Approved Research This page provides a searchable list of all research protocols that have been reviewed and approved by the Uganda National Council for Science and Technology(UNCST).
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Name Title Nationality Approval Date Expiry Date Field of Science/Classification Trial Type Research Type  
Robert Kalyesubula
ID:
Task Shifting Screening and Measurement of Blood Pressure and Blood Sugars by Community Health Workers for Early Detection and Referral of Hypertension and Diabetes in Rural Uganda.
REFNo: SS821ES

1. To train CHWs in detection, referral, and promotion of continuity for diabetes and
hypertension care among community members in Nakaseke district, Uganda.
2. To assess the ability of trained CHWs to detect and refer patients with diabetes and or hypertension in Nakaseke district.
3. To determine compliance to diabetes and hypertension referral care among community
members in Nakaseke district
 Uganda 2021-05-07 2024-05-07 Social Science and Humanities Non-Clinical Trial Non-degree Award
FREDRICK MAKUMBI
ID:
VACCINATION COVERAGE AND ITS DETERMINANTS AMONG CHILDREN AGED 0 TO 59 MONTHS IN KENYA / UGANDA: A HOUSEHOLD SURVEY
REFNo: HS1391ES

STUDY OBJECTIVES

Broad Objective
The main objective of the baseline and endline surveys is to determine the current status and uptake of immunization services in Living Goods’ focus areas in Kenya and Uganda.
Specific Objectives
The specific objectives of the baseline and endline surveys in Kenya and Uganda are to:
1. Determine the percentage of children (aged 0-59 months) fully vaccinated before and after implementation of the program.
2. Determine the equity or lack thereof in immunization coverage.
3. Assess knowledge, skills (CHWs only) and attitudes of CHWs and caregivers of children aged ≤59 months before and after the intervention.
4. Determine health system factors (stock outs, outreaches, micro-plans, etc.) that facilitate or deter vaccine uptake.

 Uganda 2021-05-07 2024-05-07 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Josephine Namugumya
ID:
TALENT MANAGEMENT IN UNIVERSITIES IN UGANDA
REFNo: SS681ES

1. To examine the relationship between self-organisation and talent management.

2. To examine the relationship between organisational culture and talent management.
3. To examine the relationship between emotional intelligence and talent management.
4. To examine the relationship between adaptability and talent management

5. To examine the relationship
between self-organisation and Adaptability.
6. To examine the relationship between organisational culture and adaptability.
7. To examine the relationship between emotional intelligence and adaptability.
8. To examine the mediating role of adaptability on the relationship between self -organisation and talent management.

9. To examine the mediating role of adaptability on the relationship between organisational culture and talent management.

10. To examine the mediating role of adaptability on the relationship between emotional intelligence and talent management.
 Uganda 2021-05-05 2024-05-05 Social Science and Humanities Degree Award
Ezekiel Mupere
ID: UNCST-2021-R011972
 Pancreatic Enzymes and Bile Acids: A Non-Antibiotic approach to Treat Intestinal Dysbiosis in Acutely Ill Severely Malnourished Children PB-SAM.
REFNo: HS1193ES

General Objective
• To determine whether treatment with pancreatic enzymes or bile acids reduce mortality in acutely ill hospitalized children with severe malnutrition compared to placebo.

Specific Objectives
To determine:
1. Rate and type of SAEs (including readmissions to hospital)
2. Safety: rate of grade 3 or 4 toxicity events whilst receiving investigational products
3. Intestinal function: number of days with diarrhoea during admission.
4. Use of second and third-line antibiotics during admission and readmission
5. Number of days from enrolment to discharge during admission
6. Growth: (MUAC, weight-for-length, length-for-age) to day 60.

 Uganda 2021-05-05 2024-05-05 Medical and Health Sciences Non-degree Award
Engineer  Bainomugisha
ID: UNCST-2023-R005928
 End-to-end Artificial Intelligence (AI) and data systems for targeted surveillance and management of COVID-19 and future pandemics affecting Uganda (COAST)
REFNo: SIR61ES

1.To strengthen data systems for usable and equitable datasets for AI-driven COVID-19 responses and future pandemics

2.To model and evaluate COVID-19 interventions for targeted government responses.

 Uganda 2021-05-05 2024-05-05 Engineering and Technology Non-Clinical Trial Non-degree Award
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