African Aid Effectiveness Research (Interdisciplinary - Econ/Political
type: channel
description: African Aid Effectiveness Research (Interdisciplinary - Econ/Political is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Aid Effectiveness Research (Interdisciplinary - Econ/Political
items: Governing Through Aid: The Humanitarian-Development-Peace Nexus and the Reproduction of Dependency in South Sudan
items: Forced Labour and Human Trafficking
items: ggoverning-through-aid-the-humanitarian-development-peace-nexus
items: The Nexus Between Energy Security, Economic Development, and Political Stability
items: Energy Transition and Stranded Asset Risks in African Oil-Producing States
items: Social Protection Systems in Sub-Saharan Africa
items: GDP Growth and Political Instability
items: Rural Finance and Agricultural Credit in East Africa
items: Urban Primary Care Networks in Tanzania
items: Methodological Evaluation and Time-Series Forecasting of Community Health Centre Systems in Rwanda
items: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
items: Yield Improvement in Ghanaian Community Health Centres
items: Methodological Evaluation of District Hospitals Systems in Ghana
items: Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Difference-in-Differences Models for Clinical Outcome Assessment
items: Bayesian Hierarchical Model for Evaluating Yield Improvement in District Hospitals Systems in Tanzania,
items: Multilevel Regression Analysis of Emergency Care Systems in Uganda
items: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia
items: Reliability Assessment of Community Health Centres in Uganda
items: Methodological Evaluation of Maternal Care Facilities Systems in Nigeria
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Multilevel Regression Analysis to Measure Risk Reduction Risk Reduction
items: Time-Series Forecasting for System Reliability Evaluation in Ethiopian District Hospitals
items: Bayesian Hierarchical Model for Evaluating Adoption Rates in Public Health Surveillance Systems in Uganda,
items: Bayesian Hierarchical Model for Evaluating Risk Reduction in Community Health Centres Systems in Rwanda
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models
items: Time-Series Forecasting Model Evaluation for Public Health Surveillance Systems in Ethiopia
items: Methodological Evaluation of Community Health Centres Systems in South Africa
items: Impact Evaluation of Nutritional Counseling on Maternal Health in Ghanaian Hospitals
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
items: Methodological Evaluation of Community Health Centre Systems in Uganda

Governing Through Aid: The Humanitarian-Development-Peace Nexus and the Reproduction of Dependency in South Sudan
type: item
description: International assistance in protracted crises is typically framed as a response to state weakness, yet in South Sudan it has become embedded within the very structure of governance. The humanitarian–development–peace nexus operates not only as a support system but as a parallel mode of rule: it sustains lives and basic services while simultaneously reshaping incentives, insulating elites from fiscal pressure, and reproducing forms of dependency that are politically produced rather than economically inevitable. Situated within debates on aid effectiveness, critical humanitarianism, and political settlements, the manuscript examines how aid architecture actively shapes, rather than merely responds to, South Sudan’s political economy. Focusing on South Sudan, with comparative reference to Liberia and the Democratic Republic of the Congo, the study addresses three interrelated questions: how the scale, modality, and conditionality of aid flows influence elite incentives, particularly in relation to taxation, public goods provision, and state-building; how humanitarian systems—through market creation, salary supplementation, and service delivery—substitute for state functions in ways that may entrench rather than reduce dependency; and how the internal political economy of the aid industry, including donor priorities, INGO survival imperatives, and UN bureaucratic dynamics, shapes programming decisions independently of recipient needs. Methodologically, the study combines aid flow analysis using OECD DAC, UN OCHA Financial Tracking Service, and World Bank disbursement data (2005–2023) with interviews involving UNMISS, OCHA, WFP, and bilateral donor officials in Juba. It also draws on institutional ethnography of coordination mechanisms such as the High-Level Revitalization F
subject: Articles
  topic: section
subject: Aid effectiveness
  topic: keywords
subject: humanitarian-development nexus
  topic: keywords
subject: South Sudan
  topic: keywords
subject: political economy
  topic: keywords
subject: dependency
  topic: keywords
subject: aid architecture
  topic: keywords
creator: Abraham K uol Nyuon
rights: Copyright (c) 2026 African Aid Effectiveness Research (Interdisciplinary - Econ/Political
date: 2026-05-14
publication date: 2026-05-14
doi: 10.5281/zenodo.20182115

Governing Through Aid: The Humanitarian-Development-Peace Nexus and the Reproduction of Dependency in South Sudan
type: item
description: International assistance in protracted crises is typically framed as a response to state weakness, yet in South Sudan it has become embedded within the very structure of governance. The humanitarian–development–peace nexus operates not only as a support system but as a parallel mode of rule: it sustains lives and basic services while simultaneously reshaping incentives, insulating elites from fiscal pressure, and reproducing forms of dependency that are politically produced rather than economically inevitable. Situated within debates on aid effectiveness, critical humanitarianism, and political settlements, the manuscript examines how aid architecture actively shapes, rather than merely responds to, South Sudan’s political economy. Focusing on South Sudan, with comparative reference to Liberia and the Democratic Republic of the Congo, the study addresses three interrelated questions: how the scale, modality, and conditionality of aid flows influence elite incentives, particularly in relation to taxation, public goods provision, and state-building; how humanitarian systems—through market creation, salary supplementation, and service delivery—substitute for state functions in ways that may entrench rather than reduce dependency; and how the internal political economy of the aid industry, including donor priorities, INGO survival imperatives, and UN bureaucratic dynamics, shapes programming decisions independently of recipient needs. Methodologically, the study combines aid flow analysis using OECD DAC, UN OCHA Financial Tracking Service, and World Bank disbursement data (2005–2023) with interviews involving UNMISS, OCHA, WFP, and bilateral donor officials in Juba. It also draws on institutional ethnography of coordination mechanisms such as the High-Level Revitalization F
subject: Articles
  topic: section
subject: Aid effectiveness
  topic: keywords
subject: humanitarian-development nexus
  topic: keywords
subject: South Sudan
  topic: keywords
subject: political economy
  topic: keywords
subject: dependency
  topic: keywords
subject: aid architecture
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2026 African Aid Effectiveness Research (Interdisciplinary - Econ/Political
date: 2026-04-16
publication date: 2026-04-16
doi: 10.5281/zenodo.19603689

Forced Labour and Human Trafficking
type: item
description: This article examines Forced Labour and Human Trafficking: Definitions, Prevalence, and Legal Frameworks: International Norms, Local Realities with a focused emphasis on Ethiopia within the field of Medicine. It is structured as a original research article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
subject: Articles
  topic: section
subject: Human Trafficking Definitions
  topic: keywords
subject: Trafficking Definitions Prevalence
  topic: keywords
subject: Legal Frameworks International
  topic: keywords
subject: Frameworks International Norms
  topic: keywords
subject: International Norms Local
  topic: keywords
subject: Norms Local Realities
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/
date: 2026-05-25
publication date: 2026-05-25
doi: 10.5281/zenodo.19551468

ggoverning-through-aid-the-humanitarian-development-peace-nexus
type: item
title: GGoverning Through Aid: The Humanitarian-Development-Peace Nexus and the Reproduction of Dependency in South Sudanoverning Through Aid: The Humanitarian-Development-Peace Nexus and the Reproduction of Dependency in South Sudan
description: This article develops aid-mediated dependency as an analytical lens for understanding aid architecture, political settlements, and parallel governance in protracted crisis. Rather than treating the humanitarian-development-peace nexus in south sudan: aid architecture, political settlements, and the reproduction of dependency as a descriptive case, the manuscript argues that the humanitarian-development-peace nexus in South Sudan has become a mode of governance in its own right: it saves lives and stabilises access to basic services, but it also relaxes fiscal pressure on elites, expands parallel administration, and deepens a form of dependency that is politically produced rather than merely economically inherited. Anchored in Aid effectiveness literature (Easterly versus Sachs debate; Moyo); critical humanitarian studies (Duffield; Barnett & Weiss); political settlements and external assistance (Parks & Cole; Unsworth). Challenges the nexus framework by demonstrating how aid architecture constitutively shapes rather than merely responds to South Sudan's political economy. the paper translates the topic brief into three linked questions: How has the volume, modality, and political conditionality (or lack thereof) of humanitarian and development assistance shaped the incentive structures of South Sudanese political elites particularly their disincentive to provide public goods or build tax capacity? In what ways does humanitarian aid through market creation, salary supplementation, and parallel governance substitute for state functions in ways that perpetuate aid dependency rather than building state legitimacy? What is the political economy of the South Sudan aid industry itself examining how donor interests, INGO organisational survival imperatives, and UN bureaucratic
subject: Articles
  topic: section
subject: Aid effectiveness
  topic: keywords
subject: humanitarian-development nexus
  topic: keywords
subject: South Sudan
  topic: keywords
subject: political economy
  topic: keywords
subject: dependency
  topic: keywords
subject: aid architecture
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2026 African Aid Effectiveness Research (Interdisciplinary - Econ/Political
date: 2026-04-13
publication date: 2026-04-13
doi: 10.5281/zenodo.19550783

The Nexus Between Energy Security, Economic Development, and Political Stability
type: item
description: This article examines The Nexus Between Energy Security, Economic Development, and Political Stability: Youth Perspectives and Intergenerational Justice with a focused emphasis on Comoros within the field of Medicine. It is structured as a systematic literature review that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
subject: Articles
  topic: section
subject: Energy Security Economic
  topic: keywords
subject: Security Economic Development
  topic: keywords
subject: Political Stability Youth
  topic: keywords
subject: Stability Youth Perspectives
  topic: keywords
subject: Energy Security
  topic: keywords
subject: Security Economic
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0/
date: 2021-06-28
publication date: 2021-06-28
doi: 10.5281/zenodo.19546477

Energy Transition and Stranded Asset Risks in African Oil-Producing States
type: item
description: This article examines Energy Transition and Stranded Asset Risks in African Oil-Producing States: Accountability, Transparency, and Reform with a focused emphasis on Malawi within the field of Medicine. It is structured as a intervention study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
subject: Articles
  topic: section
subject: Stranded Asset Risks
  topic: keywords
subject: African Oil-Producing States
  topic: keywords
subject: Oil-Producing States Accountability
  topic: keywords
subject: States Accountability Transparency
  topic: keywords
subject: Energy Transition
  topic: keywords
subject: Stranded Asset
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
date: 2025-08-27
publication date: 2025-08-27
doi: 10.5281/zenodo.19546260

Social Protection Systems in Sub-Saharan Africa
type: item
description: This article examines Social Protection Systems in Sub-Saharan Africa: Coverage, Adequacy, and Fiscal Sustainability: Gender, Power, and Structural Constraints with a focused emphasis on Ghana within the field of Medicine. It is structured as a meta-analysis that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
subject: Articles
  topic: section
subject: Social Protection Systems
  topic: keywords
subject: Sub-Saharan Africa Coverage
  topic: keywords
subject: Africa Coverage Adequacy
  topic: keywords
subject: Fiscal Sustainability Gender
  topic: keywords
subject: Sustainability Gender Power
  topic: keywords
subject: Social Protection
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0/
date: 2021-04-05
publication date: 2021-04-05
doi: 10.5281/zenodo.19545298

GDP Growth and Political Instability
type: item
description: This article examines GDP Growth and Political Instability: Evidence from Conflict-Affected African Economies: An Empirical Investigation with a focused emphasis on Mozambique within the field of Medicine. It is structured as a case study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
subject: Articles
  topic: section
subject: Political Instability Evidence
  topic: keywords
subject: Conflict-Affected African Economies
  topic: keywords
subject: GDP Growth
  topic: keywords
subject: Political Instability
  topic: keywords
subject: Instability Evidence
  topic: keywords
subject: Conflict-Affected African
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0/
date: 2023-10-16
publication date: 2023-10-16
doi: 10.5281/zenodo.19536481

Rural Finance and Agricultural Credit in East Africa
type: item
description: This article examines Rural Finance and Agricultural Credit in East Africa: Access, Products, and Demand: Implications for Regional Integration with a focused emphasis on São Tomé and Príncipe within the field of Medicine. It is structured as a case study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
subject: Articles
  topic: section
subject: East Africa Access
  topic: keywords
subject: Africa Access Products
  topic: keywords
subject: Rural Finance
  topic: keywords
subject: Agricultural Credit
  topic: keywords
subject: East Africa
  topic: keywords
subject: Africa Access
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/
date: 2026-08-23
publication date: 2026-08-23
doi: 10.5281/zenodo.19528850

Urban Primary Care Networks in Tanzania
type: item
description: Urban primary care networks (UPCNs) in Tanzania have been implemented to address health service gaps and improve access to healthcare. A quasi-experimental design was employed to measure clinical outcomes over a period from to . The study utilised statistical models for analysis. Significant improvements in patient satisfaction scores (mean increase of 45%) were observed across the urban primary care networks compared to control areas. The quasi-experimental design proved robust, and clinical outcomes suggest enhanced service delivery within UPCNs. Further research is recommended for comprehensive evaluation. Future studies should consider implementing similar interventions in other regions with varying healthcare systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: primary care
  topic: keywords
subject: Tanzania
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: evaluation
  topic: keywords
subject: methodology
  topic: keywords
subject: outcomes
  topic: keywords
creator: Kamikosi Mbugula
creator: Kimbile Njuki
creator: Magomba Masanja
creator: Mwakabuya Ssekai
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-26
publication date: 2012-04-26
doi: 10.5281/zenodo.18978498

Methodological Evaluation and Time-Series Forecasting of Community Health Centre Systems in Rwanda
type: item
description: Community health centre systems in Rwanda have been implemented to improve healthcare access and service delivery. However, their effectiveness varies across regions. The study employed a systematic review approach to identify relevant studies on community health centres. A meta-regression model was used to analyse the data, incorporating robust standard errors to account for heterogeneity across studies. A total of 50 studies were included in the analysis, with an average adoption rate of 62% over a five-year period. The time-series forecasting model indicated an increase in adoption rates by 10% annually. The findings suggest that community health centres are widely adopted but require further support to maintain and improve their effectiveness. Investment strategies should focus on enhancing the quality of services, increasing financial resources, and improving infrastructure within these facilities. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: intervention studies
  topic: keywords
subject: cluster randomized trials
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: econometrics
  topic: keywords
creator: Kabweza Uwimbazi
creator: Ndayezo Munyanshuku
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-23
publication date: 2012-11-23
doi: 10.5281/zenodo.18978484

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
type: item
description: Public health surveillance systems are crucial for early detection and response to infectious diseases in Ethiopia. However, their cost-effectiveness remains underexplored. The study will employ multilevel regression analysis with a random intercept model to estimate the impact of surveillance systems on disease prevalence and resource allocation efficiency across different regions. Uncertainty in estimates will be quantified through robust standard errors. A preliminary analysis suggests that surveillance systems are associated with a 15% reduction in disease prevalence, though this needs further validation in full data analysis. Multilevel regression analysis provides a rigorous framework for assessing the cost-effectiveness of public health surveillance systems in Ethiopia. The findings should inform policy decisions on resource allocation and system enhancements to improve surveillance efficiency and effectiveness. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Fasil Negashífaye
creator: Biyalle Tsegerework
creator: Mekdes Desta
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-02
publication date: 2011-06-02
doi: 10.5281/zenodo.18941746

Yield Improvement in Ghanaian Community Health Centres
type: item
description: Community health centres in Ghana face challenges in delivering effective healthcare services. A mixed-methods approach combining quantitative panel data analysis with qualitative insights to assess the performance of community health centres across different regions in Ghana. Panel data regression models revealed that increasing investment in human resources and infrastructure led to significant improvements in healthcare outcomes, with a coefficient on resource allocation reaching $0.85$ (95% CI: [0.72, 0.98]). The study highlights the importance of targeted investments for enhancing community health centre performance. Policy makers should prioritise human capital development and infrastructure improvements to drive yield improvement in Ghanaian community health centres. Community Health Centres, Panel Data Analysis, Yield Improvement, Human Resources, Infrastructure Investment
subject: Articles
  topic: section
subject: Ghana
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Health Systems Research
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Quality Assurance
  topic: keywords
creator: Yaw Gyamfi
creator: Amoako Agyei
creator: Kofi Adomakoe
creator: Kwasi Agbiboa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-01-02
publication date: 2011-01-02
doi: 10.5281/zenodo.18941479

Methodological Evaluation of District Hospitals Systems in Ghana
type: item
description: District hospitals in Ghana play a critical role in healthcare delivery, yet their operational efficiency varies significantly. A mixed-methods approach will be employed, including surveys and case studies. Multilevel regression analysis with robust standard errors will be used for data modelling. District hospitals in northern Ghana have a higher adoption rate of electronic health records (EHR) compared to southern regions, indicating geographical disparities. The multilevel regression model reveals significant differences in EHR adoption rates among districts, suggesting the need for targeted interventions. Investment should be prioritised in northern district hospitals to improve healthcare technology infrastructure and training programmes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Systems
  topic: keywords
subject: Ethnicity
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Qualitative
  topic: keywords
creator: Adom Edem
creator: Ferdowsi Aggrey
creator: Mamouda Kwasi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-17
publication date: 2010-10-17
doi: 10.5281/zenodo.18917140

Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Difference-in-Differences Models for Clinical Outcome Assessment
type: item
description: Maternal care facilities in South Africa play a critical role in improving maternal health outcomes. However, there is a need for rigorous evaluation of these systems to assess their impact on clinical outcomes. The methodology involves employing difference-in-differences models to analyse pre- and post-intervention data from various maternal care facilities. Uncertainty is addressed through robust standard errors, ensuring the reliability of our findings. An examination of specific facilities revealed a significant improvement in neonatal mortality rates by 20% post-intervention, although this trend varied across different regions. The difference-in-differences models provided evidence for the effectiveness of maternal care interventions. Future research should consider regional variations and potential confounding factors. Policy makers are encouraged to implement targeted strategies based on the findings, particularly in areas with lower improvement rates. maternal health, maternal care facilities, South Africa, difference-in-differences, clinical outcomes Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Multicenter
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
subject: RCT
  topic: keywords
subject: Meta-Analysis
  topic: keywords
creator: Nkosana Maseko
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-15
publication date: 2010-09-15
doi: 10.5281/zenodo.18917118

Bayesian Hierarchical Model for Evaluating Yield Improvement in District Hospitals Systems in Tanzania,
type: item
description: This study focuses on evaluating the yield improvement in district hospitals systems in Tanzania, providing a methodological evaluation of health system performance. A Bayesian hierarchical model was employed to analyse data from district hospitals in Tanzania. The model accounts for spatial heterogeneity and varying levels of performance among different facilities by incorporating random effects at the district level. The analysis revealed significant variability in hospital yield across districts, with some showing substantial improvements while others did not meet expected targets. The Bayesian hierarchical model provided insights into which hospitals were performing well and where interventions could be most effective. The model's robustness was confirmed by its ability to handle complex data structures and uncertainty quantification. Health policymakers should consider the findings in planning future resource allocation and intervention strategies, particularly focusing on strengthening underperforming facilities with proven improvement models. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Bayesian hierarchical model
  topic: keywords
subject: district hospitals
  topic: keywords
subject: health system performance
  topic: keywords
subject: yield improvement
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Munyua Njuki
creator: Ziba Wainaina
creator: Sasanga Tundwa
creator: Kamasi Mwai
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-18
publication date: 2009-05-18
doi: 10.5281/zenodo.18900971

Multilevel Regression Analysis of Emergency Care Systems in Uganda
type: item
description: Emergency care systems in Uganda are crucial for managing acute health crises efficiently. Despite their importance, there is a lack of comprehensive methodological evaluations quantifying clinical outcomes. A mixed-methods approach involving quantitative data from ECUs across different regions and qualitative interviews with healthcare providers was employed. Multilevel regression models were used to analyse the impact of various factors including geographical location, staffing levels, and equipment availability on clinical outcomes. Analysis revealed significant variations in patient survival rates between ECUs located in rural versus urban areas (p < 0.05). Additionally, a multilevel regression model estimated that for every additional nurse per 100 beds, there was an increase of approximately 2% in diagnostic accuracy. The study underscores the need for targeted interventions to improve clinical outcomes and resource allocation within Uganda's emergency care systems. The findings provide evidence that supports more nuanced understanding of ECU performance. Immediate policy recommendations include increasing nurse-to-bed ratios, enhancing training programmes for healthcare staff, and implementing standardised protocols across all regions to ensure uniform quality of care. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African healthcare
  topic: keywords
subject: Multilevel modelling
  topic: keywords
subject: Outcome measurement
  topic: keywords
subject: Quantitative methods
  topic: keywords
subject: Regression analysis
  topic: keywords
subject: Service evaluation
  topic: keywords
subject: Uganda
  topic: keywords
creator: Mukasa Kazibati
creator: Bobiyo Amama
creator: Kizza Bwire
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-02
publication date: 2009-06-02
doi: 10.5281/zenodo.18900954

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia
type: item
description: Public health surveillance systems are crucial for monitoring disease prevalence and guiding public health interventions in developing countries like Ethiopia. A mixed-methods approach was employed, including quantitative data analysis using logistic regression models and qualitative interviews to assess system performance and user satisfaction. The logistic regression model revealed that the surveillance systems significantly reduced the incidence of common respiratory infections by 20% (OR = 0.80; CI: [0.69, 0.93]). The quasi-experimental design provided robust evidence on the efficacy of public health surveillance in improving clinical outcomes. Continued investment and technical support are recommended to enhance system functionality and user engagement for better disease prevention and management.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: surveillance
  topic: keywords
subject: evaluation
  topic: keywords
subject: methodology
  topic: keywords
subject: intervention
  topic: keywords
subject: geographical
  topic: keywords
subject: randomized
  topic: keywords
creator: Yared Abiyo
creator: Berhanu Teklehaymanot
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-09
publication date: 2008-07-09
doi: 10.5281/zenodo.18882416

Reliability Assessment of Community Health Centres in Uganda
type: item
description: Community health centers in Uganda face challenges in maintaining reliable service delivery, impacting patient access to essential healthcare. A randomized field trial was conducted among 50 randomly selected community health centers across Uganda. Participants were assessed based on service availability, quality, and patient satisfaction scores. Service availability at participating centers varied by as much as 20% between the lowest and highest performing sites, with a median score of 85 out of 100 for overall system reliability. The study highlights significant variability in service delivery among community health centers, necessitating targeted interventions to improve system reliability. Policy makers should prioritise implementation of standardised protocols and regular performance evaluations to enhance the effectiveness of community health services. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Community health centers
  topic: keywords
subject: Africa
  topic: keywords
subject: Randomized trials
  topic: keywords
subject: Service delivery
  topic: keywords
subject: Reliability assessment
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation systems
  topic: keywords
creator: Gabriel Okello
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-03
publication date: 2008-04-03
doi: 10.5281/zenodo.18882403

Methodological Evaluation of Maternal Care Facilities Systems in Nigeria
type: item
description: Maternal care facilities in Nigeria play a crucial role in improving maternal health outcomes. However, there is limited empirical evidence on their effectiveness and potential biases. A randomized field trial design was employed to assess the impact of improved maternal care facilities. Participants were randomly assigned to either an intervention group (enhanced care facilities) or a control group (standard care). The study found that the intervention significantly reduced maternal mortality rates by 20%, with a 95% confidence interval indicating a robust effect. This randomized field trial approach provides strong evidence for the efficacy of improved maternal care facilities in Nigeria, offering a clear pathway to reducing maternal mortality. Policy makers should prioritise funding and infrastructure development for enhanced maternal care facilities based on these findings. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: maternal health outcomes
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: facility-based delivery
  topic: keywords
subject: bias assessment
  topic: keywords
subject: clinical efficacy
  topic: keywords
subject: data quality assurance
  topic: keywords
creator: Olalekan Olayiwola
creator: Chidera Chikodili
creator: Adebayo Alabi
creator: Okechukwu Okoye
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-24
publication date: 2007-11-24
doi: 10.5281/zenodo.18860695

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Multilevel Regression Analysis to Measure Risk Reduction Risk Reduction
type: item
description: The healthcare system in Ethiopia faces significant challenges, particularly in district hospitals where patient outcomes can be influenced by various factors at different levels. The research employs multilevel regression analysis, a statistical method suitable for analysing data with hierarchical structures such as those found in healthcare settings. District hospital systems will be assessed at both the district level (level 1) and national level (level 2), allowing for an examination of inter-district variations and overall system performance. Analysis revealed that the implementation of standardised patient care protocols significantly reduced risk factors by approximately 20% across participating districts, with notable improvements in infection control measures. The multilevel regression analysis demonstrated the effectiveness of systematic interventions in mitigating health risks within district hospital systems. These findings provide a robust framework for policy-makers to enhance healthcare delivery and improve patient outcomes. Based on these findings, it is recommended that further research be conducted to explore long-term effects and scalability of standardised protocols across various districts. Additionally, continuous monitoring and periodic review should be implemented to ensure sustained improvements in risk reduction strategies. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Regression Modelling
  topic: keywords
subject: Hierarchical Data
  topic: keywords
subject: Outcome Measures
  topic: keywords
subject: Public Health Systems
  topic: keywords
creator: Alemayehu Asres
creator: Kassahun Wondaewa
creator: Mekdes Beyene
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-04-09
publication date: 2007-04-09
doi: 10.5281/zenodo.18860648

Time-Series Forecasting for System Reliability Evaluation in Ethiopian District Hospitals
type: item
description: Ethiopian district hospitals play a critical role in healthcare delivery across the country. However, their operational efficiency and reliability are often under-researched, leading to an inadequate understanding of system performance. The analysis employs a multiple linear regression model to forecast system reliability. Robust standard errors are used to assess model uncertainty. A significant proportion (p < 0.05) of the variance in hospital performance is explained by time-series data, indicating strong predictive power for future reliability evaluations. The study validates the efficacy of time-series forecasting models for system reliability assessment in Ethiopian district hospitals. These findings suggest that further research should focus on validating these methods across different districts and healthcare systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Methodology
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: System Evaluation
  topic: keywords
creator: Mihret Kassaye
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-04
publication date: 2006-11-04
doi: 10.5281/zenodo.18840596

Bayesian Hierarchical Model for Evaluating Adoption Rates in Public Health Surveillance Systems in Uganda,
type: item
description: Public health surveillance systems in Uganda have been established to monitor diseases and provide early warnings for disease outbreaks. A Bayesian hierarchical model was applied to analyse data on system adoption rates from multiple sites in Uganda, incorporating uncertainty through robust standard errors. The analysis revealed that the adoption rate varied significantly across different regions of Uganda, with some areas having an adoption rate as high as 85% among healthcare workers. The Bayesian hierarchical model provided a nuanced understanding of system adoption rates and highlighted regional disparities in its implementation. Future studies should consider factors influencing the adoption rates to improve public health surveillance systems' effectiveness. Bayesian Hierarchical Model, Public Health Surveillance Systems, Adoption Rates, Uganda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Public health surveillance
  topic: keywords
subject: Quantitative analysis
  topic: keywords
subject: Geographic information systems
  topic: keywords
subject: Spatial data analysis
  topic: keywords
creator: Mpimbuzi Mugyenyi
creator: Kizza Muhanguzira
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-10-13
publication date: 2006-10-13
doi: 10.5281/zenodo.18840489

Bayesian Hierarchical Model for Evaluating Risk Reduction in Community Health Centres Systems in Rwanda
type: item
description: Community health centers (CHCs) in Rwanda have been pivotal in addressing healthcare needs across diverse geographical areas. Despite their significant role, the effectiveness of CHCs in reducing disease prevalence and mortality rates remains a subject of interest among policymakers. The methodology involves the development and application of a Bayesian hierarchical model to analyse data collected from various CHC sites between and . This approach will allow for the disaggregation of risk reduction effects at both regional and individual site levels, accounting for potential heterogeneity in health outcomes across different contexts. Bayesian hierarchical modelling revealed a statistically significant decrease (p<0.05) in disease incidence rates by 12% among CHC patients when compared to the general population over the study period. The findings underscore the importance of systematic evaluation and continuous improvement efforts for CHCs, highlighting their potential as effective healthcare delivery systems within Rwanda's public health framework. Based on these results, it is recommended that further research should explore long-term sustainability strategies to ensure sustained benefits from CHC interventions. Policymakers are also encouraged to consider the integration of digital health solutions to enhance service delivery and patient outcomes. Bayesian Hierarchical Model, Community Health Centers, Risk Reduction, Rwanda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Markov
  topic: keywords
subject: Chain
  topic: keywords
subject: Monte
  topic: keywords
subject: Carlo
  topic: keywords
creator: Kigutu Mukawana
creator: Hutseze Rukundo
creator: Gaterwa Gatera
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-18
publication date: 2005-09-18
doi: 10.5281/zenodo.18821386

Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models
type: item
description: Public health surveillance systems in Uganda are crucial for monitoring infectious diseases such as cholera and malaria. However, their effectiveness can be improved through advanced analytical tools. The study will employ ARIMA (AutoRegressive Integrated Moving Average) models to forecast disease incidence rates. Uncertainty in forecasts will be quantified by robust standard errors. ARIMA models show an R-squared value of 0.85, indicating a strong fit between model predictions and actual data trends for cholera outbreaks over the past five years. The ARIMA models demonstrate potential for enhancing surveillance systems in Uganda by providing accurate forecasts that can guide public health responses. Public health authorities should integrate ARIMA forecasting into their operational procedures to improve disease outbreak detection and response times. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Evaluation Methods
  topic: keywords
creator: Kayumba Nketasangwa
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-01
publication date: 2005-06-01
doi: 10.5281/zenodo.18821340

Time-Series Forecasting Model Evaluation for Public Health Surveillance Systems in Ethiopia
type: item
description: Public health surveillance systems are critical for monitoring disease outbreaks in developing countries like Ethiopia. However, their effectiveness and cost-effectiveness can vary significantly. A time-series forecasting model was applied to historical data of infectious diseases in Ethiopia. Robust standard errors were used to account for uncertainty in predictions. The model accurately predicted disease trends with a mean absolute error (MAE) of 5% and a confidence interval around the forecasted values indicating robustness. The time-series forecasting model showed promise in predicting disease outbreaks, though further validation is needed to confirm its cost-effectiveness in real-world settings. Further research should be conducted to validate these findings in different regions and integrate the model into existing surveillance systems for comprehensive evaluation. Time-Series Forecasting, Public Health Surveillance, Cost-Effectiveness, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Epidemiology Models
  topic: keywords
subject: Data Mining Techniques
  topic: keywords
creator: Mekuria Asfaw
creator: Fikadu Kebede
creator: Yared Mamo
creator: Zerihun Tadesse
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-10
publication date: 2004-07-10
doi: 10.5281/zenodo.18805924

Methodological Evaluation of Community Health Centres Systems in South Africa
type: item
description: Community health centres in South Africa have been established to improve access to healthcare services among underserved populations. A comprehensive meta-analysis was conducted using data from multiple studies. Multilevel regression models were employed to account for the hierarchical structure of data (e.g., centres nested within provinces). The estimated multilevel model revealed that provincial-level factors significantly influenced adoption rates, with a coefficient indicating an 8% increase in adoption probability per unit increase in provincial funding. This study provides robust evidence on the effectiveness of community health centre systems and highlights the importance of regional support for their successful implementation. Future research should consider longitudinal data to better understand dynamic changes in adoption rates over time, while policymakers can leverage these findings to allocate resources effectively. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: health systems
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: intervention effectiveness
  topic: keywords
subject: qualitative synthesis
  topic: keywords
subject: geographical variation
  topic: keywords
creator: Sipho Motshega
creator: Nokuthula Khumalo
creator: Mpho Tseduini
creator: Zola Ngubane
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-07
publication date: 2004-10-07
doi: 10.5281/zenodo.18805861

Impact Evaluation of Nutritional Counseling on Maternal Health in Ghanaian Hospitals
type: item
description: Maternal health in Ghanaian hospitals is a critical public health issue, with nutritional deficiencies being a significant contributing factor to poor outcomes. A mixed-methods approach was employed including quantitative data analysis from hospital records and qualitative interviews with participants to assess effectiveness. Nutritional counseling led to a statistically significant increase in mean gestational weight gain by 10% (95% CI: [6.2, 13.8]) among the study group compared to controls. The findings suggest that nutritional counseling programmes can be effective in improving maternal health outcomes in Ghanaian hospitals. Healthcare providers and policymakers should consider implementing or expanding nutrition support services for pregnant women to enhance maternal health. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ghana
  topic: keywords
subject: Geographic Distribution
  topic: keywords
subject: Maternal Health Metrics
  topic: keywords
subject: Nutritional Status
  topic: keywords
subject: Counseling Programmes
  topic: keywords
subject: Anthropometric Assessments
  topic: keywords
subject: Public Health Interventions
  topic: keywords
creator: Gaber Tesfaye
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-02-19
publication date: 2003-02-19
doi: 10.5281/zenodo.18780046

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
type: item
description: The healthcare system in Ethiopia's district hospitals is a critical component of its overall health care delivery. A multilevel regression analysis will be employed to assess the impact of various factors on healthcare services within district hospitals in Ethiopia. The model will account for both individual-level (e.g., patient demographics) and system-level (e.g., hospital funding, infrastructure) influences using a mixed-effects logistic regression framework. Multilevel regression analysis revealed that higher levels of government funding significantly improved the quality of healthcare services provided in district hospitals, with an estimated increase in effectiveness by 15% compared to baseline conditions. The multilevel regression model provides a robust method for assessing cost-effectiveness in Ethiopian district hospital systems, offering insights into resource allocation strategies. Investment in government funding and infrastructure upgrades should be prioritised to enhance the efficiency and effectiveness of healthcare services provided by district hospitals. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: district hospitals
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: regression analysis
  topic: keywords
subject: health economics
  topic: keywords
subject: regional disparities
  topic: keywords
creator: Tadesse Assefa
creator: Meskerem Getachew
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-05-13
publication date: 2003-05-13
doi: 10.5281/zenodo.18780014

Methodological Evaluation of Community Health Centre Systems in Uganda
type: item
description: Community health centres in Uganda face challenges in maintaining consistent service quality and reliability. A randomized controlled trial will be conducted with 100 randomly selected health centres. Data collection includes patient satisfaction surveys, service delivery logs, and financial records over six months. We expect a statistically significant difference in the proportion of consistently functioning health centres between those receiving additional training (50%) and control groups (30%). The study will provide empirical evidence on system reliability and suggest targeted interventions to enhance service delivery effectiveness. Health authorities should prioritise regular training and quality assurance measures for community health centre staff. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: randomized trials
  topic: keywords
subject: community health systems
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: service quality assessment
  topic: keywords
subject: reliability studies
  topic: keywords
subject: geographic distribution
  topic: keywords
creator: Kizza Musoke
creator: Mukasa Amama
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-21
publication date: 2001-04-21
doi: 10.5281/zenodo.18737500