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akimaina

Analysis Team

Recently Published

Selection Predictors of Creating Employment.
This study aims to validate the efficacy of the selection stages and assessments by examining their ability to predict a Fellow’s likelihood of creating employment after the residential intensive phase. Utilizing logistic regression analyses, both unadjusted and adjusted for potential confounders, the research explores the impact of demographic, entrepreneurial competency, and psychometric variables on the likelihood of funding success. Notably, demographic factors, including age, gender, and nationality, did not exhibit significant associations. Entrepreneurial competencies emerged as crucial contributors to funding prospects. A strong Need for Achievement and Need for Autonomy significantly enhanced funding prospects, while proficiency in Working as a High-Performing Team showed an unexpected inverse relationship. The study also delves into psychometric variables, particularly General Mental Ability, revealing nuanced insights that underscore the significance of cognitive dimensions in the funding acquisition process. Despite these findings, it is however essential to acknowledge certain limitations. The study’s retrospective design, focusing on the first two cohorts with a limited sample size, constrains the ability to capture potential evolving trends over subsequent intakes.
Predictive Validity of TI Selection Factors | Cohort I-IV
This research investigates the nuanced dynamics inherent in the JASIRI Talent Investor (TI) program’s selection process, with a primary focus on examining the impact of various assessment stages on its overall effectiveness. Key objectives involve correlating each selection stage with various productivity measures, including advancement to the venture stage, individual team changes, and attendance rates. Employing a retrospective multivariate analysis spanning four program intakes, the study adheres to a robust methodology with statistical adjustments for potential confounders. Findings illuminate substantial variations in success outcomes across cohorts, underscoring the imperative for cohort-specific insights in refining the selection strategy. Additionally, the analysis identifies predictors influencing attendance rates, team movements, and venturing, offering nuanced insights into factors shaping participant engagement and entrepreneurial success within the program.
wec-ke-4
wec-ke-4
Predictive Validity of CPP | Cohort I, II, & III
This study examines the effectiveness of utilizing the Cognitive Process Profile (CPP) in the recruitment and selection process of the JASIRI Talent Investor (TI) program. Logistic regression models were used to analyze predictors of attendance rates, proceeding to the venture stage, and individual team movements. The findings demonstrate that CPP assessments offer significant value in identifying candidates with high potential for entrepreneurial success within the program. Incorporating CPP assessments can improve the overall success rate of the TI program. Further research is needed to validate these findings and explore long-term impacts.
Predictors of Reengaging with the Wavumbuzi Entrepreneurship Challenge | Iteration 1, 2 and 3
This study examines the factors influencing re-engagement in the Wavumbuzi Entrepreneurship Challenge, a platform aimed at fostering entrepreneurial skills among young participants. Using a comprehensive dataset of 8,330 users, a series of analyses were conducted to identify the predictors of sustained engagement. The results indicate that age, gender, number of submissions, points earned, challenge points, other points, average points per week, average review score, number of finalizations, average number of seconds until finalization, login count, leaderboard all rank, password requests, school grade, and leaderboard school rank significantly impact re-engagement. Older participants and females were more likely to sustain their engagement, highlighting the need for tailored strategies to support diverse age groups and empower women in entrepreneurship challenges. Active participation, achievement, and performance-related metrics positively influenced re-engagement, emphasizing the importance of feedback, recognition, and a competitive environment. Technical difficulties negatively affected re-engagement, underscoring the significance of efficient technical support. While school grade and leaderboard school rank initially showed associations, these effects were confounded by other variables. These findings offer insights for designing effective interventions and strategies to enhance participant re-engagement in entrepreneurship challenges. Future research should explore additional factors to gain a more comprehensive understanding of participant engagement.
Predictors of Reengaging with the Wavumbuzi Entrepreneurship Challenge | Iteration 1 and 2
This study examines the predictors of learner re-engagement in an online educational platform. The analysis is based on a dataset collected over a two-year period, encompassing users from Kenya and Rwanda. Logistic regression models were utilized to assess the associations between various demographic and engagement variables and the likelihood of re-engagement. The findings indicate that gender, accumulation of points, active participation in challenges, and password change requests significantly influence re-engagement rates. Additionally, country-specific differences in re-engagement rates were observed. The results suggest the importance of targeted interventions to address gender disparities, enhance engagement through gamification strategies, and understand the motivations and barriers related to account accessibility. These findings have implications for educational practitioners, platform designers, and policymakers seeking to improve learner engagement in online educational settings. However, further research is needed to explore additional predictors and contextual factors that may impact re-engagement rates.
Predictors of Reengaging with the Wavumbuzi Entrepreneurship Challenge | Iteration 2 and 3
This study examines the predictors of learner re-engagement in an online educational platform. The analysis is based on a dataset collected over a two-year period, encompassing users from Kenya and Rwanda. Logistic regression models were utilized to assess the associations between various demographic and engagement variables and the likelihood of re-engagement. The analysis included variables such as age, gender, submission activity, points earned, account setup features, school grade, and country. Our findings revealed several key insights. First, gender disparity was observed, with males exhibiting a higher likelihood of re-engagement compared to females. This highlights the importance of addressing gender-related differences in engagement strategies. Second, active participation, as measured by the number of submissions, positively influenced re-engagement, emphasizing the significance of encouraging users to contribute actively to the platform. Third, while the quantity of points earned did not significantly predict re-engagement, the average review score had a positive impact, indicating the importance of quality feedback and recognition from the community. Moreover, user account setup features played a role in re-engagement, with users who set up their accounts on a mobile device or with a school affiliation demonstrating a higher likelihood of re-engagement. This suggests the need to optimize mobile user experience and establish partnerships with educational institutions. Country-specific dynamics were also evident, with users from Rwanda showing a lower likelihood of re-engagement compared to users from Kenya. The study found no significant association between age and re-engagement, highlighting the need for further research to explore age-related factors in different demographic contexts. Additionally, variables related to points earned, such as challenge points and other points, had limited impact on re-engagement. These findings have implications for educational practitioners, platform designers, and policymakers seeking to improve learner engagement in online educational settings. However, further research is needed to explore additional predictors and contextual factors that may impact re-engagement rates.
Changes in Recovery and Independence in Patients Living with Severe Mental Illness
Mental illness is common in Kenya with an estimated lifetime prevalence of 45% in some studies. People living with severe mental illness (SMI) in Kenya encounter significant barriers to managing their illnesses including lack of knowledge about their illness, stigma, lack of mental healthcare infrastructure, and to the costs of accessing care. Inpatient services exist to stabilize patients with acute exacerbations from their disease, and limited outpatient clinics can help patients access ongoing care. However, the barriers described above and lack of capacity in the outpatient clinics makes it difficult for people living with SMI to live economically and emotionally stable lives in their community. In August 2021, Moi Teaching and Referral Hospital in collaboration with Indiana University and the Astellas Global Health Foundation, opened the MTRH Nawiri Recovery and Skills Centre (Nawiri) - the first psychiatric rehabilitation center in Kenya for people living with SMI. Nawiri (a Swahili word which means to glow or to thrive) offers a psychiatric rehabilitation curriculum on an inpatient and outpatient basis including Illness Management and Recovery, family therapy, and vocational skills/business training. This study will use a retrospective evaluation of care program records at MTRH Nawiri using a pretest/posttest design and interrupted time series design to assess changes in independence, recovery, and engagement in ongoing mental health care from admission to Nawiri to 6 months post-discharge.
AGEC-RW-Pre-Post Analysis
The study was a **Pretest–Posttest** experimental design, where measurements were taken prior to administering some treatment, followed by a posttest on the same measure after treatment occurs.
Mdundo Re-Engagement RCT
This experiment will be a prospective case-control trial study involving subscribers acquired in the last 90 days. The intervention group will be a random set of subscribers in each of the ten RFM segments. On the other hand, the control group will be a random sample of disengaged subscribers who are in the database and NOT part of the treatment cohort, i.e., cases acquired prior to the last 90 days. The results of this experiment will have far-reaching implications for our company and will play a critical role in shaping our engagement strategies going forward.
The Talent Investor I & II - Predictive Validity of CPP
The question we aim to address in this study is whether the use of psychometrics, specifically the Cognitive Process Profile (CPP), is adding significant value to the recruitment and selection process for the JASIRI Talent Investor (TI) program. As the cost of these assessments can be substantial, it is important to evaluate their effectiveness in helping the organization identify the most suitable candidates from a large pool of potential applicants.
UHC Pre-post / RCT
The objective of this study is to provide pre-post data on UHC to inform the Busia UHC pilot. The main objective is to measure the impact of the UHC pilot in Bunyala sub-County on health service delivery, healthcare utilization, perceptions of healthcare quality in the public sector and household health spending.
IMPACT OF MULTIDISCIPLINARY TUMOR BOARD ON GYNECOLOGIC CANCER CARE AT MOI TEACHING AND REFERRAL HOSPITAL, ELDORET-KENYA
IMPACT OF MULTIDISCIPLINARY TUMOR BOARD ON GYNECOLOGIC CANCER CARE AT MOI TEACHING AND REFERRAL HOSPITAL, ELDORET-KENYA
CLINICOPATHOLOGICAL CHARACTERISTICS AND TREATMENT OUTCOMES OF CERVICAL CANCER AT MOI TEACHING AND REFERRAL HOSPITAL: A 10 YEAR REVIEW
CLINICOPATHOLOGICAL CHARACTERISTICS AND TREATMENT OUTCOMES OF CERVICAL CANCER AT MOI TEACHING AND REFERRAL HOSPITAL: A 10 YEAR REVIEW
HEALTH INFORMATION SOURCES AND NEEDS FOR CERVICAL CANCER PATIENTS ON FOLLOW-UP AT MOI TEACHING AND REFERRAL HOSPITAL, ELDORET, KENYA.
HEALTH INFORMATION SOURCES AND NEEDS FOR CERVICAL CANCER PATIENTS ON FOLLOW-UP AT MOI TEACHING AND REFERRAL HOSPITAL, ELDORET, KENYA.
Effects of repeating the Wavumbuzi Entrepreneurship Challenge on Engagement
The purpose of this research report is to present findings about the effects of repeating the Wavumbuzi Entrepreneurship Challenge (hereafter referred to as WEC). WEC is a free annual 6-weeks online challenge offered to learners in all secondary/ high schools across Kenya and Rwanda. It is a gamified experiential learning process designed to equip learners with competencies to be the next generation of global leaders, change-makers and innovative thinkers. Focusing on entrepreneurship (as a widely recognised countermeasure to unemployment), the Entrepreneurship Challenge is designed to stimulate and develop the entrepreneurial mindset and 21st Century Skills of learners.
Wavumbuzi Peer Review Algorithm Audit
The purpose of this research report is to provide audit results of the peer-review algorithm of the Wavumbuzi Entrepreneurship Challenge (hereafter referred to as WEC) game web-app. WEC is a free annual 6-weeks online challenge offered to learners in all secondary/ high schools across Kenya.
Busia UHC Index
Busia UHC Index
Causal Inference
Causal Inference:
Cancer incidences and prevalences 2000 to 2020
The main objective of this study/analysis is to assess the incidence and prevalence of different cancer types from 2000 to 2020
The Talent Investor II | Selection Analysis
The main objective of this analysis is to descriptively assess correlates or mechanisms of low selection rate inherent in RW applicants, across the 4 stages.
ERC
Western Kenya Cancer Statistics
PREVALENCE OF UNDIAGNOSED DIABETES MELLITUS
PREVALENCE OF UNDIAGNOSED DIABETES MELLITUS AND ITS DETERMINANTS AMONG PATIENTS PRESENTING FOR ELECTIVE SURGERY AT MOI TEACHING AND REFERRAL HOSPITAL, ELDORET KENYA
Agec Pre-Post
* The study was a **Pretest–Posttest** experimental design, where measurements were taken prior to administering some treatment, followed by a posttest on the same measure after treatment occurs. * The baseline (pre-test) sample was tested before exposure to the WEC and consisted of **1 504 usable surveys** filled by highschool learners from over 200 schools spanning over **40 counties in Kenya**. *
Busia MNCH / ANC
Bunyala baseline MNCH indicators that was performed in 2021
Wavumbuzi
Wavumbuzi Partner Analysis
Social Solidarity | Multivariate
Social Solidarity | Multivariate
Social Solidarity
NHIF Social Solidarity
UHC
The objective of this study is to provide baseline data on UHC to inform the Busia UHC pilot. We plan to repeat this survey in future as funds become available in order to measure the impact of the UHC pilot in Bunyala sub-County on health service delivery, healthcare utilization, perceptions of healthcare quality in the public sector and household health spending.
Wavumbuzi BHAG
To extrapolate/forecast the expected number of high school students per country from 2021 to 2030, we are going to utilize ARIMA forecasting modeling approach. ARIMA is an acronym that stands for AutoRegressive Integrated Moving Average.
KHFA / SARA service readiness
KHFA / SARA service readiness
PATIENT LOYALTY
STRATEGIC LEADER ATTRIBUTES, HEALTHCARE SYSTEM CAPACITY, PATIENT-PROVIDER RELATIONAL DYNAMICS, AND PATIENT LOYALTY TO HIV CARE IN AN HIV FACILITY IN ELDORET KENYA
Felishana
STRATEGIC LEADER ATTRIBUTES, HEALTHCARE SYSTEM CAPACITY, PATIENT-PROVIDER RELATIONAL DYNAMICS, AND PATIENT LOYALTY TO HIV CARE IN AN HIV FACILITY IN ELDORET KENYA
Blood Glucose Analysis
Blood Glucose Analysis