Fred Okuku Machyo
ID:
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EVALUATING THE INTEGRATION OF PEGFILGRASTIM FOR THE MANAGEMENT OF CHEMOTHERAPY-INDUCED FEBRILE NEUTROPENIA AT THE UGANDA CANCER INSTITUTE
REFNo: HS8034ES
1. To assess the feasibility and uptake of pegfilgrastim prophylaxis among eligible adult chemotherapy patients at UCI, including reach, fidelity, and vial utilization patterns.
2. To compare clinical outcomes, specifically FN incidence, infection-related hospitalizations, and chemotherapy dose delays or reductions, between pegfilgrastim recipients and historical cohorts managed without routine G-CSF prophylaxis.
3. To document baseline filgrastim prescribing patterns, dosing practices, and associated clinical outcomes prior to pegfilgrastim integration.
4. To evaluate healthcare workers’ knowledge, attitudes, and perceptions regarding FN prevention and the comparative use of pegfilgrastim versus filgrastim.
5. To identify system-level, provider-level, and process-level barriers and facilitators influencing pegfilgrastim implementation and long-term sustainability within UCI.
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Uganda |
2026-07-09 19:40:59 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Joan Busingye
ID: UNCST-2026-R026289
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COGNITIVE BEHAVIORAL INTERVENTIONS AND PATIENT RECOVERY AMONG INDIVIDUALS WITH MENTAL ILLNESS. A CASE OF SELECTED HOSPITALS IN CENTRAL UGANDA
REFNo: SS5507ES
1. To determine the influence of cognitive interventions on patient recovery among individuals with mental illness in selected hospitals in Central Uganda.
2. To assess the effect of emotional interventions on patient recovery among individuals with mental illness in selected hospitals in Central Uganda.
3. To examine the influence of behavioral interventions on patient recovery among individuals with mental illness in selected hospitals in Central Uganda.
4. To evaluate the moderating effect of patient-related factors (age, gender, diagnosis, duration of illness, treatment adherence, and cultural beliefs) on the relationship between cognitive behavioral interventions and patient recovery in selected hospitals in Central Uganda.
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Uganda |
2026-07-09 19:38:45 |
2029-07-09 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
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Hannah Kibuuka
ID: UNCST-2020-R014355
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Development of a Rapid Fieldable Nanopore Sequencing-based Prognostic and Diagnostic Assay to Advance Clinical Management Decision-Making
REFNo: HS7987ES
- Verify harmonized sample preparation workflow from archived biospecimens for the integrated pathogen diagnostic and host-response assay that is run on the INSPIRE device
- Verify functionality of integrated software and hardware required for the INSPIRE device on archived biospecimens
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Uganda |
2026-07-09 19:37:11 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Patrick ALUKU
ID: UNCST-2026-R025007
|
DETERMINANTS OF MARKET ACCESS FOR SMALLHOLDER HORTICULTURE FARMERS IN MBALE DISTRICT: A CASE STUDY OF ONION AND CARROT PRODUCERS IN WANALE SUB-COUNTY...
REFNo: A803ES
This study aims to examine the determinants of market access for smallholder horticulture farmers
in Mbale district: a case study of onion and carrot producers in Wanale Sub-County.
Specific objectives:
The study aims to achieve the following objectives:
1. To assess the effect of market infrastructure on market access for smallholder horticulture
farmers in Wanale Sub-county.
2. To examine the effect of institutional support on market access for smallholder horticulture
farmers in Wanale Sub-county.
3. To determine the effect of transaction costs on market access for smallholder horticulture
farmers in Wanale Sub-county.
4. To find out the other factors affecting market access for smallholder horticulture farmers in
Wanale Sub-county.
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Uganda |
2026-07-09 19:36:00 |
2029-07-09 |
Agricultural Sciences |
Non-Clinical Trial |
Degree Award |
.JPG)
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Adalbert Aineomucunguzi
ID:
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Conservation Research to Monitor Grey Crowned Cranes in Uganda through Colour Band Ringing and Aerial Surveys
REFNo: NS1291ES
1. To establish a standardized crane ringing program by fitting ELSA colour rings on 20 Grey Crowned Crane chicks annually over a five-year period.
2. To track and document movement patterns and habitat use of colour-marked cranes across breeding, foraging, and dispersal landscapes.
3. To estimate survival rates and recruitment of juvenile cranes through periodic resighting of marked individuals.
4. To generate baseline biological and ecological data (including morphometrics) to address key knowledge gaps in the species’ life cycle.
5. To strengthen evidence-based conservation planning and adaptive management for Grey Crowned Crane populations in Uganda.
6. Provide data on Grey Crowned Crane populations and their distribution in Uganda
7. Advance our understanding of landscape use (particularly agriculture) and its influence on size and distribution of crane populations
8. Identify areas where the potential exists for crane conservation interventions
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Uganda |
2026-07-09 19:34:31 |
2029-07-09 |
Natural Sciences |
Non-Clinical Trial |
Non-degree Award |
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muyunga ashiraf
ID: UNCST-2025-R021888
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CUSTOMARY LAND DISPUTES ADJUDICATION AND TENURE SECURITY IN UGANDA: A CASE STUDY OF ACHOLI SUB REGION
REFNo: SS5467ES
a)To examine the legal and institutional framework governing customary land tenure
adjudication in Uganda and its applicability to the Acholi context.
b) To examine the jurisprudential approaches and evidentiary standards adopted by
superior courts in the adjudication of customary land disputes in the Acholi sub-region.
c) To assess the impact of formal judicial outcomes on tenure security within the plural
adjudicatory context of the Acholi sub-region
d) To propose legal and institutional reforms for strengthening the adjudication of
customary land disputes and tenure security based on findings from the Acholi subregion.
|
Uganda |
2026-07-09 19:33:37 |
2029-07-09 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
|
Bashemera Birungi Brenda
ID: UNCST-2025-R021775
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A Deep Learning Framework for Stroke Biomarker Detection and Prediction of Post Stroke Epilepsy in Brain CT Scans
REFNo: SIR712ES
1.Collect and curate brain CT scan image datasets.
2. Develop a deep learning segmentation model to detect stroke biomark-
ers.
3. Develop a deep learning prediction model to predict the likelihood of
Post Stroke Epilepsy (PSE) to a high degree of accuracy.
4. Develop Large Language Models (LLM) to provide clinical reports
from the deep learning models for stroke segmentation and post-stroke
epilepsy prediction.
|
Uganda |
2026-07-09 19:30:44 |
2029-07-09 |
Engineering and Technology |
Non-Clinical Trial |
Degree Award |
|
GRACE KANSIIME
ID: UNCST-2019-R000380
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POPULATION-BASED EVALUATION OF THE EPIDEMIOLOGY OF NON-COMMUNICABLE DISEASES AND SOCIOCULTURAL CONTEXT AMONG ADULTS OF TWO RURAL POPULATIONS IN UGANDA.
REFNo: HS7934ES
To build a cohort platform of adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda, with linkage to routinely collected clinical and/or medico-administrative data at the health centre to answer pertinent research questions about NCDs. ,To determine the trends in prevalence and incidence of Diabetes Mellitus and Hypertension among the cohort participants in among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda.,To document the sociocultural determinants of health to inform the development of community-led strategies for health promotion and improved quality of life among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda. ,To determine the burden of known risk factors such as obesity, lifestyle, smoking and diet, associated with Diabetes Mellitus and Hypertension among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda.,.To determine the prevalence of Diabetes Mellitus and Hypertension and examine associated sociocultural factors among the adults living in Rubirizi Town Council in Rubirizi District in Southwestern Uganda and Kabwangasi subcounty in Butebo District in Eastern Uganda.,
|
Uganda |
2026-07-09 19:26:55 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Raymond Alinetu
ID: UNCST-2025-R022600
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PREVALENCE AND PREDICTORS OF TIME-TO-DISPOSITION AMONG ROAD TRAFFIC ACCIDENT PATIENTS AT THE EMERGENCY DEPARTMENT OF MBARARA REGIONAL REFERRAL HOSPITAL
REFNo: HS7584ES
To determine the mean time-to-disposition, identify its predictors, and assess its association with early clinical outcomes among adult road traffic accident patients at the Emergency Department of Mbarara Regional Referral Hospital
1) To determine the mean time-to-disposition and the prevalence of prolonged time-to-disposition (exceeding 4 hours) among adult road traffic accident patients at the Emergency Department of Mbarara Regional Referral Hospital.
2) To identify the patient-related factors (e.g., age, injury severity, impairment), attendant-related factors (e.g., presence, relationship, decision-making capacity), and system-level factors (e.g., staffing, diagnostic service availability, time of arrival) that predict prolonged time-to-disposition among adult road traffic accident patients at the Emergency Department of Mbarara Regional Referral Hospital.
3) To determine the association between time-to-disposition and early clinical outcomes (recovery status and survival at ED disposition) among adult road traffic accident patients at Mbarara Regional Referral Hospital
|
Uganda |
2026-07-09 19:24:38 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
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Moffat Nyirenda Joha
ID: UNCST-2020-R019333
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Longitudinal Study of Oculomics in the General Population Cohort, Uganda Africa Oculomics Research Programme
REFNo: HS7940ES
Primary Objective:
Our vision is to unlock the potential of Oculomics to better understand, diagnose and predict non-communicable disease (NCDs), to improve health outcomes and equity for African populations.
Secondary Objectives:
1. Establish prospective ocular imaging and NCD phenotyping studies, nested within the existing General Population Cohort in Uganda.
2. Optimise artificial intelligence (AI) foundation models for ocular image analysis for this African population, and to fine-tune these models to detect several different systemic conditions.
3. Investigate cross-sectional and longitudinal associations between ocular biomarkers and major NCDs, to determine the diagnostic, prognostic and predictive potential of oculomics for these conditions.
4. Assess the prevalence, incidence, progression and risk factors for common ophthalmic conditions.
5. Report the long-term incidence, progression and risk factors for major NCDs (including CVD, Renal disease, liver disease, mental health, neurological conditions and musculoskeletal impairment).
|
Malawi |
2026-07-09 19:22:22 |
2029-07-09 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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