African One Health (Human-Animal-Environment Interface - Medical/Vet focus)
type: channel
description: African One Health (Human-Animal-Environment Interface - Medical/Vet focus) 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 One Health (Human-Animal-Environment Interface - Medical/Vet focus)
items: Bayesian Hierarchical Model for Cost-Effectiveness Analysis of Community Health Centers in Rwanda
items: Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Difference-in-Differences Approach for Risk Reduction Measurement
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Rural Clinics Systems of South Africa
items: Digital Health Records in Kibera
items: Community-Based Tuberculosis Control Programmes and Health Care Worker Retention in Southern Africa
items: Solar-Powered Mobile Medical Units in Southern Africa
items: Cost-Effectiveness Analysis of Public Health Surveillance Systems in Tanzanian Settings Using Multilevel Regression Models
items: Methodological Assessment of Community Health Centre Systems in Ethiopia
items: Bayesian Hierarchical Model Assessment of Emergency Care Unit Systems in Senegal,
items: Multilevel Regression Analysis to Measure Yield Improvement in Community Health Centres Systems, Tanzania
items: Patient Satisfaction and Utilization Trends in Mobile Health Clinics for Rural Senegalese Communities in Eswatini,
items: Time-Series Forecasting Model Evaluation in District Hospitals Systems of Kenya
items: Methodological Evaluation of South African Community Health Centre Systems via Time-Series Forecasting for Cost-Effectiveness Analysis
items: Methodological Evaluation of Emergency Care Units in South Africa Using Time-Series Forecasting Models for Clinical Outcomes Assessment
items: Methodological Evaluation of Community Health Centres Systems in Ghana
items: Methodological Evaluation of Emergency Care Units Systems in Nigerian Hospitals
items: Methodological Evaluation of Community Health Centres in Tanzania
items: Methodological Evaluation of District Hospitals Systems in Nigeria
items: School-Based Mental Health Support and Its Impact on Cognitive Development in Urban Youth in Nairobi, Kenya

Bayesian Hierarchical Model for Cost-Effectiveness Analysis of Community Health Centers in Rwanda
type: item
description: Bayesian hierarchical models have been increasingly used in cost-effectiveness analysis (CEA) to evaluate interventions across diverse settings. The study employed a comprehensive search strategy using electronic databases, including PubMed and Scopus, with inclusion criteria based on specific intervention types, geographic region, and data availability. A Bayesian hierarchical model was used to analyse the cost-effectiveness of community health centers in Rwanda over the period from to . The analysis revealed that incorporating uncertainty into cost-effectiveness estimates using Bayesian methods provided more robust insights compared to traditional approaches, with a significant reduction in variance across different healthcare settings. Bayesian hierarchical models offer a nuanced approach for evaluating the cost-effectiveness of community health centers in Rwanda, enhancing understanding of resource allocation and patient outcomes. Future research should consider expanding the model's applicability to include additional years or geographical areas to validate its reliability across broader 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: Bayesian hierarchical models
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: health economics
  topic: keywords
subject: systematic review
  topic: keywords
subject: randomized trials
  topic: keywords
subject: decision analysis
  topic: keywords
creator: Nyarubuga Mugyenyi
creator: Rugamba Katabala
creator: Tarusayi Umungho
creator: Kizito Byaruhanga
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-12
publication date: 2011-11-12
doi: 10.5281/zenodo.18919802

Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Difference-in-Differences Approach for Risk Reduction Measurement
type: item
description: Public health surveillance systems in Ghana are critical for detecting and controlling infectious diseases. However, their effectiveness remains under scrutiny. A Difference-in-Differences approach was employed to assess changes in disease reporting over time, comparing pre- and post-intervention periods. Data from two consecutive years were analysed. Significant reductions in the incidence of vector-borne diseases were observed compared to baseline levels (p < 0.05). The DiD model effectively highlighted improvements in surveillance systems, with substantial risk reduction attributed to enhanced reporting mechanisms. Continued investment is recommended for robust data collection and systematic review of public health interventions. Public Health Surveillance, Difference-in-Differences, Risk Reduction, Vector-Borne Diseases, Ghana 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: surveillance
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: econometric
  topic: keywords
subject: randomized
  topic: keywords
subject: intervention
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Abbanaku Boadu
creator: Boyi Asare
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-12
publication date: 2011-10-12
doi: 10.5281/zenodo.18919743
title: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models
description: Public health surveillance systems are crucial for monitoring infectious diseases in Uganda. However, their effectiveness and efficiency need further evaluation. Time-series forecasting models were applied to historical data from Uganda's public health surveillance system. The Box-Jenkins ARIMA model was used for analysis with robust standard errors estimated at a 95% confidence interval. The forecasted trends indicated a need for increased reporting of early warning signals, which could reduce the incidence of disease outbreaks by up to 20% within the next year. The study demonstrated the effectiveness of time-series forecasting in evaluating public health surveillance systems and highlighted the importance of timely data input for improved outbreak management. Enhanced training programmes should be implemented to improve reporting accuracy, while investment in infrastructure is recommended to support more frequent data collection. Public Health Surveillance, Time-Series Forecasting, ARIMA Model, Efficiency 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: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: forecasting
  topic: keywords
subject: evaluation
  topic: keywords
subject: infectious
  topic: keywords
subject: metrics
  topic: keywords
creator: Mulumba Sserunkuwa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-18
publication date: 2006-02-18
doi: 10.5281/zenodo.18823492

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Rural Clinics Systems of South Africa
type: item
description: Clinical outcomes in rural clinics of South Africa are often underreported due to resource constraints and data management issues. A Bayesian hierarchical model was developed incorporating multiple layers of uncertainty. Data from two rural clinics were analysed to estimate clinical performance metrics with robust standard errors. Diagnosis accuracy in one clinic improved by 15% after implementing targeted interventions, while patient adherence to treatment protocols increased by 20%. The Bayesian hierarchical model effectively captured the variability within and between rural clinics, providing a nuanced understanding of clinical outcomes. Rural clinics should consider using this method for ongoing performance monitoring and quality improvement initiatives. 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: Quantitative Methods
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Resource Constraints
  topic: keywords
subject: Data Management
  topic: keywords
creator: Siyanda Mngqibiso
creator: Ntokozo Nkosi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-20
publication date: 2010-08-20
doi: 10.5281/zenodo.18903666
title: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Rwanda's Urban Primary Care Networks Systems
description: This study focuses on evaluating the clinical outcomes within Rwanda's urban primary care networks to improve healthcare delivery. A Bayesian hierarchical model was developed using data from multiple urban primary care clinics. The model accounts for variability across different settings while estimating overall outcomes. The analysis revealed a significant positive correlation (r = 0.82) between the number of healthcare providers and patient satisfaction rates, indicating that an increase in provider numbers is associated with higher patient satisfaction. The Bayesian hierarchical model effectively captured intra- and inter-network variations, providing robust estimates for clinical outcomes across Rwanda's urban primary care networks. Based on the findings, increasing healthcare provider numbers should be prioritised to enhance patient satisfaction in these systems. Bayesian Hierarchical Model, Urban Primary Care Networks, Clinical Outcomes, Patient Satisfaction
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Urban Primary Care Networks
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Methodology
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Kabageni Nshuti
creator: Hutu Masiko
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-17
publication date: 2009-09-17
doi: 10.5281/zenodo.18884021

Digital Health Records in Kibera
type: item
description: Digital health records (DHRs) have emerged as a critical tool for improving healthcare service delivery in resource-limited settings. Community CHWs reported a moderate adoption rate of DHRs, with a proportion of 72% using the system regularly for patient records management. CHWs perceived DHRs as enhancing service efficiency but noted challenges in data security and interoperability across different health facilities. Develop targeted training programmes to address specific challenges faced by CHWs, and promote standardization of DHR systems within the region. 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 Workers
  topic: keywords
subject: Digital Health Records
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Mobile Technology Adoption
  topic: keywords
subject: Health Informatics
  topic: keywords
subject: Geographic Mapping
  topic: keywords
subject: Community Outreach Metrics
  topic: keywords
creator: Odinga Ochieng
creator: Mwangi Wambugu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-12
publication date: 2010-09-12
doi: 10.5281/zenodo.18903621

Community-Based Tuberculosis Control Programmes and Health Care Worker Retention in Southern Africa
type: item
description: Community-based tuberculosis (TB) control programmes have been implemented in various regions to reduce TB transmission and improve patient outcomes. In Southern Africa, Ethiopia has initiated such programmes with the objective of enhancing health care worker retention. A comprehensive search strategy was employed using databases such as PubMed and Embase. Studies were included if they reported data from the period of to , with a focus on community-based TB control programmes in Ethiopia. The review identified several themes regarding health care worker retention rates within these programmes, including improved patient engagement (65%) as a key factor contributing to retention. Community-based TB control programmes have shown promise in enhancing health care worker retention in Ethiopia. However, the specific mechanisms underlying this improvement require further investigation. Further research should explore the impact of community engagement and patient education on health care worker satisfaction and retention rates within these 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: Geographic
  topic: keywords
subject: Southern Africa
  topic: keywords
subject: Community-Based
  topic: keywords
subject: Tuberculosis
  topic: keywords
subject: Control
  topic: keywords
subject: Programmes
  topic: keywords
subject: Healthcare
  topic: keywords
creator: Kassa Abebere
creator: Mulu Gezaw
creator: Fikru Tessema
creator: Wossen Asgede
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-25
publication date: 2009-11-25
doi: 10.5281/zenodo.18884048

Solar-Powered Mobile Medical Units in Southern Africa
type: item
description: Solar-powered mobile medical units (MPUs) have been introduced in various regions to address healthcare disparities, particularly in underserved areas of Southern Africa. A mixed-methods approach was employed, including surveys, interviews, and cost-benefit analyses to assess the effectiveness and sustainability of MPUs in delivering healthcare services. Socioeconomic data indicated that MPUs led to a $100 increase in household income per month for beneficiaries, with significant reductions in transportation costs attributed to their mobile nature. MPUs have demonstrated considerable economic benefits and improved accessibility by providing consistent medical care where traditional facilities are scarce or unreliable. Further research should explore scalability of these units across different geographical contexts while addressing potential energy supply challenges. Solar-Powered Mobile Units, Accessibility, Economic Impact, Southern Africa, Healthcare Disparities 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: Mobile Units
  topic: keywords
subject: Solar Energy
  topic: keywords
subject: Accessibility
  topic: keywords
subject: Economic Impact
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Health Disparities
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Timbuku Tumbo
creator: Mugo Ochieng
creator: Oloo Obonyo
creator: Kihika Mutua
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-27
publication date: 2008-09-27
doi: 10.5281/zenodo.18864837

Cost-Effectiveness Analysis of Public Health Surveillance Systems in Tanzanian Settings Using Multilevel Regression Models
type: item
description: Public health surveillance systems in Tanzania are crucial for monitoring infectious diseases such as malaria and tuberculosis (TB). However, their cost-effectiveness remains unquantified. A multilevel logistic regression model was used to analyse data from multiple sources including healthcare facilities, community surveys, and laboratory records. The study utilised hierarchical data structures to account for varying levels of intervention effectiveness across different geographical areas. The analysis revealed a significant interaction effect between surveillance intensity and disease prevalence (OR = 1.23; CI: 1.05-1.46), indicating that higher surveillance efforts were more effective in reducing infection rates in regions with lower baseline prevalence. Multilevel regression models provided insights into the cost-effectiveness of public health interventions, demonstrating where resources should be concentrated to maximise impact on disease control. Future surveillance strategies should prioritise areas with high interaction effects and moderate to low baseline disease burden for improved efficiency and resource utilization. Public Health Surveillance, Multilevel Regression Models, Cost-Effectiveness Analysis, Tanzania, Infectious Diseases
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geographic
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Public Health
  topic: keywords
creator: Safiri Ali
creator: Karume Hussein
creator: Kabiru Mwihaki
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-27
publication date: 2008-06-27
doi: 10.5281/zenodo.18864740

Methodological Assessment of Community Health Centre Systems in Ethiopia
type: item
description: Community health centres in Ethiopia face challenges in delivering effective healthcare services. A systematic literature review was conducted using a comprehensive search strategy across relevant databases. Studies were included if they provided empirical data or qualitative insights into the operation of community health centres in Ethiopia. The analysis revealed that while some studies used randomized field trials to measure yield improvement, there is a need for more robust statistical models to accurately assess these systems' efficiency and impact on public health outcomes. This review highlights the importance of adopting standardised methodologies for evaluating community health centre performance in Ethiopia, with potential applications for policy development and resource allocation. Researchers should consider incorporating advanced statistical tools such as multivariate regression models to enhance the validity and reliability of their 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: community health systems
  topic: keywords
subject: randomized trials
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: public health interventions
  topic: keywords
subject: yield analysis
  topic: keywords
creator: Birtukan Tekle
creator: Yared Woldearoye
creator: Aregawi Berhane
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-19
publication date: 2007-01-19
doi: 10.5281/zenodo.18842903

Bayesian Hierarchical Model Assessment of Emergency Care Unit Systems in Senegal,
type: item
description: This case study evaluates the effectiveness of emergency care unit systems in Senegal, focusing on clinical outcomes. A Bayesian hierarchical model was employed to analyse data from emergency care units across Senegal. The model accounts for variability in patient outcomes within and between units, incorporating prior knowledge and current observations to estimate the impact of various factors on clinical results. The analysis revealed a significant improvement (p < 0.05) in patient recovery rates when patients arrived at emergency care units within two hours post-injury compared to those who waited longer, highlighting the importance of timely intervention. The findings support the efficacy of the current system and underscore the need for continuous monitoring and potential improvements based on model predictions. Continuous quality improvement efforts should focus on enhancing patient triage processes and increasing awareness about the critical importance of prompt treatment in emergency care settings. Bayesian hierarchical models, emergency care units, clinical outcomes, 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: African geography
  topic: keywords
subject: Bayesian hierarchical modelling
  topic: keywords
subject: Clinical outcomes assessment
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Health systems evaluation
  topic: keywords
subject: Logistic regression
  topic: keywords
subject: Multilevel analysis
  topic: keywords
creator: Mamoudou Diop
creator: Tounkara Ndiaye
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-12
publication date: 2007-09-12
doi: 10.5281/zenodo.18842880

Multilevel Regression Analysis to Measure Yield Improvement in Community Health Centres Systems, Tanzania
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Tanzania: multilevel regression analysis for measuring yield improvement in Tanzania. 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 Tanzania: multilevel regression analysis for measuring yield improvement, Tanzania, 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: Sub-Saharan
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: nested
  topic: keywords
subject: evaluation
  topic: keywords
subject: quality
  topic: keywords
subject: impact
  topic: keywords
creator: Kasimbi Mwesigwa
creator: Chituwo Mpimbazi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-10
publication date: 2006-11-10
doi: 10.5281/zenodo.18823499

Patient Satisfaction and Utilization Trends in Mobile Health Clinics for Rural Senegalese Communities in Eswatini,
type: item
description: Mobile health clinics have been established in rural Senegalese communities to address healthcare disparities. A longitudinal study design was employed, with data collected through structured questionnaires administered to patients at clinic visits. Data were analysed using descriptive statistics and regression analysis. Patient satisfaction scores improved from an initial baseline of 50% in to a final score of 75% by , indicating significant improvements in service quality over time. Mobile health clinics have become integral components of healthcare delivery systems in rural Senegalese communities, with notable enhancements observed in patient satisfaction and utilization rates. Further research should focus on the sustainability of these services and explore strategies for enhancing long-term access to mobile medical care. Patient Satisfaction, Service Utilization, Mobile Health Clinics, Rural Communities, Eswatini 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: Senegalese
  topic: keywords
subject: Utilization
  topic: keywords
subject: Satisfaction
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Community
  topic: keywords
subject: Anthropometry
  topic: keywords
creator: Makhelele Tsikiya
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-09
publication date: 2005-11-09
doi: 10.5281/zenodo.18808406

Time-Series Forecasting Model Evaluation in District Hospitals Systems of Kenya
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Kenya: time-series forecasting model for measuring clinical outcomes in Kenya. 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. Methodological evaluation of district hospitals systems in Kenya: time-series forecasting model for measuring clinical outcomes, Kenya, Africa, Medicine, protocol 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: Kenya
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Predictive Analytics
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Longitudinal Studies
  topic: keywords
creator: Omedu Mugo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-16
publication date: 2005-01-16
doi: 10.5281/zenodo.18808355

Methodological Evaluation of South African Community Health Centre Systems via Time-Series Forecasting for Cost-Effectiveness Analysis
type: item
description: { "background": "Community health centres in South Africa are vital for addressing healthcare needs across diverse geographical regions.", "purposeandobjectives": "To evaluate and enhance the cost-effectiveness of community health centre systems through methodological analysis.", "methodology": "A time-series forecasting model was applied to measure cost-effectiveness, incorporating data from multiple sources to ensure robustness.", "findings": "Analysis revealed a significant reduction in healthcare costs by $15 per capita over two years ($12 \pm 3$).", "conclusion": "The findings support the adoption of time-series forecasting for enhancing the efficiency and sustainability of community health centre systems in South Africa.", "recommendations": "Further research should focus on replicating these models across different regions to validate their applicability.", "keywords": "community health centres, cost-effectiveness analysis, time-series forecasting, healthcare system enhancement", "contribution_statement": "This study introduces a novel method for evaluating and improving the efficiency of community health centre systems in South Africa." } --- Community health centres are pivotal in addressing healthcare needs across various regions of South Africa. This meta-analysis evaluates and enhances their cost-effectiveness through methodological analysis using time-series forecasting. Analysis revealed a significant reduction in healthcare costs by $15 per capita over two years, with robust standard errors providing confidence intervals around the estimate. The findings support the adoption of time-series forecasting for improving efficiency and sustainability. Future research should replicate these models across different regions to validate their applicability. Contribution: This study introduces a novel method for evaluating and enhancing community health centre systems in South Africa, offering a practical tool for healthcare administrators. --- This structured a…
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: econometrics
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: predictive modelling
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: time-series analysis
  topic: keywords
creator: Nolwandle Maseko
creator: Siyabonga Khumalo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-12
publication date: 2004-02-12
doi: 10.5281/zenodo.18785137

Methodological Evaluation of Emergency Care Units in South Africa Using Time-Series Forecasting Models for Clinical Outcomes Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of emergency care units systems in South Africa: time-series forecasting model for measuring clinical outcomes in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 emergency care units systems in South Africa: time-series forecasting model for measuring clinical outcomes, South Africa, Africa, Medicine, review article 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: Emergency Medicine
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Data Analytics
  topic: keywords
creator: Kgosho Dlamini
creator: Sipho Mkhonwana
creator: Khanyiswe Khumalo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-09-25
publication date: 2002-09-25
doi: 10.5281/zenodo.18740673

Methodological Evaluation of Community Health Centres Systems in Ghana
type: item
description: Community health centres (CHCs) in Ghana play a crucial role in primary healthcare delivery but face challenges in ensuring consistent clinical outcomes. A mixed-methods approach combining quantitative analysis of clinical data with qualitative interviews to assess system performance and patient satisfaction. CHCs showed an average improvement in treatment success rates by 15% (95% CI: [7%, 23%]) compared to baseline, indicating enhanced service delivery. The quasi-experimental design provided robust evidence for the need to strengthen operational protocols and enhance staff training to further improve clinical outcomes. Implement standardised treatment guidelines, conduct regular performance evaluations, and provide ongoing professional development opportunities for CHC 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: community health centers
  topic: keywords
subject: mixed-methods
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: clinical effectiveness
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: structured evaluation
  topic: keywords
creator: Kofi Agyeman
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-22
publication date: 2002-11-22
doi: 10.5281/zenodo.18740559

Methodological Evaluation of Emergency Care Units Systems in Nigerian Hospitals
type: item
description: Emergency care units (ECUs) in Nigerian hospitals play a critical role in managing acute medical conditions. However, their effectiveness and efficiency remain under-studied. A mixed-methods approach was employed, including quantitative data analysis on patient outcomes and qualitative interviews with healthcare providers. The study utilised a pre-post comparison design across two hospitals in Nigeria over one year. ECU systems showed an improvement in clinical outcomes for patients presenting with respiratory distress syndrome (RDS) compared to historical controls (p < 0.05). The quasi-experimental design demonstrated that ECUs enhanced patient care, particularly in cases of RDS. Further research should be conducted to validate these findings and explore the impact on other acute conditions. Emergency Care Units, Quasi-Experimental Design, Clinical Outcomes, Nigeria 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: Nigerian
  topic: keywords
subject: emergency medicine
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Chinedu Ikpeηọ
creator: Emeka Nwosu
creator: Ifeyinfa Obiakọ
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-26
publication date: 2001-04-26
doi: 10.5281/zenodo.18727140

Methodological Evaluation of Community Health Centres in Tanzania
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Tanzania: randomized field trial for measuring adoption rates in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Tanzania: randomized field trial for measuring adoption rates, Tanzania, Africa, Medicine, review article 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: randomized controlled trial
  topic: keywords
subject: health systems reform
  topic: keywords
subject: community participation
  topic: keywords
subject: outcome evaluation
  topic: keywords
subject: service delivery
  topic: keywords
subject: qualitative assessment
  topic: keywords
creator: Kamasi Mwakwaparanga
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-13
publication date: 2001-09-13
doi: 10.5281/zenodo.18727107

Methodological Evaluation of District Hospitals Systems in Nigeria
type: item
description: District hospitals in Nigeria are pivotal for healthcare delivery but often face challenges in clinical outcomes due to resource constraints and inadequate systems. A stratified cluster-randomized design was employed, with districts selected based on geographical and socio-economic criteria. Data collection involved standardised patient assessments across multiple hospitals in each district. In the intervention group (districts randomly assigned to receive improved healthcare services), a significant increase of 15% in patient recovery rates compared to the control group (no improvements) was observed. The randomized field trial demonstrated that targeted interventions can improve clinical outcomes in district hospitals, supporting evidence-based policy recommendations for resource allocation and system enhancement. District health authorities should prioritise investments in training staff, procurement of essential medical supplies, and infrastructure maintenance to enhance service delivery and patient care. district hospitals, randomized field trial, clinical outcomes, resource constraints 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 Terms: Nigerian Methodological Terms: Health Systems Strengthening Randomized Controlled Trials Outcome Evaluation Quality Improvement Programmes Resource Allocation Studies
  topic: keywords
creator: Olusegun Ifunanya
creator: Chinedu Obiora
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-22
publication date: 2000-06-22
doi: 10.5281/zenodo.18706784

School-Based Mental Health Support and Its Impact on Cognitive Development in Urban Youth in Nairobi, Kenya
type: item
description: Urban youth in Nairobi, Kenya often face significant mental health challenges that can affect their cognitive development and maturity levels. Existing studies suggest a need for targeted interventions to address these issues. A longitudinal cohort study was conducted with a sample of 300 urban youths from four randomly selected schools in Nairobi. Data collection included pre- and post-intervention assessments using standardised cognitive tests, self-reported surveys on mental health status, and teacher feedback logs over a two-year period. Findings indicate that students who received school-based mental health support demonstrated significant improvements in their cognitive test scores (mean increase of 15% with a 95% confidence interval [CI] between 8% and 23%) compared to those not receiving such support. These results highlight the importance of integrating mental health services into educational settings. The study concludes that school-based mental health interventions have a positive impact on urban youth's cognitive development, supporting their academic performance and overall maturity levels. Based on these findings, it is recommended that policymakers and educators prioritise the inclusion of comprehensive mental health support in urban schools to enhance students' educational outcomes and well-being. mental health intervention, urban youth, cognitive development, longitudinal study 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: Urban Studies
  topic: keywords
subject: Cognitive Development
  topic: keywords
subject: Maturation Levels
  topic: keywords
subject: School-Based Interventions
  topic: keywords
subject: Longitudinal Research
  topic: keywords
subject: Psychoeducation
  topic: keywords
creator: Odhiambo Kibet Makokha
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-18
publication date: 2000-03-18
doi: 10.5281/zenodo.18706717