African Medical Biotechnology (Applied Science/Tech)
type: channel
description: African Medical Biotechnology (Applied Science/Tech) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Medical Biotechnology (Applied Science/Tech)
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Quasi-Experimental Design for Yield Improvement
items: Methodological Evaluation of Community Health Centre Systems in Ghana
items: Community-Based Tuberculosis Screening and Treatment Services in Tanzanian Rural Areas
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Approach for Risk Reduction Assessment
items: Evaluating Multilevel Regression Analysis to Measure Risk Reduction in Community Health Centres Systems in Uganda 2010
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Panel Data for Cost-Effectiveness Assessment
items: Multilevel Regression Analysis to Evaluate and Enhance Community Health Centre Efficiency in Nigeria
items: Staff Adoption Scores in Electronic Medical Records Systems
items: Methodological Evaluation of District Hospitals in Ghana Using Time-Series Forecasting Models for Efficiency Measurement
items: Water Sanitation Programmes' Impact on Female Students' Health in Ugandan Universities
items: Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
items: Panel Data Estimation to Assess Yield Improvement in Senegal's Community Health Centre Systems
items: Methodological Evaluation of Community Health Centres in Tanzania
items: Methodological Evaluation of Urban Primary Care Networks in Kenya
items: Impact Evaluation of School-Based Health Insurance Programmes on Immunization Coverage in Kenya's Informal Settlements,
items: Methodological Evaluation of Public Health Surveillance Systems in Kenya
items: Bayesian Hierarchical Model for Measuring Cost-Effectiveness in Community Health Centres Systems of Ethiopia
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda employing Quasi-Experimental Design to Measure Adoption Rates
items: Bayesian Hierarchical Model in Evaluating Clinical Outcomes Across Senegalese District Hospitals Systems,
items: Formation and Impact Assessment of Adolescent Mental Health Support Groups in Nigerian Cities Six Months Post Intervention
items: Methodological Evaluation of Community Health Centres Systems in South Africa
items: Methodological Evaluation of Community Health Centre Systems in Rwanda Using Difference-in-Differences Model

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Quasi-Experimental Design for Yield Improvement
type: item
description: District hospitals in Ethiopia play a vital role in healthcare delivery but face challenges related to system efficiency and yield improvement. A mixed-methods approach was employed, including surveys and observational studies. Data were analysed using regression analysis to assess yield improvements. In one district hospital, there was a significant $Y = 0.6X + 3$ improvement in treatment efficacy, with robust standard errors of ±0.1 indicating the reliability of the findings. The quasi-experimental design proved effective in measuring yield improvements and identified specific areas requiring intervention to enhance system efficiency. District hospitals should adopt a patient flow management strategy based on empirical data from this study, with further research recommended to validate these insights across different regions. district hospitals, Ethiopia, quasi-experimental design, yield improvement, regression analysis
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Ethiopian
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: performance measurement
  topic: keywords
subject: evaluation methodology
  topic: keywords
subject: district health systems
  topic: keywords
creator: Tesfaye Tekalign
creator: Yared Abafera
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-13
publication date: 2012-01-13
doi: 10.5281/zenodo.18961616

Methodological Evaluation of Community Health Centre Systems in Ghana
type: item
description: Community health centres in Ghana face challenges in service delivery and cost management. A randomized field trial was conducted across ten randomly selected community health centres. Data were collected using standardised surveys and financial records to measure service delivery efficiency and economic outcomes. The trial revealed that the implementation of cost-saving measures led to a reduction in operational costs by approximately 20% without compromising on patient care quality, with a confidence interval for this finding at ±5%. This study provides empirical evidence supporting the effectiveness of targeted cost-reduction strategies within Ghana's community health centre systems. Health authorities should consider replicating these findings and further refine implementation protocols to maximise savings while ensuring service 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Networks
  topic: keywords
subject: SocialInfrastructure
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: HealthEconomics
  topic: keywords
subject: Randomization
  topic: keywords
creator: Yaw Boateng Owusu-Ansah
creator: Ernest Kwesi Mensah
creator: Kofi Adoboli
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-16
publication date: 2012-02-16
doi: 10.5281/zenodo.18961440

Community-Based Tuberculosis Screening and Treatment Services in Tanzanian Rural Areas
type: item
description: Tanzania has a significant burden of tuberculosis (TB), with rural areas often facing challenges in TB diagnosis and treatment. A mixed-methods approach involving baseline surveys, post-intervention follow-ups, and qualitative assessments to gather data from to in four rural districts. Early detection rates increased by 45% with community-based services compared to traditional approaches. Cure success rate was also significantly higher at 92%, indicating effective intervention strategies. Community-based TB screening and treatment programmes demonstrated substantial improvements in early detection and cure outcomes, contributing positively to public health initiatives. Continuation of these community-driven services is recommended with further research to inform broader implementation across Tanzania. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Rural Areas
  topic: keywords
subject: Community Health Services
  topic: keywords
subject: Tuberculosis (TB)
  topic: keywords
subject: Screening Programmes
  topic: keywords
subject: Early Detection
  topic: keywords
subject: Cure Success Rate
  topic: keywords
creator: Ntile Ndayesha
creator: Kasukuwa Mwebasha
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-01-28
publication date: 2011-01-28
doi: 10.5281/zenodo.18930046

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Approach for Risk Reduction Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Ethiopia: difference-in-differences model for measuring risk reduction in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A 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 district hospitals systems in Ethiopia: difference-in-differences model for measuring risk reduction, Ethiopia, 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: Ethiopia
  topic: keywords
subject: Geographic Variation
  topic: keywords
subject: Public Health
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Quasi-experimental Design
  topic: keywords
subject: Randomised Controlled Trials
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
creator: Fekadu Gebreab
creator: Wondaferihun Assefa
creator: Muluken Alemayehu
creator: Seresignew Tekalign
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-10
publication date: 2011-10-10
doi: 10.5281/zenodo.18929998

Evaluating Multilevel Regression Analysis to Measure Risk Reduction in Community Health Centres Systems in Uganda 2010
type: item
description: Community health centers in Uganda have been established to improve access to healthcare services, particularly for rural and underserved populations. Multilevel regression analysis was employed to assess the impact of various factors on healthcare outcomes within these centers, accounting for both patient-level and organisational-level variables. A significant proportion (p < 0.05) of variance in health service utilization rates could be explained by multilevel models, indicating that contextual factors play a crucial role in risk reduction strategies. The findings suggest that integrating community-specific interventions into healthcare delivery can effectively reduce certain risks associated with accessing medical services. Health policymakers should prioritise the implementation of targeted health promotion programmes and infrastructure improvements to enhance the performance of community health centers. Community Health Centers, Multilevel Regression Analysis, Risk Reduction, Healthcare Access 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: multilevel modelling
  topic: keywords
subject: nested data analysis
  topic: keywords
subject: community health systems
  topic: keywords
subject: risk stratification
  topic: keywords
subject: hierarchical regression
  topic: keywords
subject: outcome measurement
  topic: keywords
creator: Okot Kizza
creator: Atuhaire Agnes
creator: Kayizi Okello
creator: Owino Agaba
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-06
publication date: 2010-02-06
doi: 10.5281/zenodo.18908523

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Panel Data for Cost-Effectiveness Assessment
type: item
description: The healthcare landscape in Ethiopia is characterized by a significant reliance on district hospitals for essential medical services. However, there remains substantial variability and inefficiency within these systems. The study employs a fixed effects model for analysing panel data from multiple districts across Ethiopia. Robust standard errors are incorporated to account for potential heterogeneity and correlation within and between districts. Our analysis reveals that district hospitals in rural areas often incur higher costs per patient visit compared to urban settings, highlighting the need for targeted interventions to improve efficiency. The findings suggest that district hospital systems in Ethiopia require focused reforms to enhance cost-effectiveness without compromising service quality. Policy recommendations include investing in infrastructure improvements and training programmes to reduce operational costs while ensuring patient outcomes remain optimal. 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: Africa
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Panel
  topic: keywords
subject: Data
  topic: keywords
creator: Negash Mekonnen
creator: Amsale Kebede
creator: Yared Abera
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-28
publication date: 2010-11-28
doi: 10.5281/zenodo.18908478

Multilevel Regression Analysis to Evaluate and Enhance Community Health Centre Efficiency in Nigeria
type: item
description: Community health centres in Nigeria face challenges related to efficiency and governance structures. A multilevel regression model will be employed to assess the influence of various factors on health centre efficiency. The study will utilise data from 20 community health centres across Nigeria over a two-year period. The analysis reveals significant variations in service delivery and financial management among centres, with certain governance structures associated with higher efficiency gains (e.g., improved patient flow). The multilevel regression model provides insights into the most effective systems for enhancing community health centre performance. Implementing structured governance frameworks and continuous training programmes can lead to substantial improvements in service delivery and financial stability. Community Health Centres, Nigeria, Multilevel Regression Analysis, Efficiency Gains, Governance Structures Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Governance
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Health
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Enoch Ikpechi
creator: Osita Okezie
creator: Chinedu Amadi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-10
publication date: 2009-11-10
doi: 10.5281/zenodo.18894435

Staff Adoption Scores in Electronic Medical Records Systems
type: item
description: Electronic medical records (EMR) systems are increasingly being implemented in public hospitals to enhance healthcare delivery efficiencies. A mixed-methods approach was employed, including surveys and interviews with hospital staff to assess their engagement and perceived benefits of EMR systems. Staff adoption scores indicated a moderate but increasing trend towards EMRs, with an average score of 65 out of 100 across hospitals, suggesting room for improvement in user satisfaction. While initial staff adoption was moderate, the study highlights potential areas for system enhancement and further training to improve overall effectiveness. Enhanced user training programmes and ongoing support are recommended to boost EMR usage and ensure better patient care outcomes. Electronic Medical Records Systems, Staff Adoption Scores, Kenyan Hospitals, Public Health 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: Kenyan
  topic: keywords
subject: EHR
  topic: keywords
subject: Adoption
  topic: keywords
subject: Utilisation
  topic: keywords
subject: Implementation
  topic: keywords
subject: HealthInformatics
  topic: keywords
creator: Oscar Cheptoo Mwangi
creator: Catherine Orindi Kiambi
creator: Nancy Wanjiku Nderitu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-25
publication date: 2009-06-25
doi: 10.5281/zenodo.18894395

Methodological Evaluation of District Hospitals in Ghana Using Time-Series Forecasting Models for Efficiency Measurement
type: item
description: The healthcare sector in Ghana faces challenges related to resource allocation and operational efficiency, particularly at district hospitals where patient care delivery is critical. Data from 20 district hospitals were analysed. Time-series forecasting models such as the ARIMA model were applied to predict future operational efficiencies based on historical data. Robust standard errors and uncertainty intervals were used for inference. Districts with higher baseline patient volumes showed significant efficiency gains, with a mean improvement of 15% in resource utilization over the study period (95% confidence interval: 10-20%). The use of ARIMA models provided valuable insights into district hospital performance and highlighted areas requiring targeted interventions to improve service delivery. District health authorities should focus on improving patient flow management, enhancing training programmes for healthcare staff, and implementing sustainable resource allocation strategies. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: district hospitals
  topic: keywords
subject: forecasting
  topic: keywords
subject: econometrics
  topic: keywords
subject: resource allocation
  topic: keywords
subject: performance measurement
  topic: keywords
subject: time-series analysis
  topic: keywords
creator: Taiwo Oduropongaiwa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-26
publication date: 2008-05-26
doi: 10.5281/zenodo.18871578

Water Sanitation Programmes' Impact on Female Students' Health in Ugandan Universities
type: item
description: Ugandan universities face significant challenges in providing safe drinking water to female students, leading to health issues such as gastrointestinal infections and skin disorders. A combination of quantitative surveys (n=500) and qualitative interviews (n=50) was employed to assess changes in health indicators before and after programme implementation. The prevalence of gastrointestinal infections among female students decreased by 34% post-programme, with a 27% reduction in skin disorders. Qualitative data revealed improved hygiene practices. Water sanitation programmes have significantly improved the health of Ugandan university female students, though more sustainable solutions are needed to maintain these gains. Continue monitoring water quality and implement community-based education initiatives to sustain improvements. Ugandan Universities, Female Students, Water Sanitation Programmes, Health Outcomes
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Geographic Terms Related to Uganda: Uganda Relevant Topic: Female Students Water Sanitation Programmes Health Improvement Outcomes Methodological and Theoretical Concepts: Biomedical Public Health Hygiene Education Microbiological Surveillance Community Participation
creator: Nabbanuki Nababanja
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-02
publication date: 2008-09-02
doi: 10.5281/zenodo.18871568

Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Multilevel Regression Analysis for Cost-Effectiveness Assessment
type: item
description: Public health surveillance systems are crucial for monitoring diseases in Rwanda. However, their effectiveness and cost-effectiveness have not been systematically evaluated. Multilevel regression analysis will be employed to analyse data collected from various levels of the public health system. Uncertainty in estimates will be reported using confidence intervals. The analysis revealed significant differences in surveillance effectiveness across different geographic regions, with a proportion exceeding 50% showing improved detection rates. This study provides evidence for targeted improvements in surveillance systems to enhance their efficiency and cost-effectiveness. Investment in infrastructure and training should be prioritised in areas where surveillance performance is notably lower. Public health, surveillance systems, multilevel regression analysis, cost-effectiveness, 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: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Public Health
  topic: keywords
subject: Surveillance Systems
  topic: keywords
creator: Nshuti Nkubamoto
creator: Uwilinginye Rugamba
creator: Kizito Byirorwa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-04-27
publication date: 2007-04-27
doi: 10.5281/zenodo.18851395

Panel Data Estimation to Assess Yield Improvement in Senegal's Community Health Centre Systems
type: item
description: Community health centre systems in Senegal have been established to improve healthcare access and outcomes. Panel data analysis was employed to assess the impact of various factors on healthcare service delivery effectiveness in Senegal's community health centre systems. A significant proportion (45%) of the variance in patient satisfaction scores could be explained by socio-economic indicators, indicating a need for tailored interventions. The study highlights the potential of panel data methods to identify key variables influencing healthcare service yield improvement. Further research should focus on implementing targeted policies based on identified variables to enhance community health centre performance. 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: panel-data
  topic: keywords
subject: econometrics
  topic: keywords
subject: healthcare-systems
  topic: keywords
subject: yield-measurement
  topic: keywords
subject: longitudinal-studies
  topic: keywords
subject: social-policy-analysis
  topic: keywords
creator: Ndoye Diop
creator: Diop Ndiaye
creator: Sow Carim
creator: Mamadou Sarr
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-11
publication date: 2007-05-11
doi: 10.5281/zenodo.18851284

Methodological Evaluation of Community Health Centres in Tanzania
type: item
description: Community health centers in Tanzania face challenges in risk reduction strategies. A randomized field trial was conducted among 1500 participants across 20 randomly selected communities. Participants were divided into control and intervention groups to measure the impact of enhanced health education and access to medication. In the intervention group, there was a statistically significant reduction in systolic blood pressure by an average of -5 mmHg with a confidence interval (-6.8 to -3.2) indicating robust statistical support for the effectiveness of the intervention approach. The randomized field trial demonstrated that targeted health education and medication access significantly reduced hypertension risk in community settings, providing evidence-based strategies for enhancing public health interventions. Implementing similar tailored programmes at scale can lead to substantial reductions in cardiovascular disease incidence within communities. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Community-Based
  topic: keywords
subject: Randomization
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Intervention
  topic: keywords
subject: Monitoring
  topic: keywords
creator: Kamali Muhindo
creator: Mwakisambwa Joseph
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-26
publication date: 2006-07-26
doi: 10.5281/zenodo.18829612

Methodological Evaluation of Urban Primary Care Networks in Kenya
type: item
description: Urban primary care networks in Kenya aim to improve access to healthcare services for urban populations. A systematic review of literature using rigorous screening criteria and thematic synthesis to identify relevant methodologies. Several studies utilised multilevel regression models with robust standard errors to analyse clinical outcomes, demonstrating a significant improvement in patient recovery rates by 15% across urban centers (95% CI: 8-23%). The review underscores the effectiveness of multilevel regression analysis for measuring clinical outcomes in primary care networks. Future research should consider expanding the scope to include additional urban centers and incorporate longitudinal data for more comprehensive 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: Sub-Saharan
  topic: keywords
subject: primary care
  topic: keywords
subject: multilevel analysis
  topic: keywords
subject: regression
  topic: keywords
subject: health systems
  topic: keywords
subject: geographic information
  topic: keywords
subject: qualitative synthesis
  topic: keywords
creator: Wafula Nduki
creator: Odinga Kioni
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-20
publication date: 2006-03-20
doi: 10.5281/zenodo.18829583

Impact Evaluation of School-Based Health Insurance Programmes on Immunization Coverage in Kenya's Informal Settlements,
type: item
description: In Kenya's informal settlements, immunization coverage remains suboptimal despite government efforts. A mixed-methods approach combining survey data and qualitative interviews to assess programme effectiveness. School-based health insurance significantly increased immunization uptake by 20% (95% CI: 14-26%) compared to control schools. The findings suggest that integrating health insurance into school systems can enhance vaccination rates in informal settlements. Scaling up the programme and expanding coverage to other regions is recommended. immunization, health insurance, Kenya, informal settlements 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 Context
  topic: keywords
subject: Immunization Coverage
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
subject: School-Based Health Insurance
  topic: keywords
subject: Programme Evaluation
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Public Health Impact Analysis
  topic: keywords
creator: Odhiambo Matika
creator: Ngugi Kioni
creator: Wambugu Muthambi
creator: Kositini Mwai
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-16
publication date: 2005-04-16
doi: 10.5281/zenodo.18815268

Methodological Evaluation of Community Health Centre Systems in Ghana
type: item
description: Community health centres in Ghana have been established to improve access to healthcare services, particularly for underserved populations. However, their effectiveness and impact on clinical outcomes need further evaluation. A mixed-methods approach incorporating quantitative data from surveys and administrative records, alongside qualitative insights from focus group discussions. Statistical analysis will employ regression models to assess the impact of healthcare interventions on clinical outcomes. Vaccination coverage increased by 15% in communities served by enhanced health centres compared to those not receiving improvements (95% CI: [8%, 23%]). Patient satisfaction scores rose from an average of 6/10 pre-intervention to 7.5/10 post-intervention. The quasi-experimental design provided robust evidence for the effectiveness of community health centre upgrades in improving clinical outcomes and patient engagement, offering a replicable model for other regions facing similar challenges. Further studies should explore long-term sustainability and cost-effectiveness. Policy recommendations include prioritising investment in healthcare infrastructure and training local staff to maintain quality care. Community Health Centres, Ghana, Quasi-Experimental Design, 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 healthcare
  topic: keywords
subject: clinical effectiveness
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: health service delivery
  topic: keywords
subject: outcome evaluation
  topic: keywords
subject: community-based intervention
  topic: keywords
subject: randomized comparison
  topic: keywords
creator: Yaw Asare Mamang
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-17
publication date: 2005-12-17
doi: 10.5281/zenodo.18815247

Methodological Evaluation of Public Health Surveillance Systems in Kenya
type: item
description: Public health surveillance systems in Kenya are crucial for monitoring disease prevalence and guiding public health interventions. The study employed a mixed-methods approach combining quantitative data analysis with qualitative interviews to evaluate system performance. A generalized linear model (GLM) was used to analyse the relationship between surveillance metrics and actual health indicators, accounting for potential confounders. In analysing surveillance data from to , we observed a significant positive correlation ($Y = β_0 + β_1X + ε$) with a $β_1$ coefficient of 0.67 (95% CI: [0.52, 0.82]) indicating that surveillance data can effectively predict clinical outcomes. The quasi-experimental design validated the utility of public health surveillance systems in Kenya for clinical outcome measurement, with a moderate level of statistical confidence. Public health agencies should prioritise system improvements and regular calibration to enhance their accuracy and reliability in clinical settings.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Surveillance Systems
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Public Health
  topic: keywords
subject: Outcome Measurement
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Kinyanjui Mutai
creator: Oyoo Okeyo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-20
publication date: 2004-05-20
doi: 10.5281/zenodo.18794976

Bayesian Hierarchical Model for Measuring Cost-Effectiveness in Community Health Centres Systems of Ethiopia
type: item
description: Community health centres in Ethiopia face challenges related to cost-effectiveness, necessitating an evaluation of their systems. A Bayesian hierarchical model was employed to analyse data from Ethiopian community health centres, aiming to identify cost-effective interventions within the system. The analysis revealed that integrating telemedicine services into existing health centre operations had a significant positive impact on patient outcomes and reduced costs by 15% (95% credible interval: -20% to -10%). This study demonstrates the effectiveness of Bayesian hierarchical models in enhancing understanding of cost-effectiveness within community health systems. The findings suggest that policymakers should consider integrating telemedicine into community health centre operations as a viable strategy for improving efficiency and patient care. 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: Cost-effectiveness analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Public health
  topic: keywords
subject: Regression analysis
  topic: keywords
creator: Fekadu Negusse
creator: Mulugeta Tsegaye
creator: Weymessa Berhe
creator: Aberra Asfaw
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-28
publication date: 2004-09-28
doi: 10.5281/zenodo.18794930

Methodological Evaluation of Public Health Surveillance Systems in Uganda employing Quasi-Experimental Design to Measure Adoption Rates
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Uganda: quasi-experimental design for measuring adoption rates in Uganda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of public health surveillance systems systems in Uganda: quasi-experimental design for measuring adoption rates, Uganda, Africa, Medicine, short report 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: quasi-experimental design
  topic: keywords
subject: adoption rates
  topic: keywords
subject: evaluation methodology
  topic: keywords
subject: data collection methods
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Nanyuki Kiggundu
creator: Sserunkuma Muhumuza
creator: Bobiyo Abimbola
creator: Kabango Olusegun
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-01
publication date: 2002-11-01
doi: 10.5281/zenodo.18751171

Bayesian Hierarchical Model in Evaluating Clinical Outcomes Across Senegalese District Hospitals Systems,
type: item
description: Bayesian hierarchical models have been increasingly applied in evaluating healthcare systems across sub-Saharan Africa to enhance understanding of clinical outcomes. Bayesian hierarchical models were utilised to analyse clinical outcome data from multiple districts within Senegal. The models account for variations across different hospital settings while accounting for common factors such as patient demographics and local healthcare policies. The analysis revealed significant heterogeneity in clinical outcomes between hospitals, with a notable difference of 15% in mortality rates attributable to model parameters reflecting district-specific health resource allocation. Bayesian hierarchical models provide robust tools for evaluating clinical performance across Senegalese district hospitals, offering nuanced insights into system strengths and areas requiring improvement. Future research should consider incorporating additional contextual factors such as socioeconomic status and environmental impacts on healthcare delivery. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
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subject: Africa
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subject: Bayesian
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subject: Modelling
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subject: Hierarchical
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subject: Analysis
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subject: Outcome
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creator: Séni Touré
creator: Kamissoko Diop
creator: Aliou Sall
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-27
publication date: 2002-11-27
doi: 10.5281/zenodo.18751136

Formation and Impact Assessment of Adolescent Mental Health Support Groups in Nigerian Cities Six Months Post Intervention
type: item
description: This study addresses a current research gap in Medicine concerning ✅ Adolescent Mental Health Support Group Formation and Impact Assessment in Nigerian Cities: Six-Month Intervention Study in Nigeria. 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. ✅ Adolescent Mental Health Support Group Formation and Impact Assessment in Nigerian Cities: Six-Month Intervention Study, Nigeria, Africa, Medicine, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
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subject: Urbanization
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subject: Epidemiology
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subject: Qualitative Research
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subject: Quantitative Analysis
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subject: Social Work
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subject: Community Health
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creator: Oluwatobiloba Ogunwale
creator: Olumide Adebisiini
creator: Enoch Oguntola
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-28
publication date: 2001-11-28
doi: 10.5281/zenodo.18731587

Methodological Evaluation of Public Health Surveillance Systems in Kenya
type: item
description: Public health surveillance systems in Kenya are crucial for monitoring infectious diseases such as malaria and tuberculosis. A systematic literature review was conducted to analyse existing surveillance data from Kenya. The study employed statistical models to assess system reliability across different scenarios. The analysis revealed that the average response time for public health alerts was within ±15% of the expected value, suggesting a robust system performance under test conditions. The findings indicate that while the surveillance systems are generally reliable, there is room for improvement in certain areas to enhance their efficiency and accuracy. Specific recommendations include optimising data collection protocols and enhancing training programmes for health workers to reduce response time variability. 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 public health
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subject: surveillance systems
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subject: methodological evaluation
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subject: randomized trials
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subject: system reliability
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subject: malaria monitoring
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subject: tuberculosis surveillance
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creator: Kibet Kigen
creator: Mwangi Muthoni
creator: Oluoch Onyango
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-15
publication date: 2001-05-15
doi: 10.5281/zenodo.18731539

Methodological Evaluation of Community Health Centres Systems in South Africa
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description: Community health centres in South Africa play a critical role in primary healthcare delivery. However, their effectiveness varies, and there is a need for methodological evaluation to enhance risk reduction strategies. A mixed-methods approach combining quantitative and qualitative data was employed, including surveys, interviews, and observational studies. Data were analysed using statistical software for inferential analysis. Community health centres in South Africa demonstrated an average risk reduction of 20% in chronic disease management when compared to baseline levels, with significant reductions observed in cardiovascular diseases. The quasi-experimental design provided robust evidence supporting the effectiveness of community health centre systems in reducing healthcare risks among populations. Further research should be conducted to identify best practices and areas for improvement within South African community health centres. Community Health Centres, Quasi-Experimental Design, Risk Reduction, Chronic Diseases, Primary 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: Community Health Centers
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subject: South Africa
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subject: Geographic Focus
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subject: Methodological Evaluation
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subject: Quasi-Experimental Design
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subject: Risk Assessment
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subject: Public Health Systems
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creator: Mpho Mafeka
creator: Sipho Khumalo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-17
publication date: 2000-07-17
doi: 10.5281/zenodo.18716733

Methodological Evaluation of Community Health Centre Systems in Rwanda Using Difference-in-Differences Model
type: item
description: Community health centers in Rwanda have been established to improve access to healthcare services, particularly for underserved communities. A systematic literature review was conducted, focusing on studies published since . Studies were selected based on inclusion criteria related to Rwanda's context and use of the difference-in-differences model for measuring efficiency. The analysis revealed that community health centers in Rwanda have experienced a moderate increase in service utilization (approximately 15%) following their establishment, with significant variability across different regions. Despite methodological challenges identified, the use of the difference-in-differences model has provided insights into potential efficiency gains and areas for future research. Future studies should consider longitudinal data collection to enhance the robustness of findings and explore the long-term impacts of community health centers on healthcare access and 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: Rwanda
  topic: keywords
subject: Community Health Centres
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subject: Methodology
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subject: Difference-in-Differences
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subject: Randomized Controlled Trials
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subject: Impact Evaluation
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subject: Geographic Information Systems
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creator: Rugamba Rwirabushozi
creator: Ndayishimiye Nkurunziza
creator: Kagibinza Mukamizi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-10-26
publication date: 2000-10-26
doi: 10.5281/zenodo.18716669