhVu Thi NgaThuy Luu QuangLe Minh BuiVan Huy PhamPublished in: International journal of environmental research and public health (2019)
Although HIV (human immunodeficiency virus) testing for all women has been promoted by Vietnam's Ministry of Health since 2000, test acceptance rates in this country were reported to be less than 30% in the community. This country has been facing the barriers to approach the national services towards transmission prevention from mother to child including HIV testing during antenatal care (ANC) towards mothers. Here, we aim to assess the socioeconomic inequalities in HIV testing during ANC among Vietnamese women. This study used available data from the Vietnam Multiple Indicator Cluster Survey 2014. Overall, the prevalence of HIV testing during antenatal care was 30% and the concentrate index (CCI) was 0.1926. There was significant inequality between women classified as poor and rich, and when stratified by social characteristics, inequality was found in women aged 15-49 years (CCI: 0.4), living in rural areas (CCI: 0.3), belonging to ethnic minorities (CCI: 0.5) and having primary or less education (CCI: 0.4). In the multivariate logistic regression analysis, ethnicity and socioeconomic status were significant factors associated with HIV testing during ANC. We found the prevalence of HIV testing during ANC was low, and its inequalities were associated with age, living area, ethnicity, education, and economic status.
Keyphrases
- hiv testing
- men who have sex with men
- healthcare
- human immunodeficiency virus
- neuropathic pain
- hiv positive
- polycystic ovary syndrome
- quality improvement
- pregnant women
- mental health
- pregnancy outcomes
- antiretroviral therapy
- hepatitis c virus
- cervical cancer screening
- public health
- risk factors
- preterm birth
- spinal cord
- hiv infected
- primary care
- spinal cord injury
- adipose tissue
- type diabetes
- pain management
- deep learning
- skeletal muscle
- artificial intelligence
- climate change
- south africa
- risk assessment