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Implementation and Operational Research: Effect of Integration of HIV Care and Treatment Into Antenatal Care Clinics on Mother-to-Child HIV Transmission and Maternal Outcomes in Nyanza, Kenya Results From the SHAIP Cluster Randomized Controlled Trial

Washington, Sierra MD, MSc*; Owuor, Kevin MSc; Turan, Janet M. PhD, MPH; Steinfeld, Rachel L. MHS§; Onono, Maricianah MBChB, MSc; Shade, Starley B. MPH, PhD; Bukusi, Elizabeth A. MBChB, MMed, MPH, PhD†,§; Ackers, Marta L. MD; Cohen, Craig R. MD, MPH§

JAIDS Journal of Acquired Immune Deficiency Syndromes: August 15th, 2015 - Volume 69 - Issue 5 - p e164–e171
doi: 10.1097/QAI.0000000000000656
Epidemiology and Prevention

Background: Many HIV-infected pregnant women identified during antenatal care (ANC) do not enroll in long-term HIV care, resulting in deterioration of maternal health and continued risk of HIV transmission to infants.

Methods: We performed a cluster randomized trial to evaluate the effect of integrating HIV care into ANC clinics in rural Kenya. Twelve facilities were randomized to provide either integrated services (ANC, prevention of mother-to-child transmission, and HIV care delivered in the ANC clinic; n = 6 intervention facilities) or standard ANC services (including prevention of mother-to-child transmission and referral to a separate clinic for HIV care; n = 6 control facilities).

Results: There were high patient attrition rates over the course of this study. Among study participants who enrolled in HIV care, there was 12-month follow-up data for 256 of 611 (41.8%) women and postpartum data for only 325 of 1172 (28%) women. By 9 months of age, 382 of 568 (67.3%) infants at intervention sites and 338 of 594 (57.0%) at control sites had tested for HIV [odds ratio (OR) 1.45, 95% confidence interval (CI): 0.71 to 2.82]; 7.3% of infants tested HIV positive at intervention sites compared with 8.0% of infants at control sites (OR 0.89, 95% CI: 0.56 to 1.43). The composite clinical/immunologic progression into AIDS was similar in both arms (4.9% vs. 5.1%, OR 0.83, 95% CI: 0.41 to 1.68).

Conclusions: Despite the provision of integrated services, patient attrition was substantial in both arms, suggesting barriers beyond lack of service integration. Integration of HIV services into the ANC clinic was not associated with a reduced risk of HIV transmission to infants and did not appear to affect short-term maternal health outcomes.

Supplemental Digital Content is Available in the Text.

*Department of Obstetrics and Gynecology, Albert Einstein College of Medicine, New York, NY;

Centre for Microbiology Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya;

Department of Health Care Organization and Policy, School of Public Health, University of Alabama at Birmingham (UAB), Birmingham, AL;

Departments of §Obstetrics, Gynecology, and Reproductive Sciences;

Medicine, University of California, San Francisco (UCSF), San Francisco, CA; and

US Centers for Disease Control and Prevention (CDC), Center for Global Health (CGH), Division of Global HIV/AIDS (DGHA), Atlanta, GA.

Correspondence to: Sierra Washington, MD, MSc, Department of Obstetrics and Gynecology, Albert Einstein School of Medicine, New York, NY 10461 (e-mail:

Supported as a Public Health Evaluation by the President's Emergency Plan for AIDS Relief (PEPFAR)/US Centers for Disease Control and Prevention (CDC). The study was funded under the CDC cooperative agreement number 5U2GPS001913-02. The manuscript has received CDC clearance for journal submission. J.M.T. was partially supported by award number K01MH081777 from the US National Institute of Mental Health.

Meetings at which parts of the data were presented at Integration for Impact, Reproductive Health and HIV Services in sub-Saharan Africa, September 12–14, 2012, Nairobi, Kenya, and Seventh IAS Conference on HIV Pathogenesis, Treatment and Prevention (IAS 2013), 30 June–3 July 2013, Kuala Lumpur, Malaysia.

The authors have no conflicts of interest to disclose.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Received August 08, 2014

Accepted March 27, 2015

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The elimination of mother-to-child transmission of HIV (eMTCT) is a top public health priority in sub-Saharan Africa.1–4 To successfully eliminate vertical transmission and to improve maternal health outcomes, all HIV-infected women of childbearing age need to be identified through routine HIV testing. However, once identified, HIV-infected pregnant women need to navigate a cascade of services5,6 including continued attendance at antenatal care (ANC) clinics, enrollment in HIV care, laboratory testing for CD4 count, antiretroviral therapy for the prevention of mother-to-child transmission of HIV (MTCT) throughout pregnancy, labor and delivery, and breastfeeding, life-long highly active antiretroviral therapy (HAART) for those meeting criteria, and HIV testing for HIV-exposed infants. Although MTCT has been reduced to <2% in high-income countries,7 MTCT rates remain high in most sub-Saharan African countries,8 partially because women and infants fall out of the cascade at different steps, reducing the effectiveness of the interventions.5,6,9,10

In Kenya, the majority of pregnant women undergo routine HIV testing as part of antenatal care, HIV-seropositive women are given PMTCT interventions during antenatal care, and are then referred to a separate clinic for enrollment in long-term HIV care and treatment.11,12 In some settings, a pregnant woman diagnosed with HIV will receive care in 2 clinic locations, she will require twice the visits, wait in twice the queues, and have twice the number of visits to laboratory or pharmacy. Conversely, women who are established patients in HIV clinics may not be routinely evaluated for pregnancy. If a pregnancy is incidentally identified, patients are referred to ANC clinics for the duration of their pregnancy and will continue care in 2 venues.

Family Aids Care and Education Services (FACES) is a US Centers for Disease Control funded collaboration between the Kenya Medical Research Institute and the University of California San Francisco, which supports the Kenyan Ministry of Health to provide HIV care, treatment, and prevention services in Nyanza Province, Kenya.13 Over time, FACES program managers and national policy makers in Kenya began to recognize the missed opportunities and inefficiencies in the vertical systems of care that separate ANC, PMTCT, and HIV treatment services. In 2005, FACES program managers hypothesized that integrating ANC and HIV treatment services for pregnant women in a single clinic with a single provider would result in faster initiation of HAART for eligible women and infants, improved maternal health outcomes, and reduced MTCT of HIV.

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Study Design

This study is a cluster randomized trial to evaluate the maternal and infant effects of integrating ANC, PMTCT, and HIV care and treatment services. Twelve clinics in Nyanza Province, Kenya, were randomized to provide integrated care (intervention arm) that included ANC, PMTCT, and HIV care and treatment in the same clinic or standard of care (control arm) that included ANC, PMTCT, and referral for HIV care. All study sites were government health facilities that provided ANC, PMTCT, and HIV services with ≥20 new ANC clients per month. Facilities were stratified as “Health Center/Dispensary” (n = 8) or “Hospital” (n = 4) and randomly allocated 1:1 within strata to provide integrated or nonintegrated services using ACluster software. The study enrolled HIV-positive pregnant women 18 years and older, not previously enrolled in HIV care, from June 2009 until March 2011 and followed each mother for 1 year after enrollment. Infants were followed until nine months after delivery. Although providers and patients could not be blinded, study investigators were blinded to study outcomes until the study was completed. A complete description of the study design and methods has been published previously.14

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Study Intervention

At intervention sites, ANC providers conducted combined ANC, PMTCT, and HIV care visits including enrollment in HIV care, management of HIV disease, management of opportunistic infections, and HAART if eligible. The same clinician provided all antenatal and postpartum services including early infant diagnosis until a definitive pediatric HIV diagnosis was obtained or the child reached 18 months of age. At this time, the woman and infant, if HIV infected, were referred for long-term care to the facility's HIV clinic.

At control sites, routine ANC and PMTCT services were provided in the ANC as per National Guidelines. Once diagnosed, HIV-infected women were encouraged to coenroll in the facility's separate HIV clinic and provided a referral form to facilitate enrollment. Women presented separately at these clinics, and HIV clinic providers handled HIV enrollment, management of opportunistic infections, and management of HIV disease, including HAART if eligible.

Clinicians at each site received a week-long training and on-the-job mentorship with periodic refresher trainings on ANC, PMTCT, and HIV treatment, as well as instruction on clinic logistics to improve service utilization for both models. ANC nurses at intervention sites received additional training on HIV care and treatment including appropriate disease monitoring, treatment of opportunistic infections, prescription of ARVs, and management of patients on HAART.

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National PMTCT and HIV Treatment Protocols

ANC, PMTCT, and HIV services offered at each site followed Kenyan National Guidelines in both study arms, with the only difference being the clinic location and the provider of HIV care and treatment services for pregnant and postpartum women (ANC clinic vs. the HIV clinic). National PMTCT protocols mandated that all HIV-positive women should receive ARVs for PMTCT, and that a combination of WHO clinical staging and CD4 testing was used to determine HAART eligibility. Over the course of the study design and implementation, the national PMTCT guidelines changed substantially. From 2007 until 2010, the National Guidelines recommended maternal zidovudine from 28-week gestation, a single dose of nevirapine for the mother during labor and for the infant within 72 hours of birth. In 2010, the PMTCT guidelines changed to begin maternal zidovudine from 14-week gestation and added maternal lamivudine and zidovudine for 1 week in the postpartum period.15 Infant prophylaxis regimens also changed in 2010 from single-dose nevirapine with 4 weeks of zidovudine syrup to nevirapine monotherapy until cessation of breastfeeding15 (see Table, Supplemental Digital Content,

National Guidelines for HIV treatment recommended HAART initiation for HIV-infected pregnant women at WHO clinical stage III or IV regardless of CD4 count or WHO clinical stage I or II with a CD4 count ≤350 per cubic millimeter throughout the study period. According to National Guidelines, women were to receive WHO staging with CD4 testing at baseline and every 6 months thereafter. Adherence to HIV medications and ARVs was assessed by patient self-report on history during HIV follow-up visits (for women on HAART) or at postpartum visits (for women not on HAART).

As part of the HIV care and treatment services, substantial attempts were made to find patients who missed appointments for HIV follow-up. A patient was defined as a “defaulter” once he/she had missed 1 visit. Defaulter tracing efforts included phone calls and home visits by community health assistants. A patient was defined as “lost-to-follow-up” if he/she missed at least 1 visit, 3 phone calls had been made, and 2 home visits were conducted at least 2 weeks apart in attempt to ask the patient to return to clinic. If infants had not come for HIV testing by 6 months of age, then the defaulter tracing program was also activated to find untested infants.

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Study Objectives and Outcomes

The overall study objective was to assess the impact of integrating PMTCT and HIV care and treatment in the ANC setting on HIV vertical transmission, maternal HIV treatment, infant HIV testing, patient enrollment, retention, adherence, and provider job satisfaction. The primary outcome for the study was vertical transmission of HIV. The secondary outcomes were mean change in maternal CD4 and WHO stage up to 1 year after enrollment, infant HIV testing uptake, HIV care enrollment rates, measures of patient retention, and adherence to HIV care compared between intervention and control sites. This article focuses the primary outcomes. PMTCT service utilization, HIV care enrollment, and adherence outcomes are presented elsewhere in this same issue by Turan et al. Patient and provider satisfaction results were presented elsewhere by Vo et al.16

Specifically, the outcomes evaluated in this analysis were change in maternal CD4 count from baseline to study closure, progression of WHO stage from baseline to study closure, composite clinical and immunological progression (WHO stage and CD4 count) from baseline until study closure, as well as ARV use, and time to HAART initiation. Infant outcomes evaluated in this analysis were uptake of infant HIV testing, HIV incidence at 6 weeks and at study closure (approximately 9 months of age), and HIV-free survival of infants at study closure.

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Power Calculations and Sample Size

The SHAIP trial was powered to detect differences in vertical transmission rates. Power calculations for the trial were based on estimated differences in MTCT rates in the 2 study arms, accounting for stratification, based on previously published transmission rates using similar protocols for reference.14,17,18 With a sample size of 12 clusters, 591 HIV-positive women per study arm and an average of 98 HIV-positive women per health facility, we calculated that we would have 80% power to be able to detect a minimum odds ratio (OR) of 2.02 for vertical transmission, assuming an intracluster correlation coefficient of 0.01.

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Data Collection and Data Monitoring Methods

Health facility staff members entered all patients' sociodemographic and clinical data on paper encounter forms and registers as part of routine clinic care services. Data from paper records were entered into an electronic database, which uses the Open Medical Record System (OpenMRS®) platform. Study staff extracted data from the Open Medical Record System for each SHAIP participant until 12 months after study enrollment. Internal data quality monitoring was conducted monthly by the study team, and external data quality monitors conducted data quality monitoring semiannually. Implementation fidelity was ensured through a mid-term integration assessment. The assessment demonstrated the integration scores of the facilities matched their study assignment with some variations based on the availability of resources.19

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Statistical Analysis

Statistical analysis was conducted using an intention-to-treat approach with all analyses adjusted for clustering of data within clinics. The comparison of the baseline characteristics in the intervention and control sites was done using cluster-adjusted χ2 and t tests. Logistic regression within a generalized estimating equations framework was used to analyze the dependent binary outcomes across the study arms, reporting the OR and respective 95% confidence intervals (CI). Time-to-event outcomes were analyzed using cluster-adjusted proportional Hazards Cox regression reporting hazard ratios (HR) and respective 95% CI.

Missing data due to patient attrition relative to the measurement of specific outcomes was a significant issue in this study because the study relied on routine health facility visits and program data. This especially affected analysis of postnatal outcomes and early infant diagnosis. We used 2 methods to deal with missing data. We used inverse probability of censoring weighting (IPCW) to account for potential bias associated with missing outcome data and modeled the probability of remaining in the sample [P(c)] based on calendar time and maternal characteristics at baseline. Data were weighted [1/P(c)] so that the distribution of maternal characteristics was similar to the observed data at baseline. Additional variables with substantial missing data included dates of birth for infants and dates of death for infants who died. To estimate these dates, we relied on existing baseline data on the woman's estimated date of delivery on the study enrollment forms. For infant death, an estimate of the date of death was made based on the fact that the majority of infant deaths occur during the first month of life. Thus, we estimated the date of death at 1 month after the infant's date of birth (or the estimated date of delivery if date of birth was not available). Statistical analyses were conducted using Stata 12 for baseline, time to event, and initial bivariate analyses, and SAS 9.3 for IPCW analyses.

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Ethical Approvals

This study was approved by the Committee on Human Research at the University of California San Francisco, the Ethical Review Committee at Kenya Medical Research Institute, and by the US Centers for Disease Control and Prevention. All women participating in the study gave written informed consent for the use of their deidentified data in the study. Participation in the study did not require additional research activities beyond women's regular ANC and HIV care.

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A total of 1172 pregnant women were enrolled in this study across 12 study facilities. The total catchment population in each arm of the study was similar, and facility types were balanced in each arm in terms of size, level of care, and staffing, as described in our previous publication.14 Baseline characteristics of the women were not statistically different between participants enrolled at intervention and control sites (Table 1).



This study had significant attrition of both mothers and infants (Fig. 1). All 1172 participants had baseline data collected. Among study participants who enrolled in HIV care, there was 6-month follow-up data for 313 of 611 (51.1%) women, 12-month follow-up data for 256 of 611 (41.8%) women, and postpartum data for only 325 of 1172 (28%) of all women. Long-term follow-up data are not available for study participants who did not enroll in HIV care. Postnatal patient records were only available for a small number of study participants due to a variety of factors including women not returning to the clinic after delivery, incorrect contact addresses limiting tracing efforts, and incomplete reporting by clinicians. Differences in baseline characteristics of women who were lost to follow-up and women who remained in the study did not reach statistical significance in any parameter compared (data not shown).



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At baseline, 528 of 569 (92.8%) women received ARVs from the provider in the intervention clinics compared with 581 of 603 (96.4%) women at control clinics (OR 0.53, 95% CI: 0.28 to 1.02). However, among the subgroup of women with data on self-reported ARV adherence (including women on HAART) collected at the postpartum visit (n = 329), the proportion of women who reported completing the national PMTCT protocol and swallowed ARVs for PMTCT across the antepartum, intrapartum, and postpartum periods was very low in both arms and not significantly different in intervention [37/176 (21%)] vs. control clinics [23/153 (15%)] (OR 1.72, 95% CI: 0.85 to 3.48). In this same subgroup, the proportion of women who had reported swallowing only intrapartum and postpartum ARVs (incomplete PMTCT intervention) was lower in intervention [19/176 (11%)] compared with control sites [60/153 (40%)] although this difference was not statistically significant (OR 0.39, 95% CI: 0.11 to 1.36). Despite dispensing ARVs to a high proportion of women, 184 of 476 (39%) women reported after delivery (either at a postpartum visit or HIV follow-up visit) that they had not swallowed any ARVs for PMTCT or HAART at any point during the study period (either antepartum, intrapartum, or postpartum); the proportion was not associated with study arm (OR 0.934, 95% CI: 0.42 to 2.06).

Among women who were eligible for HAART, only 88 of 239 (37%) women initiated HAART during pregnancy (defined as women who received at least 2 weeks of HAART before delivery), more initiated at intervention sites [66/143 (46%)] compared with control sites [22/96 (23%)] (OR 2.37, 95% CI: 1.06 to 5.27). In addition, the median time to HAART initiation, among eligible women, was shorter in the intervention arm [125 days (interquartile range 35–273)] compared with the control arm [185 days (interquartile range 83–316)] (HR = 2.74, 95% CI: 1.56 to 4.80) (Fig. 2).



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Maternal Health Outcomes

The maternal outcomes evaluated included changes in clinical and immunologic status between intervention and control sites. However, we only had both baseline and follow-up absolute CD4 count on 216 of 1172 (18.4%) and WHO staging for both baseline and follow-up on 315 of 1172 (26.9%) of women. Among these women, we did not find significant differences between study arms in change in CD4 count, progression to WHO stage 3 or 4 disease, or in combined clinical/immunologic progression to AIDS from baseline to study close (Table 2).



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Infant Outcomes

There was a high loss-to-follow-up rate of infants in both arms, and as a result, there were low levels of infant testing in both study arms. At 6 weeks, more infants had undergone PCR testing in the intervention compared with control sites [43/568 (25%) vs. 106/594 (18%)] (OR 1.57, 95% CI: 0.61 to 4.07). By the end of the study, a slightly greater proportion of HIV-exposed infants had undergone HIV testing at intervention sites [382/568 (67.3%)] compared with control sites [338/594 (57.0%)] (OR 1.45, 95% CI: 0.71 to 2.82); however, these trends did not reach statistical significance.

Infant HIV-infection by 6 weeks of life (4.2% in intervention sites vs. 6.6% in control sites, OR 0.62, 95% CI: 0.20 to 1.90) and at the end of follow-up at 9 months (7.3% in intervention sites vs. 8% in control sites, OR 0.89, 95% CI: 0.56 to 1.43) did not differ by study arm (Table 3). We performed a sensitivity analysis to account for the substantial amount of missing infant HIV testing data due to low uptake of early infant diagnosis at the clinics. After adjusting for missing data, the odds of infant infection at 6 weeks and at 9 months showed similar odds as those obtained from the unadjusted analysis. Overall infant mortality rates and HIV-free survival did not differ significantly by study arm (see Figures S3 and S4, Supplemental Digital Content,



Multivariable analyses examining the impact of censoring showed that adjustment for loss-to-follow-up did not significantly change the results. IPCW results were of similar direction, magnitude, and statistical significance to the initial analytical results for variables that had substantial missing data due to loss-to-follow-up including infant feeding method and infant HIV testing uptake. These results are presented in Table 3.

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To our knowledge, this study represents the first cluster randomized controlled trial with the specific aim to evaluate integrated ANC and HIV treatment for HIV-infected pregnant women in sub-Saharan Africa. Currently, public health officials are looking for strategies to eliminate vertical transmission of HIV and, despite a lack of compelling data, integration of care has been proposed as a key strategy in the fight for eMTCT.1,4,20–22

This article focuses on the infant transmission outcomes and maternal health outcomes associated with full integration of ANC, PMTCT, and HIV care. A separate article published in this issue demonstrated that integration was associated with improved uptake of some key services along the PMTCT cascade.23 In addition, we have previously found a high degree of both patient and provider acceptability with integration and indications that providers prefer an integrated model of care in the ANC.16,24

In this study, more than 90% of women were given ARVs at their first visit; however, among women who came for postpartum visits, there were a substantial proportion of women (39%) who self-reported not taking ARVs. This suggests that there may still be substantial adherence barriers that have not been explained in this study.

Although the time to initiation of HAART among eligible pregnant women was shorter at intervention compared with control sites, based on the median time to HAART initiation (125 days) and the mean gestational age at enrollment (26 weeks), assuming a 40-week gestational period, it seems that most women in both arms did not start HAART until the postpartum period. In addition, we did not find a statistically significant difference in vertical HIV transmission between study arms. Approximately, half of women in Kenya, like many countries in the region, begin prenatal care in the third trimester of pregnancy.25 Therefore, although some women were eligible to start HAART during pregnancy as per WHO and Kenyan National guidelines, most women did not initiate HAART until postpartum. This represents an enormous missed opportunity to further decrease MTCT by using more effective regimens for sicker patients. Delay in HAART initiation may have been due to the need to draw baseline laboratories, including CD4 testing before HAART initiation, which can create significant delays in a rural setting where laboratory specimens must travel to a central laboratory for processing. (In study facilities, CD4 results took approximately 1 month to return to facility). The delay in HAART initiation may have also been due to the clinical requirements for patients to undergo 3 adherence counseling sessions before HAART initiation, which may also represent an undue visit burden on patients. The lengthy time to HAART initiation in both study arms and the lack of difference in infant transmission rates between study arms may serve as indirect evidence to support a more streamlined approach to HAART initiation during pregnancy, whereby women who are diagnosed with HIV during pregnancy are started at the same visit on HAART without laboratory investigations (a strategy know as WHO option B+).26 However, to implement option B+ as a significant increase in staff, clinical tools, adherence support, and community follow-up systems will need to be in place to adequately follow the increased numbers of patients on HAART.

In addition, this study may have failed to show a difference in vertical transmission due to a rapidly changing health policy environment regarding PMTCT. Over the course of the study, national PMTCT protocols changed, which may have biased the results towards the null given that both intervention and control arms offered more effective PMTCT drug regimens during the latter half of the study.15 Improved PMTCT drug regimens are associated with decreased transmission rates7 and thus our study, although initially adequately powered to detect a difference in transmission, may have become underpowered as national PMTCT regimens improved in Kenya.

This study also did not demonstrate any difference in maternal health outcomes over the course of the study period. This is likely due to the short follow-up period of 1 year and the amount of missing data in both study arms. Given the healthy state and relatively high CD4 counts at enrollment in both arms, it was unlikely that any clinically significant differences in maternal morbidity or mortality could be demonstrated over such a short time period.

This study used patient data from a public HIV treatment program and the results inherently include all of the challenges and pitfalls of program implementation in a rural African setting. The challenges included training and retaining providers, incomplete record keeping, missing data, and problems with data quality. Other challenges included assuring that patients received care per national PMTCT protocols and challenges in patient follow-up and retention in care. This study suffers from a high loss-to-follow-up rate (25%–30%) in both arms. Although the data are imperfect, which is a major study weakness, they are also reflective of the real-world setting of programs in rural Africa and thus may have wider reaching validity and generalizability for program managers and implementers than that of a controlled clinical trial setting. As greater investments to health care systems and improvements to medical records systems are made in public health facilities, using patient records from public programs for research may become more feasible.

Despite limited evidence,20,22 integration of ANC, PMTCT, and HIV services has been promoted by the WHO and Ministries of Health across much of sub-Saharan Africa as a strategy to help achieve the elimination of MTCT.4,27–33 In 2009, the NIH Office of AIDS Research identified as a top priority research on how to promote women's linkage to and retention in care at each step of the PMTCT cascade.34 This study demonstrates that although we are able to enroll more women in HIV care through integration, integration alone does not necessarily translate to improved maternal health outcomes or decreased rates of MTCT of HIV as compared with nonintegrated services. If anything, this study implies that integration may be necessary, but is not sufficient, to achieve eMTCT, and more streamlined approaches to encourage rapid HAART initiation for all pregnant women should be developed, implemented, and rigorously evaluated.

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The Investigator team would like to acknowledge all the Family AIDS Care and Education Services (FACES) staff, the SHAIP study staff, and Kenyan Ministries of Health staff from Migori, Rongo, and Nyatike Districts who participated in the care of women without whom the study would not have been possible. In addition, they would like to acknowledge the Director of KEMRI for permission to publish this article.

The authors thank the Kenyan women who participated in the study. They acknowledge the important logistical support of the KEMRI-UCSF Collaborative Group and especially Family AIDS Care and Education Services (FACES). They gratefully acknowledge the Director of KEMRI, the Director of KEMRI's Centre for Microbiology, and the Kenyan Ministry of Health for their support in conducting this research. They also thank John Oguda, Peter Manwari, George O'chieng, Pheobe Anyango, Kevin Owuor, Cinthia Blat, Jayne Kulzer, Nicole Schmidt, Katie Schwartz, Lisa Dillabaugh, Benard Otieno, and Evelyn Interis for their important contributions to this research. The project described was supported as a Public Health Evaluation by the President's Emergency Plan for AIDS Relief (PEPFAR)/Centers for Disease Control and Prevention (CDC).

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HIV/AIDS; prevention of mother-to-child transmission; service integration; cluster randomized controlled trial; Africa

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