Publications

This study investigates the connection between employee performance in the Trans Nzoia County government and work-life balance. Even though they receive significant funding from the National Treasury and other local sources, the majority of county governments in the nation struggle with employee underperformance, which manifests as failure to meet goals, tardiness, unjustified absences, and inadequate revenue collection. Maslow's Hierarchy of Needs theory, developed by Abraham Maslow, served as the study's main theoretical foundation, and Dawis and Lloyd's Work Adjustment Theory served as its complement. A correlational survey design was used. All 102 members of the Department of Public Service Management in Trans Nzoia County made up the sample size. Primary data were gathered using a questionnaire.  To analyze the gathered data, descriptive and inferential statistics were both employed. As a result of the regression analysis, it was discovered that employee performance was highly impacted by work-life balance (1= 0.309, P value = 0.000–0.05). It was determined that employee performance is impacted by work-life balance. According to the study, county governments in Kenya should create efficient HRM policies to guarantee that work-life balance is welcomed to the point of balancing both the demands of the employee and the employer.

There is limited data on the bleeding safety profile of direct oral anticoagulants, such as rivaroxaban, in low- and middle-income country settings like Kenya. In this prospective observational study, patients newly started on rivaroxaban or switching to rivaroxaban from warfarin for the management of venous thromboembolism (VTE) within the national referral hospital in western Kenya were assessed to determine the frequency of bleeding during treatment. Bleeding events were assessed at the 1- and 3-month visits, as well as at the end of follow-up. The International Society of Thrombosis and Hemostasis (ISTH) and the Bleeding Academic Research Consortium (BARC) criteria were used to categorize the bleeding events, and descriptive statistics were used to summarize categorical variables. Univariate and multivariate logistic regression model was used to calculate unadjusted and adjusted associations between patient characteristics and bleeding. The frequency of any type of bleeding was 14.4% (95% CI: 9.3%-20.8%) for an incidence rate of 30.9 bleeding events (95% CI: 20.1-45.6) per 100 patient-years of follow-up. The frequency of major bleeding was 1.9% while that of clinically relevant non-major bleeding was 13.8%. In the multivariate logistic regression model, being a beneficiary of the national insurance plan was associated with a lower risk of bleeding, while being unemployed was associated with a higher bleeding risk. The use of rivaroxaban in the management of VTE was associated with a higher frequency of bleeding. These findings warrant confirmation in larger and more targeted investigations in a similar population.