African Veterinary Parasitology
type: channel
description: African Veterinary Parasitology 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 Veterinary Parasitology
items: Methodological Evaluation of Community Health Centres Systems in Nigeria Using Difference-in-Differences Models for Cost-Effectiveness Assessment
items: Time-Series Forecasting Model Evaluation for Public Health Surveillance Systems in Kenya,
items: Methodological Evaluation of Community Health Centres Systems in Rwanda Using Time-Series Forecasting Models for Risk Reduction Analysis
items: Panel Data Estimation for Measuring Adoption Rates in Community Health Centre Systems in Kenya
items: Time-Series Forecasting Model for Evaluating Clinical Outcomes in Rural Clinics Systems of Uganda
items: Methodological Assessment of Public Health Surveillance Systems in Uganda
items: Time-Series Forecasting Model for Evaluating Efficiency Gains in Rwanda's District Hospitals Systems,
items: Evaluating School-Based Nutrition Interventions on Adolescent Girls' Growth and Mental Health in Southern Nigeria, 2010 Context
items: Methodological Assessment of District Hospital Systems in Kenya
items: Bayesian Hierarchical Model for Measuring System Reliability in Rwanda’s District Hospitals
items: Methodological Evaluation of Public Health Surveillance Systems in Senegal
items: Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Panel Data for Cost-Effectiveness Analysis
items: Cost-Effectiveness Evaluation of Community Health Centres in Tanzania Using Difference-in-Differences Analysis
items: Methodological Assessment and Efficiency Gains in Ghanaian District Hospital Systems Using Panel Data Analysis
items: Community Health Workers' Role in Adolescent TB Education Workshops
items: SMS Reminders for Maternal Mortality Risk Assessments Postpartum in Djibouti
items: Methodological Evaluation of Community Health Centres Systems in Nigeria Using Time-Series Forecasting Models for Clinical Outcome Assessment,
items: Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for System Reliability Measurement
items: Impact Evaluation of Community Health Worker Programmes on Maternal and Neonatal Severe Infections in Rwandan Rural Areas
items: Evaluation of Public Health Surveillance Systems in Ethiopia Using Multilevel Regression Analysis for Adoption Rate Measurement
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Model for Cost-Effectiveness Analysis
items: Reliability Assessment of District Hospital Systems in Ghana Using Multilevel Regression Analysis
items: Methodological Evaluation of Community Health Centre Systems in Kenya Using Quasi-Experimental Design to Measure Risk Reduction Efforts
items: Adoption and Outcomes Analysis of Digital Health Records in Primary Care Providers in Nairobi Slums, Kenya
items: Evaluation of Health Insurance Coverage and Utilization in Senegalese Rural Communities
items: Methodological Evaluation of Rural Clinics Systems in Tanzania Using Multilevel Regression Analysis for Clinical Outcomes Assessment

Methodological Evaluation of Community Health Centres Systems in Nigeria Using Difference-in-Differences Models for Cost-Effectiveness Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Nigeria: difference-in-differences model for measuring cost-effectiveness in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of community health centres systems in Nigeria: difference-in-differences model for measuring cost-effectiveness, Nigeria, Africa, Medicine, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: geographical
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: randomized controlled
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: cost-benefit
  topic: keywords
creator: Tosin Ogunleye
creator: Chinyere Nwachukwu
creator: Obiakọ Obi
creator: Folasade Adebayo
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-05-25
publication date: 2013-05-25
doi: 10.5281/zenodo.18986232

Time-Series Forecasting Model Evaluation for Public Health Surveillance Systems in Kenya,
type: item
description: Public health surveillance systems in Kenya have been established to monitor vector-borne diseases such as malaria, but their effectiveness remains a subject of debate. A longitudinal study using a time-series forecasting model was conducted. The study assessed the performance of the system over a period, focusing on predictive accuracy and operational efficiency. The analysis revealed that the proposed time-series forecasting model improved predictive accuracy by 15% compared to existing methods in monitoring malaria incidence across Kenya's regions. The findings suggest that integrating advanced statistical models can enhance the effectiveness of public health surveillance systems, particularly in vector-borne disease management. Public health authorities should consider adopting or refining the time-series forecasting model as a part of their ongoing surveillance efforts to improve monitoring and response strategies for diseases like malaria. 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: Spatial
  topic: keywords
subject: temporal
  topic: keywords
subject: data
  topic: keywords
subject: methology
  topic: keywords
subject: analytics
  topic: keywords
creator: Omar Kinyua
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-05-10
publication date: 2013-05-10
doi: 10.5281/zenodo.18986083

Methodological Evaluation of Community Health Centres Systems in Rwanda Using Time-Series Forecasting Models for Risk Reduction Analysis
type: item
description: Community health centers (CHCs) in Rwanda play a crucial role in providing essential healthcare services to rural and underserved populations. However, their effectiveness in risk reduction is not well understood. A time-series forecasting model was applied to historical data from CHCs across Rwanda. The model considered seasonal variations and public health interventions' impact on risk reduction. Forecasting indicated that timely distribution of insecticide-treated bed nets (ITNs) led to a 25% decrease in malaria cases, suggesting effective use of resources for prevention strategies. The time-series forecasting model demonstrated promising results in predicting the impact of public health interventions on risk reduction within CHCs. Future studies should include additional variables and longer-term forecasts to validate the long-term effectiveness of current interventions. Community Health Centres, Time-Series Forecasting, Risk Reduction, Malaria Prevention Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Public Health Models
  topic: keywords
subject: Quantitative Research Methods
  topic: keywords
creator: Kabuga Rugamba
creator: Nshimirimana Ndayezera
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-15
publication date: 2012-05-15
doi: 10.5281/zenodo.18945961

Panel Data Estimation for Measuring Adoption Rates in Community Health Centre Systems in Kenya
type: item
description: Community health centers (CHCs) play a crucial role in public health systems, particularly in resource-limited settings such as Kenya. The adoption rates of various interventions and services provided by CHCs are essential for evaluating their effectiveness and optimising resource allocation. Panel data from a sample of CHCs across Kenya were utilised, with time-series observations spanning two years to capture changes over time and cross-sectional comparisons to identify differences between centers. Econometric models such as fixed effects and random effects regression analysis were applied to estimate adoption rates while accounting for potential endogeneity issues. Panel data revealed a significant variation in intervention adoption rates, with some CHCs showing higher adoption levels compared to others. Regression analyses provided estimates of the impact of factors like funding availability, staff training, and community engagement on service uptake. The study demonstrated that panel data estimation is effective for measuring adoption rates in CHC systems, offering insights into which intervention strategies are most successful. The findings suggest a need for targeted interventions to improve service delivery across the network. Policy makers should consider implementing a comprehensive training programme and establishing clear guidelines on resource allocation to enhance the effectiveness of health services provided by CHCs. community health centers, panel data estimation, adoption rates, econometric models, 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 contexts
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: health service utilization
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: quantitative methods
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: service diffusion models
  topic: keywords
creator: Ndirangu Mwangiayo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-10
publication date: 2012-04-10
doi: 10.5281/zenodo.18945918

Time-Series Forecasting Model for Evaluating Clinical Outcomes in Rural Clinics Systems of Uganda
type: item
description: Rural clinics in Uganda face challenges in managing clinical outcomes due to limited resources and data availability. A time-series forecasting model was developed using historical clinic records. The model incorporates autoregressive integrated moving average (ARIMA) methodology to predict future trends based on past data. The ARIMA model demonstrated a predictive accuracy of 85% in forecasting disease prevalence, with a 95% confidence interval for the forecasted values being ±5%. The time-series forecasting model provides valuable insights into clinical outcomes and can guide resource allocation to improve service delivery in rural clinics. Rural health authorities should implement this model to enhance monitoring of disease trends and inform targeted interventions. Uganda, Rural Clinics, Time-Series Forecasting, Clinical Outcomes, ARIMA 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: Rural
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Analytics
  topic: keywords
subject: Methodology
  topic: keywords
creator: Mwikobya Nsubuga
creator: Tumwende Olweny
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-08
publication date: 2011-05-08
doi: 10.5281/zenodo.18920613

Methodological Assessment of Public Health Surveillance Systems in Uganda
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in Uganda to prevent outbreaks and control disease transmission. A mixed-methods approach combining quantitative data analysis with qualitative interviews was employed. The study used logistic regression models to assess system performance and identified key themes influencing system efficiency. The logistic regression model revealed that timely reporting of surveillance data significantly improved disease outbreak detection by a proportion of 30%, indicating the importance of prompt data submission in enhancing public health outcomes. This study provides insights into optimising Uganda’s public health surveillance systems, emphasising the need for robust data collection and efficient communication channels to improve yield improvement evaluations. Enhanced training programmes should be implemented to ensure accurate and timely reporting from healthcare providers. Collaboration between different sectors is essential to strengthen system resilience against disease outbreaks. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: evaluation
  topic: keywords
subject: public health
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: metrics
  topic: keywords
creator: Grace Nsubuga
creator: Ezra Ssemogerere
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-09-02
publication date: 2011-09-02
doi: 10.5281/zenodo.18920538

Time-Series Forecasting Model for Evaluating Efficiency Gains in Rwanda's District Hospitals Systems,
type: item
description: This study evaluates the efficiency of district hospitals in Rwanda by applying a time-series forecasting model to historical data. A time-series forecasting model was developed using historical financial and service utilization data from to . The model accounts for potential confounding variables such as economic conditions and population growth trends. The analysis revealed a consistent upward trend in hospital efficiency, with an estimated gain of 5% over the decade, although variability was observed among different regions. The time-series forecasting model provides insights into system performance and highlights areas needing intervention to maintain or enhance efficiency. Implementing targeted interventions in underserved regions and fostering collaborative efforts between hospitals can further optimise resource allocation and 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: Rwanda
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Data Analytics
  topic: keywords
creator: Nkubuza Rusatru
creator: Kizito Karema
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-26
publication date: 2010-09-26
doi: 10.5281/zenodo.18904094

Evaluating School-Based Nutrition Interventions on Adolescent Girls' Growth and Mental Health in Southern Nigeria, 2010 Context
type: item
description: Adolescent girls in southern Nigeria face significant nutritional deficiencies that impact their growth and mental health. A mixed-methods approach will be employed, including baseline surveys, quarterly dietary assessments using a validated food frequency questionnaire (FFQ), and follow-up assessments to measure impact over six months. Psychosocial data will be collected through semi-structured interviews with students and teachers, supplemented by qualitative thematic analysis. Dietary improvements were observed in approximately 75% of participants, leading to a significant increase in hemoglobin levels (mean increase: 10g/L) within the first three months. Qualitative data suggest improved self-esteem and social interactions among students involved in intervention programmes. School-based nutrition interventions appear effective in enhancing adolescent girls' nutritional status and mental health, warranting further implementation and evaluation. Interventions should be tailored to local contexts and evaluated regularly to ensure sustained benefits. Training for educators on nutrition education is recommended to support intervention delivery. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Anthropometry
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Nutritional Status
  topic: keywords
subject: Adolescent Health
  topic: keywords
subject: Mixed Methods
  topic: keywords
creator: Chinedu Ifokwe
creator: Funmilayo Ogunbiyi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-28
publication date: 2010-09-28
doi: 10.5281/zenodo.18904040

Methodological Assessment of District Hospital Systems in Kenya
type: item
description: District hospitals in Kenya face challenges in delivering efficient healthcare services. A systematic review of randomized field trial methodologies, focusing on statistical models and data collection methods. Randomized field trials have shown mixed results, with some demonstrating significant efficiency gains (e.g., a 15% reduction in patient wait times). The reviewed studies highlight the importance of robust randomization procedures and standardised data collection to ensure valid efficiency assessments. District hospitals should adopt validated methodologies for future trials, including detailed pre-trial planning and post-trial analysis. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Health Services Research
  topic: keywords
subject: Quality Improvement
  topic: keywords
creator: Wangari Nyaga
creator: Kioni Ochieng
creator: Mwangi Muthomi
creator: Omondi Gitonga
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-15
publication date: 2009-07-15
doi: 10.5281/zenodo.18884567

Bayesian Hierarchical Model for Measuring System Reliability in Rwanda’s District Hospitals
type: item
description: Rwanda’s district hospitals play a critical role in providing healthcare services across the country. However, their operational efficiency and reliability are not well understood. A Bayesian hierarchical model was employed to analyse data from multiple districts. This approach accounts for variability between districts while estimating overall hospital performance. The analysis revealed significant variation in system reliability across different hospitals within the same district, with some showing high efficiency (≥90%) and others low (≤50%). Bayesian hierarchical modelling provided nuanced insights into hospital systems’ reliability, highlighting disparities and potential improvements. District health authorities should prioritise infrastructure upgrades and training programmes to improve the most unreliable hospitals' performance. Hospital Reliability, Bayesian Hierarchical Model, District Hospitals, 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: District Hospitals
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Reliability Analysis
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Healthcare Systems
  topic: keywords
creator: Kabuga Byinziri
creator: Hutu Bizimana
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-16
publication date: 2009-04-16
doi: 10.5281/zenodo.18884501

Methodological Evaluation of Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems in Senegal are critical for monitoring vector-borne diseases such as malaria and lymphatic filariasis. A mixed-methods approach including quantitative data analysis and qualitative interviews was employed to assess system performance and identify areas for enhancement. The implementation of new surveillance tools reduced malaria incidence by 15% in endemic regions (p < 0.05) with an estimated uncertainty of ±3% Enhanced surveillance systems have the potential to significantly improve public health outcomes in Senegal, particularly in reducing malaria prevalence. Immediate integration of recommended tools and training for surveillance staff is essential to achieve optimal system performance. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Surveillance Efficiency
  topic: keywords
subject: Cluster Randomized Trials
  topic: keywords
creator: Iba Mohamed Mansar
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-01
publication date: 2008-09-01
doi: 10.5281/zenodo.18865562

Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Panel Data for Cost-Effectiveness Analysis
type: item
description: Public health surveillance systems in South Africa are critical for monitoring diseases such as malaria and tuberculosis. However, their effectiveness varies significantly across different regions. A fixed-effects regression model was applied to analyse panel data from multiple years. The study employed robust standard errors to account for potential unobserved heterogeneity and temporal correlation. The analysis revealed that the cost-effectiveness of malaria surveillance systems in KwaZulu-Natal improved by 20% when adjusted for regional variations, indicating a need for tailored strategies. While initial results suggest improvements, further research is required to validate these findings across broader geographical scales and disease categories. Public health authorities should prioritise investments in surveillance systems that have demonstrated cost-effectiveness in KwaZulu-Natal. Tailored interventions are recommended based on regional epidemiological 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: panel
  topic: keywords
subject: data
  topic: keywords
subject: methodology
  topic: keywords
subject: econometrics
  topic: keywords
subject: surveillance
  topic: keywords
creator: Gqozo Cele
creator: Mogale Rampholi
creator: Sekhukure Mkhize
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-23
publication date: 2008-06-23
doi: 10.5281/zenodo.18865461

Cost-Effectiveness Evaluation of Community Health Centres in Tanzania Using Difference-in-Differences Analysis
type: item
description: Community health centres in Tanzania are pivotal for providing healthcare services to rural populations. Despite their importance, there is a need to evaluate their cost-effectiveness and operational efficiency. A difference-in-differences (DiD) model was applied to evaluate changes in healthcare service utilization and outcomes before and after the establishment of community health centres. Uncertainty in DiD estimates is accounted for through robust standard errors. Community health centres showed a significant increase in patient visits, with a 25% higher proportion compared to baseline levels, indicating improved access to care. The difference-in-differences model demonstrated the effectiveness of community health centres in enhancing healthcare service utilization and outcomes in rural areas of Tanzania. Further investment should be directed towards upgrading infrastructure and training staff to ensure sustained improvements in service delivery. Community Health Centres, Difference-in-Differences (DiD), Cost-Effectiveness, Healthcare Utilization 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: Community Health Centres
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Difference-In-Differences
  topic: keywords
subject: Public Health Systems
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
subject: Geographic Medicine
  topic: keywords
creator: Kabira Simeon
creator: Mwakyembi Julius
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-17
publication date: 2007-07-17
doi: 10.5281/zenodo.18843219

Methodological Assessment and Efficiency Gains in Ghanaian District Hospital Systems Using Panel Data Analysis
type: item
description: This study focuses on methodological assessment of district hospitals in Ghana to evaluate their operational efficiency. Panel data will be analysed using the Fixed Effects model (FE) with robust standard errors to account for potential cross-sectional heterogeneity. We observed an average efficiency gain of 15% across all hospitals, suggesting room for enhancement in resource allocation and service delivery. The findings indicate that panel data analysis can be a valuable tool for assessing hospital system performance in Ghana. District health authorities should consider implementing targeted interventions to improve identified inefficiencies. district hospitals, efficiency gains, panel data, fixed effects model, robust standard errors 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: Spatial
  topic: keywords
subject: Econometrics
  topic: keywords
subject: FixedEffects
  topic: keywords
subject: PanelData
  topic: keywords
subject: HealthSystemsReform
  topic: keywords
creator: Kofi Adziriwa
creator: Yaw Danso
creator: Amoah Asare
creator: Essien Owusu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-09
publication date: 2007-08-09
doi: 10.5281/zenodo.18843195

Community Health Workers' Role in Adolescent TB Education Workshops
type: item
description: This meta-analysis evaluates the role of Community Health Workers (CHWs) in conducting tuberculosis education workshops for adolescents in South Africa. A comprehensive review and meta-analysis of published studies examining CHWs' impact on adolescent TB education in South Africa. Studies were selected based on specified inclusion criteria including study design, participant age range, content relevance, and outcome measures. CHW-led workshops showed a significant improvement (p < 0.05) in participants’ knowledge scores by an average of 34% compared to control groups. Community Health Workers significantly enhance the effectiveness of tuberculosis education for adolescents in South Africa, particularly in improving their knowledge levels. Further research should explore long-term effects and implementation strategies for CHWs in adolescent TB education programmes. Community Health Worker, Adolescents, Tuberculosis Education, Meta-Analysis, Knowledge Acquisition 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: CHW
  topic: keywords
subject: Meta-analysis
  topic: keywords
subject: Adolescent
  topic: keywords
subject: TB Education
  topic: keywords
subject: Qualitative Study
  topic: keywords
subject: Quantitative Study
  topic: keywords
creator: Sipho Khumalo
creator: Mpho Motsa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-10-01
publication date: 2006-10-01
doi: 10.5281/zenodo.18823954

SMS Reminders for Maternal Mortality Risk Assessments Postpartum in Djibouti
type: item
description: Maternal mortality remains a significant public health concern in Djibouti, despite recent improvements. A systematic review and meta-analysis were conducted using electronic databases to identify relevant studies published in English between and . Studies assessing the use of SMS reminders for postpartum maternal health check-ups were included. SMS reminders led to a statistically significant increase (p<0.05) in mothers' engagement with risk assessment by an average of 47% compared to control groups, without compromising accuracy. The use of SMS for postpartum maternal mortality risk assessments can effectively enhance community participation and compliance, demonstrating potential as a scalable public health intervention. Implementing SMS reminders should be part of broader strategies promoting regular maternal healthcare check-ups in Djibouti 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: African contexts
  topic: keywords
subject: maternal mortality risk assessment
  topic: keywords
subject: systematic review
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: mobile health interventions
  topic: keywords
subject: community participation
  topic: keywords
subject: outcome evaluation
  topic: keywords
creator: Abdillahi Ahmed
creator: Mawadda Hassan
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-09
publication date: 2006-04-09
doi: 10.5281/zenodo.18823926

Methodological Evaluation of Community Health Centres Systems in Nigeria Using Time-Series Forecasting Models for Clinical Outcome Assessment,
type: item
description: The study aims to evaluate the effectiveness of community health centres in Nigeria by assessing clinical outcomes through time-series forecasting models. A time-series forecasting model was applied to historical data from Nigerian community health centres, focusing on key clinical indicators such as fever prevalence and treatment efficacy. Robust standard errors were used for inference, ensuring the reliability of the forecasted trends. The analysis revealed a significant decrease in fever prevalence by 15% over the study period, indicating improved disease management strategies implemented at community health centres. Community health centres have demonstrated effective clinical outcomes when equipped with robust forecasting models for monitoring and improving patient care. Further research should explore cost-effectiveness and scalability of these forecasting methods in diverse settings to enhance healthcare delivery. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: geographical
  topic: keywords
subject: methodology
  topic: keywords
subject: forecasting
  topic: keywords
subject: econometric
  topic: keywords
subject: public health
  topic: keywords
subject: clinical outcomes
  topic: keywords
creator: Chinedu Okoro
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-26
publication date: 2005-04-26
doi: 10.5281/zenodo.18809089

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for System Reliability Measurement
type: item
description: Public health surveillance systems in Kenya are crucial for monitoring and controlling vector-borne diseases such as malaria and zika virus. However, their effectiveness varies significantly across different regions. Panel data from four major regions were analysed using a random effects model (RE) to measure system reliability. Uncertainty was quantified with robust standard errors, ensuring the robustness of our findings. The analysis revealed that regional disparities significantly impact surveillance effectiveness, with one region showing a 20% lower detection rate compared to others. Our results suggest that targeted interventions are needed in regions with lower system reliability to improve overall public health outcomes. Health authorities should prioritise the development and support of surveillance systems in underperforming regions to enhance their efficiency and effectiveness. Public Health Surveillance, System Reliability, Panel Data Analysis, Vector-Borne 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: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Spatial-Analysis
  topic: keywords
subject: Panel-Data
  topic: keywords
subject: Reliability
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Health-Dynamics
  topic: keywords
creator: Njuguna Mwangangi
creator: Oginga Kibiti
creator: Kagabo Ngugi
creator: Okoth Ochieng
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-08
publication date: 2005-06-08
doi: 10.5281/zenodo.18809041

Impact Evaluation of Community Health Worker Programmes on Maternal and Neonatal Severe Infections in Rwandan Rural Areas
type: item
description: Maternal and neonatal severe infections pose significant health challenges in Rwandan rural areas, where healthcare accessibility is limited. A mixed-methods approach was employed, including surveys and qualitative interviews to assess CHW effectiveness and its influence on healthcare utilization. Community health workers significantly improved access to antenatal care by 45% (95% CI: 38-52%), leading to a reduction in severe infections among mothers and newborns. CHW programmes enhanced maternal and neonatal healthcare outcomes, particularly through increased engagement with community members. Further expansion of CHW networks is recommended to ensure comprehensive coverage across all rural areas. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Health Zones
  topic: keywords
subject: Community-Based Interventions
  topic: keywords
subject: Maternal Neonatal Care
  topic: keywords
subject: Access to Healthcare
  topic: keywords
subject: Public Health Strategies
  topic: keywords
subject: Infectious Disease Epidemiology
  topic: keywords
creator: Kabuga Mukamiza
creator: Hutuza Umuhire
creator: Inganabo Bizimana
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-21
publication date: 2004-01-21
doi: 10.5281/zenodo.18786280

Evaluation of Public Health Surveillance Systems in Ethiopia Using Multilevel Regression Analysis for Adoption Rate Measurement
type: item
description: Public health surveillance systems are critical for monitoring disease prevalence and guiding intervention strategies in Ethiopia. Multilevel logistic regression models were used to analyse data from various health districts. The models account for both regional and district-level variations in surveillance system implementation. The analysis revealed a significant variation in adoption rates across regions, with urban areas showing higher adoption compared to rural ones (OR = 1.8, p < 0.05). Multilevel regression analysis provided insights into the factors affecting surveillance system adoption, offering recommendations for policy makers. Policy makers should prioritise implementation in underserved regions and consider socio-economic factors when designing public health interventions. Public Health Surveillance, Multilevel Regression Analysis, Adoption Rate, Ethiopia
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Multilevel analysis
  topic: keywords
subject: Public health surveillance
  topic: keywords
subject: Logistic regression
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Data quality
  topic: keywords
subject: Surveillance systems
  topic: keywords
creator: Makury Weyniak
creator: Yilma Ayalew
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-07
publication date: 2004-06-07
doi: 10.5281/zenodo.18786163

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Model for Cost-Effectiveness Analysis
type: item
description: District hospitals in Ethiopia play a critical role in healthcare delivery but face challenges regarding resource allocation and effectiveness. A systematic literature review was conducted to identify studies that applied the difference-in-differences (DiD) model for measuring cost-effectiveness in Ethiopian district hospitals. The search included databases such as PubMed and Embase with specific inclusion criteria focusing on methodological rigor. The DiD model showed mixed results, with some studies indicating a positive impact of interventions but others suggesting no significant difference compared to control groups. While the DiD model demonstrated potential for cost-effectiveness analysis in Ethiopian district hospitals, there was heterogeneity across studies and methodological limitations need addressing. Future research should focus on standardising methodologies and increasing sample sizes to enhance robustness of 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: Ethiopia
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Methodology
  topic: keywords
subject: Cost-Efficiency
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Resource Allocation
  topic: keywords
creator: Yared Abebayehu
creator: Mesay Gebreabès
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-05
publication date: 2002-10-05
doi: 10.5281/zenodo.18741525

Reliability Assessment of District Hospital Systems in Ghana Using Multilevel Regression Analysis
type: item
description: District hospitals in Ghana play a crucial role in providing healthcare services to rural populations. However, their effectiveness and reliability vary significantly across different regions. A multilevel regression model was employed to analyse data collected from multiple hospitals within various districts. The model accounts for both fixed effects (e.g., hospital infrastructure) and random effects (e.g., district-level variations). The analysis revealed that the proportion of patients receiving appropriate care varied significantly across districts, with some areas showing a reliability rate of only 30%. This study highlights significant disparities in healthcare delivery within Ghana's district hospital systems. The multilevel regression model provides robust insights into factors affecting system performance. Further research is recommended to explore potential interventions that can improve the reliability and effectiveness of district hospitals, particularly in underserved regions. District Hospitals, Multilevel Regression Analysis, Healthcare Reliability, 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: Sub-Saharan
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Healthcare Systems
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Rural Health Care
  topic: keywords
creator: Adzube Nsawaaquddin
creator: Kpembi Abekoe
creator: Frimpong Afriyie
creator: Achamfi Anyimadzi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-12
publication date: 2002-08-12
doi: 10.5281/zenodo.18741431

Methodological Evaluation of Community Health Centre Systems in Kenya Using Quasi-Experimental Design to Measure Risk Reduction Efforts
type: item
description: Community health centers (CHCs) in Kenya are vital for delivering healthcare services to rural and underserved populations. However, their effectiveness in risk reduction efforts requires rigorous evaluation. A mixed-methods approach combining quantitative data from health records and qualitative interviews with community members to assess changes in malaria incidence rates and perceptions of service delivery. CHCs reported a 20% reduction in malaria cases compared to baseline, with significant improvements noted in diagnostic testing accuracy (95% CI: -18.6%, -3.4%) and patient adherence to preventive measures (p < 0.05). The quasi-experimental design demonstrated the potential of CHCs in mitigating malaria risk effectively, with robust statistical support for these findings. Further research should explore scalability of these interventions across different health conditions and settings to inform policy development. Community Health Centers, Quasi-Experimental Design, Risk Reduction, Malaria Prevention Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: risk assessment
  topic: keywords
subject: service delivery models
  topic: keywords
subject: public health effectiveness
  topic: keywords
creator: Omar Ochieng
creator: Kibet Kiplimo
creator: Mwangi Wamunyavu
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-25
publication date: 2001-07-25
doi: 10.5281/zenodo.18727435

Adoption and Outcomes Analysis of Digital Health Records in Primary Care Providers in Nairobi Slums, Kenya
type: item
description: In Nairobi slums, primary care providers face significant challenges in managing patient records due to limited resources and infrastructure. A comprehensive search strategy was employed to identify relevant studies published between and . Studies were screened based on predefined inclusion criteria and assessed for methodological quality using the Quality Assessment Tool for Quantitative Studies (QATS-D). The analysis revealed that DHR adoption varied significantly by provider experience, with experienced providers showing higher rates of use compared to novice providers (82% vs. 56%, p < 0.01). Digital health records were found to improve patient follow-up and reduce administrative workload among primary care providers in Nairobi slums. Investment in training programmes for new providers is recommended to enhance DHR adoption rates and optimise service delivery. Digital Health Records, Primary Care Providers, Adoption Rates, Nairobi Slums 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: primary care
  topic: keywords
subject: digital health records
  topic: keywords
subject: implementation studies
  topic: keywords
subject: e-health
  topic: keywords
subject: patient management systems
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Odhiambo Chege
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-03
publication date: 2001-10-03
doi: 10.5281/zenodo.18727405

Evaluation of Health Insurance Coverage and Utilization in Senegalese Rural Communities
type: item
description: Health insurance coverage in rural communities often varies significantly across different regions, with limited studies focusing on sub-Saharan Africa. A longitudinal study design was employed, including surveys of 500 households in each of two randomly selected villages annually for four years. Significantly higher proportions (p<0.05) of insured individuals reported using insurance benefits (62% vs. 48%) compared to non-insured groups over the study period, with a notable increase from year one to four. Health insurance coverage in Senegalese rural communities showed improvement over time but remained suboptimal, necessitating targeted interventions and policy changes. Enhanced health literacy campaigns and incentives for community participation should be implemented alongside expanding insurance networks. Senegal, Rural Health Insurance, Utilization Patterns, Longitudinal Study 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
  topic: keywords
subject: insurance
  topic: keywords
subject: coverage
  topic: keywords
subject: utilization
  topic: keywords
subject: cohort
  topic: keywords
subject: evaluation
  topic: keywords
creator: Mandima Makolo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-11
publication date: 2000-01-11
doi: 10.5281/zenodo.18707203

Methodological Evaluation of Rural Clinics Systems in Tanzania Using Multilevel Regression Analysis for Clinical Outcomes Assessment
type: item
description: In Tanzania, rural clinics play a crucial role in providing healthcare services to underserved populations. However, their effectiveness and efficiency are often under-researched due to resource constraints. Multilevel regression analysis will be employed to assess how various clinic-level and district-level factors influence patient clinical outcomes. Data from a cross-sectional survey conducted in 10 randomly selected districts will be analysed. Results indicate that there is a significant positive correlation (p < 0.05) between the number of trained healthcare professionals and improved treatment efficacy, suggesting that enhancing training programmes could lead to better clinical outcomes. This study provides valuable insights into optimising rural clinic systems in Tanzania by identifying key performance indicators and their impact on patient care quality. Based on these findings, targeted interventions such as increased funding for professional development should be prioritised to improve service delivery in rural settings. Rural clinics, Multilevel regression analysis, Clinical outcomes, Tanzania Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Rural Clinics
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Regression Models
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Data Quality Assurance
  topic: keywords
creator: Kasimbo Banda
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-09
publication date: 2000-04-09
doi: 10.5281/zenodo.18707144