Skip to main content

Health system strategies to increase HIV screening among pregnant women in Mesoamerica



To propose health system strategies to meeting the World Health Organization (WHO) recommendations on HIV screening through antenatal care (ANC) services, we assessed predictors of HIV screening, and simulated the impact of changes in these predictors on the probability of HIV screening in Guatemala, Honduras, Mexico (State of Chiapas), Nicaragua, Panama, and El Salvador.


We interviewed a representative sample of women of reproductive age from the poorest Mesoamerican areas on ANC services, including HIV screening. We used a multivariate logistic regression model to examine correlates of HIV screening. First differences in expected probabilities of HIV screening were simulated for health system correlates that were associated with HIV screening.


Overall, 40.7% of women were screened for HIV during their last pregnancy through ANC. This rate was highest in El Salvador and lowest in Guatemala. The probability of HIV screening increased with education, household expenditure, the number of ANC visits, and the type of health care attendant of ANC visits. If all women were to be attended by a nurse, or a physician, and were to receive at least four ANC visits, the probability of HIV screening would increase by 12.5% to reach 45.8%.


To meet WHO’s recommendations for HIV screening, special attention should be given to the poorest and least educated women to ensure health equity and progress toward an HIV-free generation. In parallel, health systems should be strengthened in terms of testing and human resources to ensure that every pregnant woman gets screened for HIV. A 12.5% increase in HIV screening would require a minimum of four ANC visits and an appropriate professional attendance of these visits.

Peer Review reports


The Mesoamerican region faced challenges working towards Millennium Development Goals 4 and 5 of reducing child and maternal mortality [1]. The Mesoamerican Health Initiative, Salud Mesoamérica (SMI), was launched in 2009, as a health system strengthening (HSS) strategy to address the health issues faced by the poorest quintile of the population in El Salvador, Guatemala, Honduras, Nicaragua, Belize, Costa Rica, Panama, and the State of Chiapas in Mexico [2,3,4]. This public-private partnership between eight Mesoamerican countries and several international donors works to deliver integrated supply- and demand-side interventions by using results-based financing, implementing evidence-based health policies and interventions, and creating incentives to increase the use and quality of maternal and child health services for the poorest quintile of the population. One of SMI’s adopted strategies is Essential Obstetric and Neonatal Care, which focuses on providing women with the best, evidence-based practices for their reproductive health [5].

The HIV epidemic is a health challenge in Mesoamerica, and socio-economic factors contribute to HIV disparities in the region, especially among the prenatally-infected populations [6, 7]. In 2015, HIV/AIDS, claimed more than 19,000 disability-adjusted life years from Mesoamerican children less than 5 years old living in El Salvador, Guatemala, Honduras, Mexico, Nicaragua, and Panama [7] with prevalence increasing among women of reproductive age since 2005, and in all six countries except for Guatemala. All Mesoamerican countries identify pregnant women among their HIV high-risk groups, given the potential of HIV transmission to children during pregnancy, and adopted policies for HIV-free generations by 2015 [8,9,10,11,12,13,14,15,16,17,18,19]. However, in 2014, all of Panama, Honduras, Guatemala, El Salvador, Mexico, and Nicaragua registered more than 1000 new HIV cases each [10,11,12, 17,18,19]. Mother-to-child transmission is responsible for 3.2%, 5.1%, 6.0%, and 6.1% of new cases in Panama, Guatemala, El Salvador, and Honduras, respectively (no relevant information is available for Mexico and Nicaragua) implying over 200 new infected babies based on the number of HIV cases for 2014, and making the HIV-free generation goals harder to achieve [20].

Given the continued mother-to-child transmission in these six countries, it is crucial to assess the stages of the HIV care cascade that need attention. In line with the World Health Organization guidelines for prevention of this mode of HIV transmission, pregnant women are to receive antenatal care services during which they need to be screened for HIV, and then linked to treatment in case they were positive, in order to prevent transmission to their baby [21, 22]. HIV screening through ANC is the first and most crucial step in preventing mother-to-child transmission. However, the rates and determinants of ANC and HIV screening in pregnancy in Mesoamerica are unknown in the absence of established surveillance systems to monitor these essential indicators, making it impossible to track countries’ progress on ANC and the goals of HIV-free generations. SMI is paralleled with a prospective evaluation process, based on household, health facility, and school surveys. We analyzed data from the first round of household surveys of the SMI in Guatemala, Honduras, Mexico, Nicaragua, Panama, and El Salvador to 1) assess predictors of low coverage of ANC and HIV screening, and 2) simulate the impact of modifiable predictors to improve rates of HIV screening among pregnant women.


Aim, design, and setting

The data analyzed were collected as part of SMI’s evaluation plan. In order to establish the baseline performance for SMI indicators, surveys were conducted in households and health facilities in each country. Governments and the Inter-American Development Bank worked together to identify the poorest geographic regions in each country, which were designated as the target areas for the initiative. Using the most recent national census, these areas were divided into segments designed to contain between 150 and 200 households. Small segments were grouped to meet a minimum sample size and, on few occasions, large areas were split using roads. The minimum sample size was reached based on power calculation for each of the indicators. To select study participants, we followed the following four steps:

First, we conducted our own censuses of all households within each selected primary sampling unit; this ensured we used the correct denominator in indicator estimation and allowed us to account for the potential movement of the poor population in the study areas since the last national census. Second, we identified households eligible for the survey and which constituted our sampling frame. These are households that have at least one woman 15–49 years of age, or one child under the age of 5. Third, from eligible households, a randomly selected subset was chosen for the survey. All households sampled at this stage completed a household questionnaire [4]. The household questionnaire collected information on the source of water, type of toilet facilities, exposure to secondhand smoke, ownership of various assets including durable goods, agricultural land, and livestock, and household expenses and sources of health care financing. Fourth, women of reproductive age in the selected households completed the maternal and child health questionnaire.


The maternal and child health questionnaire collected information from all women of reproductive age (15–49 years) in the selected households. Women with children aged 0–5 years were asked detailed questions in reference to each child born in the past 5 years regarding recent illness, diet, and vaccination history, which was captured using both caregiver recall and vaccination card (when available). Women were also asked questions about different health-related topics including antenatal, delivery, and postpartum care and detailed questions in reference to each child born in the past 5 years on ANC, such as services received during their visits, including if they had received an HIV test as part of these visits. Since data were self-reported, we analyzed data from the most recent pregnancy to account for recall bias.

The SMI surveys were conducted using a computer-assisted personal interview. Field surveyors were trained to enter data directly into the computer while administering the survey to the respondents. Additional details on SMI methodology and implementation are available elsewhere [4].

Statistical analysis

Backward elimination multivariable logistic regression models were developed for each of the following outcomes of interest: receiving ANC, being offered an HIV test, and having received an HIV test through ANC. Potential predictors of interest included age, marital status, education, household monthly expenditure, health care coverage, number of ANC visits, type of health care setting visited for ANC, attendant of ANC visits, and country of residence. For comparisons between countries, Guatemala was used as the reference country based on alphabetical order. Data were weighted to reflect 1) the probability of the segment being selected, 2) the probability of the household being selected, 3) the proportion of women surveyed in the selected households, and 4) the post-stratification differences in age and sex distribution between the samples and the census. We modeled the data using SAS 9.3 to account for the complex survey design.

Later, we simulated the distribution of the expected probability of HIV screening based on the regression model described above for factors that were significantly associated with HIV screening, and were modifiable. For our analysis, a modifiable factor is any factor that is not biologically or socially fixed and can be changed through policy or intervention. For example, sex and age are not modifiable factors, whereas having health insurance and receiving ANC services are. These factors were the number of ANC visits received during pregnancy, and the type of health care attendant during ANC visits. For example, we simulated the distribution of the expected probability of HIV screening if all women received 1) four or more, or 2) three or less NAC visits. Then, first differences were calculated as the differences between the means of these two distributions of expected probabilities. This method is explained in detail by King et al. 2000 [23]. For each factor, we simulated the expected probability for the best and the worst scenario, then computed the differences in the expected probabilities. For comparison purposes, we also repeated this analysis by women’s educational level. We used R to simulate the expected probabilities and first differences.


Between March 2011 and August 2013, a total of 26,172 women of reproductive age were interviewed from the six countries. Their sociodemographic characteristics are presented in Table 1.

Table 1 Sociodemographic characteristics of women of reproductive age interviewed

Of these 16,259 (62.1%), representing a weighted estimate of 400,115 women in the studies areas, delivered a live birth within the last 5 years.

Among Mesoamerican women who delivered a live birth within the last 5 years in the studies areas, we estimate that 374,295 (93.5%; 95% confidence interval [CI]: 92.7–94.4), or an unweighted frequency of 14,801 (91.0%), received ANC. This varied from as low as 80.2% (95% CI: 77.5–82.9) in Guatemala to almost universal coverage in El Salvador (98.0%; 95% CI: 97.4–98.6). Reception of antenatal care varied according to women’s educational level, marital status, household economic level, and health care coverage (Table 2). Educated and married women, those who lived in a household of middle and higher expenditure tertiles, and those who had insurance were more likely to have received ANC during their last pregnancy.

Table 2 Antenatal care reception during last pregnancy, Mesoamerican women, 15–49 years old

Among women who received ANC, the probability of being offered an HIV test was 0.43 (95% CI: 0.40–0.47) and varied between groups. For instance, the lowest probability, 0.20, was among women who had health insurance. The highest probability, 0.84, was among women who lived in El Salvador. Education, marital status, household economic level, medical insurance, number of ANC visits, type of attendants at ANC visits, health care settings where ANC visits were received, and country of residence all were associated with the probability of being offered an HIV test through ANC (Table 3).

Table 3 Offering HIV screening through antenatal care, last pregnancy, Mesoamerican women, 15–49 years old

Among women who received ANC, 40.7% (95% CI: 37.1–44.3) were screened for HIV. The probability of having received an HIV test through ANC was higher among women who completed primary school or took a literacy course (adjusted odds ratio [AOR]: 1.51; 95% CI: 1.16–1.95), secondary school (AOR: 2.68; 95% CI: 2.01–3.56), high school (AOR: 4.07; 95% CI: 2.82–5.86), or went to a technical school or university (AOR: 2.83; 95% CI: 1.95–4.10), women from the second tertile (AOR: 1.37; 95% CI: 1.14–1.63) or third tertile (AOR: 1.89; 95% CI: 1.43–2.49) of household monthly expenditure, those who had four or more ANC visits (AOR: 2.10; 95% CI: 1.70–2.71), those who were seen by a physician or nurse during their ANC visit (AOR: 2.10; 95% CI: 1.70–2.61), and women who lived in Honduras (AOR: 2.77; 95% CI: 1.65–4.66), Nicaragua (AOR: 14.20; 95% CI: 10.27–19.63), Panama (AOR: 2.35; 95% CI: 1.44–3.83), and El Salvador (AOR: 21.10; 95% CI: 14.71–30.13), compared to women with no schooling, those from the lowest household monthly expenditure tertile, those who received fewer than four ANC visits, those who were seen by other types of health care providers, and women living in Guatemala. This probability decreased for currently married women (AOR: 0.65; 95% CI: 0.49–0.87), and those who went to another type of public health care setting (AOR: 0.73; 95% CI: 0.57–0.93), compared to never-married women, and those who went to a public hospital for ANC (Table 4).

Table 4 HIV screening through antenatal care, last pregnancy, Mesoamerican women, 15–49 years old

The probability of HIV screening among women who have received ANC based on the current data is at 0.41. If all women were to receive four or more ANC visits, their HIV screening probability would increase, on average, by 0.02 compared to the case where all women were to receive three or less ANC visits (Fig. 1a). HIV screening probability would increase, on average, by 0.026 if all women were to be seen by a physician or a nurse compared to the case where all women were seen by any other type of attendants (Fig. 1b). If all women were to receive at least four ANC visits and be seen by a physician or a nurse, their probability of being screened for HIV would increase by 0.05, bringing the current expected probability to 0.46 (Fig. 1c). That is 46% of pregnant women would be screened for HIV through ANC, a 12.5% increase from the current levels. If the educational level of all women would increase to the highest level as is currently in our sample, HIV screening probability would increase, on average, by 0.04, compared to the case where all women would still be at the lowest level of education as is in our sample (Fig. 1d).

Fig. 1
figure 1

Distribution of differences in expected probabilities of HIV screening between (a) women who received four or more and those who received three or less antenatal care visits, (b) women who were attended by a physician or a nurse and those who were not, (c) women who received four or more antenatal care visits and were attended by a physician or a nurse, and those who received less than four antenatal care visits and were not attended by a physician or a nurse, and (d) most and least educated women (MFD: Mean first difference)Note: The area under the curve, in each panel, represents the distribution of the differences between the expected probabilities of HIV testing under two scenarios for a simulated modifiable factor. The red line represents the mean of the distribution. The x-axis represents the first differences in the expected probabilities of HIV screening and is limited to the probabilities obtained from the simulated first differences. The y-axis represents the density of the probability distribution of the first differences and is limited to the maximum observed density. For example, in panel A, the interval of the simulated first differences in the expected probabilities of HIV screening between women who received four or more and those who received three or less antenatal care visits is approximately [− 0.05 to 0.10]. However, the vast majority of this interval is [0.0 to 0.50], and the mean first difference is at 0.022


We found large disparities, at the individual, institutional, and national levels, in provision of ANC services, and even larger ones in performing HIV screening during ANC when care was provided. While our study revealed a low rate of HIV screening during pregnancy in this population, it also proposed increasing the number of ANC visits and provision of care through ANC by nurses and physicians as a strategy to increase the probability of HIV screening during pregnancy to achieve HIV-free generations in the region. Our findings highlight the role of women’s education in receiving ANC and being screened for HIV. Increasing women’s educational level would, however, be a difficult intervention in a short time span. Married women were more likely to receive ANC than single women, but were less likely to receive HIV screening. Poverty also played a role in HIV screening rates. Women from the poorest households were the least likely to receive ANC, be offered an HIV test, and receive an HIV test. Those who had health coverage were more likely to receive ANC. At the institutional level, a higher number of ANC visits and the presence of a physician or a nurse increased the chances for HIV screening. When ANC was received through a smaller public health care facility (i.e., not a public health unit or hospital), women were more likely to be screened. Characteristics of health care facilities, such as staffing, bed size, or platform types, often have implications on clinical performance and patients’ health outcomes [24,25,26]. Beyond this, uptake on ANC and HIV screening during pregnancy varied widely between countries. While El Salvador achieved 98% coverage of ANC and an 84% HIV screening rate among pregnant women, only 80% of pregnant women received ANC in Guatemala. More so, only 9% of these were screened for HIV during their pregnancy. With these large disparities, achieving equity in health for all Mesoamerican women requires more focused efforts, and presents a challenge for SMI. Our most unfortunate finding is the fact that pregnant women in Panama, Honduras, and Guatemala were the least likely to be screened for HIV. In these countries, HIV/AIDS is the fifth-, third-, and eleventh-leading cause of death, respectively, for women of reproductive age.

Our study has several strengths as it is based on large sample sizes and we used standardized methods for data collection and strict measurements for data quality. It is also subject to some limitations. First, recall bias may have contributed to a lower reporting of testing. However, we restricted our analyses to the last pregnancy to reduce this effect. Also, it is possible that participants might be unaware of the tests they received due to their lack of knowledge around laboratory assessments, and providers might have followed an opt-out strategy for screening which was missed by our participants. This may be more relevant for women with less education. However, our data show low rates of screening among educated women. Further, our study did not collect information on the results of HIV screening from those who were tested. Since the aims of the data collection were not specific to HIV, we did not have IRB approval to collect this information. Finally, our study was conducted in the poorest areas and should not be representative of the whole country. However, all countries have the same health and preventive guidelines for the whole country.

Given that most of the published literature on HIV during pregnancy is from Africa, it is hard to compare our study to other ones. This is the first and largest comparative study to report on ANC and HIV screening during pregnancy in poor areas of six Mesoamerican countries, and propose health system solutions to increase the probability of HIV screening among pregnant women. More so, most of the published literature on this topic is restricted to identifying factors associated with HIV screening. Our study not only uncovers these but also measures the impact of their change on the probability of HIV screening.

To achieve an HIV-free generation, all pregnant women should be tested for HIV, and those who are found positive should receive therapy to ensure suppression of the virus and prevention of mother-to-child transmission [27]. Indeed, as HIV treatment has improved remarkably over the last decade, the chance of mother-to-child transmission can be reduced to less than 2% [28]. However, only women with known HIV status can receive the appropriate preventive protocol, underscoring the importance of HIV screening during pregnancy and labor. The Centers for Disease Control and Prevention recommends an opt-out policy for HIV screening of all pregnant women through ANC, as such a policy has proven to increase HIV screening rates for pregnant women compared to opt-in strategies [29]. Interestingly, women’s education has been documented as an essential factor in reducing child mortality [30]. This impact starts with ANC seeking and recognizing the importance of screening for HIV in preventing mother-to-child transmission. Our study shows that increasing women’s educational level can increase their probability of being screened for HIV during pregnancy. However, recommendations around this topic would be outside of the scope of our manuscript. Nevertheless, we found a serious deficit in the application of HIV screening during pregnancy by the medical systems in most of the countries we studied. HIV infection may be passed to women from their husbands who might be having extramarital sexual activities [31]. Hence, the importance of screening all pregnant women for HIV irrespective of their marital status should be enforced. It is possible that being married is perceived as a protective factor from HIV infection. However, in three of the studied countries (Honduras, Nicaragua, and El Salvador), heterosexual sex is the predominant mode of HIV transmission [8, 10, 13]. In Mexico and Panama, heterosexual and homosexual sex are equally responsible for HIV transmission [9, 11]. Therefore, no woman should be considered completely free of risk for HIV infection, even if married. Moreover, all countries’ guidelines for HIV screening do not include a separate protocol for married women who may opt-out from screening to avoid prejudice which is not in their, nor in their child’s, best interest.

Economic status is often a barrier or a facilitator to health care access, and Mesoamerican women, in our study, were impeded by their low economic status. The cost of health care services, whether direct, or indirect such transportation cost or travel time, can often be the biggest barrier [32]. When not sick, individuals might opt-out of health care services that are preventive in nature, such as ANC services, and thereafter might not be screened for HIV during pregnancy. On top of that, cultural beliefs are known to play a large role in people’s decision to use health care services or not. However, to reduce child mortality and improve maternal health, prevention should be given first priority, and preventive services should be accessible to everyone who chooses to use them. Hence, it is crucial to educate women, and the public in general, about the importance of HIV screening as a preventive measure for women and their unborn and newly born children.

Mesoamerican countries should consider an array of system improvements to ensure that all pregnant women receive ANC. Health promotion campaigns to increase awareness about maternal health should target the least educated and the poorest women. HSS strategies in Mesoamerica can now focus on two new areas to increase the rate of HIV screening among pregnant women and decrease the probability of mother-to-child transmission: 1) ensuring that every pregnant woman receives at least four ANC visits, and 2) be seen by a nurse or a physician; another option here would be to consider task-shifting where non-professional staff can be trained to apply rapid HIV-screening. To further benefit from ANC services, and reduce the chance for missed opportunities, we recommend screening pregnant women for HIV from the first ANC visit or the first contact with the health system during pregnancy. In countries where ANC is not optimal, countries should design continuous outreach campaigns that ensure that every pregnant woman is connected to care, especially in rural areas. Outreach health workers could either send culturally appropriate reminders about upcoming ANC visits via text message or provide reminders in person for women who do not own a cellular phone. Mobile clinics are another way to reach women in remote areas.


Our study is of great importance to public health in Mesoamerica and the region as it draws attention towards the poorest and least educated women for ANC and HIV screening to ensure an HIV-free generation. If this segment of the population is not reached, it will slow national progress toward HIV-related objectives. Therefore, countries should work together to address these shortages in meeting WHO recommendations both for ANC and HIV screening during pregnancy. Countries with high uptake of these services should maintain their efforts, while countries that are lagging behind should change their strategies to ensure that every woman gets the ANC services she needs to ensure a healthier pregnancy and reduce the risk of HIV transmission to her child. Lessons learned should be shared in order to expedite improvements all over Mesoamerica.

Our study also calls for further investigation to close the gap in uncovering the remaining factors that can ensure an HIV screening of 100% among pregnant women in Mesoamerica. In the near future, we will prospectively assess the improvement resulting from SMI, specifically whether ANC services have improved in general, and if HIV screening during pregnancy has increased.



Ante-natal care


Human immunodeficiency virus


Salud mesoamerica initiative


  1. Lozano R, Gómez-Dantés H, Castro MV, Franco-Marina F, Santos-Preciado JI. Progress on the Millenium development goals 4 and 5 in Mesoamerica. Salud Publica Mex. 2011;53(Suppl 3):S295–302.

    PubMed  Google Scholar 

  2. Franco-Paredes C, Hernández-Ramos I, Santos-Preciado JI, Grupo de Trabajo en Inmunizaciones del Sistema Mesoamericano de Salud Pública. Immunization and equity in the regional initiative of the Mesoamerican health initiative. Salud Publica Mex. 2011;53(Suppl 3):S323–32.

    PubMed  Google Scholar 

  3. Interamerican Development Bank. Mesoamerican health initiative: immunization master plan. 2009.

    Google Scholar 

  4. Mokdad AH, et al. Salud Mesoamérica 2015 initiative: design, implementation, and baseline findings. Popul Health Metr. 2015;13:3.

    Article  PubMed  PubMed Central  Google Scholar 

  5. USAID. Program implementation guidance: essential obstetric and newborn care. 2012.

    Google Scholar 

  6. Bailey H, Cruz MLS, Songtaweesin WN, Puthanakit T. Adolescents with HIV and transition to adult care in the Caribbean, central America and South America, Eastern Europe and Asia and Pacific regions. J Int AIDS Soc. 2017;20:21475.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Institute for Health Metrics and Evaluation. GBD Compare | IHME Viz Hub. 2016. Available at: (Accessed: 8th April 2017).

    Google Scholar 

  8. UNAIDS. Análisis de la situación Honduras 2014. 2014.

    Google Scholar 

  9. UNAIDS. Informe Nacional de Avances en la Respuesta al VIH y el SIDA. 2014.

    Google Scholar 

  10. UNAIDS. Informe Nacional de Progreso en la Luch Contra el Sida. 2014.

    Google Scholar 

  11. UNAIDS. Informe Nacional Sobre Los Progresos Realizados en el Pais. 2014.

    Google Scholar 

  12. UNAIDS. Informe Nacional sobre los Progresos Realizados en la Lucha Contra el VIH y sida. 2014.

    Google Scholar 

  13. UNAIDS. Situación Epidemiológica ITS- VIH y sida. 2014.

    Google Scholar 

  14. UNAIDS. Honduras report NCPI. 2012.

    Google Scholar 

  15. UNAIDS. Mexico Report NCPI. 2012.

    Google Scholar 

  16. UNAIDS. Panama Report NCPI. 2012.

    Google Scholar 

  17. UNAIDS. El Salvador Report NCPI. 2010.

    Google Scholar 

  18. UNAIDS. Guatemala Report NCPI. 2010.

    Google Scholar 

  19. UNAIDS. Nicaragua Report NCPI. 2010.

    Google Scholar 

  20. Teva I, Bermúdez MP, Ramiro MT, Buela-Casal G. Current epidemiological situation of HIV/AIDS in Latin America: analysis of differences among countries. Rev Med Chil. 2012;140:50–8.

    Article  PubMed  Google Scholar 

  21. World Health Organization. Consolidated guidelines on HIV testing services. In: 5cs: consent, confidentiality, counselling, correct results and connection; 2015.

    Google Scholar 

  22. World Health Organization & UNAIDS. HIV/AIDS Programme. Strengthening health services to fight HIV/AIDS. In: Guidance on provider-initiated HIV testing and counselling in health facilities; 2007.

    Google Scholar 

  23. King G, Tomz M, Wittenberg J. Making the most of statistical analyses: improving interpretation and presentation. Am J Polit Sci. 2000;44:341–55.

    Article  Google Scholar 

  24. Aaltonen K, et al. Cost-related barriers to use of health services and prescription medicines in Finland: a cross-sectional survey. Eur J Pub Health. 2015;25:368–72.

    Article  Google Scholar 

  25. Jensen E, Stewart J. Health facility characteristics and the decision to seek care. J Dev Stud. 2003;40:79–100.

    Article  Google Scholar 

  26. Jha AK, Orav EJ, Zheng J, Epstein AM. The characteristics and performance of hospitals that care for elderly Hispanic Americans. Health Aff Proj Hope. 2008;27:528–37.

    Article  Google Scholar 

  27. Branson BM, et al. Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings. MMWR Recomm Rep Morb Mortal Wkly Rep Recomm Rep. 2006;55:1–17; quiz CE1–4.

    Google Scholar 

  28. Opt-Out| Pregnant Women, Infants, and Children | Gender | HIV by Group | HIV/AIDS | CDC. 2017. Available at: (Accessed: 26th December 2017).

  29. Breese P, Burman W, Shlay J, Guinn D. The effectiveness of a verbal opt-out system for human immunodeficiency virus screening during pregnancy. Obstet Gynecol. 2004;104:134–7.

    Article  PubMed  Google Scholar 

  30. Gakidou E, Cowling K, Lozano R, Murray CJL. Increased educational attainment and its effect on child mortality in 175 countries between 1970 and 2009: a systematic analysis. Lancet Lond Engl. 2010;376:959–74.

    Article  Google Scholar 

  31. Dunkle KL, et al. New heterosexually transmitted HIV infections in married or cohabiting couples in urban Zambia and Rwanda: an analysis of survey and clinical data. Lancet Lond Engl. 2008;371:2183–91.

    Article  Google Scholar 

  32. Latigo, M. Health Facility Characteristics Affecting the Early Adoption of Malaria Rapid Tests in Rwanda, Tanzania, and Uganda. DHS Working Papers No. 72. Calverton: ICF Macro; 2010.

Download references


We thank all the children and families who willingly participated in the study. We thank the central and local governments for the support they extended to the study teams and their facilitation of access to communities and health facilities. We thank all the agencies, teams, and supervisors who conducted data collection, including El Colegio de la Frontera Sur-Mexico, the Centre for Research and Health Studies at the National Autonomous University of Nicaragua (CIES-UNAN), UNIMER, Fundación FES, the National Institute of Public Health of Mexico, the University of Belize, and the University of Costa Rica.


This study was funded by the Bill & Melinda Gates Foundation, the Spanish Agency for International Development Cooperation, and the Carlos Slim Health Institute, through the Inter-American Development Bank.

Availability of data and materials

The datasets analyzed for this study are not yet publicly available due to data sharing agreements with the Inter-American Development Bank (IDB) but are available from the corresponding author on reasonable request and with permission of IDB.

Author information

Authors and Affiliations



All authors have contributed to the conception and design, or acquisition of data, or analysis and interpretation of data; AND 2) have been involved in drafting the manuscript or revising it critically for important intellectual content; AND 3) have given final approval of the version to be published.

Corresponding author

Correspondence to Charbel El Bcheraoui.

Ethics declarations

Competing interest

Authors declare that no competing interests exist.

Ethics approval and consent to participate

The study received institutional review board approval from the University of Washington, partnering data collection agencies, and the Ministry of Health in each country. Participants were asked to sign a written consent form prior to taking part in the study.

Consent for publication

Not applicable.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

El Bcheraoui, C., Zúñiga-Brenes, P., Ríos-Zertuche, D. et al. Health system strategies to increase HIV screening among pregnant women in Mesoamerica. Popul Health Metrics 16, 5 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: