Pre-Exposure Prophylaxis (PrEP) is recommended as an HIV prevention measure for men who have sex with men (MSM). We assessed factors associated with PrEP retention and adherence among MSM in Kigali, Rwanda. We undertook a retrospective cross-sectional study and used a questionnaire to obtain PrEP retention and adherence history from MSM enrolled in the key population (KP) program that attended scheduled follow-up clinics from four (4) health facilities between April 2021 to June 2021. Retention was defined as attending scheduled PrEP follow-up appointments and adherence as taking PrEP medication 95% or more of the time. We used multivariable cox proportion hazard regression to determine factors associated with 3-month retention and principal component analysis (PCA) to determine factors associated with self-reported adherence. Data were analyzed using STATA (version 16.0). We interviewed 439 MSM aged 18 years and above that were initiated on PrEP. Majority were employed (57%, n = 251), between ages 25-34 years (49%, n = 217), close to half completed primary level education (47%, n = 206), were involved in sex work (42%, n = 184), and over a half lived in household of 1-2 members (55%, n = 241). Ninety percent of the MSM respondents (n = 393) were retained on PrEP at 3 months and among those retained, 287 (73%) had good adherence. Multivariable cox regression revealed that MSM more likely to be retained on PrEP, were those that are sex workers (adjusted Hazard Ratio (aHR) = 4.139; 95% Confidence Interval (95%CI): 1.569, 10.921), had more than one (1) regular sexual partners (aHR = 3.949; 95%CI: 2.221, 7.022), lived in households of 3-5 members (aHR = 3.755; 95%CI: 1.706, 8.261), completed secondary school education (aHR = 2.154; 95%CI: 1.130, 4.108), and were circumcised (aHR = 2.218, 95%CI: 1.232, 3.993). Employed MSM had a 66% decreased likelihood to be retained on PrEP (aHR = 0.345; 95%CI: 0.168, 0.707). Similarly, MSM that used condoms consistently had an 85% decreased likelihood to be retained on PrEP (aHR = 0.149; 95%CI: 0.035, 0.632). Principal component regression analysis showed that the component with MSM with higher numbers of regular sexual partners had increased odds of adhering to PrEP (Crude Odds Ratio (cOR) = 1.32; 95%CI: 1.144, 1.530). The study highlighted that MSM using PrEP as the main method of HIV prevention were more likely to be retained and adherent to PrEP. There is need to emphasize PrEP use alongside other HIV prevention methods and targeted STI testing and treatment among PrEP users.

INTRODUCTION: Malnutrition contributes to 45% of all childhood deaths globally, but these modelled estimates lack direct measurements in countries with high malnutrition and under-5 mortality rates. We investigated malnutrition's role in infant and child deaths in the Child Health and Mortality Prevention Surveillance (CHAMPS) network. METHODS: We analysed CHAMPS data from seven sites (Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone and South Africa) collected between 2016 and 2023. An expert panel assessed each death to determine whether malnutrition was an underlying, antecedent or immediate cause or other significant condition. Malnutrition was further classified based on postmortem anthropometry using WHO growth standards for underweight (z-scores for weight-for-age <-2), stunting (length-for-age <-2), and wasting (weight-for-length or MUAC Z-scores <-2). RESULTS: Of 1601 infant and child deaths, malnutrition was considered a causal or significant condition in 632 (39.5%) cases, including 85 (13.4%) with HIV infection. Postmortem measurements indicated 90.1%, 61.2% and 94.1% of these cases were underweight, stunted and wasted, respectively. Most malnutrition-related deaths (n=632) had an infectious cause (89.1%). The adjusted odds of having malnutrition as causal or significant condition were 2.4 (95% CI 1.7 to 3.2) times higher for deaths involving infectious diseases compared with other causes. Common pathogens in the causal pathway for malnutrition-related deaths included Klebsiella pneumoniae (30.4%), Streptococcus pneumoniae (21.5%), Plasmodium falciparum (18.7%) and Escherichia coli/Shigella (17.2%). CONCLUSION: Malnutrition was identified as a causal or significant factor in 39.5% of under-5 deaths in the CHAMPS network, often in combination with infectious diseases. These findings highlight the need for integrated interventions addressing both malnutrition and infectious diseases to effectively reduce under-5 mortality.

BACKGROUND: Men who have sex with men (MSM) are a key population group disproportionately affected by HIV and other sexually transmitted infections (STIs) worldwide. In Rwanda, the HIV epidemic remains a significant public health concern, and understanding the burden of HIV and hepatitis B and C coinfections among MSM is crucial for designing effective prevention and control strategies. This study aims to determine the prevalence of HIV, hepatitis B, and hepatitis C infections among MSM in Rwanda and identify correlates associated with HIV infection within this population. METHODS: We used respondent-driven sampling (RDS) to recruit participants between November and December 2021. A face-to-face, structured questionnaire was administered. Testing for HIV infection followed the national algorithm using two rapid tests: Alere Combo and STAT PAK as the first and second screening tests, respectively. Hepatitis B surface antigen (HBsAg) and anti-HCV tests were performed. All statistics were adjusted for RDS design, and a multivariable logistic regression model was constructed to identify factors associated with HIV infection. RESULTS: The prevalence of HIV among MSM was 6·9% (95% CI: 5·5-8·6), and among HIV-positive MSM, 12·9% (95% CI: 5·5-27·3) were recently infected. The prevalence of hepatitis B and C was 4·2% (95% CI: 3·0-5·7) and 0·7% (95% CI: 0·4-1·2), respectively. HIV and hepatitis B virus coinfection was 0·5% (95% CI: 0·2-1·1), whereas HIV and hepatitis C coinfection was 0·1% (95% CI: 0·0-0·5), and no coinfection for all three viruses was observed. MSM groups with an increased risk of HIV infection included those who ever suffered violence or abuse because of having sex with other men (AOR: 3·42; 95% CI: 1·87-6·25), those who refused to answer the question asking about 'ever been paid money, goods, or services for sex' (AOR: 10·4; 95% CI: 3·30-32·84), and those not consistently using condoms (AOR: 3·15; 95% CI: 1·31-7·60). CONCLUSION: The findings suggest more targeted prevention and treatment approaches and underscore the importance of addressing structural and behavioral factors contributing to HIV vulnerability, setting interventions to reduce violence and abuse against MSM, promoting safe and consensual sexual practices, and expanding access to HIV prevention tools such as condoms and preexposure prophylaxis (PrEP).

BACKGROUND: HIV surveillance among key populations is a priority in all epidemic settings. Female sex workers (FSWs) globally as well as in Rwanda are disproportionately affected by the HIV epidemic; hence, the Rwanda HIV and AIDS National Strategic Plan (2018-2024) has adopted regular surveillance of population size estimation (PSE) of FSWs every 2-3 years. OBJECTIVE: We aimed at estimating, for the fourth time, the population size of street- and venue-based FSWs and sexually exploited minors aged ≥15 years in Rwanda. METHODS: In August 2022, the 3-source capture-recapture method was used to estimate the population size of FSWs and sexually exploited minors in Rwanda. The field work took 3 weeks to complete, with each capture occasion lasting for a week. The sample size for each capture was calculated using shinyrecap with inputs drawn from previously conducted estimation exercises. In each capture round, a stratified multistage sampling process was used, with administrative provinces as strata and FSW hotspots as the primary sampling unit. Different unique objects were distributed to FSWs in each capture round; acceptance of the unique object was marked as successful capture. Sampled FSWs for the subsequent capture occasions were asked if they had received the previously distributed unique object in order to determine recaptures. Statistical analysis was performed in R (version 4.0.5), and Bayesian Model Averaging was performed to produce the final PSE with a 95% credibility set (CS). RESULTS: We sampled 1766, 1848, and 1865 FSWs and sexually exploited minors in each capture round. There were 169 recaptures strictly between captures 1 and 2, 210 recaptures exclusively between captures 2 and 3, and 65 recaptures between captures 1 and 3 only. In all 3 captures, 61 FSWs were captured. The median PSE of street- and venue-based FSWs and sexually exploited minors in Rwanda was 37,647 (95% CS 31,873-43,354), corresponding to 1.1% (95% CI 0.9%-1.3%) of the total adult females in the general population. Relative to the adult females in the general population, the western and northern provinces ranked first and second with a higher concentration of FSWs, respectively. The cities of Kigali and eastern province ranked third and fourth, respectively. The southern province was identified as having a low concentration of FSWs. CONCLUSIONS: We provide, for the first time, both the national and provincial level population size estimate of street- and venue-based FSWs in Rwanda. Compared with the previous 2 rounds of FSW PSEs at the national level, we observed differences in the street- and venue-based FSW population size in Rwanda. Our study might not have considered FSWs who do not want anyone to know they are FSWs due to several reasons, leading to a possible underestimation of the true PSE.

As Rwanda approaches the UNAIDS Fast Track goals which recommend that 95% of HIV-infected individuals know their status, of whom 95% should receive treatment and 95% of those on treatment achieve viral suppression, the country currently relies on an inefficient paper, and disjointed electronic, systems for case-based surveillance (CBS). Rwanda has established an ecosystem of interoperable systems based on open standards to support HIV CBS. Data were successfully exchanged between an EMR, a client registry, laboratory information system and DHIS-2 Tracker, and subsequently, a complete analytic dataset was ingested into MS-Power Business Intelligence (MS-PowerBI) for analytics and visualization of the CBS data. Existing challenges included inadequate workforce capacity to support mapping of data elements to HL7 FHIR resources. Interoperability optimization to support CBS is work in progress and rigorous evaluations on the effect on health information exchange on monitoring patient outcomes are needed.

Antibodies are used to estimate prevalence of past infection. However, T cell responses against SARSCoV-2 may more accurately define prevalence because SARS-CoV-2-specific antibodies wane. In November-December 2021, we studied serological and cellular immune responses in residents of rural Kenya who had not experienced any respiratory symptom nor had contact with COVID-19 cases. Among participants we detected anti-spike antibodies in 41.0% and T cell responses against >=2 SARSCoV-2 proteins in 82.5%, which implies that serosurveys underestimate SARS-CoV-2 prevalence in settings where asymptomatic infections prevail. Distinct from cellular immunity in European and Asian COVID-19 convalescents, strong T cell immunogenicity was observed against viral accessory proteins in these asymptomatic Africans, as well as a higher IL-10/IFN-gamma ratio cytokine profile, suggesting that environmental or genetic factors modulate pro-inflammatory responses. Copyright The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license.

Violence Against Children and Youth Survey (VACS) data from seven countries were analyzed to estimate population-level eligibility for the President's Emergency Plan for AIDS Relief (PEPFAR) Determined, Resilient, Empowered, AIDS-Free, Mentored, and Safe (DREAMS) HIV prevention program for adolescent girls and young women (AGYW). The prevalence of overall eligibility and individual risk factors, including experiences of violence, social, and behavioral risks differ across countries and age groups. A large proportion of AGYW across all countries and age groups examined have at least one risk factor making them eligible for DREAMS. Experiencing multiple risks is also common, suggesting that researchers and programs could work together to identify combinations of risk factors that put AGYW at greatest risk of HIV acquisition, or that explain most new HIV infections, to more precisely target the most vulnerable AGYW. The VACS provides important data for such analyses to refine DREAMS and other youth programming.

Gender-based violence (GBV) is a complex issue deeply rooted in social structures, making its eradication challenging. GBV increases the risk of HIV transmission and is a barrier to HIV testing, care, and treatment. Quality clinical services for GBV, which includes the provision of HIV postexposure prophylaxis (PEP), vary, and service delivery data are lacking. We describe GBV clinical service delivery in 15 countries supported by the President's Emergency Plan for AIDS Relief (PEPFAR) through the U.S. Centers for Disease Control and Prevention. Through a descriptive statistical analysis of PEPFAR Monitoring, Evaluation, and Reporting (MER) data, we found a 252% increase in individuals receiving GBV clinical services, from 158,691 in 2017 to 558,251 in 2021. PEP completion was lowest (15%) among 15-19-year-olds. Understanding GBV service delivery is important for policy makers, program managers, and providers to guide interventions to improve the quality of service delivery and contribute to HIV epidemic control.

BACKGROUND: SARS-CoV-2 infection in Africa has been characterized by less severe disease than elsewhere but the profile of SARS-CoV-2 specific adaptive immunity in this largely asymptomatic spread has not been studied. METHODS: We collected blood and nasopharyngeal samples from rural Kenyans (n=80) without respiratory symptoms since 2019, had no contact with COVID-19 cases or received COVID-19 vaccines and were negative for current SARS-CoV-2 infection. We analyzed spike-specific antibodies and T cells specific for SARS-CoV-2 structural (membrane, nucleocapsid and spike) and accessory (ORF3a, ORF7, ORF8) proteins. Pre-pandemic samples collected in urban Nairobi, Kenya (n=13) between 2015-2016 and samples of mild-moderately symptomatic COVID-19 convalescents (n=36) living in the urban environment of Singapore were also studied. RESULTS: Among asymptomatic Kenyans, we detected anti-spike antibodies in 41.0% and T cell responses against ≥2 SARS-CoV-2 proteins in 82.5%. The pre-pandemic samples from Nairobi had low-level, monospecific responses. Furthermore, distinct from cellular immunity in European and Asian COVID-19 convalescents, strong T cell immunogenicity was observed against viral accessory proteins (ORF3a, ORF8) and not structural proteins, as well as a higher IL-10/IFN-γ ratio cytokine profile. CONCLUSIONS: The high incidence of T cell responses against different SARS-CoV-2 proteins in largely seronegative participants suggests that serosurveys underestimate SARS-CoV-2 prevalence in settings where asymptomatic infections prevail. Similar observations have been made with other coronavirus infections such as MERS and SARS-CoV-1. The functional and antigen-specific profile of SARS-CoV-2 specific T cells in these African individuals suggests that genetic or environmental factors play a role in the development of protective antiviral immunity. FUNDINGS: U.S. Centers for Disease Control and Prevention, Division of Global Health Protection; the Singapore Ministry of Health's National Medical Research Council.

BACKGROUND: Globally, men who have sex with men (MSM) continue to bear a disproportionately high burden of HIV infection. Rwanda experiences a mixed HIV epidemic, which is generalized in the adult population, with aspects of a concentrated epidemic among certain key populations at higher risk of HIV infection, including MSM. Limited data exist to estimate the population size of MSM at a national scale; hence, an important piece is missing in determining the denominators to use in estimates for policy makers, program managers, and planners to effectively monitor HIV epidemic control. OBJECTIVE: The aims of this study were to provide the first national population size estimate (PSE) and geographic distribution of MSM in Rwanda. METHODS: Between October and December 2021, a three-source capture-recapture method was used to estimate the MSM population size in Rwanda. Unique objects were distributed to MSM through their networks (first capture), who were then tagged according to MSM-friendly service provision (second capture), and a respondent-driven sampling survey was used as the third capture. Capture histories were aggregated in a 2k-1 contingency table, where k indicates the number of capture occasions and "1" and "0" indicate captured and not captured, respectively. Statistical analysis was performed in R (version 4.0.5) and the Bayesian nonparametric latent-class capture-recapture package was used to produce the final PSE with 95% credibility sets (CS). RESULTS: We sampled 2465, 1314, and 2211 MSM in capture one, two, and three, respectively. There were 721 recaptures between captures one and two, 415 recaptures between captures two and three, and 422 recaptures between captures one and three. There were 210 MSM captured in all three captures. The total estimated population size of MSM above 18 years old in Rwanda was 18,100 (95% CS 11,300-29,700), corresponding to 0.70% (95% CI 0.4%-1.1%) of total adult males. Most MSM reside in the city of Kigali (7842, 95% CS 4587-13,153), followed by the Western province (2469, 95% CS 1994-3518), Northern province (2375, 95% CS 842-4239), Eastern province (2287, 95% CS 1927-3014), and Southern province (2109, 95% CS 1681-3418). CONCLUSIONS: Our study provides, for the first time, a PSE of MSM aged 18 years or older in Rwanda. MSM are concentrated in the city of Kigali and are almost evenly distributed across the other 4 provinces. The national proportion estimate bounds of MSM out of the total adult males includes the World Health Organization's minimum recommended proportion (at least 1.0%) based on 2012 census population projections for 2021. These results will inform denominators to be used for estimating service coverage and fill existing information gaps to enable policy makers and planners to monitor the HIV epidemic among MSM nationally. There is an opportunity for conducting small-area MSM PSEs for subnational-level HIV treatment and prevention interventions.

COVID-19 mitigation measures such as curfews, lockdowns, and movement restrictions are effective in reducing the transmission of SARS-CoV-2; however, these measures can enable sexual violence. We used data from the Kenya Health Information System and different time-series approaches to model the unintended consequences of COVID-19 mitigation measures on sexual violence trends in Kenya. We found a model-dependent 73%-122% increase in reported sexual violence cases, mostly among persons 10-17 years of age, translating to 35,688 excess sexual violence cases above what would have been expected in the absence of COVID-19-related restrictions. In addition, during lockdown, the percentage of reported rape survivors receiving recommended HIV PEP decreased from 61% to 51% and STI treatment from 72% to 61%. Sexual violence mitigation measures might include establishing comprehensive national sexual violence surveillance systems, enhancing prevention efforts during school closures, and maintaining access to essential comprehensive services for all ages and sexes.

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: Previous research has shown a high prevalence of violence among young people in Kenya. Violence is a known risk factor for HIV acquisition and these two public health issues could be viewed as a syndemic. In 2010, Kenya became the third country to implement the Violence Against Children and Youth Survey (VACS). The study found a high prevalence of violence in the country. Led by the Government of Kenya, stakeholders implemented several prevention and response strategies to reduce violence. In 2019, Kenya implemented a second VACS. This study examines the changes in violence and risk factors for violence and HIV between 2010 and 2019. METHODS: The 2010 and 2019 VACS used a similar sampling approach and measures. Both VACS were cross-sectional national household surveys of young people aged 13-24 years, designed to produce national estimates of physical, sexual, and emotional violence. Prevalence and changes in lifetime experiences of violence and risk factors for violence and HIV were estimated. The VACS uses a three-stage cluster sampling approach with random selection of enumeration areas as the first stage, households as the second stage, and an eligible participant from the selected household as the third stage. The VACS questionnaire contains sections on demographics, risk and protective factors, violence victimisation, violence perpetration, sexual behaviour, HIV testing and services, violence service knowledge and uptake, and health outcomes. For this study, the main outcome variables were violence victimisation, context of violence, and risk factors for violence. All analyses were done with the entire sample of 13-24-year-olds stratified by sex and survey year. FINDINGS: The prevalence of lifetime sexual, physical, and emotional violence significantly declined in 2019 compared with 2010, including unwanted sexual touching, for both females and males. Experience of pressured and forced sex among females also decreased between the surveys. Additionally, significantly more females sought and received services for sexual violence and significantly more males knew of a place to seek help in 2019 than in 2010. The prevalence of several risk factors for violence and HIV also declined, including infrequent condom use, endorsement of inequitable gender norms, endorsement of norms justifying wife beating, and never testing for HIV. INTERPRETATION: Kenya observed significant declines in the prevalence of lifetime violence and some risk factors for violence and HIV, and improvements in some service seeking indicators between 2010 and 2019. Continued prioritisation of preventing and responding to violence in Kenya could contribute to further reductions in violence and its negative outcomes. Other countries in the region that have made substantial investments and implemented similar violence prevention programmes could use repeat VACS data to monitor violence and related outcomes over time. FUNDING: None.

Adolescent girls and young women aged 13-24 years are disproportionately affected by HIV in sub-Saharan Africa (1), resulting from biologic, behavioral, and structural* factors, including violence. Girls in sub-Saharan Africa also experience sexual violence at higher rates than do boys (2), and women who experience intimate partner violence have 1.3-2.0 times the odds of acquiring HIV infection, compared with those who do not (3). Violence Against Children and Youth Survey (VACS) data during 2007-2018 from nine countries funded by the U.S. President's Emergency Plan for AIDS Relief (PEPFAR) were analyzed to estimate prevalence and assess factors associated with early sexual debut and forced sexual initiation.(†) Among adolescent girls and young women aged 13-24 years who ever had sex, the prevalence of lifetime sexual violence ranged from 12.5% to 49.3%, and forced sexual initiation ranged from 14.7% to 38.9%; early sexual debut among adolescent girls and young women aged 16-24 years ranged from 14.4% to 40.1%. In multiple logistic regression models, forced sexual initiation was associated with being unmarried, violence victimization, risky sexual behaviors, sexually transmitted infections (STIs), and poor mental health. Early sexual debut was associated with lower education, marriage, ever witnessing parental intimate partner violence during childhood, risky sexual behaviors, poor mental health, and less HIV testing. Comprehensive violence and HIV prevention programming is needed to delay sexual debut and protect adolescent girls and young women from forced sex.

BACKGROUND: Lower respiratory tract infections are a leading cause of death in young children, but few studies have collected the specimens needed to define the role of specific causes. The Child Health and Mortality Prevention Surveillance (CHAMPS) platform aims to investigate causes of death in children aged <5 years in high-mortality rate settings, using postmortem minimally invasive tissue sampling and other advanced diagnostic techniques. We examined findings for deaths identified in CHAMPS sites in 7 countries in sub-Saharan Africa and south Asia to evaluate the role of respiratory syncytial virus (RSV). METHODS: We included deaths that occurred between December 2016 and December 2019. Panels determined causes of deaths by reviewing all available data including pathological results from minimally invasive tissue sampling, polymerase chain reaction screening for multiple infectious pathogens in lung tissue, nasopharyngeal swab, blood, and cerebrospinal fluid samples, clinical information from medical records, and verbal autopsies. RESULTS: We evaluated 1213 deaths, including 695 in neonates (aged <28 days), 283 in infants (28 days to <12 months), and 235 in children (12-59 months). RSV was detected in postmortem specimens in 67 of 1213 deaths (5.5%); in 24 deaths (2.0% of total), RSV was determined to be a cause of death, and it contributed to 5 other deaths. Younger infants (28 days to <6 months of age) accounted for half of all deaths attributed to RSV; 6.5% of all deaths in younger infants were attributed to RSV. RSV was the underlying and only cause in 4 deaths; the remainder (n = 20) had a median of 2 (range, 1-5) other conditions in the causal chain. Birth defects (n = 8) and infections with other pathogens (n = 17) were common comorbid conditions. CONCLUSIONS: RSV is an important cause of child deaths, particularly in young infants. These findings add to the substantial body of literature calling for better treatment and prevention options for RSV in high-mortality rate settings.

Background: HIV diagnosis is the gateway to antiretroviral therapy. However, 20-50% of HIV-infected individuals are unaware of their HIV status, derailing epidemic control. | | Objective: To increase awareness of HIV status and enrollment into HIV care & treatment (C&T) services through a national HIV testing services (HTS) rapid results initiative (RRI) campaign in Kenya. | | Design: This cross-sectional analysis presents yield of undiagnosed people living with HIV (PLHIV) and their enrollment into HIV C&T resulting from HTS RRI implemented in July-August 2013 as an example of utilizing RRIs to catalyze achievement of UNAIDS targets. | | Results: During the campaign 1,462,378 persons received HTS, of whom 220,902 (15%) were children (aged <15 years), 55,088 (7%) couples and 116,126 (8%) key populations. A total of 37,630 (2.6%) HIV+ individuals were identified. Among children who received HTS, 3,244 (1.5%) tested HIV positive, compared to 34,386 (2.8%) among adults. Of the eight regions in Kenya: Nyanza, Rift-valley and | Nairobi contributed 73.3% of all HIV+ individuals identified. HTS at health facility settings yielded the highest proportion (69%) of HIV+ and key populations had the highest prevalence (4.8%). Of those infected, 29,851 (79.3%) were enrolled into HIV C&T. Sex, age and setting of HTS were significantly associated with enrollment into HIV C&T (p<0.0001). | | Conclusion: National HTS campaigns have the potential of increasing knowledge of HIV status. Targeted provision of HTS at health facility settings, to key populations and high burden geographical regions would narrow the gap of undiagnosed PLHIV towards achieving UNIADS 90-90-90 targets for HIV epidemic control.

BACKGROUND: Intermittent preventive treatment in pregnancy (IPTp) with sulfadoxine-pyrimethamine (SP) is recommended for preventing malaria in pregnancy in areas of moderate-to-high transmission in sub-Saharan Africa. However, due to increasing parasite resistance to SP, research on alternative strategies is a priority. The study assessed the implementation feasibility of intermittent screening and treatment (ISTp) in the second and third trimester at antenatal care (ANC) with malaria rapid diagnostic tests (RDTs) and treatment of positive cases with dihydroartemisinin-piperaquine (DP) compared to IPTp-SP in western Kenya. METHODS: A 10-month implementation study was conducted in 12 government health facilities in four sub-counties. Six health facilities were assigned to either ISTp-DP or IPTp-SP. Evaluation comprised of facility audits, ANC observations, and exit interviews. Intermediate and cumulative effectiveness analyses were performed on all processes involved in delivery of ISTp-DP including RDT proficiency and IPTp-SP ± directly observed therapy (DOT, standard of care). Logistic regression was used to identify predictors of receiving each intervention. RESULTS: A total of 388 and 389 women were recruited in the ISTp-DP and IPTp-SP arms, respectively. For ISTp-DP, 90% (289/320) of eligible women received an RDT. Of 11% (32/289) who tested positive, 71% received the correct dose of DP and 31% the first dose by DOT, and only 6% were counselled on subsequent doses. Women making a sick visit and being tested in a facility with a resident microscopist were more likely to receive ISTp-DP (AOR 1.78, 95% CI 1.31, 2.41; and AOR 3.75, 95% CI 1.31, 2.40, respectively). For IPTp-SP, only 57% received a dose of SP by DOT. Payment for a laboratory test was independently associated with receipt of SP by DOT (AOR 6.43, 95% CI 2.07, 19.98). CONCLUSIONS: The findings indicate that the systems effectiveness of ANC clinics to deliver ISTp-DP under routine conditions was poor in comparison to IPTp-SP. Several challenges to integration of ISTp with ANC were identified that may need to be considered by countries that have introduced screening at first ANC visit and, potentially, for future adoption of ISTp with more sensitive RDTs. Understanding the effectiveness of ISTp-DP will require additional research on pregnant women's adherence to ACT.

BACKGROUND: Shortage of health workforce in most African countries is a major impediment to achieving health and development goals. Countries are encouraged to develop evidence-based strategies to scale up their health workforce in order to bridge the gap. South-South collaborations have gained popularity due to similarities in the challenges faced in the region. This strategy has been used in trade, education, and health sector among others. This paper is a road map of using a South-South collaboration to develop a Human Resources Information System (HRIS) to inform scale-up of the health workforce. CASE PRESENTATION: In the last decade, Kenya implemented one of the most comprehensive HRIS in Africa. The HRIS was funded by the US President's Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention (CDC) and implemented by Emory University. The Kenyan team collaborated with the Zambian team to establish a similar HRIS in Zambia. This case study describes the collaboration activities between Zambia and Kenya which included needs assessment, establishment of project office, stakeholders' sensitization, technical assistance and knowledge transfer, software reuse, documents and guidelines reuse, project structure and management, and project formative evaluation. Furthermore, it highlights the need for adopting effective communication strategies, collaborative planning, teamwork, willingness to learn, and having minimum technical skills from the recipient country as lessons learned from the collaboration. As a result of the collaboration, while Kenya took 5 years, Zambia was able to implement the project within 2 years which is less than half the time it took Kenya. CONCLUSIONS: This case presents a unique experience in the use of South-South collaboration in establishing a HRIS. It illustrates the steps and resources needed while identifying the successes and challenges in undertaking such collaboration.

Background: While advances have been made in HIV prevention and treatment, new HIV infections continue to occur. The introduction of pre-exposure prophylaxis (PrEP) as an additional HIV prevention option for those at high risk of HIV may change the landscape of the HIV epidemic, especially in sub-Saharan Africa, which bears the greatest HIV burden. Methods: This paper details Kenya's experience of PrEP rollout as a national public sector program. The process of a national rollout of PrEP guidance, partnerships, challenges, lessons learnt and progress related to national scale up of PrEP in Kenya, as of 2018, is described. National rollout of PrEP was strongly lead by the government, and work was executed through a multidisciplinary, multi-organisation dedicated team. This required reviewing available evidence, providing guidance to health providers, integration into existing logistic and health information systems, robust communication and community engagement. Mapping of the response showed that subnational levels had existing infrastructure but required targeted resources to catalyse PrEP provision. Rollout scenarios were developed and adopted, with prioritisation of 19 counties focusing on high incidence area and high potential PrEP users to maximise impact and minimise costs. Results: PrEP is now offered in over 900 facilities countrywide. There are currently over 14000 PrEP users 1 year after launching PrEP.Conclusions: Kenya becomes the first African country to rollout PrEP as a national program, in the public sector. This case study will provide guidance for low- and middle-income countries planning the rollout of PrEP in response to both generalised and concentrated epidemics.

BACKGROUND: In a spatially well-known and dispersed HIV epidemic, identifying geographic clusters with significantly higher HIV-prevalence is important for focusing interventions for people living with HIV (PLHIV). METHODS: We used Kulldorff spatial-scan Poisson model to identify clusters with high numbers of HIV-infected persons 15-64 years old. We classified PLHIV as belonging to either higher or lower prevalence (HP/LP) clusters, then assessed distributions of socio-demographic and bio-behavioral HIV risk factors and associations with clustering. RESULTS: About half of survey locations, 112/238 (47%) had high rates of HIV (HP clusters), with 1.1-4.6 times greater PLHIV adults observed than expected. Richer persons compared to respondents in lowest wealth index had higher odds of belonging to a HP cluster, adjusted odds ratio (aOR), 1.61(95% CI: 1.13-2.3), aOR 1.66(95% CI: 1.09-2.53), aOR 3.2(95% CI: 1.82-5.65), aOR 2.28(95% CI: 1.09-4.78) in second, middle, fourth and highest quintiles respectively. Respondents who perceived themselves to have greater HIV risk or were already HIV-infected had higher odds of belonging to a HP cluster, aOR 1.96(95% CI: 1.13-3.4) and aOR 5.51(95% CI: 2.42-12.55) respectively; compared to perceived low risk. Men who had ever been clients of FSW had higher odds of belonging to a HP cluster than those who had never been, aOR 1.47(95% CI: 1.04-2.08); and uncircumcised men vs circumcised, aOR 3.2, (95% CI: 1.74-5.8). CONCLUSION: HIV infection in Kenya exhibits localized geographic clustering associated with socio-demographic and behavioral factors, suggesting disproportionate exposure to higher HIV-risk. Identification of these clusters reveals the right places for targeting priority-tailored HIV interventions.

BACKGROUND: Home based HIV testing and counseling (HBTC) increases access to services and is associated with high testing uptake. Alongside testing, individuals are offered HIV prevention messages with an aim of helping them reduce HIV high risk sexual behaviors. This study explored the level of provision and subsequent utilization of HIV prevention messages and associated change in behavior among individuals who had received HBTC previously in an informal settlement. METHODS: In a mixed method cross sectional study, we interviewed 1257 individuals and conducted 6 focus group discussions (FGD). Multiple correspondence analysis (MCA) was used to construct provision of prevention messages and behavior change indices using STATA 3.0. Pearson's chi-square statistics was used to test for bivariate association between the outcomes and logistic regression analysis was carried out with the behavior change index as the outcome of interest and the predictors considered significant (p<0.1). Thematic content analysis for qualitative data was done using Atlas 3.0. RESULTS: Out of the 1257participants, 1078 (85.8%) had ever tested for HIV, with 74.2% having tested in the Kibera HBTC program. Nearly all (97.4%) rated HBTC experience as either excellent (62.4%) or good (37%) and would recommend it to a friend. Provision of prevention messages was high among HBTC clients compared to clients from other testing sites; partner reduction counselling (64% versus 52%) and faithfulness (78.3% versus 67%); p=0.001. Self-reported behavior change after HBTC was generally low with condom use at 10.7% and men more likely to practice safer sex (p = 0.002). Trust of the sexual partners and fear of suspicion were the main reasons given for not using condoms. Clients testing HIV positive after previous negative result were 3.4%. The focus group discussions reported multiple sexual partnerships among both HIV negative and positive residents alike. CONCLUSION: Although prevention messages delivered during HBTC are accepted and appreciated in this community, their utilization is low in both HIV negative and positive individuals. Innovative strategies for change of normative beliefs about sexual behavior are urgently needed.

Introduction: Home Based Testing and Counselling (HBTC) aims at reaching individuals who have low HIV risk perception and experience barriers which prevent them from seeking HIV testing and counseling (HTC) services. Saturating the community with HTC is needed to achieve the ambitious 90-90-90 targets of knowledge of HIV status, ARV treatment and viral suppression. This paper describes the use of health belief model and community participation principles in HBTC to achieve increased household coverage and HTC uptake. Methods: This cross sectional survey was done between August 2009 and April 2011 in Kibera slums, Nairobi city. Using three community participation principles; defining and mobilizing the community, involving the community, overcoming barriers and respect to cultural differences and four constructs of the health belief model; risk perception, perceived severity, perceived benefits of changed behavior and perceived barriers; we offered HTC services to the participants. Descriptive statistics were used to describe socio-demographic characteristics, calculate uptake and HIV prevalence. Results: There were 72,577 individuals enumerated at the start of the program; 75,141 residents were found during service delivery. Of those, 71,925 (95.7%) consented to participate, out of which 71,720 (99.7%) took the HIV test. First time testers were (39%). The HIV prevalence was higher (6.4%) among repeat testers than first time testers (4.0%) with more women (7.4%) testing positive than men (3.6%) and an overall 5.5% slum prevalence. Conclusion: This methodology demonstrates that the use of community participation principles combined with a psychosocial model achieved high HTC uptake, coverage and diagnosed HIV in individuals who believed they are HIV free. This novel approach provides baseline for measuring HTC coverage in a community.

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.

Low and middle income countries (LMICs) bear a disproportionate burden of major global health challenges. Health IT could be a promising solution in these settings but LMICs have the weakest evidence of application of health IT to enhance quality of care. Various systematic reviews show significant challenges in the implementation and evaluation of health IT. Key barriers to implementation include lack of adequate infrastructure, inadequate and poorly trained health workers, lack of appropriate legislation and policies and inadequate financial 333indicating the early state of generation of evidence to demonstrate the effectiveness of health IT in improving health outcomes and processes. The implementation challenges need to be addressed. The introduction of new guidelines such as GEP-HI and STARE-HI, as well as models for evaluation such as SEIPS, and the prioritization of evaluations in eHealth strategies of LMICs provide an opportunity to focus on strategic concepts that transform the demands of a modern integrated health care system into solutions that are secure, efficient and sustainable.

BACKGROUND: A clinical decision support system (CDSS) is a computer program that applies a set of rules to data stored in electronic health records to offer actionable recommendations. We aimed to establish whether a CDSS that supports detection of immunological treatment failure among patients with HIV taking antiretroviral therapy (ART) would improve appropriate and timely action. METHODS: We did this prospective, cluster randomised controlled trial in adults and children (aged ≥18 months) who were eligible for, and receiving, ART at HIV clinics in Siaya County, western Kenya. Health facilities were randomly assigned (1:1), via block randomisation (block size of two) with a computer-generated random number sequence, to use electronic health records either alone (control) or with CDSS (intervention). Facilities were matched by type and by number of patients enrolled in HIV care. The primary outcome measure was the difference between groups in the proportion of patients who experienced immunological treatment failure and had a documented clinical action. We used generalised linear mixed models with random effects to analyse clustered data. This trial is registered with ClinicalTrials.gov, number NCT01634802. FINDINGS: Between Sept 1, 2012, and Jan 31, 2014, 13 clinics, comprising 41 062 patients, were randomly assigned to the control group (n=6) or the intervention group (n=7). Data collection at each site took 12 months. Among patients eligible for ART, 10 358 (99%) of 10 478 patients were receiving ART at control sites and 10 991 (99%) of 11 028 patients were receiving ART at intervention sites. Of these patients, 1125 (11%) in the control group and 1342 (12%) in the intervention group had immunological treatment failure, of whom 332 (30%) and 727 (54%), respectively, received appropriate action. The likelihood of clinicians taking appropriate action on treatment failure was higher with CDSS alerts than with no decision support system (adjusted odds ratio 3·18, 95% CI 1·02-9·87). INTERPRETATION: CDSS significantly improved the likelihood of appropriate and timely action on immunological treatment failure. We expect our findings will be generalisable to virological monitoring of patients with HIV receiving ART once countries implement the 2015 WHO recommendation to scale up viral load monitoring.

INTRODUCTION: Several studies conducted in sub-Saharan Africa (SSA) have shown that routine clinical data in HIV clinics often have errors. Lack of structured and coded documentation of diagnosis of AIDS defining illnesses (ADIs) can compromise data quality and decisions made on clinical care. METHODS: We used a structured framework to derive a reference set of concepts and terms used to describe ADIs. The four sources used were: (i) CDC/Accenture list of opportunistic infections, (ii) SNOMED Clinical Terms (SNOMED CT), (iii) Focus Group Discussion (FGD) among clinicians and nurses attending to patients at a referral provincial hospital in western Kenya, and (iv) chart abstraction from the Maternal Child Health (MCH) and HIV clinics at the same hospital. Using the January 2014 release of SNOMED CT, concepts were retrieved that matched terms abstracted from approach iii & iv, and the content coverage assessed. Post-coordination matching was applied when needed. RESULTS: The final reference set had 1054 unique ADI concepts which were described by 1860 unique terms. Content coverage of SNOMED CT was high (99.9% with pre-coordinated concepts; 100% with post-coordination). The resulting reference set for ADIs was implemented as the interface terminology on OpenMRS data entry forms. CONCLUSION: Different sources demonstrate complementarity in the collection of concepts and terms for an interface terminology. SNOMED CT provides a high coverage in the domain of ADIs. Further work is needed to evaluate the effect of the interface terminology on data quality and quality of care.

Sub-Saharan Africa (SSA) bears the heaviest burden of the HIV epidemic. Health workers play a critical role in the scale-up of HIV programs. SSA also has the weakest information and communication technology (ICT) infrastructure globally. Implementing interoperable national health information systems (HIS) is a challenge, even in developed countries. Countries in resource-limited settings have yet to demonstrate that interoperable systems can be achieved, and can improve quality of healthcare through enhanced data availability and use in the deployment of the health workforce. We established interoperable HIS integrating a Master Facility List (MFL), District Health Information Software (DHIS2), and Human Resources Information Systems (HRIS) through application programmers interfaces (API). We abstracted data on HIV care, health workers deployment, and health facilities geo-coordinates. Over 95% of data elements were exchanged between the MFL-DHIS and HRIS-DHIS. The correlation between the number of HIV-positive clients and nurses and clinical officers in 2013 was Rsquared=0.251 and Rsquared2=0.261 respectively. Wrong MFL codes, data type mis-match and hyphens in legacy data were key causes of data transmission errors. Lack of information exchange standards for aggregate data made programming time-consuming.

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.

INTRODUCTION: The monitoring of pre-antiretroviral therapy (pre-ART) is a key indicator of HIV quality of care. This study investigated the association of an electronic medical record system (EMR) with adherence to pre-ART guidelines in rural HIV clinics in Kenya. METHODS: A retrospective study was carried out to assess the quality of pre-ART care using three indicators: (1) the performance of a baseline CD4 test, (2) time from enrollment in care to first CD4 test, and (3) time from baseline CD4 to second CD4 test. A comparison of these indicators was made pre and post the introduction of an EMR system in 17 rural HIV clinics. RESULTS: A total of 18523 patients were receiving pre-ART care, of whom 38.8% in the paper group had had at least one CD4 test compared to 53.4% in the EMR group (p<0.001). The adjusted odds of performing a CD4 test in clinics using an EMR was 1.59 (95% confidence interval 1.49-1.69). The median time from enrolment into HIV care to first CD4 test was 1.40 months (interquartile range (IQR) 0.47-4.87) for paper vs. 0.93 months (IQR 0.43-3.37) for EMR. The median time from baseline to first CD4 follow-up was 7.5 months (IQR 5.97-10.73) for paper and 6.53 months (IQR 5.57-7.87) for EMR. CONCLUSION: The use of the EMR system was associated with better compliance to HIV guidelines for pre-ART care. EMRs have a potential positive impact on quality of care for HIV patients in resource-constrained settings.