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In this paper, performance of hurdle models in rare events data is improved by modifying their binary component. The rare-event weighted logistic regression model is adopted in place of logistic regression to deal with class imbalance due to rare events. Poisson Hurdle Rare Event Weighted Logistic Regression (REWLR) and Negative Binomial Hurdle (NBH) REWLR are developed as two-part models which use the REWLR model to estimate the probability of a positive count and a Poisson or NB zero-truncated count model to estimate non-zero counts. This research aimed to develop and assess the performance of the Poisson and Negative Binomial (NB) Hurdle Rare Event Weighted Logistic Regression (REWLR) models, applied to simulated data with various degrees of zero inflation and to Nairobi county's maternal mortality data. The study data on maternal mortality were pulled from JPHES. The data contain the number of maternal deaths, which is the outcome variable, and other obstetric and demographic factors recorded in MNCH facilities in Nairobi between October 2021 and January 2022. The models were also fit and evaluated based on simulated data with varying degrees of zero inflation. The obtained results are numerically validated and then discussed from both the mathematical and the maternal mortality perspective. Numerical simulations are also presented to give a more complete representation of the model dynamics. Results obtained suggest that NB Hurdle REWLR is the best performing model for zero inflated count data due to rare events.

BACKGROUND:Hypertension is the leading risk factor for mortality globally. African countries, including Kenya, have a high and rising prevalence of hypertension. Prehypertension is associated with an increased risk of progression to overt hypertension and a higher risk of cardiovascular disease and mortality. Despite this, little is documented on the prevalence and distribution of prehypertension in sub-Saharan Africa. This study sought to estimate the overall burden of prehypertension in Kenyan adults enrolled in a large hypertension control programme, Healthy Heart Africa. The distribution and determinants of prehypertension in the sample were explored as secondary objectives. METHODS:This was a post hoc analysis of cross-sectional data obtained from population-level blood pressure (BP) screening of adults aged ≥18 years in the community and ambulatory care facilities in 17/47 sub-national administrative units in Kenya. All participants with a complete record for systolic and diastolic BP were included. Descriptive analyses were performed for sociodemographic characteristics. Pearson's chi-square test was used to assess differences in categorical variables. Multivariate logistic regression analysis was performed to identify factors independently associated with prehypertension. RESULTS:Of 5,985,185 participant records that were included in the analysis, 34% were men (mean age: 45 [SD 2.9] years). The majority (63%) lived in rural Kenya. The prevalence of prehypertension was 54.5% and that of hypertension was 20.8%. Characteristics that were independently associated with prehypertension (adjusted odds ratio [95% CI]) included male sex (1.23 [±0.0023], p  25 years) and rural residence (1.60 [±0.023], p

Background: Achievement of ISO15189 accreditation demonstrates competency of a laboratory to conduct testing. Three programmes were developed to facilitate achievement of accreditation in low‐ and middle‐income countries: Strengthening Laboratory Management Towards Accreditation (SLMTA), Stepwise Laboratory Improvement Process Towards Accreditation (SLIPTA) and Laboratory Quality Stepwise Implementation (LQSI). Objective: To determine the level of accreditation and associated barriers and facilitators among medical laboratories in the WHO‐AFRO region by 2020. Methods: A desk review of SLIPTA and SLMTA databases was conducted to identify ISO15189‐accredited medical laboratories between January 2013 and December 2020. Data on access to the LQSI tool were extracted from the WHO database. Facility and country characteristics were collected for analysis as possible enablers of accreditation. The chi‐square test was used to analyse differences with level of significance set at <0.05. Results: A total of 668 laboratories achieved accreditation by 2020 representing a 75% increase from the number in 2013. Accredited laboratories were mainly in South Africa (n = 396; 55%) and Kenya (n = 106; 16%), two countries with national accreditation bodies. About 16.9% (n = 113) of the accredited laboratories were registered for the SLIPTA programme and 26.6% (n = 178) for SLMTA. Approximately 58,217 LQSI users were registered by December 2020. Countries with a higher UHC index for access to HIV care and treatment, higher WHO JEE scores for laboratory networks, a larger number of registered LQSI users, with national laboratory policy/strategic plans and PEPFAR‐priority countries were more likely to have an accredited laboratory. Of the 475 laboratories engaged in the SLIPTA programme, 154 attained ≥4 SLIPTA stars (ready to apply for accreditation) and 113 achieved ISO 15189 accreditation, with 96 enrolled into the SLMTA programme. Lower‐tier laboratories were less likely to achieve accreditation than higher‐tier laboratories (7.7% vs. 30%) (p < 0.001). The probability of achieving ISO 15189 accreditation (19%) was highest during the first 24 months after enrolment into the SLIPTA programme. Conclusion: To sustainably anchor quality improvement initiatives at facility level, national approaches including access to a national accreditation authority, adoption of national quality standards and regulatory frameworks are required. [ABSTRACT FROM AUTHOR]

Abstract Background Severe anemia due to Plasmodium falciparum malaria is a major cause of mortality among young children in western Kenya. The factors that lead to the age-specific incidence of this anemia are unknown. Previous studies have shown an age-related expression of red cell complement regulatory proteins, which protect erythrocytes from autologous complement attack and destruction. Our primary objective was to determine whether in a malaria-endemic area red cells with low levels of complement regulatory proteins are at increased risk for complement (C3b) deposition in vivo. Secondarily, we studied the relationship between red cell complement regulatory protein levels and hemoglobin levels. Methods Three hundred and forty-two life-long residents of a malaria-holoendemic region of western Kenya were enrolled in a cross-sectional study and stratified by age. We measured red cell C3b, CR1, CD55, and immune complex binding capacity by flow cytometry. Individuals who were positive for malaria were treated and blood was collected when they were free of parasitemia. Analysis of variance was used to identify independent variables associated with the %C3b-positive red cells and the hemoglobin level. Results Individuals between the ages of 6 and 36 months had the lowest red cell CR1, highest %C3b-positive red cells, and highest parasite density. Malaria prevalence also reached its peak within this age group. Among children ≤ 24 months of age the %C3b-positive red cells was usually higher in individuals who were treated for malaria than in uninfected individuals with similarly low red cell CR1 and CD55. The variables that most strongly influenced the %C3b-positive red cells were age, malaria status, and red cell CD55 level. Although it did not reach statistical significance, red cell CR1 was more important than red cell CD55 among individuals treated for malaria. The variables that most strongly influenced the hemoglobin level were age, the %C3b-positive red cells, red cell CR1, and red cell CD55. Conclusion Increasing malaria prevalence among children >6 to ≤ 36 months of age in western Kenya, together with low red cell CR1 and CD55 levels, results in increased C3b deposition on red cells and low hemoglobin. The strong contribution of age to C3b deposition suggests that there are still additional unidentified age-related factors that increase the susceptibility of red cells to C3b deposition and destruction.