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  
Pius Nyikirize
ID: UNCST-2024-R016279
 Assessing the Data and Information Management Capacity of the Uganda Nurses and Midwives Council.
REFNo: HS5690ES

To examine the relationship between system quality, information quality, and service quality and their impact on perceived usefulness and perceived ease of use of the Uganda Nurses and Midwives Council’s data management system.

To identify the strengths and weaknesses in the data management system and processes at the Uganda Nurses and Midwives Council and make recommendations for improvement.

 Uganda 2025-04-24 10:46:02 2028-04-24 Medical and Health Sciences Non-Clinical Trial Non-degree Award
Namaganda Rehema Rehema
ID: UNCST-2024-R005390
 Understanding Older Persons' experiences with the Senior Citizen Grant (SCG) and Its implications on Care and Social Protection in Uganda
REFNo: SS3579ES

1. To analyse how the utilisation of the senior citizen grant (SCG) influences the overall care for the elderly, including their access to healthcare services.
2. Assess the impact of senior citizen grant on existing care relationships and dynamics between the state, family, community and older persons benefiting from the grant.
3. To explore how experiences of older persons receiving the senior citizen grant can inform and shape social protection policies in Uganda

 Uganda 2025-04-24 10:33:06 2028-04-24 Social Science and Humanities Non-Clinical Trial Non-degree Award
Vicent Mabirizi
ID: UNCST-2023-R006965
 A Convolutional Neural Network Model for Processing DICOM Files
REFNo: SIR495ES

To test and validate the accuracy of the developed model for processing DICOM files for image classification.,To develop a convolutional neural network model for processing DICOM files for image classification,To explore how deep learning techniques have been applied to process DICOM files for image classification,To improve the detection and classification of DICOM images,
 Uganda 2025-04-24 10:22:37 2028-04-24 Engineering and Technology Non-Clinical Trial Degree Award
Eve  Namisango
ID: UNCST-2021-R014038
 A RANDOMISED CONTROLLED TRIAL TO EVALUATE THE EFFECTIVENESS OF A NURSE-LED PALLIATIVE CARE INTERVENTION FOR PEOPLE WITH HEART FAILURE IN UGANDA IN TERMS OF PATIET-REPORTED OUTCOMES
REFNo: SS3641ES

To determine patients and healthcare professional views regarding the processes, mechanisms and outcomes of the intervention.,To test the effectiveness of the nurse-led palliative care intervention among heart failure patients compared to existing care in an RCT design in terms of patient-reported outcomes.,To use findings from scoping review to generate a nurse-led palliative care intervention underpinned by the theory of person-centredness care. ,To evaluate the effectiveness of a nurse-led palliative care intervention for adult heart failure patients in Uganda on patient-reported outcomes, compared to usual care. ,
 Uganda 2025-04-24 10:20:58 2028-04-24 Social Science and Humanities Non-Clinical Trial Non-degree Award
Neil Scolding
ID: UNCST-2021-R012864
 Acute Flaccid Myelitis in Uganda
REFNo: HS5294ES

1. To conduct a nationwide pilot study of Acute Flaccid Myelitis to gain insights into its frequency, clinical and radiological features and virological background in a Uganda setting.
2. To develop a nationwide clinical research network allowing collaborative medical research across Uganda and boosting research activity.

 UK 2025-04-11 17:38:16 2028-04-11 Medical and Health Sciences Non-Clinical Trial Non-degree Award
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