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Community Participation and Service Delivery in Local Government-The Case of Amuru District, Uganda
(Gulu University, 2013) Oola Donato Olam
This study examines community participation and service delivery m local government (LG) taking Amuru District operations as a case study. Amuru is one of the LGs located in the Acholi sub-region, northern Uganda East Africa. The research principle objective was to explore relationships between planning and budgeting, resource mobilization, and between monitoring and evaluation and service delivery. A relevant review of related literature was carried out in line with identified objectives and research questions. The data were generated from scholarly journals, government publications, and text books among other sources. Relevant comparisons were made to establish relationships and gaps as the main methods guide upon which questionnaire, interviews and documents review were developed to help in data collection. The study employed a sample of 82 participants picked from a population constituting different employee categories of the district. Various findings were obtained but the most salient ones included: that the district's ability to deliver services falls short of the expected central government requirements in light of the decentralization policy. The research also found a gap in the planning and budgeting process in view of service provision considerations. The study also found resource mobilization strategy quite weak thus rendering the provision of essential services somehow difficult. Basic services expected to be rendered to communities were found largely inadequate. Monitoring and the level of community participation are low leading to poor service delivery. Conclusion and recommendations were drawn based on the gaps identified during the study process. Recommendations are addressed to policy makers, the government and other stakeholders.
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Medical Education Technology in Resource-Limited Settings
(intechopen, 2024) Pebalo Francis Pebolo; Ayikoru Jackline; Maxwell Opwonya; Raymond Otim; Felix Bongomin
The integration of information and communication technology (ICT) in medical education is crucial to meet the evolving needs of the global population and ensure competency among healthcare trainees. In low- and middle-income countries (LMICs), where resources are limited, leveraging advanced ICTs has the potential to revolutionize medical education by promoting student-centred learning through asynchronous and distributed access. The recent introduction of artificial intelligence (AI) = in medical education has transformed learning into a personalized experiences, virtual simulations, and real-time feedback. Our experience with use of simple technology in Uganda serves as a prime example of how innovative technologies are being utilized to enhance medical education in a LMICs setting. Our experience in the implementation of interactive displays in simulation training and the establishment of low-cost content production studio has significantly improved trainings and learnings. By integrating these technologies closer to the learning environment, students can access information before or after interacting with their teachers, engage in higher cognitive activities, and stimulate problem-solving skills. The success of these initiatives demonstrates their potential for adoption to elevate the quality of medical education in LMICs. Embracing ICT in medical training not only bridges educational gaps but also fosters inclusive and equitable access to resources in LMICs.
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Caesarean section rates in a tertiary teaching hospital in northern Uganda: a retrospective analysis using the robson ten group classification system
(BMC Pregnancy and Childbirth, 2024) Eric Ssennuni; Felix Bongomin; Elvis Akuma; Kizito Lukujja; Henry Kule; Keneth Opiro; Silvia Awor; Baifa Arwinyo; Sande Ojara; Jimmyy Opee; Ayikoru Jackline; Akello Jackline; Pebalo Francis Pebolo
Background: The Robson Ten Groups Classification System (RTGCS) is increasingly used to assess, monitor, and compare caesarean section (CS) rates within and between healthcare facilities. We evaluated the major contributing groups to the CS rate at Gulu Regional Referral Hospital (GRRH) in Northern Uganda using the RTGCS. Methods: We conducted a retrospective analysis of all deliveries from June 2019 through July 2020 at GRRH, Gulu city, Uganda. We reviewed files of mothers and collected data on sociodemographic and obstetric variables. The outcome variables were Robson Ten Groups (1–10) based on parity, gestational age, foetal presentation, number of foetuses, the onset of labour, parity and lie, and history of CS. Results: We reviewed medical records of 3,183 deliveries, with a mean age of 24.6 ± 5.7 years. The overall CS rate was 13.4% (n = 427). Most participants were in RTGCS groups 3 (43.3%, n = 185) and 1 (29.2%, n = 88). The most common indication for CS was prolonged labour (41.0%, n = 175), followed by foetal distress (19.9%, n = 85) and contracted pelvis (13.6%, n = 58). Conclusion: Our study showed that GRRH patients had a low-risk obstetric population dominated by mothers in groups 3 and 1, which could explain the low overall CS rate of 13.4%. However, the rates of CS among low-risk populations are alarmingly high, and this is likely to cause an increase in CS rates in the future. We recommend group specific interventions through CS auditing to lower group-specific CS rates.
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Trusted sources of information on COVID-19 vaccines during the pandemic in Uganda. A crosssectional study
(Research squares, 2023-10-17) Oloya, Johnson Nyeko; Alema, Nelson Onira; Okot, Christopher; Olal, Emmanuel; Ikoona, Eric Nzirakaindi; Oyat, Freddy Wathum Drinkwater; Steven, Baguma; Ochula, Denish Omoya; Olwedo, Patrick Odong; Pebolo, Francis Pebalo; Atim, Pamela Okot; Okot, Godfrey Smart; Nantale, Ritah; Aloyo, Judith; Kitara, David Lagoro
Background. COVID-19 has dramatically impacted communities worldwide, especially in developing countries. To successfully control the COVID-19 pandemic, more than 80% vaccination coverage was required, and the flow of correct information to the population was critical. However, misinformation and disinformation could impact this, increasing COVID-19 vaccine hesitancy in some communities. Several studies have assessed the effect of misinformation and disinformation on COVID-19 vaccine acceptance and other responses to the pandemic in the African continent. Thus, the most trusted sources of information on COVID-19 vaccines to the population is critical for successfully managing and controlling the pandemic. This study aimed to assess the most trusted sources of information on COVID-19 vaccines during the pandemic in northern Uganda.