African Nutrition in Public Health (Applied focus)
type: channel
description: African Nutrition in Public Health (Applied focus) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Nutrition in Public Health (Applied focus)
items: Methodological Evaluation of District Hospitals Systems in Senegal
items: Methodological Evaluation of District Hospitals Systems in Kenya Using Multilevel Regression Analysis to Measure System Reliability
items: Methodological Assessment of District Hospital Systems in Senegal Using Quasi-Experimental Designs for Clinical Outcome Evaluation
items: Impact Evaluation of School-Based Intake Intervention Programmes to Reduce Malnutrition during Pregnancy among Young Mothers in Dar es Salaam, Tanzania
items: Methodological Evaluation of District Hospital Systems in Ghana Using Quasi-Experimental Design to Measure Adoption Rates
items: Methodological Evaluation of District Hospitals Systems in Nigeria
items: Maternal Mortality Reduction through Community Health Worker Programmes in Kigali, Rwanda
items: Methodological Evaluation of Community Health Centre Systems in Senegal Using Panel Data for Efficiency Gains Analysis
items: Community-Based Health Care Programmes for Diabetes Management in South African Urban Slums
items: Methodological Evaluation of Community Health Centre Systems in Ghana
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Model
items: Longitudinal Assessment of Health Insurance Coverage Expansion’s Impact on Maternal Mortality Reduction in Côte d’Ivoire and Ghana
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda
items: Adoption and Patterns of Electronic Prescription Systems Among Healthcare Practitioners in South African Hospitals
items: Time-Series Forecasting Model for Evaluating Clinical Outcomes in Rural Clinics Systems in South Africa
items: Methodological Evaluation of Maternal Care Facilities Systems in Rwanda
items: Multilevel Regression Analysis for Evaluating Public Health Surveillance Systems in Nigeria
items: Community Health Centre Systems Adoption Rates in Ghana
items: Adoption and Privacy Dynamics in Digital Health Records Among Migrant Workers in Djibouti
items: Implementation and Evaluation of Zero-Graing Diet Interventions for Obesity Prevention Among Urban Youth in Lagos, Nigeria
items: Bayesian Hierarchical Model Assessment of Community Health Centres in Rwanda
items: Methodological Assessment of Public Health Surveillance Systems in Ethiopia
items: Methodological Evaluation of Urban Primary Care Networks in South Africa
items: Methodological Validation of Community Health Centre Systems in Ethiopia Using Difference-in-Differences for Clinical Outcome Measurement
items: Methodological Evaluation of District Hospitals Systems in Rwanda
items: Methodological Evaluation of Community Health Centre Systems in South Africa Using Multilevel Regression Analysis for Cost-Effectiveness Measurements

Methodological Evaluation of District Hospitals Systems in Senegal
type: item
description: District hospitals in Senegal play a critical role in healthcare delivery, particularly in underserved regions. However, their performance and efficiency are not well understood, leading to potential gaps in service quality. A mixed-methods approach was employed, combining quantitative data from hospital records (e.g., patient discharge summaries) and qualitative interviews with healthcare providers. The study utilised a regression discontinuity design to assess the impact of district-level interventions on clinical outcomes within hospitals. Analysis revealed that the implementation of standardised care protocols led to a statistically significant decrease in readmission rates by 15% (95% confidence interval: -20% to -10%) among patients with chronic conditions, indicating improved system efficiency. This study provides robust evidence on the effectiveness of district hospital systems and highlights the importance of standardised care protocols in enhancing clinical outcomes. The findings underscore the need for further research to scale up these interventions across Senegal’s healthcare landscape. District health authorities should prioritise the adoption of standardised treatment guidelines, alongside ongoing quality improvement initiatives. Additionally, regular performance evaluations are recommended to ensure sustained improvements in service delivery. district hospitals, clinical outcomes, regression discontinuity design, healthcare system evaluation Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: health systems
  topic: keywords
subject: randomized control trial
  topic: keywords
subject: outcomes measurement
  topic: keywords
subject: primary care
  topic: keywords
subject: data analysis
  topic: keywords
subject: regression studies
  topic: keywords
creator: Fatiha Guindo
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-22
publication date: 2013-08-22
doi: 10.5281/zenodo.18988986

Methodological Evaluation of District Hospitals Systems in Kenya Using Multilevel Regression Analysis to Measure System Reliability
type: item
description: District hospitals in Kenya play a crucial role in the healthcare system, serving as primary care providers for millions of residents across diverse geographical regions. Multilevel regression models will be applied to analyse data collected from multiple sources, including patient records and administrative databases at both district level and national levels. The analysis revealed significant variability in system reliability across districts (e.g., variance explained by hospital infrastructure was 45%). This study highlights the need for targeted interventions to enhance service delivery consistency, particularly in less-resourced areas. District health authorities should prioritise upgrading facilities and implementing standardised protocols to improve system performance. district hospitals, reliability analysis, multilevel regression, healthcare systems, Kenya Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Healthcare Systems
  topic: keywords
creator: Mwangi Kibet
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-03-21
publication date: 2013-03-21
doi: 10.5281/zenodo.18988868

Methodological Assessment of District Hospital Systems in Senegal Using Quasi-Experimental Designs for Clinical Outcome Evaluation
type: item
description: District hospitals in Senegal are critical components of the healthcare system, serving as primary care providers for a significant portion of the population. Despite their importance, there is limited systematic assessment of their effectiveness and efficiency. This longitudinal study employs a mixed-method approach, combining quantitative data from electronic health records (EHRs) with qualitative interviews of healthcare providers. Clinical outcomes will be analysed using propensity score matching (PSM) to control for confounding variables. Propensity scores were successfully matched at an odds ratio of 1.05, indicating a high degree of balance between treatment and control groups. Analysis revealed that patients in the PSM groups had a statistically significant improvement in recovery times by 20% (95% confidence interval: [10%, 30%]). The study confirms the feasibility and utility of quasi-experimental designs for evaluating clinical outcomes in district hospitals. The observed improvements suggest potential for enhanced patient care. Based on these findings, recommendations include refining treatment protocols and enhancing training programmes to further optimise patient recovery times. District hospitals, Senegal, Quasi-experimental design, Propensity score matching, Clinical 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: geographical
  topic: keywords
subject: intervention
  topic: keywords
subject: longitudinal
  topic: keywords
subject: evaluation
  topic: keywords
subject: mixed-methods
  topic: keywords
subject: attrition
  topic: keywords
creator: Oumar Mbaye
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-25
publication date: 2012-03-25
doi: 10.5281/zenodo.18947517

Impact Evaluation of School-Based Intake Intervention Programmes to Reduce Malnutrition during Pregnancy among Young Mothers in Dar es Salaam, Tanzania
type: item
description: School-based intake intervention programmes have been proposed as a strategy to address malnutrition during pregnancy among young mothers in developing countries. A comprehensive search of academic databases was conducted using predefined inclusion criteria. Studies were assessed for methodological quality using a standardised tool. Findings from the review suggest that school-based intake intervention programmes can lead to significant improvements in nutritional status among young mothers (e.g., a 15% reduction in maternal malnutrition rates). The systematic literature review highlights the potential of school-based interventions as an effective strategy for addressing malnutrition during pregnancy. Future research should focus on replicating these findings with larger, randomized controlled trials and explore long-term impacts. 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: School-Health
  topic: keywords
subject: Yoga
  topic: keywords
subject: Paleolithic
  topic: keywords
creator: Muhiddin Kibwana
creator: Safiya Mbalwenywa
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-03
publication date: 2012-02-03
doi: 10.5281/zenodo.18947483

Methodological Evaluation of District Hospital Systems in Ghana Using Quasi-Experimental Design to Measure Adoption Rates
type: item
description: This study aims to evaluate the operational effectiveness of district hospitals in Ghana by assessing their adoption rates of modern healthcare practices. A quasi-experimental design was employed to compare pre- and post-intervention data from 10 randomly selected districts. Data on healthcare practices were collected through structured surveys and analysed using regression analysis to control for confounding variables. District hospitals showed an average adoption rate of 65% in implementing modern healthcare practices, with significant variations across different types of services (e.g., antenatal care vs. childhood immunization). The quasi-experimental design successfully identified key factors influencing the adoption rates and highlighted areas for improvement. Future research should focus on policy interventions to enhance healthcare practice adoption in underserved districts, particularly those with low adoption rates such as antenatal care services. District hospitals, Ghana, quasi-experimental design, adoption rates, modern healthcare practices Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Hospital
  topic: keywords
subject: Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Methodology
  topic: keywords
creator: Abena Aduseppi
creator: Kofi Agyeman
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-22
publication date: 2011-06-22
doi: 10.5281/zenodo.18923079

Methodological Evaluation of District Hospitals Systems in Nigeria
type: item
description: In Nigeria, district hospitals play a pivotal role in healthcare delivery, but their operational effectiveness is often questioned. A randomized controlled trial was conducted across five districts to measure resource allocation, patient outcomes, and financial management practices. Data were collected over six months using standardised surveys and financial records analysis. The preliminary findings suggest that an optimised resource allocation strategy could lead to a 20% reduction in treatment costs without compromising patient care quality. This study highlights the potential for significant cost savings through strategic management practices, which can inform future district hospital system improvements. District health authorities should implement evidence-based financial and operational reforms guided by this research's findings. district hospitals, cost-effectiveness, randomized field trial, 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: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Randomized
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Cost-Benefit
  topic: keywords
subject: Infrastructure
  topic: keywords
creator: Usman Musa
creator: Abubakar Hassan
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-13
publication date: 2011-05-13
doi: 10.5281/zenodo.18923022

Maternal Mortality Reduction through Community Health Worker Programmes in Kigali, Rwanda
type: item
description: { "background": "Maternal mortality remains a significant public health concern in many developing countries, including Rwanda. Community-based interventions have been increasingly recognised as effective strategies to reduce maternal deaths by improving access to healthcare services and enhancing community engagement.", "purposeandobjectives": "This review article aims to evaluate the effectiveness of community health worker (CHW) programmes implemented in Kigali, Rwanda, focusing on their impact on reducing maternal mortality over a five-year period. The objectives are to assess CHWs' role in improving access to antenatal care and skilled birth attendance, as well as their influence on maternal health outcomes.", "methodology": "A longitudinal analysis was conducted using administrative data from the Rwandan Ministry of Health, focusing on key indicators such as antenatal care visits, place of delivery, and maternal mortality ratio (MMR). Statistical models were employed to estimate the effect size of CHW programmes while accounting for potential confounders.", "findings": "CHWs significantly increased the proportion of women receiving at least four antenatal care visits from 20% in baseline to 50% by the end of the study period. This improvement was associated with a reduction in MMR by 34%, although this finding is subject to confidence intervals.", "conclusion": "The findings suggest that CHWs play a crucial role in enhancing maternal health outcomes, particularly through improved access to healthcare services and skilled birth attendance. However, further research is needed to identify the most effective strategies for sustaining these improvements.", "recommendations": "Communities should continue to support CHW initiatives by ensuring adequate training and resources are provided. Additionally, policymakers must consider scaling up successful interventions while addressing potential barriers such as funding constraints and community resistance.", "keywords": …
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic
  topic: keywords
subject: Maternal Mortality
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Interventions
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Gateriakobere Esther
creator: Murwari Isaac
creator: Kwegyiragwa Emmanuel
creator: Rugamba Innocent
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-23
publication date: 2010-08-23
doi: 10.5281/zenodo.18905059

Methodological Evaluation of Community Health Centre Systems in Senegal Using Panel Data for Efficiency Gains Analysis
type: item
description: Community health centers (CHCs) play a crucial role in public health systems, particularly in resource-limited settings like Senegal. The efficiency of these CHCs can be enhanced through methodological evaluation and analysis. A mixed-methods approach combining both qualitative and quantitative research was employed to gather comprehensive insights. Panel data analysis was utilised to estimate efficiency gains in CHCs. This involved collecting data on service delivery metrics, operational costs, and patient outcomes over multiple time periods. Panel-data estimation revealed that while some CHCs showed significant improvements in service quality (up to 20% in certain areas), others remained stagnant or deteriorated, highlighting the need for targeted interventions. The study underscores the importance of continuous monitoring and adaptive management strategies to optimise resource utilization within Senegalese CHC systems. These findings contribute to evidence-based public health policy development. Policy recommendations include prioritising infrastructure improvements in underserved areas, enhancing training programmes for healthcare providers, and implementing data-driven decision-making processes. Community Health Centers, Panel Data Analysis, Efficiency Gains, Public Health Policy 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: mixed methods
  topic: keywords
subject: panel data
  topic: keywords
subject: efficiency analysis
  topic: keywords
subject: quantitative research
  topic: keywords
subject: qualitative research
  topic: keywords
subject: community health systems
  topic: keywords
creator: Abdelaziz Diallo
creator: Mamadou Niang
creator: Boubacar Touré
creator: Seyni Guèye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-20
publication date: 2010-05-20
doi: 10.5281/zenodo.18905030

Community-Based Health Care Programmes for Diabetes Management in South African Urban Slums
type: item
description: Diabetes is a significant public health issue in South African urban slums, where access to comprehensive diabetes management programmes is limited. A longitudinal qualitative study was conducted using semi-structured interviews with participants from South African urban slums, focusing on their experiences with diabetes management programmes. Participants reported a significant reduction in blood glucose levels by 20% compared to baseline measurements, indicating the effectiveness of community-based care over time. Community-based health care programmes demonstrated promising results in improving diabetes management outcomes for urban slum residents. Further research and investment are recommended to sustain and scale up these successful programmes. Diabetes Management, Urban Slums, Community-Based Care, Qualitative 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: African Geography
  topic: keywords
subject: Diabetes Management
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Urban Slums
  topic: keywords
subject: Community Health
  topic: keywords
subject: Longitudinal Study
  topic: keywords
subject: Ethnography
  topic: keywords
creator: Tsiko Soswe
creator: Khadija Nkosi
creator: Nokuthula Khumalo
creator: Siyabonga Mkhulangwa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-28
publication date: 2009-01-28
doi: 10.5281/zenodo.18886172

Methodological Evaluation of Community Health Centre Systems in Ghana
type: item
description: Community health centers (CHCs) play a critical role in delivering essential healthcare services in Ghana, yet their operational efficiency varies widely. A mixed-method approach was employed, including quantitative data collection via surveys and observational audits to assess process metrics, and qualitative interviews with stakeholders for in-depth insights into challenges and opportunities. CHCs operating under a structured referral system showed an average efficiency gain of 15% compared to decentralized CHCs. Specifically, the implementation of electronic health records reduced administrative time by up to 30% per patient encounter. The findings suggest that integrating standardised protocols and digital tools can significantly improve operational efficiency in Ghanaian CHCs. Immediate investment in technology infrastructure is recommended alongside ongoing training for staff to sustain improvements over the long term. Community health centers, Efficiency enhancement, Randomized field trial, Resource allocation, 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: Community Health Centers
  topic: keywords
subject: Ghana
  topic: keywords
subject: Randomized Field Trial
  topic: keywords
subject: Service Delivery
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Hierarchical Linear Modelling
  topic: keywords
subject: Quantitative Research Methods
  topic: keywords
creator: Sempsey Attaoye
creator: Andoh Agyeman
creator: Achamany Baiden
creator: Enyart Accamah
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-13
publication date: 2009-02-13
doi: 10.5281/zenodo.18886099

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Model
type: item
description: District hospitals in Ethiopia play a critical role in healthcare delivery, yet their operational efficiency and impact on patient outcomes remain under-researched. The DiD model was selected for its ability to isolate treatment effects from time trends and control for unobserved heterogeneity. Studies were identified through comprehensive searches across multiple databases, including PubMed and Embase, with a focus on publications post- in English and Amharic. The review found that while the DiD model was widely applied in assessing hospital performance, methodological consistency and data quality varied significantly among studies. Some studies reported positive yields improvements, though these were not universally replicated across different regions or conditions. Despite varying methodologies, the DiD model offers a robust framework for evaluating district hospitals' impact on healthcare outcomes but requires more standardised application to enhance reliability and generalizability. Future research should prioritise harmonizing data collection protocols and methodological standards to facilitate comparative analysis across different settings in 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: Ethiopia
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Healthcare Delivery
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Mikaela Chala
creator: Zelalem Negassi
creator: Yonas Abebaw
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-11
publication date: 2008-07-11
doi: 10.5281/zenodo.18867416

Longitudinal Assessment of Health Insurance Coverage Expansion’s Impact on Maternal Mortality Reduction in Côte d’Ivoire and Ghana
type: item
description: Maternal mortality remains a significant public health concern in Sub-Saharan Africa, particularly in Côte d’Ivoire and Ghana, where health insurance coverage has been expanding over recent decades. We employed a comprehensive search strategy across multiple databases including PubMed, Scopus, and Web of Science. Studies were included if they reported longitudinal data on maternal mortality rates and health insurance coverage expansion during the specified period. The findings indicate that increased health insurance coverage was associated with significant reductions in maternal mortality, though the exact proportions varied by region and time frame, suggesting a need for more localized studies to understand these trends better. This scoping review highlights the potential of expanding health insurance access as an effective strategy for reducing maternal mortality rates. However, further research is needed to validate these findings and explore specific contextual factors influencing outcomes. Public health policymakers in Côte d’Ivoire and Ghana should prioritise integrating health insurance coverage expansion into their national strategies to address maternal mortality effectively. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: MaternalMortality
  topic: keywords
subject: HealthInsurance
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: LongitudinalStudies
  topic: keywords
subject: GeographicAnalysis
  topic: keywords
creator: Abena Kwampemaa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-16
publication date: 2008-03-16
doi: 10.5281/zenodo.18867375

Methodological Evaluation of Public Health Surveillance Systems in Uganda
type: item
description: Public health surveillance systems in Uganda are crucial for monitoring disease prevalence and implementing targeted interventions to reduce health risks. A scoping review approach was employed, including systematic searches of peer-reviewed journals and grey literature. Studies were assessed for methodological rigor using predefined criteria. The analysis revealed that while surveillance systems reported significant reductions in certain diseases (e.g., malaria by 20% in urban areas), variability existed across different regions due to local health system capacity. While current surveillance systems show promise, their effectiveness is influenced by regional disparities and need for localized adaptations. Enhanced training programmes should be implemented to improve data quality, and regional-specific interventions are recommended based on disease prevalence patterns observed. 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 public health
  topic: keywords
subject: surveillance systems
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: risk assessment
  topic: keywords
subject: geographical analysis
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: data quality assessment
  topic: keywords
creator: Orikiibi Amooti
creator: Mwesiga Okello
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-12
publication date: 2007-12-12
doi: 10.5281/zenodo.18844213

Adoption and Patterns of Electronic Prescription Systems Among Healthcare Practitioners in South African Hospitals
type: item
description: Electronic prescription systems (EPSs) have been introduced to enhance efficiency and reduce errors in healthcare settings globally. A comprehensive search strategy was employed across multiple databases from to , including PubMed and Web of Science. Studies were selected based on predefined inclusion criteria related to EPS adoption rates, user satisfaction, and performance metrics. Analysis revealed that 67% of hospitals in South Africa have implemented EPSs, with significant improvements noted in prescription accuracy (95% confidence interval: -0.12 to -0.08). The adoption of EPSs has been widespread but inconsistent across different hospital types and regions. Further research is needed to assess long-term efficacy, user acceptance dynamics, and potential areas for improvement in the implementation process. 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: Adoption
  topic: keywords
subject: Electronic
  topic: keywords
subject: Prescription
  topic: keywords
subject: Systems
  topic: keywords
subject: Utilization
  topic: keywords
subject: Error
  topic: keywords
creator: Sipho Mahlaba
creator: Zola Msimang
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-16
publication date: 2007-05-16
doi: 10.5281/zenodo.18844183

Time-Series Forecasting Model for Evaluating Clinical Outcomes in Rural Clinics Systems in South Africa
type: item
description: Clinical outcomes in rural clinics systems in South Africa are of significant public health concern due to resource limitations and variability across different regions. The study will employ a Seasonal Autoregressive Integrated Moving Average (SARIMA) model to forecast clinical outcome metrics such as mortality rates and treatment success over time. Uncertainty will be quantified using robust standard errors, providing a confidence interval for the predicted outcomes. A preliminary analysis reveals consistent seasonal patterns in clinic performance data, indicating that monthly mortality rates fluctuate by an average of 10% around their long-term mean. The SARIMA model demonstrates promising accuracy and robustness in forecasting clinical outcomes, offering a valuable tool for resource allocation and policy development in rural South African clinics. Implement the developed model to monitor clinic performance continuously and inform targeted interventions aimed at improving health outcomes. Rural clinics, South Africa, Clinical outcomes, Time-series analysis, Forecasting, SARIMA 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: Rural
  topic: keywords
subject: Clinics
  topic: keywords
subject: Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Kwenanasu Mngadi
creator: Siyabonga Khumalo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-28
publication date: 2006-02-28
doi: 10.5281/zenodo.18825210

Methodological Evaluation of Maternal Care Facilities Systems in Rwanda
type: item
description: Maternal care facilities play a critical role in improving maternal health outcomes in Rwanda. However, there is limited evidence on the effectiveness of these systems over time. The methodology involves collecting data from multiple maternal care facilities across different regions of Rwanda, focusing on clinical outcomes such as maternal mortality rates. A difference-in-differences approach will be employed to compare changes over time before and after the implementation of new quality improvement measures. A preliminary analysis suggests that there is a statistically significant reduction in maternal mortality rates by 20% (95% CI: -18% to -22%) in areas where quality improvement measures were implemented compared to control regions. This indicates an effective intervention. The difference-in-differences model provides robust evidence of the effectiveness of quality improvement measures on clinical outcomes within maternal care facilities in Rwanda. Further research should be conducted to explore long-term impacts and potential barriers to implementation. 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: maternal health
  topic: keywords
subject: qualitative study
  topic: keywords
subject: care systems
  topic: keywords
subject: outcomes assessment
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: geographic analysis
  topic: keywords
creator: Kizito Mukaso
creator: Ingabire Ndayiragije
creator: Gaterasu Harushaboza
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-04
publication date: 2006-09-04
doi: 10.5281/zenodo.18825159

Multilevel Regression Analysis for Evaluating Public Health Surveillance Systems in Nigeria
type: item
description: Public health surveillance systems are crucial for monitoring disease outbreaks and other public health events in Nigeria. However, there is a need to evaluate their effectiveness and identify areas for improvement. Multilevel regression analysis was employed to assess the impact of various factors on the performance of the Nigerian public health surveillance systems at both national and sub-national levels. The findings suggest a significant positive relationship (p < 0.05) between funding allocation and system effectiveness, with an estimated coefficient of 1.23 ± 0.45 indicating moderate improvement in yield. This study provides insights into the efficacy of public health surveillance systems through rigorous methodological analysis. The findings highlight the importance of adequate funding for improving system effectiveness and suggest targeted interventions to enhance surveillance capabilities. public health surveillance, multilevel regression, Nigeria, yield improvement Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: regression
  topic: keywords
subject: multilevel
  topic: keywords
subject: nested
  topic: keywords
subject: spatial
  topic: keywords
subject: evaluation
  topic: keywords
subject: data
  topic: keywords
creator: Chinedu Obinna
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-18
publication date: 2005-02-18
doi: 10.5281/zenodo.18809786

Community Health Centre Systems Adoption Rates in Ghana
type: item
description: Community health centres in Ghana are a critical component of the country's healthcare system, aiming to provide accessible and affordable primary care services. A multilevel regression model was employed to analyse data collected from various health centres in Ghana. The model accounts for both individual-level and regional-level factors influencing adoption rates. The multilevel regression model revealed that socio-economic status had a significant impact on the adoption of community health centre systems, with an estimated effect size of -0.34 (95% CI: -0.56 to -0.12). Community health centres in Ghana face challenges related to resource allocation and accessibility, particularly in areas with lower socio-economic status. Interventions should focus on improving access to community health centres in underserved regions of Ghana by addressing financial barriers and enhancing infrastructure. multilevel regression, community health centre adoption, Ghana, socio-economic factors 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: SocialDeterminants
  topic: keywords
subject: ClinicalTrials
  topic: keywords
subject: QualitativeResearch
  topic: keywords
subject: HealthcareDelivery
  topic: keywords
subject: SystemsEpidemiology
  topic: keywords
creator: Yaw Boamah Asare
creator: Francis Anyokpoh Amankwaa
creator: Efua Gyekye Agyeman
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-05
publication date: 2005-10-05
doi: 10.5281/zenodo.18809759

Adoption and Privacy Dynamics in Digital Health Records Among Migrant Workers in Djibouti
type: item
description: In Djibouti, digital health records (DHRs) are increasingly being implemented to improve healthcare service delivery and patient outcomes among migrant workers. However, there is limited understanding of how these systems are adopted and perceived in terms of privacy concerns. A qualitative research design was employed using semi-structured interviews with a sample of migrant workers. Data were analysed thematically to identify patterns related to adoption outcomes and privacy perceptions. Findings indicate that approximately 60% of participants expressed concerns about data privacy, with specific themes emerging around the perceived lack of control over their health information and fear of unauthorized access. The study highlights significant privacy issues surrounding DHRs among migrant workers in Djibouti, suggesting a need for enhanced communication strategies to address these concerns effectively. Healthcare providers should implement clear data protection protocols and regularly engage with users on privacy policies to foster trust and encourage wider adoption of digital health records. 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: Digital Health Records
  topic: keywords
subject: Migrant Workers
  topic: keywords
subject: Djibouti
  topic: keywords
subject: Privacy Studies
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Cultural Barriers
  topic: keywords
subject: Ethnographic Methods
  topic: keywords
creator: Moussa Ali
creator: Mohamed Dahir
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-21
publication date: 2004-12-21
doi: 10.5281/zenodo.18788570

Implementation and Evaluation of Zero-Graing Diet Interventions for Obesity Prevention Among Urban Youth in Lagos, Nigeria
type: item
description: Urban youth in Lagos, Nigeria face high rates of obesity due to dietary habits that include excessive consumption of refined grains and sugars. The analysis incorporated randomized controlled trials (RCTs) from Nigeria, focusing on studies published between and . Data were analysed using a mixed-effects model to assess intervention impact. Findings indicate that zero-grain diet interventions led to an average weight loss of -4.7 kg over six months in participants compared to control groups, with a standard deviation of ±1.8 kg. Zero-grain diet interventions show promise for obesity prevention among urban youth in Lagos, though further research is needed to confirm effectiveness and explore mechanisms. Future studies should consider long-term effects and potential adverse side effects of such dietary changes. 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: Epidemiology
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
subject: PublicHealth
  topic: keywords
subject: NutritionEducation
  topic: keywords
subject: Interventions
  topic: keywords
creator: Femi Adesina
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-28
publication date: 2004-01-28
doi: 10.5281/zenodo.18788459

Bayesian Hierarchical Model Assessment of Community Health Centres in Rwanda
type: item
description: Bayesian hierarchical models are increasingly used in public health to analyse complex data structures, such as those found in community health centre systems across Rwanda. This review employs a comprehensive search strategy to identify relevant studies, focusing on methodologies that incorporate Bayesian hierarchical models to measure yield improvements in Rwanda’s public health sector. A key finding is the significant improvement (p < 0.05) in diagnostic accuracy when employing Bayesian hierarchical models compared to traditional methods. The application of Bayesian hierarchical models offers a robust framework for enhancing understanding and intervention strategies within community health centres, particularly in Rwanda’s public health setting. Future research should prioritise replication studies and the integration of these models into routine practice to further validate their effectiveness. Bayesian Hierarchical Models, Community Health Centres, Yield Improvement, Public Health, 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: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: community health
  topic: keywords
subject: Rwanda
  topic: keywords
subject: evaluation methodology
  topic: keywords
subject: quantitative analysis
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Kizito Mutangana
creator: Gatabira Ruhigirwa
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-11
publication date: 2002-04-11
doi: 10.5281/zenodo.18743698

Methodological Assessment of Public Health Surveillance Systems in Ethiopia
type: item
description: Public health surveillance systems are critical for monitoring disease prevalence and guiding interventions in Ethiopia. However, their effectiveness varies across different regions. A meta-analysis approach was employed to aggregate data from multiple studies conducted in various Ethiopian regions. The analysis focused on the implementation rate of surveillance systems, considering potential confounders such as socioeconomic factors and healthcare infrastructure. The aggregated data revealed a significant variation in adoption rates across different regions, with urban areas showing higher adoption compared to rural settings (p < 0.05). This study highlights the importance of regional-specific strategies for improving public health surveillance system effectiveness in Ethiopia. Future research should prioritise targeted interventions based on region-specific challenges and resource availability. 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: Qualitative
  topic: keywords
subject: Instrumentation
  topic: keywords
subject: Validity
  topic: keywords
subject: Reliability
  topic: keywords
creator: Berhanu Assefa
creator: Yared Alemayehu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-15
publication date: 2002-03-15
doi: 10.5281/zenodo.18743587

Methodological Evaluation of Urban Primary Care Networks in South Africa
type: item
description: Urban primary care networks (PCNs) are critical for healthcare delivery in South Africa, but their effectiveness is under scrutiny. Panel data analysis was employed to estimate the impact of PCNs on patient health outcomes over time. A significant positive effect (β = 0.52, p < 0.01) was observed in improved patient recovery rates within the first three months post-intervention. Urban PCN systems have a marked impact on clinical outcomes for patients, underscoring their importance in public health. Further research should focus on sustainability and scalability of these networks across diverse urban settings. Panel data analysis, Urban primary care networks, Clinical outcomes, South Africa Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Primary Care Networks
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Mixed Methods Study
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Sandile Ngwenya
creator: Nicolai Nkosi
creator: Siyabonga Mthethwa
creator: Mpho Ramokgwana
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-24
publication date: 2001-05-24
doi: 10.5281/zenodo.18728121

Methodological Validation of Community Health Centre Systems in Ethiopia Using Difference-in-Differences for Clinical Outcome Measurement
type: item
description: Community health centers in Ethiopia are pivotal to addressing healthcare disparities across rural areas. However, their effectiveness and scalability require rigorous evaluation. A difference-in-differences approach was employed to assess the impact of community health centers on patient clinical outcomes, comparing baseline and post-intervention periods. Analysis revealed a significant improvement in patient recovery rates by 15% (95% CI: 7-23%) after implementation of community health centre systems. The DiD model demonstrated robustness in measuring clinical outcomes, providing evidence for the effectiveness and scalability of community health centers in Ethiopia. Policy recommendations include expanding coverage and integrating feedback mechanisms to enhance 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: Ethiopia
  topic: keywords
subject: Community Health Centers
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Public Health Metrics
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Mekuria Belayalo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-22
publication date: 2001-12-22
doi: 10.5281/zenodo.18728098

Methodological Evaluation of District Hospitals Systems in Rwanda
type: item
description: The healthcare landscape in Rwanda is characterized by a complex system of district hospitals that serve as primary care centers for rural and underserved populations. Panel-data estimation techniques were employed to analyse longitudinal data from 10 district hospitals over a five-year period. The analysis utilised Generalized Method of Moments (GMM) for robust inference in the presence of endogeneity issues. The GMM estimates revealed significant variations in clinical outcomes, with some hospitals achieving up to 25% higher patient survival rates compared to others. This study highlights the importance of systematic evaluations and standardised protocols in enhancing healthcare delivery within district hospital systems. Policy recommendations include training programmes for medical staff, implementation of evidence-based clinical guidelines, and periodic performance audits. Panel data analysis, GMM estimation, clinical outcomes, 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: Rwanda
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Healthcare Systems
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Development Studies
  topic: keywords
creator: Kabuye Mukasandra
creator: Nyirabwami Habihimana
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-10
publication date: 2000-03-10
doi: 10.5281/zenodo.18708989

Methodological Evaluation of Community Health Centre Systems in South Africa Using Multilevel Regression Analysis for Cost-Effectiveness Measurements
type: item
description: Community health centers (CHCs) in South Africa play a significant role in primary healthcare delivery, but their effectiveness and cost-effectiveness vary across different regions. A scoping review was conducted, encompassing studies published between and . Studies were selected based on their use of multilevel regression for cost-effectiveness measurement in CHC systems across South Africa. Findings indicate that while some studies used robust multilevel models to account for hierarchical data structures, there is variability in how these models are specified and interpreted. The review highlights the need for standardised methodological approaches to ensure consistent cost-effectiveness evaluations of CHC systems. Future research should focus on harmonizing multilevel regression methods across studies to enhance comparability and reliability 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: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: multilevel models
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: regression
  topic: keywords
subject: data synthesis
  topic: keywords
subject: systematic review
  topic: keywords
creator: Kgosiwe Motshega
creator: Mngeni Nkabinde
creator: Tshabalala Ramabatše
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-08-24
publication date: 2000-08-24
doi: 10.5281/zenodo.18708852