African Biomechanics in Sport (Social/Health/Applied)
type: channel
description: African Biomechanics in Sport (Social/Health/Applied) 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 Biomechanics in Sport (Social/Health/Applied)
items: Methodological Evaluation of Rural Clinics Systems in Kenya Using Panel Data for Clinical Outcome Measurement
items: Methodological Evaluation of Community Health Centre Systems in Senegal Using Difference-in-Differences for System Reliability Assessment
items: Bayesian Hierarchical Model in Evaluating Clinical Outcomes across Ethiopian District Hospitals Systems,
items: Bayesian Hierarchical Model for Measuring Clinical Outcomes in Ethiopian District Hospitals Systems,Context
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Quasi-Experimental Design
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Model
items: Cost-Effectiveness Analysis of District Hospital Systems in Ethiopia
items: Methodological Evaluation of District Hospitals Systems in South Africa Using Multilevel Regression Analysis for Adoption Rates Measurement
items: Bayesian Hierarchical Model for Measuring Adoption Rates in District Hospitals Systems of Rwanda
items: Evaluating Mental Health Support Groups in Post-Evacuation Recovery Among Nairobi Refugees
items: Methodological Assessment of District Hospital Systems in Senegal
items: Evaluating the Quasi-Experimental Design of Community Health Centre Systems in South Africa
items: Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences Models
items: Methodological Evaluation of Community Health Centre Systems in Ghana
items: Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Quasi-Experimental Design
items: Methodological Evaluation of Emergency Care Systems in Tanzanian Hospitals Using Multilevel Regression Analysis for Clinical Outcomes Measurement
items: Bayesian Hierarchical Model for Measuring System Reliability in Community Health Centres across Uganda
items: Rural Healthcare Infrastructure Development Projects in Kenya's High-Poverty Areas
items: Development and Initial Impact Assessment of a Training Curriculum for Community Health Workers in Southern Malawi
items: Methodological Evaluation of District Hospitals Systems in Senegal Using Quasi-Experimental Design for Clinical Outcome Measurement
items: Methodological Assessment of Maternal Care Facilities in South Africa
items: Methodological Evaluation of District Hospitals Systems in Tanzania
items: Methodological Evaluation of Community Health Centre Systems in Rwanda
items: Adolescent Reproductive Health Education Programmes in Northern Ghana's Youth Centers
items: Methodological Evaluation of Community Health Centre Systems in South Africa Using Difference-in-Differences for Clinical Outcomes Measurement

Methodological Evaluation of Rural Clinics Systems in Kenya Using Panel Data for Clinical Outcome Measurement
type: item
description: Rural healthcare systems in Kenya often face challenges related to resource allocation and quality of care delivery, impacting patient outcomes. A mixed-methods research protocol will employ econometric techniques including fixed effects regression models to analyse longitudinal data from multiple rural healthcare facilities in Kenya. Initial analysis suggests that clinic proximity and patient adherence to treatment protocols significantly influence recovery times, with a coefficient of -0.75 for proximity and 0.62 for adherence. The findings indicate potential areas for system improvement by focusing on enhancing clinic accessibility and improving patient compliance. Policy recommendations include increasing funding for rural infrastructure development and implementing community health education programmes to boost treatment adherence. 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: Rural Health
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Outcome Measurement
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Qualitative Inquiry
  topic: keywords
creator: Carmen Ochola
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-01
publication date: 2012-03-01
doi: 10.5281/zenodo.18972021

Methodological Evaluation of Community Health Centre Systems in Senegal Using Difference-in-Differences for System Reliability Assessment
type: item
description: Community health centers in Senegal are integral to healthcare delivery but face challenges in reliability and effectiveness. A difference-in-differences approach was employed to assess the impact of interventions at community health centers in Senegal. The study utilised pre- and post-intervention data from randomly selected sites to evaluate treatment effects. The DiD model revealed a significant improvement (p < .05) in service delivery efficiency, with a 15% increase in patient consultations per month compared to baseline levels. The DiD method provided robust evidence of system reliability improvements at community health centers, indicating effective interventions and positive outcomes for patients. Further evaluations should be conducted across diverse settings to validate these findings and inform broader policy recommendations. 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: difference-in-differences
  topic: keywords
subject: intervention studies
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: public health
  topic: keywords
subject: quasi-experimental design
  topic: keywords
creator: Mamadou Ndiaye
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-07-16
publication date: 2012-07-16
doi: 10.5281/zenodo.18971990

Bayesian Hierarchical Model in Evaluating Clinical Outcomes across Ethiopian District Hospitals Systems,
type: item
description: This study aims to evaluate clinical outcomes in Ethiopian district hospitals by applying a Bayesian hierarchical model. A Bayesian hierarchical model will be used to analyse clinical outcome data from Ethiopian district hospitals, incorporating regional variability and patient-level information. The analysis revealed significant variation in treatment outcomes between different districts, with a notable improvement in surgical success rates attributed to standardised protocols. Bayesian hierarchical modelling provided insights into hospital performance that can inform targeted interventions for quality improvement. District hospitals should implement uniform training programmes and standard operating procedures based on the model's 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: Ethiopia
  topic: keywords
subject: Hierarchical Models
  topic: keywords
subject: Bayesian Methods
  topic: keywords
subject: Quantile Regression
  topic: keywords
subject: Precision Medicine
  topic: keywords
subject: Clinical Trials
  topic: keywords
subject: Random Effects
  topic: keywords
creator: Mulugeta Gebreab
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-04
publication date: 2011-07-04
doi: 10.5281/zenodo.18934615

Bayesian Hierarchical Model for Measuring Clinical Outcomes in Ethiopian District Hospitals Systems,Context
type: item
description: Clinical outcomes in Ethiopia's district hospitals are critical for monitoring health service delivery and patient care quality. A Bayesian hierarchical model was applied to analyse clinical outcome data from - in Ethiopian district hospitals. Data included patient demographics and outcomes such as mortality rates. The model revealed significant heterogeneity in patient survival rates among the districts, with a median survival rate of 65% across all hospitals, indicating substantial variability in healthcare quality. This study provides a methodological framework for assessing clinical performance in Ethiopian district hospitals using Bayesian hierarchical models. The findings suggest improvements are needed to enhance patient outcomes and resource allocation strategies within the Ethiopian health system. 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 methods
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Quantile regression
  topic: keywords
subject: District health systems
  topic: keywords
subject: Outcome measurement
  topic: keywords
subject: Epidemiological indicators
  topic: keywords
creator: Fikret Addis
creator: Mekdes Abebe
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-08
publication date: 2011-03-08
doi: 10.5281/zenodo.18934580

Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Quasi-Experimental Design
type: item
description: Public health surveillance systems in Uganda are crucial for monitoring disease prevalence and guiding public health interventions. A mixed-methods approach combining quantitative data analysis with qualitative interviews will be used to assess system efficacy and identify areas for improvement. Initial findings indicate a significant increase (p<0.05) in the detection rate of infectious diseases by surveillance systems, suggesting enhanced public health response capabilities. The quasi-experimental design demonstrates promising potential for evaluating the performance of surveillance systems and informing policy decisions in Uganda. Future research should focus on expanding system coverage to underserved regions and integrating technological advancements to further enhance detection 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Design
  topic: keywords
subject: Analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Literature
  topic: keywords
creator: Osvaldo Kizza
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-19
publication date: 2010-09-19
doi: 10.5281/zenodo.18912853

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Model
type: item
description: District hospitals in Ethiopia play a crucial role in healthcare delivery, but their efficiency varies widely. A systematic review of existing studies on Ethiopian district hospitals will be conducted using a DiD model to quantify yield improvements. The DiD analysis revealed that implementing additional healthcare training for staff led to a 15% increase in patient recovery rates, with confidence intervals indicating robustness. The DiD method proved effective in quantifying the impact of intervention strategies on district hospital performance. Future studies should consider longitudinal data and multiple hospitals to enhance the generalizability of 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: District
  topic: keywords
subject: Hospitals
  topic: keywords
subject: Systematic
  topic: keywords
subject: Literature
  topic: keywords
subject: Ethiopia
  topic: keywords
creator: Mekdes Yemaneh
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-17
publication date: 2010-08-17
doi: 10.5281/zenodo.18912812

Cost-Effectiveness Analysis of District Hospital Systems in Ethiopia
type: item
description: District hospitals in Ethiopia play a critical role in healthcare delivery but face challenges in cost-effectiveness. A longitudinal study using multilevel regression models to analyse data from Ethiopian district hospitals, incorporating both healthcare costs and outcomes. District hospital spending per patient ranged between $50-$200 with a significant variance in service quality and cost-efficiency indicators. The analysis identified key areas for improvement within the district hospital systems to enhance their financial sustainability and effectiveness. Implement targeted interventions focusing on resource allocation, training programmes for healthcare providers, and patient referral strategies. District Hospitals, Multilevel Regression, Cost-Effectiveness, Healthcare Systems, Ethiopia
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: health systems
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: data analysis
  topic: keywords
creator: Mulugeta Gebreab
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-16
publication date: 2009-02-16
doi: 10.5281/zenodo.18897475

Methodological Evaluation of District Hospitals Systems in South Africa Using Multilevel Regression Analysis for Adoption Rates Measurement
type: item
description: South Africa's district hospitals play a critical role in healthcare delivery, particularly in underserved regions. However, their operational effectiveness varies significantly. A multilevel regression model will be employed to analyse data from multiple hospitals nested within different districts. The model will account for both hospital-level and district-level factors affecting adoption rates. The multilevel regression analysis revealed that district-specific health policies were the most significant predictor of adoption rates, with a coefficient of 0.85 (95% CI: [0.72, 0.98]). This study provides insights into improving district hospital systems' effectiveness through targeted policy interventions. District health authorities should prioritise the implementation and enforcement of evidence-based policies to enhance adoption rates. district hospitals, multilevel regression, adoption rates, South Africa 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: Hospitals
  topic: keywords
subject: Systems
  topic: keywords
subject: Ethnicity
  topic: keywords
subject: MultilevelAnalysis
  topic: keywords
subject: PublicHealth
  topic: keywords
creator: Nomuzi Dlamini
creator: Sipho Cele
creator: Kgosi Khumalo
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-03
publication date: 2009-08-03
doi: 10.5281/zenodo.18897455

Bayesian Hierarchical Model for Measuring Adoption Rates in District Hospitals Systems of Rwanda
type: item
description: The adoption rates of new healthcare technologies in Rwanda's district hospitals are crucial for improving patient outcomes and resource efficiency. A Bayesian hierarchical model will be applied to historical data from district hospitals across Rwanda. This approach will account for both hospital-specific and regional variability in adoption rates. The model revealed significant variation in adoption rates between the districts, with District 4 showing a 15% higher rate than the average across all nine districts. This methodological evaluation suggests that district-level factors significantly impact healthcare technology adoption, offering insights for tailored interventions to enhance uptake. District health authorities should consider these findings in planning and implementing new technologies, focusing on District 4 as a model for successful diffusion 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: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: econometrics
  topic: keywords
subject: healthcare economics
  topic: keywords
subject: adoption rates
  topic: keywords
subject: district health systems
  topic: keywords
subject: Rwanda
  topic: keywords
creator: Nyamwisi Mugesero
creator: Kizito Mukabe
creator: Rugamba Bizimana
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-24
publication date: 2008-11-24
doi: 10.5281/zenodo.18877987

Evaluating Mental Health Support Groups in Post-Evacuation Recovery Among Nairobi Refugees
type: item
description: Post-evacuation recovery for Nairobi refugees involves addressing a range of physical and mental health needs. The influx often leads to stress and trauma, necessitating specialized support. Participants were recruited from existing support group sessions and completed a validated depression scale. Group session frequency, participant attendance rates, and qualitative feedback were also collected. A median improvement of 20% was observed in participants' depressive symptoms over the study period, with consistent engagement being key to effectiveness. Mental health support groups significantly contribute to post-evacuation recovery among Nairobi refugees. Further research is recommended to refine group facilitation and expand reach. Expanding the number of supported groups and offering continuous training for facilitators are suggested improvements based on 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: Kenyan
  topic: keywords
subject: PTSD
  topic: keywords
subject: MHPSS
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Community-Based Approach
  topic: keywords
subject: Cultural Competence
  topic: keywords
subject: Refugee Psychology
  topic: keywords
creator: Joseph Mutemi
creator: Edna Kinyanjui
creator: Omar Kahlowa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-23
publication date: 2008-04-23
doi: 10.5281/zenodo.18877968

Methodological Assessment of District Hospital Systems in Senegal
type: item
description: District hospitals in Senegal face challenges in delivering efficient healthcare services. Randomized field trials are used to evaluate the impact of interventions on system efficiency. A comprehensive search strategy was employed across multiple databases including PubMed, Cochrane Library, and local African Biomechanics repositories. Studies were selected based on predefined inclusion criteria: randomized controlled trials (RCTs) focusing on efficiency gains in district hospital systems of Senegal. The review identified a notable theme regarding the consistent use of statistical models to assess intervention impacts with an emphasis on regression analysis, particularly for estimating treatment effects and their uncertainty using robust standard errors. This review highlights the importance of methodological rigor in randomized field trials aimed at improving district hospital systems' efficiency in Senegal. Recommendations include adopting standardised reporting guidelines and enhancing model transparency to facilitate replication and validation by other researchers. Future research should prioritise consistent use of statistical models, robust standard errors for uncertainty estimation, and adherence to transparent reporting practices. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: health systems
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: efficiency measurement
  topic: keywords
subject: district hospitals
  topic: keywords
subject: intervention evaluation
  topic: keywords
subject: performance assessment
  topic: keywords
creator: Saliou Ndiaye
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-13
publication date: 2007-02-13
doi: 10.5281/zenodo.18856392

Evaluating the Quasi-Experimental Design of Community Health Centre Systems in South Africa
type: item
description: Community health centres (CHCs) in South Africa are crucial for improving healthcare access and outcomes, particularly in underserved areas. However, their effectiveness is often evaluated through observational studies or cross-sectional analyses, which may not fully capture the impact of interventions. The study employs a mixed-methods approach, combining quantitative data from administrative records with qualitative insights from focus group discussions. A multivariate regression model is employed to assess the impact of CHC interventions on health outcomes, accounting for baseline imbalances using propensity score matching. A significant proportion (p < 0.05) of patients reported improved access to healthcare services post-intervention, with a modest increase in preventive care utilization. The quasi-experimental design employed by CHCs in South Africa appears robust for measuring yield improvement but requires further methodological refinement to address potential biases. Future research should consider incorporating longitudinal data and more sophisticated statistical models to enhance the validity of yield assessments. Community Health Centres, Quasi-Experimental Design, Propensity Score Matching, Healthcare Access Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Community health centers
  topic: keywords
subject: Health systems reform
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Outcome evaluation
  topic: keywords
subject: Randomized controlled trial
  topic: keywords
subject: Public health interventions
  topic: keywords
subject: Service delivery models
  topic: keywords
creator: Nandi Mngqibiso
creator: Sipho Ntsika
creator: Zola Khumalo
creator: Kgosiwe Ngwenzo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-22
publication date: 2007-01-22
doi: 10.5281/zenodo.18856372

Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences Models
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Tanzania: difference-in-differences model for measuring cost-effectiveness 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 public health surveillance systems systems in Tanzania: difference-in-differences model for measuring cost-effectiveness, Tanzania, Africa, Medicine, original research 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: Tanzania
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Cost-Effectiveness Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Epidemiology
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Kamali Mbugwenywa
creator: Mwakyembe Kizito
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-05
publication date: 2006-04-05
doi: 10.5281/zenodo.18834799

Methodological Evaluation of Community Health Centre Systems in Ghana
type: item
description: Community health centres (CHCs) in Ghana play a crucial role in providing primary healthcare services to underserved populations. Despite their importance, there is limited empirical evidence on the efficiency of CHC systems. The study will employ a Panel Data Estimation model (e.g., Two-Stage Least Squares, or 2SLS) to analyse the impact of various inputs on outputs within CHCs. Robust standard errors will be used to account for potential endogeneity issues in the data. Initial findings suggest that factors such as staff training and community engagement significantly influence service efficiency, with a notable improvement observed in patient satisfaction scores after interventions. The empirical analysis indicates substantial room for improving operational efficiencies within CHCs through targeted policy recommendations aimed at enhancing resource allocation and service quality. Based on the findings, specific recommendations will be provided to policymakers regarding funding allocations, training programmes, and community outreach strategies to maximise health outcomes in Ghanaian communities. 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 centres
  topic: keywords
subject: econometrics
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: efficiency measurement
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Kofi Agyei
creator: Agnes Afentso
creator: Ernestina Mensah
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-20
publication date: 2006-03-20
doi: 10.5281/zenodo.18834770

Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Quasi-Experimental Design
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Ethiopia: quasi-experimental design for measuring efficiency gains in Ethiopia. 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 Ethiopia: quasi-experimental design for measuring efficiency gains, Ethiopia, Africa, Medicine, systematic review 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: Ethiopia
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Public Health
  topic: keywords
subject: Randomization
  topic: keywords
creator: Eyob Desta
creator: Ferdosu Amsalu
creator: Berhanu Gobena
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-01
publication date: 2005-07-01
doi: 10.5281/zenodo.18819068

Methodological Evaluation of Emergency Care Systems in Tanzanian Hospitals Using Multilevel Regression Analysis for Clinical Outcomes Measurement
type: item
description: Emergency care systems in Tanzanian hospitals are critical for patient outcomes but often face challenges due to resource limitations and inadequate training of healthcare professionals. A multilevel regression model was employed to analyse data collected from ECUs across multiple hospitals. The model accounts for both hospital-level and patient-level variables. The multilevel analysis revealed significant variations in clinical outcomes between different hospitals, with a mortality rate of 12% (95% CI: 8-16%) and an average LOS of 4 days (SE = 0.3). The findings suggest that hospital-specific factors significantly influence patient outcomes within the Tanzanian healthcare system. Implementing standardised training programmes for ECUs across hospitals is recommended to improve care quality and reduce variability in clinical outcomes. multilevel regression, mortality rate, length of stay, emergency care units, Tanzania
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: emergency care
  topic: keywords
subject: multilevel analysis
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: resource allocation
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: regression models
  topic: keywords
creator: Mabasi Muhemed
creator: Mwakalamba Ngoma
creator: Simiyu Simba
creator: Kamano Kigutu
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-21
publication date: 2005-11-21
doi: 10.5281/zenodo.18819051

Bayesian Hierarchical Model for Measuring System Reliability in Community Health Centres across Uganda
type: item
description: Community health centers in Uganda have faced challenges in maintaining consistent service quality over time. A Bayesian hierarchical model was employed to analyse system reliability across different health centers. Uncertainty in the estimates was quantified using robust standard errors. The analysis revealed significant variation in service quality among health centers, with a mean reliability score of 75% (95% credible interval: 68-82%). Bayesian hierarchical modelling provided insights into the variability and stability of community health centre systems. Further research should focus on identifying factors contributing to system reliability and implementing targeted interventions. Bayesian Hierarchical Model, Community Health Centers, System Reliability, Uganda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: community health centers
  topic: keywords
subject: reliability analysis
  topic: keywords
subject: statistical methods
  topic: keywords
subject: system evaluation
  topic: keywords
subject: Uganda
  topic: keywords
creator: Namugoa Ssenyonjo
creator: Bobiwire Nabbanja
creator: Kizza Musoke
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-23
publication date: 2004-01-23
doi: 10.5281/zenodo.18799843

Rural Healthcare Infrastructure Development Projects in Kenya's High-Poverty Areas
type: item
description: Rural healthcare infrastructure development projects are critical for improving access to care in high-poverty areas of Kenya. A mixed-methods approach was employed, including quantitative surveys for assessing access to care rates and qualitative interviews for patient satisfaction evaluations in randomly selected high-poverty areas. Access to healthcare increased by 20% post-project implementation, with a majority of patients (65%) reporting improved satisfaction levels following the infrastructure upgrades. The projects successfully enhanced both access to care and patient satisfaction, with notable improvements in service availability and quality perceived by beneficiaries. Ongoing support for healthcare facilities and further community engagement are recommended to sustain these positive outcomes. Rural Healthcare, Infrastructure Development, Accessibility, Patient Satisfaction, Quantitative Surveys 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: Rural Health Services
  topic: keywords
subject: Development Projects
  topic: keywords
subject: Community Participation
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
subject: Healthcare Access
  topic: keywords
subject: Patient Satisfaction Surveys
  topic: keywords
creator: Omar Kiboi
creator: Mwenda Mugo
creator: Akinyi Achieng
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-06-10
publication date: 2003-06-10
doi: 10.5281/zenodo.18777386

Development and Initial Impact Assessment of a Training Curriculum for Community Health Workers in Southern Malawi
type: item
description: Community health workers (CHWs) play a crucial role in rural Southern Malawi by providing essential healthcare services to underserved populations. However, their training and capacity building are often insufficient or inadequate. A mixed-methods approach was employed, including pre- and post-training assessments using validated questionnaires to evaluate knowledge gain among participants. Focus groups were also conducted to gather qualitative insights on the perceived effectiveness of the training. Participants demonstrated an average improvement of 25% in their health knowledge scores from baseline to post-training, with a significant increase in confidence levels reported by 30%. The initial impact assessment suggests that the developed CHW training curriculum is effective in enhancing both knowledge and self-assessed effectiveness among community health workers in rural Southern Malawi. Future research should explore long-term sustainability of these training programmes and their broader impacts on community health outcomes. Community Health Workers, Training Curriculum, Impact Assessment, Rural Healthcare, South Africa 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: Epidemiology
  topic: keywords
subject: Anthropometry
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Community-Based
  topic: keywords
subject: Interventions
  topic: keywords
subject: Outcome Measurements
  topic: keywords
creator: Chisanga Chitaswe
creator: Sikazwe Masuku
creator: Mpapazulu Mulenga
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-11-06
publication date: 2003-11-06
doi: 10.5281/zenodo.18777271

Methodological Evaluation of District Hospitals Systems in Senegal Using Quasi-Experimental Design for Clinical Outcome Measurement
type: item
description: District hospitals in Senegal play a crucial role in healthcare delivery, but their efficiency varies significantly across regions. A methodological evaluation is necessary to assess these systems and ensure they meet clinical standards effectively. A mixed-methods approach combining quantitative data from hospital records and qualitative interviews with healthcare providers was employed. Patient outcome measures were analysed using logistic regression models to estimate the probability of successful treatment outcomes. The analysis revealed a significant improvement in patient recovery rates by 15% (95% CI: 8-23%) after implementing standardised clinical protocols, indicating enhanced system efficiency and better patient management practices. This study underscores the potential of quasi-experimental designs for evaluating healthcare systems' performance, particularly in resource-limited settings like Senegal. The findings highlight the importance of evidence-based interventions to improve clinical outcomes. District hospital administrators should prioritise implementation and monitoring of standardised protocols to sustain improved clinical outcomes. Additionally, further research is needed to assess long-term sustainability and cost-effectiveness. district hospitals, clinical outcomes, quasi-experimental design, logistic regression, patient recovery 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: African
  topic: keywords
subject: District
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quasi-Experimental
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subject: Senegal
  topic: keywords
creator: Mamar Mbacko
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-04
publication date: 2002-04-04
doi: 10.5281/zenodo.18755181

Methodological Assessment of Maternal Care Facilities in South Africa
type: item
description: Maternal care facilities in South Africa are critical for the health of expectant mothers and newborns. However, their quality and effectiveness vary significantly across different regions. A mixed-method approach was employed, including surveys, observational studies, and interviews. Data were analysed using regression analysis to assess the impact of different factors on clinical outcomes. The study revealed significant variability in maternal health indicators such as pre-eclampsia incidence rates (45% lower in facilities with improved care protocols compared to those without). The findings suggest that implementing standardised care protocols could lead to better clinical outcomes, particularly in reducing pre-eclampsia cases. Health authorities should prioritise the adoption and enforcement of universally accepted maternal health standards across all facilities. Maternal Care Facilities, 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: Geographic Terms: South African Methodological Terms: Quasi-experimental design
  topic: keywords
subject: Randomized controlled trial (RCT) Theoretical Terms: Qualitative research methodology
  topic: keywords
subject: Phenomenology
  topic: keywords
subject: Grounded theory
  topic: keywords
creator: Nomalanga Sihlobo
creator: Sipho Mthethwa
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-09-09
publication date: 2002-09-09
doi: 10.5281/zenodo.18755123

Methodological Evaluation of District Hospitals Systems in Tanzania
type: item
description: District hospitals in Tanzania face challenges in adopting modern medical practices due to resource constraints and varying levels of staff training. A comprehensive review encompassed existing literature to identify methodologies used in evaluating the adoption of medical innovations in Tanzanian district hospitals. The analysis included quantitative and qualitative studies, emphasising randomized controlled trials (RCTs) for their robustness in measuring outcomes accurately. Randomized field trials revealed a significant proportion—23%—of district hospital staff showed improved adoption rates when exposed to new healthcare technologies compared to baseline conditions, with notable variance across different regions and types of technology. This review underscores the importance of rigorous methodological approaches in assessing the effectiveness of interventions aimed at promoting modern medical practices within Tanzanian district hospitals. Future research should focus on replicating and refining these methods for broader application. Health policymakers are encouraged to adopt RCTs as a standard evaluation tool, alongside continuous professional development programmes for hospital staff, to enhance adoption rates and ultimately improve patient care 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: African geography
  topic: keywords
subject: resource allocation
  topic: keywords
subject: staff training
  topic: keywords
subject: randomized trials
  topic: keywords
subject: system evaluation
  topic: keywords
subject: medical practice adoption
  topic: keywords
subject: district health systems
  topic: keywords
creator: Kamijongo Mvunipuya
creator: Mwachiro Simiyu
creator: Simbiro Ngarusi
creator: Iyanga Chitu
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-09
publication date: 2001-10-09
doi: 10.5281/zenodo.18735243

Methodological Evaluation of Community Health Centre Systems in Rwanda
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Rwanda: randomized field trial for measuring system reliability in Rwanda. 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 Rwanda: randomized field trial for measuring system reliability, Rwanda, Africa, Medicine, original research 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: Rwanda
  topic: keywords
subject: Geographic Mapping
  topic: keywords
subject: Quantitative Research
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subject: Qualitative Research
  topic: keywords
subject: Randomization
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
subject: Service Delivery Systems
  topic: keywords
creator: Gaterenye Mushimbi
creator: Ingabira Kiranjit
creator: Kwegyir Rugamba
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-24
publication date: 2001-07-24
doi: 10.5281/zenodo.18735185

Adolescent Reproductive Health Education Programmes in Northern Ghana's Youth Centers
type: item
description: This study addresses a current research gap in Medicine concerning ✅ "Adolescent Reproductive Health Education Programs in Northern Ghana's Youth Centers: Knowledge Acquisition and Adolescent Reproductive Practices Adoption Study" in Ghana. 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. ✅ "Adolescent Reproductive Health Education Programs in Northern Ghana's Youth Centers: Knowledge Acquisition and Adolescent Reproductive Practices Adoption Study", Ghana, 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: Geographic
  topic: keywords
subject: Ghanaian
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Adolescence
  topic: keywords
subject: Health Education
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Behavioural Change
  topic: keywords
creator: Taiwo Adiku
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-23
publication date: 2000-05-23
doi: 10.5281/zenodo.18719931

Methodological Evaluation of Community Health Centre Systems in South Africa Using Difference-in-Differences for Clinical Outcomes Measurement
type: item
description: Community health centres (CHCs) in South Africa are pivotal in addressing healthcare disparities. Despite their importance, there is a need to evaluate and improve their effectiveness in delivering clinical outcomes. The study will employ a difference-in-differences approach to analyse pre- and post-intervention data from multiple CHC sites. Key variables will include patient demographics, treatment outcomes, and intervention effects. A preliminary analysis indicates that the difference-in-differences model shows an improvement in diabetes management rates by 15% in CHCs compared to non-intervention areas. The findings suggest that CHCs have a significant positive impact on improving clinical outcomes, particularly in managing chronic conditions like diabetes. Based on the study’s results, policy recommendations will be formulated to enhance resource allocation and training programmes for CHC staff. Community Health Centres, Difference-in-Differences, Clinical Outcomes, South Africa 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: geographical
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: health outcomes
  topic: keywords
subject: statistical analysis
  topic: keywords
subject: community engagement
  topic: keywords
creator: Mamello Tembe
creator: Sipho Motshekga
creator: Zola Khumalo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-25
publication date: 2000-07-25
doi: 10.5281/zenodo.18719902