BACKGROUND: Sub-Saharan Africa region bears the highest chronic hepatitis B virus (HBV) infection burden worldwide. National estimates of HBV burden are necessary for a viral hepatitis program planning. This study estimated the national prevalence of HBV infection in Kenya among people aged 15-64 years. METHODS: Of 27,745 participants age 15-64 years in the Kenya Population-based HIV Impact Assessment (KENPHIA) 2018 household survey, we analyzed data for all persons living with HIV (PLHIV; n = 1,521) and a random sample of HIV-negative persons (n = 1,551), totaling to 3,072 participants. We tested whole blood samples for hepatitis B surface antigen (HBsAg) using Determine™ HBsAg rapid test and used population projections to estimate national disease burden. Pearson chi square was performed and the weighted prevalence proportions presented. FINDINGS: Of the 3,072 participants,124 tested HBsAg positive, resulting in a weighted national HBV prevalence of 3.0% (95% CI: 2.2-3.9%). This translated to an HBV infection burden of 810,600 (95% CI: 582,700-1,038,600) persons age 15-64 years in Kenya. Distribution of HBV prevalence varied widely (p<0.001) by geography, ranging from 0.1% in Eastern Kenya regions to over 5% in northern and western Kenya. Prevalence of HBV infection was higher in PLHIV (4.7%; 95% CI: 3.3-6.0%) compared to HIV-negative persons (3.0%; 95% CI: 2.1-3.9%), and was highest among persons: age 45-54 years (6.4%; 95% CI: 3.3-9.5%), those who reported no formal education (10.7%; 95% CI: 5.1-16.4%), in polygamous marriages (6.8%; 95% CI: 1.7-11.8%), and in the lowest wealth quintile (5.3%; 95% CI: 2.8-7.7). When adjusted for covariates, lack of formal education (aOR = 4.2; 95% CI: 1.5-12.6) was significantly associated with HBV infection. In stratified analysis by HIV status, residing in rural areas and history of blood transfusion were independently associated with HBV infection among PLHIV, while lack of formal education and no history of blood transfusion were associated with HBV infection among HIV-negative participants (p<0.05). INTERPRETATION: HBV prevalence among persons aged 15-64 years in Kenya was 3.0%. Higher prevalence was documented among persons without formal education, in the lowest wealth quintile, and those living in Kenya's North-Eastern, Rift Valley-North and Nyanza regions. Targeted programmatic measures to strengthen interventions against HBV infections including newborn vaccination and treatment of infected adults to limit mother-to-child transmission, would be helpful in reducing burden of HBV-associated viral hepatitis.

Objectives: This study aimed to conduct an epidemiological and genomic investigation of a hospital outbreak of Candida auris, and implement measures for its control. Methods: We collected demographic and clinical data from medical records of patients with C. auris from January 2017 to June 2019 after identifying increased cases in April 2019. Point-prevalence surveys for C. auris colonisation were conducted in the critical care units (CCU). Antifungal susceptibility testing and genomic sequencing of isolates were performed. A bundle of infection prevention and control measures was instituted. Results: Thirty-two patients with C. auris were identified. All patients had a history of CCU admission. A total of 283 screening swabs were obtained and 57 isolates of C. auris identified. Antifungal susceptibility testing was performed on 48 isolates. All but two isolates were resistant to fluconazole; one isolate was also resistant to amphotericin B. Forty-one of 46 isolate genomes were clonally related and formed a distinct genetic cluster in Clade III. C. auris colonisation reduced from 42% in June 2019 to 1% in August 2019, and no new hospital-acquired colonisation was identified in the subsequent 9 months. Conclusions: We identified a new genetic subcluster of Clade III C. auris. We also show that strict implementation of infection prevention measures can lead to substantial reductions in C. auris transmission. © 2024 The Authors

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).

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.

We analyzed data from the 2018 Kenya Population-Based HIV Impact Assessment (KENPHIA), a cross-sectional, nationally representative survey, to estimate the burden and prevalence of pediatric HIV infection, identify associated factors, and describe the clinical cascade among children aged < 15 years in Kenya. Interviewers collected information from caregivers or guardians on child's demographics, HIV testing, and treatment history. Blood specimens were collected for HIV serology and if HIV-positive, the samples were tested for viral load and antiretrovirals (ARV). For participants <18 months TNA PCR is performed. We computed weighted proportions with 95% confidence intervals (CI), accounting for the complex survey design. We used bivariable and multivariable logistic regression to assess factors associated with HIV prevalence. Separate survey weights were developed for interview responses and for biomarker testing to account for the survey design and non-response. HIV burden was estimated by multiplying HIV prevalence by the national population projection by age for 2018. Of 9072 survey participants (< 15 years), 87% (7865) had blood drawn with valid HIV test results. KENPHIA identified 57 HIV-positive children, translating to an HIV prevalence of 0.7%, (95% CI: 0.4%-1.0%) and an estimated 138,900 (95% CI: 84,000-193,800) of HIV among children in Kenya. Specifically, children who were orphaned had about 2 times higher odds of HIV-infection compared to those not orphaned, adjusted Odds Ratio (aOR) 2.2 (95% CI:1.0-4.8). Additionally, children whose caregivers had no knowledge of their HIV status also had 2 times higher odds of HIV-infection compared to whose caregivers had knowledge of their HIV status, aOR 2.4 (95% CI: 1.1-5.4)". From the unconditional analysis; population level estimates, 78.9% of HIV-positive children had known HIV status (95% CI: 67.1%-90.2%), 73.6% (95% CI: 60.9%-86.2%) were receiving ART, and 49% (95% CI: 32.1%-66.7%) were virally suppressed. However, in the clinical cascade for HIV infected children, 92% (95% CI: 84.4%-100%) were receiving ART, and of these, 67.1% (95% CI: 45.1%-89.2%) were virally suppressed. The KENPHIA survey confirms a substantial HIV burden among children in Kenya, especially among orphans.

BACKGROUND: Nationally-representative surveys provide an opportunity to assess trends in recent HIV infection based on assays for recent HIV infection. METHODS: We assessed HIV incidence in Kenya in 2018 and trends in recent HIV infection among adolescents and adults in Kenya using nationally representative household surveys conducted in 2007, 2012 and 2018. To assess trends, we defined a recent HIV infection testing algorithm (RITA) that classified as recently infected (<12 months) those HIV-positive participants that were recent on the HIV-1 limiting antigen (LAg)-avidity assay without evidence of antiretroviral use. We assessed factors associated with recent and long-term (≥12 months) HIV infection versus no infection using a multinomial logit model while accounting for complex survey design. FINDINGS: Of 1,523 HIV-positive participants in 2018, 11 were classified as recent. Annual HIV incidence was 0.14% in 2018 (95% confidence interval [CI] 0.057-0.23), representing 35,900 (95% CI 16,300-55,600) new infections per year in Kenya among persons aged 15-64 years. The percentage of HIV infections that were determined to be recent was similar in 2007 and 2012 but fell significantly from 2012 to 2018 (adjusted odds ratio [aOR]=0.31, p<0.001). Compared to no HIV infection, being aged 25-34 versus 35-64 years (aOR=4.2, 95% CI 1.4-13), having more lifetime sex partners (aOR=5.2, 95% CI 1.6-17 for 2-3 partners and aOR=8.6, 95% CI 2.8-26 for ≥4 partners versus 0-1 partners), and never having tested for HIV (aOR=4.1, 95% CI 1.5-11) were independently associated with recent HIV infection. INTERPRETATION: Though HIV remains a public health priority in Kenya, HIV incidence estimates and trends in recent HIV infection support a significant decrease in new HIV infections from 2012 to 2018, a period of rapid expansion in HIV diagnosis, prevention, and treatment.

INTRODUCTION: Achieving optimal HIV outcomes, as measured by global 90-90-90 targets, that is awareness of HIV-positive status, receipt of antiretroviral (ARV) therapy among aware and viral load (VL) suppression among those on ARVs, respectively, is critical. However, few data from sub-Saharan Africa (SSA) are available on older people (50+) living with HIV (OPLWH). We examined 90-90-90 progress by age, 15-49 (as a comparison) and 50+ years, with further analyses among 50+ (55-59, 60-64, 65+ vs. 50-54), in 13 countries (Cameroon, Cote d'Ivoire, Eswatini, Ethiopia, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia and Zimbabwe). METHODS: Using data from nationally representative Population-based HIV Impact Assessments, conducted between 2015and 2019, participants from randomly selected households provided demographic and clinical information and whole blood specimens for HIV serology, VL and ARV testing. Survey weighted outcomes were estimated for 90-90-90 targets. Country-specific Poisson regression models examined 90-90-90 variation among OPLWH age strata. RESULTS: Analyses included 24,826 HIV-positive individuals (15-49 years: 20,170; 50+ years: 4656). The first, second and third 90 outcomes were achieved in 1, 10 and 5 countries, respectively, by those aged 15-49, while OPLWH achieved outcomes in 3, 13 and 12 countries, respectively. Among those aged 15-49, women were more likely to achieve 90-90-90 targets than men; however, among OPLWH, men were more likely to achieve first and third 90 targets than women, with second 90 achievement being equivalent. Country-specific 90-90-90 regression models among OPLWH demonstrated minimal variation by age stratum across 13 countries. Among OLPWH, no first 90 target differences were noted by age strata; three countries varied in the second 90 by older age strata but not in a consistent direction; one country showed higher achievement of the third 90 in an older age stratum. CONCLUSIONS: While OPLWH in these 13 countries were slightly more likely than younger people to be aware of their HIV-positive status (first 90), this target was not achieved in most countries. However, OPLWH achieved treatment (second 90) and VL suppression (third 90) targets in more countries than PLWH <50. Findings support expanded HIV testing, prevention and treatment services to meet ongoing OPLWH health needs in SSA.

BACKGROUND: Understanding the magnitude and causes of mortality at national and sub-national levels for countries is critical in facilitating evidence-based prioritization of public health response. We provide comparable cause of death data from Kisumu County, a high HIV and malaria-endemic county in Kenya, and compared them with Kenya and low-and-middle income countries (LMICs). METHODS: We analyzed data from a mortuary-based study at two of the largest hospital mortuaries in Kisumu. Mortality data through 2019 for Kenya and all LMICs were downloaded from the Global Health Data Exchange. We provided age-standardized rates for comparisons of all-cause and cause-specific mortality rates, and distribution of deaths by demographics and Global Burden of Disease (GBD) classifications. RESULTS: The all-cause age-standardized mortality rate (SMR) was significantly higher in Kisumu compared to Kenya and LMICs (1118 vs. 659 vs. 547 per 100,000 population, respectively). Among women, the all-cause SMR in Kisumu was almost twice that of Kenya and double the LMICs rate (1150 vs. 606 vs. 518 per 100,000 population respectively). Among men, the all-cause SMR in Kisumu was approximately one and a half times higher than in Kenya and nearly double that of LMICs (1089 vs. 713 vs. 574 per 100,000 population). In Kisumu and LMICs non-communicable diseases accounted for most (48.0 and 58.1% respectively) deaths, while in Kenya infectious diseases accounted for the majority (49.9%) of deaths. From age 10, mortality rates increased with age across all geographies. The age-specific mortality rate among those under 1 in Kisumu was nearly twice that of Kenya and LMICs (6058 vs. 3157 and 3485 per 100,000 population, respectively). Mortality from injuries among men was at least one and half times that of women in all geographies. CONCLUSION: There is a notable difference in the patterns of mortality rates across the three geographical areas. The double burden of mortality from GBD Group I and Group II diseases with high infant mortality in Kisumu can guide prioritization of public health interventions in the county. This study demonstrates the importance of establishing reliable vital registry systems at sub-national levels as the mortality dynamics and trends are not homogeneous.

School-related factors may influence retention in care and adherence to antiretroviral therapy (ART) among adolescents with human immunodeficiency virus (HIV). We analyzed data from in-depth interviews with 40 adolescents with HIV (aged 14 -19 years), 40 caregivers of adolescents with HIV, and 4 focus group discussions with healthcare workers to evaluate contextual factors affecting adherence to ART and clinic attendance among adolescents, with a focus on the school environment. Informed by Anderson's Model of Health Services Utilization, transcripts were systematically coded and synthesized to identify school-related themes. All groups identified the school environment as a critical barrier to engagement in HIV care and medication adherence for adolescents with HIV. Adolescent participants reported inflexible school schedules and disclosure to school staff as the biggest challenges adhering to clinic appointments and ART. Adolescents described experiencing stigma and discrimination by peers and school staff and would adjust when, where and how often they took ART to avoid inadvertent disclosure. Boarding school students faced challenges because they had limited private space or time. Caregivers were often instrumental in navigating school permissions, including identifying a treatment supporter among school staff. Additional research engaging school staff may guide interventions for schools to reduce stigma and improve adherence and retention.

BACKGROUND: HIV infection is associated with high mortality among people with TB. Antiretroviral therapy (ART) reduces TB incidence and mortality among people living with HIV (PLHIV). Since 2005, Kenya has scaled up TB and HIV prevention, diagnosis and treatment. We evaluated the impact of these services on trends and TB treatment outcomes.METHODS: Using Microsoft Excel (2016) and Epi-Info 7, we analysed Kenya Ministry of Health TB surveillance data from 2008 to 2018 to determine trends in TB notifications, TB classification, HIV and ART status, and TB treatment outcomes.RESULTS: Among the 1,047,406 people reported with TB, 93% knew their HIV status, and 37% of these were HIV-positive. Among persons with TB and HIV, 69% received ART. Between 2008 and 2018, annual TB notifications declined from 110,252 to 96,562, and HIV-coinfection declined from 45% to 27%. HIV testing and ART uptake increased from 83% to 98% and from 30% to 97%, respectively. TB case fatality rose from 3.5% to 3.9% (P <0.018) among HIV-negative people and from 5.1% to 11.2% (P <0.001) among PLHIV on ART.CONCLUSION: TB notifications decreased in settings with suboptimal case detection. Although HIV-TB services were scaled-up, HIV-TB case fatality rose significantly. Concerted efforts are needed to address case detection and gaps in quality of TB care.

BACKGROUND: Retention of patients who are receiving antiretroviral therapy (ART) remains a challenge especially in the setting of rapid expansion of HIV services. Retention in care remains vital to the HIV care continuum, and has been associated with viral suppression and improved survival. This study aimed to ascertain survival rates, time to loss to follow-up (LTFU) or mortality events and factors associated with time to LTFU or mortality among patients enrolled on antiretroviral therapy at health facilities in central Kenya. METHODS: This was a retrospective cohort study among patients initiated on ART between 2004 and 2012 in central Kenya. Demographic characteristics, clinical characteristics and outcomes data were analyzed using Stata version 15.1. Competing risks regression analysis and cummulative incidence functions were used to estimate survival. RESULTS: A total of 31,346 patients were included, of whom 65.6% were female, 76.0% were aged between 20 and 50 years old, and 38.9% were diagnosed at WHO stage III. At 36 months, overall retention was 68.8%, LTFU was 27.1%, and mortality was 4.1%. The total person-years of follow up was 74,986. The incidence rate of LTFU was 9.99 per 100 person years for a total of 9383.25 person-years of follow up. The mortality rate was 1.25 per 100 person years for a total of 875.5 person-years among those who died. The median time to LTFU was 11 months (IQR 3-22) while median time to death was 3 months (IQR 0-13). Men, unmarried patients, patients presenting with advanced HIV, not on TB treatment, and enrolled into the HIV program in later cohorts, had a shorter time to mortality and LTFU. CONCLUSION: Our study demonstrated evidence of scale-up of HIV treatment programs in central Kenya. While most patients were enrolled at an advanced WHO clinical stage, overall 36-month mortality remained low, but occurred earlier during follow-up. Cohort LTFU at 36-months reduced in later years with the losses occurring within the 1st year of follow-up. Predictors of early mortality and LTFU included being male, single, separated or divorced, advanced WHO clinical stage, and among patients not on TB treatment.

Cysticercosis is the leading cause of acquired epilepsy worldwide and has been shown to be highly prevalent in pig populations in western Kenya. We conducted a community-based door-to-door survey in a region of western Kenya with a high proportion of pig-keeping households. Persons with epilepsy (PWE) were determined using a screening questionnaire followed by a neurologist evaluation. Cysticercosis serum apDia antigen ELISAs and Western blot for LLGP and rT24h antigen were performed on all PWE and 2% of screen-negative patients. All PWE or people with positive apDia underwent contrast-enhanced brain computed tomography (CT). Of a sample of 810 village residents, 660 (81%) were present in the homestead, of whom 648 (98%) participated. Of these, 17 were confirmed to have lifetime epilepsy, an estimated crude prevalence of 2.6%. No humans with (N = 17) or without (N = 12) epilepsy had serological evidence of cysticercosis infection. Fourteen PWE and one individual with borderline positive apDia antigen ELISA underwent brain CT; none had radiographic findings consistent with neurocysticercosis. Nearly 30% of households kept pigs, with 69% always tethered in both wet and dry seasons. More than 8% (6/72) of pigs had palpable lingual cysts; these pigs all originated from homesteads with latrines, one-third of which were free-ranging at least some of the time. Epilepsy prevalence in our study was greater than the national prevalence, but we found no individuals with epilepsy attributable to cysticercosis. Additional studies are required to identify causes of epilepsy, human and porcine cysticercosis, the role of spatial clustering, and protective factors like host-pathogen immunity.

Community mobilization is an integral process of raising awareness and increasing participation in a specific program. Communities with long-standing mistrust of health research may otherwise be reluctant to participate in surveys originating outside of their locality, particularly when asked to share personal information, provide blood samples, or undergo medical examinations. Here we discuss the community mobilization approaches undertaken by the Population-based HIV Impact Assessment (PHIA) project to optimize participation in surveys across 13 countries of sub-Saharan Africa. The PHIA Project developed a community mobilization strategy to address anticipated community concerns. In each country, a trained cadre of Community Mobilization Coordinators (CMCs) facilitated (1) ongoing communication with leadership and stakeholders at national, provincial/district and local levels; (2) door-to-door visits and group meetings; (3) promotional material dissemination through radio and television jingles and mass social/community media; and (4) the use of public address systems to enhance survey awareness and promote participation. Response rates (RR) were recorded from each survey. The PHIA surveys' mobilization efforts cultivated a receptive environment for data collection. The average household response rate for 13 PHIA surveys was 90.4% and interview RR were consistently over 80%, with women more likely to conduct an interview in all countries except Cote d'Ivoire. 89% of eligible women consented to a blood draw and 81.1% of eligible men consented. The robust and contextualized community mobilization approaches in PHIA were critical for engaging communities in large-scale public health surveys and contributed to high RR in participant interviews and blood draw.

BACKGROUND AND SETTING: About 20% of persons living with HIV aged 15-64years did not know their HIV status in Kenya, by 2018. Kenya adopted HIV self-testing (HIVST) to help close this gap. We examined the sociodemographic characteristics and outcomes of self-reported users of HIVST as our primary outcome. METHODS: We used data from a 2018 population-based cross-sectional household survey in which we included self-reported sociodemographic and behavioral characteristics and HIV test results. To compare weighted proportions, we used the Rao-Scott -square test and Jackknife variance estimation. In addition, we used logistic regression to identify associations of sociodemographic, behavioral, and HIVST utilization. RESULTS: Of the 23,673 adults who reported having ever tested for HIV, 937 (4.1%) had ever self-tested for HIV. There were regional differences in HIVST, with Nyanza region having the highest prevalence (6.4%), p<0.001. Factors independently associated with having ever self-tested for HIV were secondary education (adjusted odds ratio [aOR], 3.5 [95% (CI): 2.1-5.9]) compared to no primary education, being in the third (aOR, 1.7 [95% CI: 1.2-2.3]), fourth (aOR, 1.6 [95% CI: 1.1-2.2]), or fifth (aOR, 1.8 [95% CI: 1.2-2.7]) wealth quintiles compared to the poorest quintile and having one lifetime sexual partner (aOR, 1.8 [95% CI: 1.0-3.2]) or having2 partners (aOR, 2.1 [95% CI: 1.2-3.7]) compared to none. Participants aged50years had lower odds of self-testing (aOR, 0.6 [95% CI: 0.4-1.0]) than those aged 15-19years. CONCLUSION: Kenya has made progress in rolling out HIVST. However, geographic differences and social demographic factors could influence HIVST use. Therefore, more still needs to be done to scale up the use of HIVST among various subpopulations. Using multiple access models could help ensure equity in access to HIVST. In addition, there is need to determine how HIVST use may influence behavior change towardsaccess to prevention and HIV treatment services.

BACKGROUND: Lack of dependable morbidity and mortality data complicates efforts to measure the demographic or population-level impact of the global HIV/AIDS epidemic. Mortuary-based mortality surveillance can address gaps in vital statistics in low-resource settings by improving accuracy of measuring HIV-associated mortality and indicators of access to treatment services among decedents. This paper describes the process and considerations taken in conducting mortuary and hospital-based HIV mortality surveillance among decedents in Kenya. MAIN TEXT: We conducted HIV mortuary and hospital-based mortality surveillance at two of the largest mortuaries in Kisumu County, Kenya (April 16-July 12, 2019). Medical charts were reviewed for documentation of HIV status among eligible decedents. HIV testing was done on blood and oral fluid samples from decedents with undocumented HIV status and those whose medical records indicated HIV-negative test results > 3 months before death. A panel of experts established the cause of death according to the International Classification of Diseases, 10th Revision rules. Civil registry data for the year 2017 were abstracted and coded to corresponding ICD-10 codes. Of the 1004 decedents admitted to the two mortuaries during the study period, 49 (4.9%) were unavailable because they had been transferred to other facilities or dispatched for burial before enrolment. Of the 955 available decedents, 104 (10.9%) were ineligible for the study. Blood samples were collected from 659 (77.4%) decedents, and 654 (99.2%) were tested for HIV. Of the 564 decedents eligible for the OraQuick® validation sub-study, 154 were eligible for oral sample collection, and 132 (85.7%) matched pre- and post-embalming oral samples were collected and tested. Of the 851 eligible decedents, 241 (28.3%) had evidence of HIV infection: 119 had a diagnosis of HIV infection recorded in their patient files, and 122 had serological evidence of HIV infection. CONCLUSION: This study shows that in low-resource settings, conducting hospital and mortuary-based surveillance is feasible and can be an alternative source of mortality data when civil registry data are inadequate.

BACKGROUND: Pregnant and breastfeeding adolescents and young women living with HIV (AYWLH) have lower retention in prevention of mother-to-child transmission (PMTCT) services compared to older women. METHODS: We evaluated a differentiated service model for pregnant and postnatal AYWLH at seven health facilities in western Kenya aimed at improving retention in antiretroviral treatment (ART) services. All pregnant AYWLH < 25 years presenting for antenatal care (ANC) were invited to participate in group ANC visits including self-care and peer-led support sessions conducted by health facility nurses per national guidelines. ART register data were used to assess loss to follow-up (LTFU) among newly-enrolled pregnant adolescent (< 20 years) and young women (20-24 years) living with HIV starting ART in the pre-period (January-December 2016) and post-period (during implementation; December 2017-January 2019). Poisson regression models compared LTFU incidence rate ratios (IRR) in the first six months after PMTCT enrollment and risk ratios compared uptake of six week testing for HIV-exposed infants (HEI) between the pre- and post-periods. RESULTS: In the pre-period, 223 (63.2%) of 353 pregnant AYWLH newly enrolled in ANC had ART data, while 320 (71.1%) of 450 in the post-period had ART data (p = 0.02). A higher proportion of women in the post-period (62.8%) had known HIV-positive status at first ANC visit compared to 49.3% in the pre-period (p < 0.001). Among pregnant AYWLH < 20 years, the incidence rate of LTFU in the first six months after enrollment in ANC services declined from 2.36 per 100 person months (95%CI 1.06-5.25) in the pre-period to 1.41 per 100 person months (95%CI 0.53-3.77) in the post-period. In both univariable and multivariable analysis, AYWLH < 20 years in the post-period were almost 40% less likely to be LTFU compared to the pre-period, although this finding did not meet the threshold for statistical significance (adjusted incidence rate ratio 0.62, 95%CI 0.38-1.01, p = 0.057). Testing for HEI was 10% higher overall in the post-period (adjusted risk ratio 1.10, 95%CI 1.01-1.21, p = 0.04). CONCLUSIONS: Interventions are urgently needed to improve outcomes among pregnant and postnatal AYWLH. We observed a trend towards increased retention among pregnant adolescents during our intervention and a statistically significant increase in uptake of six week HEI testing.

BACKGROUND: Estimating cause-related mortality among the dead is not common, yet for clinical and public health purposes, a lot can be learnt from the dead. HIV/AIDS accounted for the third most frequent cause of deaths in Kenya; 39.7 deaths per 100,000 population in 2019. OraQuick Rapid HIV-1/2 has previously been validated on oral fluid and implemented as a screening assay for HIV self-testing in Kenya among living subjects. We assessed the feasibility and diagnostic accuracy of OraQuick Rapid HIV-1/2 for HIV screening among decedents. METHODS: Trained morticians collected oral fluid from 132 preembalmed and postembalmed decedents aged >18 months at Jaramogi Oginga Odinga Teaching and Referral Hospital mortuary in western Kenya and tested for HIV using OraQuick Rapid HIV-1/2. Test results were compared with those obtained using the national HIV Testing Services algorithm on matched preembalming whole blood specimens as a gold standard (Determine HIV and First Response HIV 1-2-O). We calculated positive predictive values, negative predictive values, area under the curve, and sensitivity and specificity of OraQuick Rapid HIV-1/2 compared with the national HTS algorithm. RESULTS: OraQuick Rapid HIV-1/2 had similar sensitivity of 92.6% [95% confidence interval (CI): 75.7 to 99.1] on preembalmed and postembalmed samples compared with the gold standard. Specificity was 97.1% (95% CI: 91.9 to 99.4) and 95.2% (95% CI: 89.2 to 98.4) preembalming and postembalming, respectively. Preembalming and postembalming positive predictive value was 89.3% (95% CI: 71.8 to 97.7) and 83.3% (95% CI: 65.3 to 94.4), respectively. The area under the curve preembalming and postembalming was 94.9% (95% CI: 89.6 to 100) and 93.9% (95% CI: 88.5 to 99.4), respectively. CONCLUSIONS: The study showed a relatively high-performance sensitivity and specificity of OraQuick Rapid HIV-1/2 test among decedents, similar to those observed among living subjects. OraQuick Rapid HIV-1/2 presents a convenient and less invasive screening test for surveillance of HIV among decedents within a mortuary setting.

BACKGROUND: Accurate data on HIV-related mortality are necessary to evaluate the impact of HIV interventions. In low- and middle-income countries (LMIC), mortality data obtained through civil registration are often of poor quality. Though not commonly conducted, mortuary surveillance is a potential complementary source of data on HIV-associated mortality. METHODS: During April-July 2019, we assessed HIV prevalence, the attributable fraction among the exposed, and the population attributable fraction among decedents received by two high-volume mortuaries in Kisumu County, Kenya, where HIV prevalence in the adult population was estimated at 18% in 2019 with high ART coverage (76%). Stillbirths were excluded. The two mortuaries receive 70% of deaths notified to the Kisumu East civil death registry; this registry captures 45% of deaths notified in Kisumu County. We conducted hospital chart reviews to determine the HIV status of decedents. Decedents without documented HIV status, including those dead on arrival, were tested using HIV antibody tests or polymerase chain reaction (PCR) consistent with national HIV testing guidelines. Decedents aged less than 15 years were defined as children. We estimated annual county deaths by applying weights that incorporated the study period, coverage of deaths, and mortality rates observed in the study. RESULTS: The two mortuaries received a total of 1,004 decedents during the study period, of which 95.1% (955/1004) were available for study; 89.1% (851/955) of available decedents were enrolled of whom 99.4% (846/851) had their HIV status available from medical records and post-mortem testing. The overall population-based, age- and sex-adjusted mortality rate was 12.4 per 1,000 population. The unadjusted HIV prevalence among decedents was 28.5% (95% confidence interval (CI): 25.5-31.6). The age- and sex-adjusted mortality rate in the HIV-infected population (40.7/1000 population) was four times higher than in the HIV-uninfected population (10.2/1000 population). Overall, the attributable fraction among the HIV-exposed was 0.71 (95% CI: 0.66-0.76) while the HIV population attributable fraction was 0.17 (95% CI: 0.14-0.20). In children the attributable fraction among the exposed and population attributable fraction were 0.92 (95% CI: 0.89-0.94) and 0.11 (95% CI: 0.08-0.15), respectively. CONCLUSIONS: Over one quarter (28.5%) of decedents received by high-volume mortuaries in western Kenya were HIV-positive; overall, HIV was considered the cause of death in 17% of the population (19% of adults and 11% of children). Despite substantial scale-up of HIV services, HIV disease remains a leading cause of death in western Kenya. Despite progress, increased efforts remain necessary to prevent and treat HIV infection and disease.

BACKGROUND: TB is the leading cause of mortality among people living with HIV (PLHIV), for whom isoniazid preventive therapy (IPT) has a proven mortality benefit. Despite WHO recommendations, countries have been slow in scaling up IPT. This study describes processes, challenges, solutions, outcomes and lessons learned during IPT scale-up in Kenya.METHODS: We conducted a desk review and analyzed aggregated Ministry of Health (MOH) IPT enrollment data from 2014 to 2018 to determine trends and impact of program activities. We further analyzed IPT completion reports for patients initiated from 2015 to 2017 in 745 MOH sites in Nairobi, Central, Eastern and Western Kenya.RESULTS: IPT was scaled up 75-fold from 2014 to 2018: the number of PLHIV covered increased from 9,981 to 749,890. The highest percentage increases in the cumulative number of PLHIV on IPT were seen in the quarters following IPT pilot projects in 2014 (49%), national launch in 2015 (54%), and HIV treatment acceleration in 2016 (158%). Among 250,069 patients initiating IPT from 2015 to 2017, 97.5% completed treatment, 0.2% died, 0.8% were lost to follow-up, 1.0% were not evaluated, and 0.6% discontinued treatment.CONCLUSIONS: IPT can be scaled up rapidly and effectively among PLHIV. Deliberate MOH efforts, strong leadership, service delivery integration, continuous mentorship, stakeholder involvement, and accountability are critical to program success.

BACKGROUND: Electronic Health Record Systems (EHRs) are being rolled out nationally in many low- and middle-income countries (LMICs) yet assessing actual system usage remains a challenge. We employed a nominal group technique (NGT) process to systematically develop high-quality indicators for evaluating actual usage of EHRs in LMICs. METHODS: An initial set of 14 candidate indicators were developed by the study team adapting the Human Immunodeficiency Virus (HIV) Monitoring, Evaluation, and Reporting indicators format. A multidisciplinary team of 10 experts was convened in a two-day NGT workshop in Kenya to systematically evaluate, rate (using Specific, Measurable, Achievable, Relevant, and Time-Bound (SMART) criteria), prioritize, refine, and identify new indicators. NGT steps included introduction to candidate indicators, silent indicator ranking, round-robin indicator rating, and silent generation of new indicators. 5-point Likert scale was used in rating the candidate indicators against the SMART components. RESULTS: Candidate indicators were rated highly on SMART criteria (4.05/5). NGT participants settled on 15 final indicators, categorized as system use (4); data quality (3), system interoperability (3), and reporting (5). Data entry statistics, systems uptime, and EHRs variable concordance indicators were rated highest. CONCLUSION: This study describes a systematic approach to develop and validate quality indicators for determining EHRs use and provides LMICs with a multidimensional tool for assessing success of EHRs implementations.

Background: Pre-enrollment loss to follow-up and delayed linkage to HIV care and treatment (C&T) of newly-diagnosed HIV-infected individuals are associated with increased morbidity and mortality. Objective: To describe quality improvement approach utilized by Eastern Deanery AIDS Relief Program (EDARP) to increase linkage to HIV C&T of newly-diagnosed HIV-infected individuals. Design: Cross-sectional descriptive assessement of a three-phased continuous quality improvement (CQI) project among 20,972 newly diagnosed HIV patients at 14 EDARP health facilities in Nairobi, Kenya. Phase 1 physically escorting patients to the HIV C&T clinic; Phase 2 use of linkage registers and timely tracking and tracing individuals who missed appointments; Phase 3 use of patient HIV literacy materials. Routine patient data collected during the CQI interventions implemented between October 2011 and September 2015 were analyzed. Results: Implementation of the three CQI phases significantly increased linkage to HIV C&T from 60% at baseline in 2011 to 98% in 2015 (p<0.0001). Factors associated with decreased linkage to HIV C&T through this CQI intervention were: age (adolescents aged 1019 years), [odds ratio (OR) 0.60, 95% confidence interval (CI): 0.51-7.0]; female sex [OR 0.64, (95% CI: 0.59-0.70)] and unemployement [OR 0.84, (95% CI: 0.77-0.92)]. First time tester [OR 1.9, (95% CI: 1.8-2.1)] and divorcees [OR 2.0, (95% CI: 1.7-2.3)], (p<0.001) had increased likelihood of linkage to HIV C&T. Conclusion: Successful linkage to HIV C&T services for newly-diagnosed HIV-infected individuals is achievable through adoption of feasible and low-cost multi-pronged CQI interventions.

Identifying determinants of HIV reservoir levels may inform novel viral eradication strategies. Cytomegalovirus (CMV) and Epstein-Barr virus (EBV) co-infections were assessed as predictors of HIV proviral DNA level in 26 HIV RNA-suppressed Kenyan children starting antiretroviral therapy (ART) before 7 months of age. Earlier acquisition of CMV and EBV, and higher cumulative burden of systemic EBV DNA viremia were each associated with higher HIV DNA level in the reservoir after 24 months of ART, independent of HIV RNA levels over time. These data suggest delaying or containing CMV and EBV viremia may be novel strategies to limit HIV reservoir formation.

BACKGROUND: Over the last decade, the Kenyan HIV treatment program has grown exponentially, with improved survival among people living with HIV (PLHIV). In the same period, noncommunicable diseases (NCDs) have become a leading contributor to disease burden. We sought to characterize the burden of four major NCDs (cardiovascular diseases, cancer, chronic respiratory diseases and diabetes mellitus) among adult PLHIV in Kenya. METHODS: We conducted a nationally representative retrospective medical chart review of HIV-infected adults aged >/=15 years enrolled in HIV care in Kenya from October 1, 2003 through September 30, 2013. We estimated proportions of four NCD categories among PLHIV at enrollment into HIV care, and during subsequent HIV care visits. We compared proportions and assessed distributions of co-morbidities using the Chi-Square test. We calculated NCD incidence rates and their confidence intervals in assessing cofactors for developing NCDs. RESULTS: We analyzed 3170 records of HIV-infected patients; 2115 (66.3%) were from women. Slightly over half (51.1%) of patient records were from PLHIVs aged above 35 years. Close to two-thirds (63.9%) of PLHIVs were on ART. Proportion of any documented NCD among PLHIV was 11.5% (95% confidence interval [CI] 9.3, 14.1), with elevated blood pressure as the most common NCD 343 (87.5%) among PLHIV with a diagnosed NCD. Despite this observation, only 17 (4.9%) patients had a corresponding documented diagnosis of hypertension in their medical record. Overall NCD incidence rates for men and women were (42.3 per 1000 person years [95% CI 35.8, 50.1] and 31.6 [95% CI 27.7, 36.1], respectively. Compared to women, the incidence rate ratio for men developing an NCD was 1.3 [95% CI 1.1, 1.7], p = 0.0082). No differences in NCD incidence rates were seen by marital or employment status. At one year of follow up 43.8% of PLHIV not on ART had been diagnosed with an NCD compared to 3.7% of patients on ART; at five years the proportions with a diagnosed NCD were 88.8 and 39.2% (p < 0.001), respectively. CONCLUSIONS: PLHIV in Kenya have a high prevalence of NCD diagnoses. In the absence of systematic, effective screening, NCD burden is likely underestimated in this population. Systematic screening and treatment for NCDs using standard guidelines should be integrated into HIV care and treatment programs in sub-Saharan Africa.

Background: Understanding trends in patient profiles and identifying predictors for adverse outcomes are key to improving the effectiveness of HIV care and treatment programs. Previous work in Kenya has documented findings from a rural setting. This paper describes trends in demographic and clinical characteristics of antiretroviral therapy (ART) treatment cohorts at a large urban, referral HIV clinic and explores treatment outcomes and factors associated with attrition during 12 years of follow-up. Methods: This was a retrospective cohort analysis of HIV-infected adults who started ART between January 1, 2004, and September 30, 2015. ART-experienced patients and those with missing data were excluded. The Cochran-Armitage test was used to determine trends in baseline characteristics over time. Cox proportional hazards models were used to determine the effect of baseline characteristics on attrition. Results: ART uptake among older adolescents (15-19 years), youth, and young adults increased over time (p=0.0001). Independent predictors for attrition included (adjusted hazard ratio [95% CI]) male sex: 1.30 (1.16-1.45), p=0.0001; age: 15-19 years: 1.83 (1.26-2.66), p=0.0014; 20-24 years: 1.93 (1.52-2.44), p=0.0001; and 25-29 years: 1.31 (1.11-1.54), p=0.0012; marital status - single: 1.27 (1.11-1.44), p=0.0005; and divorced/separated: 1.56 (1.30-1.87), p=0.0001; urban residence: 1.40 (1.20-1.64), p=0.0001; entry into HIV care following hospitalization: 1.31 (1.10-1.57), p=0.0026, or transfer from another facility: 1.60 (1.26-2.04), p=0.0001; initiation of ART more than 12 months after the date of HIV diagnosis: 1.36 (1.19-1.55), p=0.0001, and history of a current or past opportunistic infection (OI): 1.15 (1.02-1.30), p=0.0284. Conclusion: Although ART uptake among adolescents and young people increased over time, this group was at increased risk for attrition. Single marital status, urban residence, history of hospitalization or OI, and delayed initiation of ART also predicted attrition. This calls for focused evidence-informed strategies to address attrition and improve outcomes.

A survey of 461 HIV-infected Kenyan children receiving antiretroviral therapy found 143 (31%) failing virologically. Drug resistance mutations were found in 121; 37 had L74V/I mutations, with 95% receiving abacavir-containing regimens. L74V/I was associated with current abacavir usage (p=0.0001). L74V/I may be more prevalent than previously realized in children failing abacavir-containing regimens, even when time on treatment has been short. Ongoing rigorous pediatric drug resistance surveillance is needed.

We investigated the epidemiological and clinical features of cryptosporidiosis, the molecular characteristics of infecting species and serum antibody responses to three Cryptosporidium-specific antigens in human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) patients in Kenya. Cryptosporidium was the most prevalent enteric pathogen and was identified in 56 of 164 (34%) of HIV/AIDS patients, including 25 of 70 (36%) with diarrhea and 31 of 94 (33%) without diarrhea. Diarrhea in patients exclusively infected with Cryptosporidium was significantly associated with the number of children per household, contact with animals, and water treatment. Cryptosporidium hominis was the most prevalent species and the most prevalent subtype family was Ib. Patients without diarrhea had significantly higher serum IgG levels to Chgp15, Chgp40 and Cp23, and higher fecal IgA levels to Chgp15 and Chgp40 than those with diarrhea suggesting that antibody responses to these antigens may be associated with protection from diarrhea and supporting further investigation of these antigens as vaccine candidates.

BACKGROUND: Epilepsy is common in developing countries, and it is often associated with parasitic infections. We investigated the relationship between exposure to parasitic infections, particularly multiple infections and active convulsive epilepsy (ACE), in five sites across sub-Saharan Africa. METHODS AND FINDINGS: A case-control design that matched on age and location was used. Blood samples were collected from 986 prevalent cases and 1,313 age-matched community controls and tested for presence of antibodies to Onchocerca volvulus, Toxocara canis, Toxoplasma gondii, Plasmodium falciparum, Taenia solium and HIV. Exposure (seropositivity) to Onchocerca volvulus (OR = 1.98; 95%CI: 1.52-2.58, p<0.001), Toxocara canis (OR = 1.52; 95%CI: 1.23-1.87, p<0.001), Toxoplasma gondii (OR = 1.28; 95%CI: 1.04-1.56, p = 0.018) and higher antibody levels (top tertile) to Toxocara canis (OR = 1.70; 95%CI: 1.30-2.24, p<0.001) were associated with an increased prevalence of ACE. Exposure to multiple infections was common (73.8% of cases and 65.5% of controls had been exposed to two or more infections), and for T. gondii and O. volvulus co-infection, their combined effect on the prevalence of ACE, as determined by the relative excess risk due to interaction (RERI), was more than additive (T. gondii and O. volvulus, RERI = 1.19). The prevalence of T. solium antibodies was low (2.8% of cases and 2.2% of controls) and was not associated with ACE in the study areas. CONCLUSION: This study investigates how the degree of exposure to parasites and multiple parasitic infections are associated with ACE and may explain conflicting results obtained when only seropositivity is considered. The findings from this study should be further validated.

BACKGROUND: In Kenya, mathematical models estimate that there are approximately 220,000 children aged less than 15 years infected with HIV. We analyzed data from the second Kenya AIDS Indicator Survey (KAIS 2012) to estimate the prevalence of HIV infection among children aged 18 months to 14 years. METHODS: KAIS 2012 was a nationally representative 2-stage cluster sample household survey. We studied children aged 18 months to 14 years whose parents or guardians answered questions pertaining to their children by interview. Blood specimens were collected for HIV serology and viral load measurement. RESULTS: We identified 5162 children who were eligible for the study. Blood was obtained for 3681 (71.3%) children. Among child participants, 16.4% had been tested for HIV infection in the past, and among children with parents or guardians who self-reported HIV-positive status, 52.9% had been tested for HIV infection. Twenty-eight (0.9%) children tested HIV-positive in the survey. Of these, 11 had been previously diagnosed with HIV infection before the survey. All 11 children were in HIV care and receiving cotrimoxazole; 8 were on antiretorivral therapy (ART). Among those on ART, 4 were virologically suppressed. CONCLUSIONS: HIV causes a substantial burden of disease in the Kenyan pediatric population. Although most children who had been diagnosed with HIV before the survey were engaged in care and treatment, they represented less than half of HIV-infected children identified in the survey. Future efforts should focus on identifying infected children and getting them into care and on suppressive ART as early as possible.

BACKGROUND: Increasing access to care and treatment for HIV-infected persons is a goal in Kenya's response to the HIV epidemic. Using data from the second Kenya AIDS Indicator Survey (KAIS 2012), we describe coverage of services received among adults and adolescents who were enrolled in HIV care. METHODS: KAIS 2012 was a population-based survey that collected information from persons aged 15-64 years that included self-reported HIV status, and for persons reporting HIV infection, use of HIV care and antiretroviral therapy (ART). Blood specimens were collected and tested for HIV. HIV-positive specimens were tested for CD4 counts and viral load. RESULTS: Among 363 persons who reported HIV infection, 93.4% [95% confidence interval (CI): 87.2 to 99.6] had ever received HIV care. Among those receiving HIV care, 96.3% (95% CI: 94.1 to 98.4) were using cotrimoxazole prophylaxis, and 74.6% (95% CI: 69.0 to 80.2) were receiving ART. A lower proportion of persons in care and not on ART reported using cotrimoxazole (89.5%, 95% CI: 82.5 to 96.5 compared with 98.6%, 95% CI: 97.1 to 100) and had a CD4 count measurement done (72.9%, 95% CI: 64.0 to 81.9 compared with 90.0%, 95% CI: 82.8 to 97.3) than persons in care and on ART, respectively. Among persons in care and not on ART, 23.2% (95% CI: 6.8 to 39.7) had CD4 counts ≤350 cells per microliter. Viral suppression was observed in 75.3% (95% CI: 68.7 to 81.9) of persons on ART. CONCLUSIONS: Linkage and retention in care are high among persons with known HIV infection. However, improvements in care for the pre-ART population are needed. Viral suppression rates were comparable to developed settings.

BACKGROUND: Prevention of unplanned pregnancies is a critical element in the prevention of mother-to-child-transmission (PMTCT) of HIV, but its potential has not been fully realized. We assessed the utilization of family planning (FP) and fertility desires among women of reproductive age by HIV status. METHODS: We selected a nationally representative sample of households using a stratified two-stage cluster design and surveyed women aged 15-49 years. We administered questionnaires and examined predictors of current use of FP methods and desire for children among sexually active women with known HIV infection and women who were HIV-uninfected. RESULTS: Of 3,583 respondents, 68.2% were currently using FP and 57.7% did not desire children in the future. Among women who did not desire children in the future, 70.9% reported that they were using FP, including 68.7% of women with known HIV infection and 71.0% of women who were HIV-uninfected. Women with known HIV infection had similar odds of using FP as women with no HIV infection (odds ratio [OR] 1.12, 95% confidence interval [CI] 0.81-1.54). Women with no HIV infection had significantly higher adjusted odds of desiring future children (adjusted OR [aOR] 2.27, 95% CI 1.31 - 3.93) than women with known HIV infection. CONCLUSIONS: There is unmet need for FP for HIV-infected women, underscoring a gap in the national PMTCT strategy. Efforts to empower HIV-infected women to prevent unintended pregnancies should lead to expanded access to contraceptive methods and take into account women's reproductive intentions.