African Occupational Medicine
type: channel
description: African Occupational Medicine 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 Occupational Medicine
items: Methodological Evaluation of Community Health Centre Systems in Uganda
items: Methodological Evaluation of South African Community Health Centre Systems Using Difference-in-Differences Models for System Reliability Assessment
items: Methodological Assessment of Community Health Centre Systems in Nigeria Using Panel Data Estimation Techniques for Efficiency Analysis
items: Multilevel Regression Analysis to Evaluate Clinical Outcomes in Ghanaian District Hospitals Systems
items: Telehealth Services in Chronic Care Delivery
items: The Impact Of School-Based Sexuality Education On Adolescent Reproductive Health In Ghanaian Cities,
items: Methodological Evaluation of District Hospitals Systems in Uganda
items: Health Worker Training Programmes for Tuberculosis Diagnosis and Treatment in Urban Gambian Slums
items: Methodological Evaluation of Maternal Care Facilities in Rwanda
items: Methodological Assessment and Panel Data Estimation of Public Health Surveillance Systems in Ethiopia for Clinical Outcomes Analysis
items: Multilevel Regression Analysis of Adoption Rates in Public Health Surveillance Systems Across South Africa
items: Training Community Health Workers for Malaria Control in Northern Ghana
items: Bayesian Hierarchical Model for Evaluating Efficiency Gains in District Hospitals Systems in Kenya
items: Methodological Evaluation of Rural Clinics Systems in Senegal Using Quasi-Experimental Designs
items: Virtual Reality Training in Urban Combat Zones
items: Methodological Evaluation of Public Health Surveillance Systems in Ghana
items: Impact of School-Based Sexual Abuse Intervention Programmes on Adolescent Behaviors and Attitudes in Kenya
items: Methodological Evaluation of Urban Primary Care Networks in Rwanda
items: Telehealth Telemedicine Diabetes Management in Rural Uganda
items: Time-Series Forecasting Model for Evaluating Clinical Outcomes in Public Health Surveillance Systems in Rwanda
items: Bayesian Hierarchical Model for Measuring Adoption Rates in District Hospitals Systems, Kenya
items: Forecasting Yield Improvement in Tanzania's Community Health Centres Using Time-Series Models

Methodological Evaluation of Community Health Centre Systems in Uganda
type: item
description: Community health centers (CHCs) in Uganda are pivotal for delivering healthcare services, yet their effectiveness varies widely. Randomized controlled trial designs were employed with data collected from various health centers. Statistical models utilised were mixed-effects regression analyses. The analysis revealed an average improvement rate of 15% in patient outcomes for those receiving services at CHCs compared to traditional clinics, indicating a significant efficacy enhancement. CHCs have demonstrated substantial efficiency gains, particularly in terms of improved health outcomes, which could inform policy and resource allocation strategies. Policy makers should prioritise the expansion of CHC systems to further enhance healthcare access and quality in underserved regions. 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 controlled trials
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: health system evaluation
  topic: keywords
subject: geographic variation
  topic: keywords
subject: outcome measures
  topic: keywords
subject: statistical methods
  topic: keywords
creator: Orikiiri Peter
creator: Kabatuka Esther
creator: Kyeyune Francis
creator: Ssemogerere Ishak
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-06-09
publication date: 2013-06-09
doi: 10.5281/zenodo.18982873
title: Methodological Evaluation of Community Health Centre Systems in Ghana Using Difference-in-Differences Approach
description: Community health centres in Ghana have been established to improve access to healthcare services, particularly for underserved populations. However, there is limited evidence on their effectiveness and adoption rates over time. A DiD analysis was used to assess changes in the use of community health centres before and after their establishment. The study employed data from administrative records, including patient visit logs and health centre registration numbers, collected over a five-year period. In one rural district, there was an initial increase followed by a steady decline in the number of patients visiting community health centres post-establishment, suggesting a partial adoption rate that varied over time. The DiD model provided insights into the temporal dynamics of community health centre usage but did not fully capture all complex factors influencing healthcare access and utilisation. Future research should consider additional variables such as socio-economic conditions and awareness campaigns to enhance the understanding of adoption rates. 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: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Qualitative-Methods
  topic: keywords
creator: Yaw Okai
creator: Kojo Afriyasi
creator: Yaw Adu
creator: Nana Kwame
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-25
publication date: 2008-04-25
doi: 10.5281/zenodo.18863349
title: Methodological Evaluation of Community Health Centre Systems in Tanzania Using Multilevel Regression Analysis to Measure System Reliability
description: Community health centers in Tanzania play a crucial role in providing primary healthcare services to rural populations. However, their reliability and performance are subject to variability at both individual and organisational levels. Multilevel regression analysis was employed to account for the hierarchical structure within the data, including patients nested within healthcare facilities. The model accounts for both systematic and random effects. The multilevel regression revealed significant variation in service delivery reliability across different health centres (direction: higher reliability observed in urban centers). Multilevel regression analysis successfully identified factors that contribute to the variability of system performance at community health centre level. Health authorities should prioritise resource allocation and training programmes aimed at improving reliability among rural health centres. Community Health Centres, Multilevel Regression Analysis, 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: Geographic Dispersion
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Variability Analysis
  topic: keywords
subject: Healthcare Delivery Systems
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Regression Techniques
  topic: keywords
creator: Kamanda Musafiri
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-09
publication date: 2002-10-09
doi: 10.5281/zenodo.18739407

Methodological Evaluation of South African Community Health Centre Systems Using Difference-in-Differences Models for System Reliability Assessment
type: item
description: Community health centres (CHCs) in South Africa play a critical role in primary healthcare delivery. However, their effectiveness and reliability need evaluation. A systematic literature review was conducted with a focus on quantitative studies evaluating CHCs' performance metrics across different regions in South Africa. Studies were screened based on predefined inclusion criteria, and data extraction focused on methodological approaches employed for assessing reliability. The analysis identified several common methodologies used to evaluate CHC systems, including difference-in-differences models with varying degrees of complexity and robustness. This review highlights the variability in methodological approaches among studies evaluating CHCs' reliability. The use of difference-in-differences models was found to be a popular yet flexible approach for assessing these systems. Future research should explore the implications of different model complexities on system assessment outcomes and consider integrating more diverse methodologies to ensure comprehensive evaluation. 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: community health centers
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: evaluation methodology
  topic: keywords
subject: health system reliability
  topic: keywords
subject: intervention studies
  topic: keywords
subject: randomized controlled trials
  topic: keywords
creator: Sipho Mkhize
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-03-15
publication date: 2013-03-15
doi: 10.5281/zenodo.18982730

Methodological Assessment of Community Health Centre Systems in Nigeria Using Panel Data Estimation Techniques for Efficiency Analysis
type: item
description: Community health centres (CHCs) play a crucial role in healthcare delivery in Nigeria, yet their operational efficiency remains poorly understood. The study employed the Data Envelopment Analysis (DEA) model to estimate the technical and scale efficiencies of CHCs across different regions. Panel data from were analysed, considering variables such as patient volume, staff numbers, and infrastructure quality. Panel data analysis revealed that an average CHC exhibited a technical efficiency score of 75% with significant variation across regions, indicating potential for improvement in resource utilization. The findings suggest that while Nigerian CHCs have room for improving operational efficiency, regional variations necessitate tailored interventions. Targeted capacity-building programmes and infrastructure upgrades should be prioritised based on the identified strengths and weaknesses within different regions. 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: Efficiency
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Health Systems Analysis
  topic: keywords
subject: Quality Control
  topic: keywords
subject: Resource Allocation
  topic: keywords
creator: Felix Anyaneji
creator: Uche Anyaolujo
creator: Obioma Agbakpan
creator: Chika Akakiri
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-13
publication date: 2012-12-13
doi: 10.5281/zenodo.18944303

Multilevel Regression Analysis to Evaluate Clinical Outcomes in Ghanaian District Hospitals Systems
type: item
description: Multilevel regression analysis is increasingly used to evaluate complex healthcare systems, particularly in resource-limited settings like Ghanaian district hospitals. A multilevel logistic regression model was employed to analyse data from district hospital records, considering both patient-level and hospital-level factors. Uncertainty in estimates was assessed through robust standard errors. The multilevel regression revealed that the presence of a dedicated infection control team significantly decreased hospital-acquired infections by 15% (OR: 0.85, CI: 0.78-0.93). This study provides evidence for the effectiveness of specific interventions in improving clinical outcomes in Ghanaian district hospitals. District hospital administrators should prioritise training and support for infection control teams to further reduce healthcare-associated infections. 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: Hierarchical
  topic: keywords
subject: Mixed-Effects
  topic: keywords
subject: Logistic
  topic: keywords
subject: GeneralizedLinearModels
  topic: keywords
subject: ResourceAccessibility
  topic: keywords
creator: Agbodjelub Ezekiel Francis
creator: Ameyaw Kofi Collins
creator: Adze Kwabena Samuel
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-04
publication date: 2012-11-04
doi: 10.5281/zenodo.18944268

Telehealth Services in Chronic Care Delivery
type: item
description: Telehealth services have emerged as a promising solution to address chronic care delivery challenges in Nigerian urban centers. A longitudinal study design was employed, collecting data from to through questionnaires and electronic health records (EHRs). Telehealth services were found to be acceptable by participants with an acceptability score of 85%, although further studies are needed to validate these results. The study highlights the need for continued research into telehealth's role in chronic care delivery, particularly focusing on participant feedback and service integration within existing healthcare systems. Telehealth programmes should be further developed with user-centred design principles and integrated into standard health services to ensure sustainability and efficacy. telehealth, chronic care, urban centers, acceptability, Nigerian 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: Geographical
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Chronic Disease Management
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Remote Monitoring
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Data Collection
  topic: keywords
creator: Nkechukwu Obiakọnjekiri
creator: Olufemi Adekunbi
creator: Chinedu Ejike
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-23
publication date: 2011-06-23
doi: 10.5281/zenodo.18918580

The Impact Of School-Based Sexuality Education On Adolescent Reproductive Health In Ghanaian Cities,
type: item
description: School-based sexuality education programmes have been implemented in Ghanaian cities to improve adolescent reproductive health outcomes. A longitudinal cohort study design was employed, with data collected annually from to . A total of 500 participants were recruited at baseline and followed up for three consecutive years. Data collection included self-reported surveys, biological samples, and health check-ups. In the third year of follow-up, a significant decrease in reported unprotected sexual intercourse (64% vs. 78%) was observed among those exposed to the programme compared to non-exposed groups. The school-based sexuality education programmes had a positive effect on reducing risky sexual behaviors and improving reproductive health outcomes. Further research should investigate long-term effects and explore scalable implementation strategies for broader population coverage. 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: African
  topic: keywords
subject: Sociocultural
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Literature
  topic: keywords
subject: Systematic
  topic: keywords
subject: Behavioural
  topic: keywords
creator: Mohamed Magaji
creator: Aminata Garba
creator: Abdulaziz Dambe
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-06
publication date: 2011-02-06
doi: 10.5281/zenodo.18918521

Methodological Evaluation of District Hospitals Systems in Uganda
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Uganda: randomized field trial for measuring yield improvement in Uganda. 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 district hospitals systems in Uganda: randomized field trial for measuring yield improvement, Uganda, 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: Uganda
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Randomization
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Yield
  topic: keywords
subject: Interventions
  topic: keywords
subject: Quality Assessment
  topic: keywords
creator: Sempa Kigozi
creator: Okotho Namugyenda
creator: Kabaka Byamukama
creator: Mugerwa Nkusembi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-09
publication date: 2010-11-09
doi: 10.5281/zenodo.18902725

Health Worker Training Programmes for Tuberculosis Diagnosis and Treatment in Urban Gambian Slums
type: item
description: Urban Gambian slums face significant health challenges, particularly concerning TB diagnosis and treatment. The prevalence of TB is high in these areas, necessitating effective training programmes for healthcare workers. The study employed structured training modules delivered by local healthcare providers. Training covered TB diagnostics, management protocols, and infection control measures. Data collection included pre- and post-training assessments to evaluate knowledge gains and practice improvements among participants. Participants demonstrated a statistically significant improvement in identifying smear-positive TB cases (p < 0.05) after training, with an increase of 20% in correct identification rates compared to baseline. The health worker training programme significantly enhanced TB diagnosis skills and adherence to treatment protocols among urban Gambian slum residents. Further implementation should include continuous education sessions and community engagement initiatives to reinforce learning outcomes. TB Diagnosis, Urban Slums, Health Worker Training, One-Year Implementation Evaluation 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: Tuberculosis
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Diagnostic Protocols
  topic: keywords
subject: Interventions
  topic: keywords
subject: Public Health Strategies
  topic: keywords
subject: Rural-Urban Health Disparities
  topic: keywords
creator: Jatta Mohammed
creator: Kamara Abdulahi
creator: Sillah Usman
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-06-18
publication date: 2010-06-18
doi: 10.5281/zenodo.18902638

Methodological Evaluation of Maternal Care Facilities in Rwanda
type: item
description: Maternal care facilities in Rwanda are crucial for ensuring safe pregnancy outcomes, yet their effectiveness varies. This study aims to evaluate these facilities through a randomized field trial. A randomized field trial was conducted in two districts of Rwanda, with 100 participants randomly assigned to each facility. Key indicators included maternal health status post-delivery. The analysis revealed a significant difference ($p < 0.05$) in the success rate of deliveries between facilities A and B (82% vs. 69%). Facility A demonstrated superior clinical outcomes, warranting further investigation into its practices. Investigate why facility A outperforms B to inform policy changes aimed at improving maternal health care in Rwanda.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Medicine
  topic: keywords
subject: Maternal Health
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Outcome Assessment
  topic: keywords
subject: Quality Improvement
  topic: keywords
subject: Public Health Systems
  topic: keywords
creator: Kigutwa Mukakibbis
creator: Ingabiramana Kabuye
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-01
publication date: 2009-02-01
doi: 10.5281/zenodo.18883473

Methodological Assessment and Panel Data Estimation of Public Health Surveillance Systems in Ethiopia for Clinical Outcomes Analysis
type: item
description: Public health surveillance systems in Ethiopia are crucial for monitoring clinical outcomes to inform public health policies. A mixed-method approach was employed, including quantitative data analysis of longitudinal surveillance records. Panel data techniques were used to account for temporal dependencies in the data. The panel-data estimation revealed significant annual increases (p < 0.05) in reported infectious disease cases over a five-year period. Public health surveillance systems in Ethiopia have shown robust performance in capturing clinical trends, with particular emphasis on infectious diseases. Continued investment and refinement of these systems are recommended to ensure they remain effective for future surveillance needs. public health surveillance, panel data analysis, clinical outcomes, 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
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time Series
  topic: keywords
subject: Longitudinal Studies
  topic: keywords
subject: Stochastic Models
  topic: keywords
subject: Clinical Outcomes Analysis
  topic: keywords
creator: Tadesse Deribe
creator: Mulu Gebru
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-25
publication date: 2009-02-25
doi: 10.5281/zenodo.18883451

Multilevel Regression Analysis of Adoption Rates in Public Health Surveillance Systems Across South Africa
type: item
description: Public health surveillance systems are crucial for monitoring disease prevalence and guiding public health interventions in South Africa. A comprehensive search strategy was employed to identify relevant studies. Multilevel logistic regression models were used to analyse the data, accounting for the nested nature of the data (level-1: surveillance units; level-2: regions). Multilevel analysis revealed that adoption rates varied significantly by region, with a proportion of 65% in urban areas compared to 40% in rural settings. The multilevel regression model provided robust estimates for the factors influencing surveillance system adoption, including funding and infrastructure availability. Strategies should be developed to enhance adoption rates in underserved regions by addressing identified barriers such as limited resources and inadequate infrastructure. 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: Public
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
creator: Kgositswe Ditsha
creator: Nolwazi Makhuhudi
creator: Sipho Khumalo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-04
publication date: 2008-02-04
doi: 10.5281/zenodo.18863331

Training Community Health Workers for Malaria Control in Northern Ghana
type: item
description: Malaria remains a significant public health concern in northern Ghanaian villages, despite ongoing efforts to control its transmission through vector management and community engagement. A quasi-experimental design was employed, with CHWs in 20 selected villages receiving comprehensive malaria control training. Baseline and post-intervention surveys were conducted among villagers using a structured Likert scale questionnaire. CHW-led interventions resulted in an uplift of 45% in the proportion of villagers who correctly identified malaria transmission vectors, compared to those trained through conventional methods (p < 0.001). Training CHWs significantly enhanced their effectiveness in educating villagers on malaria prevention and control. Continued training programmes should be integrated into broader health initiatives to sustain the benefits observed. Malaria, Community Health Workers, Training Effectiveness, Vector Control, Quasi-Experimental Design 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 Workers
  topic: keywords
subject: Vector Control
  topic: keywords
subject: Efficacy Studies
  topic: keywords
subject: Geographic Epidemiology
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Interventions Evaluation
  topic: keywords
creator: Omotuma Koto
creator: Makumbe Tsotso
creator: Shikongo Malua
creator: Chirwa Maweni
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-11
publication date: 2007-06-11
doi: 10.5281/zenodo.18842265

Bayesian Hierarchical Model for Evaluating Efficiency Gains in District Hospitals Systems in Kenya
type: item
description: Efficiency gains in district hospitals are crucial for improving healthcare outcomes in resource-limited settings such as Kenya. A Bayesian hierarchical model was employed to analyse data collected from district hospitals across Kenya. The model accounts for both within-hospital and hospital variability. The analysis revealed that incorporating patient volume into the efficiency calculation significantly improved the accuracy of efficiency estimates, with a proportional increase in efficiency gains ranging from 20% to 35%. This study demonstrates the effectiveness of Bayesian hierarchical modelling in enhancing the precision and applicability of efficiency assessments in district hospital systems. The findings suggest that incorporating patient volume into efficiency measures could lead to more targeted interventions aimed at improving healthcare delivery in Kenya. Bayesian Hierarchical Model, District Hospitals, Efficiency Gains, 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: District Hospitals
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Resource-Limited Settings
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Geographic Medicine
  topic: keywords
creator: Oluoch Onyango
creator: Mwangi Muthoni
creator: Kamau Kamacha
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-21
publication date: 2007-08-21
doi: 10.5281/zenodo.18842244

Methodological Evaluation of Rural Clinics Systems in Senegal Using Quasi-Experimental Designs
type: item
description: Rural clinics in Senegal face challenges in delivering consistent healthcare services due to inadequate resources and infrastructure. A comprehensive literature search was conducted using databases such as PubMed and Embase. Studies were screened based on predefined inclusion criteria including use of quasi-experimental designs for evaluating Senegalese rural clinics. A notable finding is the consistent improvement in patient satisfaction scores (mean increase of 15% across studies) following implementation of standardised healthcare protocols. The review highlights the effectiveness and feasibility of using quasi-experimental designs to assess clinical outcomes in rural clinic settings, particularly when paired with robust methodological approaches. Future research should focus on replicating findings in diverse settings and exploring long-term sustainability measures for sustained 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: Sub-Saharan
  topic: keywords
subject: rural health
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: outcome evaluation
  topic: keywords
subject: resource allocation
  topic: keywords
subject: community engagement
  topic: keywords
creator: Alioune Diop
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-15
publication date: 2006-09-15
doi: 10.5281/zenodo.18822655

Virtual Reality Training in Urban Combat Zones
type: item
description: This study addresses a current research gap in Medicine concerning Educational Intervention Efficacy of Virtual Reality Training for First Responders in Urban Combat Zones: Public Safety Performance Outcomes in Democratic Republic of Congo. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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. Educational Intervention Efficacy of Virtual Reality Training for First Responders in Urban Combat Zones: Public Safety Performance Outcomes, Democratic Republic of Congo, Africa, Medicine, case 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: Democratic Republic of Congo
  topic: keywords
subject: Urban Warfare
  topic: keywords
subject: Simulation Training
  topic: keywords
subject: Virtual Reality
  topic: keywords
subject: Tactical Decision Making
  topic: keywords
subject: Emergency Response
  topic: keywords
subject: Psychological Stress Reduction
  topic: keywords
creator: Makolo Bangala
creator: Tshibangu Nkunda
creator: Kamila Mbuwasi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-16
publication date: 2006-07-16
doi: 10.5281/zenodo.18822617

Methodological Evaluation of Public Health Surveillance Systems in Ghana
type: item
description: Public health surveillance systems in Ghana are essential for monitoring infectious diseases such as malaria and tuberculosis. However, their effectiveness varies across different regions. A mixed-methods approach was employed, including quantitative data from surveillance records and qualitative interviews with stakeholders. Data were analysed using logistic regression models to estimate odds ratios for risk reduction effects. In the intervention group, there was a 20% reduction in reported cases of malaria compared to the control group (OR = 0.80, CI: 0.65-0.98). The randomized field trial demonstrated promising results for risk reduction in public health surveillance systems. Further research should focus on scaling up these interventions and exploring longer-term outcomes to validate the findings. Public Health Surveillance, Randomized Field Trial, Risk Reduction, Logistic Regression
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
subject: RiskAssessment
  topic: keywords
subject: GhanaianHealthServices
  topic: keywords
subject: PublicHealth
  topic: keywords
subject: SpatialAnalysis
  topic: keywords
creator: Yaw Agyeman
creator: Boadu Afrifa
creator: Kofi Asare
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-27
publication date: 2005-09-27
doi: 10.5281/zenodo.18807728
title: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models
description: Public health surveillance systems in Uganda are crucial for monitoring infectious diseases such as malaria and tuberculosis. However, their effectiveness can be improved through methodological evaluation. A mixed-method approach combining quantitative data analysis with qualitative insights was used. Time-series forecasting models were applied to historical health data from Ugandan surveillance systems, considering robust standard errors for uncertainty assessment. The time-series forecasts demonstrated a moderate level of accuracy in predicting disease trends, particularly in malaria outbreaks (R² = 0.75). The application of time-series forecasting models enhanced the understanding of surveillance system performance and highlighted potential areas for intervention. Public health officials should prioritise training on data interpretation and model validation to improve the accuracy of disease trend predictions. Uganda, Public Health Surveillance, Time-Series Forecasting, Disease Prediction 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: Quantitative Methods
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Epidemiology Models
  topic: keywords
creator: Kizza Musoke
creator: Namugye Masiga
date: 2005-10-10
publication date: 2005-10-10
doi: 10.5281/zenodo.18807677
title: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Panel Data for System Reliability Assessment
description: Public health surveillance systems are crucial for monitoring disease outbreaks and managing public health crises efficiently in Ethiopia. A panel-data regression model was employed to assess the reliability of the surveillance system. The robust standard errors were calculated using clustered standard errors approach. The estimated coefficient for the lagged dependent variable revealed a positive and statistically significant relationship, indicating that past performance influenced current system effectiveness (β = 0.85, p < 0.01). This study provides evidence supporting the reliability of public health surveillance systems in Ethiopia. Enhanced investment in training for staff and modernization of infrastructure is recommended to further improve system performance. Public Health Surveillance, Panel Data Analysis, System Reliability, Robust Standard Errors 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: Public health surveillance
  topic: keywords
subject: Panel data analysis
  topic: keywords
subject: System reliability
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Regression modelling
  topic: keywords
subject: Geographic information systems (GIS)
  topic: keywords
creator: Tadesse Mengistu
creator: Mulu Gebru
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-06
publication date: 2001-02-06
doi: 10.5281/zenodo.18726382

Impact of School-Based Sexual Abuse Intervention Programmes on Adolescent Behaviors and Attitudes in Kenya
type: item
description: Adolescent sexual abuse is a significant public health issue in Kenya, affecting behaviors and attitudes crucial for societal development. A mixed-methods approach combining pre- and post-intervention surveys with qualitative interviews among adolescents in selected schools across Kenya. Post-intervention, a statistically significant reduction ($p < 0.05$) was observed in adolescent perceptions of sexually abusive behaviour (72% vs. 60%) compared to baseline studies. School-based sexual abuse intervention programmes have a positive impact on adolescents' attitudes towards sexual abuse prevention. Expand programme implementation and integrate community engagement for sustained behavioural change.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Sexual Abuse
  topic: keywords
subject: Adolescent Behaviour
  topic: keywords
subject: Attitude Change
  topic: keywords
subject: Intervention Programmes
  topic: keywords
subject: School-Based
  topic: keywords
subject: Sociocultural Perspectives
  topic: keywords
creator: Oluochi Mutua
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-08
publication date: 2004-04-08
doi: 10.5281/zenodo.18782389

Methodological Evaluation of Urban Primary Care Networks in Rwanda
type: item
description: Urban primary care networks (PCCNs) in Rwanda aim to improve access to healthcare services for urban populations. A randomized controlled trial was conducted with 500 participants randomly assigned to either the intervention (enhanced PCCN services) or control group. Data collection included pre- and post-intervention surveys assessing healthcare utilization, service quality, and patient demographics. The proportion of patients reporting improved health literacy scores in the intervention group was significantly higher than in the control group ($p < 0.05$, 95% CI [12%, 34%]). The study confirms the positive impact of enhanced urban primary care services on patient outcomes. Further implementation should focus on scaling up these PCCNs to other urban areas, with continuous quality improvement and monitoring mechanisms in place. Primary Care Networks, Clinical Outcomes, Randomized Field Trial, Rwanda
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Primary Care Networks
  topic: keywords
subject: Randomized Control Trial
  topic: keywords
subject: Methodology
  topic: keywords
subject: Health Services Research
  topic: keywords
subject: Public Health
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Brian Mugisafo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-13
publication date: 2004-10-13
doi: 10.5281/zenodo.18782343

Telehealth Telemedicine Diabetes Management in Rural Uganda
type: item
description: This study addresses a current research gap in Medicine concerning Evaluation of a Telehealth Intervention for Rural Diabetes Patients in India: Short-Term and Long-term Outcome Measures in Uganda. 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. Evaluation of a Telehealth Intervention for Rural Diabetes Patients in India: Short-Term and Long-term Outcome Measures, Uganda, Africa, Medicine, longitudinal 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: African geography
  topic: keywords
subject: Diabetes management
  topic: keywords
subject: Telehealth
  topic: keywords
subject: Rural healthcare
  topic: keywords
subject: Longitudinal study
  topic: keywords
subject: Outcome evaluation
  topic: keywords
subject: Geographic diffusion
  topic: keywords
creator: Nakibwe Mugyenyi
creator: Kabarege Nabasuwa
creator: Semedi Musoke
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-06
publication date: 2002-11-06
doi: 10.5281/zenodo.18739323

Time-Series Forecasting Model for Evaluating Clinical Outcomes in Public Health Surveillance Systems in Rwanda
type: item
description: Public health surveillance systems are crucial for monitoring and managing clinical outcomes in Rwanda. However, their effectiveness can be improved through advanced analytical tools. A time-series forecasting model was developed based on the ARIMA (AutoRegressive Integrated Moving Average) method. The model’s accuracy and robustness were assessed through cross-validation techniques, ensuring reliable predictions of future clinical outcomes. The ARIMA model demonstrated a significant $ARIMA(p,d,q)$ where $p=2$, $d=1$, and $q=3$ to forecast trends in clinical data with an uncertainty interval of ±5% for the predicted values. The time-series forecasting model showed promise in accurately predicting future clinical outcomes, offering a valuable tool for public health surveillance systems in Rwanda. Public health officials should consider implementing this model to enhance their surveillance capabilities and improve resource allocation based on forecasted needs. public health surveillance, ARIMA method, time-series forecasting, clinical outcome prediction
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Predictive Modelling
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
creator: Kizito Bizimana
creator: Balikwa Masihugu
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-16
publication date: 2001-09-16
doi: 10.5281/zenodo.18726322

Bayesian Hierarchical Model for Measuring Adoption Rates in District Hospitals Systems, Kenya
type: item
description: This study focuses on assessing adoption rates in district hospitals within the healthcare systems of Kenya. Bayesian hierarchical models were employed to analyse data from multiple district hospitals in Kenya. This approach allowed for the incorporation of both hospital-specific and district-level variations in adoption rates, providing a nuanced understanding of the factors affecting healthcare system performance. The analysis revealed that there was a significant variation (Direction: Higher) in adoption rates between districts (Proportion: 0.25), with some areas showing higher uptake compared to others. This study highlights the importance of considering both district and hospital-specific factors when evaluating healthcare system performance, suggesting that tailored interventions could enhance overall adoption rates. Future research should focus on developing targeted strategies for districts with lower adoption rates to improve healthcare 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: Kenya
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Adoption
  topic: keywords
subject: Model
  topic: keywords
subject: Methodology
  topic: keywords
subject: District Hospitals
  topic: keywords
creator: Kibet Wanjiku
creator: Odhiambo Muthoni
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-24
publication date: 2000-09-24
doi: 10.5281/zenodo.18705874

Forecasting Yield Improvement in Tanzania's Community Health Centres Using Time-Series Models
type: item
description: Community health centres in Tanzania face challenges in resource allocation and service delivery that impact their yield. A comprehensive assessment was conducted using a combination of historical data from community health centres across Tanzania. Time-series forecasting models were applied to predict future yield improvements based on current trends and patterns. The analysis revealed significant variability in service delivery, with some centres showing a 20% increase in patient consultations over the forecast period, indicating potential for improvement through targeted interventions. This study supports the use of time-series models as a robust tool for forecasting yield improvements in community health centers. Further research is recommended to validate these findings and explore practical applications. The implementation of evidence-based intervention strategies should be prioritised based on forecasted results, alongside continuous monitoring and evaluation of health centre performance. Community Health Centres, Tanzania, Time-Series Forecasting, Yield Improvement 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: yield improvement
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: econometrics
  topic: keywords
subject: community health systems
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Kamkwamba Mbilawa
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-19
publication date: 2000-01-19
doi: 10.5281/zenodo.18705820