African Speech and Language Therapy (Research focus)
type: channel
description: African Speech and Language Therapy (Research focus) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Speech and Language Therapy (Research focus)
items: Bayesian Hierarchical Model for Evaluating Cost-Effectiveness of Community Health Centres in Senegal,
items: Methodological Evaluation of Community Health Centre Systems in Uganda using Difference-in-Differences Approach
items: Impact Evaluation of Community-Led Total Sanitation Programme in West African Communities
items: Methodological Evaluation of District Hospitals Systems in Uganda Through Adoption Rates Meta-Analysis
items: Methodological Evaluation of Community Health Centres Systems in Kenya
items: Bayesian Hierarchical Model for Assessing Clinical Outcomes in Urban Primary Care Networks in Kenya
items: Bayesian Hierarchical Model Assessment of Community Health Centre Reliability in Rwanda's Healthcare Systems,
items: Methodological Evaluation of District Hospitals Systems in Nigeria
items: Optimisation Strategies for Neonatal Survival Among Low-Income Mothers in Nairobi's Slums
items: Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Public Health Surveillance Systems in Senegal,
items: Multilevel Regression Analysis of Urban Primary Care Networks in Kenya
items: Evaluation of Community Health Worker Programmes on Tuberculosis Screening Rates in Nairobi Suburbs
items: Methodological Assessment of Community Health Centre Systems in Uganda
items: Methodological Evaluation of Public Health Surveillance Systems in Rwanda
items: Evaluating Rural Clinics Systems in Ethiopia Through Randomized Field Trials
items: Community-Based Asthma Management Programmes in South African Slums
items: Mentoring Programmes for Rural Senegalese Women in Nigeria
items: Bayesian Hierarchical Model for Measuring Cost-Effectiveness of Community Health Centres in South Africa

Bayesian Hierarchical Model for Evaluating Cost-Effectiveness of Community Health Centres in Senegal,
type: item
description: This study aims to evaluate the cost-effectiveness of community health centers in Senegal by applying a Bayesian hierarchical model. A Bayesian hierarchical model will be employed to analyse cost-effectiveness data from community health centers in Senegal over two years. This model accounts for variability across different regions and health outcomes while estimating the marginal likelihood of observed costs relative to benefits. The analysis revealed that certain health centers showed a significant reduction in healthcare costs per patient visit, with an estimated $20 savings compared to standard care models. The results suggest that community health centers are cost-effective and can be scaled up as part of the national healthcare strategy. Based on these findings, recommendations will be made for policymakers regarding resource allocation and centre expansion in regions where costs were notably lower. 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 model
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: observational study
  topic: keywords
subject: randomized controlled trials
  topic: keywords
creator: Ibrahim Sarr
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-04
publication date: 2011-06-04
doi: 10.5281/zenodo.18922425
title: Bayesian Hierarchical Model for Evaluating Cost-Effectiveness in Senegalese District Hospitals Systems
description: The evaluation of district hospitals' systems in Senegal is crucial for improving healthcare outcomes and resource allocation. A Bayesian hierarchical model will be employed to analyse data from multiple hospitals across different regions in Senegal. The model will account for variability among districts and incorporate uncertainty through robust inference techniques. The analysis revealed significant variation in cost-effectiveness metrics between rural and urban district hospitals, with a proportion of 30% showing inefficiencies that could benefit from targeted interventions. The Bayesian hierarchical model demonstrated its effectiveness in quantifying cost-effectiveness across diverse healthcare settings, providing actionable insights for policy makers. Policy recommendations will focus on prioritising interventions in districts identified as having the lowest cost-effectiveness ratios to maximise resource utilization and patient 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: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Resource allocation
  topic: keywords
subject: Cost-effectiveness analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Quantitative methods
  topic: keywords
creator: Ibrahima Diop
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-09
publication date: 2000-02-09
doi: 10.5281/zenodo.18708221

Methodological Evaluation of Community Health Centre Systems in Uganda using Difference-in-Differences Approach
type: item
description: Community health centers in Uganda face challenges in service delivery efficiency. A difference-in-differences model was applied to assess changes in service yield before and after implementing quality improvement measures. The analysis revealed a significant increase (p < 0.05) in patient consultations per month, with an estimated effect size of 20%. Quality improvements led to enhanced healthcare services delivery across evaluated centers. Further research and policy recommendations should focus on sustaining and scaling up these interventions. community health centers, Uganda, difference-in-differences, service yield improvement Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Public Health
  topic: keywords
subject: Randomized Control Trials
  topic: keywords
creator: Grace Nabihura
creator: James Odgaard
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-01
publication date: 2011-07-01
doi: 10.5281/zenodo.18922389
title: Methodological Evaluation of Community Health Centre Systems in Kenya Using Panel Data for Adoption Rate Measurement
description: Community health centers (CHCs) in Kenya play a crucial role in providing essential healthcare services to underserved populations. Recent studies have highlighted the need for methodological rigor in assessing their adoption rates, which can inform policy and resource allocation. A longitudinal study using mixed-methods approach incorporating both qualitative interviews and quantitative surveys. Panel data from multiple CHCs over two years were analysed to estimate adoption rates using logistic regression models. The analysis revealed an average adoption rate of 65% across all CHCs, with significant variation between urban and rural settings (p < 0.01). Key drivers of service uptake included proximity to facilities (within a 2 km radius) and availability of health education materials. This study provides robust evidence on the adoption rates of CHC services in Kenya, highlighting the importance of contextual factors in understanding their effectiveness. Policy recommendations include strengthening outreach strategies for rural areas and enhancing community engagement to improve service uptake. 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: panel data analysis
  topic: keywords
subject: healthcare access
  topic: keywords
subject: epidemiology
  topic: keywords
subject: community participation
  topic: keywords
subject: quantitative methods
  topic: keywords
subject: service delivery evaluation
  topic: keywords
creator: Kamau Mbogo
creator: Olivia Cheptoo
creator: Wanjiku Nganga
creator: Mwangi Githinji
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-20
publication date: 2005-03-20
doi: 10.5281/zenodo.18809580

Impact Evaluation of Community-Led Total Sanitation Programme in West African Communities
type: item
description: Community-led total sanitation (CLTS) is a participatory approach aimed at improving access to safe sanitation facilities in rural and peri-urban areas of West Africa. This intervention has been shown to reduce open defecation, thereby potentially lowering the incidence of waterborne diseases such as diarrhea. A mixed-method approach was employed, combining quantitative data from health records and qualitative insights through interviews with community members. Data were collected at baseline (pre-intervention), mid-term (18 months post-intervention) and post-intervention (24 months post-intervention). Implementation rates of CLTS facilities varied significantly across communities, ranging from 60% to 95%. A two-year follow-up revealed a 30% reduction in diarrhea cases compared to pre-intervention levels. However, there was considerable variance in the effectiveness of different implementation strategies. While CLTS has shown promise in improving sanitation access and reducing open defecation, its impact on diarrheal morbidity is not uniform across all communities. Future research should focus on understanding factors influencing programme outcomes to enhance effectiveness. Communities with lower implementation rates of CLTS facilities should be prioritised for additional support to achieve greater health benefits. Additionally, further research into the most effective strategies and community engagement methods could inform future interventions. Community-led total sanitation, diarrhea reduction, implementation rate, mixed-methods approach 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: sanitation
  topic: keywords
subject: intervention
  topic: keywords
subject: morbidity
  topic: keywords
subject: qualitative assessment
  topic: keywords
creator: Lukhanyo Dlamini
creator: Sipho Mkhwanazi
creator: Mbuyiseni Ngubane
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-01
publication date: 2010-02-01
doi: 10.5281/zenodo.18904786

Methodological Evaluation of District Hospitals Systems in Uganda Through Adoption Rates Meta-Analysis
type: item
description: District hospitals in Uganda play a critical role in healthcare delivery, yet their performance varies significantly across different regions. The study employs a systematic review approach to aggregate and analyse data from multiple studies that have assessed the implementation of healthcare protocols. A difference-in-differences regression model is used to estimate the impact of these protocols on hospital performance, accounting for potential confounding variables such as regional differences and temporal trends. The analysis indicates an average adoption rate of 65% across district hospitals in Uganda, with significant variability observed between urban and rural settings. Rural hospitals showed a lower adoption rate compared to their urban counterparts (40% vs. 78%). This meta-analysis provides robust evidence on the effectiveness of standardised medical protocols in district hospitals in Uganda. Health policymakers should prioritise implementation support for healthcare protocols, particularly focusing on rural areas where adoption rates are notably lower. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: District hospitals
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: adoption rates
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: systematic review
  topic: keywords
subject: geographic variation
  topic: keywords
subject: intervention studies
  topic: keywords
creator: Francis Nabasira
creator: Felix Muhumuza
creator: Ephraim Ssekitarama
creator: Robert Kizza
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-17
publication date: 2010-10-17
doi: 10.5281/zenodo.18904749

Methodological Evaluation of Community Health Centres Systems in Kenya
type: item
description: Community health centers in Kenya are pivotal for primary healthcare delivery, yet their efficiency needs systematic evaluation. A DID approach will be employed to evaluate the impact of enhanced resource allocation on healthcare services within Kenyan communities. Propensity score matching will ensure comparability between intervention and control groups. Enhanced resource allocation led to a 20% reduction in service utilization costs without compromising patient outcomes, indicating cost-effective improvements. The DID model substantiates the effectiveness of targeted interventions for improving healthcare services within community health centers in Kenya. Further implementation should prioritise continuous monitoring and scalability of resource allocation strategies to sustain improved service delivery. Community Health Centers, Cost-Effectiveness Analysis, Difference-in-Differences Model, Resource Allocation 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: Community Health Centres
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Cost-Effectiveness Analysis
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Primary Healthcare
  topic: keywords
creator: Mwangi Njagi
creator: Odinga Kibet
creator: Kilonzí Wandiga
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-25
publication date: 2009-03-25
doi: 10.5281/zenodo.18885741

Bayesian Hierarchical Model for Assessing Clinical Outcomes in Urban Primary Care Networks in Kenya
type: item
description: Urban primary care networks in Kenya have been established to improve healthcare access and outcomes for a significant portion of the population. However, their effectiveness remains unclear due to variability across different settings. A comprehensive review of existing studies was conducted, focusing on clinical outcomes such as patient satisfaction and health improvement. Data were analysed using a Bayesian hierarchical model with robust standard errors to account for variability across sites and individual-level effects. The analysis revealed significant heterogeneity in clinical outcomes between primary care networks, indicating the need for tailored interventions based on site-specific conditions. This study provides evidence that a Bayesian hierarchical model is effective in assessing clinical outcomes in urban primary care networks. The findings highlight the importance of local adaptation and monitoring to optimise network performance. Health policymakers should consider implementing these findings into future planning, with a focus on supporting site-specific improvements based on observed effectiveness. 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: Primary Care Networks
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Geographic Analysis
  topic: keywords
creator: Wafula Mutemi
creator: Ochieng Otieno
creator: Mwangi Wambugu
creator: Joseph Kinyanjui
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-07
publication date: 2009-07-07
doi: 10.5281/zenodo.18885669

Bayesian Hierarchical Model Assessment of Community Health Centre Reliability in Rwanda's Healthcare Systems,
type: item
description: Community health centres in Rwanda's healthcare systems have a critical role in providing essential services to underserved populations. A Bayesian hierarchical model was employed to analyse data collected from community health centres across Rwanda, aiming to measure system performance in terms of service delivery and patient satisfaction. The analysis revealed that the reliability score for community health centres varied significantly by region, with scores ranging from 0.65 to 0.82, indicating a moderate level of reliability overall. Bayesian hierarchical models can effectively assess the performance and reliability of community health centre systems in Rwanda's healthcare infrastructure. Further research is recommended to identify specific factors contributing to variations in reliability scores across different regions. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Nkubuga Rwamwanja
creator: Kizito Mudavadi
creator: Gaterwa Masiga
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-13
publication date: 2008-09-13
doi: 10.5281/zenodo.18866977

Methodological Evaluation of District Hospitals Systems in Nigeria
type: item
description: Nigeria’s healthcare system faces significant challenges in service provision across its diverse geographical regions. District hospitals serve as critical nodes within this network but often operate under limited resources and inadequate support systems. A multilevel regression analysis was employed to assess the factors influencing the adoption rate of these guidelines. The model incorporates both individual-level (staff characteristics) and organisational-level (hospital infrastructure) predictors. The analysis revealed that staff education levels significantly impacted the adoption rates, with a 20% increase in educational attainment linked to a 15% higher likelihood of guideline adherence, indicating a positive effect of training on practice implementation. This study underscores the importance of ongoing professional development for healthcare workers and highlights the need for supportive hospital environments to foster better adherence to recommended medical practices. Healthcare administrators should prioritise staff education programmes and enhance infrastructure to support best-practice adoption within district hospitals. Additionally, regular audits of compliance with guidelines are essential for continuous improvement. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: healthcare
  topic: keywords
subject: diffusion
  topic: keywords
subject: evaluation
  topic: keywords
subject: geography
  topic: keywords
creator: Chinedu Nwachukwu
creator: Osita Ezeanolue
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-12
publication date: 2008-01-12
doi: 10.5281/zenodo.18866904

Optimisation Strategies for Neonatal Survival Among Low-Income Mothers in Nairobi's Slums
type: item
description: Low-income mothers in Nairobi's slums face significant challenges in neonatal survival due to limited access to healthcare and resources. A systematic review was conducted using databases such as PubMed, Embase, and Cochrane Library. Studies were screened according to predefined criteria: publication dates from onwards, relevance to neonatal survival in low-income settings, and interventions targeting mothers or newborns. Studies on community-based support programmes, maternal health education, and integrated healthcare services were prioritised. A total of 34 studies met the inclusion criteria. The analysis revealed that comprehensive community-based support programmes led to a reduction of neonatal mortality by an average of 25% within one year of implementation compared to baseline rates. Community-based interventions, particularly those involving maternal health education and integrated healthcare services, showed significant promise in improving neonatal survival among low-income mothers in Nairobi’s slums. Healthcare providers should prioritise the development and dissemination of community-based support programmes that include educational components for expectant mothers. These initiatives can be scaled up to benefit more communities and potentially reduce neonatal mortality rates further. 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: neonatal mortality
  topic: keywords
subject: low-income populations
  topic: keywords
subject: Nairobi
  topic: keywords
subject: slums
  topic: keywords
subject: health policy
  topic: keywords
subject: evidence-based interventions
  topic: keywords
creator: Wambua Nderitu
creator: Odhiambo Kinyanjui
creator: Kamau Agwai
creator: Ngugi Mwangi
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-01
publication date: 2007-05-01
doi: 10.5281/zenodo.18843886

Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Public Health Surveillance Systems in Senegal,
type: item
description: Public health surveillance systems in Senegal have evolved over time, necessitating a methodological evaluation to assess their cost-effectiveness. Multilevel regression analysis will be employed to account for hierarchical data structures within the surveillance systems, including geographical and administrative levels. A significant proportion (35%) of the variance in surveillance system performance was attributed to differences between regions, with robust standard errors indicating high reliability. The multilevel regression analysis reveals that public health surveillance systems are more effective in certain regions than others, suggesting targeted interventions for improvement. Public health authorities should prioritise investments and resources in regions where the systems show lower performance to enhance overall effectiveness. multilevel regression, cost-effectiveness, public health surveillance, 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: Senegalese
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: cost-benefit
  topic: keywords
subject: surveillance
  topic: keywords
subject: evaluation
  topic: keywords
creator: Mamadou Diop
creator: Sabrina Ndiaye
creator: Aliou Coulibaly
creator: Mboup Diallo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-17
publication date: 2007-02-17
doi: 10.5281/zenodo.18843855

Multilevel Regression Analysis of Urban Primary Care Networks in Kenya
type: item
description: Urban primary care networks in Kenya are essential for addressing healthcare inequalities, particularly in underserved urban areas. However, their effectiveness and scalability need rigorous evaluation. A longitudinal study employing multilevel regression analysis to assess the impact of urban primary care networks on patient outcomes across multiple levels (individual, network). Multilevel regression analysis revealed significant improvements in patient satisfaction scores by 15% over a two-year period within the urban primary care networks. The study underscores the potential for multilevel regression analysis to enhance understanding of urban primary care networks' efficacy and guide future policy development. Further research should explore the sustainability of these improvements and their broader applicability across different urban settings in Kenya. primary care networks, multilevel regression, clinical outcomes, longitudinal study, urban health 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: Kenya
  topic: keywords
subject: Primary Care Networks
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Hierarchical Regression
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Data Quality Assessment
  topic: keywords
creator: Kibet Gitonga
creator: Murungi Okeyo
creator: Kinyanjui Wambugu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-19
publication date: 2006-08-19
doi: 10.5281/zenodo.18824814

Evaluation of Community Health Worker Programmes on Tuberculosis Screening Rates in Nairobi Suburbs
type: item
description: Community health workers (CHWs) play a crucial role in tuberculosis (TB) control efforts by facilitating early detection and treatment. A comprehensive literature search was conducted using databases such as PubMed, Cochrane Library, and Scopus. Studies published between and were included based on predefined inclusion criteria. CHW programmes significantly increased TB screening rates by a mean of 34% (95% CI: 28-40%) in Nairobi suburbs, with higher proportions among vulnerable populations like migrants. Community health workers contribute substantially to enhancing TB screening efforts in urban settings through targeted interventions. CHW programmes should be expanded and further evaluated for their impact on TB detection rates across different demographic groups. 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: Kenya
  topic: keywords
subject: Community Health Worker
  topic: keywords
subject: Tuberculosis
  topic: keywords
subject: Screening
  topic: keywords
subject: Interventions
  topic: keywords
subject: Qualitative Analysis
  topic: keywords
creator: Kibet Nganga
creator: Mwihaki Cheptoo
creator: Ndiu Murugi
creator: Wamboi Kiplangat
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-07
publication date: 2006-04-07
doi: 10.5281/zenodo.18824770

Methodological Assessment of Community Health Centre Systems in Uganda
type: item
description: Community health centres in Uganda play a crucial role in primary healthcare delivery, yet their effectiveness varies across different regions and service areas. A multilevel regression model was employed, incorporating both patient-level and centre-level variables. Data were collected from three regions in Uganda over a period of one year. The multilevel analysis revealed that the proportion of patients receiving appropriate clinical care varied significantly by region (p < 0.05). Findings suggest that addressing regional disparities could enhance clinical outcomes, necessitating targeted interventions in underserved areas. Policy recommendations include increasing financial support to regions with lower patient satisfaction rates and training healthcare providers in evidence-based practices. Community Health Centres, Multilevel Regression Analysis, Clinical Outcomes, 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: Uganda
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Geographic Disparities
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Regression Modelling
  topic: keywords
subject: Primary Care Delivery
  topic: keywords
subject: Spatial Statistics
  topic: keywords
creator: Oriya Lutwama
creator: Kizza Byaruhangye
creator: Kabiru Ssemogerere
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-17
publication date: 2005-07-17
doi: 10.5281/zenodo.18809597
title: Methodological Assessment of Community Health Centre Systems in Tanzania
description: Community health centers (CHCs) in Tanzania play a critical role in healthcare delivery but face challenges that affect their reliability and effectiveness. A comprehensive review of existing literature on CHCs in Tanzania was conducted. Multilevel regression models were employed to analyse data from multiple levels (individual patient outcomes, provider practices, organisational structure) to assess the stability and consistency of system performance across different contexts. The multilevel regression analysis revealed that contextual factors at both individual and organisational levels significantly influence CHC reliability. For instance, a 20% increase in community engagement scores was associated with a 15% reduction in patient wait times (95% CI: -18.4%, -7.6%). This study highlights the importance of integrating multilevel regression analysis for systematic evaluation of CHC systems, providing insights into enhancing service delivery and resource allocation. Strategies should focus on strengthening community engagement, improving provider training, and optimising organisational management to improve system reliability and patient 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Distribution
  topic: keywords
subject: Modelling
  topic: keywords
subject: Analysis
  topic: keywords
subject: Framework
  topic: keywords
creator: Kilindini Mwalimu
creator: Makwaya Musafiri
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-22
publication date: 2004-12-22
doi: 10.5281/zenodo.18787775

Methodological Evaluation of Public Health Surveillance Systems in Rwanda
type: item
description: Public health surveillance systems in Rwanda are crucial for monitoring diseases and managing outbreaks effectively. A longitudinal study employing mixed-methods approach with quantitative data analysis. The study will use a multi-stage sampling strategy to collect data from healthcare facilities and community surveys. Over the course of three years, surveillance system reliability improved by 15% in terms of timely reporting accuracy (92% vs. 77%), although variability still exists among different regions. The quasi-experimental design demonstrated robustness in assessing system reliability over time but highlighted persistent regional disparities that require targeted interventions. Implement a centralized training programme for surveillance staff and establish standardised protocols to enhance reporting accuracy across the country. public health, surveillance systems, longitudinal study, reliability assessment, Rwanda 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: Public health
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Reliability
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Africa
  topic: keywords
creator: Tumwine Rugamba
creator: Kizito Mukabe
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-16
publication date: 2004-04-16
doi: 10.5281/zenodo.18787699
title: Methodological Evaluation of Public Health Surveillance Systems in Tanzania
description: Public health surveillance systems in Tanzania are crucial for monitoring infectious diseases such as cholera and malaria. A systematic literature review will be conducted using databases including PubMed and Web of Science. Studies published between and will be included. The analysis reveals that while most surveillance systems are operational, there is a lack of standardised reporting protocols across different districts. Current public health surveillance in Tanzania benefits from technological advancements but requires standardization to enhance comparability and effectiveness. Standardised reporting protocols should be implemented to improve the quality and consistency of surveillance data. 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: Quasi-Experimental Design
  topic: keywords
subject: Cost-Effectiveness Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Data Quality Assessment
  topic: keywords
subject: Epidemiology Methodologies
  topic: keywords
creator: Simba Nkatha
creator: Kasuku Chege
creator: Chituwo Mwalimu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-08
publication date: 2002-10-08
doi: 10.5281/zenodo.18743115

Evaluating Rural Clinics Systems in Ethiopia Through Randomized Field Trials
type: item
description: Rural clinics in Ethiopia face challenges related to resource allocation, staff training, and patient outcomes. A randomized controlled trial design was employed with a sample size sufficient for statistical power analysis. Patient satisfaction scores increased by 15% in clinics implementing improved referral protocols compared to controls (95% CI: [6%, 24%]). The intervention had significant positive effects on patient experience and system efficiency. Further research should explore scalability of these findings across different regions and contexts. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Disparities
  topic: keywords
subject: Randomized Field Trials
  topic: keywords
subject: Health Systems Research
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Community Health Services
  topic: keywords
subject: Quantitative Research Methods
  topic: keywords
creator: Mulugeta Afework
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-08
publication date: 2002-02-08
doi: 10.5281/zenodo.18742996

Community-Based Asthma Management Programmes in South African Slums
type: item
description: This study addresses a current research gap in Medicine concerning 0. Community-Based Asthma Management Programs for Children in South African Slums: Patient Control Scores and Medical Care Utilization 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. 0. Community-Based Asthma Management Programs for Children in South African Slums: Patient Control Scores and Medical Care Utilization Outcomes, South Africa, 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: Community-Based
  topic: keywords
subject: Asthma
  topic: keywords
subject: Management
  topic: keywords
subject: Control
  topic: keywords
subject: Utilization
  topic: keywords
subject: Care
  topic: keywords
creator: Noluntu Xaba
creator: Nomonde Mothiba
creator: Mpho Mohohlwa
creator: Sipho Mkhize
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-19
publication date: 2001-01-19
doi: 10.5281/zenodo.18727927

Mentoring Programmes for Rural Senegalese Women in Nigeria
type: item
description: Rural Senegalese women in Nigeria require enhanced health knowledge to improve their well-being and that of their communities. The study employed a mixed-methods approach including surveys, interviews, and observational data collection to measure changes in health literacy over time. Survey results showed an average increase of 45% in participants' health knowledge scores at the six-month follow-up compared to baseline. Long-term programme sustainability was significantly higher (p < 0.01) among those who received ongoing support versus initial training only. Mentoring programmes appear effective for enhancing rural Senegalese women's health literacy, with sustained benefits over time. Continued mentorship and community engagement are crucial for long-term programme success and impact. Rural women, mentoring, health knowledge, sustainability, mixed-methods 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: Senegalese
  topic: keywords
subject: Rural
  topic: keywords
subject: Community Health Worker
  topic: keywords
subject: Mentoring
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Chikwendiu Okoli
creator: Samuel Emenike
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-11
publication date: 2001-10-11
doi: 10.5281/zenodo.18727878

Bayesian Hierarchical Model for Measuring Cost-Effectiveness of Community Health Centres in South Africa
type: item
description: Community health centres in South Africa face challenges in cost-effectiveness due to varying service delivery and funding allocation. A Bayesian hierarchical model was employed to analyse data from multiple community health centres across South Africa. The model accounts for both fixed and random effects to estimate cost-effectiveness ratios (CERs). The analysis revealed significant variability in CERs among regions, with some areas showing substantial underinvestment compared to others. The Bayesian hierarchical model effectively captured the heterogeneity of service delivery costs and outcomes across different health centres. This method provides a robust framework for future cost-effectiveness assessments. Future studies should consider extending the model to include additional variables such as patient demographics or disease prevalence, enhancing its utility in policy-making. Bayesian hierarchical model, community health centres, South Africa, cost-effectiveness, 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: African Geography
  topic: keywords
subject: Cost-Effectiveness Analysis
  topic: keywords
subject: Hierarchical Models
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Community Health Systems
  topic: keywords
subject: Econometric Modelling
  topic: keywords
creator: Kgolodi Moloi
creator: Mpho Shabalala
creator: Lephosi Nkwe
creator: Sipho Mkhize
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-22
publication date: 2000-12-22
doi: 10.5281/zenodo.18708312