RESEARCH PAPER
Factors influencing HIV testing among young women aged 15-24 according to the 2015-2016 Malawi demographic and health survey
More details
Hide details
1
Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, China
2
Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China
3
Department of Psychology, School Public Health, Southern Medical University, Guangzhou, China
4
School of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong, China
5
Department of Nursing, Southern Medical University, Guangzhou 510515, Guangdong, China
Submission date: 2021-08-30
Final revision date: 2022-01-13
Acceptance date: 2022-02-11
Publication date: 2023-09-15
HIV & AIDS Review 2023;22(3):237-244
KEYWORDS
TOPICS
ABSTRACT
Introduction:
Adolescent girls and young women develop two of three global new human immunodeficiency virus (HIV) infections daily, yet they perceive little risk of acquiring it, thus neglecting their status. HIV testing is fundamental for its prevention and achieving the UNAIDS 90-90-90 targets.
Material and methods:
Data from the 2015-2016 Malawi demographic and health survey on women to establish the HIV testing factors were obtained. SPSS bivariate and multivariate logistic regressions were employed to determine HIV testing factors among young women aged 15-24.
Results:
Of all 10,422 young women 69.5% had done HIV testing, most of whom were rural dwellers. Women between 20 and 24 years old were 2.6 (AOR: 2.69; 95% CI: 2.11-3.43%) times more likely to carry out HIV testing than those aged 15-19. Reading newspapers or magazines less than once a week and listening to a radio at least once a week increased HIV testing by 1.9 and 1.5 times, respectively. A visit to a health facility in the past 12 months influenced HIV testing by 3 (AOR: 3.06; 95% CI: 2.41-3.89%) times. Contraceptives and condoms used influenced HIV testing 4.4 (AOR: 4.40; 95% CI: 3.24-5.96%) and 2.1 (AOR: 2.17; 95% CI: 1.09-4.30%) times. Employed and wealthy young women were 1.6 times more likely to be tested. Husbands’ education positively influenced HIV testing, while living in rural areas had a negative influence.
Conclusions:
Our findings emphasize potential factors in improving HIV testing and indicate that robust strategies are needed to increase HIV testing among young women in Malawi. Future research should focus on motivating factors that enhance HIV testing uptake in young Malawi women.
REFERENCES (40)
6.
UNAIDS, Global HIV and AIDS statistics – 2018 fact sheet, in Joint United Nations Programme on HIV/AIDS. Geneva 2018.
7.
UNAIDS. 90-90-90. An ambitious treatment target to help end AIDS Epidemic. Joint United Nations Programme on HIV/AIDS 2014.
8.
Ministry of Health. Malawi HIV Testing guidelines 2016. Ministry of Health, Lilongwe, Malawi 2016; 62.
9.
Ministry of Health. Malawi HIV Testing services guidelines. Ministry of Health, Malawi 2016.
10.
National Statistics Office. Malawi Demographic and Health Survey. 2017.
12.
Arthur G, Nduba V, Forsythe S, Mutemi R, Odhiambo J, Gilks C. Behaviour change in clients of health centre-based voluntary HIV counselling and testing services in Kenya. Sex Transm Infect 2007; 83: 541-546.
13.
Li J, Gilmour S, Zhang H, Koyanagi A, Shibuya K. The epidemiological impact and cost-effectiveness of HIV testing, antiretroviral treatment and harm reduction programs. AIDS 2012; 26: 2069-2078.
14.
National Statistical Office. Malawi demographic and health survey, 2015-16. The DHS Program ICF. Rockville, Maryland, USA 2017.
15.
Rutstein SO, Johnson K. The DHS Wealth Index. DHS Comparative Reports No. 6. Calverton, Maryland, USA 2004.
16.
Sun GW, Shook TL, Kay GL. Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis. J Clin Epidemiol 1996; 49: 907-916.
17.
Mandiwa C, Namondwe B. Uptake and correlates of HIV testing among men in Malawi: evidence from a national population-based household survey. BMC Health Serv Res 2019; 19: 203-203.
19.
Ajayi AI, Awopegba OE, Adeagbo OA, Ushie BA. Low coverage of HIV testing among adolescents and young adults in Nigeria: implication for achieving the UNAIDS first 95. PLoS One 2020; 15: e0233368.
20.
Takarinda KC, Madyira LK, Mhangara M, et al. Factors associated with ever being HIV-tested in Zimbabwe: an extended analysis of the Zimbabwe demographic and health survey (2010-2011). PLoS One 2016; 11: e0147828.
21.
Staveteig S, Croft TN, Kampa KT, Head SK. Reaching the ‘first 90’: gaps in coverage of HIV testing among people living with HIV in 16 African countries. PLoS One 2017; 12: e0186316.
22.
Pettifor A, van der Straten A, Dunbar MS, Shiboski SC, Padian NS. Early age of first sex: a risk factor for HIV infection among women in Zimbabwe. AIDS (London) 2004; 18: 1435-1442.
23.
Bakeera-Kitaka S, Smekens T, Jespers V, et al. Factors influencing the risk of becoming sexually active among HIV infected adolescents in Kampala and Kisumu, East Africa. AIDS Behav 2019; 23: 1375-1386.
24.
Bekele YA, Fekadu GA. Factors associated with HIV testing among young females; further analysis of the 2016 Ethiopian demographic and health survey data. PLoS One 2020; 15: e0228783-e0228783.
25.
Lakhe NA, Mbaye KD, Sylla K, Ndour CT. HIV screening in men and women in Senegal: coverage and associated factors; analysis of the 2017 demographic and health survey. BMC Infect Dis 2019; 20: 1.
26.
Corno L, de Walque D. Socioeconomic determinants of stigmatization and HIV testing in Lesotho. AIDS Care 2013; 25 Suppl 1: S108-S113.
27.
Yaya S, Oladimeji O, Oladimeji KE, Bishwajit G. Determinants of prenatal care use and HIV testing during pregnancy: a population-based, cross-sectional study of 7080 women of reproductive age in Mozambique. BMC Pregnancy Childbirth 2019; 19: 354.
28.
Agegnehu CD, Tesema GA. Effect of mass media on comprehensive knowledge of HIV/AIDS and its spatial distribution among reproductive-age women in Ethiopia: a spatial and multilevel analysis. BMC Public Health 2020; 20: 1420.
29.
Kim SW, Haghparast-Bidgoli H, Skordis-Worrall J, Batura N, Petrou S. A method for measuring spatial effects on socioeconomic inequalities using the concentration index. Int J Equity Health 2020; 19: 9.
30.
Lompo ML, Bago JL. How does exposure to mass media affect HIV testing and HIV-related knowledge among adolescents? Evidence From Uganda. Glob J Health Sci 2018; 10: 1.
31.
Diress G, Ahmed M, Adane S, Linger M, Alemnew B. Barriers and facilitators for HIV testing practice among Ethiopian women aged 15-24 years: analysis of the 2016 Ethiopian demographic and health survey. HIV AIDS (Auckl) 2021; 12: 963-970.
32.
Ha JH, Van Lith LM, Mallalieu EC, et al. Gendered relationship between HIV stigma and HIV testing among men and women in Mozambique: a cross-sectional study to inform a stigma reduction and male-targeted HIV testing intervention. BMJ Open 2019; 9: e029748.
33.
Kirakoya-Samadoulougou F, Jean K, Maheu-Giroux M. Uptake of HIV testing in Burkina Faso: an assessment of individual and community-level determinants. BMC Public Health 2017; 17: 486.
34.
Karamagi CAS, Tumwine JK, Tylleskar T, Heggenhougen K. Antenatal HIV testing in rural eastern Uganda in 2003: incomplete rollout of the prevention of mother-to-child transmission of HIV programme? BMC Int Health Hum Rights 2006; 6: 6.
35.
Bajunirwe F, Muzoora M. Barriers to the implementation of programs for the prevention of mother-to-child transmission of HIV: a cross-sectional survey in rural and urban Uganda. AIDS Res Ther 2005; 2: 10.
36.
Hearst N, Ruark A, Hudes ES, Goldsmith J, Green EC. Demographic and health surveys indicate limited impact of condoms and HIV testing in four African countries. Afr J AIDS Res 2013; 12: 9-15.
37.
Center KE, Gunn JKL, Asaolu IO, Gibson SJ, Ehiri JE. Contraceptive use and uptake of HIV-testing among Sub-Saharan African women. PLoS One 2016; 11: e0154213.
38.
Maulsby CH, Ratnayake A, Hesson D, Mugavero MJ, Latkin CA. A scoping review of employment and HIV. AIDS Behav 2020; 24: 2942-2955.
39.
Worku MG, Teshale AB, Tesema GA. Prevalence and associated factors of HIV testing among pregnant women: a multilevel analysis using the recent demographic and health survey data from 11 East African countries. HIV AIDS (Auckl) 2021; 13: 181-189.
40.
L’Engle KL, Vahdat HL, Ndakidemi E, Lasway C, Zan T. Evaluating feasibility, reach and potential impact of a text message family planning information service in Tanzania. Contraception 2013; 87: 251-256.