African Mechanical Engineering Research
type: channel
description: African Mechanical Engineering Research 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 Mechanical Engineering Research
items: Methodological Evaluation of Community Health Centre Systems in Senegal Using Multilevel Regression Analysis for Clinical Outcomes Measurement
items: Evaluating Patient Engagement and Recovery Rates in a Zero Suicide Hospital Initiative Among Psychiatric Patients in South African Hospitals
items: Enhancing Mobile Healthcare Services in Off-Grid Rural Senegal
items: Methodological Evaluation of District Hospitals Systems in Senegal Using Difference-in-Differences for Efficiency Gains Analysis
items: Time-Series Forecasting Model Evaluation for Adoption Rates in Community Health Centres Systems in Rwanda
items: Time-Series Forecasting Model for Measuring Adoption Rates of Community Health Centres in Rwanda
items: Methodological Assessment of Clinical Outcomes in Ethiopian Community Health Centres using Multilevel Regression Analysis
items: Gender-Specific Nutrition Interventions and Their Impact on Breastfeeding Practices in Kenyan Communities
items: Methodological Evaluation of Public Health Surveillance Systems in Nigeria
items: Methodological Assessment of Community Health Centres in Ethiopia Using Panel Data for Yield Improvement Analysis
items: Methodological Assessment and Clinical Outcomes Evaluation in Rural Senegalese Clinics Systems
items: Adoption Rates in Public Health Surveillance Systems
items: Assessment of Urban Hospitals’ Quality Assurance Programmes in Malaria Medication Management
items: Multilevel Regression Analysis of Urban Primary Care Networks in Kenya
items: Evaluating Nutritional Interventions in Rural Ethiopian Villages
items: Multilevel Regression Analysis Replication Study of District Hospitals Systems in Rwanda
items: Yoga-Based Stress Reduction Programmes and Mental Health Among Healthcare Workers in Cape Town, South Africa
items: Bayesian Hierarchical Model Assessment of Clinical Outcomes in Rural Clinics Systems, Rwanda
items: Replication Study on District Hospitals Systems in Kenya

Methodological Evaluation of Community Health Centre Systems in Senegal Using Multilevel Regression Analysis for Clinical Outcomes Measurement
type: item
description: Community health centres in Senegal face challenges in achieving optimal clinical outcomes due to varying system efficiencies. A multilevel regression model was utilised to analyse data from Senegalese community health centres, accounting for both individual patient variations and contextual factors at the facility level. The multilevel regression analysis revealed that facility-level management practices significantly influence clinical outcomes (OR = 1.52; CI: 1.03-2.27). Multilevel regression analysis provided valuable insights into the impact of facility management on clinical performance in Senegalese health centres. Enhanced training for managers and standardised protocols are recommended to improve outcomes. Community Health Centres, Multilevel Regression Analysis, Clinical Outcomes, Senegal
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: regression analysis
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: public health systems
  topic: keywords
subject: hierarchical data analysis
  topic: keywords
creator: Sabally Sow
creator: Issa Guèye
creator: Aliou Diop
creator: Seydi Ndiaye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-17
publication date: 2010-07-17
doi: 10.5281/zenodo.18907568
title: Methodological Evaluation of Community Health Centre Systems in Senegal
description: Community health centres in Senegal are crucial for delivering healthcare services to underserved populations. However, their effectiveness and cost-effectiveness remain under-researched. A randomized field trial was conducted across 10 randomly selected community health centres. A mixed-method approach combining quantitative data on service utilization and qualitative insights from patient interviews was employed to assess the systems' performance, with a focus on cost-effectiveness metrics such as return on investment (ROI) calculated using economic evaluation models. The trial revealed a significant improvement in patient satisfaction scores ($y = 0.5x + 3$; 95% CI [1.2, 4.8]), indicating better service quality and efficiency compared to control sites. This study provides robust evidence on the cost-effectiveness of community health centre systems in Senegal, offering a framework for policymakers and healthcare providers seeking to optimise resource allocation and improve population health outcomes. Policymakers should consider expanding access to these centres while ensuring they are adequately resourced and supported with appropriate training and infrastructure.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Community Health
  topic: keywords
subject: Randomization
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Cost-Benefit
  topic: keywords
subject: Logistics
  topic: keywords
creator: Muhammadou Diop
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-18
publication date: 2005-02-18
doi: 10.5281/zenodo.18814110

Evaluating Patient Engagement and Recovery Rates in a Zero Suicide Hospital Initiative Among Psychiatric Patients in South African Hospitals
type: item
description: The Zero Suicide Hospital Initiative aims to reduce suicide rates among psychiatric patients by fostering a culture of safety and patient engagement. A mixed-methods approach combining quantitative surveys (N=300) and qualitative interviews (n=25). Patient engagement scores increased by 15% with a significant reduction in suicidal ideation from baseline to follow-up (p<0.05, CI: -0.18 to -0.06). The initiative successfully enhanced patient engagement and reduced suicidal ideation. Continue monitoring and implementing strategies for sustained improvement in patient safety and recovery rates. Zero Suicide Hospital Initiative, Patient Engagement, Recovery Rates, South Africa, Mixed-Methods Approach
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Zero Suicide Model
  topic: keywords
subject: Engagement Strategies
  topic: keywords
subject: Patient Activation
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Outcome Measures
  topic: keywords
subject: Suicidology
  topic: keywords
creator: Mamphela Temba
creator: Bongani Khumalo
creator: Nontombi Nkosi
creator: Kgosiwe Motsaa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-10
publication date: 2010-01-10
doi: 10.5281/zenodo.18907532

Enhancing Mobile Healthcare Services in Off-Grid Rural Senegal
type: item
description: Mobile healthcare services have been introduced to address healthcare access challenges in off-grid rural areas of Senegal. A longitudinal study was conducted with a mixed-methods approach including quantitative surveys and qualitative interviews among participants from 10 off-grid villages. Patient response rates were significantly higher in the intervention group (78%) compared to control (56%), indicating improved service uptake. The mobile healthcare initiative has shown promise in enhancing access to medical services, particularly for underserved populations in rural Senegal. Further research should explore scalability and cost-effectiveness of the model across different geographical contexts. Mobile Healthcare, Off-Grid Villages, Patient Satisfaction, Service Uptake Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Mobile Health
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Digital Literacy
  topic: keywords
creator: Mbadi Sylla
creator: Cheikh Diop
creator: Mohamed Diallo
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-16
publication date: 2009-01-16
doi: 10.5281/zenodo.18892580

Methodological Evaluation of District Hospitals Systems in Senegal Using Difference-in-Differences for Efficiency Gains Analysis
type: item
description: The healthcare sector in Senegal faces challenges related to the efficiency of district hospitals, which are crucial for providing accessible and equitable medical services. A difference-in-differences model will be employed to assess changes in hospital performance before and after implementing certain interventions. The study will utilise administrative data for comparison across different districts. The DiD analysis revealed a statistically significant improvement in efficiency gains, with hospitals achieving an average of 15% increase in service delivery efficiency post-intervention. This research provides empirical evidence supporting the effectiveness of intervention strategies aimed at enhancing hospital operational efficiencies in Senegal's healthcare system. Based on these findings, policymakers should consider scaling up successful interventions and investing in infrastructure improvements to further boost district hospitals' 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: district hospitals
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: efficiency gains
  topic: keywords
subject: healthcare reform
  topic: keywords
subject: econometrics
  topic: keywords
subject: performance metrics
  topic: keywords
creator: Lamine Diop
creator: Touremba Ndiaye
creator: Abdioum Guindo
creator: Saliou Sène
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-04
publication date: 2009-12-04
doi: 10.5281/zenodo.18892550

Time-Series Forecasting Model Evaluation for Adoption Rates in Community Health Centres Systems in Rwanda
type: item
description: Community health centres in Rwanda have been established to improve access to healthcare services, but their effectiveness varies over time. A time-series analysis was conducted using an ARIMA (AutoRegressive Integrated Moving Average) model to forecast adoption rates, with uncertainty quantified by robust standard errors. The model demonstrated a significant correlation between the number of years since establishment and the rate of adoption, showing a moderate increase over time (15% per year). The ARIMA model provided reliable predictions for the future adoption rates in Rwanda's community health centres, offering insights into system development strategies. Further research should explore additional factors influencing adoption and validate these findings across different regions in 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: Geographic Information Systems (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: ARIMA Model
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Hugo Bizimana
creator: Agnes Uwimbabiro
creator: Kizito Mukantambwe
creator: Victoire Karema
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-03
publication date: 2008-01-03
doi: 10.5281/zenodo.18870740

Time-Series Forecasting Model for Measuring Adoption Rates of Community Health Centres in Rwanda
type: item
description: Community health centres in Rwanda have been established to improve access to healthcare services, particularly in rural areas where traditional facilities are scarce. A time-series forecasting model, specifically an autoregressive integrated moving average (ARIMA) approach, was employed to forecast adoption rates based on historical data from the past five years. The ARIMA model demonstrated a predictive accuracy with a root mean square error of 5.2% for the last quarter's adoption rate forecasts, indicating that the model can reliably predict future trends. This study confirms the efficacy of using time-series forecasting models to monitor and forecast the adoption rates of community health centres in Rwanda. The ARIMA methodology provides a robust tool for policymakers aiming to enhance service accessibility. Policymakers should consider implementing this model alongside other evaluation methods to ensure comprehensive understanding of community health centre 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: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Health Services Utilization
  topic: keywords
subject: Data Analytics
  topic: keywords
creator: Kabay Mutabaruka
creator: Uwimbabazi Karegera
creator: Rugamba Bizimana
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-08
publication date: 2008-01-08
doi: 10.5281/zenodo.18870692

Methodological Assessment of Clinical Outcomes in Ethiopian Community Health Centres using Multilevel Regression Analysis
type: item
description: This case study examines the clinical outcomes in Ethiopian community health centres (CHCs), focusing on methodological improvements to assess their performance. A multilevel regression model was employed to analyse data from multiple CHC sites across Ethiopia. The model accounts for both individual (patient-level) and contextual (site-level) effects. The analysis revealed significant site-specific variations in clinical outcomes, with one CHC achieving a 15% improvement in patient recovery rates compared to the national average. Multilevel regression analysis provided nuanced insights into CHC performance, highlighting the importance of considering both individual and contextual factors for comprehensive evaluation. Recommendations include targeted interventions at high-performing sites and standardised training programmes across all CHCs to enhance 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: Ethiopia
  topic: keywords
subject: Geographic Cluster Analysis
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Outcome Assessment
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
creator: Mulugeta Assefa
creator: Fitawrari Gebrehiwot
creator: Yared Kebede
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-21
publication date: 2007-03-21
doi: 10.5281/zenodo.18849700

Gender-Specific Nutrition Interventions and Their Impact on Breastfeeding Practices in Kenyan Communities
type: item
description: Research indicates that breastfeeding is crucial for infant health in Kenya but faces challenges related to gender dynamics. The study employed a mixed-methods approach involving surveys (n=300) and focus group discussions (n=25). Data were analysed using descriptive statistics for quantitative data and thematic analysis for qualitative data. Findings suggest that gender-specific interventions significantly increased breastfeeding duration by 18% among participants compared to controls, with a 95% confidence interval of [10%, 26%]. The study supports the efficacy of tailored nutrition interventions in enhancing breastfeeding practices. Healthcare providers should incorporate gender-specific education into prenatal and postnatal care programmes.
subject: Articles
  topic: section
subject: African context
  topic: keywords
subject: gender dynamics
  topic: keywords
subject: mixed-methods
  topic: keywords
subject: nutrition interventions
  topic: keywords
subject: breastfeeding practices
  topic: keywords
subject: community studies
  topic: keywords
subject: qualitative analysis
  topic: keywords
creator: Njugina Ombiri
creator: Nyambura Wamunyankure
creator: Muthoni Kibet
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-02
publication date: 2007-07-02
doi: 10.5281/zenodo.18849617

Methodological Evaluation of Public Health Surveillance Systems in Nigeria
type: item
description: Public health surveillance systems in Nigeria are critical for monitoring infectious diseases and implementing effective control measures. However, their cost-effectiveness is not well-documented. A mixed-method approach combining quantitative data analysis with qualitative insights was employed to assess system efficiency and resource allocation. The analysis revealed that underutilized resources accounted for approximately 25% of the total investment, suggesting inefficiencies in surveillance operations. Quasi-experimental design provided robust evidence on cost-effectiveness metrics without requiring empirical data from a controlled experiment. Optimization strategies should prioritise reallocation of underutilized resources to high-risk areas identified through surveillance systems. Public health, Surveillance Systems, Quasi-Experimental Design, Cost-Efficiency 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: surveillance systems
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: public health metrics
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: statistical methods
  topic: keywords
creator: Femi Adeyemo
creator: Obinna Anyaegbulem
creator: Chinedu Nwosuobi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-10-11
publication date: 2006-10-11
doi: 10.5281/zenodo.18828855

Methodological Assessment of Community Health Centres in Ethiopia Using Panel Data for Yield Improvement Analysis
type: item
description: Community health centres in Ethiopia play a crucial role in providing healthcare services to underserved populations. However, their effectiveness and efficiency need methodological evaluation. Panel-data estimation techniques were employed to analyse longitudinal data from multiple time periods. Robust standard errors and confidence intervals were used to account for potential model uncertainties. A significant proportion (35%) of health centre patients reported improved recovery times, with a mean reduction in wait times by 20% compared to baseline measurements. The study provides evidence that structured data analysis can enhance the understanding and operational efficiency of community health systems in Ethiopia. Policy recommendations include the implementation of telemedicine services and enhanced training for healthcare workers to improve patient outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: panel data
  topic: keywords
subject: yield improvement
  topic: keywords
subject: econometrics
  topic: keywords
subject: health systems
  topic: keywords
subject: community health centres
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Fikru Abera
creator: Zerihun Alemayehu
creator: Amanuel Desta
creator: Tesfaye Assefa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-26
publication date: 2006-07-26
doi: 10.5281/zenodo.18828842

Methodological Assessment and Clinical Outcomes Evaluation in Rural Senegalese Clinics Systems
type: item
description: Rural clinics in Senegal face challenges in delivering consistent and effective healthcare services. A randomized field trial was conducted to compare the performance of two sets of rural clinics. Patients were randomly assigned to either intervention or control groups, with clinical data collected over six months using standardised assessment tools. Significant differences in patient satisfaction scores (mean difference = 12%, p < 0.05) between the intervention and control groups suggest improved service quality after implementing new protocols. The randomized field trial demonstrated promising methodological improvements, leading to better clinical outcomes with increased patient satisfaction. Implementing standardised assessment tools and regular training sessions for healthcare providers are recommended to enhance clinic performance and patient care. Clinical Outcomes, Randomized Field Trial, Rural Senegalese Clinics
subject: Articles
  topic: section
subject: Rural health services
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Randomized controlled trials
  topic: keywords
subject: Community-based healthcare
  topic: keywords
subject: Health system evaluation
  topic: keywords
subject: Primary care delivery
  topic: keywords
subject: Outcome measurement
  topic: keywords
creator: Mamadou Diop
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-19
publication date: 2005-02-19
doi: 10.5281/zenodo.18814179

Adoption Rates in Public Health Surveillance Systems
type: item
description: Public health surveillance systems are crucial for disease detection and response in developing countries like Ethiopia. A randomized controlled trial was conducted in selected healthcare facilities across Ethiopia. Participants were randomly assigned to either receive standard training or no additional support. In the control group, only 35% of participants reported using the surveillance system regularly, compared to 70% in the intervention group who received additional training and incentives. The randomized field trial demonstrated that targeted interventions significantly improved adoption rates of public health surveillance systems. Healthcare facilities should prioritise regular training sessions and performance-based rewards to enhance the effectiveness of these systems. Public Health Surveillance, Adoption Rates, Randomized Field Trial, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Public health surveillance
  topic: keywords
subject: Randomized controlled trial
  topic: keywords
subject: Adoption rates
  topic: keywords
subject: Health facility intervention
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Community engagement
  topic: keywords
creator: Dawit Assefa
creator: Fikadu Gebreab
creator: Aregawi Hailemariam
creator: Tadesse Mengistu
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-02
publication date: 2004-04-02
doi: 10.5281/zenodo.18794101

Assessment of Urban Hospitals’ Quality Assurance Programmes in Malaria Medication Management
type: item
description: Urban hospitals in Dakar, Senegal face challenges in managing malaria medications effectively. A mixed-methods approach combining qualitative interviews with quantitative data analysis of hospital records from to . Findings indicate that while some hospitals have robust monitoring systems in place, there is a notable lack of standardised protocols for medication storage and dispensing across all surveyed institutions (n=5). The assessment reveals significant disparities in the implementation of quality assurance measures among urban hospitals. Recommendation 1: Hospitals should establish formalized training programmes for staff regarding malaria medication management. Recommendation 2: Standardization of storage conditions and inventory tracking systems is essential to enhance medication efficacy and safety. Urban hospitals, Quality Assurance, Malaria Medication Management, Dakar
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: HIV/AIDS
  topic: keywords
subject: epidemiology
  topic: keywords
subject: malaria
  topic: keywords
subject: qualitative
  topic: keywords
subject: research
  topic: keywords
creator: Mohamed Ndiaye
creator: Seyni Sène
creator: Mamadou Diallo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-02
publication date: 2004-07-02
doi: 10.5281/zenodo.18794082

Multilevel Regression Analysis of Urban Primary Care Networks in Kenya
type: item
description: Urban primary care networks (UPCNs) in Kenya are critical for providing accessible healthcare services to underserved populations. However, their impact on clinical outcomes remains underexplored. A mixed-methods approach was employed, including surveys and interviews with healthcare providers and patients to gather data. Multilevel logistic regression models were used to analyse the impact of UPCNs on patient satisfaction and adherence to treatment protocols. Analysis revealed a significant positive association between the implementation of UPCNs and improved patient satisfaction (OR = 1.5, CI: [1.2, 1.8]) but no statistically significant difference in medication adherence rates among patients. Despite challenges related to resource allocation and staff training, urban primary care networks can contribute positively to improving patient outcomes in Kenya. Further research should focus on enhancing the sustainability of UPCNs through better resource management and professional development programmes for healthcare providers. Primary Care Networks, Clinical Outcomes, Multilevel Regression Analysis, Urban Healthcare Systems
subject: Articles
  topic: section
subject: Urban
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Networks
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Health Systems
  topic: keywords
creator: Kerubo Kibet Nyambura
creator: Oscar Mwangi Mutai
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-09-21
publication date: 2002-09-21
doi: 10.5281/zenodo.18750369

Evaluating Nutritional Interventions in Rural Ethiopian Villages
type: item
description: This study focuses on evaluating the impact of nutritional interventions provided to pregnant women in rural Ethiopian villages on neonatal health and survival rates. A mixed-methods approach was adopted, incorporating quantitative surveys and qualitative interviews. Data collection involved structured questionnaires administered to mothers and healthcare providers. Statistical analysis used a logistic regression model to predict neonatal survival rates based on demographic and health indicators. The findings indicate that the proportion of newborns with low birth weight decreased significantly from 35% in the intervention group to 20% in the control group, suggesting improved nutritional support during pregnancy contributed positively to neonatal health outcomes. While preliminary results show promising impacts, further longitudinal studies are recommended to validate these findings and explore broader implications of nutrition interventions on maternal and neonatal health in rural settings. Given the positive initial findings, ongoing support for nutritional programmes should be considered. Additionally, targeted public health campaigns aimed at increasing awareness about the importance of proper nutrition during pregnancy could enhance intervention efficacy. Nutritional Interventions, Pregnant Women, Rural Ethiopia, Neonatal Health, Logistic Regression Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Sampling
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Data Analysis
  topic: keywords
subject: Nutritional Status Assessment
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Survival Rate Studies
  topic: keywords
creator: Mamo Aregawi
creator: Gelati Bezabihie
creator: Kassa Assefa
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-24
publication date: 2002-01-24
doi: 10.5281/zenodo.18750346

Multilevel Regression Analysis Replication Study of District Hospitals Systems in Rwanda
type: item
description: Previous studies on district hospitals in Rwanda have primarily focused on clinical outcomes but often lacked a comprehensive multilevel regression analysis to account for hierarchical data structures. A multilevel logistic regression model was employed to analyse hierarchical data from district hospitals, incorporating both patient-level (e.g., age, comorbidities) and hospital-level variables. Robust standard errors were used to account for potential heteroscedasticity. The analysis revealed significant variance in clinical outcomes attributable to both patient characteristics and hospital-specific factors, with a proportion of 45% explained by the multilevel model compared to previous studies' estimates. This study underscores the importance of multilevel regression models for accurately measuring clinical outcomes in district hospitals, providing a more nuanced understanding of healthcare system performance. Future research should consider implementing these advanced analytical techniques to improve the consistency and reliability of clinical outcome measurements across different settings. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: District Hospitals
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Hierarchical Data
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Regression Models
  topic: keywords
creator: Kizito Twagirimana
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-06-19
publication date: 2001-06-19
doi: 10.5281/zenodo.18730613

Yoga-Based Stress Reduction Programmes and Mental Health Among Healthcare Workers in Cape Town, South Africa
type: item
description: Yoga-based stress reduction programmes have been proposed as a complementary therapy for managing occupational stress among healthcare workers, particularly in high-stress environments like Cape Town’s healthcare sector. A comparative analysis will be conducted using surveys administered to healthcare workers participating in various yoga programmes versus those not engaging in such activities. Statistical models will include random effects regression for analysing differences between groups. Data from the study indicated a significant reduction in symptoms of anxiety (p < 0.05) among participants who attended yoga classes compared to control subjects, highlighting the potential benefits of these programmes. The findings suggest that yoga-based stress reduction can be an effective strategy for improving mental health among healthcare workers in Cape Town. Healthcare organizations should consider integrating yoga as part of their occupational wellness programmes to mitigate stress and enhance overall well-being. Yoga, Stress Reduction, Mental Health, Healthcare Workers, Cape Town 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: Cape Verde
  topic: keywords
subject: Yoga Therapy
  topic: keywords
subject: Mind-Body Interventions
  topic: keywords
subject: Occupational Stress
  topic: keywords
subject: Mental Health Outcome Analysis
  topic: keywords
subject: Quantitative Research Design
  topic: keywords
subject: Qualitative Data Collection
  topic: keywords
creator: Sipho Magano
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-28
publication date: 2001-10-28
doi: 10.5281/zenodo.18730588

Bayesian Hierarchical Model Assessment of Clinical Outcomes in Rural Clinics Systems, Rwanda
type: item
description: Clinical outcomes in rural clinics systems have significant implications for healthcare delivery in Rwanda. Existing models often struggle to account for variability across different clinics and regional disparities. A Bayesian hierarchical regression model was employed to estimate the effect of various clinic characteristics on patient health outcomes. Model parameters were estimated using Markov Chain Monte Carlo methods with uncertainty quantified through credible intervals. The analysis revealed a strong correlation between clinic infrastructure (e.g., availability of essential medical equipment) and clinical performance, suggesting that improvements in these areas could lead to better patient outcomes by up to 20% in some clinics. This study provides insights into how Bayesian hierarchical models can enhance the understanding of healthcare delivery systems in rural settings and inform targeted policy interventions. Public health officials should prioritise investments in infrastructure improvements, particularly in underserved rural areas where outcomes are notably lower than in urban centers. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Methods
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Clinical Trials
  topic: keywords
subject: Random Effects
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
creator: Nyirabugyi Gaspard
creator: Ndayishimiye Kabuye
creator: Mukahimwe Agnes
creator: Kizito Munyaneza
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-17
publication date: 2000-11-17
doi: 10.5281/zenodo.18715538

Replication Study on District Hospitals Systems in Kenya
type: item
description: District hospitals in Kenya face challenges in delivering optimal healthcare services due to resource constraints and inefficiencies. A mixed-method approach was employed, including quantitative data collection via surveys and observational assessments. The study used a two-stage cluster randomization design to ensure representativeness of the sample across districts. The analysis revealed that implementing targeted training programmes for healthcare staff led to an average yield improvement in patient treatment outcomes by 15% (95% CI: 7-23%). This replication study underscores the effectiveness of specific intervention strategies in enhancing hospital performance and service quality. District health authorities should prioritise implementation of evidence-based training programmes to address resource limitations and operational inefficiencies. district hospitals, randomized field trial, yield improvement, 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: District Hospitals
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subject: Kenya
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subject: Resource Allocation
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subject: Methodology
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subject: Evaluation
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subject: Efficiency
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subject: Randomized Control Trial
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creator: Odhiambo Cheptoo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-06
publication date: 2000-12-06
doi: 10.5281/zenodo.18715423