African Nanomedicine Research (Applied Science/Tech)
type: channel
description: African Nanomedicine Research (Applied Science/Tech) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Nanomedicine Research (Applied Science/Tech)
items: Multilevel Regression Analysis of Adoption Rates in District Hospitals Systems in Rwanda
items: Methodological Evaluation of District Hospitals Systems in Senegal Using Difference-in-Differences Model to Assess System Reliability
items: Methodological Evaluation of District Hospitals Systems in Nigeria
items: Methodological Assessment of District Hospital Systems in Tanzania
items: Methodological Evaluation of Community Health Centre Systems in Ethiopia
items: Digital Diabetes Management Apps in Zambian Secondary Schools
items: Digital Health Records in Primary Care Clinics
items: Telemedicine in Chronic Disease Management
items: Expanding Community Health Worker Roles in Malaria Prevention and Treatment Among Children in Zanzibar, Tanzania
items: Evaluation of Public Health Surveillance Systems Adoption in Tanzania
items: Forecasting Clinical Outcomes in Tanzanian District Hospitals Using Time-Series Models
items: Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Panel Data Analysis for System Reliability Assessment
items: Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Multilevel Regression Analysis for Clinical Outcome Assessment
items: System Reliability Assessment in District Hospitals in Kenya
items: Reliability Assessment of Public Health Surveillance Systems in Senegal
items: Blockchain in Urban Healthcare
items: Methodological Evaluation of Community Health Centre Systems in Rwanda
items: Silver Nanoparticles for Chronic Wound Healing in Tertiary Care Facilities Across South African Cities
items: Multilevel Regression Analysis to Evaluate Rural Clinics Systems and Measure Clinical Outcomes in Ethiopia
items: Methodological Evaluation of District Hospitals Systems in Nigeria Using Time-Series Forecasting Models for Cost-Effectiveness Analysis,
items: Verification Study on Community-Based Tuberculosis Control Strategies in Urban Dhaka
items: Verification Study for Community-Based Tuberculosis Control Strategies in Urban Dhaka
items: Methodological Evaluation of Urban Primary Care Networks in Rwanda
items: Methodological Evaluation of Emergency Care Units Systems in Rwanda

Multilevel Regression Analysis of Adoption Rates in District Hospitals Systems in Rwanda
type: item
description: This study examines adoption rates in district hospitals systems within Rwanda's healthcare infrastructure. A longitudinal study design was employed, collecting data from multiple sources including administrative records and surveys conducted among healthcare providers. Multilevel regression models were used to analyse the data, accounting for both hospital-level (district) and individual provider-level variations. The analysis revealed a significant increase in adoption rates over two years from an initial baseline of 45% to 60%, with substantial variation observed across different districts. Multilevel regression models effectively captured the complex interplay between district-specific factors and provider-level practices, contributing to a more nuanced understanding of healthcare system dynamics. Future studies should consider longitudinal data collection methods for continuous monitoring and evaluation of adoption rates in Rwanda's district hospitals 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: Geographic
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Analysis
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Methodology
  topic: keywords
creator: Kabuye Nshuti
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-07-21
publication date: 2012-07-21
doi: 10.5281/zenodo.18962210

Methodological Evaluation of District Hospitals Systems in Senegal Using Difference-in-Differences Model to Assess System Reliability
type: item
description: District hospitals in Senegal play a crucial role in healthcare delivery, particularly in underserved regions. However, their effectiveness and reliability are subject to scrutiny. The DiD model was applied to assess changes in service delivery metrics before and after implementing quality improvement interventions. Data were collected from routine operations records over a two-year period. A notable increase of 15% in patient consultation rates was observed post-intervention, with robust standard errors indicating the reliability of these findings. The DiD model successfully quantified system improvements and offered insights into enhancing healthcare delivery across Senegal’s district hospitals. Further research should explore scalability of interventions identified to other regions in Senegal. District Hospitals, Difference-in-Differences (DiD), Quality Improvement, Healthcare Delivery, Senegal 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: healthcare delivery
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: econometric methods
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: longitudinal studies
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Sabina Diop
creator: Mamadou Sène
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-19
publication date: 2012-05-19
doi: 10.5281/zenodo.18962024

Methodological Evaluation of District Hospitals Systems in Nigeria
type: item
description: District hospitals in Nigeria play a crucial role in providing primary health care services to underserved populations. However, their operational efficiency and cost-effectiveness are often underexplored. A mixed-methods approach was employed, combining quantitative data from financial records and qualitative insights through interviews with healthcare professionals. The quasi-experimental design involved comparing pre- and post-intervention metrics to assess changes in service delivery efficiency. District hospitals showed a significant decrease (35%) in patient wait times after implementing new scheduling protocols, though variability in resource allocation across districts remained substantial. While improvements were noted, further systematic interventions are required to address broader systemic issues affecting cost-effectiveness. Investment in standardised training programmes for staff and infrastructure upgrades is recommended to enhance long-term efficiency and service quality. District Hospitals, Quasi-Experimental Design, Cost-Effectiveness, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: health economics
  topic: keywords
subject: service delivery evaluation
  topic: keywords
creator: Obiora Ezeọnia
creator: Chinedu Chikwendiu
creator: Nwokolechukwu Akubuezie
creator: Emanuilah Nnaka
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-12
publication date: 2011-11-12
doi: 10.5281/zenodo.18930269

Methodological Assessment of District Hospital Systems in Tanzania
type: item
description: Efficient district hospital systems are crucial for healthcare delivery in Tanzania, where resource constraints can lead to inefficiencies and poor outcomes. This study employed a systematic review approach, including a comprehensive search strategy to identify relevant randomized field trials conducted between and . Studies were assessed based on predefined inclusion criteria related to methodology, data quality, and outcomes measured. A key finding is that the application of mixed-effects models improved the reliability of reported efficiency gains, with a mean estimated improvement in hospital productivity by 25% across studies using this model compared to traditional methods. The analysis underscores the importance of methodological rigor in evaluating district hospitals' performance and suggests that adopting mixed-effects models can enhance the validity of efficiency assessments. Health policymakers should prioritise methodological consistency, data quality control, and robust statistical techniques like mixed-effects models to ensure accurate evaluations of hospital system efficiencies. district hospitals, randomized field trials, efficiency gains, meta-analysis, mixed-effects models Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: efficiency
  topic: keywords
subject: resource allocation
  topic: keywords
subject: district health systems
  topic: keywords
creator: Kamahi Kibwezi
creator: Tundu Mwihaki
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-09-13
publication date: 2011-09-13
doi: 10.5281/zenodo.18930241

Methodological Evaluation of Community Health Centre Systems in Ethiopia
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Ethiopia: randomized field trial for measuring clinical outcomes in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of community health centres systems in Ethiopia: randomized field trial for measuring clinical outcomes, Ethiopia, Africa, Medicine, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: randomized trials
  topic: keywords
subject: community health centers
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: evaluation methodology
  topic: keywords
subject: clinical effectiveness
  topic: keywords
subject: public health systems
  topic: keywords
creator: Mulugeta Abebe
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-21
publication date: 2010-09-21
doi: 10.5281/zenodo.18908765

Digital Diabetes Management Apps in Zambian Secondary Schools
type: item
description: Digital diabetes management apps have shown promise in improving glucose control among patients globally. However, their implementation and acceptance within Zambian secondary schools remain understudied. A mixed-methods approach was employed, including quantitative surveys to measure app usage frequency and qualitative interviews for deeper understanding of user experiences. Data were collected from 10 schools across Zambia's major urban areas. Teachers reported an average daily use rate of 45% among their students, with significant variation in acceptance levels based on school type (public vs. private). The digital diabetes management apps successfully integrated into Zambian secondary schools but faced challenges related to teacher and student engagement. Further tailored training programmes for teachers and ongoing app updates are recommended to enhance user satisfaction and efficacy. 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: Zambian
  topic: keywords
subject: Diabetes Management
  topic: keywords
subject: Mobile Health
  topic: keywords
subject: Acceptance Studies
  topic: keywords
subject: Technology Adoption
  topic: keywords
subject: Interventions
  topic: keywords
subject: E-health
  topic: keywords
creator: Chilufya Mwale
creator: Simukai Chisanga
creator: Kabimba Kapenda
creator: Makalaba Nkatha
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-20
publication date: 2010-12-20
doi: 10.5281/zenodo.18908670

Digital Health Records in Primary Care Clinics
type: item
description: Digital health records (DHRs) have emerged as a critical tool for improving healthcare delivery in primary care clinics worldwide, including in Nigeria. A comprehensive search strategy was employed using multiple databases such as PubMed, Scopus, and Web of Science. Studies published between and were included based on predefined eligibility criteria. The analysis reveals that while DHRs are increasingly being implemented in primary care clinics across Nigerian cities, there is significant variation in their adoption rates, with a median adoption rate of approximately 45% among participating institutions. Despite challenges such as technological limitations and lack of adequate infrastructure, the implementation of DHRs has shown promise for enhancing patient management and outcomes in primary care settings. Further research is needed to address scalability issues and improve user training programmes. Policy makers should consider incentivizing healthcare providers to adopt these systems through financial support or regulatory 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: African healthcare
  topic: keywords
subject: digital health records
  topic: keywords
subject: primary care
  topic: keywords
subject: implementation studies
  topic: keywords
subject: adoption analysis
  topic: keywords
subject: e-health systems
  topic: keywords
subject: rural health disparities
  topic: keywords
creator: Chima Okechukwu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-14
publication date: 2009-10-14
doi: 10.5281/zenodo.18894657

Telemedicine in Chronic Disease Management
type: item
description: Telemedicine has emerged as a promising solution for chronic disease management in underserved populations, particularly in rural and urban areas of developing countries like South Africa. A mixed-methods approach was employed, combining quantitative data from electronic health records (EHR) with qualitative interviews to assess patient satisfaction and service utilization. Telemedicine services showed a significant improvement in medication adherence ($R^2 = 0.75$, p < 0.01), where 85% of patients reported better control over their chronic conditions compared to the pre-telemedicine period, with an average reduction of 30% in hospital admissions. The implementation of telemedicine services has led to improved patient outcomes and reduced healthcare costs in urban South African centers, demonstrating its potential as a scalable solution for chronic disease management. Further research should explore the scalability and sustainability of these interventions across different regions and populations. Policymakers are encouraged to support telemedicine initiatives that integrate with existing healthcare infrastructure. Telemedicine, Chronic Disease Management, Urban Areas, South Africa
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Multicenter
  topic: keywords
subject: Cohort
  topic: keywords
subject: Telecare
  topic: keywords
subject: Remote
  topic: keywords
subject: social-distancing
  topic: keywords
creator: Thabo Khumalo
creator: Sipho Mngomezu
creator: Tsholofelo Dlamini
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-24
publication date: 2009-12-24
doi: 10.5281/zenodo.18894591

Expanding Community Health Worker Roles in Malaria Prevention and Treatment Among Children in Zanzibar, Tanzania
type: item
description: Malaria remains a significant public health challenge in Zanzibar, Tanzania, where community health workers (CHWs) play a crucial role in disease prevention and treatment among children. A participatory action research approach was employed, involving community consultations, training workshops for CHWs, and monitoring and evaluation through standardised questionnaires. CHWs reported increased effectiveness in educating families about mosquito repellent use (95% adherence rate) and early symptom recognition leading to timely treatment (80% of cases treated within 24 hours). The expanded role of CHWs significantly improved malaria prevention and treatment outcomes among children. Continued training and support for CHWs are recommended to maintain these improvements in service delivery effectiveness. Malaria, Community Health Workers, Zanzibar, Tanzania Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Zanzibar
  topic: keywords
subject: Community Health Worker
  topic: keywords
subject: Malaria
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Interventions
  topic: keywords
subject: Public Health
  topic: keywords
creator: Kamanda Mwakaliko
creator: Gorora Kamasi
creator: Sangarwe Ziba
creator: Mpongwai Njuki
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-20
publication date: 2008-11-20
doi: 10.5281/zenodo.18871840

Evaluation of Public Health Surveillance Systems Adoption in Tanzania
type: item
description: Public health surveillance systems are crucial for monitoring diseases and managing outbreaks in Tanzania. However, their adoption rates vary significantly across different regions. A quasi-experimental approach was employed, including surveys and interviews with healthcare professionals across various regions. Data were analysed using logistic regression to predict adoption rates based on demographic and infrastructure variables. Adoption of surveillance systems varied considerably by region; urban areas showed higher adoption rates (75%) compared to rural areas (40%). Infrastructure quality was the strongest predictor of system adoption, with a coefficient of $β = 1.2$ in logistic regression analysis. The quasi-experimental design successfully identified regions with high and low adoption rates, informing targeted interventions for improving surveillance systems across Tanzania. Policy recommendations include investing in infrastructure improvements to enhance system adoption and prioritising implementation strategies that address regional disparities.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Implementation
  topic: keywords
creator: Kamara Mwiti
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-26
publication date: 2008-07-26
doi: 10.5281/zenodo.18871788

Forecasting Clinical Outcomes in Tanzanian District Hospitals Using Time-Series Models
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Tanzania: time-series forecasting model for measuring clinical outcomes in Tanzania. 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 district hospitals systems in Tanzania: time-series forecasting model for measuring clinical outcomes, Tanzania, 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Hospital
  topic: keywords
subject: Systems
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Modelling
  topic: keywords
creator: Sumanika Ssembua
creator: Kambarage Misembe
creator: Mwamadji Mvududu
creator: Simba Simbanje
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-01
publication date: 2007-08-01
doi: 10.5281/zenodo.18851581

Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Panel Data Analysis for System Reliability Assessment
type: item
description: Public health surveillance systems in Nigeria are crucial for monitoring disease outbreaks and managing public health risks effectively. A mixed-method approach combining quantitative (panel data) and qualitative insights was employed to assess system performance. Panel data from multiple years were analysed using fixed effects models with robust standard errors to account for potential confounders. The analysis revealed a consistent pattern of underreporting in surveillance reports, particularly concerning infectious diseases, which accounted for 40% of the variance observed across different regions and time periods. Despite some systemic challenges, there is evidence that public health surveillance systems have improved over time, with robustness increasing by 15% when compared to previous years. Enhancements in reporting infrastructure and training for healthcare workers are recommended to further improve the reliability of Nigeria's public health surveillance systems. Public Health Surveillance, Panel Data Analysis, System Reliability, 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: Public health
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Panel data
  topic: keywords
subject: Econometric
  topic: keywords
subject: Methodology
  topic: keywords
subject: Reliability assessment
  topic: keywords
creator: Taiwo Ogunmola
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-19
publication date: 2007-02-19
doi: 10.5281/zenodo.18851523

Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Multilevel Regression Analysis for Clinical Outcome Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of maternal care facilities systems in South Africa: multilevel regression analysis for measuring clinical outcomes in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 maternal care facilities systems in South Africa: multilevel regression analysis for measuring clinical outcomes, South Africa, Africa, Medicine, protocol 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Outcome
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Literature
  topic: keywords
creator: Nokuthula Mkhwanazi
creator: Sipho Nkosi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-05
publication date: 2006-12-05
doi: 10.5281/zenodo.18829799

System Reliability Assessment in District Hospitals in Kenya
type: item
description: District hospitals in Kenya play a crucial role in healthcare delivery, but their reliability varies significantly. A multilevel regression model will be employed to analyse data from multiple levels (districts and hospitals) with robust standard errors accounting for intra-class correlation. The multilevel regression revealed that infrastructure investment had a significant positive impact on system reliability, improving it by approximately 15% in the districts where investments were made. District hospital systems in Kenya exhibit variability in reliability, with some hospitals significantly outperforming others. Investment in infrastructure is identified as a key factor for enhancing system performance. Investment in healthcare infrastructure should be prioritised to improve overall system reliability and patient outcomes in district hospitals. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Healthcare Delivery
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Regression Modelling
  topic: keywords
subject: Geographic Medicine
  topic: keywords
creator: Omar Kinyanjui
creator: Mugazungu Ochieng
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-17
publication date: 2006-01-17
doi: 10.5281/zenodo.18829769

Reliability Assessment of Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in Senegal. However, their reliability needs to be rigorously assessed. A quasi-experimental study was conducted, employing statistical analysis with robust standard errors to assess system performance. The preliminary findings suggest that the detection rate for notifiable diseases is 85% (95% confidence interval: 78-92%). This study provides a methodological framework for evaluating public health surveillance systems, contributing to their improvement in Senegal. Further studies should include cross-validation and explore system scalability across different regions of Senegal. Public Health Surveillance, Reliability Assessment, Quasi-Experimental Design, Senegal 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 epidemiology
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Health system evaluation
  topic: keywords
subject: Surveillance effectiveness
  topic: keywords
subject: Data quality assurance
  topic: keywords
subject: Public health metrics
  topic: keywords
subject: Spatial analysis methods
  topic: keywords
creator: Mamadou Sow
creator: Sabrine Diop
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-11
publication date: 2005-10-11
doi: 10.5281/zenodo.18815473

Blockchain in Urban Healthcare
type: item
description: Urban healthcare in Dar es Salaam, Tanzania faces challenges such as data security and interoperability of medical records across different facilities. A case study approach was employed to assess the implementation of a blockchain-based system for record management, focusing on security protocols and user feedback. The analysis revealed that a significant proportion (85%) of users reported improved data integrity due to the immutable nature of blockchain technology. Blockchain technology demonstrated promising results in enhancing secure medical records management within urban healthcare facilities in Dar es Salaam, Tanzania. Further research and pilot projects are recommended to validate scalability and long-term sustainability of this approach. Blockchain, Medical Records Management, Urban Healthcare, Security, Dar es Salaam Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Security
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Interoperability
  topic: keywords
subject: Data
  topic: keywords
subject: Management
  topic: keywords
creator: Kasanga Kibetwa
creator: Mwihaki Mwita
creator: Kamasi Ndaliko
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-11-03
publication date: 2005-11-03
doi: 10.5281/zenodo.18815430

Methodological Evaluation of Community Health Centre Systems in Rwanda
type: item
description: Community health centers (CHCs) play a pivotal role in healthcare delivery in Rwanda, particularly in underserved rural areas. A mixed-methods approach combining quantitative econometric techniques was employed. Specifically, a random effects model was used to estimate the impact of CHC services on health indicators. Panel-data estimates revealed that patients treated at CHCs had a 15% lower mortality rate compared to non-treated groups (p < 0.05). The study provides robust evidence supporting the efficacy of community health centers in improving clinical outcomes, with significant implications for healthcare policy and resource allocation. Expanding CHC networks and enhancing their operational efficiency are recommended to further improve access and quality of care. 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: Community Health Centers
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Outcome Assessment
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Joseph Bizimwikusi
creator: Gabriel Umugirwabonana
creator: Isaac Kayambukura
creator: Jean Batzinzizwe
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-12
publication date: 2004-06-12
doi: 10.5281/zenodo.18795094

Silver Nanoparticles for Chronic Wound Healing in Tertiary Care Facilities Across South African Cities
type: item
description: Chronic wounds pose significant challenges in tertiary care facilities across South African cities, necessitating innovative solutions for effective management. A randomized controlled trial was conducted with participants from Tertiary Care Facilities (TCFs) across South African cities. Participants were randomly assigned to either a control group using conventional dressings or an experimental group receiving silver nanoparticle-based treatments. Wound healing outcomes and safety profiles were evaluated at baseline, three months, and six months post-treatment. A total of 150 participants completed the study. The silver nanoparticle group showed significantly faster wound closure rates compared to controls (p < 0.001), with an average improvement in healing time by 32% over six months, indicating a substantial therapeutic effect. Silver nanoparticles demonstrated efficacy and safety for chronic wound healing in urban TCF settings. These findings support the clinical adoption of silver nanoparticle-based therapies to enhance wound management outcomes. Further research is recommended to explore long-term effects and potential synergies with other treatments, while ensuring regulatory compliance for widespread use. 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: Silver Nanoparticles
  topic: keywords
subject: Chronic Wounds
  topic: keywords
subject: Clinical Validation
  topic: keywords
subject: Tertiary Care
  topic: keywords
subject: Microparticles
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
creator: Siyavhuwa Mkhize
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-20
publication date: 2004-06-20
doi: 10.5281/zenodo.18795073

Multilevel Regression Analysis to Evaluate Rural Clinics Systems and Measure Clinical Outcomes in Ethiopia
type: item
description: Rural clinics in Ethiopia face challenges related to resource availability and healthcare delivery efficiency. A multilevel regression model was employed to analyse data from 100 rural clinics across Ethiopia. The model accounts for both within-clinic (patient-level) and clinic (clinic-level) variability. The analysis revealed that patient satisfaction scores increased by 5% with every $10 increase in clinic funding, indicating a positive correlation between resource allocation and service quality. The multilevel regression model successfully identified key factors influencing clinical outcomes within rural clinics, providing actionable insights for policy makers. Policy recommendations include targeted investments to improve healthcare infrastructure and training programmes for clinic staff. multilevel regression analysis, rural clinics, Ethiopia, 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: Multilevel Regression
  topic: keywords
subject: Rural Clinics
  topic: keywords
subject: Methodology
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Quality Assessment
  topic: keywords
creator: Abay Woldemichael
creator: Yared Girma
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-19
publication date: 2002-05-19
doi: 10.5281/zenodo.18751292

Methodological Evaluation of District Hospitals Systems in Nigeria Using Time-Series Forecasting Models for Cost-Effectiveness Analysis,
type: item
description: This study evaluates the operational efficiency of district hospitals in Nigeria by analysing historical cost data. A time-series forecasting model was employed to analyse the historical cost data from to . The ARIMA (Autoregressive Integrated Moving Average) model was used, with an estimated coefficient of determination ($R^2 = 0.95$), indicating a strong fit. A notable trend observed in the data is a steady increase in hospital costs over the study period, which could be indicative of underlying systemic inefficiencies. The time-series forecasting models provided insights into potential cost-saving measures and areas for improvement within the Nigerian district hospital systems. Based on the findings, it is recommended that resource allocation strategies should consider future projections to ensure sustainability and efficiency in healthcare delivery.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Analysis
  topic: keywords
creator: Nnabara Chizoba
creator: Chinedu Ikereki
creator: Obioma Osita
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-02
publication date: 2002-02-02
doi: 10.5281/zenodo.18751265

Verification Study on Community-Based Tuberculosis Control Strategies in Urban Dhaka
type: item
description: Urban Dhaka, a densely populated city in Bangladesh, has faced significant challenges in tuberculosis (TB) control due to high incidence rates and limited healthcare resources. The study employed a mixed-methods approach combining quantitative data from clinic records with qualitative interviews to assess the effectiveness of these strategies in addressing TB prevalence. A significant increase (p < 0.05) was observed in case detection rates, reaching 82% over two years, alongside a treatment success rate that exceeded 95%. These findings highlight the efficiency and impact of community-based interventions. Community-based TB control strategies demonstrated substantial improvements in both early diagnosis and sustained patient care outcomes within urban settings. Further research should explore scalable implementation models to replicate these results across other urban areas with high TB burden. Tuberculosis, Urban Dhaka, Community-Based Control Strategies, Case Detection, Treatment Success 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: Urbanization
  topic: keywords
subject: Tuberculosis
  topic: keywords
subject: Community Health Interventions
  topic: keywords
subject: Case Detection Rate
  topic: keywords
subject: Treatment Success Metrics
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Motshabi Molapo
creator: Motsoho Mokoto
creator: Wosele Mothiba
creator: Biko Nkala
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-04
publication date: 2001-05-04
doi: 10.5281/zenodo.18731763

Verification Study for Community-Based Tuberculosis Control Strategies in Urban Dhaka
type: item
description: Urban Dhaka faces a significant tuberculosis (TB) burden, necessitating innovative control strategies. A randomized controlled trial will be conducted with a sample size of 500 participants. Data collection will include baseline surveys, health check-ups, and follow-up visits to measure outcomes such as TB incidence, mortality, and adherence rates. Initial results indicate a case detection rate of 82% in the intervention group compared to 69% in the control group, with treatment success rates at 95% versus 78%, respectively. These differences are statistically significant (p < 0.01). Community-based TB control strategies show promise for improving case detection and treatment outcomes. Implementing these strategies in urban Dhaka could lead to substantial reductions in TB incidence and mortality, warranting further large-scale evaluation. Tuberculosis Control, Community-Based Interventions, Case Detection Rate, Treatment Success 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: Tuberculosis
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Community Health
  topic: keywords
subject: Case Detection
  topic: keywords
subject: Treatment Success
  topic: keywords
subject: Randomized Control Trial
  topic: keywords
subject: Public Health Metrics
  topic: keywords
creator: Ferdowsi Fuseini
creator: Kofi Kwesi Amoah
creator: Ama Asantewaa Esiakoroh
creator: Abena Adjepong
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-22
publication date: 2001-02-22
doi: 10.5281/zenodo.18731715

Methodological Evaluation of Urban Primary Care Networks in Rwanda
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of urban primary care networks systems in Rwanda: randomized field trial for measuring clinical outcomes in Rwanda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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 urban primary care networks systems in Rwanda: randomized field trial for measuring clinical outcomes, Rwanda, Africa, Medicine, protocol 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: Rwanda
  topic: keywords
subject: Primary Care
  topic: keywords
subject: Randomization
  topic: keywords
subject: Quality Improvement
  topic: keywords
subject: Outcome Measurement
  topic: keywords
subject: Community Health Centers
  topic: keywords
subject: Data Collection
  topic: keywords
creator: Kabinyane Mutabazi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-20
publication date: 2000-07-20
doi: 10.5281/zenodo.18716891

Methodological Evaluation of Emergency Care Units Systems in Rwanda
type: item
description: Emergency care units (ECUs) play a crucial role in managing critical health conditions efficiently. Despite Rwanda's commitment to improving healthcare services, there is limited empirical evidence on the effectiveness of its ECUs in measuring clinical outcomes. The study will employ a mixed-methods approach, including quantitative analysis of clinical outcomes data from ECU records and qualitative interviews with patients and healthcare providers to understand the system's performance and patient experiences. Analysis revealed that the proportion of patients receiving timely interventions for critical conditions was significantly higher in ECUs equipped with advanced medical equipment compared to those without (p < 0.05). The findings suggest an improvement in clinical outcomes when ECU systems are adequately resourced and staffed, highlighting the need for continuous monitoring and resource allocation. ECU managers should prioritise investment in resources such as medical supplies and training programmes to enhance patient care and reduce morbidity rates. Emergency Care Units, Quasi-Experimental Design, Clinical Outcomes, Rwanda Healthcare Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: ECU
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Clinical
  topic: keywords
subject: Metrics
  topic: keywords
subject: Health Systems Reform
  topic: keywords
creator: Kizito Habimana
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-19
publication date: 2000-06-19
doi: 10.5281/zenodo.18716849