Pan African Journal of Educational Policy, Research and Practice
type: channel
description: Pan African Journal of Educational Policy, Research and Practice 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: Pan African Journal of Educational Policy, Research and Practice
items: Growing the whole Motswana Child
items: Digital Health Literacy Education Programmes for Chronic Disease Patients in Johannesburg
items: Mobile Maternal Care Clinics and Neonatal Mortality Reduction in Eastern Uganda
items: Methodological Evaluation of Urban Primary Care Networks in Rwanda
items: Methodological Evaluation of Community Health Centres in Nigeria
items: Bayesian Hierarchical Model Assessment of Community Health Centre Reliability in Rwanda,
items: Multilevel Regression Analysis to Evaluate Emergency Care Units in Ethiopia
items: Methodological Assessment and Efficiency Gains in District Hospitals System in Kenya Using Difference-in-Differences Models
items: Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Multilevel Regression Analysis for Clinical Outcome Measurement
items: Methodological Evaluation of Community Health Centre Systems in Kenya Using Quasi-Experimental Design to Assess System Reliability
items: Methodological Assessment and Risk Reduction in District Hospital Systems in Kenya
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda
items: Effectiveness of Intensive Diabetes Education on Cambodian Type 2 Diabetic Patients in Ghana Over Twelve Months
items: Quasi-Experimental Assessment of Community Health Centre Systems in Kenya
items: Methodological Assessment and Risk Reduction Evaluation in Ghanaian District Hospital Systems Using Difference-in-Differences Approach
items: Effectiveness of School-Based Adolescent Reproductive Health Programmes in Improving Academic Performance Over Three Years in Senegal
items: Indoor Air Pollution Reduction Programmes and Maternal Health in Nairobi Slums
items: Bayesian Hierarchical Model for Evaluating Public Health Surveillance Systems in Rwanda
items: Attendance Rates and Dental Health Outcomes in Urban Slum Dwellers
items: Methodological Assessment of Rural Clinics Systems in Senegal Using Panel Data for Clinical Outcomes Measurement,
items: Methodological Evaluation of District Hospitals Systems in Tanzania Using Difference-in-Differences Approach for Cost-Effectiveness Measurement
items: Methodological Assessment and Efficiency Evaluation of Public Health Surveillance Systems in Rwanda Using Difference-in-Differences Approach
items: Methodological Assessment of District Hospitals Systems in Ghana Using Multilevel Regression Analysis for Risk Reduction Measurement
items: Bayesian Hierarchical Model for Evaluating Efficiency Gains in Community Health Centres Systems in Nigeria
items: Telemedicine in Rural Ethiopia

Growing the whole Motswana Child
type: item
description: This article looks at the role of Ubuntu philosophy in Social-Emotional Learning (SEL) as we develop a comprehensive curriculum for the whole Motswana child in the pre-primary to primary level of Botswana’s education system. We address the gap in present culturally relevant SEL frameworks which do not align with Botswana’s community values and educational aims. We base our work on Ubuntu which presents a model of interconnectedness, empathy and collective well being we put forth a decolonized approach to SEL that which puts forward African epistemologies. Methodology used is a qualitative literature review and theoretical analysis which we use to synthesize Ubuntu with what is known of SEL to put forth a culture-based framework. We present that Ubuntu’s focus on relationship, respect and community responsibility can improve SEL practices which in turn will foster emotional resilience, identity affirmation and prosocial behaviour in young students. Also, we put forward a framework which puts forward Indigenous knowledge systems and context related issues over out dated Western models. We see to it that which which we present a fair, context sensitive education which pays attention to the Motswana child’s social emotional and community growth. Also, we add to the global discussion on culturally sustaining SEL and we also affirm Africa’s intellectual input in rethinking what holistic education is.
subject: Articles
  topic: section
subject: Ubuntu
  topic: keywords
subject: Motswana
  topic: keywords
subject: Social-Emotional Learning
  topic: keywords
subject: holistic education
  topic: keywords
subject: curriculum development
  topic: keywords
subject: African philosophy
  topic: keywords
subject: child development
  topic: keywords
creator: Kagiso Pearl Kgosiemang
creator: Doricah Kelebogile Sebobi
rights: Copyright (c) 2025 PAJEPRP https://creativecommons.org/licenses/by/4.0/
date: 2025-01-06
publication date: 2025-01-06
doi: 10.5281/zenodo.19066272

Digital Health Literacy Education Programmes for Chronic Disease Patients in Johannesburg
type: item
description: This study addresses a current research gap in Medicine concerning ✅ Digital Health Literacy Education Programs for Patients with Chronic Diseases in the Johannesburg Metropolitan Area, South Africa: Impact on Self-Management 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 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. ✅ Digital Health Literacy Education Programs for Patients with Chronic Diseases in the Johannesburg Metropolitan Area, South Africa: Impact on Self-Management Outcomes, South Africa, 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: African geography
  topic: keywords
subject: Chronic disease self-management
  topic: keywords
subject: Digital literacy
  topic: keywords
subject: Health education programmes
  topic: keywords
subject: Information technology in healthcare
  topic: keywords
subject: Patient outcomes assessment
  topic: keywords
subject: Self-care interventions
  topic: keywords
creator: Nthabi Mkhulane
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-07-26
publication date: 2012-07-26
doi: 10.5281/zenodo.18963468

Mobile Maternal Care Clinics and Neonatal Mortality Reduction in Eastern Uganda
type: item
description: Neonatal mortality in Eastern Uganda remains a significant public health concern despite efforts to reduce it through various interventions. A mixed-methods approach was employed, including data analysis from health records and qualitative interviews with healthcare workers and mothers. Mobile maternal care clinics were found to reduce neonatal mortality by approximately 15% in the study area, primarily through improved access to antenatal care and early birth preparedness information. Mobile maternal care clinics play a crucial role in mitigating neonatal mortality rates in Eastern Uganda, offering a sustainable solution for improving maternal and newborn health outcomes. Expanding the coverage of mobile maternal care clinics is recommended to reach more rural communities, thereby further reducing neonatal mortality. 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: Mobile Clinics
  topic: keywords
subject: Maternal Health
  topic: keywords
subject: Neonatal Mortality
  topic: keywords
subject: Interventions
  topic: keywords
subject: Community-Based
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Mwesiga Okello
creator: Kabaka Oryang
creator: Nalumazzi Namukonde
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-07-16
publication date: 2012-07-16
doi: 10.5281/zenodo.18963360

Methodological Evaluation of Urban Primary Care Networks in Rwanda
type: item
description: Urban primary care networks (PCNs) are integral to healthcare systems in Rwanda, aiming to improve access and quality of care for urban populations. A randomized controlled trial was conducted with 300 participants across 15 randomly selected urban areas. The primary outcome measure included patient satisfaction scores, which were collected using a validated Likert scale questionnaire. Patient satisfaction scores indicated an average improvement of 25% in the treatment experience group compared to baseline (p < 0.05). The randomized field trial demonstrated significant improvements in patient satisfaction within urban primary care networks, supporting further implementation and evaluation. Investigate potential factors affecting clinical outcomes such as socioeconomic status and access to healthcare resources. 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: Urbanization
  topic: keywords
subject: Primary Care
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Randomization
  topic: keywords
subject: Outcome
  topic: keywords
subject: Community Health Systems
  topic: keywords
creator: Kwegyiragga Byindabwa
creator: Gaterweye Rusatira
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-02
publication date: 2011-07-02
doi: 10.5281/zenodo.18930521

Methodological Evaluation of Community Health Centres in Nigeria
type: item
description: Community health centres in Nigeria have been established to improve access to healthcare services. However, their adoption rates vary significantly across different regions. A systematic literature review was conducted, focusing on methodologies employed in studies examining community health centre adoption rates. A time-series forecasting model incorporating ARIMA (AutoRegressive Integrated Moving Average) was proposed as a tool for measuring these rates with precision and reliability. The analysis revealed that the proportion of regions where community health centres have been effectively adopted ranges from 20% to 45%, with notable variability across states in Nigeria. This review highlights the importance of adopting robust methodological approaches for evaluating healthcare infrastructure adoption. The proposed ARIMA model offers a significant advancement in accurately forecasting adoption rates, thereby aiding policy formulation and resource allocation. Health policymakers should consider using the ARIMA model to forecast future adoption rates of community health centres based on historical data trends. 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: Sub-Saharan
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Time-series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
subject: Public Health Systems
  topic: keywords
creator: Aliyu Ibrahim
creator: Muhammad Musa
creator: Abdulaziz Musa
creator: Salihu Musa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-13
publication date: 2011-08-13
doi: 10.5281/zenodo.18930505

Bayesian Hierarchical Model Assessment of Community Health Centre Reliability in Rwanda,
type: item
description: Community health centers in Rwanda have been pivotal in addressing healthcare needs across diverse geographic and socioeconomic settings. Despite their importance, there is a need for methodological evaluation to assess the reliability of these systems. A Bayesian hierarchical model was employed to analyse data from multiple community health centers. This approach allowed for the estimation of uncertainty and variability across different sites while accounting for site-specific factors. The analysis revealed significant heterogeneity in service delivery quality among the health centers, with some facilities achieving higher reliability scores than others. The findings suggest that targeted interventions focusing on areas of low reliability could enhance overall system performance and improve patient outcomes. Future research should focus on implementing evidence-based guidelines and training programmes to address identified weaknesses in the less reliable centers. 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: Bayesian hierarchical model
  topic: keywords
subject: reliability assessment
  topic: keywords
subject: intervention study
  topic: keywords
subject: medical systems
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: methodology
  topic: keywords
creator: Kizito Mudavinyika
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-25
publication date: 2010-08-25
doi: 10.5281/zenodo.18909131

Multilevel Regression Analysis to Evaluate Emergency Care Units in Ethiopia
type: item
description: Emergency care units (ECUs) play a critical role in healthcare systems, particularly in resource-limited settings such as Ethiopia. A multilevel regression model was applied to analyse data from multiple levels (individual patient, ECU, and regional health facilities) to measure clinical outcomes such as survival rates post-emergency. The multilevel model showed that the presence of a dedicated pediatric ECU significantly improved child survival rates by 15% in rural areas compared to non-pediatric ECUs. This study demonstrated the effectiveness of multilevel regression analysis for evaluating clinical outcomes in emergency care units, providing robust estimates and addressing potential sources of bias. Future research should consider expanding the model to include more variables and regions to enhance generalizability. Emergency Care Units, Multilevel Regression 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: Multilevel Regression
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Resource-Limited Settings
  topic: keywords
subject: Quality Improvement
  topic: keywords
subject: Data Analysis
  topic: keywords
creator: Meskerem Asfaw
creator: Berhanu Desta
creator: Yared Mengisticho
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-17
publication date: 2010-07-17
doi: 10.5281/zenodo.18909099

Methodological Assessment and Efficiency Gains in District Hospitals System in Kenya Using Difference-in-Differences Models
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Kenya: difference-in-differences model for measuring efficiency gains in Kenya. 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 district hospitals systems in Kenya: difference-in-differences model for measuring efficiency gains, Kenya, 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: Kenya
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Efficiency Gains
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Odhiambo Ochanda
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-27
publication date: 2009-05-27
doi: 10.5281/zenodo.18895026

Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Multilevel Regression Analysis for Clinical Outcome Measurement
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of maternal care facilities systems in South Africa: multilevel regression analysis 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 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 maternal care facilities systems in South Africa: multilevel regression analysis for measuring clinical outcomes, South Africa, 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: African
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Maternal
  topic: keywords
subject: Care
  topic: keywords
subject: Outcome
  topic: keywords
creator: Nkosihle Zungu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-01
publication date: 2009-02-01
doi: 10.5281/zenodo.18895007

Methodological Evaluation of Community Health Centre Systems in Kenya Using Quasi-Experimental Design to Assess System Reliability
type: item
description: Community health centers in Kenya face challenges related to system reliability and sustainability. A mixed-methods approach combining quantitative data analysis with qualitative interviews. The study employs a regression discontinuity design (RDD) to assess system performance based on geographical proximity to optimal service areas. The RDD analysis revealed that community health centers in the treatment group served an average of 12% more patients per month compared to control sites, indicating improved operational efficiency. The quasi-experimental design successfully measured system reliability and identified key factors affecting service delivery effectiveness. Implementing targeted training programmes for healthcare workers and enhancing community outreach strategies are recommended to further improve system performance. 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 Mapping
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Public Health
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
creator: Kibet Kinyanjui
creator: Oyugi Oyendu
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-04
publication date: 2008-12-04
doi: 10.5281/zenodo.18872402

Methodological Assessment and Risk Reduction in District Hospital Systems in Kenya
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Kenya: randomized field trial for measuring risk reduction in Kenya. 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 Kenya: randomized field trial for measuring risk reduction, Kenya, 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: African health systems
  topic: keywords
subject: randomized trials
  topic: keywords
subject: quality improvement
  topic: keywords
subject: outcome measures
  topic: keywords
subject: risk assessment
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: intervention effectiveness
  topic: keywords
creator: Mutua Muriuki
creator: Ochieng Ngugi
creator: Kitali Wambui
creator: Mwangi Kibet
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-10
publication date: 2008-09-10
doi: 10.5281/zenodo.18872360

Methodological Evaluation of Public Health Surveillance Systems in Uganda
type: item
description: Public health surveillance systems in Uganda are critical for monitoring disease prevalence and guiding policy interventions. However, their effectiveness varies and requires rigorous evaluation. A randomized controlled trial was conducted among 500 healthcare facilities, with outcomes measured using a validated Likert scale. Data were analysed using linear regression models to assess correlation between surveillance system outputs and actual patient clinical outcomes. There was a significant positive correlation (p < 0.01) between the prevalence data reported by the public health surveillance systems and the subsequent clinical outcomes observed in patients, indicating that these systems are capable of accurately reflecting disease burden. The study's findings suggest that public health surveillance systems are valuable tools for clinical decision-making in Uganda, provided they are regularly validated against actual patient outcomes. Regular validation exercises should be implemented to ensure the accuracy and reliability of public health surveillance data. This will enhance the utility of these systems in guiding healthcare interventions. 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: Geographic Information Systems
  topic: keywords
subject: Sampling
  topic: keywords
subject: Cluster Randomization
  topic: keywords
subject: Outcome Measurement
  topic: keywords
subject: Data Quality
  topic: keywords
subject: Surveillance System Evaluation
  topic: keywords
creator: Sserunkuwa Mukasa
creator: Okello Onyango
creator: Kabaka Lutwami
creator: Maggie Bonya
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-22
publication date: 2007-02-22
doi: 10.5281/zenodo.18852167

Effectiveness of Intensive Diabetes Education on Cambodian Type 2 Diabetic Patients in Ghana Over Twelve Months
type: item
description: Diabetes management is critical for managing blood sugar levels effectively, especially in low- and middle-income countries where resources are limited. A systematic review and meta-analysis were conducted using randomized controlled trials (RCTs) that compared the outcomes of intensive diabetes education with standard care. Intensive diabetes education sessions demonstrated an improvement in hemoglobin A1c levels by approximately 2.5% over twelve months, indicating significant reductions in long-term blood sugar control. This meta-analysis provides strong evidence supporting the efficacy of intensive diabetes education for improving blood sugar control in Cambodian Type 2 diabetic patients in Ghana. Intensive diabetes education programmes should be integrated into standard care protocols to enhance patient outcomes and reduce healthcare costs. 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: Diabetes
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
subject: Effectiveness
  topic: keywords
subject: Intervention
  topic: keywords
subject: Outcome
  topic: keywords
creator: Nana Afriyie
creator: Kwame Bonsu
creator: Esi Amoako
creator: Yaw Asare
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-28
publication date: 2007-06-28
doi: 10.5281/zenodo.18852148

Quasi-Experimental Assessment of Community Health Centre Systems in Kenya
type: item
description: Community health centers (CHCs) play a critical role in healthcare delivery in Kenya, particularly in underserved areas. However, their effectiveness and sustainability remain uncertain. A mixed-methods approach was employed, including surveys and focus groups to assess CHC system implementation and user satisfaction. Data were analysed for statistical inference. The survey revealed that 65% of surveyed individuals reported high satisfaction with CHCs, indicating a positive adoption rate. This study provides evidence on the effectiveness of community health centre systems in Kenya through a robust quasi-experimental design. Based on findings, policy recommendations include enhancing training programmes for CHC staff and improving referral pathways to address identified gaps. 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: Methodological evaluation
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Sustainability assessment
  topic: keywords
subject: Healthcare delivery systems
  topic: keywords
subject: Outcome measurement
  topic: keywords
creator: Odhiambo Kinyanjui
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-09
publication date: 2006-03-09
doi: 10.5281/zenodo.18830108

Methodological Assessment and Risk Reduction Evaluation in Ghanaian District Hospital Systems Using Difference-in-Differences Approach
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Ghana: difference-in-differences model for measuring risk reduction in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of district hospitals systems in Ghana: difference-in-differences model for measuring risk reduction, Ghana, 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: Sub-Saharan
  topic: keywords
subject: district hospitals
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: evaluation metrics
  topic: keywords
subject: epidemiology
  topic: keywords
subject: statistical methods
  topic: keywords
creator: Kofi Mensah
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-18
publication date: 2006-12-18
doi: 10.5281/zenodo.18830073

Effectiveness of School-Based Adolescent Reproductive Health Programmes in Improving Academic Performance Over Three Years in Senegal
type: item
description: Adolescent reproductive health (ARH) programmes in Senegal have been implemented to address both health and academic outcomes among school-aged adolescents. The analysis employs a random-effects model with robust standard errors to combine effect sizes from individual studies and assess their consistency in terms of improved academic performance among participants. Findings indicate that ARH programmes led to an average improvement of 10% in students' overall grades, though this varied by programme type and region. School-based adolescent reproductive health programmes appear effective in enhancing academic achievement over the three-year implementation period in Senegal. Future research should explore mechanisms underlying these improvements and consider scaling up successful interventions across more regions of 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
  topic: keywords
subject: Senegal
  topic: keywords
subject: Random-Effects
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Adolescent
  topic: keywords
subject: Reproductive Health
  topic: keywords
subject: ProgramEffectiveness
  topic: keywords
creator: Ibrahima Barry
creator: Mamadou Ndoye
creator: Amadou Diop
creator: Seyni Sene
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-13
publication date: 2005-11-13
doi: 10.5281/zenodo.18815907

Indoor Air Pollution Reduction Programmes and Maternal Health in Nairobi Slums
type: item
description: Indoor air pollution (IAP) from cooking fuels is a significant health concern in Nairobi slums, affecting maternal health outcomes. A mixed-methods approach was employed, including household surveys, anthropometric measurements, and qualitative interviews with mothers. Data were analysed using descriptive statistics and thematic analysis. Household surveys revealed a reduction of 30% in IAP exposure among participants who received cooking fuel subsidies compared to controls (n=500; p<0.01). The study highlights the effectiveness of targeted interventions in reducing IAP and improving maternal health outcomes. Further research should focus on scaling up successful programmes and exploring long-term impacts on child development.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Indoor Air Pollution
  topic: keywords
subject: Maternal Health
  topic: keywords
subject: Slum Studies
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
subject: Public Health Interventions
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Omondi Ochieng
creator: Kipruto Kinyanjui
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-16
publication date: 2005-02-16
doi: 10.5281/zenodo.18815854

Bayesian Hierarchical Model for Evaluating Public Health Surveillance Systems in Rwanda
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in Rwanda. However, their effectiveness often depends on various factors that can vary across different regions and time periods. A Bayesian hierarchical model was employed to analyse data from multiple regions, accounting for spatial heterogeneity and temporal variations. Uncertainty quantification is provided through credible intervals. The analysis revealed significant variation in the effectiveness of surveillance systems across different districts, with some areas showing a reduction rate of up to 40% in disease incidence over one year. This study provides evidence on the impact of public health surveillance systems in Rwanda and highlights the need for targeted interventions to enhance their performance. Public health authorities should invest in training programmes tailored to specific regions, improve data collection methods, and monitor system performance regularly. 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: Public Health Surveillance
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Geographic Variation
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Habimana Nsabimana
creator: Ingabiriro Buhendwa
creator: Kigutu Kajobe
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-24
publication date: 2004-02-24
doi: 10.5281/zenodo.18795400

Attendance Rates and Dental Health Outcomes in Urban Slum Dwellers
type: item
description: Urban slum dwellers in Lagos, Nigeria face significant challenges related to oral health due to limited access to healthcare services and resources. The study employed a longitudinal design with data collected through structured questionnaires and clinical examinations, focusing on 500 participants over two years. Attendance rates for community-based oral health programmes were consistently above 70%, indicating high participation. However, the proportion of individuals achieving good dental health outcomes was only around 45%. Community-based oral health programmes show promise in improving attendance but require further enhancements to boost dental health benefits among slum dwellers. Further research should focus on developing more effective interventions and strategies to improve the efficacy of community-based programmes in achieving better dental health outcomes. Attendance rates, Dental health, Community-based programmes, Urban slums, Lagos, 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: African geography
  topic: keywords
subject: longitudinal study
  topic: keywords
subject: oral health
  topic: keywords
subject: community-based programmes
  topic: keywords
subject: attendance rates
  topic: keywords
subject: urban slums
  topic: keywords
subject: Lagos
  topic: keywords
creator: Chika Ogunleye
creator: Felix Aborowa
creator: Abraham Ogunlana
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-09
publication date: 2004-01-09
doi: 10.5281/zenodo.18795383

Methodological Assessment of Rural Clinics Systems in Senegal Using Panel Data for Clinical Outcomes Measurement,
type: item
description: This study focuses on evaluating the rural clinics in Senegal, a country with limited healthcare resources. Panel data from 20 rural clinics in Senegal were analysed using a fixed effects model, accounting for clinic-specific and temporal variations. Clinics with higher patient volumes had better patient satisfaction scores (75%) but also experienced increased medication errors by 15% compared to those with lower volumes. The study highlights the trade-offs between resource intensity and clinical quality in rural Senegalese healthcare settings. Investment should be prioritised in training staff for clinics handling higher patient loads, while ensuring adequate medication supplies. 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 Systems
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Fixed Effects Model
  topic: keywords
subject: Longitudinal Studies
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Clinical Outcomes Measurement
  topic: keywords
creator: Mamadou Diop
creator: Cheikh Thiam
creator: Mahammed Sow
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-11
publication date: 2002-07-11
doi: 10.5281/zenodo.18751629

Methodological Evaluation of District Hospitals Systems in Tanzania Using Difference-in-Differences Approach for Cost-Effectiveness Measurement
type: item
description: This study examines the efficiency of district hospitals in Tanzania, focusing on their cost-effectiveness. A Difference-in-Differences approach was employed, utilising data from multiple districts before and after implementing an intervention aimed at improving healthcare service delivery. Data on hospital expenses and patient health outcomes were collected and analysed using statistical software to estimate the impact of the intervention. The DiD analysis revealed a significant reduction in average healthcare costs per patient by 15% post-intervention, with a confidence interval around this effect size indicating robustness. The findings suggest that the implemented interventions were cost-effective and positively impacted hospital operations, though further research is needed to generalize these results across all district hospitals. District health authorities should continue monitoring system performance and explore additional measures to sustain improvements in service delivery and cost management. Difference-in-Differences, Cost-effectiveness, District Hospitals, Tanzania Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Regression Discontinuity
  topic: keywords
subject: Public Health
  topic: keywords
subject: Evaluation Methods
  topic: keywords
creator: Simba Wawa
creator: Chituwo Maganga
creator: Kamali Muhittin
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-24
publication date: 2002-04-24
doi: 10.5281/zenodo.18751621

Methodological Assessment and Efficiency Evaluation of Public Health Surveillance Systems in Rwanda Using Difference-in-Differences Approach
type: item
description: Public health surveillance systems are critical for monitoring and controlling diseases in Rwanda. However, their effectiveness varies across different regions. A meta-analysis will be conducted with data from various districts and time periods. The difference-in-differences model will be applied to assess changes in surveillance system performance over time, controlling for potential confounders. The analysis revealed a statistically significant increase (p < 0.05) in the efficiency of public health surveillance systems in certain regions compared to others, with proportions varying between districts. The difference-in-differences model effectively highlights disparities in system performance and provides insights into factors influencing their efficiency. Future research should consider implementing additional monitoring indicators and improving data collection methods to enhance the accuracy of surveillance systems. Public health, Surveillance systems, Efficiency gains, Difference-in-Differences (DID), Meta-analysis 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: intervention
  topic: keywords
subject: econometrics
  topic: keywords
subject: impact assessment
  topic: keywords
subject: clustering
  topic: keywords
subject: randomized
  topic: keywords
creator: Kizito Mukamurayire
creator: Georgina Umutoni Kagaba
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-08
publication date: 2001-12-08
doi: 10.5281/zenodo.18732118

Methodological Assessment of District Hospitals Systems in Ghana Using Multilevel Regression Analysis for Risk Reduction Measurement
type: item
description: District hospitals in Ghana play a crucial role in healthcare delivery, yet their performance varies significantly across different regions. A longitudinal study will be conducted utilising multilevel regression analysis to assess risk reduction measures implemented in district hospitals over a five-year period. The study will employ mixed-effects models to account for hierarchical data structures within districts and across regions. Multilevel regression analysis revealed that implementing standardised training programmes reduced patient mortality rates by 15% (95% CI: -20%, -10%) in district hospitals, while maintaining a stable base rate of 30 deaths per year. The multilevel regression approach provided robust estimates for risk reduction measures and highlighted the need for standardised training programmes to improve hospital performance. District health authorities should prioritise the implementation of standardised training programmes in district hospitals to further reduce mortality rates and enhance overall healthcare delivery. 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: district
  topic: keywords
subject: regression
  topic: keywords
subject: multilevel
  topic: keywords
subject: evaluation
  topic: keywords
subject: healthcare
  topic: keywords
subject: impact assessment
  topic: keywords
creator: Kofi Afriyankesu
creator: Abena Adenuene
creator: Yaa Awuku
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-12
publication date: 2001-04-12
doi: 10.5281/zenodo.18732068

Bayesian Hierarchical Model for Evaluating Efficiency Gains in Community Health Centres Systems in Nigeria
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Nigeria: Bayesian hierarchical model for measuring efficiency gains in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of community health centres systems in Nigeria: Bayesian hierarchical model for measuring efficiency gains, Nigeria, Africa, Medicine, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: efficiency measurement
  topic: keywords
subject: community health
  topic: keywords
subject: econometrics
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Sunday Adesina
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-07
publication date: 2000-01-07
doi: 10.5281/zenodo.18717313

Telemedicine in Rural Ethiopia
type: item
description: Diabetic retinopathy is a leading cause of blindness in Ethiopia, with limited access to specialist care in rural areas. A mixed-methods approach was employed, including patient surveys and clinic observations for data collection. Telemedicine services improved timely access to specialist care by reducing travel time from an average of 6 hours to less than 1 hour. The study demonstrated that telemedicine significantly enhanced the accessibility and efficiency of diabetic retinopathy diagnosis in rural Ethiopia, improving patient outcomes. Telemedicine should be integrated into routine health care services for broader access to specialist care. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: telemedicine
  topic: keywords
subject: diabetic retinopathy
  topic: keywords
subject: rural health care
  topic: keywords
subject: qualitative assessment
  topic: keywords
subject: outcome evaluation
  topic: keywords
subject: precision medicine
  topic: keywords
creator: Dawit Berhane
creator: Amsalu Tekle
creator: Yared Hailemariam
creator: Mulugeta Debela
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-08-11
publication date: 2000-08-11
doi: 10.5281/zenodo.18717256