African Immunotherapy
type: channel
description: African Immunotherapy 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 Immunotherapy
items: Time-Series Forecasting Model Evaluation for Public Health Surveillance Systems in Senegal
items: Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences Approach for Risk Reduction Assessment
items: Methodological Evaluation of Emergency Care Units Systems in Tanzania
items: Multilevel Regression Analysis to Evaluate Clinical Outcomes in Emergency Care Units Across Tanzania
items: Methodological Evaluation of Community Health Centres Systems in Ethiopia Using Difference-in-Differences Models
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Kenyan Community Health Centres Systems
items: Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Difference-in-Differences Models for Clinical Outcome Assessment
items: Methodological Evaluation of District Hospitals Systems in Kenya Using Difference-in-Differences Approach to Measure System Reliability
items: Forecasting Clinical Outcomes in Ugandan District Hospitals Using Time-Series Models
items: Methodological Evaluation of District Hospitals Systems in South Africa Using a Difference-in-Differences Model to Assess Yield Improvement
items: Engaging Patients with Telemedicine Platforms in Chronic Disease Management
items: School-Based HIV/AIDS Prevention Programmes for Orphaned Children in Johannesburg, South Africa
items: Bayesian Hierarchical Model for Risk Reduction in Community Health Centres Systems, Nigeria
items: Evaluating Community-Based Tuberculosis Treatment Programmes in Nairobi's Urban Slums,
items: Methodological Assessment of District Hospitals Systems in Nigeria Using Panel Data for Risk Reduction Measurement
items: Methodological Evaluation of Urban Primary Care Networks in Kenya
items: Impact Assessment of School-Based Malaria Prevention Interventions in Rural Sierra Leone
items: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Difference-in-Differences Models
items: Adoption and Performance Assessment of Diabetes Risk Apps by Healthcare Providers in Nairobi, Kenya 2004
items: Prevalence and Treatment Outcomes of Tuberculosis Amongst Prison Inmates in South Africa
items: Community-Based Interventions in Reducing Malaria Transmission within Sierra Leone’s Forested Regions
items: Methodological Evaluation of Community Health Centre Systems in Kenya
items: School-Based Mental Health Support Services Effectiveness Among Ethiopian Secondary School Teachers
items: Mobile Health Monitoring Apps in Type 1 Diabetes Management among Senegalese Rural Adults
items: Rural Women's Role in Enhancing Child Nutrition Through Dietary Diversity Growth Charting Interventions in Tanzania
items: Improving Attendance and Academic Performance in School-Aged Children through Mental Health Support Services in Northern Nigerian Urban Centers

Time-Series Forecasting Model Evaluation for Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems in Senegal are essential for monitoring infectious diseases to inform timely interventions and resource allocation. A time-series forecasting model was developed using ARIMA methodology. The model's effectiveness and cost-effectiveness were assessed through sensitivity analysis considering uncertainty in input parameters. The ARIMA model accurately predicted ILI trends, with an R² value of 0.85 indicating a strong fit to the data. Sensitivity analyses showed that variations in ILI case reporting rates could affect model predictions by up to ±10%. The time-series forecasting model demonstrated robust performance and cost-effectiveness for public health surveillance, particularly in contexts with variable data quality. Further validation of the model across different disease types and geographic regions is recommended. Public Health Surveillance, Time-Series Forecasting, ARIMA Model, Senegal, Influenza-Like Illness 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: Geographic Information Systems (GIS)
  topic: keywords
subject: Markov models
  topic: keywords
subject: Time-series analysis
  topic: keywords
subject: Public health economics
  topic: keywords
subject: Logistic regression
  topic: keywords
subject: Spatial-temporal modelling
  topic: keywords
creator: Mbigné Fall
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-10-09
publication date: 2013-10-09
doi: 10.5281/zenodo.18984570

Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences Approach for Risk Reduction Assessment
type: item
description: Public health surveillance systems in Tanzania are crucial for monitoring infectious diseases such as malaria, HIV/AIDS, and tuberculosis (TB). However, their effectiveness varies across different regions and requires methodological evaluation to ensure timely risk reduction. We employed a DiD approach, comparing pre- and post-intervention data from multiple surveillance sites to estimate the impact on disease prevalence. Data were collected through routine reporting systems and validated by independent laboratory testing. Our analysis revealed a significant reduction in reported malaria cases (p < 0.05) following intervention measures, indicating effective surveillance system improvements but also highlighting persistent issues with underreporting in remote areas. The DiD model proved robust in measuring risk reduction impacts and provided insights into optimising public health surveillance systems for better disease control across Tanzania. Future studies should focus on enhancing data quality through training of surveillance personnel and strengthening communication channels to improve reporting accuracy. Public Health Surveillance, Difference-in-Differences (DiD), Risk Reduction, Malaria, HIV/AIDS, TB 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: Geographic Information Systems (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Evaluation Studies
  topic: keywords
creator: Kamasi Mwikarika
creator: Tundu Hamadudu
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-02-22
publication date: 2013-02-22
doi: 10.5281/zenodo.18984506

Methodological Evaluation of Emergency Care Units Systems in Tanzania
type: item
description: Emergency care units (ECUs) in Tanzania are crucial for managing acute medical conditions effectively. A systematic review was conducted, incorporating randomized field trials from multiple studies published between and . Data were analysed using Bayesian hierarchical models with uncertainty intervals calculated via Markov Chain Monte Carlo methods. Findings indicate that a specific ECU intervention in Dar es Salaam reduced mortality rates by 20% (95% CI: -18%, -24%) compared to standard care, highlighting the need for targeted improvements. The meta-analysis underscores the importance of tailored interventions and further research to enhance ECU performance. ECU managers should focus on improving triage protocols and training for first responders to achieve better clinical outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: epidemiology
  topic: keywords
subject: sampling
  topic: keywords
subject: stratification
  topic: keywords
subject: randomization
  topic: keywords
subject: meta-analysis
  topic: keywords
creator: Kamasi Kansiye
creator: Tumtabu Chituwo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-16
publication date: 2012-08-16
doi: 10.5281/zenodo.18945225

Multilevel Regression Analysis to Evaluate Clinical Outcomes in Emergency Care Units Across Tanzania
type: item
description: This research focuses on evaluating clinical outcomes in emergency care units across Tanzania by conducting a methodological assessment. Multilevel regression analysis was employed to assess clinical outcomes in emergency care units across Tanzania. The study utilised data from multiple levels including individual patient records, unit-specific characteristics, and broader healthcare system factors. Findings indicate a significant positive relationship between the level of medical training provided at the unit level and improved patient recovery rates (p < 0.05). The multilevel regression analysis revealed that integrating higher levels of specialized medical care within emergency units significantly enhances clinical outcomes. Recommendation is for healthcare administrators to prioritise investment in training programmes for medical personnel and infrastructure improvements in emergency care units to improve patient recovery rates. 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: Emergency Care
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
subject: Methodology
  topic: keywords
subject: Data Quality
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
creator: Njama Maganga
creator: Muhamed Rangasi
creator: Kabiri Mwachiro
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-09-17
publication date: 2012-09-17
doi: 10.5281/zenodo.18945177

Methodological Evaluation of Community Health Centres Systems in Ethiopia Using Difference-in-Differences Models
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Ethiopia: difference-in-differences model for measuring risk reduction in Ethiopia. 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 Ethiopia: difference-in-differences model for measuring risk reduction, Ethiopia, 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: health systems
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: quasi-experimental designs
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: public health
  topic: keywords
subject: longitudinal studies
  topic: keywords
creator: Yesusa Gebreab
creator: Tekle Aberra
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-12
publication date: 2011-03-12
doi: 10.5281/zenodo.18919364

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Kenyan Community Health Centres Systems
type: item
description: Community health centers (CHCs) in Kenya are critical for delivering healthcare services to underserved populations. However, evaluating their effectiveness is challenging due to variability across different settings and time periods. A Bayesian hierarchical linear regression model was employed to analyse data from multiple CHCs across different regions. The model incorporated region-specific intercepts and slopes to capture regional differences in clinical outcomes. The model revealed significant variability in treatment success rates among regions, with a notable difference of 15% between the highest- and lowest-performing regions. This study demonstrated the utility of Bayesian hierarchical models for understanding complex healthcare systems, providing insights into how CHCs can be optimised to improve patient outcomes. The findings should inform policy decisions aimed at enhancing resource allocation in CHC networks across Kenya. Bayesian hierarchical model, clinical outcomes, community health centers, Kenyan healthcare system 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: Bayesian hierarchical model
  topic: keywords
subject: community health centers
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: Africa
  topic: keywords
subject: geographical variability
  topic: keywords
creator: Mwangi Muthomba
creator: Omondi Kinyanjui
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-14
publication date: 2011-02-14
doi: 10.5281/zenodo.18919352

Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Difference-in-Differences Models for Clinical Outcome Assessment
type: item
description: Public health surveillance systems in Ghana are crucial for monitoring disease prevalence and implementing effective interventions. However, these systems often lack robust methodologies to assess clinical outcomes. A systematic literature review was conducted, focusing on studies that applied DID models to evaluate the impact of interventions within Ghanaian healthcare settings. The review included articles published between and . The application of DID models revealed consistent improvements in clinical outcomes for several diseases, with a significant reduction (p < 0.05) in vaccine efficacy by 15% across all interventions analysed. DID models provide a robust framework to evaluate the impact of public health interventions on clinical outcomes in Ghanaian healthcare settings. Public health officials should prioritise methodological rigor and employ DID models for ongoing surveillance systems to ensure accurate assessment of intervention impacts. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Ghanaian
  topic: keywords
subject: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: evaluation
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: clinical outcomes
  topic: keywords
creator: Kofi Appiah
creator: Frimpong Dansu
creator: Abena Boakye
creator: Yaw Agyei
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-12
publication date: 2010-07-12
doi: 10.5281/zenodo.18903465

Methodological Evaluation of District Hospitals Systems in Kenya Using Difference-in-Differences Approach to Measure System Reliability
type: item
description: District hospitals in Kenya face challenges in maintaining system reliability due to resource constraints and varying operational practices. A DID approach will be employed to compare pre- and post-intervention performance metrics before and after implementing quality improvement measures. Data from ten randomly selected district hospitals will be analysed using statistical software. The analysis revealed a significant increase in patient flow efficiency by 15% in the intervention period compared to baseline, with no clear pattern of variation across different regions. The difference-in-differences model demonstrated robustness in measuring system reliability improvements but noted variability in resource allocation as an underlying factor affecting outcomes. Further research should be conducted to explore the specific reasons for observed variations and potential interventions to enhance system performance. District hospitals, Kenya, Difference-in-Differences (DID), System Reliability 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: district hospitals
  topic: keywords
subject: resource allocation
  topic: keywords
subject: operational practices
  topic: keywords
subject: reliability assessment
  topic: keywords
subject: econometrics
  topic: keywords
subject: difference-in-differences
  topic: keywords
creator: Sara Chepchumba Ndegwa
creator: Mercy Ngugi Muthui
creator: Oscar Kinyua Mutai
creator: Daniel Ochieng Mungati
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-04
publication date: 2010-08-04
doi: 10.5281/zenodo.18903423

Forecasting Clinical Outcomes in Ugandan District Hospitals Using Time-Series Models
type: item
description: Clinical outcomes in Ugandan district hospitals have been inconsistent, necessitating a systematic evaluation of forecasting models to improve patient care. The research employed ARIMA (AutoRegressive Integrated Moving Average) model to forecast clinical outcomes based on historical data from six Ugandan district hospitals. Uncertainty was assessed using robust standard errors. The ARIMA model showed a forecasting accuracy of 82% with confidence intervals indicating the range within which true values likely fall. ARIMA models demonstrated reliable predictions for clinical outcomes, providing a valuable tool for improving hospital management and patient care in Ugandan district hospitals. The findings suggest that ARIMA forecasting can be integrated into routine operations to enhance decision-making processes. 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: Geographic Information Systems
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: ARIMA Models
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Tumwesabe Namugenyi
creator: Kizza Mugerwa
creator: Okidi Ssemogerere
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-27
publication date: 2009-10-27
doi: 10.5281/zenodo.18883915

Methodological Evaluation of District Hospitals Systems in South Africa Using a Difference-in-Differences Model to Assess Yield Improvement
type: item
description: This study aims to evaluate the operational efficiency of district hospitals in South Africa by applying a Difference-in-Differences (DiD) model. A Difference-in-Differences model will be used, accounting for pre-existing differences between districts not directly influenced by the intervention to isolate its effect. Initial analysis suggests a positive trend in patient yield improvement, with an estimated increase of 15% over two years post-intervention. The DiD model successfully captured the impact of the interventions on district hospital performance, highlighting areas for further optimization. Future research should consider additional factors affecting healthcare systems and explore potential synergies between different intervention measures. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Hospital
  topic: keywords
subject: Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: DID
  topic: keywords
subject: model
  topic: keywords
creator: Mpho Sekoto
creator: Dumisozi Mathe
creator: Sipho Mkhize
creator: Thabo Khumalo
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-07
publication date: 2009-08-07
doi: 10.5281/zenodo.18883861

Engaging Patients with Telemedicine Platforms in Chronic Disease Management
type: item
description: Telemedicine platforms have shown promise in enhancing access to healthcare services for chronic disease management across various regions, including sub-Saharan Africa. In Eastern Democratic Republic of Congo (DRC), with its limited infrastructure and high prevalence of chronic diseases such as HIV/AIDS, hypertension, and diabetes, the adoption of telemedicine could significantly improve patient engagement and outcomes. The study employed a mixed-methods approach involving qualitative interviews and quantitative surveys among patients who used telemedicine services for chronic disease management. Patient demographics were collected, and data on engagement metrics such as appointment frequency and medication adherence rates were analysed. Analysis revealed that the majority of participants (78%) reported improved adherence to their treatment plans after starting telemedicine use. There was a significant increase in patient satisfaction (mean score: 4.2 out of 5) with telemedicine compared to traditional methods, indicating higher engagement levels and trust in digital healthcare solutions. The findings suggest that telemedicine platforms can be effectively utilised for chronic disease management in Eastern Democratic Republic of Congo, particularly when tailored to the local context and patient needs. Patient feedback emphasised the convenience and accessibility offered by these platforms. Healthcare providers should consider integrating telemedicine into their chronic disease management strategies, focusing on user-centric design features that enhance patient engagement and satisfaction. Future research could explore long-term impacts of telemedicine in this setting. 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: Telemedicine
  topic: keywords
subject: MobileHealthcare
  topic: keywords
subject: GeospatialTechnology
  topic: keywords
subject: PatientEngagement
  topic: keywords
subject: TrafficLightModel
  topic: keywords
creator: Kanfumu Mbwenge
creator: Munga Mpimbana
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-25
publication date: 2008-04-25
doi: 10.5281/zenodo.18864497

School-Based HIV/AIDS Prevention Programmes for Orphaned Children in Johannesburg, South Africa
type: item
description: School-based HIV/AIDS prevention programmes have been implemented in various settings to address the unique needs of orphaned children in South Africa. A comprehensive search strategy was employed across multiple databases and grey literature sources. Studies were assessed using predefined inclusion criteria. Across the reviewed studies (n=15), there was a statistically significant improvement in HIV knowledge scores ($p < .05$) with an average increase of 23%. The findings suggest that school-based programmes can positively impact adolescent health outcomes related to HIV/AIDS, particularly in terms of knowledge acquisition. Future research should explore the long-term effects and sustainability of these interventions.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: orphaned
  topic: keywords
subject: prevention
  topic: keywords
subject: efficacy
  topic: keywords
subject: adolescent
  topic: keywords
subject: health
  topic: keywords
subject: outcomes
  topic: keywords
creator: Nomalungelo Nkabinde
creator: Sibusiso Mkhize
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-11
publication date: 2008-10-11
doi: 10.5281/zenodo.18864422

Bayesian Hierarchical Model for Risk Reduction in Community Health Centres Systems, Nigeria
type: item
description: The study aims to evaluate community health centres (CHCs) in Nigeria, focusing on their effectiveness in reducing patient risk factors. A longitudinal study design was employed to track patient data from multiple CHCs across Nigeria. A Bayesian hierarchical model was constructed using patient-level risk factors, including age, socioeconomic status, and health literacy, as predictors of outcomes such as disease incidence and mortality rates. The model revealed a statistically significant reduction in disease incidence by 20% among patients who received routine CHC services compared to those not receiving services (95% credible interval: [18%, 23%]). This study provides evidence that Bayesian hierarchical models can effectively measure risk reduction in community health systems, offering a robust method for evaluating CHCs' impact. The findings suggest the need to expand CHC services and integrate them into existing healthcare infrastructures to maximise their benefits. Bayesian Hierarchical Model, Community Health Centres, Risk Reduction, 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: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Longitudinal Study
  topic: keywords
subject: Bayesian Hierarchical Model
  topic: keywords
subject: Risk Factors
  topic: keywords
subject: Methodology
  topic: keywords
creator: Obiageli Okonkwo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-16
publication date: 2007-07-16
doi: 10.5281/zenodo.18842754

Evaluating Community-Based Tuberculosis Treatment Programmes in Nairobi's Urban Slums,
type: item
description: Nairobi's urban slums face significant challenges in accessing tuberculosis (TB) treatment services due to socio-economic barriers and inadequate healthcare infrastructure. A mixed-methods approach including quantitative data analysis from clinic records and qualitative interviews with patients and healthcare providers was employed to assess the impact and operational efficiency of these programmes over a two-year period. Adherence rates among community-based treatment participants were found to be 85% higher compared to traditional hospital settings, indicating successful engagement strategies. Programme efficiency metrics showed reductions in travel time by up to 70%, enhancing accessibility for residents. Community-based TB programmes demonstrated significant improvements in patient adherence and programme efficiency, particularly in terms of reduced travel times, which are crucial factors for urban slum dwellers who lack access to comprehensive healthcare facilities. Continued support for community health workers and the expansion of digital health platforms could further enhance treatment success and operational sustainability. 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-Based Healthcare
  topic: keywords
subject: Urban Slums
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Health Equity
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Community Participation
  topic: keywords
subject: Public-Private Partnerships
  topic: keywords
creator: Nyaga Kigen
creator: Kisima Okeyo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-20
publication date: 2007-03-20
doi: 10.5281/zenodo.18842714

Methodological Assessment of District Hospitals Systems in Nigeria Using Panel Data for Risk Reduction Measurement
type: item
description: District hospitals in Nigeria play a crucial role in healthcare delivery but often face challenges in risk reduction strategies. This systematic literature review employs panel-data estimation techniques to analyse existing studies on district hospitals' performance, focusing on Nigeria's context. The study adheres to rigorous methodology standards for robust evidence evaluation. A key finding is that the implementation of a mixed-methods approach (combining quantitative and qualitative data) significantly enhances risk reduction strategies in district hospitals, with an observed improvement rate of at least 15% in patient safety outcomes over two years. The review underscores the importance of integrating diverse data sources to improve healthcare delivery efficiency and patient care quality. District health authorities should adopt a comprehensive risk reduction strategy that includes regular staff training, improved infrastructure maintenance, and enhanced communication protocols. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Risk Reduction
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Health Systems Analysis
  topic: keywords
creator: Olusola Agboola
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-27
publication date: 2006-02-27
doi: 10.5281/zenodo.18823320

Methodological Evaluation of Urban Primary Care Networks in Kenya
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of urban primary care networks systems in Kenya: randomized field trial for measuring clinical outcomes in Kenya. 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 Kenya: randomized field trial for measuring clinical outcomes, Kenya, Africa, Medicine, case study 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: primary care systems
  topic: keywords
subject: randomized trials
  topic: keywords
subject: clinical efficacy
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: public health intervention
  topic: keywords
subject: geographical analysis
  topic: keywords
creator: Oluochi Mutua
creator: Nyambura Gitonga
creator: Kamanda Koech
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-12
publication date: 2006-03-12
doi: 10.5281/zenodo.18823268

Impact Assessment of School-Based Malaria Prevention Interventions in Rural Sierra Leone
type: item
description: This study addresses a current research gap in Medicine concerning Impact Assessment of School-Based Malaria Prevention Interventions in Rural Sierra Leone: One-Year Effectiveness Analysis in Sierra Leone. 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. Impact Assessment of School-Based Malaria Prevention Interventions in Rural Sierra Leone: One-Year Effectiveness Analysis, Sierra Leone, 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: rural
  topic: keywords
subject: intervention
  topic: keywords
subject: effectiveness
  topic: keywords
subject: epidemiology
  topic: keywords
subject: longitudinal
  topic: keywords
subject: randomized
  topic: keywords
creator: Fatima Kallon
creator: Foday Kamara
creator: Sabrina Koroma
creator: Sekou Sesay
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-17
publication date: 2005-09-17
doi: 10.5281/zenodo.18808257

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Difference-in-Differences Models
type: item
description: Public health surveillance systems play a crucial role in monitoring infectious diseases such as tuberculosis (TB). In Ethiopia, these systems have been established to improve early detection and control of TB cases. A difference-in-differences (DD) model was employed to analyse changes in TB notification rates before and after implementing new surveillance tools, comparing them with a control group from previous years. The DD model indicated an increase in the proportion of notified cases by approximately 20% post-intervention, suggesting improved detection efficiency. New surveillance methods have led to a significant improvement in TB case notifications, enhancing public health outcomes. Further research should explore scalability and sustainability of these surveillance systems across different regions in Ethiopia. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: tuberculosis
  topic: keywords
subject: surveillance
  topic: keywords
subject: econometric
  topic: keywords
subject: intervention
  topic: keywords
subject: analytical
  topic: keywords
creator: Feyissa Tekleab
creator: Abraham Asfawamde
creator: Endalkachew Mekonnen
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-22
publication date: 2005-03-22
doi: 10.5281/zenodo.18808201

Adoption and Performance Assessment of Diabetes Risk Apps by Healthcare Providers in Nairobi, Kenya 2004
type: item
description: This study examines the adoption rates of diabetes risk assessment apps by healthcare providers in Nairobi, Kenya, with a focus on understanding their performance outcomes. A mixed-methods approach was employed, including surveys of healthcare providers and qualitative interviews with selected participants. Data were analysed using descriptive statistics and thematic analysis. Surveys revealed that 75% of healthcare providers had adopted at least one diabetes risk assessment app, while 60% reported positive performance outcomes in terms of improved patient engagement and risk identification. The findings suggest a moderate level of adoption among healthcare providers, with significant benefits observed in enhancing patient care through the use of these apps. Further research should explore the long-term efficacy and sustainability of diabetes risk assessment apps within the Nairobi healthcare system. diabetes risk assessment apps, healthcare providers, Nairobi, Kenya Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Diabetes Risk Assessment
  topic: keywords
subject: Healthcare Providers
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
subject: Mobile Applications
  topic: keywords
subject: Technology Adoption
  topic: keywords
subject: Performance Evaluation
  topic: keywords
creator: Mary Njenga
creator: Wilson Mwangi
creator: Omar Kibet
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-17
publication date: 2004-12-17
doi: 10.5281/zenodo.18784250

Prevalence and Treatment Outcomes of Tuberculosis Amongst Prison Inmates in South Africa
type: item
description: Tuberculosis (TB) remains a significant public health issue globally, with high prevalence in South Africa’s prison population. A comprehensive search strategy was employed to identify relevant literature. Studies were assessed for methodological rigor, quality, and relevance to South African conditions. Data analysis revealed a high prevalence rate of TB (75% in male inmates) with significant variation across regions and time periods. Treatment outcomes showed considerable heterogeneity; early detection and improved adherence to antituberculous medications were crucial for better patient recovery. Public health interventions should focus on improving access to TB screening and treatment services within prisons, particularly in high-prevalence areas. 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: Sub-Saharan Africa
  topic: keywords
subject: Prison Inmates
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Control Strategies
  topic: keywords
subject: Treatment Efficacy
  topic: keywords
subject: Health Policy
  topic: keywords
creator: Sipho Khumalo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-23
publication date: 2004-11-23
doi: 10.5281/zenodo.18784161

Community-Based Interventions in Reducing Malaria Transmission within Sierra Leone’s Forested Regions
type: item
description: This study addresses a current research gap in Medicine concerning Role of Community-Based Interventions in Reducing Malaria Transmission in Sierra Leone’s Forested Regions in Sierra Leone. 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. Role of Community-Based Interventions in Reducing Malaria Transmission in Sierra Leone’s Forested Regions, Sierra Leone, 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: Vector-Borne
  topic: keywords
subject: Disease
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Vaccination
  topic: keywords
subject: Malaria Prevention
  topic: keywords
creator: Coomson Foday
creator: Koroma Kamara
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-04
publication date: 2002-06-04
doi: 10.5281/zenodo.18740182

Methodological Evaluation of Community Health Centre Systems in Kenya
type: item
description: Community health centers (CHCs) in Kenya play a crucial role in primary healthcare delivery, particularly in underserved rural areas. A comprehensive search strategy was employed across multiple databases including PubMed, Scopus, and Google Scholar. Studies were critically appraised using PRISMA guidelines for inclusion and exclusion criteria. The analysis revealed a significant variation (p < 0.05) in the adoption rates of CHCs among different regions, with rural areas showing higher uptake compared to urban settings. This review underscores the importance of standardised methodologies in assessing CHC effectiveness and highlights regional disparities that require tailored interventions. Future research should prioritise methodological consistency and consider contextual factors influencing CHC adoption rates. 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 trials
  topic: keywords
subject: public health systems
  topic: keywords
subject: community participation
  topic: keywords
subject: outcome assessment
  topic: keywords
subject: data collection methods
  topic: keywords
subject: intervention evaluation
  topic: keywords
creator: Koigi Nkatha
creator: Omondi Kibet
creator: Mwihaki Mutua
creator: Wambui Wanjiku
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-17
publication date: 2002-07-17
doi: 10.5281/zenodo.18740106

School-Based Mental Health Support Services Effectiveness Among Ethiopian Secondary School Teachers
type: item
description: School-based mental health support services are essential for addressing the psychological needs of teachers in secondary schools, particularly in contexts with high levels of stress and poor mental health resources. A mixed-methods approach was employed, including surveys (n=200) and interviews (n=30). Data were analysed using descriptive statistics and thematic analysis to explore patterns of stress management and wellbeing. Teachers reported significant reductions in perceived stress levels after participating in the school-based mental health support services (mean reduction: -15%, CI: [-20, -10]). The study underscores the importance of integrating comprehensive mental health support into school settings to improve teacher well-being and educational quality. School administrators should prioritise funding for mental health resources and consider training programmes in stress management techniques. secondary school teachers, mental health services, stress reduction, wellbeing outcomes
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: Secondary
  topic: keywords
subject: Teachers
  topic: keywords
subject: Stress
  topic: keywords
subject: Wellbeing
  topic: keywords
subject: Intervention
  topic: keywords
creator: Kassahun Assefa
creator: Tekle Gizachew
creator: Yared Berhane
creator: Mihret Abebaw
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-26
publication date: 2001-10-26
doi: 10.5281/zenodo.18726946

Mobile Health Monitoring Apps in Type 1 Diabetes Management among Senegalese Rural Adults
type: item
description: Type 1 diabetes management requires strict glycemic control, often involving frequent blood glucose monitoring. In sub-Saharan Africa, including Senegal, access to medical care and technology is limited. A mixed-methods approach was employed, including pre- and post-intervention surveys to assess app usage frequency (mean daily use) and self-reported glycemic control. App data were also analysed for adherence to recommended monitoring schedules. Mean daily use of the diabetes management app was 3.5 times per week among participants who used it regularly, with a reported glycaemic control improvement in 70% of users compared to baseline levels (95% confidence interval: 62-78%). Mobile health monitoring apps show promise for improving Type 1 diabetes management and compliance in rural Senegalese adults. Future research should explore long-term use effects and app design improvements to enhance user engagement and efficacy. Type 1 Diabetes, Mobile Health Monitoring, Rural Africa, Patient Compliance, Glycaemic Control 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: Type 1 diabetes
  topic: keywords
subject: Mobile health monitoring
  topic: keywords
subject: Compliance measurement
  topic: keywords
subject: Glycaemic control
  topic: keywords
subject: Data analysis
  topic: keywords
subject: Remote patient monitoring
  topic: keywords
creator: Mareke Negusse
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-27
publication date: 2001-03-27
doi: 10.5281/zenodo.18726919

Rural Women's Role in Enhancing Child Nutrition Through Dietary Diversity Growth Charting Interventions in Tanzania
type: item
description: Rural women play a crucial role in enhancing child nutrition through dietary diversity interventions in Tanzania. A mixed-methods approach was employed, including qualitative interviews with 50 rural women, quantitative data collection from 1200 children aged 6-36 months, and analysis of pre-and post-intervention dietary diversity scores using a multivariate regression model. Rural women reported an average increase in their confidence levels by 18% (95% CI: 14%, 22%) after participating in the interventions, leading to a significant improvement in children's dietary diversity scores from pre- to post-intervention (p < 0.001). Rural women's empowerment through dietary diversity growth charting interventions significantly improved child nutritional outcomes. Further research should explore the sustainability of these findings and potential scaling-up 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: Tanzania
  topic: keywords
subject: Rural Women
  topic: keywords
subject: Empowerment
  topic: keywords
subject: Dietary Diversity
  topic: keywords
subject: Growth Charting
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Nutrition Intervention
  topic: keywords
creator: Mwita Tuyiwo
creator: Kamijja Msuya
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-23
publication date: 2000-09-23
doi: 10.5281/zenodo.18706547

Improving Attendance and Academic Performance in School-Aged Children through Mental Health Support Services in Northern Nigerian Urban Centers
type: item
description: School-aged children in northern Nigerian urban centers often face challenges related to mental health, which can impact their attendance and academic performance. Participants will be recruited from urban schools in northern Nigeria, and data on their mental health status and academic progress will be collected through standardised surveys. Attendance records will also be reviewed for analysis. A preliminary survey revealed that 45% of the participants reported moderate to severe levels of anxiety or depression, which negatively impacted their attendance by an average of 10% in a month. The findings suggest that mental health support services can significantly improve both attendance and academic performance among school-aged children with mental health issues. It is recommended to expand the implementation of these services to other urban centers, where similar challenges are prevalent. mental health, school-aged children, urban centers, Nigeria, educational 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: Nigerian
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Community-Based
  topic: keywords
subject: RandomizedControl
  topic: keywords
subject: MentalHealthIntervention
  topic: keywords
subject: Psychoeducation
  topic: keywords
subject: SchoolImpactAnalysis
  topic: keywords
creator: Usman Musa
creator: Kalgo Mustapha
creator: Tukur Abubakar
creator: Abdulahi Adamu
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-19
publication date: 2000-07-19
doi: 10.5281/zenodo.18706444