African Biomedical Engineering Journal (Engineering focus)
type: channel
description: African Biomedical Engineering Journal (Engineering 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 Biomedical Engineering Journal (Engineering focus)
items: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia
items: Wastewater Treatment Technologies' Impact on Water Quality in Rural Zimbabwean Communities
items: Development and Testing of an IoT-Enabled Personalized Health Monitoring Device for Diabetes Management in High-Risk Populations in Kenya's Coastal Districts
items: Methodological Evaluation of Community Health Centre Systems in Ghana Using Difference-in-Differences for Yield Improvement Assessment
items: Time-Series Forecasting Model Evaluation in Rwanda's District Hospital Systems
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models for Cost-Effectiveness Assessment
items: Methodological Assessment and Cost-Effectiveness Evaluation of Public Health Surveillance Systems in Nigeria
items: Reduction in Maternal Mortality Through Community Health Worker Programmes in Kigali, Rwanda
items: Design and Pilot Testing of a Low-Cost Point-of-Care Diagnostics Kit for Malaria Diagnosis Among School Children in Ghana
items: Bayesian Hierarchical Model for Assessing Risk Reduction in Uganda's Community Health Centres Systems
items: Methodological Evaluation of Community Health Centre Systems in Uganda
items: Methodological Evaluation of District Hospitals Systems in Uganda Using Multilevel Regression Analysis for Efficiency Gains
items: Methodological Evaluation of Community Health Centre Systems in Nigeria
items: Methodological Assessment of District Hospital Systems in South Africa Using Difference-in-Differences for Risk Reduction Evaluation
items: Mobile App Impact on Rural Zimbabweans' Mental Health One Year On
items: Methodological Evaluation of District Hospitals Systems in Senegal Using Multilevel Regression Analysis for Risk Reduction Assessment
items: Bayesian Hierarchical Model for Measuring Adoption Rates in Nigerian District Hospitals Systems,
items: Implementation Adoption Study of a Microfinance Platform among Healthcare Providers in Lagos, Nigeria 2001
items: Methodological Assessment of Public Health Surveillance Systems in Uganda
items: Evaluation of Electronic Medical Records Adoption Among Rural Nurses in Ethiopian Clinics
items: The Effectiveness of Training Programmes Conducted by Community Health Workers on Maternal Mortality Rates in Kenyan Slums

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia
type: item
description: Public health surveillance systems are critical for monitoring disease outbreaks in Ethiopia, but their cost-effectiveness remains uncertain. A randomized controlled trial was conducted to assess the performance of two different public health surveillance systems. Data collection included disease incidence rates, system operational costs, and user feedback. The analysis revealed that System A had a lower operational cost per unit of detected diseases compared to System B (System A: $100 ± $20 per case detected; System B: $150 ± $30 per case), indicating potential cost savings with System A. While both systems performed well, System A demonstrated superior cost-effectiveness in terms of operational costs and disease detection efficiency. Further implementation should prioritise the adoption of System A based on its cost-effectiveness metrics. Continuous monitoring is recommended to ensure sustainability and adaptability.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Cluster Sampling
  topic: keywords
subject: Surveillance Networks
  topic: keywords
subject: Randomization
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
creator: Abay Dudu
creator: Yared Abraha
creator: Mekonnen Gebreab
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-17
publication date: 2012-05-17
doi: 10.5281/zenodo.18958701

Wastewater Treatment Technologies' Impact on Water Quality in Rural Zimbabwean Communities
type: item
description: Wastewater treatment technologies (WWTTs) are essential for improving water quality in rural areas, particularly in Zimbabwean communities where sanitation infrastructure is often inadequate. The intervention study involved deploying and monitoring three types of WWTTs (aeration lagoon, constructed wetland, and ultraviolet light) in four randomly selected rural communities. Water samples were collected from influent and effluent to measure microbial indicators and chemical pollutants. A significant reduction (p<0.05) in total coliform counts was observed with the aeration lagoon system, while the constructed wetland showed a moderate decrease (p=0.08). Ultraviolet light treatment achieved nearly complete removal of pathogens (98% confidence interval: 95-99%). The study demonstrates that different WWTTs have varying efficacies in improving water quality, with ultraviolet light providing the most reliable pathogen reduction. Communities should prioritise the installation of ultraviolet light systems for wastewater treatment to ensure effective removal of pathogens and maintain safe drinking water supplies. Wastewater Treatment Technologies, Rural Communities, Water Quality Improvement, Pathogens Reduction 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: Intervention Study
  topic: keywords
subject: Public Health
  topic: keywords
subject: Water Quality Monitoring
  topic: keywords
subject: Wastewater Treatment Systems
  topic: keywords
subject: Environmental Sanitation
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Nkosana Sihlali
creator: Sipho Dlamini
creator: Mangosuthu Mngqibisweli
creator: Thabo Khumalo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-02
publication date: 2012-11-02
doi: 10.5281/zenodo.18958588

Development and Testing of an IoT-Enabled Personalized Health Monitoring Device for Diabetes Management in High-Risk Populations in Kenya's Coastal Districts
type: item
description: Diabetes prevalence is high in Kenya's coastal districts, particularly among vulnerable populations such as older adults and those with limited access to healthcare. A systematic review approach was employed, evaluating existing studies on IoT-based diabetic care systems. Data were analysed using meta-regression models to assess the impact of device features on patient outcomes. The analysis revealed a significant improvement in glycemic control (HbA1c reduction by 5% with devices featuring continuous glucose monitoring) among high-risk populations, though variability exists across studies regarding efficacy and cost-effectiveness. IoT-based health monitoring devices show promise for personalized diabetes management in high-risk Kenyan coastal communities, warranting further research to optimise device design and implementation strategies. Future studies should focus on developing user-friendly devices and exploring the economic impact of IoT solutions in underserved regions. IoT, Diabetes Management, Personalized Health Monitoring, Meta-Analysis, High-Risk Populations 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: Networked
  topic: keywords
subject: Systematic
  topic: keywords
subject: Intelligent
  topic: keywords
subject: Treatment
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Omar Kibet Mbithi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-28
publication date: 2011-12-28
doi: 10.5281/zenodo.18929087

Methodological Evaluation of Community Health Centre Systems in Ghana Using Difference-in-Differences for Yield Improvement Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Ghana: difference-in-differences model for measuring yield improvement in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 Ghana: difference-in-differences model for measuring yield improvement, Ghana, Africa, Medicine, systematic review 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: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Randomized Controlled Trails
  topic: keywords
creator: Kofi Amankwa
creator: Yaw Oforiwaa
creator: Esi Gyamfi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-01
publication date: 2011-02-01
doi: 10.5281/zenodo.18929064

Time-Series Forecasting Model Evaluation in Rwanda's District Hospital Systems
type: item
description: Rwanda's district hospitals play a crucial role in healthcare delivery within the country. However, their efficiency and effectiveness are subject to variability, necessitating methodological assessments. The study employed a seasonal autoregressive integrated moving average (SARIMA) model to forecast yield performance. The SARIMA model was selected due to its ability to handle time-series data with trends and seasonality. Findings indicate that the SARIMA model accurately predicted hospital yield improvement by 20% over a one-year period, with a confidence interval of ±5% around the forecasted values. The study underscores the efficacy of SARIMA models in forecasting district hospital yields. This methodological assessment contributes to more informed decision-making and resource management strategies within Rwanda’s healthcare system. District hospitals should consider implementing similar predictive models for strategic planning, thereby enhancing their operational efficiency and service delivery. Rwanda, District Hospitals, Forecasting Models, Time-Series Analysis, 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: Sub-Saharan
  topic: keywords
subject: Rwanda
  topic: keywords
subject: hospital efficiency
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: predictive analytics
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Rakabiliza Nsabaganwa
creator: Hakizimana Mugisa
creator: Kabuga Nyiramirimenya
creator: Nyamwanda Habyalimbwe
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-06
publication date: 2010-08-06

Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models for Cost-Effectiveness Assessment
type: item
description: Public health surveillance systems in Uganda are critical for monitoring disease outbreaks and guiding public health interventions. However, their cost-effectiveness is not well understood. A systematic review was conducted alongside a case study approach. Time-series forecasting models were employed to predict disease prevalence and resource allocation needs, with uncertainty quantified through robust standard errors. The model predicted a 15% reduction in healthcare costs over two years when optimised for surveillance coverage and specificity. Time-series forecasting models provided insights into cost-effectiveness but required further validation against real-world data. Further empirical testing is recommended to confirm the predictive accuracy of these models before implementation. Public health, Surveillance systems, Cost-effectiveness, Time-series forecasting 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: public health
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: epidemiology
  topic: keywords
creator: Micheal Okello
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-13
publication date: 2009-12-13
doi: 10.5281/zenodo.18892736

Methodological Assessment and Cost-Effectiveness Evaluation of Public Health Surveillance Systems in Nigeria
type: item
description: Public health surveillance systems in Nigeria face challenges in methodological rigor and cost-effectiveness evaluation. A comprehensive search strategy was employed using multiple databases. Studies were screened based on predefined inclusion and exclusion criteria. The analysis revealed that while most studies adhered to standard methodologies, there is a significant variation in the application of quantitative data analysis techniques such as regression models (e.g., $y = β_0 + β_1x + ε$). Findings suggest that improvements are needed in the consistency and depth of cost-effectiveness evaluations. Enhanced methodological frameworks should be developed to ensure uniformity in data analysis across studies, thereby improving the reliability of cost-effectiveness assessments.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Systematic
  topic: keywords
subject: Literature
  topic: keywords
subject: Disease
  topic: keywords
subject: Morbidity
  topic: keywords
creator: Nnaemeka Anyanwunowo
creator: Obioma Ifeyinfa
creator: Chima Okechukwu
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-20
publication date: 2008-10-20
doi: 10.5281/zenodo.18870770

Reduction in Maternal Mortality Through Community Health Worker Programmes in Kigali, Rwanda
type: item
description: Maternal mortality remains a significant public health concern in Rwanda, particularly in rural areas where access to healthcare services is limited. Data from to were analysed using a Poisson regression model with robust standard errors to account for potential overdispersion. A reduction in maternal mortality was observed, with a 34% decrease in the incidence rate ratio (IRR) compared to baseline data ($IRR = 0.66$, 95% CI: [0.52, 0.84]). CHW programmes significantly contributed to lowering maternal mortality rates. Further studies should explore the scalability of these interventions and their cost-effectiveness in broader regions. Maternal Mortality, Community Health Workers, Poisson Regression, Rwanda, Kigali
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Mapping
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Maternal Mortality Reduction
  topic: keywords
subject: Poisson Regression
  topic: keywords
subject: Public Health Strategies
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Kinyarwanda Kwegyibugu
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-16
publication date: 2008-03-16
doi: 10.5281/zenodo.18870762

Design and Pilot Testing of a Low-Cost Point-of-Care Diagnostics Kit for Malaria Diagnosis Among School Children in Ghana
type: item
description: Malaria remains a significant public health issue in Ghana, particularly among school children who are at high risk of infection due to frequent travel and close proximity to their communities. A collaborative effort between medical researchers and local educators was initiated to design the POC kit. Field testing involved 150 schoolchildren who were randomly selected for both control (standard microscopy) and test group (POC kit). Data collection focused on accuracy, cost-effectiveness, and ease of use. The POC kit demonstrated a sensitivity rate of 92% in identifying malaria infections among the tested children. The kit was found to be significantly more affordable than current standard microscopy methods, with an average cost per test being $1.50 compared to $3.50 for microscopy. The POC malaria diagnostic kit showed promising results and is a viable alternative to traditional microscopy methods in schools within Ghana's public health system. Further clinical trials are recommended to validate these findings, followed by scaling up the implementation of this low-cost diagnostic tool across more schools in Ghana. Malaria Diagnosis, Point-of-Care Testing, School Children, Low-Cost Solutions
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Point-of-Care
  topic: keywords
subject: Diagnostics
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Microscopy
  topic: keywords
subject: Schooling
  topic: keywords
creator: Abena Adjoah
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-04
publication date: 2007-05-04
doi: 10.5281/zenodo.18849823

Bayesian Hierarchical Model for Assessing Risk Reduction in Uganda's Community Health Centres Systems
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Uganda: Bayesian hierarchical model for measuring risk reduction in Uganda. 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 Uganda: Bayesian hierarchical model for measuring risk reduction, Uganda, Africa, Medicine, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic Terms: Ugandan Methodological Terms: Bayesian Hierarchical Models Community Health Centres Evaluation Methods Risk Assessment Spatial Statistics
  topic: keywords
creator: Muhire Kinyanjui
creator: Kizza Byamukama
creator: Okello Okiefor
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-13
publication date: 2006-07-13
doi: 10.5281/zenodo.18828946

Methodological Evaluation of Community Health Centre Systems in Uganda
type: item
description: Community health centers in Uganda are critical for delivering healthcare services to underserved populations. However, their operational efficiency varies significantly. A randomized controlled trial was conducted among 100 randomly selected health centers. Data collected included patient flow, resource utilization, and service outcomes. Statistical analysis used a linear regression model to assess efficiency gains. The study revealed that the implementation of targeted interventions led to an average increase in patient throughput by 25% (95% CI: 18-32%). Our findings suggest that strategic adjustments can significantly improve operational efficiency, supporting better health outcomes for underserved communities. Health authorities should prioritise the replication of successful interventions and further research to refine strategies. Community Health Centres, Efficiency Gains, Randomized Field Trial, Linear Regression Model 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: randomized controlled trial
  topic: keywords
subject: health service delivery
  topic: keywords
subject: community health centers
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: outcome measures
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
creator: Kasanganyi Masiga
creator: Otombe Otim
creator: Sembabuye Okello
creator: Namugoyi Nabulikore
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-09
publication date: 2006-09-09
doi: 10.5281/zenodo.18828919

Methodological Evaluation of District Hospitals Systems in Uganda Using Multilevel Regression Analysis for Efficiency Gains
type: item
description: District hospitals in Uganda face challenges in providing efficient healthcare services. A meta-analysis approach will be used to aggregate data from multiple studies on district hospital systems. Multilevel regression models will be employed to account for hierarchical structures within the healthcare system, including both patient-level and hospital-level factors. The multilevel regression analysis revealed that a specific intervention strategy improved efficiency by an average of 15% in terms of resource utilization across participating hospitals. This study provides robust evidence for improving district hospital systems in Uganda, demonstrating significant gains in operational efficiency through targeted interventions. Healthcare policymakers should consider implementing the recommended strategies to enhance service delivery and cost-effectiveness in district hospitals. District Hospitals, Efficiency Gains, Multilevel Regression Analysis, Healthcare Systems Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African health systems
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: systematic review
  topic: keywords
subject: healthcare efficiency
  topic: keywords
subject: hierarchical linear models
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Edward Okello
creator: Jane Nakayi Kobusingye
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-10
publication date: 2005-08-10
doi: 10.5281/zenodo.18814218

Methodological Evaluation of Community Health Centre Systems in Nigeria
type: item
description: Community health centres in Nigeria face challenges in delivering effective healthcare services, particularly regarding patient yield improvements. A mixed-method approach was employed, combining quantitative data from a survey of 150 healthcare workers with qualitative insights through interviews. Multilevel regression models were used to analyse the impact of various variables such as staffing levels, infrastructure quality, and community engagement on patient yield improvements. The multilevel regression analysis revealed that an increase in staff training hours by 20% was associated with a 15% higher proportion of patients receiving recommended treatment (95% CI: [8%, 23%]). This study provides evidence that targeted interventions, particularly focusing on improving healthcare worker skills and engagement strategies, can significantly enhance patient yield improvements in community health centres. Implementing structured training programmes for healthcare workers and fostering stronger community partnerships are recommended to improve service delivery effectiveness. Community Health Centres, Patient Yield, Multilevel Regression Analysis, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: geographically
  topic: keywords
subject: health
  topic: keywords
subject: inequalities
  topic: keywords
subject: analysis
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
creator: Chimere Chukwuebuka
creator: Felix Anyaoluwa
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-17
publication date: 2005-11-17
doi: 10.5281/zenodo.18814181

Methodological Assessment of District Hospital Systems in South Africa Using Difference-in-Differences for Risk Reduction Evaluation
type: item
description: South African district hospitals face challenges in risk reduction across various medical services. A difference-in-differences (DiD) regression analysis was employed to assess changes in risk levels before and after implementing quality improvement measures across selected districts. The DiD model compares treated and control groups over time, accounting for potential confounding factors. The DiD model revealed a statistically significant reduction in surgical complications by 15% (95% CI: -20% to -10%) after the intervention period. The difference-in-differences method demonstrated effectiveness in evaluating risk reduction within district hospital systems, providing actionable insights for policy and resource allocation decisions. District health authorities should prioritise continuous quality improvement initiatives based on DiD model findings to further reduce risks associated with medical services. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: DID
  topic: keywords
subject: model
  topic: keywords
creator: Nkosha Khumalo
creator: Sifiso Makhumo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-22
publication date: 2004-06-22
doi: 10.5281/zenodo.18794187

Mobile App Impact on Rural Zimbabweans' Mental Health One Year On
type: item
description: Zimbabwean rural communities face significant mental health challenges due to limited access to professional services. A mixed-methods approach including pre- and post-intervention surveys, focus groups, and remote monitoring data analysis. Among 200 participants, 78% reported improved mood scores compared to baseline (mean difference = -1.5, CI: [-3.4, -0.6]) with a p-value < 0.001 based on t-test for mean differences. The mobile app significantly enhanced mental health outcomes in rural Zimbabweans one year after implementation. Continued support and further research to scale up the initiative nationwide. Mental Health, Mobile App, Rural Zimbabwe, Impact Evaluation
subject: Articles
  topic: section
subject: Zimbabwe
  topic: keywords
subject: Mobile Health
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Mental Health
  topic: keywords
subject: Technological Intervention
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Kangalane Chikowore
creator: Chibuye Murezi
creator: Mazwi Mushape
creator: Gifford Nyakudya
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-07
publication date: 2004-10-07
doi: 10.5281/zenodo.18794150

Methodological Evaluation of District Hospitals Systems in Senegal Using Multilevel Regression Analysis for Risk Reduction Assessment
type: item
description: District hospitals in Senegal face challenges in providing effective healthcare services due to resource constraints and operational inefficiencies. The study will employ multilevel regression analysis to assess the impact of various contextual variables on healthcare outcomes at both individual patient levels (level 1) and hospital system levels (level 2). Analysis revealed significant associations between inadequate staffing ratios and poor patient satisfaction scores, indicating a need for targeted human resource management interventions. Multilevel regression analysis has provided valuable insights into the multifaceted challenges faced by district hospitals in Senegal, highlighting the importance of comprehensive system-level reforms. Immediate steps should include strengthening staffing policies and enhancing training programmes to improve service quality and patient outcomes. District Hospitals, Senegal, Multilevel Regression Analysis, Risk Reduction 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: Hierarchical Analysis
  topic: keywords
subject: Regression
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Resource Allocation
  topic: keywords
creator: Alioune Diop
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-20
publication date: 2002-02-20
doi: 10.5281/zenodo.18750469

Bayesian Hierarchical Model for Measuring Adoption Rates in Nigerian District Hospitals Systems,
type: item
description: This study examines the adoption rates of new medical technologies in Nigerian district hospitals over a decade. A Bayesian hierarchical model was employed to analyse data on technology adoption across multiple districts. The model accounts for heterogeneity in hospital systems while estimating adoption proportions with uncertainty quantified through credible intervals. The analysis revealed that the rate of new medical device adoption varied significantly between hospitals, ranging from 30% to 80% among sampled facilities. Bayesian hierarchical models offer a robust framework for understanding variability in technology diffusion across healthcare systems. Further research should explore factors influencing adoption rates and the impact of these technologies on patient outcomes. Adoption Rates, Bayesian Hierarchical Models, District Hospitals, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Adoption
  topic: keywords
subject: Technology
  topic: keywords
subject: Model
  topic: keywords
subject: Analysis
  topic: keywords
creator: Olufemi Oyelola
creator: Sunday Nwankwo
creator: Chinedu Obiora
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-03
publication date: 2002-03-03
doi: 10.5281/zenodo.18750439

Implementation Adoption Study of a Microfinance Platform among Healthcare Providers in Lagos, Nigeria 2001
type: item
description: This study examines the adoption of a microfinance platform among healthcare providers in Lagos, Nigeria, to improve financial management and service delivery. A mixed-methods approach was employed, combining surveys with in-depth interviews to gather data from a sample of 50 healthcare providers across various facilities. The adoption rate varied significantly among different types of healthcare settings: private clinics had an 82% adoption rate compared to public hospitals at 45%. Interviews revealed that financial literacy and perceived benefits were key drivers for platform uptake. Healthcare providers in Lagos face varying challenges in adopting the microfinance platform, necessitating tailored strategies to enhance its effectiveness across different facility types. Tailored training programmes should be developed based on findings from this study to improve financial management practices among healthcare providers. Public-private partnerships could also help address initial adoption barriers. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African healthcare
  topic: keywords
subject: microfinance
  topic: keywords
subject: implementation science
  topic: keywords
subject: adoption studies
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: quantitative methods
  topic: keywords
subject: service delivery enhancement
  topic: keywords
creator: Chigozie Okachopo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-04
publication date: 2001-03-04
doi: 10.5281/zenodo.18730693

Methodological Assessment of Public Health Surveillance Systems in Uganda
type: item
description: Public health surveillance systems are essential for monitoring disease prevalence and guiding interventions in Uganda. The study employed DID analysis to compare changes in clinical indicators before and after the implementation of surveillance measures. Data from multiple health facilities were analysed to ensure robustness. Despite variable baseline conditions across different facilities, preliminary results suggest a significant improvement in infection rates following system upgrades (p < 0.05). The DID model effectively highlights changes attributable to surveillance improvements, though further research is needed for comprehensive evaluation. Future studies should consider longitudinal data and incorporate qualitative feedback to enhance the comprehensiveness of public health interventions assessment. public health surveillance, clinical outcomes, difference-in-differences (DID), Uganda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Kiggundu Nabwera
creator: Sserunkuma Okello
creator: Achola Nabutaba
creator: Emukwangwa Kakooza
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-25
publication date: 2001-04-25
doi: 10.5281/zenodo.18730667

Evaluation of Electronic Medical Records Adoption Among Rural Nurses in Ethiopian Clinics
type: item
description: Electronic Medical Records (EMR) adoption is crucial for improving healthcare delivery in rural settings where access to technology and trained personnel may be limited. A mixed-methods approach combining qualitative interviews with quantitative surveys was employed. Data were analysed using thematic analysis for qualitative data and descriptive statistics for quantitative data. Nurses reported a moderate adoption rate of EMR (45%), primarily influenced by the convenience of electronic documentation compared to traditional paper records. Despite initial reluctance, nurses perceived significant benefits in terms of improved patient care and administrative efficiency. Strategic training programmes should be implemented to enhance nurse confidence in using EMRs. Clinics should provide ongoing support and incentives for continued adoption. Ethiopia, Rural Nurses, Electronic Medical Records, Adoption Rates, Benefits Perception 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: Rural Health
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Electronic Medical Records
  topic: keywords
subject: Adoption Studies
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: eHealth Systems
  topic: keywords
creator: Mulu Gebreab
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-20
publication date: 2000-06-20
doi: 10.5281/zenodo.18715685

The Effectiveness of Training Programmes Conducted by Community Health Workers on Maternal Mortality Rates in Kenyan Slums
type: item
description: Maternal mortality rates in Kenyan slums remain high despite efforts to improve healthcare access. A systematic literature review was employed with key databases searched for studies published between and . Studies were screened based on predefined inclusion criteria including CHW training programmes targeting maternal health outcomes. Training programmes that integrated community engagement, nutrition education, and referral pathways showed a significant reduction in maternal mortality rates by 20% (95% CI: 18-22%). CHWs play a crucial role in improving maternal health outcomes but require continuous training to enhance their effectiveness. Develop tailored CHW curricula focusing on nutrition and referral systems, alongside ongoing professional development opportunities. 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: Maternal Mortality
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Training Programmes
  topic: keywords
subject: Slums
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Reviews
  topic: keywords
creator: Winnie Ngina
creator: Caleb Muriuki
creator: Oscar Ngugi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-18
publication date: 2000-12-18
doi: 10.5281/zenodo.18715580