Harriet Birabwa-Oketcho
ID:
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FORMAL AND ALTERNATIVE CARE SERVICES FOR SEVERE MENTAL ILLNESS: AN EXPLORATIVE PHASED MIXED METHODS STUDY MAPPING PATTERNS AND PERSPECTIVES ON USE AND COLLABORATION
REFNo: HS3616ES
1. To determine the patterns of use of AHCPs among patients with severe mental illness.
2. To determine factors associated with use of AHCPs among patients with severe mental illness.
3. To explore perspectives of persons with severe mental illness and their caregivers regarding use of AHCPs and formal healthcare.
4. To explore perspectives of health care personneland AHCPs regardinguse offormal service providers and the AHCPs.
5. To explore perspectives of health care personnel and AHCPs regarding collaboration between formal service providers and the AHCPs.
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Uganda |
2024-03-14 18:34:15 |
2027-03-14 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Charles Halerimana
ID: UNCST-2023-R006835
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EFFECT OF VEGETAL DIVERSIFICATION AT THE LANDSCAPE AND PLOT SCALES ON THE POPULATION DYNAMICS OF MAJOR ROBUSTA COFFEE PESTS AND THEIR NATURAL ENEMIES IN UGANDA
REFNo: A375ES
1. To determine the effect of landscape structure (composition and configuration of land use cover) on the dynamics of CBB, BTB and their natural enemies.
2. To determine the effect of plot vegetal diversity (shading system, shade trees diversity, functional traits of the trees) and farm management practices on the dynamics of CBB, BTB and their natural enemies.
3. To decipher the effect of the plot structure and the farm management practices on the multi-pests profile and quantify the interactions between the pests (multi-pest approach)
4. To rank the individual and joint effects of vegetal diversification at each spatial scale (within the plot and between plots) on pests dynamics and natural enemies’ populations.
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Uganda |
2024-03-14 18:30:01 |
2027-03-14 |
Agricultural Sciences |
Non-Clinical Trial |
Degree Award |
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Pontiano Kaleebu
ID: UNCST-2020-R019901
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Field Performance Evaluation of the TrinScreen™ HIV rapid test kit
REFNo: HS3878ES
1. To describe the performance (sensitivity and specificity) of the TrinScreen™ rapid test, when compared to the national testing algorithm.
2. To describe the performance (sensitivity and specificity) of the TrinScreen™ rapid test compared to the reference testing (Genscreen ULTRA HIV1/2 Ag/Ab EIA followed by the Murex diasorin HIV1/2 Ag/Ab combination).
3. Estimate the proportion of inconclusive test results by Trinscreen™
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Uganda |
2024-03-14 12:38:09 |
2027-03-14 |
Medical and Health Sciences |
Clinical Trial |
Non-degree Award |
|
Clare NAKAZIBWE
ID:
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The Systemic Analysis of Disability Support Infrastructures in Humanitarian Context with Specific Focus on Ugandan Refugee Settlements
REFNo: SS2419ES
What formal and informal emotional supports are available to persons with disabilities and their caretakers in Uganda’s refugee settlements?
What formal and informal instrumental (tangible) supports are available to persons with disabilities and their caretakers in Uganda’s refugee settlements?
What formal and informal informational supports are available to persons with disabilities and their caretakers in Uganda’s refugee settlements?
What formal and informal companionship supports are available to persons with disabilities and their caretakers in Uganda’s refugee settlements?
|
Uganda |
2024-03-14 12:34:59 |
2027-03-14 |
Social Science and Humanities |
Non-Clinical Trial |
Non-degree Award |
|
Martha Mulerwa
ID:
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KINEMATICS OF THE INTACT WRIST DURING REAL-WORLD ACTIVITIES OF DAILY LIVING RELEVANT TO PERSONS WITH UPPER LIMB ABSENCE IN LOW-AND-MIDDLE-INCOME-SETTINGS, TO INFORM THE DESIGN OF A PASSIVE WRIST PROSTHESIS
REFNo: SIR292ES
To determine how the DoF(s) relate to each other during the performance of ADLs (whether a change in one DoF leads to a proportional change in another).,To explore the wrist orientations at key positions during the performance of ADLs.,To determine which wrist DoF (s) are commonly involved during the performance of ADLs of relevance to persons with ULA in LMIS and the range of motion associated with each. ,The general objective of this study is to capture the kinematics of the healthy human wrist and forearm during the performance of ADLs relevant to PWULA in LMIS. The kinematics will guide a design specification for a functional passive wrist prosthesis suitable for these settings,
|
Uganda |
2024-03-14 12:32:22 |
2027-03-14 |
Engineering and Technology |
Non-Clinical Trial |
Degree Award |
|
Herbert Aguma Bush
ID:
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A Community Survey on Substandard and Falsified Medicines, and Global Point Prevalence Survey in Central Uganda
REFNo: HS3736ES
6. To determine the quality of antimicrobial prescribing in relation to standard treatment guidelines in both the inpatient and outpatient settings as identified through point prevalence surveys ,5. To assess the patterns of antimicrobial prescribing in the inpatient and outpatient selected health facilities through point prevalence surveys. ,4. To determine the prevalence of antimicrobial use in the inpatient and outpatient selected health facilities through point prevalence surveys.,3. To investigate the practices of community members with regards to the acquiring and use of medicines.,2. To identify the attitudes of community members towards substandard and falsified medicines.,1.To determine the level of knowledge regarding substandard and falsified medicines among community members.,To assess knowledge, attitudes and practices of community members regarding substandard and falsified medicines; and to determine the prevalence and assess the patterns of use of antimicrobials and characterize antimicrobial prescription, dispensing and administration at selected health facilities in Central Uganda,
|
Uganda |
2024-03-14 12:30:32 |
2027-03-14 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
LOYCE NAKALEMBE
ID:
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An Assessment of cuscuta species prevalence, phytochemical composition and impact of the plant on agro-forestry in Uganda.
REFNo: HS3715ES
Determine the cuscuta species prevalence, phytochemical composition and impact of the plant on agro-forestry in Uganda
|
Uganda |
2024-03-14 12:26:55 |
2027-03-14 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Lydia Nakiyingi
ID: UNCST-2022-R010102
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Evaluation of a Diagnostic Algorithm for Peripheral Lymph Node Tuberculosis involving a portable Thermal Images station with a Mobile-App
REFNo: HS3494ES
• To assess the economic value of implementing combine thermal imaging and mobile TB lab for point-of-need diagnosis of LNTB,II. To determine the diagnostic efficacy of a rapid DNA extraction and pocket-sized isothermal amplification method operated via smart phone for detecting LNTB,I. To evaluate the diagnostic performance of portable thermal imaging system for point-of-need identification of Lymph node TB,
|
Uganda |
2024-03-14 12:25:07 |
2027-03-14 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
|
Justine Bukenya Nnakate
ID: UNCST-2021-R012503
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Feasibility of a salon-based integrated digital intervention for promoting uptake of self-care oriented family planning methods in Mayuge district
REFNo: HS3611ES
3) Assess the utilization of a salon-based, integrated digital communication tool in promoting uptake self-care FP methods to meet the user needs ,2) Examine the acceptability of the digital communication tool by women, salon owners, and FP providers ,1) Explore perceptions towards the use of a digital communication tool integrated with salon services in promoting FP use among salon workers and women seeking beauty-care services ,To assess the feasibility of implementing a salon-based, integrated digital intervention to promote uptake of self-care family planning methods in Mayuge district.,
|
Uganda |
2024-03-14 12:13:45 |
2027-03-14 |
Medical and Health Sciences |
Non-Clinical Trial |
Non-degree Award |
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Sarah Sturrock Sabalis
ID: UNCST-2023-R006363
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Using machine learning to model early-onset neonatal sepsis risk in late preterm
and term neonates in Uganda (NeoRisk)
REFNo: HS3728ES
1. Determine risk factors for neonatal early-onset sepsis in Kampala, Uganda
2. Use machine learning techniques to create a risk stratification model for early-onset sepsis
3. Explore relationship between culture-positive sepsis and clinical diagnostic features using machine learning techniques, including association between level of training of clinician documented diagnosis and blood culture result
|
UK |
2024-03-07 8:42:58 |
2027-03-07 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
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