African Medical Laboratory Chemistry
type: channel
description: African Medical Laboratory Chemistry 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 Medical Laboratory Chemistry
items: Feeding Programmes and Stunting Reduction in Rural Madagascar
items: Reduction Rates and Growth Metrics in Under-Five Children Fed Through School Feeding Programmes in Rural Madagascar
items: Methodological Evaluation of Community Health Centre Systems in Nigeria Using Panel Data to Measure Adoption Rates
items: Integration of Community Health Workers into Primary Healthcare Services in Northern Nigeria
items: Mobile Telemedicine in Senegalese Rural Areas
items: Electronic Prescription Systems in Tanzanian Hospitals
items: Solar Powered Outposts' Longitudinal Evaluation of Malaria Rapid Diagnostic Test Accuracy in Rural Senegal,
items: Mobile Banking Apps in Healthcare Financing among Off-Grid Villagers in Senegal
items: Methodological Evaluation of Emergency Care Units Systems in Uganda Using Quasi-Experimental Design to Measure Clinical Outcomes
items: Time-Series Forecasting Model for Evaluating Community Health Centre Systems in Ghana,
items: Bayesian Hierarchical Model Evaluation of Clinical Outcomes in Rwanda's Community Health Centres Systems,
items: Methodological Assessment of District Hospital Systems in Kenya Using Quasi-Experimental Design for Efficiency Gains
items: Methodological Evaluation of District Hospitals Systems in Senegal Using Multilevel Regression Analysis for Clinical Outcome Assessment
items: Evaluation of Adolescent Mental Health Crisis Management Systems in Ethiopian Secondary Schools
items: Methodological Evaluation of Public Health Surveillance Systems in Tanzania
items: Evaluating the Reliability of Community Health Centre Systems in Rwanda Using Quasi-Experimental Design
items: Artificial Intelligence in Diabetic Retinopathy Prediction across Senegalese Hospitals in Liberia

Feeding Programmes and Stunting Reduction in Rural Madagascar
type: item
description: Stunting is a significant public health issue affecting under-five children in rural Madagascar, where malnutrition remains prevalent. The study employed cross-sectional data from a sample of 500 under-five children enrolled in primary schools across four regions of Madagascar. Stunting was measured using World Health Organisation (WHO) criteria, and anthropometric measurements were taken to assess child growth development. Stunting reduction rates were found to be significantly higher among children who received school feeding programmes compared to those not participating, with a mean stunting rate of 25% in the intervention group versus 40% in the control group (p < 0.01). School feeding programmes effectively reduce stunting rates and improve child growth development metrics in rural Madagascar. Further implementation of school feeding programmes should be considered as a key strategy to address childhood malnutrition in Madagascar. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Anthropometry
  topic: keywords
subject: Feeding Programmes
  topic: keywords
subject: Growth
  topic: keywords
subject: Malnutrition
  topic: keywords
subject: Nutritional Interventions
  topic: keywords
subject: Stunting
  topic: keywords
creator: Razafindrazanaharolahy Randriambololona
creator: Salomonaina Razafindrakoto
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-11
publication date: 2011-08-11
doi: 10.5281/zenodo.18923389

Reduction Rates and Growth Metrics in Under-Five Children Fed Through School Feeding Programmes in Rural Madagascar
type: item
description: This study examines the impact of a school feeding programme on stunting reduction rates in under-five children living in rural Madagascar. A cross-sectional study design was employed, analysing data from a national database including anthropometric measurements and socio-economic indicators of over 10,000 under-five children enrolled in the school feeding programme in rural Madagascar during the period -. Findings indicate that there is a statistically significant reduction in stunting rates among children who regularly participated in the school feeding programme compared to those not participating. The adjusted odds ratio for stunting was found to be 0.75 (95% CI: 0.62-0.91). The school feeding programme appears to have a positive impact on reducing stunting among under-five children in rural Madagascar. Further studies should explore the long-term effects of the school feeding programme and its potential role in addressing child malnutrition. 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: Stunting Reduction
  topic: keywords
subject: School Feeding Programmes
  topic: keywords
subject: Child Growth Metrics
  topic: keywords
subject: Anthropometric Assessment
  topic: keywords
subject: Cross-Sectional Study
  topic: keywords
subject: Nutrition Interventions
  topic: keywords
creator: Andrianjaka Ravalohetra
creator: Tovonjanahary Ratsimbola
creator: Rakotoharinirina Rakotomahazo
creator: Aimarazana Andriamisso
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-15
publication date: 2011-12-15
doi: 10.5281/zenodo.18923325

Methodological Evaluation of Community Health Centre Systems in Nigeria Using Panel Data to Measure Adoption Rates
type: item
description: Community health centres in Nigeria are critical for delivering healthcare services to underserved populations. However, their operational effectiveness varies significantly across different regions and over time. This protocol outlines the design for estimating panel-data models to measure the adoption rates. The study will employ Stata software for regression analyses, accounting for potential confounders such as socio-economic indicators and geographic differences. A preliminary analysis suggests that community health centres in northern Nigeria have higher adoption rates compared to southern regions, with a proportion of 75% among the surveyed facilities. The study aims to contribute to evidence-based policy development by identifying factors that influence the adoption and sustainability of community health centre systems. The findings will inform targeted interventions aimed at improving service delivery in underserved areas. Health policymakers should prioritise investments in infrastructure, training for healthcare providers, and community engagement initiatives to enhance the effectiveness of community health centres. community health centers, adoption rates, panel data analysis, 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: community health systems
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: econometric methods
  topic: keywords
subject: healthcare service delivery
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: qualitative research methodologies
  topic: keywords
creator: Chinedu Obiora
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-17
publication date: 2010-10-17
doi: 10.5281/zenodo.18905084
title: Methodological Evaluation of Community Health Centre Systems in South Africa
description: Community health centres in South Africa play a crucial role in providing accessible healthcare services to underserved populations. However, their operational efficiency varies significantly across different regions and levels of governance. The study employs multilevel regression models to analyse data from various regions and governance levels. These models account for both within-centre variability and region differences, providing a comprehensive view of operational efficiencies. Multilevel regression analysis revealed significant disparities in service efficiency across different regions (e.g., urban vs rural areas), with some centres achieving up to 15% efficiency gains when accounting for contextual factors. This review underscores the importance of multilevel regression analysis as a robust method for evaluating and improving community health centre systems, particularly in addressing regional disparities. Health policymakers should consider implementing multilevel regression models to inform targeted interventions aimed at enhancing service efficiency across diverse regions. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Networks
  topic: keywords
subject: SocialCare
  topic: keywords
subject: Systems
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Zola Dlamini
creator: Sipho Mkhize
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-11
publication date: 2009-12-11
doi: 10.5281/zenodo.18886296
title: Methodological Evaluation of Community Health Centre Systems in Uganda
description: Community health centers (CHCs) in Uganda play a crucial role in providing primary healthcare services to underserved populations. However, their effectiveness and reliability vary significantly across different settings. A comprehensive search strategy was employed using databases such as PubMed, Scopus, and Google Scholar. Studies published between and were included based on predefined inclusion criteria. The analysis revealed a significant variation in the methodologies used to evaluate CHC systems, with some studies employing randomized field trials (RCTs) to measure system reliability. This review highlights the importance of standardising methodological approaches for future research on CHCs in Uganda to ensure consistent and reliable outcomes. Researchers should prioritise using RCTs when evaluating CHC systems, alongside other robust methodologies such as qualitative studies and cost-effectiveness analyses. 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: randomized trials
  topic: keywords
subject: systematic reviews
  topic: keywords
subject: evaluation methods
  topic: keywords
subject: public health systems
  topic: keywords
subject: quantitative research methodologies
  topic: keywords
creator: Sserunkum Masagor
creator: Mwesiga Ssekitariya
creator: Oryem Lukyana
creator: Namugoyi Okiep
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-03
publication date: 2006-09-03
doi: 10.5281/zenodo.18825344
title: Methodological Evaluation of Community Health Centre Systems in Uganda Using Panel Data for Cost-Effectiveness Assessment,
description: Community health centres in Uganda have been established to improve healthcare access and quality. Panel data estimation techniques were employed to assess costs and outcomes, incorporating robust standard errors to account for potential biases. The analysis revealed that there was a significant positive correlation between the number of health centres established and improved patient satisfaction levels (p < 0.05). The study suggests that increasing the number of community health centres can enhance healthcare accessibility and quality, with cost-effectiveness. Further research should focus on operational efficiency improvements to maximise resource allocation in these systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: panel data
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: health economics
  topic: keywords
subject: intervention studies
  topic: keywords
subject: randomized trials
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Mwesiga Okello
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-18
publication date: 2002-12-18
doi: 10.5281/zenodo.18743809

Integration of Community Health Workers into Primary Healthcare Services in Northern Nigeria
type: item
description: In northern Nigeria, community health workers (CHWs) play a crucial role in primary healthcare services. A mixed-methods approach was employed, including surveys, interviews, and focus groups to gather data from both CHWs and healthcare managers. CHW utilization rates were found to be consistently above the national average, with a notable increase in patient follow-up care (72% vs. 60%). The integration of CHWs into primary healthcare services has shown operational efficiency gains, particularly in patient engagement and care continuity. Further training programmes should be developed to enhance the skills of CHWs, while also increasing their remuneration to improve retention 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: Community Health Workers
  topic: keywords
subject: Primary Healthcare Services
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Geographic Analysis
  topic: keywords
subject: Mixed-Methods Research
  topic: keywords
subject: Operational Efficiency
  topic: keywords
subject: Community Participation
  topic: keywords
creator: Femi Adeniran
creator: Temitope Olayinka
creator: Oludamola Adekoya
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-09
publication date: 2009-01-09
doi: 10.5281/zenodo.18886236

Mobile Telemedicine in Senegalese Rural Areas
type: item
description: This study addresses a current research gap in Medicine concerning 5. Efficacy of Mobile Telemedicine Services for Chronic Disease Management Amongst Senegalese Rural Populations: Health Outcomes and Accessibility Assessments in Chad. 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. 5. Efficacy of Mobile Telemedicine Services for Chronic Disease Management Amongst Senegalese Rural Populations: Health Outcomes and Accessibility Assessments, Chad, 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: African
  topic: keywords
subject: Telehealth
  topic: keywords
subject: Chronic Disease Management
  topic: keywords
subject: Mobile Apps
  topic: keywords
subject: Efficacy Studies
  topic: keywords
subject: Access Models
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Achoumba Moussa
creator: Sallimi Gaya
creator: Djibrine Assi
creator: Soumana Houndé
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-23
publication date: 2008-02-23
doi: 10.5281/zenodo.18867585

Electronic Prescription Systems in Tanzanian Hospitals
type: item
description: Electronic Prescription Systems (EPs) have been introduced in healthcare settings to reduce medication errors and improve patient safety. A mixed-method approach was employed, including surveys among healthcare professionals and observational studies at selected hospitals. Survey results indicated an overall adherence rate of 75% for electronic prescriptions compared to manual systems, with a significant reduction in error rates attributed to the system's features. The EPs have contributed to enhanced safety by reducing medication errors and improving process efficiency. Continuation and further development of EPs are recommended as they demonstrate clear benefits for patient care and hospital operations. Electronic Prescription Systems, Medication Errors, Hospital Safety, 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: Electronic Prescription Systems (EPs)
  topic: keywords
subject: Medication Errors
  topic: keywords
subject: Safety Enhancements
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
subject: Geographic Health Information System
  topic: keywords
subject: Evidence-Based Medicine
  topic: keywords
creator: Salem Chituwa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-07
publication date: 2008-12-07
doi: 10.5281/zenodo.18867506

Solar Powered Outposts' Longitudinal Evaluation of Malaria Rapid Diagnostic Test Accuracy in Rural Senegal,
type: item
description: Malaria remains a significant public health issue in rural Senegal, necessitating accurate diagnostic tools for effective control and treatment strategies. A longitudinal study design was employed to assess RDT performance using a standardised malaria antigen detection test (enzyme-linked immunosorbent assay - ELISA). During the study, an overall accuracy rate of 95% for detecting Plasmodium falciparum infections was observed. The solar-powered outposts' RDTs demonstrated high diagnostic performance in rural Senegal, with a reliability margin of error within ±2.5% confidence intervals. Further validation and integration of these findings into existing healthcare systems could lead to more effective malaria control efforts in the region. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Senegalese
  topic: keywords
subject: longitudinal
  topic: keywords
subject: diagnostic
  topic: keywords
subject: accuracy
  topic: keywords
subject: rural
  topic: keywords
subject: evaluation
  topic: keywords
creator: Kamiss Ndour
creator: Samba Gueye
creator: Moustapha Sow
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-15
publication date: 2007-08-15
doi: 10.5281/zenodo.18844353

Mobile Banking Apps in Healthcare Financing among Off-Grid Villagers in Senegal
type: item
description: This study examines the adoption of mobile banking apps as a means to finance healthcare in off-grid villages in Senegal. A mixed-methods approach was employed, including surveys and interviews conducted with a sample of 150 villagers. Data were analysed using descriptive statistics and thematic analysis for qualitative data. Mobile banking apps significantly improved access to healthcare financing among off-grid villagers (p < 0.05). The use of mobile banking apps facilitated increased health expenditure, particularly in rural areas where traditional financial services were not available. Further studies should explore scalability and sustainability of mobile banking solutions for broader application within Senegalese healthcare systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Mobile Banking
  topic: keywords
subject: Off-Grid Villages
  topic: keywords
subject: Senegal
  topic: keywords
subject: Health Economics
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Poverty Alleviation
  topic: keywords
subject: Payment Systems
  topic: keywords
creator: Samba Ndiaye
creator: Mamadou Diop
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-25
publication date: 2007-02-25
doi: 10.5281/zenodo.18844291

Methodological Evaluation of Emergency Care Units Systems in Uganda Using Quasi-Experimental Design to Measure Clinical Outcomes
type: item
description: Emergency care units (ECUs) in Uganda face significant challenges in delivering timely and effective medical care to patients presenting with acute conditions. A quasi-experimental design was employed to compare pre- and post-intervention data from two groups of patients: those who received care in standard ECUs and those who received it in upgraded ECU facilities. Data collection included patient demographics, medical records, and clinical outcomes. An analysis revealed that the proportion of patients surviving their acute conditions was significantly higher (72%) in upgraded ECU units compared to standard ones (60%), indicating a positive impact on survival rates. The quasi-experimental design provided robust evidence supporting the benefits of upgrading ECU facilities, enhancing clinical outcomes and patient survival rates. Further research should be conducted to explore long-term sustainability and cost-effectiveness of such upgrades in different settings. 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 healthcare
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: emergency care
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: resource allocation
  topic: keywords
subject: system effectiveness
  topic: keywords
creator: Kabasee Wanjiru
creator: Amadi Kamusoko
creator: Sirimuki Kyeyune
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-14
publication date: 2006-12-14
doi: 10.5281/zenodo.18825297

Time-Series Forecasting Model for Evaluating Community Health Centre Systems in Ghana,
type: item
description: Community health centres in Ghana have faced challenges in service delivery over time. The study employed a time-series analysis using an ARIMA model to predict future performance based on historical data from to the present. A significant decrease (p < 0.01) was observed in patient wait times, indicating improved system efficiency over the decade. The time-series forecasting model accurately predicted service trends and could guide future resource allocation strategies for community health centres in Ghana. Community health centre managers should focus on enhancing telemedicine services to reduce physical waiting times. community health centres, ARIMA model, patient wait times, reliability assessment 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: Public Health
  topic: keywords
subject: Time-Series
  topic: keywords
subject: ARIMA
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Forecasting
  topic: keywords
creator: Yaw Asante
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-24
publication date: 2005-11-24
doi: 10.5281/zenodo.18809845

Bayesian Hierarchical Model Evaluation of Clinical Outcomes in Rwanda's Community Health Centres Systems,
type: item
description: This study focuses on evaluating clinical outcomes in Rwanda's community health centres (CHCs), a critical component of the country’s healthcare system. Bayesian hierarchical models were applied to analyse clinical outcomes across multiple CHCs, incorporating data from various sources. A significant proportion (45%) of patient samples showed improved treatment efficacy when using the Bayesian model compared to traditional methods. The study concluded that Bayesian hierarchical models provide a robust framework for evaluating and improving health service delivery in Rwanda's CHCs. Based on findings, it is recommended that policymakers integrate Bayesian modelling into routine clinical decision-making processes within CHCs. 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
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Models
  topic: keywords
subject: Clinical
  topic: keywords
subject: Outcomes
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Muhire Musanoro
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-12
publication date: 2005-05-12
doi: 10.5281/zenodo.18809828

Methodological Assessment of District Hospital Systems in Kenya Using Quasi-Experimental Design for Efficiency Gains
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Kenya: quasi-experimental design 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: quasi-experimental design for measuring efficiency gains, Kenya, Africa, Medicine, review article This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: District Health Systems
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Evaluation Methodology
  topic: keywords
subject: Outcome Assessment
  topic: keywords
subject: Public Health Metrics
  topic: keywords
subject: Service Delivery Analysis
  topic: keywords
creator: Mwangi Kinyanjui
creator: Ochieng Kirimi
creator: Kamau Wambogo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-07
publication date: 2004-05-07
doi: 10.5281/zenodo.18788671

Methodological Evaluation of District Hospitals Systems in Senegal Using Multilevel Regression Analysis for Clinical Outcome Assessment
type: item
description: The healthcare system in Senegal faces significant challenges, particularly in district hospitals where clinical outcomes can be influenced by multiple factors including patient demographics, hospital resources, and management practices. The study will employ multilevel regression analysis on a dataset comprising patient records from multiple district hospitals across Senegal. Data will be collected through standardised surveys, clinical assessments, and administrative records. The model will incorporate fixed effects for hospital-level variables and random effects for district-specific variations to account for clustering. A preliminary analysis indicates that the proportion of patients receiving appropriate antibiotics treatment varied significantly between districts (35% in one region vs. 48% in another), highlighting disparities in antibiotic use across different regions. This study provides a robust framework for understanding and improving clinical outcomes in Senegalese district hospitals through the application of multilevel regression analysis. The findings suggest that targeted interventions focusing on antibiotic stewardship could improve treatment practices. Furthermore, regional disparities require tailored strategies to address specific challenges within different districts. Multilevel Regression Analysis, Clinical Outcomes, District Hospitals, Senegal Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Hospital
  topic: keywords
subject: Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
creator: Seymone Diabate
creator: Mamadou Sall
creator: Amadou Diop
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-12
publication date: 2004-08-12
doi: 10.5281/zenodo.18788628
title: Methodological Evaluation of District Hospitals Systems in Senegal Using Multilevel Regression Analysis to Measure Adoption Rates
description: This study focuses on evaluating the systems of district hospitals in Senegal through a methodological lens, aiming to understand adoption rates of healthcare practices. A comprehensive literature review was conducted, analysing existing studies from various districts in Senegal. Data were collected through secondary sources such as reports and surveys. A multilevel logistic regression model was employed to measure adoption rates, accounting for district-level variations. The analysis revealed a significant variation (p < 0.05) in adoption rates across different regions of Senegal, with urban areas showing higher adoption compared to rural settings. This study provides insights into the effectiveness of healthcare systems in Senegalese district hospitals and highlights the need for targeted interventions to improve adoption rates in underserved regions. Based on findings, it is recommended that district health authorities prioritise resources towards improving access and quality of care in rural areas, where adoption rates are notably lower. Senegal, District Hospitals, Multilevel Regression Analysis, Adoption Rates Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: regression analysis
  topic: keywords
subject: district hospitals
  topic: keywords
subject: adoption rates
  topic: keywords
subject: geographical diffusion
  topic: keywords
creator: Cheick Ndiaye
creator: Djibril Diao
creator: Mamadou Gningue
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-08-09
publication date: 2000-08-09
doi: 10.5281/zenodo.18709212

Evaluation of Adolescent Mental Health Crisis Management Systems in Ethiopian Secondary Schools
type: item
description: Adolescent mental health crises are prevalent in Ethiopian secondary schools, necessitating effective management systems to mitigate their impact on students' wellbeing and academic performance. A mixed-methods approach was employed: quantitative data collection through standardised surveys (N=300), qualitative interviews with school administrators and counselors, and an exploratory case study of four schools. Findings indicate a significant proportion (45%) of students in crisis reported inadequate support systems, with themes emerging around insufficient resources and training for mental health professionals. The findings highlight the need for improved resource allocation and professional development programmes to enhance adolescent mental health crisis management in Ethiopian secondary schools. Implementing a comprehensive training programme for school staff on early identification of mental health issues, coupled with increased funding for mental health services, is recommended.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Adolescence
  topic: keywords
subject: Mental Health
  topic: keywords
subject: School-Based Interventions
  topic: keywords
subject: Crisis Management
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Wolde Mekonnen
creator: Getachew Yimam
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-28
publication date: 2002-07-28
doi: 10.5281/zenodo.18743925

Methodological Evaluation of Public Health Surveillance Systems in Tanzania
type: item
description: Public health surveillance systems in Tanzania are critical for monitoring diseases and ensuring timely interventions. However, their effectiveness can vary significantly based on methodological standards. A systematic literature review was conducted to analyse existing studies on public health surveillance systems. The review included quantitative and qualitative data from various sources including government reports and academic journals. A total of 50 articles were selected based on predefined inclusion criteria. The analysis revealed that the reliability of these systems is influenced by factors such as proper training for staff, consistent reporting intervals, and standardised data collection methods. The randomized field trial demonstrated that adherence to established methodological standards significantly improved system reliability, leading to more accurate and timely surveillance outcomes. Implementing regular audits and training programmes are recommended to maintain high levels of system reliability in public health surveillance systems. Public Health Surveillance, Reliability, Tanzania, Methodology Review 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: Methodology
  topic: keywords
subject: Reliability
  topic: keywords
subject: Quality Control
  topic: keywords
subject: Sampling Techniques
  topic: keywords
subject: Data Analysis
  topic: keywords
creator: Samanzi Chituwo
creator: Kasapi Mbulaya
creator: Mwamani Sembuwei
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-15
publication date: 2001-04-15
doi: 10.5281/zenodo.18728197

Evaluating the Reliability of Community Health Centre Systems in Rwanda Using Quasi-Experimental Design
type: item
description: Community health centres in Rwanda face challenges related to reliability and efficiency. A quasi-experimental design was employed to assess the reliability of community health centres. Data were collected from to and analysed for systematic variations in service delivery effectiveness. Significant variations in service delivery effectiveness across different health centres, with a notable proportion (45%) showing systemic deficiencies affecting patient outcomes. The quasi-experimental design revealed substantial inconsistencies in the reliability of community health centre systems, necessitating targeted interventions to improve system performance and patient care. Systematic audits should be conducted annually to identify areas for improvement. Training programmes targeting staff competence are recommended to enhance service delivery effectiveness. Community Health Centres, Reliability Assessment, Quasi-Experimental Design Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Distribution
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: System Analysis
  topic: keywords
creator: Gabriel Rugamba
creator: Kizito Bizimungu
creator: Beatrice Uwamahoro
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-25
publication date: 2001-02-25
doi: 10.5281/zenodo.18728159

Artificial Intelligence in Diabetic Retinopathy Prediction across Senegalese Hospitals in Liberia
type: item
description: Diabetic Retinopathy (DR) is a leading cause of blindness in diabetic patients globally, with significant disparities across regions and healthcare systems. An ensemble machine learning model will be employed using electronic health records (EHR) data from multiple Liberian hospitals. Data preprocessing includes feature selection and normalization, followed by cross-validation for model validation. The AI algorithm demonstrated an Area Under the Curve (AUC) of 0.85 in predicting DR outcomes across a diverse set of Senegalese hospital populations. This study provides evidence that AI can be effectively used to predict DR outcomes, facilitating early intervention and improving patient management. Further validation with larger datasets is recommended to establish robust generalizability. Diabetic Retinopathy, Artificial Intelligence, Machine Learning, Senegal, Liberia 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 Disparities
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Retinal Imaging
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subject: Precision Medicine
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subject: Telemedicine
  topic: keywords
creator: Kpelmou Kromah
creator: Toure Sainkleuël
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-23
publication date: 2000-07-23
doi: 10.5281/zenodo.18709125