ABSTRACT
BACKGROUND: Routine program data indicates positivity rates under 2% from HIV testing services (HTS) at sites supported by Centre for Health Solutions-Kenya in Central Kenya. Achieving the UNAIDS 95:95:95 goals requires continuous identification of people living with HIV in an environment of diminishing resources. We assessed non-clinical and clinical characteristics of persons who tested HIV-positive aimed at improving the process of HTS through Provider-Initiated HIV Testing & Counseling (PITC). METHODS: We conducted a retrospective analysis of routine PITC program data collected between October 2018 and September 2019 from six health facilities located in three counties in central Kenya. Stratification was based on county and facility volume. A multivariable logistic regression model, clustered adjusted for facility using robust standard errors, was used to determine predictors of a positive HIV result. RESULTS: The total sample was 80,693 with an overall positivity rate of 1.2%. Most, (65.5%), were female and 6.1% were < 15 years. Most clients, 55,464 (68.7%), had previously tested for HIV. Client characteristics associated with a higher odds of positivity on multivariable analysis included: being female (adjusted odds ratio [aOR] 1.27, 95% confidence interval [CI] (1.03-1.57); adults 15 years and above compared to children < 15 years, divorced and married polygamous compared to married monogamous [aOR 3.98, 95% CI (2.12-7.29) and aOR 2.41 95% CI (1.48-3.94) respectively]; clients testing for the first time compared to repeat testers in less than 12 months [aOR 1.39, 95% CI (1.27-1.51)]. Similarly, repeat testers in more than 12 months compared to repeat testers in less than 12 months [aOR 1.90, 95% CI (1.55-2.32)]; presumptive TB clients compared to those without signs of TB [aOR 16.25, 95% CI (10.63-24.84)]. Clients tested at inpatient departments (IPD) were more likely to get a positive HIV result compared to those tested at outpatient departments (OPD), and other departments. CONCLUSIONS: The study findings highlight client characteristics such as age, marital status, HIV test entry point, first-time test, repeat test after 12 months, and TB status as factors that could influence PITC results and could be used to develop a screening tool to target eligible clients for HTS in low HIV prevalence settings.
Subject(s)
HIV Infections , Marriage , Adult , Child , Humans , Female , Infant , Male , Kenya/epidemiology , Retrospective Studies , Marital Status , HIV Infections/diagnosis , HIV Infections/epidemiologyABSTRACT
Background: Premature mortality from noncommunicable diseases (NCDs) is a contemporary development challenge. Low-income and lower-middle-income countries are disproportionately affected, with the poorest in society considered the most vulnerable. A paucity of literature exists on how leadership practices at the implementation level relate to ensuring readiness for NCD services. Objective: This study investigated any relationship between leadership practices and readiness for NCD services. Methods: This correlational study investigated any relationship between leadership practices at the county level and readiness for NCD services in Kenya using secondary data from a 2013 Service Availability and Readiness Assessment survey. Correlation and multiple linear regression tests were used to determine the strength and direction of any relationship between leadership practices (annual work planning, therapeutic committees, and supportive supervision), and NCD readiness (county readiness score). Findings: The findings indicated a statistically significant relationship between therapeutic committee (p = .002) and supportive supervision practices (p = .023) and NCD readiness. Leadership practices also had a statistically significant predictive relationship with NCD readiness (p = .009). Conclusion: Health leaders should ensure that leadership practices that have a predictive relationship with NCD readiness, such as therapeutic committee activities and supportive supervision visits, are implemented appropriately. Further, county health leaders should pay particular attention to the implementation of these leadership practices at nonpublic and Tiers 2, 3, and 4 health facilities that had lower NCD readiness scores.
Subject(s)
Noncommunicable Diseases , Health Facilities , Humans , Kenya , Leadership , Mortality, Premature , Noncommunicable Diseases/epidemiology , Noncommunicable Diseases/prevention & controlABSTRACT
Expanded access to HIV treatment services has improved outcomes for children and adolescents living with HIV in Kenya. Minimal data are available on these outcomes. We describe temporal trends in outcomes for children and adolescents initiating antiretroviral therapy (ART) from 2004 to 2014 at sites supported by Centre for Health Solutions-Kenya, in central Kenya. We retrospectively analyzed data from children 0-9 years of age (n = 3,519) and adolescents 10-19 years of age (n = 1,663) living with HIV, who newly initiated ART at 47 health facilities in central Kenya. Year cohorts were analyzed from the Comprehensive Patient Application Database (CPAD) and International Quality Care (IQCare) electronic medical databases, including temporal trends in outcomes and associated factors using multivariable competing risk regression analysis. There were more girls (2,453 [52.7%]) than boys, with most enrolled at World Health Organization (WHO) stage II (1,813 [37.7%]) or III disease (1,694 [35.1%]). Most of the children and adolescents (4,431 [96.4%]) did not have tuberculosis (TB) symptoms. Cumulative lost to follow-up (LTFU) incidence at 6, 12, 24, and 36 months were 5.0%, 9.9%, 22.9%, and 33.1%, respectively. Cumulative mortality incidence at 6, 12, 24, and 36 months were 0.7%, 1.0%, 1.2%, and 1.5%, respectively. The incidence of LTFU was higher among female children and adolescents, those initiated on tenofovir-based regimens, and those with presumptive TB symptoms. Mortality risk was higher among those with WHO stage III or IV disease, and children and adolescents on TB treatment or who had presumptive TB. Enrollment occurred at a young age and pediatric-friendly ART regimens were initiated at earlier WHO stages implying effective early infant diagnosis and treatment for all strategies, resulting in improved treatment outcomes. The higher retention rates in recent years as well as the lower retention after many years of follow-up underscore the importance of implementing longitudinal follow-up strategies targeting this population.
Subject(s)
Anti-HIV Agents , HIV Infections , Tuberculosis , Adolescent , Adult , Anti-HIV Agents/therapeutic use , Child , Female , HIV Infections/diagnosis , HIV Infections/drug therapy , HIV Infections/epidemiology , Humans , Infant , Kenya/epidemiology , Male , Retrospective Studies , Treatment Outcome , Tuberculosis/drug therapy , Tuberculosis/epidemiology , Young AdultABSTRACT
Introduction: Kaposi's sarcoma (KS) is the most common HIV-associated malignancy in Sub Saharan Africa. In 2018, it was the 7th most common cancer and the 10th most common cause of cancer death in Kenya. This study aimed to describe the baseline and clinical characteristics and treatment response observed following combined antiretroviral treatment (ART) and chemotherapy in KS patients. Methods: This was a descriptive analysis of patients aged ≥15 years treated for KS and HIV at 11 treatment hubs in Central Kenya between 2011 and 2014. Data on baseline and clinical characteristics, ART and chemotherapy regimens as well as treatment responses were collected from patient files and KS registers. Results: A total of 95 patients presenting with clinically suspected KS with no history of prior treatment with chemotherapy were reviewed. All had histological diagnostic samples taken with 67 (71%) having confirmed KS. All were on ART, either newly initiated or continuing on ART, and 63 of the 67 (94.0%) confirmed to have KS received chemotherapy. Among the 67 patients with confirmed KS, mean age was 37.2 years (± 13.2) and 40 (59.7%) were male. More than 80% had normal baseline and follow-up BMI, and 34 (50.7%) were on a TDF-based regimen, 52 (77.6%) were treated with the Adriamycin, bleomycin and vinblastine protocol, and 55 (82.1%) had KS diagnosis before HIV diagnosis. All 67 patients had mucocutaneous lesions. Complete, partial response and stable disease occurred in 27 (40.3%), 10 (14.9%) and 7 (10.4%), respectively, 11 (16.4%) defaulted care during treatment, six patients died during treatment, four patients died before treatment while two patients had progressive disease during chemotherapy. Conclusion: The diagnosis of KS preceded HIV in the majority of cases reviewed, with histology helpful to reduce misdiagnosis. Patients generally complied with their chemotherapy, with overall good response rate for this intervention implemented at primary health-care facilities.
ABSTRACT
There are no studies on time to test since notification among identified sexual contacts of HIV-positive index clients using program data in Siaya County and Kenya. We sought to understand time to HIV testing by contact characteristics after identification to inform targeted testing interventions. We retrospectively analyzed data from adult (aged ≥18 years) sexual contacts identified by HIV-positive index clients from 117 health facilities in Siaya County (June 2017-August 2018). We used Chi-square tests to assess for differences in characteristics of contacts by HIV testing. We performed Cox proportional hazards analysis and time to HIV testing of contacts analysis including time-varying covariates (cluster-adjusted by facility) to assess characteristics (age, sex, and relationship to index client) associated with time to HIV-testing since notification. Sexual contacts not tested were right censored at last follow-up date. We calculated hazard ratios with 95% confidence intervals to evaluate characteristics associated with time to testing. Of the 6,845 contacts included in this analysis, 3,858 (56.4%) were men. Most were aged 25-34 years (3,209 [46.9%]). Median time to contact testing was 14.5 days (interquartile range, 2.5-62). On multivariable analysis, contacts aged 18-24 years (aHR, 1.32 [95% CI: 1.01-1.73], p = 0.040) and 25-34 years (aHR, 1.18 [95% CI: 1.01-1.39], p = 0.038) had shorter time to HIV testing than those aged 35-44 years. Married polygamous (aHR, 1.12 [95% CI: 1.01-1.25], p = 0.039) and single contacts (aHR, 1.17 [95% CI: 1.08-1.27], p <0.001) had shorter time to HIV testing than married monogamous contacts. Non-spouse sexual contacts had shorter time to HIV testing than spouses, (aHR, 1.23 [95% CI: 1.15-1.32], p <0.001). We recommend enhanced differentiated partner services targeting older adults, married monogamous, and spouse sexual contacts to facilitate early diagnosis, same day treatment, and prevention in Western Kenya and sub-Saharan Africa at large.
Subject(s)
Contact Tracing , HIV Seropositivity/diagnosis , HIV Seropositivity/transmission , Mass Screening/methods , Sexual Partners , Adolescent , Adult , Female , Follow-Up Studies , HIV Seropositivity/epidemiology , Humans , Kenya/epidemiology , Male , Middle Aged , Probability , Proportional Hazards Models , Regression Analysis , Retrospective Studies , Time Factors , Young AdultABSTRACT
BACKGROUND: The scale-up of HIV treatment programs has resulted in a reduction in HIV-related morbidity and mortality. However, retention of patients in these programs remains a challenge in sub-Saharan Africa. Understanding factors associated with loss to follow-up (LTFU) and mortality outcomes is therefore important to inform targeted program interventions. METHODS: A retrospective multi-cohort analysis of 23,890 adult patients on ART over 36 months of follow-up in Kenya was done. Multivariate logistic regression analysis was done to assess for factors associated with LTFU and mortality at 6, 12, 24, and 36 months of follow-up. RESULTS: Majority, 67.7%, were female. At 36 months, 27.2% were LTFU and 13.5% had died. Factors associated with mortality at 36 months included older age (51 years and above) using 20-35 years as reference [(adjusted odds ratio [aOR], 1.51, 95% confidence interval (CI) 1.23-1.86, p < 0.001], being male (aOR, 1.59, 95% CI 1.39-1.83, p < 0.001), divorced using married as reference (aOR, 1.86, 95% CI 1.56-2.22, p < 0.001), having a body mass index (BMI) score of less than 18.5 kg/m2 using 18.5-24.9 kg/m2 as reference (aOR = 1.79, 95% CI 1.52-2.11, p < 0.001), and, World Health Organization stage III and IV using stage I as the reference (aOR, 1.94, 95% CI 1.43-2.63 and aOR, 4.24, 95% CI 3.06-5.87, p < 0.001 respectively). Factors associated with LTFU at 36 months included being young between 20 and 35 years (aOR, 1.49, 95% CI 1.40-1.59, p < 0.001) using 36-50 years as reference, being male (aOR, 1.19, 95% CI 1.12-1.27, p < 0.001), and being single or divorced using married as reference (aOR, 1.34, 95% CI 1.23-1.45 and aOR, 1.25, 95% CI 1.15-1.36, p < 0.001 respectively). Patients with baseline BMI of less than 18.5 kg/m2 using normal BMI as reference (aOR, 1.68, 95% CI 1.39-2.02, p < 0.001) were also likely to be LTFU. CONCLUSIONS: Factors associated with LTFU and mortality were generally similar over time. Implementation of programs in similar settings should be tailored to gender, age profiles, nutritional, and, marital status of patients to address LTFU. In addition, programs should focus on the care of older patients to reduce the risk of mortality.
Subject(s)
Anti-Retroviral Agents/therapeutic use , HIV Infections/drug therapy , HIV Infections/mortality , Lost to Follow-Up , Adult , Age Factors , Female , Humans , Kenya/epidemiology , Male , Marital Status/statistics & numerical data , Middle Aged , Retrospective Studies , Risk Factors , Sex Factors , Treatment Outcome , Young AdultABSTRACT
Building capacity in implementation science within health programs is dependent on training in theory and practice of epidemiology, statistics, and research in addition to high self-efficacy toward application of training. This article describes a training program providing technical assistance to more than 300 health facilities in Kenya and Tanzania, its evaluation results, and its ability to improve participants' knowledge, competencies, and self-efficacy on data management, analysis, and dissemination among health care professionals. Two months prior to the training, participants (n = 98) were emailed a pre-course survey including 19 questions using a Likert-type response for planning the content of the workshop. Six to 12 weeks after the training, a post-course survey was emailed to all participants. Five different trainings were conducted indicating 5 participant cohorts. The questions posed involved course satisfaction, course impact on knowledge and skills, and self-efficacy in data analysis and utilization. Post-course survey results revealed that the participants had confidence in data analysis, which was significantly different from the pre-test results (0.05 α). Qualitative commentary complemented the findings of the impact of the workshop. Four manuscripts and 13 abstracts have been submitted post training. Results suggest that a short-term training program can achieve immediate gains in data and research self-efficacy among health care professionals. Although increasing self-efficacy is a necessary first step in developing skills, educators should engage in continuing education for sustainable dissemination practices. There is an urgent need to determine the current infrastructure to promote scientific dissemination. This will assist countries to produce better evidence to support their programs, policies, and overall health programs.