The key cause of HIV transmission is failure to provide adequate information about HIV/AIDS which is a substantial public health issue in low and middle-income countries. While global health coverage continues, there is still little understanding of HIV/AIDS among women of reproductive age (15–49 years) in Ethiopia. Therefore, the purpose of this study was to identify the determinants of comprehensive knowledge of HIV/AIDS among women of reproductive age in Ethiopia.
A secondary data analysis was employed using the 2016 Ethiopian demographic and health survey data. Data were extracted about comprehensive knowledge of HIV/AIDS among women of reproductive age. We used multi-variable mixed-effect binary logistic regression to identify factors associated with comprehensive knowledge of HIV/AIDS among women of reproductive age. The adjusted odds ratio with 95% confidence interval was used to declare statistical significance.
We found that having primary (AOR = 1.75, 95% CI 1.56–1.97),secondary (AOR = 2.74, 95% CI 2.33–3.22), and higher (AOR = 4.07, 95% CI 3.32–4.99) educational statuses, being in highest wealth quintiles; richer (AOR = 1.20, 95% CI 1.01–1.43) and richest (AOR = 1.51, 95% CI 1.22–1.87), knowing the place for HIV test (AOR = 2.13, 95% CI 1.88–2.42), use of traditional contraceptive method (AOR = 1.93,95% CI 1.12–3.35), female household head (AOR = 1.18, 95% CI 1.07–1.31), watching television (AOR = 1.22, 95% CI 1.06–1.41) and own mobile phone (AOR = 1.18, 95% CI 1.05–1.33) were positively associated with comprehensive knowledge of HIV/AIDS among women of reproductive age in Ethiopia.
Women with higher education and higher wealth quintiles, knowing the place of HIV test, watching television, a traditional contraceptive method use, having a mobile phone and being in female headed household were positively associated with comprehensive knowledge of HIV/AIDS among women of reproductive age in Ethiopia. Programs working on HIV/AIDS should target women based on the identified factors so as to scale up their comprehensive knowledge towards HIV/AIDS. In this context, the media should actively contribute to raising awareness of HIV/AIDS.
Similar content being viewed by others
The acquired immunodeficiency syndrome (AIDS) due to human immunodeficiency virus (HIV) is still a global pandemic, particularly in low-income countries. Overall, 37.9 million people, including 36.2 million adults and 1.7 million children (< 15 years) were living with HIV worldwide at the end of 2018. Around 1.7 million have become newly infected and 770,000 people worldwide have died from AIDS related diseases. In general, adult women with HIV are more prevalent .
Lack of knowledge about HIV/AIDS is one of the main reasons for the increased number of new HIV infections and burdens for females of reproductive age (15–49 years), which is a major public health problem [2,3,4,5,6]. Globally, less than 30% of reproductive age women have comprehensive knowledge of HIV/AIDS . Consequently, about 90% of the sub-Saharan African (SSA) countries were severely affected by HIV/AIDS, especially reproductive age women suffered from the HIV epidemic [8, 9]. Moreover, SSA countries contributed 70% of the new HIV infections where 74% of AIDS related deaths occurred .
There are significant challenges that remain to reach women of reproductive age living with HIV/AIDS for treatment and care services in SSA, accounting 59% of the total number of people living with HIV, in 2013 .Unlike other regions, the primary route of transmission in SSA is unsafe heterosexual intercourse that leads a young woman newly infected with HIV every minute. Studies revealed that young women were three to six times more likely to have HIV compared with males of the same age [11, 12].It is known that the level of HIV/AIDS related knowledge varies according to the socioeconomic status of the country .
According to the United Nations General Assembly Session (UNGAS) target set in 2001, 95% of young adults got to have correct and comprehensive knowledge of HIV/AIDS . However, this is far below the target besides the higher prevalence of HIV/AIDS among females. Different studies conducted in Africa demonstrated that a low comprehensive knowledge of HIV/AIDS and less than half of reproductive age women demonstrated a comprehensive knowledge of HIV/AIDS. For example, in Mozambique, only 31.8% of women aged 15–49 years  and in northern Uganda, 23% of women of reproductive age  had a comprehensive knowledge of HIV/AIDS. Another study was done in three East African countries: Burundi, Kenya, and Ethiopia among women living with HIV/AIDS aged (15–49) also showed a comprehensive knowledge of HIV/AIDS was less than half in Burundi (48.9%) and Kenya (46.3%), while in Ethiopia it was below one-fourth(19.3%) . According to the target, this indicates that it is a very low comprehensive knowledge of HIV/AIDS among women of reproductive age in Ethiopia.
Some studies also showed that lower educational level , poor wealth index [17, 19], and rural residence  and do not use contraceptives  were factors that decline comprehensive knowledge of HIV/AIDS among women of reproductive age. Having accurate HIV/AIDS knowledge about transmission and prevention is very important for avoiding HIV infection and ending the stigma and discrimination of infected and affected persons. However, studies have shown women of reproductive age lack accurate and complete information on how to avoid exposure to HIV.
Therefore, this study aimed to identify the potential factors associated with comprehensive knowledge of HIV/AIDS among women of reproductive age in Ethiopia based on the 2016 Ethiopian Demographic and Health Survey (EDHS) data.
Study design, setting, and period
Secondary data analysis was done from a community-based national cross-sectional study. The study was conducted in Ethiopia, which is situated in the Horn of Africa. It has 9 regional states (Afar, Amhara, Benishangul-Gumuz, Gambela, Harari, Oromia, Somali, Southern Nations, Nationalities, and People’s Region (SNNP) and Tigray) and two administrative cities (Addis Ababa and Dire-Dawa).
In 2016, the population of Ethiopia was estimated as 102 million, of which 43.47% of the population is aged less than 14 years with a birth rate of 36.5 births per 1000 population and fertility rate of 4.46. Ethiopia is the 13th in the world and 2nd in Africa most populous country. The country has three tiers of health systems; primary health care units (primary hospitals, health centers, health posts, primary clinics, and medium clinics); secondary health care (general hospitals, specialty clinics, and specialty centers) and tertiary health care (specialized, teaching hospitals). In response to population differences, the number of hospitals varies from region to region. Oromia, which is the most densely populated region, has 30 hospitals. The other two regions with 19 and 20 respectively are Amhara and SNNPR. Although there were 16 hospitals in Tigray, there is only one hospital in Gambela, while there are two in Benishangul-Gumuz  (Fig. 1).
The data for this study were taken from the 2016 EDHS. It is the fourth comprehensive and nationally representative survey conducted as part of the worldwide demographic and health surveys (DHS) project. The EDHS 2016 data were downloaded from the DHS website (http://dhsprogram.com) after getting authorization. The 2016 EDHS samples were selected using a stratified two-stage cluster sampling design. In the first stage, about 645 enumeration areas (EAs) (202 in urban areas and 443 in rural areas) were selected with probability proportional to the EAs size and with independent selection in each sampling stratum.
The study’s source population was all reproductive women aged 15–49 years and the study population was all women between 15 and 49 years in the selected EAs. A total of 14,369 women had been asked about HIV/AIDS knowledge. Potential predictors such as education, wealth index, place of residence (urban versus rural), the type of contraceptive, sex of household head and other variables were extracted from the dataset based on the availability of data and previous literature. More methodological details can be accessed from EDHS 2016 report .
The outcome variable is comprehensive knowledge of HIV/AIDS which is defined as correct knowledge of two mechanisms to prevent HIV and rejection of three misconceptions about HIV. To assess the comprehensive HIV and AIDS knowledge of reproductive age women, every woman was asked whether or not she correctly answered the following questions: (1) can using condoms prevent HIV transmission? (2) can HIV be prevented by limiting sex to one faithful uninfected partner? (3) can a person get HIV from mosquito bites? (4) can a person get HIV by sharing food with someone infected? and (5) can a healthy-looking person have HIV? . Accordingly, comprehensive knowledge of HIV/AIDS coded as non-knowledge women = 0 and knowledge women = 1.
The independent variables of the study were drawn from socio-demographic characteristics (age, education status, residence, region, religion, household head sex), health care and system-related (method of contraception, know the place of the test for HIV) and socioeconomic factors (media exposure such as TV, reading newspapers, wealth index, own mobile phone).
Data management and methods of analysis
After the extraction of data, STATA software Version 14 (StataCorp LP, College Station, Texas 77845 USA) was used to clean up, rename, recode, and further analysis. Sampling weights were used to adjust the probability of selection and non-response differences. First, we examined socio-demographic characteristics of the sample using descriptive statistics. Data were correlated (within-cluster correlation 0.26), as EDHS has a hierarchical and clustered structure. This requires the use of advanced model that considers variability due to clustering nature. A mixed effect binary logistic regression modeling under the broad family of generalized mixed modeling was therefore adapted. In the bivariable analysis, variables with p-values ≤ 0.2 were selected to adjust in the final model. Finally, the p-values less than 0.05 were used to classify variables with statistical significance of comprehensive knowledge of HIV/AIDS in the multivariable analysis.
Socio-demographic characteristics of study participants
Almost one-fifth of participants (21.4%) were teenagers with three quarters (76.0%), were rural inhabitants (Table 1). Orthodox Christians accounted for around 44.8%. About 45.4% of the participant did not attend formal education and more than a quarter (28.2%) was in the rich wealth quantile. Of all 12,133 (83.0%) of the participants didn’t watch television. Whereas seventeen percent (17.2%) and twenty-nine percent (29.0%) of the participants had the experience of listening radio and owns mobile phones, respectively. Three quarters (74.5%) of the study participants knew the place of HIV test. Among the study participants, twenty-four percent (24.0%) were from female headed household.
Comprehensive knowledge of HIV/AIDS
Approximately three-fourths (74.1%) and 68.5% indicated the risk of HIV and transmission could not be decreased by a single partner and a mosquito bite, respectively (Fig. 2). More than four-fifths (83.7%) of women (15–49) were aware of sharing foods with people who have HIV will not transmit HIV and 62.0% of women knew that condoms could help prevent sexual transmission of HIV. Nearly two-thirds of respondents (64.7%) had correctly answered the question of whether a healthy looking person could have HIV. Overall, only one quarter (25.2%) of Ethiopian women had a comprehensive knowledge of HIV/AIDS (95% CI 24.48–25.9).
Determinants of comprehensive knowledge of HIV/AIDS among Ethiopian women
In the null model, variance component analysis was performed to decompose the total variance of comprehensive HIV/AIDS knowledge. The cluster-level variance which indicates the total variance of comprehensive HIV/AIDS knowledge that can be attributed to the context of the community (cluster) in which the women were living was estimated. The applicability of multi-level mixed-effects logistic regression model in the analysis was justified by the significance of the community-level variance [community variance = 1.16; standard error (SE) = 0.097; P-value = 0.001], indicating the existence of significant differences between communities (clusters) regarding the comprehensive HIV/AIDS knowledge. This was supported by the intra-cluster correlation coefficient (ICC) value (ICC = 0.26) which revealed that 26% of the total variance of comprehensive HIV/AIDS knowledge in Ethiopia can be attributed to the context of the communities where the mothers were dwelling. Since it was above the cut of point  the nuisance of clustering was considered to produce reliable estimates.
In bi-variable mixed-effect logistic regression; mother’s age, education level, high wealth index, knowing HIV test place, residence, contraceptive methods used, sex of household head, watching television, listening radio, reading newspapers, and own mobile telephone have been relevant at P-value < 0.2 and tailored to multi-variable analyses. However, we found that higher mothers educational level, knowing the site of HIV testing, sex of household head, listening radio, high-wealth indices, traditional methods of contraceptive use, possession of cell phones, and watching TV were statistically significant in relation with the comprehensive knowledge of the HIV/AIDS among women of reproductive age in Ethiopia.
The chances of having good comprehensive knowledge among women with primary education were 1.75 (AOR = 1.75, 95% CI 1.56–1.97) times higher than no education (Table 2). Similarly, being in secondary education level was more than twice as likely to have good knowledge (AOR = 2.74, 95% CI 2.33–3.22) and fourth times for higher education (AOR = 4.07, 95% CI 3.32–4.99) as compared to no educated women’s. We also found that richer women had 1.2 times higher chance of having good comprehensive knowledge as compared to the poorest (AOR = 1.20, 95% CI 1.01–1.43). And richest women had 1.5 times the chance to have good knowledge (AOR = 1.51, 95% CI 1.22–1.78) as compared to the poorest.
Moreover, knowing the place of HIV test (AOR = 2.13, 95% CI 1.88–2.42), use of traditional contraceptive method (AOR = 1.93, 95% CI 1.12–3.35), being from female headed household (AOR = 1.18, 95% CI 1.07–1.31), Watching television (AOR = 1.22, 95% CI 1.06–1.41) and having owned mobile phone (AOR = 1.18, 95% CI 1.05–1.33) were remained positively associated with comprehensive knowledge about HIV/AIDS.
Among women of reproductive age, we found that higher educational level, Knowing the site of HIV testing, sex of household head, listening radio, high-income indices, traditional methods of contraceptive use, possession of cell phones, and watching TV were positively associated with comprehensive knowledge of HIV/AIDS.
Women’s education is positively associated with comprehensive knowledge of HIV/AIDS in Ethiopia. This result is supported by different studies done in three east African countries , Bangladesh [18, 21], Tajikistan , and Vietnam . This might be because educated individuals will have more access to information regarding HIV/AIDS than their counterparts. Similarly, women being in the highest wealth index had a good comprehensive knowledge of HIV/AIDS as compared to the poorest women. This result is in agreement with the study done in Nigeria and Republic of Congo , in Ghana , in three east African countries . This is due to the reason that having good socioeconomic status improves media exposure or educational achievement which increases the likelihood of knowledge about HIV/AIDS .
Knowing the place of HIV test was also positively associated with the comprehensive knowledge of women about HIV/AIDS. This is consistent with previous other studies among women in Vietnamese . This might be due to those who know the place of HIV tests are more exposed to information and then more aware of HIV/AIDS from the counseling site. Moreover, provision of public education during health care services as a key component of primary prevention of AIDS has to be appreciated.
Media exposure increases the chance of comprehensive HIV/AIDS knowledge. The likelihood of having a comprehensive knowledge of HIV/AIDS among women who watched television once a week and who had a mobile phone was 1.22 and 1.18 times higher as compared to their counterparts respectively. This result is consistent with a study conducted in Bangladesh [18, 29]. This may be due to television is effective media to reach the general people which communicate important messages about this incurable disease in the form of music, news reports, dramas, movies, advertisements, etc. That can further highly influence public awareness about health and health-related issues including HIV/AIDS.
Regarding having mobile phone, those who owned mobile phone might get different information about HIV/AIDS from telecommunication staff. The results of this study pointed out that a health education program on AIDS for women greatly and significantly improved their knowledge of AIDS of transmission. One of the significant predictors for comprehensive knowledge of HIV/AIDS is a method of contraceptive use. This might be due to those women who use traditional contraceptive methods may be literate and then prone to information than non-users.
Regarding the sex of household head, being in a female headed household was positively associated with comprehensive knowledge of HIV/AIDS among women in Ethiopia. This study is in agreement with a study in Bangladesh . Knowledge variation among genders could be due to the empowerment of women in education from time to time. As identified in the current study, many women were educated and the educational level of women was also positively associated with comprehensive knowledge of HIV/AIDS.
Ethiopia has amazingly performed in reducing burden of HIV/AIDS and to reverse this pandemic. Strong policy, leadership and political commitment to the creation and delivery of health programs that drive primary care are especially significant. Since 2003, Ethiopia has adopted the Health Extension Program (HEP) which is creative community-based health services . Also, the extension, free of charge since 2003, of antiretroviral therapy (ART), may be instrumental in the HIV/AIDS incidence and mortality rate decrease . Ethiopia now faces some challenges to achieve the 90 to 90–90–90 global HIV/AIDS targets by 2020, despite significant progress made in the past. Continuous mobilization of community groups, stigma reduction, and support services are therefore crucial to increased use of ART services and improved care retention that contributes to reducing early mortality from HIV/AIDS in Ethiopia.
This study is based on the EDHS 2016, which uses national sources of information and rigorous analyses. We used multi-level modeling for a better estimate of the impact of clustering between the related variables and the outcome variable. However, there are certain limitations to the study. The use of cross-sectional information can first lead to distortion. Secondly, a random error may occur in some independent variables, which have been subjectively defined such as the wealth index, even if the data collector is trained on a method and method of data collection.
In general, women with the highest educational status and wealth index, watching television, having mobile phone, being in female headed household, using contraceptive method, and knowing place for HIV test appeared significantly associated with comprehensive knowledge of HIV/AIDS. The finding indicates that HIV prevention programs had contributed a lot to improve creating awareness and illustrate misconceptions regarding the mode of transmission of the disease. Media is very important tool to prevent any health-related problems by enhancing the knowledge of reproductive age women about HIV/AIDS. Therefore, Mass media and social workers have devised to transform ways to grow among people in the services providers and encourage service utilization. It is also better to promote prevention methods through mass media campaigns, and information, education, and communication programs to reproductive age women.
Availability of data and materials
All relevant data are available from the corresponding author upon a reasonable request
Adjusted odds ratio
Acquired immunodeficiency syndrome
Crude odds ratio
Demographic and Health Surveys
Ethiopian Demographic and Health Survey
Health Extension Program
Human immunodeficiency virus
Intra-cluster correlation coefficient
Southern Nations, Nationalities, and People’s
United Nations General Assembly Session
World Health Organization. Global HIV & AIDS statistics—2019 fact sheet. 2018.
UNAIDS. Technical report. Global aids update 2016.
UNAIDS. The prevention gap report. 2016.
AVERT. Technical report on Hiv and aids in asia & the pacific regional overview. 2017.
NIPORT, Associates Ma, ICF. Bangladesh demographic and health survey Technical report. National Institute of Population Research and Training 2014.
UNAIDS. HIV and AIDS Estimates in Bangladesh regions countries. 2015.
UNAIDS. Report on the global AIDS epidemic 20 Avenue Appia, 1211 Geneva 27, Switzerland,. 2013.
UNAIDS. Global Report on the global AIDS epidemic Joint United Nation Programme on HIV/AIDS. 2012.
UNAIDS. Global Report on the Global AIDS epidemic., Geneva, Switzerland: Joint United Nations Program on HIV/AIDS (UNAIDS). 2013.
UNAIDS. The Gap Report Geneva, Switzerland Joint United Nations program on HIV/AIDS 2014.
UNAIDS. Intensifying HIV Prevention. UNAIDS Policy Position Paper Geneva, Switzerland 2005;7.
Comission T. HIV/AIDS and Malaria Indicators Survey 2007–2008.
Jung M, Arya M, Viswanath K. Effect of media use on HIV/AIDS-related knowledge and condom use in Sub-Saharan Africa: a cross-sectional study. PLoS ONE. 2013;8(7):e68359.
Nations U. Declaration of Commitment on HIV/AIDS United Nations General Assembly Special Session on HIV/AIDS. 2001.
Survey MN. Prevalence, Behavioral Risks and Information about HIV and AIDS 2009.
Cicciò L, Makumbi M, Sera D. An evaluation study on the relevance and effectiveness of training activities in Northern Uganda. Rural Remote Health. 2010;10:1250.
Teshome R, Youjie W, Habte E, Kasm N. Comparison and association of comprehensive HIV/AIDS knowledge and attitude towards people living with HIV/AIDS among women aged 15-49 in three East African countries: Burundi, Ethiopia and Kenya. J AIDS Clin Res. 2016;7(559):2.
Sheikh MT, Uddin MN, Khan JR. A comprehensive analysis of trends and determinants of HIV/AIDS knowledge among the Bangladeshi women based on Bangladesh Demographic and Health Surveys, 2007–2014. Arch Public Health. 2017;75(59):017–0228.
Fenny AP, Crentsil AO, Asuman D. Determinants and Distribution of Comprehensive HIV/AIDS Knowledge in Ghana. Global J Health Sci. 2017;9(12):32.
Gebremedhin S, Wang Y, Tesfamariam E. Predictors of HIV/AIDS knowledge and attitude among young women of Nigeria and Democratic Republic of Congo: cross-sectional study. J AIDS Clin Res. 2017;8(3):677.
Yaya S, Bishwajit G, Danhoundo G, Shah V, Ekholuenetale M. Trends and determinants of HIV/AIDS knowledge among women in Bangladesh. BMC Public Health. 2016;16(1):812.
Adugna A. Health Institutions and Services. Addis Abeba: July 2014.
Central statistical Agency EaI. Ethiopian demographic and health survey, 2016. Addis Ababa, Rockville: CSA and ICF; 2016. p. 2016.
Ochako R, Ulwodi D, Njagi P, Kimetu S, Onyango A. Trends and determinants of comprehensive HIV and AIDS knowledge among urban young women in Kenya. AIDS Res Ther. 2011;8(1):11.
Huang FL. Alternatives to multilevel modeling for the analysis of clustered data. J Exp Educ. 2016;84(1):175–96.
Zainiddinov H, Habibov N. Trends and predictors of knowledge about HIV/AIDS and its prevention and transmission methods among women in Tajikistan. Eur J Public Health. 2016;26(6):1075–9.
Nguyen VH, Lee H-Y, Nam Y-S, Tien NV, Huong TTG, Hoat LN. Secular trends in HIV knowledge and attitudes among Vietnamese women based on the Multiple Indicator Cluster Surveys, 2000, 2006, and 2011: what do we know and what should we do to protect them? Glob Health Action. 2016;9:29247.
Dimbuene ZT, Defo BK. Fostering accurate HIV/AIDS knowledge among unmarried youths in Cameroon: do family environment and peers matter? BMC Public Health. 2011;11(1):348.
Hossain M, Mani KK, Sidik SM, Shahar HK, Islam R. Knowledge and awareness about STDs among women in Bangladesh. BMC Public Health. 2014;14(1):775.
Wakabi W. Extension workers drive Ethiopia’s primary health care. Lancet. 2008;372(9642):880.
Assefa Y, Alebachew A, Lera M, Lynen L, Wouters E, Van Damme W. Scaling up antiretroviral treatment and improving patient retention in care: lessons from Ethiopia, 2005–2013. Glob Health. 2014;10(1):43.
The authors acknowledge the contributions of the team of EDHS, MEASURE DHS, and ICF International teams for their efforts to collect data and allowing us to get access to the data set. The authors also acknowledge the editors and the reviewers for their critical comments and suggestions, which improved the organization and readability of the paper.
The authors received no specific funding for this work.
Ethics approval and consent to participate
Permission for data access was obtained from Measure DHS through the online request from http://www.dhsprogram.com. During the survey, written consent was obtained from all the participants before interviewing. The data used for this study were publicly available without a personal identifier.
Consent for publication
All authors declare that they have no competing interest on the final content of the study.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Agegnehu, C.D., Geremew, B.M., Sisay, M.M. et al. Determinants of comprehensive knowledge of HIV/AIDS among reproductive age (15–49 years) women in Ethiopia: further analysis of 2016 Ethiopian demographic and health survey. AIDS Res Ther 17, 51 (2020). https://doi.org/10.1186/s12981-020-00305-z