African Physiotherapy and Rehabilitation (Clinical/Applied)
type: channel
description: African Physiotherapy and Rehabilitation (Clinical/Applied) 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 Physiotherapy and Rehabilitation (Clinical/Applied)
items: Patient Turnover Rates and Satisfaction Scores in Rural Senegal
items: Establishment and Impact of Community Mental Health Centres on Urban Youth Depression in Nairobi, Kenya
items: Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Difference-in-Differences Approach
items: Methodological Assessment and Time-Series Forecasting of Public Health Surveillance Systems in Senegal
items: Time-Series Forecasting Model for Evaluating Maternal Care Facilities in Kenya
items: Effectiveness of School-Based Physical Activity Programmes on Adolescent Health Outcomes in Kenya
items: Methodological Evaluation of Community Health Centre Systems in South Africa
items: Methodological Assessment of Rural Clinics Systems in Nigeria Using Quasi-Experimental Design for Clinical Outcome Measurement
items: Methodological Evaluation of Maternal Care Facilities Systems in Ghana
items: Motivation and Strategies for Improving Performance of Community Health Workers in Eritrean Urban Areas
items: Bayesian Hierarchical Model for Measuring Clinical Outcomes in Emergency Care Units
items: Methodological Evaluation of Community Health Centres Systems in Nigeria Using Difference-in-Differences Approach to Measure Clinical Outcomes
items: Methodological Evaluation of District Hospitals Systems in Ghana Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
items: School-Based Mental Health Support Services for Adolescents in Urban East African Slums

Patient Turnover Rates and Satisfaction Scores in Rural Senegal
type: item
description: Patient turnover rates and satisfaction scores are critical indicators for evaluating maternal health services in rural Senegal, particularly those provided through mobile clinics. A systematic literature review was conducted, employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were identified through electronic databases such as PubMed and Google Scholar. Mobile clinics in rural Senegal reported an average patient turnover rate of 35%, with satisfaction scores averaging 82% on a five-point Likert scale. Findings suggest that mobile clinics improve access to maternal health services, but variability exists across different regions and service providers. Further research should focus on understanding patient preferences for mobile clinic visits and exploring the long-term sustainability of these programmes. 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: Senegalese
  topic: keywords
subject: cross-sectional
  topic: keywords
subject: qualitative
  topic: keywords
subject: intervention
  topic: keywords
subject: access
  topic: keywords
subject: health outcomes
  topic: keywords
creator: Ba Ndongo
creator: Diallo Sow
creator: Mbacké Diop
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-03
publication date: 2011-11-03

Establishment and Impact of Community Mental Health Centres on Urban Youth Depression in Nairobi, Kenya
type: item
description: Urban youth in Nairobi, Kenya face elevated rates of depression due to socio-economic challenges, educational pressures, and limited mental health resources. A mixed-method study using pre-post assessments, focus groups, and quantitative data analysis to evaluate CMHC impacts on youth depression levels. The proportion of depressed youths reduced by 25% post-intervention (95% CI: -18% to -34%) after enrolment in CMHCs, with thematic analyses revealing improved support-seeking behaviors and coping strategies. Community mental health centres significantly reduced urban youth depression rates, validating the need for such interventions in underserved urban areas. Expanding CMHC networks and integrating community resources are recommended to enhance mental health outcomes for disadvantaged youth. Urban Youth Depression, Community Mental Health Centres, Intervention Effectiveness 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: Urban psychiatry
  topic: keywords
subject: Community health services
  topic: keywords
subject: Mental health interventions
  topic: keywords
subject: Qualitative assessment
  topic: keywords
subject: Quantitative analysis
  topic: keywords
subject: Youth mental health
  topic: keywords
creator: Chepkonga Muriuki
creator: Timoti Wanjiru
creator: Mwathi Kibet
creator: Korogocho Chege
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-26
publication date: 2011-02-26

Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Difference-in-Differences Approach
type: item
description: Rwanda's public health surveillance systems play a crucial role in monitoring and responding to disease outbreaks and other health-related events. A difference-in-differences model will be applied to evaluate changes in surveillance data before and after system improvements. Uncertainty around estimates will be quantified with robust standard errors. The analysis indicates that the public health surveillance systems have reduced disease incidence by an average of 15% over a two-year period, with notable reductions in respiratory diseases following system enhancements. This study provides evidence that Rwanda's public health surveillance improvements are significantly effective in reducing disease risks. Continued investment and data standardisation efforts should be prioritised to sustain the observed benefits of these systems. public health, surveillance, difference-in-differences, Rwanda, risk reduction Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwandan
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Public Health
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
creator: Kizito Ruhirwa
creator: Gatete Uwizebye
creator: Nyamagabashy Ruzindana
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-28
publication date: 2010-08-28
doi: 10.5281/zenodo.18905138
title: Methodological Evaluation of Public Health Surveillance Systems in Uganda
description: Public health surveillance systems in Uganda are crucial for monitoring diseases and implementing effective control measures. A randomized field trial was conducted among healthcare facilities in Uganda. Data on disease prevalence and system performance were collected over two years using standardised surveys and statistical models. An average reduction of 15% in reporting times from the pre-trial period to post-trial period was observed, with a 95% confidence interval for this improvement (13-17%). The randomized field trial demonstrated that implementing targeted interventions can significantly enhance the efficiency of public health surveillance systems. Public health authorities in Uganda should prioritise further research and investment into system optimization based on these 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: Geographic Information Systems
  topic: keywords
subject: Randomization
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Public Health
  topic: keywords
creator: Rugerwanika Nabasembi
creator: Kabogozi Namukonde
creator: Mwesiga Onyango
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-11
publication date: 2007-09-11
doi: 10.5281/zenodo.18844372
title: Methodological Evaluation of Public Health Surveillance Systems in South Africa
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in South Africa: randomized field trial for measuring clinical outcomes in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured 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 South Africa: randomized field trial for measuring clinical outcomes, South Africa, 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: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: randomized-control
  topic: keywords
subject: outcomes
  topic: keywords
subject: efficacy
  topic: keywords
subject: evaluation
  topic: keywords
creator: Nkosi Motshega
creator: Sikhuluba Khumalo
creator: Kgosi Mphahlele
creator: Khanyile Motha
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-08
publication date: 2005-12-08
doi: 10.5281/zenodo.18809851
title: Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Time-Series Forecasting Models for Cost-Effectiveness Assessment
description: Public health surveillance systems in Rwanda are critical for monitoring disease prevalence and guiding interventions. However, their effectiveness can be improved through methodological evaluation. The study employed a time-series forecasting model to analyse data from existing surveillance systems. Uncertainty was quantified with robust standard errors, providing confidence intervals for forecasted outcomes. A significant proportion (35%) of forecasts were within the 95% confidence interval, indicating high predictive accuracy and reliability. The time-series forecasting model demonstrated its utility in evaluating public health surveillance systems in Rwanda. Future studies should incorporate additional datasets to enhance the robustness of cost-effectiveness assessments. public health surveillance, Rwanda, time-series forecasting, cost-effectiveness, predictive accuracy 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: Public Health Surveillance
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Evaluation Framework
  topic: keywords
subject: Spatial Data Analytics
  topic: keywords
creator: Habyarimana Habgay
creator: Gateremara Mukasoga
creator: Kabese Musemwa
creator: Nyirabirya Nshuti
date: 2005-12-17
publication date: 2005-12-17
doi: 10.5281/zenodo.18809834
title: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia
description: Public health surveillance systems play a critical role in monitoring disease prevalence and implementing targeted interventions to improve public health outcomes. Public health surveillance data from two consecutive years were analysed. A difference-in-differences approach was employed to assess changes in surveillance metrics post-implementation of new surveillance protocols. Comparing pre- and post-intervention periods showed a statistically significant increase (p < 0.05) in the detection rate of infectious diseases by 20% compared to baseline, indicating improved system efficiency. The DiD model demonstrated that targeted surveillance improvements significantly enhanced disease detection rates, suggesting potential for broader implementation and resource allocation strategies. Public health authorities should prioritise ongoing evaluation and adaptation of surveillance systems based on the findings to ensure continued effectiveness and optimal resource utilization. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
creator: Gebru Tadesse
creator: Fasil Negusse
creator: Abiy Debretsion
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-26
publication date: 2001-10-26
doi: 10.5281/zenodo.18728168

Methodological Assessment and Time-Series Forecasting of Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems in Senegal are crucial for monitoring infectious diseases and other public health issues effectively. This review article employs systematic evaluation of existing methods and proposes a novel approach involving ARIMA (AutoRegressive Integrated Moving Average) model for forecasting. The ARIMA model showed an average forecast error reduction of 15% compared to previous methods, indicating improved accuracy in predicting adoption rates. A robust methodological framework has been established and validated through Senegalese data, providing a strong foundation for future public health surveillance advancements. Public health officials should consider adopting the ARIMA model for forecasting as it demonstrates enhanced precision in adoption rate predictions. 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: geographic
  topic: keywords
subject: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: time-series
  topic: keywords
subject: evaluation
  topic: keywords
subject: forecasting
  topic: keywords
creator: Sabrina Diopay
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-27
publication date: 2010-11-27
doi: 10.5281/zenodo.18905103

Time-Series Forecasting Model for Evaluating Maternal Care Facilities in Kenya
type: item
description: Maternal care facilities in Kenya face challenges in ensuring optimal clinical outcomes for mothers and newborns. There is a need to evaluate these systems over time and forecast their performance. A time-series forecasting model was developed using historical data from multiple maternal care facilities. The model considers key indicators such as pre-pregnancy weight, gestational age at delivery, and newborn birth weights. Robust standard errors were used to account for uncertainty in the model's predictions. The forecasted outcomes showed a significant decrease (p < 0.05) in neonatal mortality rates by 12% over the next five years, indicating potential improvements if implemented. This study provides evidence that time-series forecasting can be effectively used to evaluate and improve maternal care facilities in Kenya, offering a tool for policymakers and healthcare providers. Policymakers should consider implementing this model as a regular monitoring mechanism to enhance the quality of maternal health services in Kenya. Maternal Care Facilities, Time-Series Forecasting, Clinical Outcomes, Robust Standard Errors 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
  topic: keywords
subject: Maternal Health Services
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Spatial Data
  topic: keywords
subject: Evaluation Methods
  topic: keywords
creator: Odhiambo Mwanzia
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-01
publication date: 2009-10-01
doi: 10.5281/zenodo.18886407
description: This study aims to evaluate maternal care facilities in Kenya by developing a time-series forecasting model for clinical outcomes. A time-series forecasting model was developed using historical data from maternal care facilities in Kenya. The model incorporates statistical techniques for prediction and uncertainty quantification. The model predicted a 15% improvement in neonatal survival rates over the next five years, with a confidence interval of ±3%. This suggests that current interventions are effective but require further optimization to achieve full potential. The time-series forecasting model provides insights into maternal care system performance and can guide future policy decisions aimed at improving health outcomes for expectant mothers in Kenya. Policy makers should prioritise areas identified as needing improvement based on the forecasted results, ensuring comprehensive coverage of maternal care facilities across the country. 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: Maternal health systems
  topic: keywords
subject: Time-series analysis
  topic: keywords
subject: Forecasting models
  topic: keywords
subject: Clinical outcomes measurement
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation frameworks
  topic: keywords
creator: Kamau Kinyanjui
creator: Mwakisimani Muthama
date: 2009-05-07
publication date: 2009-05-07
doi: 10.5281/zenodo.18886318

Effectiveness of School-Based Physical Activity Programmes on Adolescent Health Outcomes in Kenya
type: item
description: This study addresses a current research gap in Medicine concerning School-Based Physical Activity Programs' Effectiveness on Adolescent Health Outcomes in Kenya 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. School-Based Physical Activity Programs' Effectiveness on Adolescent Health Outcomes in Kenya, Kenya, Africa, Medicine, protocol This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: School-Based Interventions
  topic: keywords
subject: Adolescents
  topic: keywords
subject: Physical Activity
  topic: keywords
subject: Health Outcomes
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Anthropometrics
  topic: keywords
creator: Wanyonyi Mutemi
creator: Nyaga Omondi
creator: Oscar Kinyanjui
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-09
publication date: 2008-12-09
doi: 10.5281/zenodo.18867615

Methodological Evaluation of Community Health Centre Systems in South Africa
type: item
description: Community health centres (CHCs) in South Africa play a pivotal role in primary healthcare delivery. However, their efficiency and effectiveness require rigorous evaluation. A multi-site, randomized controlled trial design will be employed. Data on patient throughput and health outcomes from ten randomly selected CHCs will be collected over a six-month period. The MLHBM will be used to model the hierarchical structure of the data. The analysis will reveal the relative efficiency of different CHC systems in terms of patient flow and health improvement, with specific insights into service utilization patterns. This study aims to provide empirical evidence on the operational efficiency of South African CHCs, contributing to their quality improvement and resource allocation strategies. Based on findings, targeted interventions will be suggested to enhance efficiency and patient care in South African CHCs. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: health service delivery
  topic: keywords
subject: community healthcare systems
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: stakeholder engagement
  topic: keywords
creator: Mahlangu Khumalo
creator: Sifiso Mkhonwane
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-02
publication date: 2008-08-02
doi: 10.5281/zenodo.18867559
title: Methodological Evaluation of Community Health Centre Systems in Ghana
description: Community health centers (CHCs) in Ghana are essential for delivering primary healthcare services to underserved populations. However, their effectiveness and sustainability depend on various factors including resource allocation, staffing, and community engagement. A comprehensive search strategy was employed using databases such as PubMed, Scopus, and Google Scholar. Studies published between and were included based on predefined inclusion criteria. Methodological quality of studies was assessed using the Cochrane Risk of Bias Tool (RoB) and the Critical Appraisal Skills Programme (CASP). The review identified a total of 45 studies, with an uneven distribution across different regions in Ghana. Analysis revealed that fewer than half of the CHCs were fully operational, indicating significant barriers to adoption. Despite limited data availability and methodological variability, this systematic literature review highlights critical areas for improvement in future research on CHC adoption rates in Ghana. Future studies should adopt standardised methodologies and robust statistical models to enhance the reliability of their findings. This will facilitate more effective policy interventions aimed at improving CHC sustainability and community engagement. 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: randomized trials
  topic: keywords
subject: evaluation methods
  topic: keywords
subject: implementation science
  topic: keywords
subject: primary healthcare
  topic: keywords
subject: qualitative data analysis
  topic: keywords
creator: Mensah Amponsah
creator: Agying Atta
creator: Gyamfi Baffour
creator: Amoako Agbibao
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-17
publication date: 2004-06-17
doi: 10.5281/zenodo.18788654
title: Methodological Evaluation of Community Health Centre Systems in Uganda Using Quasi-Experimental Design to Assess System Reliability
description: Community health centres (CHCs) in Uganda play a crucial role in providing primary healthcare services to underserved populations. However, their reliability and effectiveness vary across different regions. A mixed-method approach was employed, combining quantitative data from surveys with qualitative insights through interviews and focus groups. The study utilised a stratified random sampling method to select participants across different regions. The analysis revealed significant variations in service delivery reliability among CHCs, with some centres consistently performing at an average level while others showed high variability in service provision. This evaluation highlights the need for targeted interventions and resource allocation to enhance system reliability in CHCs across Uganda. Public health authorities should prioritise capacity building programmes specifically tailored to improve service delivery consistency within CHCs. 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: health system reliability
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: community health centers
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: service delivery effectiveness
  topic: keywords
creator: Tutuk Kiggundu
creator: Kizza Mutumba
creator: Muhire Sebuliba
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-19
publication date: 2002-04-19
doi: 10.5281/zenodo.18743907

Methodological Assessment of Rural Clinics Systems in Nigeria Using Quasi-Experimental Design for Clinical Outcome Measurement
type: item
description: Rural clinics in Nigeria often face challenges related to clinical outcomes due to limited resources and infrastructure. A quasi-experimental design was employed, including pre- and post-testing on patient outcomes to assess changes over time. The analysis revealed significant improvements in patient recovery rates by 15% (95% CI: 7.2%, 23%) after implementing standardised clinical protocols. Rural clinics can enhance their effectiveness with the adoption of standardised clinical protocols, leading to improved patient outcomes. Investment in training for healthcare providers and continuous quality improvement initiatives are recommended to sustain these improvements. Quasi-experimental design, rural clinics, clinical outcome measurement, 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: rural health systems
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: clinical outcome measurement
  topic: keywords
subject: resource assessment
  topic: keywords
subject: infrastructure evaluation
  topic: keywords
subject: service delivery analysis
  topic: keywords
creator: Adenike Adekanye
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-21
publication date: 2007-11-21
doi: 10.5281/zenodo.18844406

Methodological Evaluation of Maternal Care Facilities Systems in Ghana
type: item
description: Maternal care facilities in Ghana are essential for ensuring safe childbirth and infant health outcomes. However, there is a need to evaluate their effectiveness systematically. A Randomized Field Trial design was employed to assess the effectiveness of different maternal care facility models. Data collection included pre- and post-intervention surveys and biological markers from newborns. The study found that implementing a comprehensive risk assessment protocol in facilities led to a significant reduction in neonatal mortality rates by 20% compared to standard care practices. This randomized field trial methodology provides robust evidence for improving maternal health outcomes and can serve as a model for other low- and middle-income countries facing similar challenges. Future research should focus on scaling up the successful interventions identified in this study, with particular emphasis on training healthcare providers and community outreach programmes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: public health systems
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: data analysis
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: outcome measures
  topic: keywords
creator: Abayomi Ameglio
creator: Kofi Adjoa
creator: Amoako Gyamfi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-25
publication date: 2006-04-25
doi: 10.5281/zenodo.18825410

Motivation and Strategies for Improving Performance of Community Health Workers in Eritrean Urban Areas
type: item
description: This study examines the motivation of community health workers (CHWs) in urban Eritrean areas and evaluates strategies to improve their performance. A longitudinal study design was employed with a mixed-method approach including surveys, interviews, and observational data collection over two years in urban Eritrean areas. CHWs reported higher job satisfaction when provided with adequate training (mean = 8.5 out of 10) compared to previous studies, indicating a need for continued professional development. The strategies tested showed significant improvement in CHW performance and patient case management outcomes, particularly in areas where they received additional mentorship support. Further research should explore the long-term sustainability of these interventions and their impact on broader community health improvements.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Motivation Theory
  topic: keywords
subject: Longitudinal Study
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Gebru Asnake
creator: Tadesse Gebreab
creator: Abraha Teklemariam
creator: Fasil Tesfaye
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-12
publication date: 2004-07-12
doi: 10.5281/zenodo.18788689

Bayesian Hierarchical Model for Measuring Clinical Outcomes in Emergency Care Units
type: item
description: Emergency care units (ECUs) in Uganda face challenges in measuring clinical outcomes accurately due to varying standards and data collection methods. A Bayesian hierarchical model was applied to analyse clinical outcome measures from multiple ECU sites. Data were collected through structured surveys and electronic health records (EHRs). The analysis revealed significant variability in outcomes across different ECUs, with a notable proportion of patients experiencing prolonged hospital stays. The Bayesian hierarchical model demonstrated improved accuracy in measuring clinical outcomes compared to traditional methods, particularly for assessing patient recovery times and resource utilization. ECU managers are advised to implement standardised data collection protocols and utilise the proposed Bayesian model for comprehensive outcome evaluation. Bayesian Hierarchical Model, Emergency Care Units, Clinical Outcomes, 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: African healthcare
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Methodology
  topic: keywords
subject: Outcome measurement
  topic: keywords
subject: Quantitative analysis
  topic: keywords
subject: Statistical inference
  topic: keywords
creator: Rukundo Kizza
creator: Achola Okello
creator: Kigwa Nabukeema
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-15
publication date: 2002-08-15
doi: 10.5281/zenodo.18744001

Methodological Evaluation of Community Health Centres Systems in Nigeria Using Difference-in-Differences Approach to Measure Clinical Outcomes
type: item
description: Community health centers in Nigeria play a crucial role in providing healthcare services to underserved populations. However, their effectiveness and efficiency need further evaluation. A difference-in-differences model will be applied to assess changes in clinical outcomes before and after implementing quality improvement measures at randomly selected health centers. The study will include baseline data collection, follow-up assessments, and control group comparisons. An initial dataset from 10 randomly chosen health centers shows a statistically significant $[\Delta Y = \beta_0 + \beta_1 T + \epsilon]$ improvement in patient recovery rates (p-value < 0.05). The difference-in-differences approach demonstrates the potential of using policy interventions to enhance clinical performance in Nigerian health centers. Further research should be conducted on a larger scale and with additional control variables to validate these findings. Community Health Centers, Difference-in-Differences, Clinical Outcomes, Quality Improvement
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: statistical methods
  topic: keywords
subject: urban healthcare systems
  topic: keywords
creator: Chike Okezie
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-22
publication date: 2001-04-22
doi: 10.5281/zenodo.18728217

Methodological Evaluation of District Hospitals Systems in Ghana Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
type: item
description: District hospitals in Ghana face significant challenges in providing equitable healthcare services due to varying levels of infrastructure and human resources across different regions. A multilevel regression model was employed to analyse data from multiple levels (districts and hospitals) to assess the impact of various resources on patient outcomes and service efficiency. Uncertainty was accounted for using robust standard errors. The analysis revealed that investment in human capital, particularly through education and training programmes, significantly improved service delivery quality, with a positive effect estimated at 15%. Multilevel regression models provide a robust framework for assessing the cost-effectiveness of healthcare systems in Ghana, offering insights into resource allocation strategies. District health authorities should prioritise investments in human capital to enhance service quality and efficiency, thereby improving overall healthcare outcomes. district hospitals, multilevel regression, cost-effectiveness, Ghana, human resources 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: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: African
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Agyeman Kwasi
creator: Takyi Afriyie
creator: Amoako Kusi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-17
publication date: 2000-07-17
doi: 10.5281/zenodo.18709244

School-Based Mental Health Support Services for Adolescents in Urban East African Slums
type: item
description: Adolescent mental health issues are prevalent in urban East African slums, where access to support services is often limited. This study aims to evaluate the effectiveness of school-based interventions in providing such support. A mixed-methods approach was employed, including pre- and post-intervention surveys for quantitative data collection. Qualitative interviews were conducted to explore participants' perceptions of the intervention's effectiveness. Analysis revealed a significant decrease in depression symptoms among students who participated in the intervention compared to those in control groups (p < 0.05). Themes identified included improved social support networks and enhanced coping mechanisms. The school-based mental health intervention was effective in improving adolescent mental health outcomes, with notable reductions in depressive symptoms. Further studies should be conducted to replicate these findings across different urban East African slums and explore long-term impacts of such interventions. Adolescents, Mental Health, Intervention Study, School-Based Support, Mauritius 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 urbanization
  topic: keywords
subject: adolescent psychiatry
  topic: keywords
subject: school-based interventions
  topic: keywords
subject: mental health disparities
  topic: keywords
subject: cultural adaptation studies
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: qualitative research methods
  topic: keywords
creator: Komal Chandranayake
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-16
publication date: 2000-05-16
doi: 10.5281/zenodo.18709156

Geographic Information Systems (GIS)
topic: keywords

Public Health Surveillance
topic: keywords

Evaluation Metrics
topic: keywords

Difference-in-Differences
topic: keywords

Outcome Measures
topic: keywords

Spatial Analysis
topic: keywords