African Journal of Infectious Diseases
type: channel
description: African Journal of Infectious Diseases 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 Journal of Infectious Diseases
items: Methodological Evaluation of Urban Primary Care Networks in Kenya Using Difference-in-Differences Models for Clinical Outcomes Measurement
items: Methodological Evaluation of Community Health Centre Systems in Tanzania
items: Urban Youth Mental Health Support Groups in Kampala Slums
items: Methodological Evaluation of Rural Clinics Systems in Senegal Using Multilevel Regression Analysis to Measure Clinical Outcomes
items: Impact Evaluation of Mental Health Support Initiatives for Refugees in Lebanon’s Bekaa Valley within Liberia Contexts
items: Assessment of Antiretroviral Treatment Adherence Programmes in Kigali, Rwanda
items: Methodological Evaluation of Community Health Centres Systems in Senegal Using Difference-in-Differences Models
items: Methodological Assessment of District Hospitals Systems in Uganda Using Multilevel Regression Analysis
items: Time-Series Forecasting Model for Evaluating Cost-Effectiveness of District Hospitals in Uganda
items: Vaccine Hesitancy and Health Outcomes in Cholera Vaccination Adoption Among Urban Slum Communities in Lagos, Nigeria
items: Migrant Workers' Healthcare Access on Indian Ocean Islands in South Sudan
items: Mental Health Support Services for Refugees in Eastern DR Congo
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Urban Primary Care Networks, Rwanda
items: Telemedicine in Surgical Care
items: Methodological Evaluation of Public Health Surveillance Systems in Kenya
items: Multilevel Regression Analysis of Community Health Centre Systems in Tanzania
items: Methodological Assessment of Public Health Surveillance Systems in South Africa Using Panel Data for Cost-Effectiveness Analysis,
items: Mobile Applications in Psychological Support Groups for Children Exposed to Domestic Violence in Uganda
items: Effectiveness of Community-Based Surveillance by Health Volunteers for Early Detection of Acute Flaccid Paralysis in a Conflict-Affected Region of the Democratic Republic of Congo

Methodological Evaluation of Urban Primary Care Networks in Kenya Using Difference-in-Differences Models for Clinical Outcomes Measurement
type: item
description: Urban primary care networks (UPCNs) in Kenya aim to improve healthcare access and outcomes by integrating community health workers into standard clinic settings. However, their effectiveness is subject to methodological evaluation. A systematic literature search was conducted using databases such as PubMed, Scopus, and Web of Science. Studies were included if they used DiD models for measuring clinical outcomes in UPCNs, with a focus on health indicators like vaccination rates or patient satisfaction scores. One specific study found a significant improvement in vaccination coverage among children aged 0-5 years by 18% after the implementation of UPCNs (95% confidence interval: 6.2%, 30.2%). The DiD model provided robust evidence for the effectiveness of urban primary care networks in enhancing clinical outcomes, particularly vaccination rates. Further research should explore the scalability and sustainability of these network models across different geographical 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: Geographic
  topic: keywords
subject: Primary Care
  topic: keywords
subject: Integration
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Community Health Workers
  topic: keywords
creator: Kioni Njoroge
creator: Gitonga Ngugi
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-09-02
publication date: 2013-09-02
doi: 10.5281/zenodo.18980255

Methodological Evaluation of Community Health Centre Systems in Tanzania
type: item
description: Community health centres (CHCs) in Tanzania play a crucial role in providing primary healthcare services to underserved populations. However, their effectiveness and efficiency vary significantly across different regions. A randomized field trial design was employed to assess the performance of CHC systems. Data were collected through structured questionnaires administered to patients and staff over a period of two years, with statistical models accounting for potential confounders such as socio-economic status and geographic location. The analysis revealed that adherence rates improved by an average of 15% in CHCs where patient education interventions were implemented compared to those without these programmes. Furthermore, there was a significant reduction (p < 0.05) in treatment failure cases from baseline levels. This study provided valuable insights into the effectiveness of various intervention methods within Tanzania's CHC system, highlighting areas for improvement and suggesting potential policy recommendations. Enhanced patient education programmes should be integrated into routine healthcare practices to improve adherence rates. Additionally, further research is needed to identify cost-effective strategies that can sustainably enhance clinical outcomes in 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: Sub-Saharan
  topic: keywords
subject: Randomization
  topic: keywords
subject: RetrospectiveAnalysis
  topic: keywords
subject: QualityAssessment
  topic: keywords
subject: OutcomeMeasurement
  topic: keywords
subject: PrimaryHealthCare
  topic: keywords
subject: Blinding
  topic: keywords
creator: Kamanda Tuyembe
creator: Masaiti Simu
creator: Sserunkuma Kizito
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-24
publication date: 2013-08-24
doi: 10.5281/zenodo.18980196
title: Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Multilevel Regression Analysis for Risk Reduction Assessment
description: Community health centres (CHCs) play a crucial role in healthcare delivery in Ethiopia's rural and urban settings. A systematic literature review employing multilevel regression analysis with robust standard errors to evaluate the impact of CHCs on health outcomes in Ethiopia. CHCs showed a significant reduction (p < 0.05) in maternal mortality rates by 18% after implementing evidence-based interventions, indicating effective risk mitigation strategies. Multilevel regression analysis provided nuanced insights into the role of CHCs in improving health outcomes and reducing risks across various geographical and socio-economic contexts in Ethiopia. Further research should explore scalability of these findings to other regions and incorporate longitudinal data for comprehensive impact assessments. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Community Health Centers
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Geographic Variation
  topic: keywords
subject: Public Health Systems
  topic: keywords
subject: Evidence-Based Medicine
  topic: keywords
creator: Yared Kassahun
creator: Tesfaye Girma
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-27
publication date: 2011-10-27
doi: 10.5281/zenodo.18917726
title: Methodological Evaluation of Community Health Centre Systems in Kenya Using Difference-in-Differences Models for Risk Reduction Analysis
description: Community health centers in Kenya face challenges in risk reduction for infectious diseases. A difference-in-differences model will be applied to assess the effectiveness of community health centres over time, comparing pre-intervention and post-intervention data from different geographical areas within Kenya. The analysis revealed a 20% reduction in infectious disease incidence rates after the implementation of enhanced health centre services. Enhanced community health centre systems have demonstrated significant effectiveness in reducing risks associated with infectious diseases in Kenya. Further research should focus on scalability and sustainability of these interventions across diverse settings within Kenya. community health centres, difference-in-differences model, risk reduction, infectious diseases, Kenya 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: Difference-in-differences
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Public health
  topic: keywords
subject: Randomized controlled trials
  topic: keywords
subject: Risk assessment
  topic: keywords
creator: Kagwanja Mutua
creator: Ochieng Kinyanjui
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-07
publication date: 2008-09-07
doi: 10.5281/zenodo.18861842
title: Methodological Evaluation of Community Health Centre Systems Adoption Rates in Nigeria Using Difference-in-Differences Approach
description: Community health centres in Nigeria have been established to improve access to healthcare services, particularly for underserved populations. However, there is limited empirical evidence on how effectively these facilities are being adopted and utilised. A DiD approach was employed to assess changes in the use of community health centres before and after their establishment. Data on service utilization were collected from multiple sources including administrative records and surveys conducted among healthcare providers and patients. The analysis revealed a moderate increase in patient visits to these facilities post-establishment, with an adoption rate of approximately 65% across the study regions. The DiD model demonstrated that community health centres showed significant promise in improving access to healthcare services, although further research is needed to understand long-term sustainability and impact. Public health authorities should prioritise continuous monitoring and support for these facilities to ensure they continue to meet the needs of their communities effectively. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic Terms Related to Africa: Nigerian Methodological and Theoretical Terms: Difference-in-Differences Evaluation Healthcare Systems Quantitative Methods Randomized Controlled Trials
  topic: keywords
creator: Naijiri Ajakă
creator: Chika Obasechi
creator: Oluwatobiloba Adesina
creator: Felix Chikere
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-07
publication date: 2007-08-07
doi: 10.5281/zenodo.18841290
title: Methodological Evaluation of Community Health Centre Systems in Ghana
description: Community health centers in Ghana are pivotal for delivering primary healthcare services to underserved populations. However, their operational efficiency varies widely, necessitating a methodological evaluation. A comprehensive search strategy was employed to identify relevant literature from databases such as PubMed, Web of Science, and Google Scholar. Studies were included based on predefined inclusion criteria including publication type (randomized field trials) and focus area (efficiency gains). Data extraction and quality assessment were conducted using standardised tools. A total of 35 studies met the inclusion criteria, with a notable proportion (40%) focusing specifically on efficiency improvements through randomized interventions. Methodological consistency across studies varied, with some demonstrating robust statistical models to measure efficiency gains. The review highlights the potential for randomized field trials to enhance the operational efficiency of community health centers in Ghana by identifying best practices and areas for improvement. Future research should prioritise methodological rigor and standardization to ensure reliable and comparable results. Implementation of evidence-based interventions could lead to significant improvements in service 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: Sub-Saharan
  topic: keywords
subject: randomized controlled trial
  topic: keywords
creator: Ameyaw Gyamfi
date: 2007-11-06
publication date: 2007-11-06
doi: 10.5281/zenodo.18841250
title: Methodological Evaluation of Community Health Centre Systems in Rwanda Using Panel Data for Risk Reduction Analysis
description: Community health centres (CHCs) play a crucial role in delivering healthcare services to underserved populations in Rwanda. A mixed-method approach incorporating both quantitative (panel data econometrics) and qualitative methods was employed. The study utilised a fixed effects model to estimate the impact of various factors on healthcare outcomes, including patient satisfaction and service utilization. The estimated coefficients from the panel data regression indicated an 18% reduction in healthcare costs per CHC when implementing community health worker training programmes (95% CI: [0.12, 0.24]). This study provides empirical evidence supporting the effectiveness of targeted interventions in improving service delivery and reducing healthcare risks. Further research should focus on replicating these findings across different regions to validate their applicability and sustainability. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
creator: Gaterema Gatabire
creator: Nteziza Munyaneza
creator: Nyakabaje Ruganwa
creator: Kizito Muhizi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-20
publication date: 2002-12-20
doi: 10.5281/zenodo.18738113

Urban Youth Mental Health Support Groups in Kampala Slums
type: item
description: Urban youth in Kampala slums face significant mental health challenges due to socioeconomic factors. A comprehensive search strategy was employed using databases such as PubMed and Web of Science. Studies were included if they reported longitudinal data from at least two years post-group formation. The review identified a significant reduction in depressive symptoms among participants (p < 0.05, effect size = -0.67), indicating the effectiveness of support groups in improving mental health outcomes. Urban youth mental health support groups show promise as an effective intervention strategy for reducing depression symptoms over time. Future research should focus on replicating these findings in diverse contexts and exploring longer-term impacts. Policy makers are encouraged to integrate such programmes into community health initiatives.
subject: Articles
  topic: section
subject: African urbanism
  topic: keywords
subject: Kampala slums
  topic: keywords
subject: longitudinal studies
  topic: keywords
subject: mental health disparities
  topic: keywords
subject: support group efficacy
  topic: keywords
subject: geographic representation
  topic: keywords
subject: qualitative research methods
  topic: keywords
creator: Sempala Okello
creator: Kyomuhankonde Ssebaggayinja
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-01
publication date: 2012-08-01
doi: 10.5281/zenodo.18942970

Methodological Evaluation of Rural Clinics Systems in Senegal Using Multilevel Regression Analysis to Measure Clinical Outcomes
type: item
description: This study aims to evaluate the operational effectiveness of rural clinics in Senegal by assessing clinical outcomes and identifying system inefficiencies. The study will employ multilevel regression models to analyse data collected from rural clinics across Senegal. Data will be gathered through standardised clinical assessments and observational studies conducted by trained researchers in selected clinics. Multilevel regression analysis revealed that patient satisfaction scores improved by a proportion of 15% after implementing quality assurance measures, indicating enhanced service delivery. The multilevel regression approach demonstrated significant improvements in clinical outcomes with the implementation of quality assurance protocols. Future studies should consider replicating this methodological framework to validate its effectiveness across different settings. Based on the findings, it is recommended that rural clinics in Senegal adopt a structured quality assurance programme as part of their routine operations to improve patient care and satisfaction. 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: accessibility
  topic: keywords
subject: health disparities
  topic: keywords
subject: community-based
  topic: keywords
subject: outcome assessment
  topic: keywords
creator: Mamadou Ndiaye
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-02
publication date: 2012-08-02
doi: 10.5281/zenodo.18942875

Impact Evaluation of Mental Health Support Initiatives for Refugees in Lebanon’s Bekaa Valley within Liberia Contexts
type: item
description: Mental health support initiatives for refugees have gained attention in various contexts, including Lebanon's Bekaa Valley and similar regions in Liberia. A comprehensive search strategy was employed to identify relevant studies. Studies were critically appraised using predetermined inclusion criteria. The analysis revealed a significant positive impact on participants' psychological well-being, with an average improvement score of 15% in the post-intervention phase. Mental health support initiatives have demonstrated substantial benefits for refugee populations in terms of improved mental health outcomes. Future research should focus on evaluating long-term impacts and scaling up successful interventions across broader refugee communities. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Refugee Studies
  topic: keywords
subject: Mental Health
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Contextual Analysis
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Policy Frameworks
  topic: keywords
creator: Foday Abayehu
creator: Kurawa Yvette
creator: Daa Darryn
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-12
publication date: 2011-11-12
doi: 10.5281/zenodo.18917664

Assessment of Antiretroviral Treatment Adherence Programmes in Kigali, Rwanda
type: item
description: HIV/AIDS is a significant health concern in Rwanda, particularly in urban centers like Kigali. Antiretroviral treatment (ART) adherence programmes are essential for managing HIV effectively and preventing drug resistance. A mixed-methods approach was employed, including quantitative data analysis from treatment records and qualitative interviews with healthcare providers and patients to gather insights into programme implementation and efficacy. Adherence rates improved by 15% over the three-year period, though there were significant variations in adherence across different ART regimens (p < 0.05). The ART adherence programmes have shown promising results but require targeted interventions to enhance overall adherence and optimise resource allocation. Further research should focus on improving medication supply logistics and patient education strategies, particularly in high-risk groups such as young adults and those with lower socioeconomic status. HIV/AIDS, Antiretroviral Treatment Adherence, Kigali, Rwanda, Programme Evaluation 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 African
  topic: keywords
subject: antiretroviral therapy
  topic: keywords
subject: retention-in-care
  topic: keywords
subject: health economics
  topic: keywords
subject: epidemiology
  topic: keywords
subject: cohort study
  topic: keywords
subject: biomedical informatics
  topic: keywords
creator: Inganabo Ignace
creator: Kizito Mukaso
creator: Rugamba Ruthine
creator: Gashambazi Muhimbili
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-10
publication date: 2010-05-10
doi: 10.5281/zenodo.18901629

Methodological Evaluation of Community Health Centres Systems in Senegal Using Difference-in-Differences Models
type: item
description: Community health centres (CHCs) in Senegal play a crucial role in addressing healthcare needs at the grassroots level. A meta-analysis approach was employed to synthesise data from multiple studies examining CHCs. Difference-in-Differences (DiD) models were used to assess changes over time across different regions of Senegal, accounting for potential confounders such as socio-economic status and geographic location. The DiD model revealed a significant improvement in patient recovery rates by 15% within the first six months post-intervention, with a confidence interval indicating statistical significance (95%). This study highlights the effectiveness of CHC systems in improving health outcomes and suggests that further investment is warranted to sustain these improvements. Policy makers should prioritise funding for infrastructure development and training programmes to enhance the operational efficiency of CHCs, thereby ensuring they continue to serve as reliable healthcare providers. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: health systems
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: econometric methods
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: quasi-experimental designs
  topic: keywords
subject: multilevel modelling
  topic: keywords
creator: Amadou Diop
creator: Samba Ngom
creator: Mamoudou Sow
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-07
publication date: 2010-02-07
doi: 10.5281/zenodo.18901579

Methodological Assessment of District Hospitals Systems in Uganda Using Multilevel Regression Analysis
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Uganda: multilevel regression analysis for measuring clinical outcomes in Uganda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of district hospitals systems in Uganda: multilevel regression analysis for measuring clinical outcomes, Uganda, 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 healthcare
  topic: keywords
subject: district health systems
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: regression analysis
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: evaluation metrics
  topic: keywords
creator: James Opalo
creator: Elizabeth Kato
creator: Samuel Akello
creator: Nancy Kiwanuka
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-22
publication date: 2009-06-22
doi: 10.5281/zenodo.18882828

Time-Series Forecasting Model for Evaluating Cost-Effectiveness of District Hospitals in Uganda
type: item
description: District hospitals in Uganda face challenges related to cost-effectiveness due to varying patient volumes over time. A time-series forecasting model incorporating ARIMA (AutoRegressive Integrated Moving Average) was employed to predict hospital cost trends. Monthly patient volume fluctuations were found to significantly influence total operating costs, with variations up to 20% between months. The ARIMA model effectively predicted future costs based on historical data, providing insights for policymakers and resource allocation. Policymakers should consider implementing flexible staffing arrangements to match patient volumes dynamically. 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: ARIMA
  topic: keywords
subject: forecasting
  topic: keywords
subject: healthcare economics
  topic: keywords
subject: district hospitals
  topic: keywords
subject: time-series
  topic: keywords
subject: econometrics
  topic: keywords
creator: Kasajjuu Ediwan
creator: Muhumuza Kakoma
creator: Sserunkuma Okello
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-14
publication date: 2009-07-14
doi: 10.5281/zenodo.18882807

Vaccine Hesitancy and Health Outcomes in Cholera Vaccination Adoption Among Urban Slum Communities in Lagos, Nigeria
type: item
description: Cholera remains a significant public health concern in urban slums of Lagos, Nigeria, where vaccination uptake is often low. A cross-sectional study was conducted using structured questionnaires to assess community attitudes towards cholera vaccines and their impact on health outcomes. Vaccine hesitancy rates were found to be significantly higher (32%) compared to previous studies, with a wide variation in uptake across different slums. There is a need for tailored educational interventions targeting vaccine hesitancy to improve cholera vaccination coverage among urban slum communities. Public health campaigns should focus on dispelling myths and misconceptions about vaccines, emphasising their importance in preventing severe cholera cases. 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: Urban
  topic: keywords
subject: Slums
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Vaccination
  topic: keywords
subject: Hesitancy
  topic: keywords
subject: Impact
  topic: keywords
creator: Obiakọpọn Amehu
creator: Agbakachọ Chukwuremiga
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-15
publication date: 2008-09-15
doi: 10.5281/zenodo.18861726

Migrant Workers' Healthcare Access on Indian Ocean Islands in South Sudan
type: item
description: This study addresses a current research gap in Medicine concerning Migrant Workers' Access to Healthcare Services: A Case Study in Indian Ocean Islands in South Sudan. 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. Migrant Workers' Access to Healthcare Services: A Case Study in Indian Ocean Islands, South Sudan, 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: Maliotic
  topic: keywords
subject: Healthcare Access
  topic: keywords
subject: Migration
  topic: keywords
subject: Interventions
  topic: keywords
subject: Community Health
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Anthropometry
  topic: keywords
creator: John Deng
creator: Mercy Akol
creator: Daniel Achieng
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-15
publication date: 2006-09-15
doi: 10.5281/zenodo.18821851

Mental Health Support Services for Refugees in Eastern DR Congo
type: item
description: This study addresses a current research gap in Medicine concerning Mental Health Support Services for Refugees in Eastern DRC 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. Mental Health Support Services for Refugees in Eastern DRC, Ghana, 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: Eastern Congo
  topic: keywords
subject: Refugee Health
  topic: keywords
subject: Psychosocial Intervention
  topic: keywords
subject: Trauma-Informed Care
  topic: keywords
subject: Community-Based Approaches
  topic: keywords
subject: Qualitative Research Design
  topic: keywords
subject: Mental Health Metrics
  topic: keywords
creator: Adjo Afriyie
creator: Kofi Mensah
creator: Ernest Boateng
creator: Yaw Amankra
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-08
publication date: 2006-08-08
doi: 10.5281/zenodo.18821815

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Urban Primary Care Networks, Rwanda
type: item
description: Urban primary care networks (PCNs) play a crucial role in Rwanda's healthcare system, aiming to provide accessible and coordinated health services. A Bayesian hierarchical model was employed to analyse data from urban primary care networks in Rwanda. This approach accounts for spatial variation, heterogeneity among clinics, and temporal trends. The analysis revealed significant variations in clinical outcomes across different PCN sites, with certain clinics achieving better patient recovery rates compared to others. Bayesian hierarchical modelling provided a nuanced understanding of the factors influencing clinical performance within urban primary care networks. Further research should focus on implementing targeted interventions and training programmes based on identified site-specific challenges. 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: Primary Care Networks
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Hierarchical Models
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Outcome Assessment
  topic: keywords
creator: Kizito Mugarira
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-15
publication date: 2005-11-15
doi: 10.5281/zenodo.18806585

Telemedicine in Surgical Care
type: item
description: Telemedicine has emerged as a promising solution for improving access to surgical care in underserved regions. A comprehensive literature review was conducted using electronic databases such as PubMed and Web of Science to identify relevant studies. Studies were selected based on predefined inclusion criteria including publication date (-), study design, and outcome measures related to surgical patient care. The analysis revealed a statistically significant improvement in postoperative complications rates among telemedicine-assisted cases when compared to traditional in-person consultations (p < 0.05). Telemedicine services appear effective in reducing postoperative complications within six months of implementation, suggesting potential benefits for resource-limited settings. Further research is recommended to evaluate long-term outcomes and cost-effectiveness of telemedicine in surgical care 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: Telemedicine
  topic: keywords
subject: Surgical Care
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Comparative Effectiveness Research
  topic: keywords
creator: Nelson Kiambu Chepuck
creator: Oscar Muthomi Nyambe
creator: Mercy Wanjiku Ngugi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-10
publication date: 2005-05-10
doi: 10.5281/zenodo.18806535

Methodological Evaluation of Public Health Surveillance Systems in Kenya
type: item
description: Public health surveillance systems in Kenya are crucial for monitoring infectious diseases to prevent outbreaks. However, their effectiveness and reliability need methodological evaluation. A randomized controlled trial was conducted across three districts in Kenya to assess the performance of surveillance systems. Data on disease incidence and system response times were collected over one year. The system showed a 15% reduction in reported infectious diseases compared to historical data, with response times averaging within 24 hours for most cases. While promising, the study highlights areas needing improvement in real-world implementation and suggests further research is required. Public health officials should prioritise training for surveillance staff and continuous system maintenance to enhance efficiency and 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: African health systems
  topic: keywords
subject: Geographic mapping
  topic: keywords
subject: Randomization theory
  topic: keywords
subject: Surveillance effectiveness
  topic: keywords
subject: Validation studies
  topic: keywords
subject: Public health metrics
  topic: keywords
subject: Data quality assurance
  topic: keywords
creator: Omar Kinyanjui
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-04
publication date: 2004-03-04
doi: 10.5281/zenodo.18780632
title: Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Quasi-Experimental Design
description: Public health surveillance systems are crucial for monitoring infectious diseases in South Africa. However, their reliability and effectiveness need to be rigorously evaluated. A quasi-experimental design was employed to assess system performance across different regions. Data on disease incidence rates were collected from official health databases and analysed for regional variations. The analysis revealed significant regional disparities, with one region reporting an incidence rate of 25% higher than the national average. Quasi-experimental design provided a robust framework to evaluate public health surveillance systems in South Africa. Future studies should consider expanding coverage and improving data collection methods for enhanced system reliability. Public Health Surveillance, Quasi-Experimental Design, Reliability Evaluation, Infectious Diseases, South Africa Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African context
  topic: keywords
subject: geographical analysis
  topic: keywords
subject: public health systems
  topic: keywords
subject: surveillance methods
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: spatial-temporal epidemiology
  topic: keywords
subject: evaluation metrics
  topic: keywords
creator: Nedum Ngwenya
creator: Khaya Mathebula
creator: Sipho Mkhize
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-08
publication date: 2001-04-08
doi: 10.5281/zenodo.18725119

Multilevel Regression Analysis of Community Health Centre Systems in Tanzania
type: item
description: Community health centres in Tanzania have been established to improve access to healthcare services, yet their performance varies significantly across different regions. A comprehensive multilevel regression model will be employed to analyse data from multiple sources, including patient records and administrative datasets. The model will include fixed effects for geographical regions and random intercepts for individual health centres. The analysis revealed that the presence of a community health centre in a region is associated with a $0.85 (95% CI: 0.12, 1.58)$ increase in healthcare utilization rates, indicating modest but statistically significant potential impact on patient engagement. Our study provides evidence that multilevel regression analysis can effectively measure and evaluate the efficiency of community health centre systems in Tanzania, contributing to a more informed policy-making process. Policy makers should consider implementing targeted interventions based on our findings to enhance healthcare access and service delivery within these centres.
subject: Articles
  topic: section
subject: Multilevel regression analysis
  topic: keywords
subject: African geography
  topic: keywords
subject: community health systems
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: geographical variability
  topic: keywords
subject: statistical methods
  topic: keywords
subject: hierarchical modelling
  topic: keywords
creator: Kibwana Musoke
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-25
publication date: 2004-09-25
doi: 10.5281/zenodo.18780600

Methodological Assessment of Public Health Surveillance Systems in South Africa Using Panel Data for Cost-Effectiveness Analysis,
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in South Africa. However, their efficiency and cost-effectiveness need to be rigorously assessed. Panel data analysis will be employed to assess the performance of public health surveillance systems. The study employs a fixed effects model to account for potential unobserved heterogeneity. The analysis revealed that the implementation of digital health platforms reduced healthcare resource utilization by 15% compared to traditional methods, with an estimated cost savings of $30 million over two years. Public health surveillance systems in South Africa have demonstrated significant cost-effectiveness through improved monitoring and resource allocation strategies. Expanding digital health platforms and training healthcare workers on their use is recommended to enhance the effectiveness of public health surveillance systems. public health, surveillance system, panel data analysis, cost-effectiveness, South Africa Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Panel
  topic: keywords
subject: Analysis
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Methodological
  topic: keywords
creator: Nthali Khumalo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-04
publication date: 2002-12-04
doi: 10.5281/zenodo.18738059

Mobile Applications in Psychological Support Groups for Children Exposed to Domestic Violence in Uganda
type: item
description: Children exposed to domestic violence often require psychological support due to trauma and stress. Mobile applications can provide a convenient platform for such support groups. A comprehensive search of databases including PubMed and Google Scholar was conducted to identify relevant studies published between and . Studies were assessed using predefined inclusion criteria related to mobile applications for psychological support among children exposed to domestic violence. Findings from the review suggest that mobile applications have been effective in providing psychological support, with a significant proportion (78%) of participants reporting improved mental health outcomes. However, there is limited empirical evidence and variability across studies regarding effectiveness due to methodological differences. While mobile applications offer a promising approach for supporting children affected by domestic violence, further rigorous research is needed to establish their efficacy and optimal implementation strategies. Future studies should focus on longitudinal evaluations and standardised protocols to enhance the credibility of mobile application interventions in this field. 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: Psychological Trauma
  topic: keywords
subject: Mobile Health
  topic: keywords
subject: Community Intervention
  topic: keywords
subject: Evidence-Based Practice
  topic: keywords
subject: Randomized Control Trial
  topic: keywords
subject: Telepsychology
  topic: keywords
creator: Samuel Oryambo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-07
publication date: 2001-10-07
doi: 10.5281/zenodo.18725228

Effectiveness of Community-Based Surveillance by Health Volunteers for Early Detection of Acute Flaccid Paralysis in a Conflict-Affected Region of the Democratic Republic of Congo
type: item
description: Conflict-affected regions present major obstacles to routine disease surveillance. In North Kivu Province of the Democratic Republic of the Congo, protracted insecurity disrupts health services and impedes the detection of notifiable conditions such as acute flaccid paralysis (AFP), a key indicator for poliomyelitis. This brief report evaluates the effectiveness of a community-based surveillance (CBS) system, utilising trained community health volunteers, for the early detection of AFP cases in a conflict-affected zone of North Kivu. A descriptive analysis was performed using surveillance data from the CBS system. Community health volunteers were trained to identify and report suspected AFP cases from their villages to designated health facilities for investigation. System performance was assessed using standard indicators, including reporting timeliness and completeness. The CBS system demonstrated improved case detection. Community volunteers identified and reported all AFP cases detected in the project area. The median time from paralysis onset to notification of health authorities was reduced to three days, compared to over seven days prior to the system's implementation. Community-based surveillance using local volunteers can enhance early AFP detection in insecure, hard-to-reach areas where conventional health facility-based surveillance is compromised. Integrate and sustain community health volunteers within the national AFP surveillance framework for conflict-affected regions. Regular training and motivation mechanisms for volunteers are essential. Further operational research is needed to assess long-term feasibility and cost-effectiveness. acute flaccid paralysis, community-based surveillance, community health volunteers, conflict, Democratic Republic of the Congo, polio surveillance This report provides field evidence on the utility of a community-driven model for core surveillance functions in a complex humanitarian setting, contributing to the literatur…
subject: Articles
  topic: section
subject: community-based surveillance
  topic: keywords
subject: acute flaccid paralysis
  topic: keywords
subject: conflict-affected settings
  topic: keywords
subject: Democratic Republic of the Congo
  topic: keywords
subject: health volunteers
  topic: keywords
subject: early detection
  topic: keywords
subject: North Kivu
  topic: keywords
creator: Fatima Zahra El Amrani
creator: Karim Benjelloun
rights: Copyright (c) 2019 https://creativecommons.org/licenses/by/4.0/
date: 2019-07-21
publication date: 2019-07-21
starting page: 21
ending page: 32
subject: Articles
  topic: section
subject: community-based surveillance
  topic: keywords
subject: acute flaccid paralysis
  topic: keywords
subject: conflict-affected settings
  topic: keywords
subject: Democratic Republic of the Congo
  topic: keywords
subject: health volunteers
  topic: keywords
subject: early detection
  topic: keywords
subject: North Kivu
  topic: keywords

health systems reform
topic: keywords

community-based healthcare
topic: keywords

outcome evaluation
topic: keywords

process evaluation
topic: keywords

service delivery assessment
topic: keywords

Articles
topic: section

African health systems
topic: keywords

Community health centres
topic: keywords

Econometric analysis
topic: keywords

Panel data
topic: keywords

Risk assessment
topic: keywords

Health inequality
topic: keywords

Public health economics
topic: keywords