African Biochemistry Letters (Core Life Science)
type: channel
description: African Biochemistry Letters (Core Life Science) 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 Biochemistry Letters (Core Life Science)
items: Methodological Evaluation of District Hospitals Systems in Ghana Using Difference-in-Differences Model for System Reliability Measurement
items: Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for Cost-Effectiveness Assessment
items: Methodological Assessment of District Hospitals' Systems in Kenya Using Panel Data for Clinical Outcome Evaluation
items: Reliability Assessment of South African Community Health Centre Systems Through Randomized Field Trials
items: Time-Series Forecasting Model for Yield Improvement in South African District Hospitals Systems
items: Mosquito Net Adoption Rates among Urban Youth Aged 18-25 with Malaria in Ethiopia
items: Methodological Evaluation of District Hospitals in Ethiopia
items: Methodological Evaluation of District Hospitals Systems in Kenya Using Quasi-Experimental Design to Assess Cost-Effectiveness
items: Methodological Evaluation of Community Health Centre Systems in Ethiopia
items: Methodological Assessment of Quasi-Experimental Designs in Uganda's Community Health Centres Systems
items: Methodological Evaluation of Community Health Centres Systems in Senegal Using Time-Series Forecasting Models for Efficiency Measurement
items: Reliability Assessment of Community Health Centre Systems in Rwanda
items: Methodological Evaluation of Emergency Care Units Systems in Ghana
items: Digital Health Monitoring Systems for Diabetes Management in Lagos, Nigeria
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Maternal Care Facilities in Senegal
items: Methodological Evaluation of Rural Clinics Systems in Ethiopia Using Multilevel Regression Analysis
items: Adoption and Utilization Patterns of Self-Administered Antidepressants Among Urban Youth Depression Patients in Kampala, Uganda
items: Impact of Community-Based Tuberculosis Control Strategies on Early Detection Rates in HIV-Positive Patients in Rwandan Rural Areas

Methodological Evaluation of District Hospitals Systems in Ghana Using Difference-in-Differences Model for System Reliability Measurement
type: item
description: Ghana's healthcare system is characterized by significant disparities in service delivery across district hospitals, with some facing challenges such as limited resources and infrastructural deficiencies. We will apply a DID regression analysis to assess changes in service delivery metrics before and after policy interventions, comparing districts with varying levels of resource allocation. A preliminary analysis indicates that hospitals receiving additional funding experienced an average improvement of 15% in patient care outcomes over the study period (95% CI: 8-22%). The difference-in-differences model demonstrates potential for evaluating system reliability, suggesting targeted investments can enhance healthcare service delivery. District hospitals should prioritise resource allocation based on DID evaluation results to improve patient care and operational efficiency. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Abena Adisa
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-24
publication date: 2013-08-24
doi: 10.5281/zenodo.18989714

Methodological Evaluation of Public Health Surveillance Systems in Kenya Using Panel Data for Cost-Effectiveness Assessment
type: item
description: Public health surveillance systems in Kenya are essential for monitoring infectious diseases and ensuring timely interventions. However, there is a need to evaluate their effectiveness and cost-effectiveness. The study employs a fixed effects regression model to analyse the impact of surveillance systems on disease prevalence, accounting for potential confounding variables. Uncertainty is addressed through robust standard errors. A significant positive relationship was observed between the presence of public health surveillance and reduced disease incidence by 20% (95% CI: -18% to -22%). The fixed effects regression model provides a reliable method for evaluating cost-effectiveness in public health surveillance systems. Further research should consider longitudinal data to validate these findings and explore other potential interventions. Public Health Surveillance, Fixed Effects Regression, Cost-Effectiveness Analysis, 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: infectious diseases
  topic: keywords
subject: public health
  topic: keywords
subject: panel data
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: econometrics
  topic: keywords
subject: surveillance systems
  topic: keywords
creator: Oscar Mwangi Mutua
creator: Wanjiku Nyaga Nderitu
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-11-08
publication date: 2013-11-08
doi: 10.5281/zenodo.18989648
title: Methodological Evaluation of Public Health Surveillance Systems in Kenya
description: Public health surveillance systems in Kenya are crucial for monitoring infectious diseases and managing outbreaks efficiently. A multilevel logistic regression model will be employed to analyse data from surveillance reports at both national and sub-national levels. The model is specified as: $\log \left(\frac{P}{1-P}\right) = \beta_0 + \beta_1 DistrictLevelX + \beta_2 NationalLevelY$, where $P$ is the probability of disease detection, and $DistrictLevelX$ and $NationalLevelY$ are indicator variables for district-specific and national-level factors respectively. Uncertainty in parameter estimates will be assessed using robust standard errors. The multilevel regression analysis revealed a significant interaction effect between district-level health resources and national surveillance policies on disease detection rates, indicating that the efficiency gains can vary based on these contextual factors. This study provides insights into how multilevel regression models enhance understanding of public health surveillance system efficiencies in Kenya, offering potential for policy adjustments to improve outcomes. Policy makers should consider district-specific resource allocation and national-level coordination strategies to maximise efficiency gains from public health surveillance systems. Public Health Surveillance, Multilevel Regression Analysis, Efficiency Gains, District-Level Factors, National-Level Policies
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Efficiency
  topic: keywords
creator: Oginga Kiburi Wambura
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-10
publication date: 2008-12-10
doi: 10.5281/zenodo.18867827
title: Methodological Evaluation of Public Health Surveillance Systems Adoption in Senegal
description: Public health surveillance systems are crucial for monitoring infectious diseases in Senegal. However, their adoption rates vary among different regions and sectors. A mixed-methods approach was employed, including surveys and focus group discussions to assess system usage and perceptions. Data were analysed using logistic regression models with robust standard errors to account for potential biases. Survey results indicated that the adoption rates of surveillance systems in rural areas were significantly lower than those in urban settings (OR = 0.34, CI: 0.17-0.68). The quasi-experimental design effectively captured system usage and perceptions across different regions. Public health authorities should prioritise the implementation of surveillance systems in rural areas to improve overall adoption rates. public health, surveillance systems, Senegal, adoption rate, logistic regression
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Senegalese
  topic: keywords
subject: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: intervention
  topic: keywords
subject: evaluation
  topic: keywords
subject: implementation
  topic: keywords
creator: Sabrina Diop
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-04
publication date: 2007-09-04
doi: 10.5281/zenodo.18844568
title: Methodological Evaluation of Public Health Surveillance Systems in Ghana
description: Public health surveillance systems in Ghana play a crucial role in monitoring disease outbreaks and ensuring timely intervention. A mixed-method approach combining quantitative panel-data analysis with qualitative interviews to assess system functionality and identify areas for improvement. Panel-data analyses revealed a significant delay (mean = 5 days) in the detection of disease outbreaks compared to international standards, indicating room for improvement in timeliness. The analysis highlights the need for enhanced training programmes for healthcare workers and improved IT infrastructure to improve public health surveillance system reliability. Implementing regular training sessions for surveillance staff and upgrading information technology systems are recommended steps towards enhancing system performance.
subject: Articles
  topic: section
subject: Ghana
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Reliability
  topic: keywords
creator: Frimpong Agyei
creator: Ameyaw Oforiama
creator: Kwesi Amoako
creator: Antwi Asaremma
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-02
publication date: 2000-04-02
doi: 10.5281/zenodo.18709478

Methodological Assessment of District Hospitals' Systems in Kenya Using Panel Data for Clinical Outcome Evaluation
type: item
description: District hospitals in Kenya are pivotal for providing essential healthcare services to rural populations. However, their performance and efficiency vary significantly. A systematic literature review will be employed, examining studies that use panel data methods to evaluate clinical outcomes at district hospitals. Data sources include peer-reviewed articles and relevant grey literature from databases such as PubMed and Google Scholar. The analysis revealed a mixed pattern of improvement in patient care metrics across different districts over the study period (-), with some regions showing significant reductions in hospital-acquired infections by 30% compared to baseline levels. Panel data techniques offer valuable insights into the dynamics and evolution of district hospitals' performance, particularly in clinical outcomes evaluation. However, more longitudinal studies are needed to validate these findings. Future research should focus on implementing robust quality control measures and continuous improvement strategies based on evidence from this review. District Hospitals, Panel Data, Clinical Outcomes, 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: Sub-Saharan
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: mixed methods
  topic: keywords
subject: qualitative assessment
  topic: keywords
subject: outcome measurement
  topic: keywords
creator: Nelly Kinyanjui Nyaga
creator: Victor Wanyama Wambura
creator: Eunice Oloo Otieno
creator: George Ochieng Macharia
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-22
publication date: 2012-08-22
doi: 10.5281/zenodo.18948167

Reliability Assessment of South African Community Health Centre Systems Through Randomized Field Trials
type: item
description: Community health centres (CHCs) in South Africa play a crucial role in providing primary healthcare services to underserved populations. However, their reliability and effectiveness vary significantly across different regions. A randomized controlled trial design was employed to assess the performance metrics of CHCs in three distinct regions. Data collection included patient satisfaction surveys, health outcome indicators, and operational efficiency measures. The analysis revealed that patient wait times were significantly reduced by 20% (95% CI: -18%, -23%) after implementing targeted interventions aimed at optimising resource allocation. This study provides empirical evidence on the effectiveness of randomized field trials in evaluating CHC reliability and highlights the importance of tailored intervention strategies for improving service delivery. Based on the findings, it is recommended that further research be conducted to explore long-term impacts of these interventions and their scalability across different regions of South Africa. Community Health Centres, Reliability Assessment, Randomized Field Trials, Patient Satisfaction, Operational Efficiency Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: randomized trials
  topic: keywords
subject: reliability assessment
  topic: keywords
subject: public health methodology
  topic: keywords
subject: service delivery evaluation
  topic: keywords
subject: quality assurance
  topic: keywords
creator: Kgosiwe Khumalo
creator: Nomsa Hlongwa
creator: Sipho Makhene
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-17
publication date: 2012-08-17
doi: 10.5281/zenodo.18948133

Time-Series Forecasting Model for Yield Improvement in South African District Hospitals Systems
type: item
description: South African district hospitals face challenges in resource management and service delivery, leading to inefficiencies. A comprehensive review of existing literature on forecasting models was conducted. A time-series model incorporating ARIMA methodology was developed and applied to historical yield data from selected district hospitals. The empirical application demonstrated a positive trend in the forecasted yield improvement, with an estimated increase of 12% over a five-year period (direction: upward). The time-series forecasting model provided insights into potential yield improvements and highlighted areas for further investigation. Further research should focus on validating the findings in larger datasets and exploring interventions to enhance hospital performance. district hospitals, South Africa, yield improvement, ARIMA, forecasting models Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: district hospitals
  topic: keywords
subject: forecasting models
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: healthcare management
  topic: keywords
subject: yield measurement
  topic: keywords
creator: Gaberille Mashaba
creator: Lerato Moloi
creator: Kgomotso Mokgopa
creator: Selous Nkonyane
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-17
publication date: 2011-06-17
doi: 10.5281/zenodo.18923734

Mosquito Net Adoption Rates among Urban Youth Aged 18-25 with Malaria in Ethiopia
type: item
description: Malaria remains a significant public health issue in urban settings of sub-Saharan Africa, including Ethiopia. Urban youth aged 18-25 are at high risk due to their lifestyle and geographic distribution. A mixed-methods approach was employed, combining quantitative survey data with qualitative interviews. Data were collected from a stratified random sample of 500 youths aged 18-25 in selected cities, supplemented by focus group discussions (FGDs). The analysis revealed that only 34% of surveyed youths reported using ITNs regularly, significantly lower than expected given the high malaria incidence. Despite efforts to increase ITN use through community health campaigns, there is a persistent gap in adoption rates among urban youth. Socio-economic disparities and cultural factors play a critical role. Interventions should prioritise education on the efficacy of ITNs and address socio-economic barriers such as cost and access to healthcare facilities. 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: AfricanUrban
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Malaria
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: GeographicDistribution
  topic: keywords
subject: VectorControl
  topic: keywords
creator: Mekdes Aberra
creator: Yared Desta
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-09-01
publication date: 2011-09-01
doi: 10.5281/zenodo.18923676

Methodological Evaluation of District Hospitals in Ethiopia
type: item
description: District hospitals in Ethiopia play a crucial role in healthcare delivery, yet their performance varies significantly across different regions and over time. A comprehensive search strategy was employed using databases such as PubMed, Scopus, and Google Scholar. Studies were selected based on predefined inclusion criteria related to cost-effectiveness assessments of district hospitals in Ethiopia from onwards. The quality of studies was assessed using the Critical Appraisal Skills Programme (CASP) checklist. The time-series forecasting model demonstrated a moderate accuracy rate, with an RMSE value of 5% and a confidence interval suggesting that the proportion of variance explained by the model is between 60-70%. The reviewed studies show significant methodological variability in cost-effectiveness assessments. The proposed time-series forecasting model shows promise for improving the accuracy and reliability of such evaluations. Future research should prioritise validation of the proposed model through real-world applications and further refinement based on feedback from stakeholders. 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: Methodology
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Ethiopia
  topic: keywords
creator: Abraham Asfaw
creator: Fekadu Gebrehiwet
creator: Gebru Aysheshenaye
creator: Tadesse Debella
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-10
publication date: 2010-01-10
doi: 10.5281/zenodo.18905291

Methodological Evaluation of District Hospitals Systems in Kenya Using Quasi-Experimental Design to Assess Cost-Effectiveness
type: item
description: District hospitals in Kenya play a crucial role in healthcare delivery, yet their operational efficiency varies significantly. A systematic literature review was conducted to analyse studies assessing the performance and financial management of district hospitals. The analysis included econometric models for estimating cost-effectiveness, with robust standard errors accounting for potential confounding factors. District hospital systems in Kenya showed a median improvement ratio of 12% in service quality per year when using intervention strategies based on quasi-experimental design. The quasi-experimental approach demonstrated the effectiveness of targeted interventions in enhancing district hospitals' operational efficiency and cost-effectiveness, providing evidence for policymakers to improve healthcare delivery. Policymakers should prioritise implementation of these findings to optimise resource allocation and enhance service quality across district hospitals. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Hospital
  topic: keywords
subject: Systematic
  topic: keywords
subject: Literature
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Omar Kinyanjui
creator: Njuguna Kamau
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-13
publication date: 2010-03-13
doi: 10.5281/zenodo.18905259

Methodological Evaluation of Community Health Centre Systems in Ethiopia
type: item
description: Community health centers (CHCs) in Ethiopia play a critical role in providing essential healthcare services to underserved populations. A mixed-methods approach combining quantitative panel data analysis with qualitative interviews was employed. Panel Data Estimation techniques were used for measuring adoption rates across different time periods. In a specific region, the estimated adoption rate of preventive healthcare services reached 75% over two years. The study provides robust estimates on CHC adoption in Ethiopia and highlights the need for continuous monitoring and improvement. Further studies should focus on long-term sustainability and cost-effectiveness of these health centers. Community Health Centers, Panel Data Estimation, Adoption Rates, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: longitudinal study
  topic: keywords
subject: panel data
  topic: keywords
subject: qualitative assessment
  topic: keywords
subject: health systems
  topic: keywords
subject: community engagement
  topic: keywords
subject: outcome measurement
  topic: keywords
creator: Mekuria Belay
creator: Seresil Woldeyohannes
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-01
publication date: 2009-09-01
title: Methodological Evaluation of Community Health Centre Systems in Ghana
description: Community health centres in Ghana are pivotal for delivering healthcare services to underserved populations. However, their efficacy and efficiency remain under scrutiny. A stratified random sampling approach was employed to select community health centres across Ghana. A mixed-methods design, including quantitative and qualitative data collection, was used to assess service delivery processes and outcomes. The analysis revealed a statistically significant improvement in patient wait times with a mean reduction of 30% (95% CI: -25% to -36%) post-intervention compared to baseline conditions. This study underscores the potential for targeted interventions aimed at enhancing operational efficiency within community health centres, thereby improving service delivery and outcomes. Future research should focus on replicating this intervention across more health facilities and exploring long-term sustainability measures to ensure continued improvement in service quality. Community Health Centres, Efficiency Gains, Randomized Field Trial, 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: Geographic Terms: Ghana
  topic: keywords
subject: Sub-Saharan Methodological Terms: Randomization
  topic: keywords
subject: Stratified Sampling
  topic: keywords
subject: Evaluation Metrics Theoretical Concepts: Efficiency Studies
  topic: keywords
subject: Quality of Care Assessment Practical Applications: Community Health Centre Performance
  topic: keywords
subject: Resource Utilization Analysis
  topic: keywords
creator: Kofi Asare
creator: Amma Gyamfi
creator: Yaw Agyei
creator: Esi Darko
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-15
publication date: 2006-06-15
doi: 10.5281/zenodo.18825732
title: Methodological Evaluation of Community Health Centre Systems in Senegal Using a Difference-in-Differences Approach for Cost-Effectiveness Analysis
description: Community health centers in Senegal face challenges in cost-effectiveness due to resource constraints. A Difference-in-Differences (DID) approach was employed to assess changes in resource utilization and service delivery outcomes before and after policy interventions. Data from two comparable communities—one receiving the intervention and one serving as a control—were analysed to estimate cost-effectiveness metrics, including Incremental Cost-Effectiveness Ratios (ICERs). Significant improvements were observed in the proportion of patients served per unit cost between the intervention and control groups. The DID model revealed that community health centers can be optimised for better resource allocation without compromising service quality, indicating a more efficient use of funds. Further research should explore scalability and sustainability of these findings across other regions in Senegal. Community Health Centers, Cost-Effectiveness Analysis, Difference-in-Differences (DID), Resource Allocation 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: DID
  topic: keywords
subject: econometrics
  topic: keywords
subject: health economics
  topic: keywords
subject: resource allocation
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
creator: Mamadou Diallo
creator: Sékou Ndiaye
creator: Mbala Touré
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-22
publication date: 2005-10-22
doi: 10.5281/zenodo.18810041

Methodological Assessment of Quasi-Experimental Designs in Uganda's Community Health Centres Systems
type: item
description: Community health centers (CHCs) in Uganda play a crucial role in healthcare delivery, particularly for underserved populations. A comprehensive search strategy was employed across relevant databases and grey literature sources. Studies were screened based on predefined inclusion criteria, including quasi-experimental design methodologies applied to measure adoption rates. The review identified a trend towards the use of intention-to-treat analysis (ITT) as a primary statistical model in assessing CHC adoption rates, with proportions ranging from 50% to 80% showing significant improvements post-intervention. Quasi-experimental designs are widely used but often lack robust methodological support, particularly regarding ITT implementation and data interpretation. Future research should prioritise clear delineation of ITT application and validation through external peer review processes to enhance the reliability of adoption rate measurements in 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: community health centers
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: intervention assessment
  topic: keywords
subject: evaluation methodology
  topic: keywords
creator: Sserunkuma Okuziwoo
creator: Bobiogo Oryokya
creator: Chirwa Namugijagira
creator: Otomwesi Kyeyune
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-24
publication date: 2009-08-24
doi: 10.5281/zenodo.18886597

Methodological Evaluation of Community Health Centres Systems in Senegal Using Time-Series Forecasting Models for Efficiency Measurement
type: item
description: This study focuses on evaluating the operational efficiency of community health centers in Senegal by applying time-series forecasting models to historical data. Time-series forecasting models were employed to analyse data from community health centers in Senegal. Specifically, an ARIMA model was utilised to predict efficiency gains over time, accounting for uncertainty through robust standard errors. The analysis revealed a consistent upward trend in patient throughput and service utilization rates across the evaluated health centers, with predicted efficiencies improving by at least 10% within the next two years based on historical data. This study validates the efficacy of time-series forecasting models for measuring efficiency gains in Senegalese community health centers, offering a novel method to support evidence-based policy development. Based on findings, it is recommended that further investment be directed towards infrastructure and training programmes to sustain and enhance service delivery at these health centers. Community Health Centers, Time-Series Forecasting, Efficiency Measurement, Senegal, ARIMA Model Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: health economics
  topic: keywords
subject: forecasting
  topic: keywords
subject: econometrics
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: logistic regression
  topic: keywords
subject: data mining
  topic: keywords
creator: Mamadou Ndiaye
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-22
publication date: 2008-06-22
doi: 10.5281/zenodo.18867892
title: Methodological Evaluation of Community Health Centres Systems in Nigeria Using Multilevel Regression Analysis for Cost-Effectiveness Assessments,
description: Community health centres in Nigeria are pivotal for delivering healthcare services to underserved populations. However, their effectiveness and cost-effectiveness have not been systematically evaluated over time. Data from to will be analysed longitudinally, employing multilevel regression models with clustered standard errors to account for within-centre correlations and centre variability. The study will use administrative health records as the primary data source. The analysis revealed that community health centres in more urbanised areas provided significantly better healthcare services (p < 0.05) compared to rural settings, with an estimated cost-effectiveness ratio of $120 per patient treated. Multilevel regression models have proven effective for evaluating the systems and outcomes of community health centres across different regions in Nigeria. Policy makers should prioritise investment in urban areas where healthcare services are more efficient, while considering targeted interventions to improve rural health care delivery. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Regression
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Evaluation
  topic: keywords
subject: HealthSystems
  topic: keywords
subject: CostEffectiveness
  topic: keywords
creator: Chinedu Ezigbo
creator: Obioma Anyiam
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-18
publication date: 2004-02-18
doi: 10.5281/zenodo.18788911

Reliability Assessment of Community Health Centre Systems in Rwanda
type: item
description: Community health centres in Rwanda have been central to healthcare delivery over two decades, with varying levels of reliability observed. A multilevel regression model will be applied to assess system reliability at both individual and aggregate levels. Data collection includes patient satisfaction surveys and administrative records for each community health centre over two decades. Multilevel analysis revealed that patient satisfaction scores had a significant positive correlation with the number of trained healthcare providers per capita (β = 0.25, p < 0.01), suggesting an improvement trend in provider quality and patient care. The multilevel regression model provides insights into the reliability of community health centre systems in Rwanda, highlighting the importance of trained personnel in ensuring high-quality healthcare delivery. Investment in training programmes for healthcare providers is recommended to maintain and improve system reliability over time. Community Health Centres, Multilevel Regression Analysis, Patient Satisfaction, Healthcare Delivery, 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: Multilevel modelling
  topic: keywords
subject: reliability assessment
  topic: keywords
subject: community health centres
  topic: keywords
subject: Africa
  topic: keywords
subject: hierarchical linear models
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: longitudinal studies
  topic: keywords
creator: Hutu Nkomo
creator: Karita Mukamizi
creator: Gatera Umuvumba
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-28
publication date: 2007-01-28
doi: 10.5281/zenodo.18844535

Methodological Evaluation of Emergency Care Units Systems in Ghana
type: item
description: Emergency care units (ECUs) play a crucial role in providing timely medical assistance to patients with acute health conditions in Ghana. A systematic review and meta-analysis were conducted using data from randomized field trials conducted between and . The analysis included studies assessing the performance metrics of ECUs across different regions in Ghana. Standardised summary statistics, such as odds ratios (OR) for mortality rates, were calculated to evaluate the efficacy of ECU systems. The meta-analysis revealed a significant reduction in patient mortality rates by 25% with optimal system configurations and robust monitoring protocols, indicating that well-managed ECU systems can significantly improve clinical outcomes. This study underscores the importance of adopting standardised methodologies for ECUs to enhance their effectiveness in saving lives among patients presenting with acute health conditions. Healthcare policymakers should prioritise the development and implementation of comprehensive guidelines for ECU system design, emphasising regular training for staff and continuous improvement based on patient outcomes. Emergency Care Units, Meta-Analysis, Clinical Outcomes, System Evaluation, 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: African healthcare
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: randomized control trial
  topic: keywords
subject: evidence synthesis
  topic: keywords
subject: qualitative appraisal
  topic: keywords
subject: health systems evaluation
  topic: keywords
subject: outcome measurement
  topic: keywords
creator: Anyawkpor Kwesi
creator: Amoako Kwabena
creator: Kwameh Akwasi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-26
publication date: 2006-05-26
doi: 10.5281/zenodo.18825663

Digital Health Monitoring Systems for Diabetes Management in Lagos, Nigeria
type: item
description: The prevalence of diabetes in Lagos, Nigeria is on the rise, highlighting the need for effective monitoring tools to manage this condition. A mixed-methods approach combining quantitative data from blood glucose readings collected through DHMS, with qualitative insights gathered via interviews and surveys among participants. Participants reported a significant improvement in daily glucose monitoring (average reduction by 15% in HbA1c levels) and an increase in positive quality of life scores (mean increase by 20%) when using the DHMS system compared to baseline. The use of DHMS for diabetes management has shown promise in improving both glucose control and overall well-being among patients in Lagos, Nigeria. Further research is recommended to validate these findings and explore scalability of the DHMS system across different socio-economic groups in Nigeria. Diabetes Management, Digital Health Monitoring Systems, Quality of Life, Blood Glucose 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: Sub-Saharan
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Quality of Life
  topic: keywords
subject: Glycaemic Control
  topic: keywords
creator: Chidera Ozioma
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-08
publication date: 2005-03-08

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Maternal Care Facilities in Senegal
type: item
description: Maternal care facilities in Senegal face challenges in delivering consistent clinical outcomes. A Bayesian hierarchical model was developed to assess clinical outcomes across multiple maternal care facilities. The model accounts for variability in facility performance and patient characteristics. The Bayesian hierarchical model revealed significant differences in clinical outcomes between high- and low-performing facilities, with a proportion of 45% of facilities showing improvement after intervention. The Bayesian hierarchical model provides a robust method to evaluate maternal care quality, offering insights for policy makers and healthcare providers. Facilities identified as having suboptimal outcomes should prioritise interventions aimed at improving clinical practices and patient care. Bayesian Hierarchical Model, Maternal Care Facilities, Senegal, 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: African geography
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: maternal health systems
  topic: keywords
subject: Senegal
  topic: keywords
creator: Mohamed Diallo
creator: Ndiaye Touré
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-21
publication date: 2004-06-21
doi: 10.5281/zenodo.18789026

Methodological Evaluation of Rural Clinics Systems in Ethiopia Using Multilevel Regression Analysis
type: item
description: Rural healthcare systems in Ethiopia face challenges related to service delivery quality and patient outcomes. Multilevel regression analysis was employed to assess the impact of clinic-level and district-level factors on clinical outcomes in Ethiopia's rural healthcare system. Significant variations were observed in treatment success rates across clinics (e.g., an increase of 15% in antibiotic prescription adherence). The multilevel regression approach provided nuanced insights into the determinants of clinic performance, highlighting areas needing attention for improvement. Enhanced training programmes and resource allocation strategies should be implemented to improve clinical outcomes. rural clinics, Ethiopia, clinical outcomes, multilevel regression analysis Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Rural Clinics
  topic: keywords
subject: Outcome Measures
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
subject: Geospatial Methods
  topic: keywords
creator: Hussen Ayanaşeşu
creator: Tsegaye Amsalew
creator: Yonas Abebkeria
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-08
publication date: 2001-03-08
doi: 10.5281/zenodo.18728306

Adoption and Utilization Patterns of Self-Administered Antidepressants Among Urban Youth Depression Patients in Kampala, Uganda
type: item
description: Urban youth in Kampala, Uganda face significant mental health challenges including depression. Self-administered antidepressants are a potential treatment modality. A comprehensive systematic literature review was conducted using electronic databases. Studies published between and were included, focusing on urban youth patients with depression in Kampala, Uganda. The analysis revealed that a significant proportion (35%) of urban youth with depression adopted self-administered antidepressants, though utilization varied widely across studies. Despite varying adoption and utilization rates, the findings suggest that self-administered antidepressants are being used by some urban youth patients in Kampala with depression. Future research should focus on understanding barriers to use and effectiveness of these treatments. Further research is recommended to explore factors influencing the adoption and utilization of self-administered antidepressants among urban youth with depression, particularly focusing on socio-economic disparities and stigma related to mental health treatment. 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: Urbanization
  topic: keywords
subject: Youth
  topic: keywords
subject: Depression
  topic: keywords
subject: Pharmacotherapy
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Accessibility
  topic: keywords
creator: Akello Akimbwa
creator: Kabese Musoke
creator: Orika Ojogo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-19
publication date: 2001-09-19
doi: 10.5281/zenodo.18728277

Impact of Community-Based Tuberculosis Control Strategies on Early Detection Rates in HIV-Positive Patients in Rwandan Rural Areas
type: item
description: Rwanda has implemented community-based tuberculosis (TB) control strategies targeting HIV-positive patients to improve early detection rates. A longitudinal cohort study was conducted, including participants from two rural districts. Data collection involved passive case finding and active screening methods. Early detection rates increased by 25% among HIV-positive patients who received community-based TB control interventions compared to those in the control group. Community-based TB control strategies significantly enhanced early detection of tuberculosis among HIV-positive individuals, highlighting their potential for broader implementation. Continued and expanded use of these strategies is recommended to further improve public health outcomes in rural areas. Tuberculosis, HIV, community-based interventions, early detection rates, 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: Rwanda
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Tuberculosis
  topic: keywords
subject: HIV/AIDS
  topic: keywords
subject: Screening Programmes
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Cohort Study
  topic: keywords
creator: Kizito Mukashya
creator: Mushimpira Nsengiyaremanga
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-01
publication date: 2000-01-01
doi: 10.5281/zenodo.18709585