Factors associated with lifetime HIV testing among women in four Southeast Asian countries: Evidence from the demographic and health surveys

Socioeconomic inequalities in uptake of HIV testing during antenatal care: evidence from Sub-Saharan Africa

BACKGROUND

Measuring socioeconomic inequalities in healthcare usage represents a critical step towards promoting health equity, in alignment with the principles of universal health coverage and the United Nations' Sustainable Development Goals. In this study, we assessed the socioeconomic inequalities in HIV testing during antenatal care (ANC) in sub-Saharan Africa.

METHODS

Sub-Saharan Africa was the focus of this study. Benin, Burundi, Cameroon, Ethiopia, Gambia, Guinea, Liberia, Malawi, Mali, Mauritania, Mozambique, Rwanda, Sierra Leone, Uganda, Zambia, and Zimbabwe were the countries included in the study. This study used current Demographic and Health Surveys data spanning from 2015 to 2022. A total of 70,028 women who tested for HIV as part of antenatal contacts formed the sample for analysis. We utilized the standard concentration index and curve to understand the socioeconomic inequalities in HIV testing during antenatal care among women. Additionally, a decomposition analysis of the concentration index was ran to ascertain the contributions of each factor to the inequality.

RESULTS

Overall, 73.9% of women in sub-Saharan Africa tested for HIV during ANC. The countries with the highest proportions were Malawi, Rwanda, Zambia, and Zimbabwe. Mali Benin, Guinea, Mali, and Mauritania were the countries with the lowest proportions of HIV testing. Being among the richer [AOR 1.10, 95% CI: 1.02,1.18] and richest [AOR 1.41, 95% CI:1.30, 1.54] wealth quintiles increased the odds of HIV testing during ANC. The concentration value of 0.03 and the curve show that HIV testing is more concentrated among women in the highest wealth quintile. Hence, wealthy women are advantaged in terms of HIV testing. As the model's residual value is negative (-0.057), the model overestimates the level of inequality in the outcome variable (HIV during ANC), which means that the model's explanatory factors can account for higher concentration than is the case.

CONCLUSION

We found that there is substantial wealth index-related inequalities in HIV testing, with women of the poorest wealth index disadvantaged in relation to the HIV testing. This emphasizes the necessity for sub-Saharan Africa public health programs to think about concentrating their limited resources on focused initiatives to grasp women from these socioeconomic circumstances. To increase women's access to HIV testing, maternal and child health programs in sub-Saharan Africa should attempt to minimize female illiteracy and poverty. Consequently, health education may be required to provide women with comprehensive HIV knowledge and decrease the number of lost opportunities for women to get tested for HIV. Given the link between knowledge of HIV and HIV testing, it is important to focus on community education and sensitization about HIV and the need to know one's status.

Trends and associated factors in HIV testing among heterosexual men and women in Melbourne, Australia, 2011-2020

BACKGROUND

Despite the increase in the proportion of HIV notifications attributed to heterosexuals in Australia, little is known about their HIV testing behaviours. We investigated the trends and factors associated with HIV testing behaviours among heterosexuals.

METHODS

We analysed the trend and proportion of heterosexuals attending the centre for the first time between 2011 and 2020, who had ever tested and tested for HIV in the past 12months and the median number of months since their last HIV test. We identified factors associated with HIV testing behaviours using univariable and multivariable logistic regressions.

RESULTS

Of the 78652 heterosexuals included, 53.1% were men and 46.9% were women. Overall, the proportion of heterosexuals who had ever tested for HIV was 40.8%, with a declining testing trend from 40.2% in 2011 to 36.5% in 2020 (P trend <0.001). Overall, the proportion of heterosexuals tested for HIV in the past 12months was 15.7%, with no significant change from 15.3% in 2011 to 14.7% in 2020 (P trend =0.489). The median number of months since the last HIV test decreased from 18.0 (IQR 6.9-37.3) in 2011 to 15.0 (IQR 6.4-32.5) in 2020 (P trend <0.001). Individuals who had condomless sex with casual partners (aOR 0.92, 95% CI 0.88-0.96) and who were diagnosed with a sexually transmitted infection (aOR 0.88, 95% CI 0.84-0.93) were less likely to have ever tested for HIV.

CONCLUSIONS

HIV testing was low among heterosexuals, and individuals who engaged in condomless sex and had another sexually transmitted infection were less likely to be tested. To reduce HIV transmission, strategies to improve HIV testing among heterosexuals are needed.