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. 2018 Aug 9;13(8):e0201886. doi: 10.1371/journal.pone.0201886

HIV testing during pregnancy for prevention of mother-to-child transmission of HIV in Ethiopia

Yohannes Ejigu 1,2,*, Biniyam Tadesse 1,2
Editor: William A Paxton3
PMCID: PMC6084970  PMID: 30092104

Abstract

Introduction

HIV testing during pregnancy provides an entry point to prevention of mother-to-child transmission of HIV and to access treatment for HIV positive women. The study aimed to assess the uptake of HIV testing during pregnancy and associated factors among Ethiopian women.

Methods

We analyzed the 2016 Ethiopian Demographic and Health Survey dataset. Women who gave birth within one year prior to the survey were included in the analysis. Uptake of HIV testing during pregnancy is defined as receiving HIV testing service during pregnancy and/or at the time of delivery and knew the test results. Adjusted odds ratios (AORs) and 95% confidence intervals (95% CIs) were calculated by using step-wise backward logistic regression analyses to identify factors associated with HIV testing during pregnancy.

Results

A total of 2114 women who were pregnant in the last one year prior to the survey were included in the analysis. Of these, only 35.1% were tested for HIV and received the test results during pregnancy. About one third of women who had antenatal care follow-up missed the opportunity to be tested for HIV. Compared to women who had no formal education, those who had primary level education (AOR = 1.55; 95% CI: 1.12–2.15), secondary level education (AOR = 2.56 95%CI: 1.36–3.82), or higher education (AOR = 3.95, 95%CI: 1.31–11.95) were more likely to be tested for HIV during pregnancy. Similarly, having awareness about mother-to-child transmission of HIV (AOR = 2.03, 95%CI: 1.48–2.78), and living in urban areas (AOR = 3.30, 95%CI: 1.39–7.85) were positively and independently associated with uptake of HIV during pregnancy. Women who have stigmatizing attitude towards HIV positive people were less likely to be tested for HIV (AOR = 0.57, 95%CI: 0.40–0.79).

Conclusion

Uptake of HIV testing during pregnancy is low. Missed opportunity among women who had antenatal care visits was very high. Integrating HIV testing with antenatal care services, improving HIV testing service quality and access are essential to increase uptake of HIV testing during pregnancy and reach the goal of eliminating MTCT.

Introduction

Globally an estimated 1.8 million children infected with HIV in 2016 [1], and over 90% of infections among infants and children occur through mother-to-child transmission (MTCT) during pregnancy, labor/delivery, or breastfeeding [2]. The effectiveness of zidovudine in prevention of mother-to-child transmission of HIV (PMTCT) has been recognized in the early 1990th [3], and combination of antiretroviral drugs further reduces vertical transmission of HIV [4, 5]. As a result, notable progress has been made in PMTCT in both developed and developing countries [6].

HIV testing during pregnancy provides an entry point to PMTCT, treatment, care and support services when women are diagnosed with HIV [7]. However, low uptake of HIV testing has been a bottleneck for PMTCT and subsequent HIV treatment, care and support services. An estimated 30% of livings with HIV were unaware of their HIV status at the end of 2016 [8]. Previous studies have identified different barriers to uptake of HIV testing, which includes poor knowledge about MTCT, low maternal education level, fear stigma, and poor access to health services [911].

Ethiopia is one of the sub-Saharan African countries with high burden of HIV; an estimated 71,000 people live with HIV in 2016 [6]. Ethiopia started universal HIV screening of pregnant women in 2007 [12], and currently, it is committed to eliminate MTCT of HIV by 2020 and achieve the 90-90-90 treatment targets endorsed in the 2016 United Nations political declaration on ending AIDS [13, 14]. However, coverage of HIV testing during pregnancy should be at least 95% to achieve the goals [15]. In Ethiopia, almost all HIV testing during pregnancy have been provided as part of antenatal care services and only two third of pregnant women had antenatal care visits [16], which can be a bottleneck to increase uptake of HIV testing during pregnancy.

Previous Ethiopian studies assessing uptake of HIV testing during pregnancy identified socio-demographic and health system related factors influencing HIV testing during pregnancy [1720]. However, these studies were conducted among women visiting health facilities and pregnant women who did not have access to health facilities were left out. Moreover, the studies cover limited geographic scope. As to our knowledge, there was no population based national study addressing this major public health issue in Ethiopia. Therefore, the aim of our study was to assess uptake of HIV testing during pregnancy and associated factors in Ethiopia using nationally representative data from Ethiopian Demographic and Health Survey 2016 (EDHS).

Materials and methods

We used data from the EDHS 2016 survey. The survey was conducted between January 18, 2016 and June 27, 2016. It covered all nine regions and two city administrations of Ethiopia. The survey was designed to be representative of the country and each region by taking a sampling frame from the 2007 population census of Ethiopia. The current study focuses on analyzing coverage of HIV counseling and testing service during pregnancy with a primary purpose of preventing mother-to-child transmission of HIV.

Sampling strategy and data collection field work

The survey employed a stratified, two-stage cluster sampling technique. Ethiopia has nine administrative regions and two city administrations. The regions are divided in to zones, districts and kebeles (the lowest administrative units). A total of 84,915 census enumeration areas (EAs) were created by dividing kebeles with an average of 181 households per EA. Samples of 645 EAs (202 from urban and 443 from rural areas) were randomly selected, and 28 households from each EA were included in the survey by applying a systematic random sampling strategy. The survey administered questionnaires and collected biological sample from women of reproductive age group (15 to 49 years), children under five years old and men age between 15 to 59 years.

However, for this particular study, women of reproductive age group were the source population, and women who gave birth to their last child in the last one year prior to the survey were the study populations (we restricted the sample to birth in the last one year so as to minimize recall bias).We used data collected from women of reproductive age group (15–49 years) using DHS’s women’s questionnaire [21], The questionnaire was a standardized and field tested tool used in different countries and only a subset of variables were included in the current study. Data quality was preserved by pre-testing the survey tools preceding the survey, and data were collected by trained survey teams consisted of one team supervisor, one field editor, four female interviewers, and two male interviewers. In addition, independent quality control team was used to check the quality of the collected data.

Outcome variable

The outcome variable is uptake of HIV testing during pregnancy (yes or no). Uptake HIV testing during pregnancy is defined as receiving HIV testing service during pregnancy and/or at the time of delivery and knew the test results.

Predictor variables

We included potential predictors of HIV counseling and testing, such as maternal age in years, marital status (never married, married and divorced/widowed/separated), religion (Orthodox, Muslim, Protestant and Others), region, residence (urban and rural), educational status (no education, primary, secondary, and higher), wealth index (poorest, poorer, middle, richer, and richest), and awareness of MTCT of HIV was defined as awareness of women about possibility of HIV transmission from HIV positive mother to a child (yes or no). Employment status was defined as having any kind of job other than their housework in the last 12 months before the survey (not employed, or employed). Finally, stigmatizing attitude towards HIV positive people was measured by respondents’ refusal to buy vegetable form known HIV positive vendor (yes or no).

Data analysis

The survey employed a stratified two stage sampling and there was over sampling of some populations, as a result complex survey data analysis and weighting were employed as recommended by DHS [22], to make the data more representative of the national population and all the findings are based on weighted analysis. Descriptive statistics were computed to summarize socio-demographic characteristics of study participants. We compared the socio demographic characteristics of women who had HIV testing during their last pregnancy with those who were not tested for HIV using weighted chi-square tests. Moreover, we run a weighted bivariate and multivariate logistic regression analysis, reporting odds ratio (OR) and 95% confidence interval (CI). The multivariate logistic regression analysis was conducted by using step-wise backward elimination technique after including all relevant covariates in the model and eliminating one variable at a time. Variables which had P values <0.05 were considered significant. Data analysis was carried out by STATA version 14 (Stata Corp., College Station, TX).

Ethical issues

The study was approved by the Federal Democratic Republic of Ethiopia Ministry of Science and Technology and the Institutional Review Board of ICF International. Moreover, the respondents gave written consent to participate in the survey. Data collectors were trained for one month on different aspects of the data collection process, including ethical issues.

Result

Socio-demographic characteristics of study participants

A total of 2414 women who gave birth in the past one year prior to the survey were included in the analysis. Majority, 73% were in the age group of 20 to 34 years, and most, 96% were married. About 59% of women have no formal education and 44% were Muslims. Most, 80% were living in rural areas and two third of them were not employed. More than one third, 36% were classified under the poorest income category (Table 1). Women who were tested for HIV during pregnancy were more likely to be educated, urban residents, employed and have highest wealth quintile (Table 1).

Table 1. Socio-demographic characteristics of study participants.

Characteristics Total (n = 2414),
n(%)
HIV testing during pregnancy P value
Not tested, % Tested, %
Age in years
15–19 196(8.1) 70.8 29.2 0.21
20–24 587(24.3) 63.2 36.8
25–29 705(29.2) 63.7 36.3
30–34 482(20.0) 61.7 38.3
35 and above 444(18.4) 70.3 29.7
Marital status
Never married 16(0.7) 36.0 64.0 0.07
Married/live with partner 2311(95.7) 64.7 35.3
Widowed/Divorced/Separated 87(3.6) 76.9 23.1
Religion
Muslim 1065(44.1) 76.2 23.8 <0.0001
Orthodox 793(32.9) 45.9 54.1
Protestant 473(19.6) 68.8 31.2
Others 83(3.4) 80.7 19.3
Educational status
No education 1421(58.9) 75.3 24.7
Primary 775(32.1) 57.8 42.2
Secondary 162(6.7) 27.1 73.0 <0.0001
Higher 56(2.3) 10.6 89.4
Residence
Rural 2118(87.8) 71.5 28.5 <0.0001
Urban 296(12.3) 18.0 82.1
Region
Affar/ Somali 141(5.8) 83.7 16.3 <0.0001
Tigray 168(7.0) 29.6 70.4
Amhara 442(18.3) 45.0 55.0
Oromia 1074(44.5) 79.3 20.7
Benishangul-Gumuz/ Gambela 31(1.3) 64.4 35.6
SNNPR 482(20.0) 66.3 33.8
Addis Ababa/Harari/Dire Dawa 76(3.2) 14.2 85.8
Employment status
Not employed 1496(62.0) 67.5 32.6 0.05
Employed 918(38.0) 60.9 39.2
Wealth index
Poorest 546(22.6) 86.6 13.4 <0.0001
Poorer 563(23.3) 74.3 25.7
Middle 483(20.0) 69.3 30.7
Richer 432(17.9) 55.0 45.0
Richest 390(16.2) 26.6 73.4

P value is based on chi-square tests. The frequency and percentages are based on weighted analysis.

Awareness of women about MTCT, PMTCT and HIV testing

The study showed that women had awareness gap regarding MTCT of HIV. Only 61% women were aware of MTCT during pregnancy, 65% were aware of MTCT during labour/delivery, and 69% were aware of MTCT during breastfeeding. Women who were aware of MTCT during pregnancy, labor/delivery, or breastfeeding were more likely to be screened for HIV during pregnancy (Table 2).

Table 2. Awareness of women about MTCT, and their attitude towards HIV positive people.

Variables Total, (N = 2414),
n(%)
HIV testing during pregnancy
Not tested, % Tested, % p. value
Aware of MTCT during pregnancy
Yes 1472(61.0) 57.1 42.9 <0.0001
No 942(39.0) 77.3 22.8
Aware of MTCT during delivery
Yes 1570(65.0) 57.3 42.7 <0.0001
No 844(35.0) 79.2 20.8
Aware of MTCT during breastfeeding
Yes 1671(69.2) 56.8 43.2 <0.0001
No 743(30.8) 83.3 16.7
Have stigmatizing attitude towards HIV positive people
Yes 738(30.6) 74.0 26.0 <0.0001
No 1676(69.4) 44.3 55.7

The table is based on weighted analysis. MTCT: mother to child transmission of HIV

The study showed a considerable missed opportunity along the cascade of maternal health care services during pregnancy. As can be seen from Fig 1, only 35% of women were tested for HIV and received the test results although two thirds, 67% of women had at least one ANC visit during their last pregnancy. About one third of women who had antenatal care follow-up missed the opportunity to be tested for HIV. Moreover, only 22% women received post HIV test counseling (Fig 1).

Fig 1. Uptake of ANC, HIV counseling and testing services.

Fig 1

ANC: antenatal care. PMTCT: prevention of mother-to-child transmission of HIV. All percentages are calculated from the total number of women. Ever been tested for HIV in their life time include HIV testing during last pregnancy.

Factors associated with HIV testing during pregnancy

In bivariate analysis, marital status, religion, level of education, place of residence, region, employment status, wealth, awareness of MTCT during pregnancy and having stigmatizing attitude towards HIV positive people were significantly associated with HIV testing during pregnancy. In multivariate logistic regression analysis, level of education, marital status, place of residence, region, wealth, awareness of MTCT during pregnancy and having stigmatizing attitude towards HIV positive people remained significantly associated. The associations of HIV testing with employment status and religion which were observed in bivariate analysis were attenuated in multivariate analysis.

Having formal education was positively associated with HIV testing during pregnancy. Compared to women who had no formal education, those who had primary level education (AOR = 1.55; 95% CI: 1.12–2.15), secondary level education (AOR = 2.56 95%CI: 1.36–3.82), or higher education (AOR = 3.95, 95%CI: 1.31–11.95) were more likely to be tested for HIV during pregnancy. Moreover, women who were aware of MTCT during pregnancy were twice more likely to be tested for HIV during pregnancy (AOR = 2.03, 95%CI: 1.48–2.78), however, women who had stigmatizing attitude towards HIV positive people were less likely to be tested for HIV (AOR = 0.57, 95%CI: 0.40–0.79). Place of residence and region were also significant predictors of uptake of HIV testing during pregnancy. Women who live in urban areas were three times more likely to be tested for HIV during pregnancy compared to rural residents (AOR = 3.30, 95%CI: 1.39–7.85). Similarly, Compared to women who live in predominantly pastoralist regions (Afar/Somali), those who live in predominantly agrarian regions (Tigray and Amhara), or those who live in predominantly urban regions (Addis Ababa/Harari/Dire-Dawa) were more likely to be tested for HIV during pregnancy. The likelihood of being tested for HIV increase as wealth index increased from the poorest to the richest category. Women in richest category were six times more likely to be tested for HIV as compared to women in the poorest category (AOR = 5.84, 95% CI: 2.99–11.43) (Table 3).

Table 3. Factors associated with HIV testing during pregnancy.

Characteristics HIV testing during pregnancy Unadjusted OR (95% CI) Adjusted OR (95% CI)
Not tested, % Tested, %
Age in years
15–19 70.8 29.2 1
20–24 63.2 36.8 1.42(0.88–2.27)
25–29 63.7 36.3 1.39(0.86–2.24)
30–34 61.7 38.3 1.51(0.89–2.55)
35 and above 70.3 29.7 1.03(0.61–1.71)
Marital status
Never married 36.0 64.0 1 1
Married/live with partner 64.7 35.3 0.31(0.64–1.48) 0.23(0.04–1.21)
Widowed/Divorced/Separated 76.9 23.1 0.17(0.03–0.89) 0.07(0.01–0.46)
Religion
Muslim 76.2 23.8 1
Orthodox 45.9 54.1 3.77(2.52–5.66)
Protestant 68.8 31.2 1.45(0.92–2.28)
Others 80.7 19.3 0.76(0.24–2.46)
Educational status
No education 75.3 24.7 1 1
Primary 57.8 42.2 2.22(1.67–2.95) 1.55(1.12–2.15)
Secondary 27.1 73.0 8.22(4.69–14.39) 2.56(1.36–4.82)
Higher 10.6 89.4 25.62(8.57–76.57) 3.95(1.31–11.95)
Residence
Rural 71.5 28.5 1 1
Urban 18.0 82.1 11.47 (6.48–20.32) 3.30(1.39–7.85)
Region
Affar/ Somali 83.7 16.3 1 1
Tigray 29.6 70.4 12.23 (7.50–19.95) 9.55(5.17–17.64)
Amhara 45.0 55.0 6.30(3.94–10.06) 4.16(2.22–7.79)
Oromia 79.3 20.7 1.34(0.82–2.22) 0.79(0.43–1.46)
Benishangul-Gumuz/ Gambela 64.4 35.6 2.85(1.72–4.73) 1.80(0.92–3.50)
SNNPR 66.3 33.8 2.62(1.71–4.03) 1.53(0.79–2.95)
Addis Ababa/Harari/Dire Dawa 14.2 85.8 31.21 (19.04–51.14) 3.55(1.83–6.90)
Employment status
Not employed 67.5 32.6 1
Employed 60.9 39.2 1.33(1.00–1.79)
Wealth index
Poorest 86.6 13.4 1 1
Poorer 74.3 25.7 2.24(1.42–3.53) 2.32(1.47–3.66)
Middle 69.3 30.7 2.87(1.75–4.70) 3.27(1.94–5.52)
Richer 55.0 45.0 5.30(3.29–8.53) 5.43(3.31–8.89)
Richest 26.6 73.4 17.84(10.39–30.34) 5.84(2.99–11.43)
Aware of MTCT during pregnancy
No 77.3 22.8 1 1
Yes 57.1 42.9 1.67(1.27–2.18) 2.03 (1.48–2.78)
Have stigmatizing attitude towards HIV positive people
No 44.3 55.7 1 1
Yes 74.0 26.0 0.28(0.21–0.36) 0.57(0.40–0.79)

OR: odds ratio. MTCT: Mother-to-child transmission of HIV

Discussion

HIV testing during pregnancy provides an opportunity to PMTCT services and to initiate lifelong antiretroviral treatment for HIV positive women before disease progress to AIDS. Our study showed that only 35% of women were tested for HIV during pregnancy and a large proportion of women missed the opportunity to be tested for HIV although they had at least one ANC visit during pregnancy. The finding is a far from the recommendation WHO and Ethiopian government which states that all pregnant women attending ANC should be offered provider initiated HIV testing and counseling [23, 24]. The study also revealed that more than half of women have never been tested for HIV in their lifetime, which indicates majority of HIV positive women did not have the opportunity to protect their children from vertical transmission of HIV infection and sought antiretroviral treatment for their own health. Women who are not tested for HIV during ANC follow-up may not get a chance to be tested for HIV during postnatal care visit because only 7% of Ethiopian women visited health facilities for postnatal check-up [16].

Ethiopia is committed to the goal of eliminating HIV infection among children by 2020, however, one of the criteria for elimination of MTCT is achieving 95% coverage of HIV testing among pregnant women [15]. Moreover, to achieve the global 90-90-90 HIV treatment target 90% of HIV positive individuals should know their HIV status. But, our finding of only 35% HIV testing during pregnancy indicates elimination of MTCT by 2020 and the 90-90-90 target doubtful. The low HIV testing coverage could be explained by low level of awareness about MTCT during pregnancy; poor level of integration of HIV testing with routine ANC services and poor quality ANC service which can be demonstrated by large number of missed opportunity to be tested among pregnant women who had ANC visits. Moreover, one third of pregnant women did not have ANC visit during pregnancy which could indicate lack of access to maternal health services. Our finding of HIV testing during pregnancy is very low as compared to neighboring African countries. For example, a national survey in Kenya reported that 95% women attended ANC during their last pregnancy, of these, 93% accepted HIV testing and 98% of those tested received the test results [25]. Similarly other studies also reported higher uptake of HIV testing during pregnancy [26, 27].

Our study also showed that proportion of women tested for HIV during pregnancy was uneven across different regions of the country. The coverage ranges from 16% in Afar/Somali regions to 70% in Tigray region. People in Afar and Somali regions are predominantly pastoralists and they move from place to place to place as a result it could be difficult to provide health services. Similar to our findings, previous reports also indicated a very low reproductive, maternal, neonatal and child health service coverage in Afar and Somali regions as compared to other regions of Ethiopia [28]. The study also revealed, a large gap regarding uptake of HIV testing between urban and rural women (82% versus 29%). In Ethiopia, HIV prevalence is higher in urban than rural areas [13], and on the surface, targeting urban residents looks appropriate. However, more than 80% of Ethiopian population resides in rural areas [29], as a result large number of HIV positive women will be left undiagnosed if rural women have no access to HIV testing. Moreover, different studies demonstrated that universal HIV testing of pregnant women is more cost saving and cost effective in different HIV epidemic contexts as compared to targeted HIV testing approaches [3032].

Education and awareness of women about MTCT during pregnancy were independently and positively associated with HIV testing. Our findings are consistent with previous studies conducted in Ethiopia [17], other African countries [33, 34]. Similarly, uptake of HIV testing during pregnancy was higher among wealthiest categories although HIV testing is provided free of charge in public health facilities. Similar findings were reported by previous studies [35, 36]. Women who had stigmatizing attitude towards HIV positive people were less likely to be tested for HIV. The finding is consistent with other studies [33, 37, 38].

This study should be understood in light of the following strengths and limitations. The study is based on a population data collected from all over the country with nationally representative sample. However, the following limitations should be highlighted. Respondents may not remember past events, which potentially could introduce recall bias, but we restricted our study to women who gave birth during the past one year prior to the survey to minimize potential recall bias. HIV infected pregnant women who knew their statuses before the current pregnancy do not need another HIV testing. But this may not cause significant effect in the overall result, as the expected proportion of HIV infected women in Ethiopia is below 1.5%.

Conclusion

In conclusion, uptake of HIV testing during pregnancy in Ethiopia is low, substantial number of pregnant women who had ANC visit missed the opportunity to get tested for HIV indicating poor quality services or poor integration of HIV testing with maternal health services. Moreover, uptake of HIV testing was uneven across regions and it was very low in rural areas. Ethiopia could not eliminate pediatric HIV infection unless HIV testing during pregnancy is scaled up. Individual level factors, such as level of education, awareness of MTCT during pregnancy, having stigmatizing attitude towards HIV positive people and economic status were independent predictors of HIV testing during pregnancy. We recommend integration of HIV testing during pregnancy with ANC services and improving quality of ANC services. Moreover, expanding ANC services to rural areas to improve access and coverage; innovative HIV testing approaches should be designed to reach pregnant women from pastoralist regions. Furthermore, community level education about HIV and MTCT for women of reproductive age group could improve uptake of HIV testing during pregnancy.

Data Availability

We used the Ethiopian Demographic and Health Survey data, collected in 2016. The data is available to the following URL link: https://dhsprogram.com/data/available-datasets.cfm It can be downloaded after registration following the link. Those interested would be able to access these data in the same manner as the authors. The authors also did not have any special access privileges when accessing the data that others would not have.

Funding Statement

The author(s) received no specific funding for this work.

References

  • 1.UNAIDS. AIDS by the Numbers [Internet]. 2016 [cited October 2017]. Available from: http://www.unaids.org/sites/default/files/media_asset/AIDS-by-the-numbers-2016_en.pdf.
  • 2.WHO. Antiretroviral drugs for treating pregnant women and preventing HIV infection in infants in resource-limited settings; Towards universal access. Recommendations for a public health approach [Internet]. 2006 [cited May 2018]. Available from: www.who.int/hiv/pub/mtct/antiretroviral/en.
  • 3.Connor EM, Sperling RS, Gelber R, Kiselev P, Scott G, O'Sullivan MJ, et al. Reduction of maternal-infant transmission of human immunodeficiency virus type 1 with zidovudine treatment. Pediatric AIDS Clinical Trials Group Protocol 076 Study Group. The New England journal of medicine. 1994;331(18):1173–80. 10.1056/NEJM199411033311801 [DOI] [PubMed] [Google Scholar]
  • 4.Fowler MG, Qin M, Fiscus SA, Currier JS, Flynn PM, Chipato T, et al. Benefits and Risks of Antiretroviral Therapy for Perinatal HIV Prevention. N Engl J Med. 2016;375(18):1726–37. 10.1056/NEJMoa1511691 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gartland MG, Chintu NT, Li MS, Lembalemba MK, Mulenga SN, Bweupe M, et al. Field effectiveness of combination antiretroviral prophylaxis for the prevention of mother-to-child HIV transmission in rural Zambia. Aids. 2013;27(8):1253–62. 10.1097/QAD.0b013e32835e3937 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.UNAIDS. UNAIDS data 2017 [Internet]. 2018 [cited May 2017]. Available from: http://www.unaids.org/sites/default/files/media_asset/20170720_Data_book_2017_en.pdf.
  • 7.WHO. Consolidated Guidelines on HIV testing services, Geneva, Switherland July 2015.
  • 8.UNAIDS. HIV testing services: new opportunities and ongoing challenges [Internet]. 2017 [cited May 2018]. Available from: http://www.unaids.org/sites/default/files/media_asset/2017_WHO-UNAIDS_statement_HIV-testing-services_en.pdf.
  • 9.Li C, Yang L, Kong J. Cognitive factors associated with the willingness for HIV testing among pregnant women in China. Chinese medical journal. 2014;127(19):3423–7. [PubMed] [Google Scholar]
  • 10.Ghoma-Linguissi LS, Ebourombi DF, Sidibe A, Kivouele TS, Vouvoungui JC, Poulain P, et al. Factors influencing acceptability of voluntary HIV testing among pregnant women in Gamboma, Republic of Congo. BMC Res Notes. 2015;8:652 10.1186/s13104-015-1651-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gourlay A, Birdthistle I, Mburu G, Iorpenda K, Wringe A. Barriers and facilitating factors to the uptake of antiretroviral drugs for prevention of mother-to-child transmission of HIV in sub-Saharan Africa: a systematic review. J Int AIDS Soc. 2013;16:18588 10.7448/IAS.16.1.18588 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.FHAPCO/FMOHE. Guidelines for HIV Counselling and Testing in Ethiopia July 2007.
  • 13.Federal HIV Prevention and Control Office of Ethiopia. HIV/AIDS Strategic Plan 2015–2020 in in an investment case aproach [Internet]. December 2014 [cited October 2017]. Available from: http://www.moh.gov.et/web/guest/bycategory
  • 14.UNAIDS. 90-90-90. An ambitious treatment target to help end the AIDS epidemic. [Internet]. 2014 [cited April 2017]. Available from: http://www.unaids.org/sites/default/files/media_asset/90-90-90_en_0.pdf.
  • 15.Global guidance on criteria and processes for validation: elimination of mother-to-child transmission (EMTCT) of HIVand syphilis. [Internet]. 2014 [cited October 2017]. Available from: http://www.who.int/reproductivehealth/publications/rtis/9789241505888/en/
  • 16.Central Statistical Agency (CSA),Ethiopia and ICF. 2016. Ethiopia Demographic and Health Survey 2016 Addis Ababa, Ethiopia, and Rockville, Maryland, USA: CSA and ICF. [Google Scholar]
  • 17.Alemu YM, Ambaw F, Wilder-Smith A. Utilization of HIV testing services among pregnant mothers in low income primary care settings in northern Ethiopia: a cross sectional study. BMC pregnancy and childbirth. 2017;17(1):199 10.1186/s12884-017-1389-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Deressa W, Seme A, Asefa A, Teshome G, Enqusellassie F. Utilization of PMTCT services and associated factors among pregnant women attending antenatal clinics in Addis Ababa, Ethiopia. BMC pregnancy and childbirth. 2014;14:328 10.1186/1471-2393-14-328 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Workagegn F, Kiros G, Abebe L. Predictors of HIV-test utilization in PMTCT among antenatal care attendees in government health centers: institution-based cross-sectional study using health belief model in Addis Ababa, Ethiopia, 2013. HIV/AIDS (Auckland, NZ). 2015;7:215–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Malaju MT, Alene GD. Assessment of utilization of provider-initiated HIV testing and counseling as an intervention for prevention of mother to child transmission of HIV and associated factors among pregnant women in Gondar town, North West Ethiopia. BMC Public Health. 2012;12(1):226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.ICF International. 2011. Demographic and Health Surveys Methodology—Questionnaires: Household, Woman’s, and Man’s. MEASURE DHS Phase III: Calverton, Maryland, USA. http://www.measuredhs.com/publications/publication-DHSQ6-DHS-Questionnaires-and-Manuals.cfm [Internet]. [cited October 2017]. Available from: http://www.measuredhs.com/publications/publication-DHSQ6-DHS-Questionnaires-and-Manuals.cfm.
  • 22.Demographic and Health Survey. Using datasets for analysis. [Internet]. [cited May 2 2018]. Available from: https://dhsprogram.com/data/Using-DataSets-for-Analysis.cfm#CP_JUMP_14042.
  • 23.Federal Ministry of Health. Guidelines for Comprehencive HIV Prevention, Care and Treatment Feb. 2017, Addis Ababa, Ethiopia.
  • 24.WHO Guidelines Approved by the Guidelines Review Committee. Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection: Recommendations for a Public Health Approach Geneva: World Health Organization; 2016. [PubMed] [Google Scholar]
  • 25.Sirengo M, Muthoni L, Kellogg TA, Kim AA, Katana A, Mwanyumba S, et al. Mother-to-child transmission of HIV in Kenya: results from a nationally representative study. Journal of acquired immune deficiency syndromes (1999). 2014;66 Suppl 1:S66–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kohler PK, Okanda J, Kinuthia J, Mills LA, Olilo G, Odhiambo F, et al. Community-based evaluation of PMTCT uptake in Nyanza Province, Kenya. PLoS One. 2014;9(10):e110110 10.1371/journal.pone.0110110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Domingues RM, Szwarcwald CL, Souza PR Jr., Leal Mdo C. Prenatal testing and prevalence of HIV infection during pregnancy: data from the "Birth in Brazil" study, a national hospital-based study. BMC Infect Dis. 2015;15:100 10.1186/s12879-015-0837-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ruducha J, Mann C, Singh NS, Gemebo TD, Tessema NS, Baschieri A, et al. How Ethiopia achieved Millennium Development Goal 4 through multisectoral interventions: a Countdown to 2015 case study. The Lancet Global Health. 2017;5(11):e1142–e51. 10.1016/S2214-109X(17)30331-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Central Statistical Agency. Population projection for 2016 [Internet]. [cited October 2017]. Available from: www.csa.gov.et.
  • 30.Ishikawa N, Dalal S, Johnson C, Hogan DR, Shimbo T, Shaffer N, et al. Should HIV testing for all pregnant women continue? Cost-effectiveness of universal antenatal testing compared to focused approaches across high to very low HIV prevalence settings. J Int AIDS Soc. 2016;19(1):21212 10.7448/IAS.19.1.21212 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Bert F, Gualano MR, Biancone P, Brescia V, Camussi E, Martorana M, et al. HIV screening in pregnant women: A systematic review of cost-effectiveness studies. The International journal of health planning and management. 2018;33(1):31–50. 10.1002/hpm.2418 [DOI] [PubMed] [Google Scholar]
  • 32.Chowers M, Shavit O. Economic evaluation of universal prenatal HIV screening compared with current 'at risk' policy in a very low prevalence country. Sex Transm Infect. 2017;93(2):112–7. 10.1136/sextrans-2015-052497 [DOI] [PubMed] [Google Scholar]
  • 33.Gunn JK, Asaolu IO, Center KE, Gibson SJ, Wightman P, Ezeanolue EE, et al. Antenatal care and uptake of HIV testing among pregnant women in sub-Saharan Africa: a cross-sectional study. J Int AIDS Soc. 2016;19(1):20605 10.7448/IAS.19.1.20605 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Qiao S, Zhang Y, Li X, Menon JA. Facilitators and barriers for HIV-testing in Zambia: A systematic review of multi-level factors. PloS one. 2018;13(2):e0192327 10.1371/journal.pone.0192327 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.El Bcheraoui C, Nieto Gomez AI, Dubon Abrego MA, Gagnier MC, Sutton MY, Mokdad AH. Disparities in HIV screening among pregnant women—El Salvador, 2011. PLoS One. 2013;8(12):e82760 10.1371/journal.pone.0082760 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Larsson EC, Thorson AE, Pariyo G, Waiswa P, Kadobera D, Marrone G, et al. Missed Opportunities: barriers to HIV testing during pregnancy from a population based cohort study in rural Uganda. PLoS One. 2012;7(8):e37590 10.1371/journal.pone.0037590 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kohler PK, Ondenge K, Mills LA, Okanda J, Kinuthia J, Olilo G, et al. Shame, guilt, and stress: community perceptions of barriers to engaging in prevention of mother to child transmission (PMTCT) programs in western Kenya. AIDS Patient Care STDs. 2014;28(12):643 51. 10.1089/apc.2014.0171 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Abtew S, Awoke W, Asrat A. Acceptability of provider-initiated HIV testing as an intervention for prevention of mother to child transmission of HIV and associated factors among pregnant women attending at Public Health Facilities in Assosa town, Northwest Ethiopia. BMC Res Notes. 2015;8:661 10.1186/s13104-015-1652-4 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

We used the Ethiopian Demographic and Health Survey data, collected in 2016. The data is available to the following URL link: https://dhsprogram.com/data/available-datasets.cfm It can be downloaded after registration following the link. Those interested would be able to access these data in the same manner as the authors. The authors also did not have any special access privileges when accessing the data that others would not have.


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