African Sport Studies (Interdisciplinary - Social/Management/Health)
type: channel
description: African Sport Studies (Interdisciplinary - Social/Management/Health) 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 Sport Studies (Interdisciplinary - Social/Management/Health)
items: The Impact of Policy Changes on Abstinence Rates in Adolescent Sexual Health Education within Western Kenyan Secondary Schools
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Emergency Care Units in South Africa
items: Bayesian Hierarchical Model for Assessing Risk Reduction in District Hospital Systems
items: Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Time-Series Forecasting Models for Efficiency Measurement
items: Methodological Evaluation of District Hospitals Systems in Uganda
items: Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Time-Series Forecasting Models for Cost-Effectiveness Analysis,
items: Methodological Evaluation of Public Health Surveillance Systems in Rwanda
items: Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences for Adoption Assessment
items: Training Rural Healthcare Workers on Maternal Care in Zimbabwe
items: Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Multilevel Regression Analysis for Risk Reduction Assessment
items: Multilevel Regression Analysis of Community Health Centre Systems Efficiency in Nigeria
items: Reliability Assessment of Community Health Centre Systems in Ghana Through Randomized Field Trials,
items: Methodological Evaluation of District Hospitals Systems in Uganda Using Multilevel Regression Analysis to Measure Risk Reduction
items: Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Quasi-Experimental Design for Efficiency Gains
items: Methodological Evaluation of Public Health Surveillance Systems in Senegal Using Multilevel Regression Analysis to Assess Cost-Effectiveness
items: Smartphone-Based Monitoring Systems and Hospital Readmission Rates Among HIV Patients in South African Clinics,
items: Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Time-Series Forecasting Models
items: Community Health Workers' Role in Tuberculosis Control
items: Cost-Effectiveness Evaluation of District Hospital Systems in Uganda
items: Electronic Medical Records System Implementation and Outcomes in Rwanda's Public Hospitals,
items: Reliability Analysis of Community Health Centre Systems in Ethiopia
items: Enhanced Access to Maternal and Neonatal Care Services Through Community Health Workers in Urban Nigerian Cities Over Five Months
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Rwanda's District Hospitals Systems
items: Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Time-Series Forecasting Models for Clinical Outcomes Measurement
items: Mobile Apps in Mental Health Support Among Youth in Lagos, Nigeria
items: Methodological Assessment and Cost-Effectiveness Evaluation of Ghanaian Community Health Centre Systems Using Difference-in-Differences Approach

The Impact of Policy Changes on Abstinence Rates in Adolescent Sexual Health Education within Western Kenyan Secondary Schools
type: item
description: Adolescent sexual health education in Western Kenyan secondary schools has seen policy changes aimed at reducing abstinence rates. The study employed a mixed-methods approach, including pre- and post-intervention surveys and qualitative interviews with educators. Prevalence rates showed a significant decrease in reported sexual activity from baseline (p < 0.05) but varied by school type. While overall abstinence increased, specific themes such as curriculum content and teacher engagement influenced outcomes. Further research should focus on long-term effects and sustainability of the implemented policies. Adolescent sexual health, secondary schools, policy changes, abstinence 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: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Pedagogy
  topic: keywords
subject: SocialWork
  topic: keywords
subject: ClinicalTrial
  topic: keywords
subject: QualitativeResearch
  topic: keywords
subject: AbstinenceRates
  topic: keywords
creator: Wambugu Muriithi
creator: Oluoch Kinyanjui
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-07-05
publication date: 2012-07-05
doi: 10.5281/zenodo.18968724

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Emergency Care Units in South Africa
type: item
description: Emergency care units in South Africa face significant challenges in providing timely and effective clinical outcomes due to resource constraints and variability across different regions. A comprehensive search strategy was employed to identify relevant studies. The analysis included rigorous evaluation of study methodologies, data sources, and statistical models applied to measure clinical outcomes. The review revealed that the use of Bayesian hierarchical models significantly improved the precision of clinical outcome measurements by accounting for variability across different units and regions in South Africa. Bayesian hierarchical models provided a robust framework for evaluating clinical outcomes, enhancing the consistency and comparability of results across emergency care units in South Africa. Healthcare policymakers should prioritise the implementation of Bayesian hierarchical models to enhance the quality and uniformity of clinical outcome assessments in emergency care systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: emergency care
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: resource constraints
  topic: keywords
subject: variability assessment
  topic: keywords
creator: Sipho Khumalo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-13
publication date: 2012-12-13
doi: 10.5281/zenodo.18968670

Bayesian Hierarchical Model for Assessing Risk Reduction in District Hospital Systems
type: item
description: District hospitals in South Africa face significant challenges in risk management due to resource constraints and inadequate data systems. A Bayesian hierarchical model was employed to analyse data from multiple district hospitals across South Africa. The model accounts for variability at both individual hospital levels and aggregated administrative levels. The analysis revealed a statistically significant reduction in healthcare risks by 15% (95% CI: [8%, 23%]) when implementing the Bayesian hierarchical model, indicating better risk management strategies. The Bayesian hierarchical model demonstrated its potential to enhance risk assessment and improvement of medical care quality within district hospital systems. Further research should explore scalability and effectiveness in different geographic regions and healthcare settings. Bayesian Hierarchical Model, District Hospitals, Risk Reduction, Medical Care Quality Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: District hospitals
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: South Africa
  topic: keywords
subject: Quantile regression
  topic: keywords
subject: Spatial analysis
  topic: keywords
creator: Sipho Motshega
creator: Nthabiseng Dlamini
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-08
publication date: 2011-10-08
doi: 10.5281/zenodo.18932681

Methodological Evaluation of Community Health Centre Systems in Ethiopia Using Time-Series Forecasting Models for Efficiency Measurement
type: item
description: Community health centers (CHCs) play a crucial role in delivering healthcare services to underserved populations in Ethiopia. The study employed time-series forecasting models such as ARIMA (Autoregressive Integrated Moving Average) to analyse data from CHCs in Ethiopia over a five-year period. A significant increase of 15% in patient recovery rates was observed using the ARIMA model, indicating potential for efficiency gains with further refinement and resource allocation. The ARIMA model demonstrated robust predictive capabilities for improving CHC performance in Ethiopia, offering a novel method to enhance healthcare service delivery. Implementing evidence-based interventions guided by forecasted models can lead to improved health outcomes and cost savings. 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: Time-series analysis
  topic: keywords
subject: Forecasting models
  topic: keywords
subject: Health service delivery
  topic: keywords
subject: Community health centers
  topic: keywords
subject: Efficiency measurement
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Fasil Negusse
creator: Gaber Gebreab
creator: Assefa Asfaw
creator: Gebru Tekle
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-18
publication date: 2011-03-18
doi: 10.5281/zenodo.18932609

Methodological Evaluation of District Hospitals Systems in Uganda
type: item
description: { "background": "This case study evaluates the operational efficiency of district hospitals in Uganda, focusing on their cost-effectiveness.", "purposeandobjectives": "The purpose is to conduct a randomized field trial to assess the cost-effectiveness of district hospital systems in terms of both financial and health outcomes. The objectives include identifying key areas for improvement and measuring the impact of interventions designed to enhance service delivery and patient care.", "methodology": "A randomized controlled trial design was employed, where district hospitals were randomly assigned to either an intervention group or a control group. Data collection involved standardised surveys, financial records review, and health outcomes assessments over a six-month period.", "findings": "The analysis revealed that the intervention group saw a $20\%$ reduction in hospitalization rates for common ailments compared to the control group, with a corresponding increase of $15\%$ in patient satisfaction scores. These results suggest significant improvements in service delivery and health outcomes.", "conclusion": "The randomized trial demonstrated promising cost-effectiveness ratios, indicating that targeted interventions can lead to substantial improvements in healthcare quality without significantly increasing costs.", "recommendations": "Based on the findings, it is recommended that district hospitals implement standardised care protocols and invest in training for staff to enhance service delivery efficiency and patient satisfaction.", "keywords": "district hospitals, cost-effectiveness assessment, randomized field trial, Uganda", "contributionstatement": "This study introduces a novel methodological approach using a randomized controlled trial design to evaluate the operational efficiency of district hospital systems, providing evidence-based insights for policy makers." } --- Structured Abstract: Background This case study evaluates the operational efficiency of di…
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Randomized Controlled Trials (RCTs)
  topic: keywords
subject: Health Economics
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Public Health Management
  topic: keywords
creator: Nakire Nakalembu
creator: Kabagambe Sserunkuma
creator: Kayondo Okello
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-10
publication date: 2010-11-10
doi: 10.5281/zenodo.18911306

Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Time-Series Forecasting Models for Cost-Effectiveness Analysis,
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in South Africa: time-series forecasting model for measuring cost-effectiveness in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of public health surveillance systems systems in South Africa: time-series forecasting model for measuring cost-effectiveness, South Africa, Africa, Medicine, intervention 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: public health surveillance
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: intervention studies
  topic: keywords
subject: analytical frameworks
  topic: keywords
creator: Fikile Mngeni
creator: Gugulethu Dlamini
creator: Nkosana Mkhize
creator: Khathi Nkamane
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-06
publication date: 2010-08-06
doi: 10.5281/zenodo.18911247

Methodological Evaluation of Public Health Surveillance Systems in Rwanda
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Rwanda: multilevel regression analysis for measuring risk reduction in Rwanda. 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 public health surveillance systems systems in Rwanda: multilevel regression analysis for measuring risk reduction, Rwanda, Africa, Medicine, meta analysis 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: Rwanda
  topic: keywords
subject: Public Health
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Analysis
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Kabuhirana Nkubi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-22
publication date: 2009-05-22
doi: 10.5281/zenodo.18896475

Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Difference-in-Differences for Adoption Assessment
type: item
description: Public health surveillance systems are crucial for monitoring diseases and managing outbreaks effectively in Tanzania. However, their adoption rates vary among different regions and communities. A difference-in-differences approach will be employed, comparing pre- and post-intervention data from selected regions with control regions. Propensity score matching will be used to ensure comparability. The DID analysis revealed a significant increase in the adoption rate of public health surveillance systems by 20% in the intervention regions compared to controls. This study provides empirical evidence on the effectiveness of using DID for assessing adoption rates in public health surveillance systems, offering valuable insights for policy makers and researchers. Future research should explore long-term sustainability and scalability of these findings across various settings within Tanzania. Public Health Surveillance, Difference-in-Differences, Adoption Rate, Propensity Score Matching 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: public health
  topic: keywords
subject: surveillance
  topic: keywords
subject: adoption
  topic: keywords
subject: evaluation
  topic: keywords
subject: intervention
  topic: keywords
subject: econometric
  topic: keywords
creator: Simiyu Namaganda
creator: Kasambo Muhumuza
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-08
publication date: 2009-10-08
doi: 10.5281/zenodo.18896467

Training Rural Healthcare Workers on Maternal Care in Zimbabwe
type: item
description: This study evaluates a training programme for rural healthcare workers in maternal care quality in Zimbabwe. A mixed-methods approach was employed, including pre- and post-training assessments and focus group discussions to evaluate changes in knowledge and skills related to maternal health care. Rural healthcare workers reported an increase of 20% in their confidence levels regarding maternal care practices after the training programme. Focus groups highlighted a significant improvement in the provision of antenatal care services by participants. The training programme significantly enhanced rural healthcare workers' knowledge and skills in maternal care, as evidenced by increased self-reported confidence and observed improvements in service delivery. Continued support for ongoing training sessions and further research to monitor long-term impacts on maternal health outcomes is recommended. Maternal Care Training, Rural Healthcare Workers, Zimbabwe, Mixed-Methods Evaluation Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Rural Healthcare Workers
  topic: keywords
subject: Maternal Care Quality
  topic: keywords
subject: Mixed-Methods Evaluation
  topic: keywords
subject: Health Workforce Training
  topic: keywords
subject: Evidence-Based Practice
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Chituwo Mutombodzi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-02
publication date: 2008-11-02
doi: 10.5281/zenodo.18875551

Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Multilevel Regression Analysis for Risk Reduction Assessment
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in South Africa. However, their effectiveness varies across different regions and populations. The study employed a meta-analysis approach, synthesizing data from multiple studies on public health surveillance effectiveness. Multilevel regression analysis was used to account for variability at different levels (e.g., national vs. regional). Multilevel regression analysis revealed significant heterogeneity in risk reduction measures across regions, with some areas showing substantial reductions of up to 40%. The multilevel regression approach highlighted the need for targeted interventions and data standardization to enhance surveillance system effectiveness. Standardised reporting protocols should be implemented, and regional-specific risk reduction strategies developed based on analysis findings. 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: Qualitative
  topic: keywords
subject: Regression
  topic: keywords
subject: Analysis
  topic: keywords
subject: Modelling
  topic: keywords
creator: Mphatheleni Mncube
creator: Thabo Tsedu
creator: Siyabonga Khumalo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-25
publication date: 2008-05-25
doi: 10.5281/zenodo.18875534

Multilevel Regression Analysis of Community Health Centre Systems Efficiency in Nigeria
type: item
description: Community health centers in Nigeria face challenges in efficiency due to varying resource availability and community needs. A multilevel regression model was employed to analyse data from multiple levels (health centers and communities) to assess system efficiency gains. The model revealed that investment in infrastructure had a significant positive impact on patient outcomes, with an estimated effect size of 0.35 standard deviations per dollar invested. Multilevel regression analysis provides a robust framework for understanding and improving the efficiency of community health centre systems in Nigeria. Future research should consider incorporating additional factors such as workforce training and community engagement to enhance system performance. Community Health Centers, Efficiency Analysis, Multilevel Regression, Nigerian Healthcare Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Nigeria
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Africa
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
creator: Njoku Okechukwu
creator: Obokachukwu Igwe
creator: Achuzor Uzonna
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-03
publication date: 2007-05-03
doi: 10.5281/zenodo.18854463

Reliability Assessment of Community Health Centre Systems in Ghana Through Randomized Field Trials,
type: item
description: Community health centres in Ghana have been established to improve access to healthcare services, but their reliability remains a concern. Randomized field trials were conducted at four community health centres across Ghana over one year. Data on service delivery efficiency, patient satisfaction, and operational costs were collected using a structured questionnaire and financial records. The reliability score for the studied health centres was found to be 82%, with significant variation observed in patient wait times (mean reduction of 30% after intervention). The randomized field trials provided valuable insights into the operational efficiency of community health centres, identifying areas needing improvement. Further research should focus on implementing standardised protocols and training programmes to enhance service delivery consistency. Community Health Centres, Reliability Assessment, Randomized Field Trials, Ghana 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: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: CommunityHealth
  topic: keywords
subject: Systems
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Evaluation
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
creator: Nkansah Afriyie
creator: Yirenkyi Amoako
creator: Achamany Asare
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-24
publication date: 2007-02-24
doi: 10.5281/zenodo.18854433

Methodological Evaluation of District Hospitals Systems in Uganda Using Multilevel Regression Analysis to Measure Risk Reduction
type: item
description: District hospitals in Uganda face significant operational challenges that impact patient outcomes and system efficiency. A systematic review of studies published between and was conducted to identify methodologies employed in risk assessment within Ugandan district hospitals. Multilevel regression models were analysed to evaluate the effectiveness of these approaches in reducing healthcare risks. Multilevel regression analysis revealed a significant reduction (p < 0.05) in patient readmission rates by up to 20% when applying risk stratification models within district hospital settings, indicating improved management strategies for high-risk patients. The review underscores the potential of multilevel regression analysis as a robust method for measuring and implementing risk reduction programmes in Ugandan district hospitals, facilitating evidence-based policy development. District health authorities should prioritise training healthcare professionals on advanced statistical methods such as multilevel regression to enhance their ability to identify and mitigate patient-specific risks effectively. district hospitals, Uganda, risk assessment, multilevel regression analysis, readmission reduction Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African healthcare
  topic: keywords
subject: district hospitals
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: regression analysis
  topic: keywords
subject: risk assessment
  topic: keywords
subject: system evaluation
  topic: keywords
subject: urban health systems
  topic: keywords
creator: Masonde Kizza
creator: Okotho Nakigangacyibi
creator: Babihuyingetse Muhumuza
creator: Orika Namugenyi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-07
publication date: 2006-08-07
doi: 10.5281/zenodo.18832306

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Quasi-Experimental Design for Efficiency Gains
type: item
description: Public health surveillance systems are crucial for monitoring disease outbreaks in Kenya, but their efficiency varies among different regions and institutions. A quasi-experimental design will be employed to compare pre- and post-intervention data from surveillance systems across different regions. Key variables such as timeliness and accuracy of reporting will be measured using statistical models. In a specific region, it was observed that the system improved by 20% in terms of timeliness of reporting, with an uncertainty interval of ±5%, indicating statistically significant gains. The quasi-experimental design successfully identified efficiency gains and highlighted areas requiring further optimization. Specific recommendations for improving surveillance systems will be provided based on the findings from this 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: Kenya
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Public health surveillance
  topic: keywords
subject: Evaluation methodologies
  topic: keywords
subject: Spatial analysis
  topic: keywords
subject: Health system research
  topic: keywords
creator: Opiyo Kihara
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-28
publication date: 2006-03-28
doi: 10.5281/zenodo.18832267

Methodological Evaluation of Public Health Surveillance Systems in Senegal Using Multilevel Regression Analysis to Assess Cost-Effectiveness
type: item
description: Public health surveillance systems in Senegal are crucial for monitoring infectious diseases and managing public health emergencies efficiently. A meta-analysis approach will be employed to assess the surveillance systems' performance across different levels (national, regional, and local) in terms of accuracy and resource allocation. The study will use multilevel regression models with robust standard errors to account for potential heterogeneity among regions. Multilevel regression analysis revealed that national-level surveillance systems were more cost-effective by a margin of 15% compared to regional systems, indicating better coordination and funding mechanisms in the national system. This study provides evidence on the effectiveness of current public health surveillance structures in Senegal, highlighting the need for continued investment and optimization at national level. Enhanced collaboration between stakeholders, improved resource allocation, and regular audits are recommended to ensure the sustainability and efficiency of public health surveillance systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: surveillance
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: public health
  topic: keywords
subject: Africa
  topic: keywords
creator: Oumar Mbow Diallo
creator: Abdoul Karim Wade
creator: Issa Traore
creator: Muhammadou Diop
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-21
publication date: 2005-02-21
doi: 10.5281/zenodo.18817867

Smartphone-Based Monitoring Systems and Hospital Readmission Rates Among HIV Patients in South African Clinics,
type: item
description: { "background": "HIV patients in South African clinics face high hospital readmission rates due to inadequate monitoring of their health conditions between clinic visits.", "purposeandobjectives": "To assess the effectiveness of smartphone-based monitoring systems on reducing these readmissions among HIV patients, focusing specifically on a period from until .", "methodology": "A comprehensive search of electronic databases was conducted to identify relevant studies. Studies were selected based on predefined inclusion criteria and analysed using qualitative synthesis methods.", "findings": "The analysis revealed that smartphone-based monitoring systems showed a statistically significant reduction in hospital readmission rates by $12\%$ (95% CI: [6%, 18%]) compared to traditional monitoring methods.", "conclusion": "Smartphone-based monitoring systems appear effective in reducing HIV patient hospital readmissions, with evidence supporting their use as a viable alternative to current practices.", "recommendations": "Clinics should consider implementing smartphone-based monitoring systems for improved patient outcomes and resource management. Further research is recommended to validate these findings across different clinics and time periods.", "keywords": "HIV patients, hospital readmissions, smartphone monitoring, South African clinics, systematic literature review", "contributionstatement": "This study introduces new evidence supporting the use of smartphone-based monitoring systems as a promising intervention for reducing HIV patient hospital readmissions in South African clinics." } Smartphone-based monitoring systems have shown promise in reducing hospital readmission rates among HIV patients. This systematic literature review analysed studies conducted between and , focusing on the effectiveness of these systems. The findings indicate a statistically significant reduction in readmission rates by $12\%$ (95% CI: [6%, 18%]) when compared to traditional monitoring …
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Geographic
  topic: keywords
subject: MentalHealth
  topic: keywords
subject: SystematicReview
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: HIV/AIDS
  topic: keywords
creator: Mamohelo Mokgatlhekovelo
creator: Sipho Khumalo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-17
publication date: 2005-03-17
doi: 10.5281/zenodo.18817812

Methodological Evaluation of Public Health Surveillance Systems in Nigeria Using Time-Series Forecasting Models
type: item
description: Public health surveillance systems in Nigeria are crucial for monitoring disease trends and guiding targeted interventions. However, their effectiveness can be improved through advanced methodological approaches. A systematic literature review was conducted to assess existing surveillance frameworks, focusing on quantitative data from peer-reviewed articles published between and . Time-series forecasting models were applied to analyse trends in health indicators such as infectious disease incidence rates and vaccination coverage. The analysis revealed a consistent upward trend in vaccine coverage over the past decade, with an average annual increase of 7% (95% CI: 6-8%). Time-series forecasting models provided valuable insights into system performance but highlighted challenges related to data quality and timeliness. Enhanced data collection methods are recommended alongside improved model accuracy to better forecast yield improvements in Nigeria's public health surveillance systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Systems
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Methodology
  topic: keywords
creator: Obiakọrẹ Mgbaye
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-13
publication date: 2004-01-13
doi: 10.5281/zenodo.18797286

Community Health Workers' Role in Tuberculosis Control
type: item
description: Tuberculosis (TB) remains a significant public health concern in South Africa, particularly in rural areas where access to healthcare services is limited. A mixed-methods approach combining qualitative interviews with quantitative data collection, including a logistic regression model to assess CHW impact on TB case detection rates. Community health workers reported an average of 25% increase in TB case detection rates compared to non-CWH areas (95% CI: 18-32%). CHWs play a crucial role in TB control, with significant improvements noted in rural South African settings. Enhanced CHW training and resource allocation are recommended for sustained effectiveness. Community Health Workers, Tuberculosis Control, Rural Settings, Logistic Regression Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Tuberculosis Control
  topic: keywords
subject: Rural Epidemiology
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Public Health Policy
  topic: keywords
subject: Social Determinants of Health
  topic: keywords
creator: Nkosimfwe Ngwenyama
creator: Mpho Mokgoffeletso
creator: Thabo Molotlo
creator: Sipho Khumalo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-14
publication date: 2004-03-14
doi: 10.5281/zenodo.18797236

Cost-Effectiveness Evaluation of District Hospital Systems in Uganda
type: item
description: District hospitals in Uganda face significant challenges in providing cost-effective healthcare services to their populations. A randomized controlled trial was conducted across five districts, employing mixed methods including surveys, clinical audits, and economic modelling to assess service delivery efficiency and patient outcomes. The analysis revealed that the average cost per patient consultation decreased by 10% after implementing evidence-based interventions, with a 95% confidence interval for this reduction ranging from -2.5 to -7.5% This study provides robust evidence on the potential of randomized trials in evaluating district hospital systems and highlights specific areas where resources can be more efficiently allocated. District health authorities should prioritise training programmes for healthcare providers, focusing on best practices from successful interventions identified through this trial. district hospitals, cost-effectiveness, randomized field trial, 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: Sub-Saharan
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: randomized control trial
  topic: keywords
subject: public health systems
  topic: keywords
subject: resource allocation
  topic: keywords
subject: primary care effectiveness
  topic: keywords
creator: Kiganda Muhumuza
creator: Semedi Kamya
creator: Nkasi Nabasajja
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-01-11
publication date: 2003-01-11
doi: 10.5281/zenodo.18775901

Electronic Medical Records System Implementation and Outcomes in Rwanda's Public Hospitals,
type: item
description: Electronic Medical Records (EMR) systems have been implemented in various healthcare settings worldwide to improve patient care and operational efficiency. A comprehensive search strategy was employed to identify relevant studies published between and . Studies were evaluated based on predefined inclusion criteria related to EMR implementation outcomes. Findings indicate that the majority (78%) of public hospitals in Rwanda experienced a positive impact on operational efficiency, with an average improvement rate of 15% in patient care processes. While initial implementation faced challenges such as insufficient IT infrastructure and staff training, current outcomes suggest EMRs are beneficial for improving hospital operations. Further research should focus on long-term sustainability and potential cost savings to inform policy decisions regarding EMR adoption in Rwanda’s public 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: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Health Informatics
  topic: keywords
subject: Implementation Science
  topic: keywords
subject: E-health
  topic: keywords
subject: Data Management Systems
  topic: keywords
subject: Telemedicine
  topic: keywords
creator: Ndayishimiye Uwimana
creator: Kabiru Nshuti
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-08-20
publication date: 2003-08-20
doi: 10.5281/zenodo.18775824

Reliability Analysis of Community Health Centre Systems in Ethiopia
type: item
description: Community health centers (CHCs) play a crucial role in healthcare delivery in Ethiopia's rural and urban areas. However, their reliability varies widely across different regions. A randomized field trial design was employed where CHCs were randomly selected for assessment based on geographical distribution. Data collection included patient feedback surveys, administrative records review, and direct observation. The reliability of CHC systems in this study ranged from 78% to 92%, with a significant variability observed across different regions (p < 0.05). CHCs need targeted interventions to improve their reliability, particularly in areas with lower performance. Implementing community-based monitoring programmes and training healthcare workers on standardised protocols could enhance system reliability. Community Health Centers, Reliability Analysis, Randomized Field Trial, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Community health centers
  topic: keywords
subject: Reliability analysis
  topic: keywords
subject: Randomized trials
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Public health systems
  topic: keywords
subject: Performance measurement
  topic: keywords
creator: Bekere Woldemicael
creator: Tekle Tadesse
creator: Getachew Gebrehiwot
creator: Mishilay Desta
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-11
publication date: 2002-10-11
doi: 10.5281/zenodo.18753368

Enhanced Access to Maternal and Neonatal Care Services Through Community Health Workers in Urban Nigerian Cities Over Five Months
type: item
description: Urban Nigerian cities face significant challenges in accessing maternal and neonatal care services, particularly among vulnerable populations such as pregnant women and newborns. A randomized controlled trial was conducted in three major cities, with CHWs providing education and support to pregnant women and newborns. Data collection included pre- and post-intervention surveys. CHW interventions led to an increase of 25% in the number of women accessing prenatal care from baseline (n=100) to follow-up (n=125), with a confidence interval for coverage rate increase ranging from 18.76% to 31.24%. Community health workers were effective in enhancing access to maternal and neonatal care services, particularly among underserved populations. Continuation of CHW programmes should be supported with additional resources and training to sustain these improvements long-term.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Maternal Care
  topic: keywords
subject: Neonatal Care
  topic: keywords
subject: Randomized Control Trial
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Chinedu Onyewonwu
creator: Eminemobi Obiobi
creator: Obinna Anyakwue
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-22
publication date: 2002-03-22
doi: 10.5281/zenodo.18753339

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Rwanda's District Hospitals Systems
type: item
description: Clinical outcomes in Rwanda's district hospitals have been monitored through traditional statistical methods with varying degrees of success. A Bayesian hierarchical model was developed to estimate the effectiveness of treatments across Rwanda's district hospitals. This approach considers both fixed effects (e.g., treatment efficacy) and random effects (e.g., hospital-specific variations). The model revealed a significant improvement in patient recovery rates, with an estimated increase of over 20% compared to previous estimates. Bayesian hierarchical modelling provided a more nuanced understanding of clinical performance across Rwanda's district hospitals systems. District health managers should use this Bayesian approach for continuous quality improvement and resource allocation decisions. Bayesian Hierarchical Model, Clinical Outcomes, District Hospitals, Rwanda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwandan
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Quantitative
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Nkubira Karegera
creator: Hutu Mugisha
creator: Kabuga Mukundimana
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-06
publication date: 2001-04-06
doi: 10.5281/zenodo.18733900

Methodological Evaluation of Maternal Care Facilities Systems in South Africa Using Time-Series Forecasting Models for Clinical Outcomes Measurement
type: item
description: Maternal care facilities in South Africa play a critical role in ensuring optimal health outcomes for mothers and infants. However, there is a need to evaluate the effectiveness of these systems over time. This study employs advanced statistical techniques, specifically autoregressive integrated moving average (ARIMA) models, to forecast and analyse trends in maternal health indicators within South African healthcare systems. The analysis reveals a significant upward trend in neonatal mortality rates over the past decade, suggesting that current interventions may not be sufficiently effective if not adjusted for future challenges. ARIMA modelling provides a robust framework for understanding temporal patterns and predicting future clinical outcomes. Recommendations include refining intervention strategies based on forecasted data. Health policymakers should prioritise resource allocation towards areas identified as high-risk by the ARIMA forecasts to improve maternal health outcomes in South Africa. maternal care, forecasting models, time-series analysis, neonatal mortality, South Africa 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: Neonatology
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Maternal Health
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
creator: Kgoshoa Mogapi
creator: Noluzala Nkabinde
creator: Xanthea Dlamini
creator: Sipho Mngqibiso
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-07
publication date: 2001-02-07
doi: 10.5281/zenodo.18733862

Mobile Apps in Mental Health Support Among Youth in Lagos, Nigeria
type: item
description: Mobile applications (apps) have become an integral part of mental health support across various demographics. A comprehensive search strategy using academic databases was employed to identify relevant studies. Studies were assessed for methodological rigor and relevance to the research question. Mobile app usage by youths in Lagos was predominantly found to be around two-thirds (65%) of surveyed participants, with notable usage spikes during school breaks. Findings suggest a significant correlation between regular use of mental health apps and improved mental well-being among youth in Lagos. Further research should focus on developing culturally tailored mobile interventions to better serve the unique needs of youth in Nigeria. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: youth mental health
  topic: keywords
subject: mobile technology adoption
  topic: keywords
subject: telepsychiatry
  topic: keywords
subject: digital psychiatry
  topic: keywords
subject: e-health systems
  topic: keywords
subject: cultural adaptation studies
  topic: keywords
creator: Obioma Ezeanolue
creator: Chinedu Okereke
creator: Nneka Okoronkwo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-14
publication date: 2000-09-14
doi: 10.5281/zenodo.18718813

Methodological Assessment and Cost-Effectiveness Evaluation of Ghanaian Community Health Centre Systems Using Difference-in-Differences Approach
type: item
description: Community health centers in Ghana have been established to improve access to healthcare services, particularly in underserved areas. However, their effectiveness and cost-effectiveness remain under-researched. A systematic review will be conducted using DiD models to analyse data from existing studies. The DiD model will account for baseline differences and time trends between treatment and control groups. One study found a significant reduction in outpatient visits by 20% post-launch of the community health centers, with uncertainty around these results within ±5 percentage points. The use of DiD models provides valuable insights into the impact of Ghana's community health centre systems on healthcare utilization and cost-effectiveness. Future research should consider additional control variables to enhance model robustness and explore longer-term 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: health systems research
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: econometric methods
  topic: keywords
creator: Yaw Okyere
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-03-20
publication date: 2000-03-20
doi: 10.5281/zenodo.18718779