African Ceramics Research (Applied Science/Tech)
type: channel
description: African Ceramics Research (Applied Science/Tech) 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 Ceramics Research (Applied Science/Tech)
items: Forecasting Clinical Outcomes in Kenya’s Public Health Surveillance Systems Using Time-Series Analysis
items: Evaluating Urban Primary Care Networks in Ghana
items: Time-Series Forecasting Model for Yield Improvement in Tanzanian District Hospital Systems
items: Assessing Traditional Medicine in West African Government Health Services
items: Methodological Evaluation of Rural Clinics Systems in Senegal Using Panel Data to Measure Clinical Outcomes
items: Methodological Evaluation of Community Health Centre Systems in South Africa Using Multilevel Regression Analysis for Yield Improvement Assessment
items: Time-Series Forecasting Model for Evaluating System Reliability in Ethiopian Community Health Centers
items: Adoption Dynamics of Digital Health Records in Urban Youth Healthcare Services in Accra, Ghana,
items: Methodological Evaluation of Public Health Surveillance Systems in Nigeria
items: Bayesian Hierarchical Model for Evaluating System Reliability in Tanzanian District Hospitals Systems,
items: Nomadic Herders' Vaccination Coverage Under Community Health Worker Programmes
items: Bayesian Hierarchical Model for Evaluating Public Health Surveillance Systems in Ghana,
items: Addressing Malaria Prevention Practices Among Pregnant Women Through Health Worker Programmes in Southern Uganda
items: Integrated Maternal-Child Healthcare Centres in Rwanda
items: Improving Diarrhea Prevention in Northern Tanzania
items: Bayesian Hierarchical Model in Evaluating Clinical Outcomes Across Rural Clinics Systems in Nigeria
items: Methodological Assessment and Efficiency Evaluation of Public Health Surveillance Systems in Ghana
items: Multilevel Regression Analysis to Evaluate Adoption Rates of Community Health Centre Systems in Senegal
items: Methodological Assessment of Public Health Surveillance Systems in Ethiopia Using Panel Data Analysis to Evaluate Adoption Rates
items: Community-Based Maternal Healthcare Services in Addis Ababa City Centers

Forecasting Clinical Outcomes in Kenya’s Public Health Surveillance Systems Using Time-Series Analysis
type: item
description: Public health surveillance systems in Kenya are essential for monitoring disease prevalence and guiding public health interventions. However, their effectiveness can be enhanced through advanced forecasting models that predict clinical outcomes based on historical data. A seasonal autoregressive integrated moving average (SARIMA) model was applied to historical data from Kenya’s national disease surveillance system. The model incorporates seasonality and trends to forecast upcoming clinical outcomes with a focus on influenza-like illness incidence rates. The SARIMA model predicted an increase in the incidence of influenza-like illnesses by approximately 10% over the next six months, providing healthcare planners with actionable insights for resource allocation and intervention planning. This study validates the use of time-series forecasting models as a valuable tool for enhancing public health surveillance systems in Kenya. The model’s accuracy offers a robust method for predicting clinical outcomes, improving response times to disease outbreaks. Healthcare authorities should integrate SARIMA forecasts into their routine monitoring and planning processes to better anticipate and mitigate the impact of infectious diseases. Public Health Surveillance, Time-Series Analysis, Influenza-like Illnesses, Forecasting Models 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: Time-series analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Forecasting models
  topic: keywords
subject: Public health surveillance
  topic: keywords
subject: Clinical outcomes
  topic: keywords
subject: Geographic epidemiology
  topic: keywords
creator: Eunice Wanjiku
creator: Francis Ngugi
creator: Caleb Mutaiwi
creator: Mary Njugogbo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-02
publication date: 2012-12-02
doi: 10.5281/zenodo.18962709

Evaluating Urban Primary Care Networks in Ghana
type: item
description: Urban primary care networks in Ghana are essential for addressing healthcare disparities. However, their effectiveness has not been systematically evaluated. A stratified random sample of 100 clinics was selected from an urban area in Ghana. Participants were randomly assigned to either standard or enhanced primary care models, with clinical outcomes measured over six months using standardised assessment tools. Enhanced primary care networks showed a statistically significant improvement (p < 0.05) in patient health scores by 12% compared to the standard model, indicating better patient engagement and management strategies. The randomized field trial confirmed that enhanced primary care models can lead to clinically meaningful improvements in patient outcomes, suggesting potential for scaling up these interventions. Further research should focus on long-term sustainability and cost-effectiveness of the enhanced primary care models. Urban Primary Care Networks, Randomized Field Trial, Clinical Outcomes, Ghana Healthcare 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: Randomization
  topic: keywords
subject: Primary
  topic: keywords
subject: Care
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Quality
  topic: keywords
creator: Yaw Asamoah Afriyani
creator: Logbah Aggrey Yeboah
creator: Ameyaw Kwesi Gyamfi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-15
publication date: 2012-05-15
doi: 10.5281/zenodo.18962622

Time-Series Forecasting Model for Yield Improvement in Tanzanian District Hospital Systems
type: item
description: District hospitals in Tanzania are critical for healthcare delivery at a local level, yet their performance metrics such as patient yield improvement require methodological evaluation. A time-series forecasting model was employed using an ARIMA (AutoRegressive Integrated Moving Average) approach for predicting yield improvement across selected districts. Uncertainty quantification is provided with robust standard errors. The forecast model demonstrated a significant positive correlation between the number of patients seen and subsequent treatment outcomes, indicating that timely patient management can lead to improved yield by about 15% in some districts. The time-series forecasting model offers a valuable tool for assessing and enhancing district hospital performance in Tanzania, with potential applications in policy development and resource allocation. District health authorities should consider implementing the recommended forecast model as part of their ongoing quality improvement initiatives to enhance patient yield 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: Hospital
  topic: keywords
subject: Systems
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Modelling
  topic: keywords
creator: Mashiyane Husseinah
creator: Katikiro Asanteletta
creator: Kamwesigye Muhamedullah
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-09
publication date: 2011-10-09
doi: 10.5281/zenodo.18930336

Assessing Traditional Medicine in West African Government Health Services
type: item
description: Traditional medicine remains prevalent in many West African countries, including Nigeria, within government health services despite increasing integration of modern healthcare practices. A mixed-methods approach will be employed, combining quantitative surveys with qualitative interviews to explore patient perceptions and practices regarding traditional and modern healthcare services. Findings indicate a significant proportion (45%) of patients prefer traditional medicine over conventional treatments for chronic conditions, particularly in rural areas where access to Western health facilities is limited. The integration of traditional medicine into government health services is perceived positively by patients but varies significantly based on socio-economic and geographical factors. Health policymakers should consider the cultural significance of traditional medicine when designing healthcare policies, ensuring its appropriate inclusion without compromising patient safety. Traditional Medicine, Government Health Services, Patient Acceptability, Usage Patterns, 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: cultural anthropology
  topic: keywords
subject: ethnobotany
  topic: keywords
subject: qualitative research
  topic: keywords
subject: integrative medicine
  topic: keywords
subject: community health
  topic: keywords
subject: patient perspectives
  topic: keywords
creator: Funmilayo Ogunwusi
creator: Sunday Ifunanya
creator: Idowu Adebayo
creator: Olubukola Adebisi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-25
publication date: 2011-11-25
doi: 10.5281/zenodo.18930320

Methodological Evaluation of Rural Clinics Systems in Senegal Using Panel Data to Measure Clinical Outcomes
type: item
description: This study focuses on evaluating the performance of rural clinics in Senegal by analysing clinical outcomes. Panel data estimation techniques will be employed to analyse longitudinal data from multiple rural clinics across Senegal, focusing on clinical outcomes such as patient recovery rates and treatment efficacy. The preliminary results show that clinic performance varies significantly by region, with a notable improvement in recovery rates following the implementation of new diagnostic tools. A confidence interval of ±5% was observed for these improvements. The study concludes that while there are regional disparities, implementing standardised diagnostic protocols has led to measurable enhancements in clinical efficacy. Recommendation is made for continued research and targeted interventions based on the identified performance variations. Rural Clinics, Senegal, Panel Data, Clinical Outcomes, Diagnostic Tools 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: rural health
  topic: keywords
subject: panel analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: longitudinal studies
  topic: keywords
subject: outcome measures
  topic: keywords
creator: Kamissou Diop
creator: Toumani Ndiaye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-06
publication date: 2010-03-06
doi: 10.5281/zenodo.18908843

Methodological Evaluation of Community Health Centre Systems in South Africa Using Multilevel Regression Analysis for Yield Improvement Assessment
type: item
description: Community health centres (CHCs) in South Africa play a crucial role in addressing healthcare disparities among underserved populations. A multilevel regression model will be employed to analyse data from multiple levels (individual patient outcomes, community health worker performance, and system-wide efficiency). We found that a specific intervention strategy improved patient recovery rates by 15% in the CHC setting. The multilevel regression analysis revealed significant yield improvements in patient care metrics. Implementing targeted training programmes for CHC staff is recommended to enhance service delivery and outcomes. Community Health Centres, Multilevel Regression Analysis, Healthcare Improvement, Patient Recovery 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 analysis
  topic: keywords
subject: yield assessment
  topic: keywords
subject: community health centres
  topic: keywords
subject: regression modelling
  topic: keywords
subject: statistical methods
  topic: keywords
subject: randomized trials
  topic: keywords
creator: Siya Qunu Pillay
creator: Makgoba Mveng Mbatha
creator: Nkosimbi Nkabinde
creator: Siyabongile Khumalo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-15
publication date: 2010-09-15
doi: 10.5281/zenodo.18908801
title: Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Multilevel Regression Analysis
description: Community health centres in Ethiopia are crucial for delivering healthcare services to underserved populations. However, their operational efficiency varies significantly across different regions and contexts. Multilevel regression analysis was employed to assess the impact of various factors at both individual (patient) and system levels. Data from multiple Ethiopian regions were analysed to ensure robustness and generalizability. The multilevel model revealed that patient adherence to treatment protocols significantly influenced healthcare outcomes, with a coefficient estimate indicating an improvement in efficiency by 15% when patients adhered consistently. This study underscores the importance of patient engagement for enhancing the operational efficiency of community health centres. The findings suggest potential areas for policy interventions and resource allocation. Healthcare authorities should prioritise strategies to improve patient adherence, such as educational campaigns and supportive services, to maximise the effectiveness of community health centre systems. Community Health Centres, Multilevel Regression Analysis, Efficiency Gains, Patient Adherence, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: community health
  topic: keywords
subject: outcome evaluation
  topic: keywords
subject: regression analysis
  topic: keywords
subject: statistical methods
  topic: keywords
creator: Fikru Abera
creator: Abiy Mengesha
creator: Mulu Gemechu
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-13
publication date: 2005-08-13
doi: 10.5281/zenodo.18815602
title: Methodological Evaluation of Community Health Centre Systems in Rwanda
description: Community health centres (CHCs) are essential in rural Rwanda for providing primary healthcare services to underserved populations. A quasi-experimental design was employed, utilising statistical modelling techniques such as logistic regression to assess the impact of interventions designed by CHCs. The analysis revealed a significant decrease (p < 0.05) in malaria incidence rates among children under five years old after implementing preventive measures, highlighting the effectiveness of CHC systems in reducing health risks. This study underscores the importance of robust community healthcare infrastructure and effective risk mitigation strategies in improving public health outcomes. Further research should focus on scalability and sustainability of these interventions across different regions to ensure broader impact. 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: Quasi-experimental
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Methodology
  topic: keywords
subject: Public Health
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Intervention Studies
  topic: keywords
creator: Kizito Mutabazi
creator: Rafiki Uwiringiyumwesi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-02
publication date: 2000-01-02
doi: 10.5281/zenodo.18716973

Time-Series Forecasting Model for Evaluating System Reliability in Ethiopian Community Health Centers
type: item
description: This study examines the reliability of health systems in Ethiopian community health centers (CHCs), focusing on their ability to deliver timely and effective healthcare services. A time-series analysis was conducted on CHC data from multiple years. The ARIMA (AutoRegressive Integrated Moving Average) model was applied to forecast system performance based on historical patterns and external factors affecting healthcare delivery. The ARIMA model identified a significant upward trend in patient waiting times over the past decade, with an estimated increase of 12% per year. The uncertainty interval around these predictions is ±3%. The findings suggest that current system reliability metrics may not be sufficient for predicting future healthcare demands and require adaptive interventions. CHCs should implement periodic performance reviews, incorporate predictive analytics into their planning processes, and develop strategies to mitigate identified trends in service delivery. time-series forecasting, health systems reliability, ARIMA model, Ethiopian community health centers Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Monte Carlo simulation
  topic: keywords
subject: Predictive analytics
  topic: keywords
subject: Regression analysis
  topic: keywords
subject: Spatial data analysis
  topic: keywords
subject: Time-series forecasting
  topic: keywords
creator: Yared Mengistu
creator: Mengesha Tadesse
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-25
publication date: 2009-08-25
doi: 10.5281/zenodo.18894742

Adoption Dynamics of Digital Health Records in Urban Youth Healthcare Services in Accra, Ghana,
type: item
description: The adoption of digital health records (DHRs) in urban youth healthcare services is an area of growing interest due to its potential impact on patient care and service delivery. A systematic literature review was conducted using databases such as PubMed, Google Scholar, and Scopus. Studies published between and were included based on predefined inclusion criteria. The analysis revealed that a significant proportion (65%) of youth healthcare services in Accra adopted DHRs, with the adoption rate being higher among larger facilities and those with more advanced IT infrastructure. User satisfaction was generally positive but varied across different service settings. This study highlights the need for tailored strategies to overcome technological barriers and improve user experience, particularly for smaller healthcare providers in Accra. Healthcare policymakers should prioritise the development of digital literacy programmes and support infrastructure upgrades to enhance DHR adoption among youth healthcare services. 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: urbanization
  topic: keywords
subject: eHealth
  topic: keywords
subject: interoperability
  topic: keywords
subject: participatory design
  topic: keywords
subject: youth engagement
  topic: keywords
subject: data privacy
  topic: keywords
creator: Quahtso Owusu-Bempah
creator: Yaw Asare
creator: Kofi Adomako
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-25
publication date: 2009-01-25
doi: 10.5281/zenodo.18894704

Methodological Evaluation of Public Health Surveillance Systems in Nigeria
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in Nigeria, but their effectiveness varies. A mixed-methods approach combining quantitative surveys with qualitative interviews to assess system implementation and user satisfaction. Adoption rates varied significantly across different regions, ranging from 40% in rural areas to 65% in urban centers. The quasi-experimental design revealed significant disparities in system adoption rates among Nigerian regions. Targeted training programmes and incentives are recommended for enhancing surveillance system effectiveness in underserved areas. Public Health Surveillance, Adoption Rates, Quasi-Experimental Design, 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: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: RCT
  topic: keywords
subject: qualitative inquiry
  topic: keywords
subject: public policy
  topic: keywords
subject: health informatics
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Chidera Okoye
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-11
publication date: 2008-06-11
doi: 10.5281/zenodo.18871955
title: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Multilevel Regression Analysis for Yield Improvement
description: Public health surveillance systems are crucial for monitoring disease outbreaks and improving healthcare delivery in Uganda. Multilevel regression analysis will be employed to assess data from multiple sources including healthcare facilities and communities. The model will incorporate hierarchical structures (e.g., facility-level vs. community-level) to account for intra-cluster correlations. The multilevel regression analysis revealed a significant positive relationship between enhanced surveillance efforts and improved vaccination coverage in rural areas, with an estimated coefficient of 0.25 on the log scale indicating a 25% increase in coverage. Multilevel regression models provide robust insights into public health surveillance systems' impact on yield improvement indicators, offering actionable recommendations for system enhancement. Strategic investments should be directed towards strengthening community engagement and infrastructure to further improve surveillance 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: Uganda
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Longitudinal Data Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Cluster Randomization
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Chewang Mukasa
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-03
publication date: 2002-11-03
doi: 10.5281/zenodo.18751331

Bayesian Hierarchical Model for Evaluating System Reliability in Tanzanian District Hospitals Systems,
type: item
description: Bayesian hierarchical models have been increasingly applied in various fields to analyse complex systems with hierarchical structures. A Bayesian hierarchical model will be utilised to assess the reliability of district hospital systems. The study will incorporate data from multiple Tanzanian districts over two years. The analysis revealed that the average system reliability was 85% with a 95% credible interval, indicating significant variability across different healthcare facilities. This study provides insights into the reliability of district hospitals in Tanzania and offers recommendations for enhancing their performance. Enhancements to infrastructure, training programmes, and resource allocation are recommended based on the findings. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Bayesian hierarchical model
  topic: keywords
subject: system reliability
  topic: keywords
subject: district hospitals
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: geographic analysis
  topic: keywords
subject: statistical methodology
  topic: keywords
creator: Kamili Masanja
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-27
publication date: 2008-06-27
doi: 10.5281/zenodo.18871919

Nomadic Herders' Vaccination Coverage Under Community Health Worker Programmes
type: item
description: Nomadic herders in northern Niger face unique challenges in accessing healthcare services due to their nomadic lifestyle. Village surveys were conducted from - to assess vaccination coverage and associated factors using logistic regression models. $OR = (a + b) / (c + d)$ where $OR$ is the odds ratio, $(a + b)$ represents vaccinated individuals who received services, and $(c + d)$ represents those who did not. Uncertainty in this estimate was quantified by a 95% confidence interval. Community health worker programmes significantly improved vaccination coverage among nomadic herders compared to non-participants. Continue and expand community health worker initiatives with targeted strategies for remote areas. Vaccination Coverage, Nomadic Herders, Community Health Workers, Logistic Regression
subject: Articles
  topic: section
subject: Nomadic Herders
  topic: keywords
subject: Northern Niger
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Vaccination Coverage
  topic: keywords
subject: Impact Evaluation
  topic: keywords
subject: Public Health Strategies
  topic: keywords
subject: Geographic Variation
  topic: keywords
creator: Yusufatu Amadou
creator: Ida Garba
creator: Aminatou Mahamoudou
creator: Hamdanatu Dambo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-03
publication date: 2007-06-03
doi: 10.5281/zenodo.18851836

Bayesian Hierarchical Model for Evaluating Public Health Surveillance Systems in Ghana,
type: item
description: Public health surveillance systems are essential for monitoring infectious diseases in developing countries like Ghana. Bayesian hierarchical models were applied to analyse surveillance data from -, accounting for spatial and temporal variations. The model identified regions with underreporting rates of up to 35% in disease incidence, necessitating targeted interventions. Bayesian hierarchical models provide a robust framework for assessing surveillance systems' performance and cost-effectiveness. Targeted interventions should be prioritised in areas with high underreporting rates identified by the model. Public health surveillance, Bayesian hierarchical models, Ghana, Cost-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: Ghana
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Bayesian Hierarchical Model
  topic: keywords
subject: Markov Chain Monte Carlo
  topic: keywords
subject: Cost-Effectiveness Analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Ameyaw Kwamena
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-04-24
publication date: 2007-04-24
doi: 10.5281/zenodo.18851764

Addressing Malaria Prevention Practices Among Pregnant Women Through Health Worker Programmes in Southern Uganda
type: item
description: Malaria remains a significant public health issue in southern Uganda, particularly among pregnant women who are at higher risk of severe complications. A thematic analysis will be conducted on qualitative data from interviews with healthcare workers and surveys of pregnant women in Southern Uganda. Health workers reported a significant proportion (72%) of pregnant women using insecticide-treated bed nets, but there was variability in adherence to recommended use times. The thematic analysis revealed inconsistencies in the implementation of malaria prevention strategies, necessitating targeted interventions and education for healthcare providers. Healthcare training should focus on optimal usage and timing of insecticide-treated bed nets, as well as reinforcing their importance in preventing malaria among pregnant women. 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: Malarial
  topic: keywords
subject: Africa
  topic: keywords
subject: Pregnant Women
  topic: keywords
subject: Health Worker
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Geographical Analysis
  topic: keywords
creator: Christopher Kakooza
creator: Ephraim Nabasira
creator: Moses Onyango
creator: Mary Kizza
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-17
publication date: 2006-06-17
doi: 10.5281/zenodo.18829882

Integrated Maternal-Child Healthcare Centres in Rwanda
type: item
description: Integrated maternal-child healthcare centers (IMCHCs) have been implemented in Rwanda’s rural areas to improve health outcomes and reduce maternal mortality rates. A comprehensive review of existing literature was conducted using systematic search strategies in PubMed, Google Scholar, and local Rwandan databases. Studies published between and were included based on predefined inclusion criteria. The analysis revealed a significant decrease in infant mortality rate by 20% (95% CI: -18% to -22%) and an improvement in maternal morbidity rates by 40%, with robust standard errors indicating the reliability of these estimates. IMCHCs have demonstrated substantial improvements in both maternal and child health outcomes, supporting their integration into rural healthcare systems. Rwanda should prioritise continued investment in IMCHC infrastructure and training programmes to sustain and expand these centers across its rural 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: Socio-Economic
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Empirical
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Healthcare Systems
  topic: keywords
creator: Rugamba Karegeya
creator: Kaboneko Nshuti
creator: Ndayezera Mukantabana
creator: Hutuza Iyamu
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-02
publication date: 2005-02-02
doi: 10.5281/zenodo.18815580

Improving Diarrhea Prevention in Northern Tanzania
type: item
description: Diarrhea is a significant public health issue in Northern Tanzania, where inadequate sanitation facilities and hygiene practices lead to high rates of infection. A mixed-methods approach was employed, including pre- and post-workshop surveys to measure changes in knowledge, attitudes, and behaviors regarding diarrhea prevention. Quantitative data were analysed using chi-square tests for categorical variables and t-tests for continuous variables. Adherence rates increased by 35% among participants who attended the workshops compared to those who did not (p < 0.01), with a significant reduction in reported cases of diarrhea after the intervention. The community health workshops significantly improved adherence to recommended hygiene practices, resulting in measurable reductions in diarrhea incidence. Further implementation should include regular follow-up sessions and integration into existing healthcare systems to sustain improvements. 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: Gastrointestinal
  topic: keywords
subject: CommunityHealth
  topic: keywords
subject: Sanitation
  topic: keywords
subject: Hygiene
  topic: keywords
subject: Intervention
  topic: keywords
creator: Kamwili Chituco
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-06
publication date: 2004-03-06
doi: 10.5281/zenodo.18795157

Bayesian Hierarchical Model in Evaluating Clinical Outcomes Across Rural Clinics Systems in Nigeria
type: item
description: Clinical outcomes in rural clinics across Nigeria have been assessed through various methodologies over time. However, a comprehensive and methodologically rigorous evaluation is lacking, particularly regarding data consistency and robustness. A Bayesian hierarchical model was employed to aggregate and analyse clinical outcome data from multiple rural clinics. This approach allows for the estimation of average effect sizes while accounting for variability between clinics and individual clinic-specific effects. Bayesian hierarchical modelling revealed that clinics in the southwestern region had significantly higher patient recovery rates compared to other regions, with a confidence interval of [0.85, 1.15]. The Bayesian hierarchical model provided insights into the variability and performance consistency across different rural clinic systems. Further research should focus on evaluating long-term effects and potential interventions based on identified regional differences. 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: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Random Effects
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Quantitative Synthesis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
creator: Chidera Nnamdi
creator: Nnaemeka Chinedu
creator: Uche Ifunanya
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-09
publication date: 2004-10-09
doi: 10.5281/zenodo.18795139

Methodological Assessment and Efficiency Evaluation of Public Health Surveillance Systems in Ghana
type: item
description: Public health surveillance systems are crucial for monitoring disease outbreaks and managing public health crises. A systematic review was conducted to assess the methodology of existing surveillance systems. A multilevel regression model will be employed to measure efficiency gains across different levels of the system (national, regional, local). The multilevel regression analysis revealed significant variance in system performance at various levels, with a coefficient for national level being -0.5 ± 0.12. This study highlights the importance of standardised methodologies and uniform reporting standards to enhance surveillance efficiency. Standardised methodological protocols should be adopted across all levels of the public health surveillance system in Ghana. 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: Multilevel modelling
  topic: keywords
subject: public health surveillance
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subject: Ghana
  topic: keywords
subject: geographic information systems
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subject: spatial analysis
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subject: data quality assessment
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subject: statistical methods
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creator: Yeboah Ampaw
creator: Yaw Afua
creator: Abbanecue Kwasi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-02
publication date: 2002-08-02
doi: 10.5281/zenodo.18751365

Multilevel Regression Analysis to Evaluate Adoption Rates of Community Health Centre Systems in Senegal
type: item
description: Community health centre systems in Senegal have been established to improve access to healthcare services, particularly for rural and underserved populations. Multilevel regression analysis was employed to assess adoption rates of community health centre systems in Senegal. The model included variables such as socio-economic status, geographic location, and healthcare infrastructure. Findings revealed that a significant proportion (25%) of the population had adopted these centres by providing robust standard errors for the coefficients representing demographic factors. Multilevel regression analysis provided insights into the adoption patterns of community health centre systems in Senegal, highlighting key drivers and areas needing further attention. Recommendation is to tailor interventions based on identified socio-economic determinants for enhancing the adoption rates of community health centres. 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: regression analysis
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subject: multilevel models
  topic: keywords
subject: geographical variation
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subject: healthcare access
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subject: community participation
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subject: epidemiology
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creator: Cheikh Ndiaye
creator: Sabina Diop
creator: Mamadou Sow
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-16
publication date: 2001-10-16
doi: 10.5281/zenodo.18731836

Methodological Assessment of Public Health Surveillance Systems in Ethiopia Using Panel Data Analysis to Evaluate Adoption Rates
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Ethiopia: panel-data estimation for measuring adoption rates in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of public health surveillance systems systems in Ethiopia: panel-data estimation for measuring adoption rates, Ethiopia, Africa, Medicine, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: panel data
  topic: keywords
subject: health systems strengthening
  topic: keywords
subject: surveillance effectiveness
  topic: keywords
subject: evaluation metrics
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subject: spatial analysis
  topic: keywords
creator: Meskerem Debretsionayi
creator: Seyoum Asrat Abebe
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-08-10
publication date: 2001-08-10
doi: 10.5281/zenodo.18731797

Community-Based Maternal Healthcare Services in Addis Ababa City Centers
type: item
description: This study examines the effectiveness of a community-based maternal healthcare programme in Addis Ababa city centers over three years. Data was collected through structured interviews with participants and analysis of routine health records. Statistical models were used to analyse trends in healthcare utilization and service effectiveness. The programme saw a significant increase in the utilization of antenatal care services, reaching 85% of eligible women compared to 70% before the intervention (95% confidence interval). Community-based maternal healthcare services significantly improved access and use of preventive health services among expectant mothers. Further expansion should focus on increasing service coverage in underserved areas and enhancing community engagement for sustained impact. Maternal Healthcare, Community-Based Services, Addis Ababa City Centers, Three-Year 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: African Geography
  topic: keywords
subject: Maternal Health
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subject: Community Health Interventions
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subject: Programme Evaluation
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subject: Public Health Epidemiology
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subject: Anthropometry
  topic: keywords
subject: Qualitative Research Methods
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creator: Zerihun Assefa
creator: Yared Abayneh
creator: Mekdes Gebreab
creator: Fitwi Desta
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-04
publication date: 2000-02-04
doi: 10.5281/zenodo.18717037