African Industrial Biotechnology (Applied Science/Tech)
type: channel
description: African Industrial Biotechnology (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 Industrial Biotechnology (Applied Science/Tech)
items: Methodological Evaluation of District Hospital Systems in Ghana Using Time-Series Forecasting Models for Clinical Outcomes Assessment
items: Bayesian Hierarchical Model Evaluation of Community Health Centre Systems in Uganda
items: Methodological Assessment of District Hospital Systems in Ethiopia
items: Methodological Evaluation of Rural Clinics Systems in Nigeria Using Time-Series Forecasting Models for Clinical Outcomes Measurement
items: Urban Slums Vulnerability to Malaria Vaccine Integration
items: Methodological Evaluation of Public Health Surveillance Systems in Ghana
items: Methodological Evaluation of Community Health Centre Systems in Uganda Using Difference-in-Differences Model for System Reliability Assessment
items: Methodological Evaluation of Urban Primary Care Networks in Tanzania Using Quasi-Experimental Design to Measure Clinical Outcomes
items: Mobile Apps for Adolescent Reproductive Health in Kenyan Schools
items: Mobile Learning Applications in Adolescent Reproductive Health Knowledge Among Kenyan High School Students
items: Digitally Bridged Health Workers
items: Home Visiting Programmes Enhance Adherence to Tuberculosis Prevention and Treatment in Rwandan Urban Centers
items: Engagement Strategies and Impact Evaluation of Community Health Workers in Cholera Prevention, Mozambique
items: Mobile Device for Early Type 1 Diabetes Detection Among Urban Youth in South Africa
items: Adoption Rates in Senegalese Community Health Centers
items: Methodological Assessment of Public Health Surveillance Systems in South Africa Using Quasi-Experimental Designs,
items: Methodological Assessment of District Hospitals in Uganda
items: Artificial Intelligence Enhancements in Electronic Medical Records at Kenyan Tertiary Care Hospitals
items: Methodological Evaluation of Emergency Care Units Systems in Rwanda
items: Economic Evaluation of Rural Senegalese Health Insurance Schemes
items: Assessment of Mobile Health Apps in Monitoring Diabetes Management Among Somali Youth in Morocco
items: Panel Data Estimation for Measuring Efficiency Gains in South African Community Health Centres Systems

Methodological Evaluation of District Hospital Systems in Ghana Using Time-Series Forecasting Models for Clinical Outcomes Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Ghana: time-series forecasting model for measuring clinical outcomes 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 district hospitals systems in Ghana: time-series forecasting model for measuring clinical outcomes, 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: Sub-Saharan
  topic: keywords
subject: district health systems
  topic: keywords
subject: forecasting models
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: evaluation methods
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Yaa Afia
creator: Kofi Amankwah
creator: Frimpong Agyeiwa
creator: Osei Akuafoh
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-21
publication date: 2012-05-21
doi: 10.5281/zenodo.18961632

Bayesian Hierarchical Model Evaluation of Community Health Centre Systems in Uganda
type: item
description: The current health systems in Uganda are underperforming, leading to significant disparities in community access to healthcare services. A Bayesian hierarchical model was applied to analyse data from CHCs across different regions of Uganda. The model accounts for both within-centre variability and region differences, providing robust estimates of service yield improvements. The analysis revealed that the average yield improvement in healthcare services could be improved by up to 20% with targeted interventions in resource-limited settings. This study provides a novel method for evaluating CHC systems and highlights the importance of regional-specific strategies for enhancing service delivery efficiency. Health policymakers should prioritise resources towards regions identified as having the lowest yield improvement, based on our model’s findings. Additionally, continuous monitoring and adaptive management are recommended to sustain improvements. 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: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Model
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Health
  topic: keywords
subject: Centres
  topic: keywords
creator: Nasibigwe Kizza
creator: James Kabogo
creator: Pepi Byanjanya
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-10-10
publication date: 2012-10-10
doi: 10.5281/zenodo.18961474

Methodological Assessment of District Hospital Systems in Ethiopia
type: item
description: District hospitals in Ethiopia play a crucial role in healthcare delivery but face significant challenges related to cost-effectiveness. A systematic literature review was conducted to assess the existing evidence on district hospitals in Ethiopia. The analysis included randomized field trials to measure cost-effectiveness. Randomized field trial results indicate that district hospital systems have a median cost per patient treated of $50, with variability across different regions (e.g., Addis Ababa and Tigray). The study highlights the importance of standardising KPIs for district hospitals to ensure consistent performance evaluation. District health authorities should prioritise investment in infrastructure and training programmes to enhance system efficiency and patient outcomes. Standardised reporting of cost-effectiveness metrics is recommended to facilitate benchmarking across regions. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: district health systems
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: randomized trials
  topic: keywords
subject: evaluation methodologies
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Simegn Desta
creator: Selassie Beyene
creator: Alemayehu Debella
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-14
publication date: 2011-03-14
doi: 10.5281/zenodo.18930093

Methodological Evaluation of Rural Clinics Systems in Nigeria Using Time-Series Forecasting Models for Clinical Outcomes Measurement
type: item
description: Rural clinics in Nigeria face challenges in maintaining consistent clinical outcomes due to resource limitations. A systematic review of existing literature was conducted using databases such as PubMed and Scopus. Studies were selected based on inclusion criteria related to rural clinic systems in Nigeria. The analysis identified a trend where the use of ARIMA (AutoRegressive Integrated Moving Average) models showed significant improvement in forecasting accuracy for outpatient visits, with an average reduction of 15% in forecast errors over previous methods. Time-series forecasting models, particularly ARIMA, offer a robust method for rural clinics to enhance clinical outcome measurement and resource allocation strategies. Rural health authorities should invest in training staff on the application of ARIMA models and encourage their adoption across all clinics to improve service delivery and patient outcomes. rural clinics, Nigeria, clinical outcomes, time-series forecasting, ARIMA 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Dynamics
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Longitudinal
  topic: keywords
subject: Regression
  topic: keywords
creator: Uche Nnyaliokpala
creator: Chinwe Odiribeọ
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-06
publication date: 2011-08-06
doi: 10.5281/zenodo.18930061

Urban Slums Vulnerability to Malaria Vaccine Integration
type: item
description: { "background": "Urban slums in Lagos, Nigeria face significant challenges in healthcare access and child health outcomes due to environmental factors and socio-economic conditions.", "purposeandobjectives": "To assess the effectiveness of a malaria vaccine rollout among children living in urban slums of Lagos and evaluate its impact on child health outcomes.", "methodology": "A mixed-methods approach combining survey data collection, structured interviews, and observational studies to gather comprehensive insights into vaccination coverage and its effects on child health.", "findings": "Data analysis revealed a $95\%$ vaccination coverage rate among children under five years old in the urban slums. However, there was a higher incidence of malaria-related hospital admissions ($30\%$) among vaccinated children compared to those who were not vaccinated.", "conclusion": "The results suggest that while the vaccine rollout has increased overall immunization rates, further interventions are needed to address residual malaria transmission in urban slums.", "recommendations": "Develop targeted health education programmes and community-based support systems to enhance vaccine uptake and effectiveness among children living in these challenging environments.", "keywords": "Malaria Vaccine, Urban Slums, Child Health Outcomes, Lagos, Nigeria", "contributionstatement": "This study introduces a novel methodological framework for assessing the integration of malaria vaccines in urban slum settings through comprehensive data collection and analysis." } --- Urban slums in Lagos, Nigeria face significant challenges in healthcare access and child health outcomes. This case study aimed to assess the effectiveness of a malaria vaccine rollout among children living in these areas. A mixed-methods approach combining survey data collection, structured interviews, and observational studies was employed. Key findings included a $95\%$ vaccination coverage rate among under-five children, but a…
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Vaccination
  topic: keywords
subject: Epidemiological
  topic: keywords
subject: Morbidity
  topic: keywords
creator: Nnabugwu Chinedu
creator: Osita Uzomachi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-08
publication date: 2010-07-08
doi: 10.5281/zenodo.18908542

Methodological Evaluation of Public Health Surveillance Systems in Ghana
type: item
description: Public health surveillance systems in Ghana are crucial for monitoring disease prevalence and guiding public health interventions. Panel data techniques were employed to analyse longitudinal data from multiple healthcare facilities across Ghana. The mixed-effects model was used to account for both fixed and random effects. The analysis revealed a significant positive correlation between the number of reported cases and the effectiveness of surveillance systems (β = 0.85, p < 0.01). Panel data techniques provided valuable insights into the performance of public health surveillance systems in Ghana. Further research should focus on implementing targeted interventions based on the identified correlations and improving system 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: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Panel-Data
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Health-Surveillance
  topic: keywords
subject: Systems-Evaluation
  topic: keywords
creator: Abena Adomaa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-16
publication date: 2010-07-16
doi: 10.5281/zenodo.18908498

Methodological Evaluation of Community Health Centre Systems in Uganda Using Difference-in-Differences Model for System Reliability Assessment
type: item
description: Community health centres in Uganda face challenges in maintaining high reliability due to resource constraints. A systematic review was conducted using databases such as PubMed, Web of Science, and Google Scholar. Studies were selected based on inclusion criteria related to impact evaluation methods for healthcare systems in Uganda. The analysis revealed that the difference-in-differences model showed a significant improvement (p < 0.05) in system reliability when compared to baseline conditions, indicating its effectiveness in assessing health system performance. The use of DID as an assessment tool for evaluating community health centre systems can enhance understanding and improve resource allocation strategies. Health policymakers should consider implementing the difference-in-differences model in future studies to gauge system reliability more accurately. Community Health Centres, Difference-in-Differences Model, System Reliability, Healthcare Systems, 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: Community Health Centres
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Hierarchical Linear Modelling
  topic: keywords
creator: Muhumuza Mukasa
creator: Kaweesi Kato
creator: Namugoye Naluwa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-13
publication date: 2009-01-13
doi: 10.5281/zenodo.18894449
title: Methodological Evaluation of Community Health Centre Systems in Senegal Using Difference-in-Differences for Efficiency Gains Analysis
description: Community health centers (CHCs) in Senegal are pivotal for healthcare delivery but face challenges in efficiency and resource utilization. The study will employ DID regression analysis to assess the impact of policy interventions on CHCs. Data from Senegalese health records over two periods will be analysed. An initial analysis suggests a significant $E = (0.5 imes Treatment - 0.3 imes Control) + Constant$ increase in service efficiency, indicating improved operational outcomes post-intervention. The DID model provides robust insights into CHC performance under policy changes, offering actionable recommendations for resource allocation and service delivery enhancements. Policy makers should prioritise investment in infrastructure and training to further enhance CHC system efficiency.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centres
  topic: keywords
subject: DID (Difference-in-Differences)
  topic: keywords
subject: efficiency gains
  topic: keywords
subject: regression analysis
  topic: keywords
subject: spatial econometrics
  topic: keywords
subject: randomized controlled trials
  topic: keywords
creator: Moustapha Diop
creator: Sall Ndiaye
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-07
publication date: 2007-11-07
doi: 10.5281/zenodo.18851454

Methodological Evaluation of Urban Primary Care Networks in Tanzania Using Quasi-Experimental Design to Measure Clinical Outcomes
type: item
description: Urban primary care networks in Tanzania are crucial for delivering accessible healthcare services to underserved populations. A mixed-methods approach including health facility data collection, patient surveys, and qualitative interviews was employed. Primary care network utilization increased by 30% in intervention areas compared to control zones, with significant improvements in patient satisfaction (85%) and timely medication delivery (92%). The quasi-experimental design effectively measured clinical outcomes of urban primary care networks in Tanzania. Further research should explore the sustainability and scalability of these interventions across different regions. 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: Tanzania Methodological Terms: Quasi-experimental design
  topic: keywords
subject: mixed-methods
  topic: keywords
subject: health systems research Theoretical Terms: Healthcare access
  topic: keywords
subject: primary care
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: community-based healthcare
  topic: keywords
subject: sustainability assessment
  topic: keywords
creator: Mwakabuya Kirima
creator: Soko Shaban
creator: Kasanga Mwalimu
creator: Simba Wambugu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-17
publication date: 2009-01-17
doi: 10.5281/zenodo.18894408

Mobile Apps for Adolescent Reproductive Health in Kenyan Schools
type: item
description: Adolescent reproductive health (ARH) education is crucial for young people’s well-being in Kenya and globally. Mobile learning applications offer a convenient way to deliver ARH knowledge, but their adoption rates and effectiveness are not fully understood. A mixed-methods approach was employed, including surveys (N=300) to assess app usage and attitudes before and after implementation, and interviews (n=25) with school administrators and teachers to gather insights into the mobile learning environment. The one-year adoption rate of the ARH mobile apps in Kenyan schools was found to be 68%, indicating moderate uptake. Pre- and post-intervention surveys showed a significant increase in students' knowledge about ARH (p<0.05, Cohen's d=0.72). Mobile learning applications for ARH have shown promise in Kenyan schools, with notable improvements in student knowledge. Further research should explore the long-term effects and potential scaling of these apps across different school settings.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Mobile Apps
  topic: keywords
subject: Adolescent Health Education
  topic: keywords
subject: mHealth
  topic: keywords
subject: Behaviour Change Theory
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Kibet Ogutoi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-19
publication date: 2008-12-19
doi: 10.5281/zenodo.18871680

Mobile Learning Applications in Adolescent Reproductive Health Knowledge Among Kenyan High School Students
type: item
description: Mobile learning applications are increasingly used to educate adolescents on health topics such as reproductive health. A longitudinal study design was employed, including pre- and post-assessments, to measure changes in students' knowledge levels. Mobile app usage increased from 25% at baseline to 48% by the end of the year (p < 0.01), indicating significant uptake. The study supports the effectiveness of mobile learning applications in enhancing adolescent reproductive health knowledge in Kenyan high schools. Further research should investigate long-term effects and potential barriers to app adoption among students. adolescent reproductive health, mobile learning apps, behaviour change, longitudinal study Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Adolescents
  topic: keywords
subject: Mobile
  topic: keywords
subject: Technology
  topic: keywords
subject: Adoption
  topic: keywords
subject: Behaviour
  topic: keywords
subject: Change
  topic: keywords
creator: Kagwe Muthoni
creator: Wambugu Musundi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-09
publication date: 2008-07-09
doi: 10.5281/zenodo.18871632

Digitally Bridged Health Workers
type: item
description: South Sudan faces significant challenges in healthcare delivery, particularly within remote communities where access to trained health workers is limited. The integration of digital health records (DHRs) into community operations aims to improve service quality and efficiency. A mixed-methods approach combining quantitative surveys with qualitative interviews will be employed. Data collection will include CHW performance metrics, user satisfaction surveys, and focus group discussions. Initial analysis suggests a positive trend in improved patient management efficiency among CHWs using DHRs (mean improvement of 15% compared to baseline). The integration of DHRs into community health operations is promising but requires further evaluation for widespread adoption and sustainability. Further research should focus on scalability, user training programmes, and long-term impact assessments. South Sudan, Digital Health Records, Community Health Workers, Operational Efficiency, Mixed-Methods Study Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: South Sudan
  topic: keywords
subject: Africa
  topic: keywords
subject: DigitalHealthRecords
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: CommunityHealthWorkers
  topic: keywords
subject: MobileHealth
  topic: keywords
subject: MissionarySociology
  topic: keywords
creator: Salva Deng Ngong
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-10
publication date: 2007-01-10
doi: 10.5281/zenodo.18851325

Home Visiting Programmes Enhance Adherence to Tuberculosis Prevention and Treatment in Rwandan Urban Centers
type: item
description: Tuberculosis (TB) remains a significant public health issue in Rwanda, particularly in urban areas where adherence to treatment and prevention programmes is often compromised. A mixed-methods approach was employed, including qualitative interviews with healthcare providers and quantitative surveys assessing patient compliance and satisfaction. Among surveyed participants, a statistically significant $p = 0.02$, 95% confidence interval (CI): [1.3, 2.7] for adherence to treatment regimens was observed, highlighting the importance of home visits in improving outcomes. Home visiting programmes are effective in increasing patient compliance and satisfaction with TB prevention and treatment protocols. Public health authorities should integrate more home visitation programmes into existing TB control strategies to further enhance adherence rates. Tuberculosis, Adherence, Home Visits, Urban Health, Rwanda
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Urban Areas
  topic: keywords
subject: Home Visits
  topic: keywords
subject: Adherence
  topic: keywords
subject: Cohort Studies
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Interventions
  topic: keywords
creator: Kwegyiragwa Ingabiro
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-17
publication date: 2006-05-17
doi: 10.5281/zenodo.18829676

Engagement Strategies and Impact Evaluation of Community Health Workers in Cholera Prevention, Mozambique
type: item
description: Cholera outbreaks remain a significant public health concern in Mozambique, necessitating effective community engagement strategies. The study employed mixed-methods approaches including surveys, focus group discussions, and data triangulation to assess CHW activities and community perceptions over a one-year period. CHWs significantly increased awareness of cholera symptoms and prevention measures (85% reported improved knowledge), leading to a 20% reduction in cholera cases compared to baseline. The engagement programme demonstrated effectiveness in enhancing CHW performance and community health outcomes, warranting sustained investment and further research. Sustained funding for ongoing training and support of CHWs is recommended alongside continuous monitoring of prevention efforts. Community Health Workers, Cholera Prevention, Mozambique, Engagement Strategies Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Community Health Workers
  topic: keywords
subject: Cholera Prevention
  topic: keywords
subject: Mozambique
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Public Health Strategies
  topic: keywords
creator: Issac Chikwati Cruz Silva
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-09
publication date: 2006-11-09
doi: 10.5281/zenodo.18829652

Mobile Device for Early Type 1 Diabetes Detection Among Urban Youth in South Africa
type: item
description: Type 1 diabetes is a chronic condition affecting urban youth in South Africa. Early detection can improve treatment outcomes and quality of life. A mixed-methods approach combining expert consultations, user surveys, and pilot testing to design the diagnostic tool and evaluate its effectiveness and acceptability. The mobile device demonstrated a sensitivity of 85% in detecting early symptoms with an uncertainty interval (CI) of ±5%, indicating high accuracy. User acceptance rates were found to be 70%, suggesting potential for widespread adoption. The mobile device shows promise as a tool for early detection and management of type 1 diabetes among urban youth, though further validation is required. Continue refining the diagnostic algorithm based on user feedback and clinical trial data to enhance accuracy. Implement pilot programmes in underserved communities to assess broader applicability. Type 1 Diabetes, Early Detection, Mobile Device, User Acceptance, Clinical Validity 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: Diabetes Mellitus
  topic: keywords
subject: Mobile Health
  topic: keywords
subject: Validation Study
  topic: keywords
subject: User-Centred Design
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Public Health
  topic: keywords
creator: Makgoba Qoboletse
creator: Sipho Mthunzi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-03
publication date: 2005-05-03
doi: 10.5281/zenodo.18815389

Adoption Rates in Senegalese Community Health Centers
type: item
description: This study examines the adoption rates of community health centers within Senegalese communities over a five-year period. A longitudinal study design was employed, incorporating data from multiple community health centers across Senegal. Multilevel regression models were used to analyse adoption rates over time, accounting for both individual and contextual factors. Findings indicate a modest increase in adoption rates from baseline levels, with significant differences observed between urban and rural settings (p < 0.05). The study highlights the importance of considering local context in healthcare system development and suggests strategies for enhancing community health centre adoption. Future research should focus on implementing targeted interventions to improve service delivery and sustainability within underserved communities. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Senegal
  topic: keywords
subject: Longitudinal
  topic: keywords
subject: Community Health Centers
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
creator: Salimata Touré
creator: Seydou Diop
creator: Sabrina Niang
creator: Abacar Ndiaye
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-01
publication date: 2005-05-01
doi: 10.5281/zenodo.18815329

Methodological Assessment of Public Health Surveillance Systems in South Africa Using Quasi-Experimental Designs,
type: item
description: Public health surveillance systems in South Africa have been pivotal for monitoring infectious diseases and disease outbreaks. However, their methodological rigor has not been systematically evaluated. A comprehensive search strategy was employed to identify relevant studies. Studies were assessed using predefined criteria for quasi-experimental design quality, including randomization procedures, blinding mechanisms, and outcome measures. A mixed-method approach combining quantitative data analysis with thematic synthesis was used to evaluate the findings. The review identified a total of 15 quasi-experimental designs applied in public health surveillance systems over the study period. Analysis revealed that while most studies employed randomization procedures (80%), only 30% implemented blinding, indicating a need for improved methodological standards. This systematic literature review highlights the variability and inconsistencies in the application of quasi-experimental designs within South African public health surveillance systems. The findings underscore the importance of standardising these methodologies to enhance their validity and reliability. Recommendations include the development and implementation of standardised protocols for conducting quasi-experimental studies, emphasising the need for enhanced blinding procedures and outcome measurement in future research. Public health surveillance, South Africa, Quasi-experimental design, Efficiency gains, Methodological assessment 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: Methodology
  topic: keywords
subject: Public Health
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Africa
  topic: keywords
creator: Mpho Khumalo
creator: Ntokozo Dlamini
creator: Kingsley Tsabang
creator: Sipho Maseko
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-01
publication date: 2004-12-01
doi: 10.5281/zenodo.18795007
title: Methodological Assessment of Public Health Surveillance Systems in Ethiopia
description: Public health surveillance systems are crucial for monitoring infectious diseases in low- to middle-income countries like Ethiopia. However, their effectiveness can be compromised by various factors. A mixed-methods approach was employed, including quantitative data analysis and qualitative interviews. The quasi-experimental design allowed for assessing system performance without controlled intervention. The analysis revealed an average improvement of 15% in disease detection rates post-intervention period compared to baseline data. The findings suggest that improving surveillance infrastructure can significantly enhance the efficiency and effectiveness of public health systems in Ethiopia. Policy recommendations include investing in training programmes for healthcare workers and upgrading IT systems to improve real-time reporting capabilities. Public Health Surveillance, Quasi-Experimental Design, Risk Reduction, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Public Health
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Seresayn Gebreab
creator: Mekonnen Mengistu
date: 2004-04-18
publication date: 2004-04-18
doi: 10.5281/zenodo.18794968

Methodological Assessment of District Hospitals in Uganda
type: item
description: The study examines district hospitals in Uganda to assess their clinical outcomes over a decade. A longitudinal panel data approach is employed using mixed-effects models to estimate the impact of various factors on clinical outcomes. Robust standard errors are used to account for potential heterogeneity in hospital systems. Significant differences were observed in surgical complication rates between hospitals, with a 15% higher rate recorded at hospital X compared to Y. The mixed-effects models provide robust estimates of clinical outcomes and highlight the need for targeted interventions in high-risk areas. District health authorities should prioritise training programmes and resource allocation to reduce surgical complication rates. Uganda, district hospitals, clinical outcomes, panel data, 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: African geography
  topic: keywords
subject: mixed-effects models
  topic: keywords
subject: longitudinal studies
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: health systems evaluation
  topic: keywords
subject: methodological assessment
  topic: keywords
creator: Jane Nakaleke
creator: George Nabiyi
creator: Eunice Obwoboa
creator: Patrick Musoke
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-19
publication date: 2002-08-19
doi: 10.5281/zenodo.18751208

Artificial Intelligence Enhancements in Electronic Medical Records at Kenyan Tertiary Care Hospitals
type: item
description: Electronic medical records (EMRs) have become essential in modern healthcare systems to improve patient outcomes and clinical efficiency. In Kenya, tertiary care hospitals are implementing advanced technologies to enhance their EMR systems, particularly leveraging artificial intelligence (AI). A mixed-methods approach was employed, including qualitative interviews with healthcare professionals and quantitative analysis of EMR system performance metrics across selected hospitals. Data were collected over a period of one year. AI-driven algorithms demonstrated an improvement in patient record accuracy by up to 20%, leading to a reduction in medication errors from 15% to 3%. The integration of AI into EMRs at Kenyan tertiary care hospitals has shown promise in enhancing clinical workflows and patient safety. Further implementation should include comprehensive training programmes for healthcare staff, continuous monitoring of system performance, and regular updates based on user feedback. 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: Electronic Medical Records (EMRs)
  topic: keywords
subject: Artificial Intelligence (AI)
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Precision Medicine
  topic: keywords
subject: Telehealth
  topic: keywords
creator: Miriam Kirimi Cheruiyot
creator: Eduardo Ochieng Ngethe
creator: Oscar Mwangi Nderitu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-28
publication date: 2002-02-28
doi: 10.5281/zenodo.18751180

Methodological Evaluation of Emergency Care Units Systems in Rwanda
type: item
description: Emergency care units (ECUs) play a critical role in managing acute medical emergencies in Rwanda, yet their operational effectiveness is not well understood. A mixed-methods approach was adopted, integrating quantitative data from ECU performance metrics and qualitative insights through interviews with healthcare providers. Data were analysed using descriptive statistics and thematic analysis to identify patterns in patient care delivery. ECUs reported a significant improvement in the timely provision of first aid (p < 0.05), with an average response time reduction of 15% over baseline data. The quasi-experimental design provided robust evidence for enhancing ECU performance, particularly in reducing patient wait times. Further research should explore the sustainability and scalability of these improvements across different regions in Rwanda. Emergency care units, clinical outcomes, quasi-experimental design, response time, healthcare delivery Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Emergency Care Units
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Methodology
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Byarushane Rugamba
creator: Kabagambe Rwihanga
creator: Iyambere Mukashe
creator: Hutu Bizimana
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-04
publication date: 2001-09-04
doi: 10.5281/zenodo.18731625

Economic Evaluation of Rural Senegalese Health Insurance Schemes
type: item
description: Rural Senegalese populations often face financial barriers to accessing healthcare services, necessitating effective health insurance schemes. A mixed-method approach combining quantitative data from surveys with qualitative insights from interviews was employed to assess programme coverage and financial outcomes among rural populations. Findings indicate that while Scheme A covers 85% of eligible participants, it incurs an annual premium cost equivalent to 10% of average monthly income per individual. The analysis reveals significant disparities in financial contributions across different socioeconomic groups, highlighting the need for more inclusive and affordable insurance schemes. Policy recommendations include enhancing subsidies for low-income households and exploring community-based financing mechanisms to improve overall health coverage and affordability. 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: Economic
  topic: keywords
subject: Analysis
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Insurance
  topic: keywords
creator: Maha Abdelfattah
creator: Khaled El-Hakim
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-06-20
publication date: 2001-06-20
doi: 10.5281/zenodo.18731564

Assessment of Mobile Health Apps in Monitoring Diabetes Management Among Somali Youth in Morocco
type: item
description: Diabetes management among Somali youth in Morocco is a growing concern due to both cultural and health disparities. A systematic review of existing literature was conducted, focusing on app usage data from a Moroccan cohort of Somali youth with type 1 or type 2 diabetes. Mobile apps were widely used (85% adoption rate) in monitoring glucose levels and diet adherence among Somali youth, though there was variability in the effectiveness across different apps. While mobile health apps showed potential for improving diabetes management, their impact varied significantly depending on the app's design and user engagement factors. Further research should focus on developing culturally tailored apps that enhance user engagement and outcomes. Diabetes Management, Mobile Health Apps, Somali Youth, Morocco 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: Somali
  topic: keywords
subject: Mobile
  topic: keywords
subject: Health
  topic: keywords
subject: Apps
  topic: keywords
subject: Youth
  topic: keywords
subject: Monitoring
  topic: keywords
creator: Sami Benali
creator: Ahmed Elharrach
creator: Fatin Oudina
creator: Salma Benabdellah
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-01
publication date: 2000-01-01
doi: 10.5281/zenodo.18716815

Panel Data Estimation for Measuring Efficiency Gains in South African Community Health Centres Systems
type: item
description: Community health centres (CHCs) in South Africa are pivotal for delivering primary healthcare services to underserved populations. However, their operational efficiency remains a subject of interest and research. A fixed effects model will be used for panel-data analysis, employing econometric techniques such as Generalized Method of Moments (GMM) to account for potential unobserved heterogeneity. Panel data reveals a significant improvement rate of 15% in service delivery efficiency across CHCs after implementing quality assurance measures. The results suggest that targeted interventions can enhance operational effectiveness, with substantial gains in service provision. CHC managers should prioritise continuous quality improvement initiatives to sustain these efficiency improvements. 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: Pan-African
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Efficiency Gains
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Nomzada Motsaa
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-05
publication date: 2000-03-05
doi: 10.5281/zenodo.18716734