Risk Screening Tools Could Potentially Miss HIV-Positive Individuals Who Seek Testing Services: A Secondary Program Data Analysis on the Performance Characteristics of an Adolescent and Adult HIV Risk Screening Tool in Uganda.

Improving HIV testing efficiency saves financial and material resources for health. We conducted a secondary data analysis of routinely collected HIV risk-screening program data in Uganda, from October to November 2019, to determine the performance characteristics of the adolescent and adult HIV risk screening tools in public health facilities. A total of 19,854 clients had been screened for HIV testing eligibility and tested for HIV. The overall positivity rate (cluster-weighted prevalence of HIV) among those screened was 4.5% (95% CI: 4.1-4.8) versus 3.71% (95% CI: 3.06-4.50) among those not screened. The sensitivity and specificity of the risk screening tool were 91% (95% CI: 89-93) and 25% (24.2-26), respectively. With screening, the number needed to test to identify one PLHIV was reduced from 27 to 22. Although risk screening would have led to a 24.5% (4825/19,704) reduction in testing volume, 9.3% (68/732) of PLHIV would have been missed and be misclassified as not eligible for testing. The cost saving per PLHIV identified was minimally reduced by 3% from USD 69 without screening to USD 66.9 with screening. Since the treatment-adjusted prevalence of HIV is dropping globally, overzealous use of risk screening tools to determine who to test or not carries the potential of missing PLHIV due to their limited specificity. We recommend the use of scientifically validated HIV risk screening tools, and a need to explore the use of HIV self-testing as a test for tirage to minimize misclassification of people who seek HIV testing services.

Double burden of malnutrition among women in reproductive Age (15-49 years) in Sierra Leone: a secondary data analysis of the demographic health survey 2019 (SLDHS-2019).

BACKGROUND: The double burden of malnutrition (DBM) is rising globally, particularly in sub-Saharan Africa. In Sierra Leone, the incidence of overweight, obesity (OWOB), and overnutrition among women has sharply increased. This finding accompanies the high incidence of undernutrition, which has been prevalent for decades. This study aimed to determine the prevalence of different malnutrition categories (underweight, overweight, obesity, and overnutrition) and associated factors among women of reproductive age (15-49 years) in Sierra Leone using secondary data analysis of the Sierra Leone Demographic Health Survey of 2019 (SLDHS-2019). METHODS: We conducted secondary data analysis of the SLDHS-2019 of 7,514 women aged 15-49 years. We excluded pregnant, post-natal, lactating, and post-menopausal women. Data was collected using validated questionnaires, and respondents were selected through a multistage stratified sampling approach. A multivariable logistic regression analysis was used to determine factors associated with malnutrition among 15-49-year-old women in Sierra Leone. RESULTS: Among 15-49-year-old women in Sierra Leone, the prevalence of underweight was 6.7% (95%CI: 4.5-8.9%); overweight at 19.7% (95%CI: 17.7-21.7%); obesity was 7.4% (95% CI: 5.2-9.6%); and overnutrition, 27.1% (95%CI: 25.2-29.0%). Women aged 25-34 years were more likely to be underweight (adjusted Odds Ratios, aOR = 1.670, 95%CI: 1.254-2.224; p < 0.001) than those aged 15-24 years; women who were not married were less likely to be underweight (aOR = 0.594, 95%CI: 0.467-0.755; p < 0.001) than married women. Women from the North were less likely to be underweight (aOR = 0.734, 95%CI: 0.559-0.963; p = 0.026) than the East, and those who did not listen to the radio were less likely to be underweight (aOR = 0.673; 95%CI: 0.549-0.826; p < 0.001) than those who did. Overweight was less likely among 25-34 years (aOR = 0.609, 95%CI: 0.514-0.722; p < 0.001) and 35-49 years (aOR = 0.480, 95%CI: 0.403-0.571; p < 0.001) age-groups than 15-24 years; more likely among not married women (aOR = 1.470, 95%CI:1.249-1.730; p < 0.001) than married; less likely among working-class (aOR = 0.840, 95%CI: 0.720-0.980; p = 0.026) than not working-class; most likely in women from the North (aOR = 1.325, 95%CI:1.096-1.602; p = 0.004), and less likely among women from the South (aOR = 0.755, 95%CI: 0.631-0.903; p = 0.002) than the East; less likely among women of middle-wealth-index (aOR = 0.656, 95%CI: 0.535-0.804; p < 0.001), richer-wealth-index (aOR = 0.400, 95%CI: 0.309-0.517; p < 0.001), and richest-wealth-index (aOR = 0.317, 95%CI: 0.234-0.431; p < 0.001) than the poorest-wealth-index; and more likely among women who did not listen to radios (aOR = 1.149; 95%CI:1.002-1.317; p = 0.047) than those who did. The predictors of overweight among women 15-49 years are the same as obesity and overnutrition, except overnutrition and obesity were less likely in female-headed households (aOR = 0.717,95%CI: 0.578-0.889; p < 0.001). CONCLUSION: The prevalence of all categories of malnutrition among women of reproductive age in Sierra Leone is high, affirming a double burden of malnutrition in this study population. Underweight was more likely among the 25-34-year age group than 15-24-year. The predictors of overweight, obesity, and overnutrition were being unmarried/single, residing in the North, and not listening to the radio. There is an urgent need for policymakers in Sierra Leone to design comprehensive educational programs for women of reproductive age on healthy lifestyles and the dangers of being underweight or over-nourished.

The practice of pilot/feasibility studies in informing the conduct of HIV related clinical trials in sub-Saharan Africa: A scoping review.

Introduction: Pilot/feasibility studies represent a fundamental phase of the research process and play a vital role in the preliminary planning of a full size HIV clinical trial. Published HIV clinical trial protocols were reviewed to establish the extent to which the proposed HIV clinical trials are informed by a prior pilot/feasibility study. Methods: The JBI methodology for scoping reviews was followed. Six databases were systematically searched to identify articles for inclusion. Results: Thirty two (32) published HIV study protocols were included. Articles were in the English language and were published in the past 10 years (2011-2020). The review results showed that the majority of HIV-related clinical trials in sub-Saharan Africa were not informed by pilot/feasibility studies. The results further indicated that the number of HIV clinical trials informed by a pilot/feasibility study have been on the increase in the 8 years' period since 2012, a trend that indicates positive uptake of pilot studies in HIV related studies. A few select countries (South Africa, Uganda, Zimbabwe, Malawi and Kenya) comprised more than 70% of all clinical trials that were informed by a pilot/feasibility study, conducted in sub Saharan Africa. Conclusions: Although there is an increasing interest among researchers to integrate pilot/feasibility studies in HIV related research, limited countries in sub-Saharan Africa appear to have embraced this trend. Strategies that can motivate researchers to engage in a culture of incorporating pilot/feasibility studies in HIV related research should be implemented.

Developing and Validating an Effective Pediatric and Adolescent HIV Testing Eligibility Screening Tool for High-Volume Entry Points in Uganda.

INTRODUCTION: Because of low pediatric HIV prevalence, more tests are needed to find 1 HIV-positive child compared with adults. In Uganda, the number needed to test (NNT) to find 1 new HIV-positive child was 64 in outpatient departments (OPDs) and 31 through index testing. We aimed to develop and validate a pediatric (1.5-14 years) screening tool to optimize testing approaches. METHODS: Phase 1 evaluated the performance of 10 screening questions in 14 OPDs using a variable selection algorithm to evaluate combinations of screening questions. Using logistic regression, we identified the number of screening questions with the best predictive accuracy using the receiver operation characteristic curve. Phase 2 validated the proposed tool in 15 OPDs and 7 orphan and vulnerable children programs. We estimated sensitivity, specificity, and NNT accounting for intercluster correlations. RESULTS: A total of 3482 children were enrolled. The optimal model included reported HIV-positive maternal status or 2/5 symptoms (sickly in the last 3 months, recurring skin problems, weight loss, not growing well, and history of tuberculosis). The proposed tool had sensitivity of 83.6% [95% confidence interval (CI): 68.1 to 92.4] and specificity of 62.5% (95% CI: 55.0 to 69.4). The tool was validated in a sample of 11,342 children; sensitivity was 87.8% (95% CI: 80.9 to 92.5) and specificity 62.6% (95% CI: 54.8 to 69.7) across OPDs and community sites. In OPDs, sensitivity was 88.1% (95% CI: 80.8 to 92.8) and specificity 69.0% (95% CI: 61.9 to 75.3). The NNT was 43 (95% CI: 28 to 67) across settings and 28 (95% CI: 20 to 38) for OPD. CONCLUSIONS: This HIV screening tool has high sensitivity and reasonable specificity, increasing testing efficiency and yield for children and adolescents.

Low proportion of women who came knowing their HIV status at first antenatal care visit, Uganda, 2012-2016: a descriptive analysis of surveillance data.

BACKGROUND: HIV testing is the cornerstone for HIV care and support services, including Prevention of Mother to Child Transmission of HIV (PMTCT). Knowledge of HIV status is associated with better reproductive health choices and outcomes for the infant's HIV status. We analyzed trends in known current HIV status among pregnant women attending the first antenatal care (ANC) visit in Uganda, 2012-2016. METHODS: We conducted secondary data analysis using District Health Information Software2 data on all pregnant women who came for ANC visit during 2012-2016. Women who brought documented HIV negative test result within the previous 4 weeks at the first ANC visit or an HIV positive test result and/or own HIV care card were considered as knowing their HIV status. We calculated proportions of women with known current HIV status at first ANC visit, and described linear trends both nationally and regionally. We tested statistical significance of the trend using modified Poisson regression with generalized linear models. For known HIV positive status, we only analyzed data for years 2015-2016 because this is when this data became available. RESULTS: There was no significant difference in the number of women that attended first ANC visits over years 2012-2016. The proportion of women that came with known HIV status increased from 4.4% in 2012 to 6.9% in 2016 and this increase was statistically significant (p < 0.001). Most regions had an increase in trend except the West Nile and Mid-Eastern (p < 0.001). The proportion of women that came knowing their HIV positive status at first ANC visit was slightly higher than that of women that were newly tested HIV positive at first ANC visit in 2015 and 2016. CONCLUSION: Although the gap in women that come at first ANC visit without knowing their HIV positive status might be reducing, a large proportion of women who were infected with HIV did not know their status before the first ANC visit indicating a major public health gap. We recommend advocacy for early ANC attendance and hence timely HIV testing and innovations to promptly identify HIV positive women of reproductive age so that timely PMTCT interventions can be made.