BACKGROUND: The COVID-19 pandemic adversely disrupted global health service delivery. We aimed to assess impact of the pandemic on same-day HIV diagnosis/ART initiation, six-months non-retention and initial virologic non-suppression (VnS) among individuals starting antiretroviral therapy (ART) in Kenya. METHODS: Individual-level longitudinal service delivery data were analysed. Random sampling of individuals aged >15 years starting ART between April 2018 -March 2021 was done. Date of ART initiation was stratified into pre-COVID-19 (April 2018 -March 2019 and April 2019 -March 2020) and COVID-19 (April 2020 -March 2021) periods. Mixed effects generalised linear, survival and logistic regression models were used to determine the effect of COVID-19 pandemic on same-day HIV diagnosis/ART initiation, six-months non-retention and VnS, respectively. RESULTS: Of 7,046 individuals sampled, 35.5%, 36.0% and 28.4% started ART during April 2018 -March 2019, April 2019 -March 2020 and April 2020 -March 2021, respectively. Compared to the pre-COVID-19 period, the COVID-19 period had higher same-day HIV diagnosis/ART initiation (adjusted risk ratio [95% CI]: 1.09 [1.04-1.13], p<0.001) and lower six-months non-retention (adjusted hazard ratio [95% CI]: 0.66 [0.58-0.74], p<0.001). Of those sampled, 3,296 (46.8%) had a viral load test done at a median 6.2 (IQR, 5.3-7.3) months after ART initiation. Compared to the pre-COVID-19 period, there was no significant difference in VnS during the COVID-19 period (adjusted odds ratio [95% CI]: 0.79 [95%% CI: 0.52-1.20], p = 0.264). CONCLUSIONS: In the short term, the COVID-19 pandemic did not have an adverse impact on HIV care and treatment outcomes in Kenya. Timely, strategic and sustained COVID-19 response may have played a critical role in mitigating adverse effects of the pandemic and point towards maturity, versatility and resilience of the HIV program in Kenya. Continued monitoring to assess long-term impact of the COVID-19 pandemic on HIV care and treatment program in Kenya is warranted.

BACKGROUND: Aggregate electronic data repositories and population-level cross-sectional surveys play a critical role in HIV programme monitoring and surveillance for data-driven decision-making. However, these data sources have inherent limitations including inability to respond to public health priorities in real-time and to longitudinally follow up clients for ascertainment of long-term outcomes. Electronic medical records (EMRs) have tremendous potential to bridge these gaps when harnessed into a centralised data repository. We describe the evolution of EMRs and the development of a centralised national data warehouse (NDW) repository. Further, we describe the distribution and representativeness of data from the NDW and explore its potential for population-level surveillance of HIV testing, care and treatment in Kenya. MAIN BODY: Health information systems in Kenya have evolved from simple paper records to web-based EMRs with features that support data transmission to the NDW. The NDW design includes four layers: data warehouse application programming interface (DWAPI), central staging, integration service, and data visualization application. The number of health facilities uploading individual-level data to the NDW increased from 666 in 2016 to 1,516 in 2020, covering 41 of 47 counties in Kenya. By the end of 2020, the NDW hosted longitudinal data from 1,928,458 individuals ever started on antiretroviral therapy (ART). In 2020, there were 936,869 individuals who were active on ART in the NDW, compared to 1,219,276 individuals on ART reported in the aggregate-level Kenya Health Information System (KHIS), suggesting 77% coverage. The proportional distribution of individuals on ART by counties in the NDW was consistent with that from KHIS, suggesting representativeness and generalizability at the population level. CONCLUSION: The NDW presents opportunities for individual-level HIV programme monitoring and surveillance because of its longitudinal design and its ability to respond to public health priorities in real-time. A comparison with estimates from KHIS demonstrates that the NDW has high coverage and that the data maybe representative and generalizable at the population-level. The NDW is therefore a unique and complementary resource for HIV programme monitoring and surveillance with potential to strengthen timely data driven decision-making towards HIV epidemic control in Kenya. DATABASE LINK: ( https://dwh.nascop.org/ ).

BACKGROUND: HIV low-level viremia (LLV) (51-999 copies/mL) can progress to treatment failure and increase potential for drug resistance. We analyzed retrospective longitudinal data from people living with HIV (PLHIV) on antiretroviral therapy (ART) in Kenya to understand LLV prevalence and virologic outcomes. METHODS: We calculated rates of virologic suppression (≤50 copies/mL), LLV (51-999 copies/mL), virologic non-suppression (≥1000 copies/mL), and virologic failure (≥2 consecutive virologic non-suppression results) among PLHIV aged 15 years and older who received at least 24 weeks of ART during 2015-2021. We analyzed risk for virologic non-suppression and virologic failure using time-dependent models (each viral load (VL) <1000 copies/mL used to predict the next VL). FINDINGS: Of 793,902 patients with at least one VL, 18.5% had LLV (51-199 cp/mL 11.1%; 200-399 cp/mL 4.0%; and 400-999 cp/mL 3.4%) and 9.2% had virologic non-suppression at initial result. Among all VLs performed, 26.4% were LLV. Among patients with initial LLV, 13.3% and 2.4% progressed to virologic non-suppression and virologic failure, respectively. Compared to virologic suppression (≤50 copies/mL), LLV was associated with increased risk of virologic non-suppression (adjusted relative risk [aRR] 2.43) and virologic failure (aRR 3.86). Risk of virologic failure increased with LLV range (aRR 2.17 with 51-199 copies/mL, aRR 3.98 with 200-399 copies/mL and aRR 7.99 with 400-999 copies/mL). Compared to patients who never received dolutegravir (DTG), patients who initiated DTG had lower risk of virologic non-suppression (aRR 0.60) and virologic failure (aRR 0.51); similarly, patients who transitioned to DTG had lower risk of virologic non-suppression (aRR 0.58) and virologic failure (aRR 0.35) for the same LLV range. INTERPRETATION: Approximately a quarter of patients experienced LLV and had increased risk of virologic non-suppression and failure. Lowering the threshold to define virologic suppression from <1000 to <50 copies/mL to allow for earlier interventions along with universal uptake of DTG may improve individual and program outcomes and progress towards achieving HIV epidemic control. FUNDING: No specific funding was received for the analysis. HIV program support was provided by the President's Emergency Plan for AIDS Relief (PEPFAR) through the United States Centers for Disease Control and Prevention (CDC).

Kenya's Ministry of Health (MOH) and the US Centers for Disease Control and Prevention in Kenya (CDC Kenya) have maintained a 40-year partnership during which measures were implemented to prevent, detect, and respond to disease threats. During the COVID-19 pandemic, the MOH and CDC Kenya rapidly responded to mitigate disease impact on Kenya's 52 million residents. We describe activities undertaken jointly by the MOH and CDC Kenya that lessened the effects of COVID-19 during 5 epidemic waves from March through December 2021. Activities included establishing national and county-level emergency operations centers and implementing workforce development and deployment, infection prevention and control training, laboratory diagnostic advancement, enhanced surveillance, and information management. The COVID-19 pandemic provided fresh impetus for the government of Kenya to establish a national public health institute, launched in January 2022, to consolidate its public health activities and counter COVID-19 and future infectious, vaccine-preventable, and emerging zoonotic diseases.

Early combination antiretroviral therapy (cART), as recommended in WHO's universal test-and-treat (UTT) policy, is associated with improved linkage to care, retention, and virologic suppression in controlled studies. We aimed to describe UTT uptake and effect on twelve-month non-retention and initial virologic non-suppression (VnS) among HIV infected adults starting cART in routine HIV program in Kenya. Individual-level HIV service delivery data from 38 health facilities, each representing 38 of the 47 counties in Kenya were analysed. Adults (>15 years) initiating cART between the second-half of 2015 (2015HY2) and the first-half of 2018 (2018HY1) were followed up for twelve months. UTT was defined based on time from an HIV diagnosis to cART initiation and was categorized as same-day, 1-14 days, 15-90 days, and 91+ days. Non-retention was defined as individuals lost-to-follow-up or reported dead by the end of the follow up period. Initial VnS was defined based on the first available viral load test with >400 copies/ml. Hierarchical mixed-effects survival and generalised linear regression models were used to assess the effect of UTT on non-retention and VnS, respectively. Of 8592 individuals analysed, majority (n = 5864 [68.2%]) were female. Same-day HIV diagnosis and cART initiation increased from 15.3% (2015HY2) to 52.2% (2018HY1). The overall non-retention rate was 2.8 (95% CI: 2.6-2.9) per 100 person-months. When compared to individuals initiated cART 91+ days after a HIV diagnosis, those initiated cART on the same day of a HIV diagnosis had the highest rate of non-retention (same-day vs. 91+ days; aHR, 1.7 [95% CI: 1.5-2.0], p<0.001). Of those included in the analysis, 5986 (69.6%) had a first viral load test done at a median of 6.3 (IQR, 5.6-7.6) months after cART initiation. Of these, 835 (13.9%) had VnS. There was no association between UTT and VnS (same-day vs. 91+ days; aRR, 1.0 [95% CI: 0.9-1.2], p = 0.664). Our findings demonstrate substantial uptake of the UTT policy but poor twelve-month retention and lack of an association with initial VnS from routine HIV settings in Kenya. These findings warrant consideration for multi-pronged program interventions alongside UTT policy for maximum intended benefits in Kenya.

BACKGROUND: Loss to follow-up (LFTU) among HIV patients remains a major obstacle to achieving treatment goals with the risk of failure to achieve viral suppression and thereby increased HIV transmission. Although use of clinical decision support systems (CDSS) has been shown to improve adherence to HIV clinical guidance, to our knowledge, this is among the first studies conducted to show its effect on LTFU in low-resource settings. METHODS: We analyzed data from a cluster randomized controlled trial in adults and children (aged ≥ 18 months) who were receiving antiretroviral therapy at 20 HIV clinics in western Kenya between Sept 1, 2012 and Jan 31, 2014. Participating clinics were randomly assigned, via block randomization. Clinics in the control arm had electronic health records (EHR) only while the intervention arm had an EHR with CDSS. The study objectives were to assess the effects of a CDSS, implemented as alerts on an EHR system, on: (1) the proportion of patients that were LTFU, (2) LTFU patients traced and successfully linked back to treatment, and (3) time from enrollment on the study to documentation of LTFU. RESULTS: Among 5901 eligible patients receiving ART, 40.6% (n = 2396) were LTFU during the study period. CDSS was associated with lower LTFU among the patients (Adjusted Odds Ratio-aOR 0.70 (95% CI 0.65-0.77)). The proportions of patients linked back to treatment were 25.8% (95% CI 21.5-25.0) and 30.6% (95% CI 27.9-33.4)) in EHR only and EHR with CDSS sites respectively. CDSS was marginally associated with reduced time from enrollment on the study to first documentation of LTFU (adjusted Hazard Ratio-aHR 0.85 (95% CI 0.78-0.92)). CONCLUSION: A CDSS can potentially improve quality of care through reduction and early detection of defaulting and LTFU among HIV patients and their re-engagement in care in a resource-limited country. Future research is needed on how CDSS can best be combined with other interventions to reduce LTFU. Trial registration NCT01634802. Registered at www.clinicaltrials.gov on 12-Jul-2012. Registered prospectively.

Background: The UNAIDS 90-90-90 Fast-Track targets provide a framework for assessing coverage of HIV testing services (HTS) and awareness of HIV status - the "first 90." In Kenya, the bulk of HIV testing targets are aligned to the five highest HIV-burden counties. However, we do not know if most of the new HIV diagnoses are in these five highest-burden counties or elsewhere. Methods: We analyzed facility-level HTS data in Kenya from 1 October 2015 to 30 September 2016 to assess the spatial distribution of newly diagnosed HIV-positives. We used the Moran's Index (Moran's I) to assess global and local spatial auto-correlation of newly diagnosed HIV-positive tests and Kulldorff spatial scan statistics to detect hotspots of newly diagnosed HIV-positive tests. For aggregated data, we used Kruskal-Wallis equality-of-populations non-parametric rank test to compare absolute numbers across classes. Results: Out of 4,021 HTS sites, 3,969 (98.7%) had geocodes available. Most facilities (3,034, 76.4%), were not spatially autocorrelated for the number of newly diagnosed HIV-positives. For the rest, clustering occurred as follows; 438 (11.0%) were HH, 66 (1.7%) HL, 275 (6.9%) LH, and 156 (3.9%) LL. Of the HH sites, 301 (68.7%) were in high HIV-burden counties. Over half of 123 clusters with a significantly high number of newly diagnosed HIV-infected persons, 73(59.3%) were not in the five highest HIV-burden counties. Clusters with a high number of newly diagnosed persons had twice the number of positives per 1,000,000 tests than clusters with lower numbers (29,856 vs. 14,172). Conclusions: Although high HIV-burden counties contain clusters of sites with a high number of newly diagnosed HIV-infected persons, we detected many such clusters in low-burden counties as well. To expand HTS where most needed and reach the "first 90" targets, geospatial analyses and mapping make it easier to identify and describe localized epidemic patterns in a spatially dispersed epidemic like Kenya's, and consequently, reorient and prioritize HTS strategies.

Introduction: Developing countries are increasingly strengthening national health information systems (HIS) for evidence-based decision-making. However, the inability to report indicator data automatically from electronic medical record systems (EMR) hinders this process. Data are often printed and manually re-entered into aggregate reporting systems. This affects data completeness, accuracy, reporting timeliness, and burdens staff who support routine indicator reporting from patient-level data. Method: After conducting a feasibility test to exchange indicator data from Open Medical Records System (OpenMRS) to District Health Information System version 2 (DHIS2), we conducted a field test at a health facility in Kenya. We configured a field-test DHIS2 instance, similar to the Kenya Ministry of Health (MOH) DHIS2, to receive HIV care and treatment indicator data and the KenyaEMR, a customized version of OpenMRS, to generate and transmit the data from a health facility. After training facility staff how to send data using DHIS2 reporting module, we compared completeness, accuracy and timeliness of automated indicator reporting with facility monthly reports manually entered into MOH DHIS2. Results: All 45 data values in the automated reporting process were 100% complete and accurate while in manual entry process, data completeness ranged from 66.7% to 100% and accuracy ranged from 33.3% to 95.6% for seven months (July 2013-January 2014). Manual tally and entry process required at least one person to perform each of the five reporting activities, generating data from EMR and manual entry required at least one person to perform each of the three reporting activities, while automated reporting process had one activity performed by one person. Manual tally and entry observed in October 2013 took 375 minutes. Average time to generate data and manually enter into DHIS2 was over half an hour (M=32.35 mins, SD=0.29) compared to less than a minute for automated submission (M=0.19 mins, SD=0.15). Discussion and Conclusion: The results indicate that indicator data sent electronically from OpenMRS-based EMR at a health facility to DHIS2 improves data completeness, eliminates transcription errors and delays in reporting, and reduces the reporting burden on human resources. This increases availability of quality indicator data using available resources to facilitate monitoring service delivery and measuring progress towards set goals.

Background Variations in the functionality, content and form of electronic medical record systems (EMRs) challenge national roll-out of these systems as part of a national strategy to monitor HIV response. To enforce the EMRs minimum requirements for delivery of quality HIV services, the Kenya Ministry of Health (MoH) developed EMRs standards and guidelines. The standards guided the recommendation of EMRs that met a preset threshold for national roll-out. Methods Using a standards-based checklist, six review teams formed by the MoH EMRs Technical Working Group rated a total of 17 unique EMRs in 28 heath facilities selected by individual owners for their optimal EMR implementation. EMRs with an aggregate score of 60% against checklist criteria were identified by the MoH as suitable for upgrading and rollout to Kenyan public health facilities. Results In Kenya, existing EMRs scored highly in health information and reporting (mean score=71.8%), followed by security, system features, core clinical information, and order entry criteria (mean score=58.1%55.9%), and lowest against clinical decision support (mean score=17.6%) and interoperability criteria (mean score=14.3%). Four EMRs met the 60.0% threshold: OpenMRS, IQ-Care, C-PAD and Funsoft. On the basis of the review, the MoH provided EMRs upgrade plans to owners of all the 17 systems reviewed. Conclusion The standards-based review in Kenya represents an effort to determine level of conformance to the EMRs standards and prioritize EMRs for enhancement and rollout. The results support concentrated use of resources towards development of the four recommended EMRs. Further review should be conducted to determine the effect of the EMR-specific upgrade plans on the other 13 EMRs that participated in the review exercise.

BACKGROUND: Sentinel surveillance for HIV among women attending antenatal clinics using unlinked anonymous testing is a cornerstone of HIV surveillance in sub-Saharan Africa. Increased use of routine antenatal HIV testing allows consideration of using these programmatic data rather than sentinel surveillance data for HIV surveillance. METHODS: To gauge Kenya's readiness to discontinue sentinel surveillance, we evaluated whether recommended World Health Organization standards were fulfilled by conducting data and administrative reviews of antenatal clinics that offered both routine testing and sentinel surveillance in 2010. RESULTS: The proportion of tests that were HIV-positive among women aged 15-49 years was 6.2 % (95 % confidence interval [CI] 4.6-7.7 %] in sentinel surveillance and 6.5 % (95 % CI 5.1-8.0 %) in routine testing. The agreement of HIV test results between sentinel surveillance and routine testing was 98.0 %, but 24.1 % of specimens that tested positive in sentinel surveillance were recorded as negative in routine testing. Data completeness was moderate, with HIV test results recorded for 87.8 % of women who received routine testing. CONCLUSIONS: Additional preparation is required before routine antenatal HIV testing data can supplant sentinel surveillance in Kenya. As the quality of program data has markedly improved since 2010 a repeat evaluation of the use of routine antenatal HIV testing data in lieu of ANC sentinel surveillance is recommended.

We assessed whether quality of maternal and newborn health services is influenced by presence of HIV programs at Kenyan health facilities using data from a national facility survey. Facilities that provided services to prevent mother-to-child HIV transmission had better prenatal and postnatal care inputs, such as infrastructure and supplies, and those providing antiretroviral therapy had better quality of prenatal and postnatal care processes. HIV-related programs may have benefits for quality of care for related services in the health system.

BACKGROUND AND OBJECTIVE: There is little evidence that electronic medical record (EMR) use is associated with better compliance with clinical guidelines on initiation of antiretroviral therapy (ART) among ART-eligible HIV patients. We assessed the effect of transitioning from paper-based to an EMR-based system on appropriate placement on ART among eligible patients. METHODS: We conducted a retrospective, pre-post EMR study among patients enrolled in HIV care and eligible for ART at 17 rural Kenyan clinics and compared the: (1) proportion of patients eligible for ART based on CD4 count or WHO staging who initiate therapy; (2) time from eligibility for ART to ART initiation; (3) time from ART initiation to first CD4 test. RESULTS: 7298 patients were eligible for ART; 54.8% (n=3998) were enrolled in HIV care using a paper-based system while 45.2% (n=3300) were enrolled after the implementation of the EMR. EMR was independently associated with a 22% increase in the odds of initiating ART among eligible patients (adjusted OR (aOR) 1.22, 95% CI 1.12 to 1.33). The proportion of ART-eligible patients not receiving ART was 20.3% and 15.1% for paper and EMR, respectively (chi2=33.5, p<0.01). Median time from ART eligibility to ART initiation was 29.1 days (IQR: 14.1-62.1) for paper compared to 27 days (IQR: 12.9-50.1) for EMR. CONCLUSIONS: EMRs can improve quality of HIV care through appropriate placement of ART-eligible patients on treatment in resource limited settings. However, other non-EMR factors influence timely initiation of ART.

BACKGROUND: Cross-sectional population-based surveys are essential surveillance tools for tracking changes in HIV epidemics. In 2007, Kenya implemented the first AIDS Indicator Survey [Kenya AIDS Indicator Survey (KAIS) 2007], a nationally representative, population-based survey that collected demographic and behavioral data and blood specimens from individuals aged 15-64 years. Kenya's second AIDS Indicator Survey (KAIS 2012) was conducted to monitor changes in the epidemic, evaluate HIV prevention, care, and treatment initiatives, and plan for an efficient and effective response to the HIV epidemic. METHODS: KAIS 2012 was a cross-sectional 2-stage cluster sampling design, household-based HIV serologic survey that collected information on households as well as demographic and behavioral data from Kenyans aged 18 months to 64 years. Participants also provided blood samples for HIV serology and other related tests at the National HIV Reference Laboratory. RESULTS: Among 9300 households sampled, 9189 (98.8%) were eligible for the survey. Of the eligible households, 8035 (87.4%) completed household-level questionnaires. Of 16,383 eligible individuals aged 15-64 years and emancipated minors aged less than 15 years in these households, 13,720 (83.7%) completed interviews; 11,626 (84.7%) of the interviewees provided a blood specimen. Of 6302 eligible children aged 18 months to 14 years, 4340 (68.9%) provided a blood specimen. Of the 2094 eligible children aged 10-14 years, 1661 (79.3%) completed interviews. CONCLUSIONS: KAIS 2012 provided representative data to inform a strategic response to the HIV epidemic in the country.

BACKGROUND: In 2007, 29% of HIV-infected Kenyans in need of antiretroviral therapy (ART), based on an immunologic criterion of CD4 ≤350 cells per microliter, were receiving ART. Since then, substantial treatment scale-up has occurred in the country. We analyzed data from the second Kenya AIDS Indicator Survey (KAIS 2012) to assess progress of treatment scale-up in Kenya. METHODS: KAIS 2012 was a nationally representative survey of persons aged 18 months to 64 years that collected information on HIV status, care, and treatment. ART eligibility was defined based on 2 standards: (1) 2011 Kenya eligibility criteria for ART initiation: CD4 ≤350 cells per microliter or co-infection with active tuberculosis and (2) 2013 World Health Organization (WHO) eligibility criteria for ART initiation: CD4 ≤500 cells per microliter, co-infection with active tuberculosis, currently pregnant or breastfeeding, and infected partners in serodiscordant relationships. Blood specimens were tested for HIV antibodies and HIV-positive specimens tested for CD4 cell counts. RESULTS: Among 13,720 adults and adolescents aged 15-64 years, 11,626 provided a blood sample, and 648 were HIV infected. Overall, 58.8% [95% confidence interval (CI): 52.0 to 65.5) were eligible for treatment using the 2011 Kenya eligibility criteria and 77.4% (95% CI: 72.4 to 82.4) using the 2013 WHO eligibility criteria. Coverage of ART was 60.5% (95% CI: 50.8 to 70.2) using the 2011 Kenya eligibility criteria and 45.9% (95% CI: 37.7 to 54.2) using the 2013 WHO eligibility criteria. CONCLUSIONS: ART coverage has increased from 29% in 2007 to 61% in 2012. If Kenya adopts the 2013 WHO guidelines for ART initiation, need for ART increases by an additional 19 percentage points and current coverage decreases by an additional 15 percentage points, representing an additional 214,000 persons who will need to be reached.

BACKGROUND: HIV testing and counseling (HTC) is essential for successful HIV prevention and treatment programs. The national target for HTC is 80% of the adult population in Kenya. Population-based data to measure progress towards this HTC target are needed to assess the country's changing needs for HIV prevention and treatment. METHODS: In 2012-2013, we conducted a national HIV survey among Kenyans aged 18 months to 64 years. Respondents aged 15-64 years were administered a questionnaire that collected information on demographics, HIV testing behavior, and self-reported HIV status. Blood samples were collected for HIV testing in a central laboratory. Participants were offered home-based testing and counseling to learn their HIV status in the home and point-of-care CD4 testing if they tested HIV-positive. RESULTS: Of 13,720 adults who were interviewed, 71.6% [95% confidence interval (CI): 70.2 to 73.1] had been tested for HIV. Among those, 56.1% (95% CI: 52.8 to 59.4) had been tested in the past year, 69.4% (95% CI: 68.0 to 70.8) had been tested more than once, and 37.2% (95% CI: 35.7 to 38.8) had been tested with a partner. Fifty-three percent (95% CI: 47.6 to 58.7) of HIV-infected persons were unaware of their infection. Overall 9874 (72.0%) of participants accepted home-based HIV testing and counseling; 4.1% (95% CI: 3.3 to 4.9) tested HIV-positive, and of those, 42.5% (95% CI 31.4 to 53.6) were in need of immediate treatment for their HIV infection but not receiving it. CONCLUSIONS: HIV testing rates have nearly reached the national target for HTC in Kenya. However, knowledge of HIV status among HIV-infected persons remains low. HTC needs to be expanded to reach more men and couples, and strategies are needed to increase repeat testing for persons at risk for HIV infection.

BACKGROUND: The Kenyan Ministry of Health initiated a voluntary medical male circumcision (VMMC) program in 2008. We used data from 2 nationally representative surveys to estimate trends in the number, demographic characteristics, and sexual behaviors of recently circumcised and uncircumcised HIV-uninfected men in Kenya. METHODS: We compared the proportion of circumcised men between the first and second Kenya AIDS Indicator Survey (KAIS 2007 and KAIS 2012) to assess the progress of Kenya's VMMC program. We calculated the number of uncircumcised HIV-uninfected men. We conducted descriptive analyses and used multivariable methods to identify the variables independently associated with HIV-uninfected uncircumcised men aged 15-64 years in the VMMC priority region of Nyanza. RESULTS: The proportion of men who reported being circumcised increased significantly from 85.0% in 2007 to 91.2% in 2012. The proportions of circumcised men increased in all regions, with the highest increases of 18.1 and 9.0 percentage points in the VMMC priority regions of Nyanza and Nairobi, respectively. Half (52.5%) of HIV-uninfected and uncircumcised men had never been married, and 84.6% were not using condoms at all times with their last sexual partner. CONCLUSIONS: VMMC prevalence has increased across Kenya demonstrating the success of the national program. Despite this accomplishment, the Nyanza region remains below the target to circumcise 80% of all eligible men aged 15-49 years between 2009 and 2013. As new cohorts of young men enter into adolescence, consistent focus is needed. To ensure sustainability of the VMMC program, financial resources and coordinated planning must continue.

BACKGROUND: Kenya has an estimated 13,000 new infant HIV infections that occur annually. We measured the burden of HIV infection among women of childbearing age and assessed access to and coverage of key prevention of mother-to-child transmission interventions. METHODS: The second Kenya AIDS Indicator Survey was a nationally representative 2-stage cluster sample of households. We analyzed data from women aged 15-54 years who had delivered a newborn within the preceding 5 years and from whom we obtained samples for HIV testing. RESULTS: Of 3310 women who had ≥1 live birth in the preceding 5 years, 2862 (86.5%) consented to HIV testing in the survey, and 171 (6.1%) were found to be infected. Ninety-five percent received prenatal care, 93.1% were screened for HIV during prenatal care, and of those screened, 97.8% received their test results. Seventy-six women were known to be infected in their last pregnancy. Of these, 54 (72.3%) received antepartum antiretroviral prophylaxis, and 51 (69.1%) received intrapartum prophylaxis; 56 (75.3%) reported their newborns received postpartum prophylaxis. Of the 76 children born to these mothers, 63 (82.5%) were tested for HIV at the first immunization visit or thereafter, and 8 (15.1%) were HIV infected. CONCLUSIONS: We found a substantial burden of HIV in Kenyan women of childbearing age and a cumulative 5-year mother-to-child transmission rate of 15%. Although screening has improved over the past 5 years, fewer than three-quarters of infected pregnant women are receiving antiretroviral prophylaxis. Universal antiretroviral therapy for HIV-infected pregnant women will be essential in achieving Kenyan's target to eliminate mother-to-child transmission to <5% by 2015.

BACKGROUND: Enhanced HIV surveillance using demographic, behavioral, and biologic data from national surveys can provide information to evaluate and respond to HIV epidemics efficiently. METHODS: From October 2012 to February 2013, we conducted a two-stage cluster sampling survey of persons aged 18 months to 64 years in 9 geographic regions in Kenya. Participants answered questionnaires and provided blood for HIV testing. We estimate HIV prevalence, HIV incidence, describe trends in HIV prevalence over the past five years, and identify factors associated with HIV infection. This analysis is restricted to persons aged 15 to 64 years. RESULTS: HIV prevalence was 5.6% (95% CI 4.9-6.3%) in 2012, a significant decrease from 2007, when HIV prevalence, excluding the North Eastern region, was 7.2% (95% CI 6.6-7.9%). HIV incidence was 0.4% (95% CI 0.2-0.6) in 2012. Among women, factors associated with undiagnosed HIV infection included being aged 35-39 years, divorced or separated, being from urban residences and Nyanza region, self-perceiving a moderate risk of HIV infection, condom use with the last partner, and reporting four or more lifetime number of partners. Among men, widowhood, condom use with the last partner, and lack of circumcision were associated with undiagnosed HIV infection. CONCLUSION: HIV prevalence has declined in Kenya since 2007. With improved access to treatment, HIV prevalence has become more challenging to interpret without data on new infections or mortality. Correlates of undiagnosed HIV infection provide important information on where to prioritize prevention interventions to reduce transmission of HIV in the broader population.