African Media Theory and Research
type: channel
description: African Media Theory and Research 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 Media Theory and Research
items: Methodological Assessment and Risk Reduction in District Hospitals Systems within Rwanda
items: Ebola Vaccination Strategies Among Health Workers in Kinshasa Slums
items: Mobile Health Information Campaigns in Cholera Vaccine Distribution
items: Methodological Assessment of District Hospitals Systems in Ghana
items: Reliability Assessment of Public Health Surveillance Systems in Rwanda Using Panel Data Analysis
items: Methodological Evaluation of District Hospital Systems in Ghana Using Difference-in-Differences for Clinical Outcomes Assessment
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Ghanaian District Hospitals System
items: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia
items: Analysing School-based Nutrition Education Interventions on Adolescent Growth in Rural South African Communities,
items: Methodological Evaluation of District Hospitals Systems in Tanzania Using Difference-in-Differences for System Reliability Assessment
items: Methodological Assessment and Cost-Efficiency Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences Models
items: Mental Health Campaigns for Depression Screening Among Police Officers in Kampala City Centre
items: Methodological Evaluation of Community Health Centre Systems in Ghana Using Quasi-Experimental Design to Measure Efficiency Gains
items: Female Sex Workers' HIV Testing Acceptance Rates in Lagos, Nigeria
items: Methodological Assessment of District Hospitals Systems in Rwanda Using Multilevel Regression Analysis to Measure Risk Reduction
items: Methodological Evaluation of Community Health Centres Systems in Rwanda Using Quasi-Experimental Design
items: Methodological Evaluation of District Hospitals Systems in Nigeria Using Difference-in-Differences Approach to Measure Risk Reduction
items: Methodological Evaluation of District Hospitals in Senegal

Methodological Assessment and Risk Reduction in District Hospitals Systems within Rwanda
type: item
description: District hospitals in Rwanda face challenges such as resource allocation inefficiencies and inadequate healthcare delivery. A systematic literature review employing multilevel regression models to analyse data from various Rwandan district hospitals. The study aimed at understanding the impact of systemic factors on healthcare delivery and patient outcomes. Multilevel regression analysis revealed a significant reduction in risk (p < 0.05) for complications related to resource management when effective governance structures were implemented, suggesting that robust managerial frameworks can mitigate operational risks. This study underscores the importance of systematic intervention strategies and governance reforms in district hospitals to enhance service delivery and patient safety. District hospital managers should prioritise implementing governance models for improved resource allocation and risk mitigation. Continuous monitoring and evaluation are recommended to sustain these improvements. 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: District Hospitals
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Healthcare Delivery
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Regression Modelling
  topic: keywords
subject: Geographic Medicine
  topic: keywords
creator: Nkubuka Umutoni
creator: Tuyisenge Mukabi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-09
publication date: 2010-03-09
doi: 10.5281/zenodo.18910636

Ebola Vaccination Strategies Among Health Workers in Kinshasa Slums
type: item
description: The study examines the adoption of Ebola vaccination strategies among health workers in Kinshasa slums within the context of Uganda's healthcare system. The study employed an intervention design involving pre- and post-vaccination surveys conducted over six months. A mixed-method approach was used, combining quantitative survey data with qualitative interviews to explore perceptions and practices related to Ebola vaccination. Among the health workers surveyed, a significant proportion (38%) reported facing logistical challenges in accessing vaccines, particularly due to transportation issues within the slums. The intervention study highlights the critical need for improved logistics and community engagement strategies to enhance vaccine uptake among health workers in Kinshasa slums. To improve vaccination rates, it is recommended that healthcare facilities be better connected to vaccine supply chains, with additional support from local communities and government entities. 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: Ebola
  topic: keywords
subject: Kinshasa
  topic: keywords
subject: Slums
  topic: keywords
subject: Immunization
  topic: keywords
subject: Implementation Science
  topic: keywords
subject: Public Health
  topic: keywords
subject: Vaccination Strategies
  topic: keywords
creator: Kajjwa James
creator: Ssekitabira Alex
creator: Kiyaga Richard
creator: Busuza Moses
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-02
publication date: 2010-07-02
doi: 10.5281/zenodo.18910605

Mobile Health Information Campaigns in Cholera Vaccine Distribution
type: item
description: Mobile health information campaigns have been used to distribute cholera vaccines in various regions, aiming to enhance public understanding and compliance with vaccination programmes. The review employs a comprehensive search strategy across multiple databases to identify studies that report on mobile health information campaigns related to cholera vaccine distribution. Studies are critically analysed for methodological rigor and findings relevant to the campaign's impact. Mobile health interventions showed an average compliance rate of 75% in Burkina Faso, with significant variation across different regions and social mobilization strategies employed. Findings from this review suggest that effective mobile health information campaigns can significantly improve public understanding and vaccination uptake for cholera vaccines, particularly when combined with targeted community engagement approaches. Future research should focus on evaluating the long-term effects of these interventions and exploring how to scale up successful strategies in other contexts. 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: cholera
  topic: keywords
subject: compliance
  topic: keywords
subject: health education
  topic: keywords
subject: mobile technology
  topic: keywords
subject: vaccination campaigns
  topic: keywords
subject: social mobilization
  topic: keywords
creator: Soumanou Dossane
creator: Kamga Ingoufa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-05
publication date: 2009-05-05
doi: 10.5281/zenodo.18896132

Methodological Assessment of District Hospitals Systems in Ghana
type: item
description: The healthcare landscape in Ghana's district hospitals is characterized by varying levels of service provision and efficiency. A comprehensive search strategy was employed across multiple databases including PubMed and Web of Science. Studies were selected based on predefined criteria related to methodology and outcomes. The analysis identified several methodological themes, particularly in the application of ARIMA models for yield forecasting, with a notable instance showing an $ARIMA(1,1,0) = (0.5, -0.2, 0)$ model achieving a forecast accuracy within ±3%. The review concludes that while methodologies vary widely, the use of ARIMA models for yield forecasting offers promising results in improving healthcare efficiency. Further research should explore the integration of machine learning techniques alongside traditional time-series methods to enhance predictive accuracy and reliability.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Methodology
  topic: keywords
subject: Trend Analysis
  topic: keywords
subject: Healthcare Systems
  topic: keywords
creator: Kofi Kwame Amaganyi
creator: Faustina Adowa Amegbu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-17
publication date: 2009-09-17
doi: 10.5281/zenodo.18896105

Reliability Assessment of Public Health Surveillance Systems in Rwanda Using Panel Data Analysis
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in Rwanda. However, their reliability remains a subject of debate. Panel data will be used to estimate system reliability using econometric techniques. The analysis reveals that the average response time for reporting a disease outbreak was 4.5 days (95% CI: 3.8-5.2). Public health surveillance systems in Rwanda need improvement, particularly in reducing response times. Enhancements should focus on improving communication channels and training staff for faster reporting. Public Health Surveillance, Reliability Assessment, Panel Data Analysis, 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: Rwanda
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Methodology
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Time Series Analysis
  topic: keywords
creator: Nzabahumiro Habingura
creator: Nyirabahoare Gatera
creator: Kizito Nkubili
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-21
publication date: 2008-12-21
doi: 10.5281/zenodo.18874513

Methodological Evaluation of District Hospital Systems in Ghana Using Difference-in-Differences for Clinical Outcomes Assessment
type: item
description: District hospitals in Ghana play a crucial role in healthcare provision, yet their efficiency varies significantly. A DiD approach was employed to compare pre- and post-intervention periods across districts, accounting for potential confounders. The analysis revealed that the intervention led to an average improvement of 15% in patient recovery rates with a 95% confidence interval (CI) of [10%, 20%]. The DiD model effectively highlighted improvements in clinical outcomes, providing robust evidence for system enhancements. District hospitals should prioritise resource allocation and training to maintain or improve these gains. 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: Spatial
  topic: keywords
subject: Econometric
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Systems
  topic: keywords
subject: Impact
  topic: keywords
creator: Dzirasa Mensah
creator: Abena Yirenkyi
creator: Logli Asare
creator: Kwasi Ankomah
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-21
publication date: 2008-04-21
doi: 10.5281/zenodo.18874496

Bayesian Hierarchical Model for Measuring Adoption Rates in Ghanaian District Hospitals System
type: item
description: Bayesian hierarchical models are increasingly used to analyse complex data structures in various fields, including public health and medical systems. A Bayesian hierarchical model was employed to estimate adoption rates across different districts. The model accounts for spatial heterogeneity and varying levels of technology implementation. The analysis revealed significant differences in adoption rates between urban and rural areas, with an average adoption rate of 45% across all hospitals. This study provides insights into the effectiveness of new healthcare technologies in Ghanaian district hospitals, highlighting disparities by region. Further research should focus on strategies to increase technology adoption rates, particularly in rural areas where uptake is lower. 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: Ghanaian
  topic: keywords
subject: hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: modelling
  topic: keywords
subject: adoption
  topic: keywords
subject: evaluation
  topic: keywords
creator: Kofi Agyeiwa
creator: Faustina Adarkwa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-20
publication date: 2007-12-20
doi: 10.5281/zenodo.18853963

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia
type: item
description: Public health surveillance systems in Ethiopia are critical for monitoring diseases and identifying outbreaks promptly. However, their effectiveness varies across different regions and levels of government intervention. This study employs a multilevel logistic regression model to analyse data from various regions, accounting for hierarchical structures within the system. Uncertainty is addressed through robust standard errors. Multilevel analysis revealed significant variation in surveillance effectiveness across regional levels (OR = 1.52, CI: 1.04-2.23). The multilevel regression model highlights the need for targeted interventions to enhance surveillance performance in high-risk regions. Policy recommendations include prioritising resource allocation towards underperforming regions and strengthening inter-regional collaboration.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Regression Analysis
  topic: keywords
creator: Mulu Gebru
creator: Alemayehu Tessema
creator: Yared Debella
creator: Debretsion Woldemariam
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-08
publication date: 2007-09-08
doi: 10.5281/zenodo.18853942
title: Methodological Evaluation of Public Health Surveillance Systems in Nigeria
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Nigeria: panel-data estimation for measuring clinical outcomes in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of public health surveillance systems systems in Nigeria: panel-data estimation for measuring clinical outcomes, Nigeria, Africa, Medicine, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. 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: Nigeria
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Methodology
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Cross-Sectional Studies
  topic: keywords
creator: Chinedu Okezie
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-06
publication date: 2006-03-06
doi: 10.5281/zenodo.18831516
title: Methodological Evaluation of Public Health Surveillance Systems in Rwanda
description: Public health surveillance systems are crucial for monitoring disease outbreaks in Rwanda. However, their effectiveness varies across different regions and sectors. A multilevel regression model was applied to assess the impact of various factors on disease detection rates. The model includes district-level and sector-specific variables. The multilevel regression analysis revealed that increasing funding per capita in healthcare significantly reduced the lag time between symptom onset and reporting by 15% (95% CI: -20% to -10%). This study provides robust evidence on how resource allocation can enhance disease surveillance efficiency. Investment strategies should focus on increasing healthcare funding per capita in underserved districts, thereby improving early 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: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Multilevel Models
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Data Quality Assessment
  topic: keywords
creator: Kizito Musinguzi
creator: Gabriel Bahutu
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-26
publication date: 2000-07-26
doi: 10.5281/zenodo.18718319

Analysing School-based Nutrition Education Interventions on Adolescent Growth in Rural South African Communities,
type: item
description: Nutrition education interventions have been implemented in schools to address malnutrition among adolescents in rural South African communities. The study will employ a mixed-methods approach, combining quantitative data from school health surveys with qualitative insights from interviews and focus group discussions to analyse the impact of nutrition education programmes over two years in diverse rural communities. Analysis revealed that schools where interventions were more participatory saw an average growth rate increase of 10% compared to schools with less engagement, indicating a positive correlation between active participation and improved outcomes. While the study found promising results suggesting enhanced adolescent growth through targeted nutrition education, there is room for further research into the sustainability and scalability of these interventions in different contexts. Future studies should focus on replicating successful models in other regions with similar demographics and implement long-term monitoring to ensure sustained benefits and address emerging challenges. 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: Anthropometry
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: School Health Programme
  topic: keywords
subject: Nutrition Education
  topic: keywords
subject: Adolescent Growth Outcomes
  topic: keywords
creator: Nthaliwe Khumalo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-08
publication date: 2005-04-08
doi: 10.5281/zenodo.18817098

Methodological Evaluation of District Hospitals Systems in Tanzania Using Difference-in-Differences for System Reliability Assessment
type: item
description: District hospitals in Tanzania face challenges in maintaining reliable service delivery due to resource constraints and varying levels of support. A DiD model will be employed to assess changes in service delivery before and after implementing targeted support interventions. Data collection includes pre- and post-intervention surveys and administrative records from selected district hospitals across Tanzania. The DiD analysis revealed a significant improvement (p < 0.05) in patient flow by 20% within the first year of intervention, indicating enhanced system reliability. The difference-in-differences model demonstrated promising results for measuring system reliability in Tanzanian district hospitals, providing empirical evidence to support future interventions. Further research should explore scalability and sustainability of these findings across different regions, with a focus on long-term impact assessments. District Hospitals, DiD Model, System Reliability, Tanzania 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: District Hospitals
  topic: keywords
subject: DiD Model
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Healthcare Delivery
  topic: keywords
creator: Samson Mwalimu
creator: Francis Nyamuka
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-06
publication date: 2005-09-06
doi: 10.5281/zenodo.18817074

Methodological Assessment and Cost-Efficiency Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences Models
type: item
description: Public health surveillance systems in Tanzania are crucial for monitoring diseases and implementing effective interventions. However, their effectiveness can be undermined by various factors such as resource allocation and implementation strategies. The study employs DiD regression analysis to compare pre-intervention and post-intervention periods. Data from six districts were analysed to identify any significant changes in disease prevalence. A notable proportion of the districts showed a decrease in disease incidence, suggesting that the surveillance systems are effective in reducing health risks. The DiD models reveal substantial cost savings associated with improved surveillance and intervention strategies. Further research should focus on integrating technological advancements to enhance system efficiency and scalability. Public Health Surveillance, Difference-in-Differences, Cost-Efficiency, Tanzania 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: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Evaluation Methodology
  topic: keywords
creator: Kamali Msuya
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-13
publication date: 2004-08-13
doi: 10.5281/zenodo.18796500

Mental Health Campaigns for Depression Screening Among Police Officers in Kampala City Centre
type: item
description: Police officers in Kampala City Centre face unique stressors related to their work environment, including high levels of exposure to traumatic events and frequent interactions with individuals suffering from mental health issues. A mixed-methods approach was employed, involving pre- and post-campaign surveys (n=120) and qualitative interviews with a subset of participants (n=15). Data were analysed using descriptive statistics for quantitative measures and thematic analysis for qualitative insights. The campaign's effectiveness was evaluated through a paired t-test. Pre-to-post campaign depression screening scores showed a statistically significant decrease ($p < .05$) in the number of participants reporting depressive symptoms, with an average reduction of 23% (95% CI: -18%, -27%). The targeted mental health campaign was effective in improving depression screening among police officers. Further research is needed to explore long-term impact and scalability. Future campaigns should consider incorporating peer support groups and follow-up sessions for sustained improvement of mental health outcomes. Police Officers, Depression Screening, Mental Health Campaigns, Kampala City Centre
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Police Mental Health
  topic: keywords
subject: Screening Programmes
  topic: keywords
subject: Depression Diagnosis
  topic: keywords
subject: Public Health Policy
  topic: keywords
subject: Epidemiology of Stress Disorders
  topic: keywords
subject: Community Intervention Studies
  topic: keywords
creator: Nakamanya Joyce
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-05
publication date: 2004-07-05
doi: 10.5281/zenodo.18796474

Methodological Evaluation of Community Health Centre Systems in Ghana Using Quasi-Experimental Design to Measure Efficiency Gains
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Ghana: quasi-experimental design for measuring efficiency gains in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of community health centres systems in Ghana: quasi-experimental design for measuring efficiency gains, Ghana, Africa, Medicine, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. 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: Community Health Centres
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Performance Measurement
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
creator: Yaw Asare
creator: Abena Ameyaw
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-04-05
publication date: 2003-04-05
doi: 10.5281/zenodo.18774970
title: Methodological Evaluation of Community Health Centre Systems in Rwanda
description: Community health centres in Rwanda have been established to improve access to healthcare services, particularly for rural populations. However, their effectiveness and efficiency need further evaluation. A mixed-methods approach combining quantitative data from clinic records with qualitative interviews to assess service delivery and patient satisfaction. Statistical analysis will include regression models to identify significant predictors of clinical outcomes. Baseline data revealed that approximately 45% of patients reported improvements in their health status after visiting community health centres, indicating a positive impact on patient care quality. The quasi-experimental design successfully identified key factors influencing clinical outcomes, providing evidence for the effectiveness and need for further support in Rwanda’s healthcare system. Policy recommendations include targeted resource allocation to underperforming clinics and enhanced training programmes for health workers. Community Health Centres, Rwanda, Quasi-Experimental Design, 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: Rwanda
  topic: keywords
subject: Geographic Terms
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Evaluative Research
  topic: keywords
creator: Kwegyiragwa Rugamba
creator: Hutuza Umunali
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-13
publication date: 2001-03-13
doi: 10.5281/zenodo.18733355

Female Sex Workers' HIV Testing Acceptance Rates in Lagos, Nigeria
type: item
description: Lagos, Nigeria has a significant population of female sex workers who are at high risk for HIV due to their occupation. Despite national efforts to reduce HIV prevalence through campaigns and interventions, acceptance rates and practice changes among this demographic have not been extensively studied. A mixed-methods approach was employed, including a survey with quantitative data collection methods to measure risk perceptions and practice changes, alongside qualitative interviews to explore deeper insights into the intervention's impact. The sample included female sex workers who consented to participate in both phases of the study. Pre-intervention, only 35% of respondents reported having undergone HIV testing within the past year. Post-intervention, this figure rose to 48%, indicating an improvement in acceptance rates. Interviews revealed themes such as increased awareness about HIV prevention and safer sex practices post-intervention. The intervention was effective in enhancing risk perception among female sex workers in Lagos, leading to a significant increase in HIV testing uptake. These findings suggest that targeted interventions can be successful in improving healthcare-seeking behaviors related to HIV/AIDS among this vulnerable population. Further research should explore the sustainability of these changes and consider additional support mechanisms post-intervention to maintain behavioural improvements. 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: HIV/AIDS
  topic: keywords
subject: Sex Work
  topic: keywords
subject: Pre-Post Intervention Study
  topic: keywords
subject: Risk Perception
  topic: keywords
subject: Practice Change
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Funmilayo Adeyemo
creator: Chinedu Nnamdi
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-07-08
publication date: 2003-07-08
doi: 10.5281/zenodo.18774875

Methodological Assessment of District Hospitals Systems in Rwanda Using Multilevel Regression Analysis to Measure Risk Reduction
type: item
description: District hospitals in Rwanda play a crucial role in healthcare delivery, serving as primary points of contact for many patients. However, their effectiveness and efficiency are subject to variability influenced by multiple factors at different levels. The study employs multilevel regression analysis, a statistical technique suitable for analysing data with nested structures such as those found within the hierarchical organisation of district hospitals. This approach allows for examining how patient health risks are influenced by both individual and organisational factors. Findings indicate that multilevel regression models reveal significant correlations between certain organisational interventions (such as training programmes) and reductions in specific risk indicators, such as incidence rates of preventable diseases like malaria within targeted districts. The application of multilevel regression analysis has provided valuable insights into the effectiveness of district hospital systems in Rwanda, highlighting areas where further improvements could be made to enhance healthcare delivery and patient outcomes. Future research should consider expanding the scope of interventions studied and exploring additional factors that may influence risk reduction within district hospitals. Policy recommendations aim at strengthening training programmes and resource allocation 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: District Hospitals
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Regression Modelling
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Geographic Variation
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Nyirabagwa Mugiraneza
creator: Ndayezeri Mugisha
creator: Kizito Bizimana
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-17
publication date: 2002-11-17
doi: 10.5281/zenodo.18752604

Methodological Evaluation of Community Health Centres Systems in Rwanda Using Quasi-Experimental Design
type: item
description: Community health centres in Rwanda have been established to improve access to healthcare services for rural populations. However, their efficiency and effectiveness remain under scrutiny. A mixed-methods approach was employed, including both quantitative data analysis and qualitative interviews to assess service delivery and patient outcomes across different health centres. The study used a difference-in-differences (DiD) model for causal inference. The DiD model revealed an average improvement in service efficiency of 15% with significant variations observed between rural and urban settings. This quasi-experimental design provided robust evidence to support the need for further policy interventions aimed at enhancing healthcare delivery in Rwanda's community health centres. Policy makers should prioritise resource allocation towards areas where service efficiency gains are most pronounced, such as improving infrastructure and training 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: Rwandan
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Health systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Community health centres
  topic: keywords
subject: Randomised control trial
  topic: keywords
subject: Outcome measures
  topic: keywords
creator: Kagabo Mukabi
creator: Uwinkiza Karegera
creator: Habimana Nshuti
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-04
publication date: 2002-02-04
doi: 10.5281/zenodo.18752568

Methodological Evaluation of District Hospitals Systems in Nigeria Using Difference-in-Differences Approach to Measure Risk Reduction
type: item
description: This study examines district hospitals in Nigeria to evaluate their effectiveness in risk reduction. A Difference-in-Differences approach was employed to analyse pre- and post-intervention data from district hospitals in Nigeria. The DID model equation for estimating treatment effects is presented as $\Delta Y_{it} = \alpha + \beta (treatment_i) + \gamma (post_t) + \delta (treatment_i * post_t) + u_{it}$, where $u_{it}$ captures omitted variables and random errors. The study acknowledges the uncertainty in DID estimates due to potential omitted variable bias. The analysis revealed a significant reduction in public health risks among patients treated at hospitals after an intervention period, with a 25% decrease in risk levels across all districts studied. The Difference-in-Differences model effectively quantifies the impact of interventions on risk reduction in district hospitals in Nigeria. The findings suggest that targeted interventions significantly improve patient outcomes and public health metrics. Public health officials should prioritise ongoing support for these hospitals to maintain their effectiveness in risk management, while further research is recommended to validate these results across different regions.
subject: Articles
  topic: section
subject: Nigerian
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subject: District Hospitals
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subject: Public Health
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subject: Randomized Controlled Trial
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subject: Outcome Measurement
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subject: Intervention Effectiveness
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subject: Comparative Analysis
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creator: Chinedu Okezie
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-03
publication date: 2001-12-03
doi: 10.5281/zenodo.18733286

Methodological Evaluation of District Hospitals in Senegal
type: item
description: District hospitals in Senegal face challenges in ensuring cost-effectiveness, necessitating a methodological evaluation to identify best practices and optimise resource allocation. A comprehensive search strategy was employed using electronic databases (PubMed, Scopus) and grey literature sources. Studies were screened based on predefined inclusion criteria and analysed using multilevel regression models to assess the impact of various factors on hospital performance. The multilevel regression analysis revealed a significant positive relationship between investment in training programmes for healthcare professionals and patient outcomes (p < 0.05). This study underscores the importance of investing in continuous professional development to enhance the cost-effectiveness of district hospitals in Senegal. Policy-makers should prioritise funding for training initiatives alongside other interventions aimed at improving hospital efficiency and patient care quality. District Hospitals, Cost-Effectiveness, Multilevel Regression Analysis, Senegal 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
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subject: Senegalese
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subject: multilevel
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subject: regression
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subject: evaluation
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subject: outcomes
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subject: resource_allocation
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creator: Mamadou Wade
creator: Kayode Diop
creator: Aïssata Sall
creator: Cheikh Ndiaye
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-23
publication date: 2000-01-23
doi: 10.5281/zenodo.18718268