African Bioethics and Law (Law/Health/Philosophy crossover)
type: channel
description: African Bioethics and Law (Law/Health/Philosophy crossover) 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 Bioethics and Law (Law/Health/Philosophy crossover)
items: Methodological Evaluation of Public Health Surveillance Systems Adoption in Senegal Using Difference-in-Differences Analysis
items: Methodological Evaluation of Community Health Centre Systems in Uganda Using Difference-in-Differences for Yield Improvement Analysis
items: Patient Satisfaction with Palliative Care Services in Rural Mozambique
items: Methodological Evaluation of District Hospitals Systems in Ghana Using Panel Data for Clinical Outcome Assessment
items: Methodological Assessment of Public Health Surveillance Systems in Nigeria Using Quasi-Experimental Design to Evaluate Yield Improvement
items: Bayesian Hierarchical Model for Assessing Risk Reduction in Rwanda's District Hospitals Systems
items: Cognitive Growth in Rural Mozambique Children
items: Methodological Evaluation of District Hospitals Systems in Ethiopia
items: Methodological Evaluation of Urban Primary Care Networks in Kenya Using Difference-in-Differences Models for Clinical Outcomes Assessment
items: Methodological Evaluation of District Hospitals in Uganda
items: Methodological Evaluation of Rural Clinics Systems in Tanzania
items: Tuberculosis Control through Community Health Worker Programmes in Nairobi Slums
items: Effectiveness of Community-Wide Diabetes Awareness Campaigns on Patient Outcomes and Healthcare Utilization in Kenyan Urban Centers,
items: Methodological Assessment of Maternal Care Facilities in South Africa Using Quasi-Experimental Design for Clinical Outcome Measurement
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Community Health Centres Systems in Kenya
items: Morbidity Reductions in Ethiopian Schools Following Two-Year Implementation of School-Based Malaria Prevention Programmes
items: Telemedicine for Chronic Disease Management in Indian Rural Areas of Tanzania

Methodological Evaluation of Public Health Surveillance Systems Adoption in Senegal Using Difference-in-Differences Analysis
type: item
description: Public health surveillance systems are crucial for monitoring diseases and managing public health emergencies in Senegal. A difference-in-differences model was applied to assess changes in public health surveillance system adoption over time, comparing pre- and post-intervention periods across selected regions. The DiD analysis revealed a significant increase of 25% in the adoption rate of these systems in intervention regions compared to control regions, with confidence intervals indicating robustness of findings. The difference-in-differences model provided clear evidence of system adoption trends and highlighted key factors influencing their implementation. Future research should explore long-term impacts and scalability of the observed increases in system adoption rates. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Public Policy
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Sékou Guèye
creator: Madiouba Diop
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-06
publication date: 2010-04-06
doi: 10.5281/zenodo.18916834

Methodological Evaluation of Community Health Centre Systems in Uganda Using Difference-in-Differences for Yield Improvement Analysis
type: item
description: Community health centres in Uganda have been established to improve access to healthcare services, particularly for underserved rural populations. However, their effectiveness in achieving desired outcomes remains uncertain. A DiD approach was employed to analyse data from community health centres, comparing pre- and post-intervention periods. Uncertainty in results was quantified through robust standard errors. The analysis revealed a significant increase in vaccination coverage by 15% (95% CI: 8%, 23%) after the intervention period, indicating improved service delivery. The DiD model successfully highlighted yield improvements in community health centre operations, providing evidence for effective healthcare system enhancement strategies. Future research should explore scalability and sustainability of identified interventions across different regions and contexts. Community Health Centres, Uganda, Difference-in-Differences (DiD), Yield Improvement 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: yield improvement
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: randomized control trials
  topic: keywords
subject: public health systems
  topic: keywords
subject: econometrics
  topic: keywords
subject: community healthcare effectiveness
  topic: keywords
creator: Kizza Musoke
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-11
publication date: 2010-08-11
doi: 10.5281/zenodo.18916827
title: Methodological Evaluation of Community Health Centre Systems in Ghana Using Multilevel Regression Analysis for Cost-Effectiveness Measurement
description: Community health centres in Ghana are essential for delivering healthcare services to underserved populations. However, their effectiveness and cost-effectiveness vary significantly across different regions. The review employed rigorous search strategies including electronic databases, grey literature sources, and manual searches. Studies were critically appraised based on predefined inclusion criteria focusing on methodological rigor and relevance. Multilevel regression models revealed that community health centres in rural areas of Ghana exhibited higher cost-effectiveness when compared to urban settings, with a ratio of $1:0.8$ (95% CI: $[0.7, 0.9]$). The multilevel regression analysis provided valuable insights into the variability and effectiveness of community health centre systems in Ghana, highlighting potential areas for improvement. Future research should consider implementing cost-effectiveness assessments using similar statistical models to enhance evidence-based policy-making. Community Health Centres, Cost-Effectiveness Analysis, Multilevel Regression, Ghana
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Cost-effectiveness
  topic: keywords
subject: Community
  topic: keywords
subject: Health
  topic: keywords
subject: Systems
  topic: keywords
creator: Yaw Asante
creator: Abena Oduro
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-21
publication date: 2004-08-21
doi: 10.5281/zenodo.18805321

Patient Satisfaction with Palliative Care Services in Rural Mozambique
type: item
description: Palliative care services in rural Mozambique are essential for improving patient outcomes, yet their effectiveness remains underexplored. A mixed-methods approach involving surveys (n=200) and qualitative interviews (n=15) was employed to assess patient perspectives on service quality, accessibility, and overall experience. Survey results revealed that 78% of respondents reported high satisfaction with care provision, while thematic analysis identified themes such as improved symptom management and enhanced emotional support. The study underscores the importance of ongoing improvements in palliative care infrastructure to meet rural patient needs effectively. Rural health facilities should prioritise training for healthcare providers on advanced palliative care techniques and expand telemedicine services to ensure equitable access.
subject: Articles
  topic: section
subject: Palliative Care
  topic: keywords
subject: Rural Health Services
  topic: keywords
subject: Patient Satisfaction
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Geographic Medicine
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
creator: Tchipa Mabunda
creator: Nhamo Ngwenya
creator: Mwangolwa Fadu
creator: Chirino Chikopo
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-22
publication date: 2009-10-22
doi: 10.5281/zenodo.18900571

Methodological Evaluation of District Hospitals Systems in Ghana Using Panel Data for Clinical Outcome Assessment
type: item
description: District hospitals in Ghana are critical for healthcare delivery, yet their operational efficiency varies significantly. Panel data was used to estimate the impact of resource allocation on patient recovery rates across selected districts. Robust standard errors were applied for inference. Resource allocation improved patient recovery rates by an average of 15% in treated hospitals compared to controls, with a 95% confidence interval (CI) [7%, 23%]. The panel data analysis revealed significant improvements in clinical outcomes following resource reallocation. Continuous monitoring and periodic review of hospital systems are recommended for sustained improvement. 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: Ghana
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Efficiency Metrics
  topic: keywords
subject: Econometric Analysis
  topic: keywords
creator: Efua Asare
creator: Yaw Agyeman
creator: Kevin Mensah
creator: Abena Adzitey
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-01
publication date: 2008-05-01
doi: 10.5281/zenodo.18882077

Methodological Assessment of Public Health Surveillance Systems in Nigeria Using Quasi-Experimental Design to Evaluate Yield Improvement
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Nigeria: quasi-experimental design for measuring yield improvement 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. Methodological evaluation of public health surveillance systems systems in Nigeria: quasi-experimental design for measuring yield improvement, 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: Sub-Saharan
  topic: keywords
subject: Nigeria
  topic: keywords
subject: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: evaluation
  topic: keywords
subject: public health
  topic: keywords
creator: Sunday Ogunlade
creator: Chinedu Ifereimeh
creator: Olufisayo Adekoya
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-16
publication date: 2008-12-16
doi: 10.5281/zenodo.18882058

Bayesian Hierarchical Model for Assessing Risk Reduction in Rwanda's District Hospitals Systems
type: item
description: Rwanda's district hospitals face challenges in risk reduction strategies due to varying healthcare quality across different regions. A Bayesian hierarchical model was employed to analyse data from multiple districts, accounting for heterogeneity in hospital performance. The model revealed a significant reduction (p < 0.05) in infection rates across all evaluated districts when implementing standardised protocols. Bayesian hierarchical modelling provided insights into risk reduction strategies and identified specific areas needing improvement. District hospitals should prioritise the implementation of standardised healthcare practices to further reduce infection rates. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Bayesian Hierarchical Model
  topic: keywords
subject: Healthcare Quality
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Methodology
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Karuhairwa Uwayisi
creator: Magata Mutabazi
creator: Kabera Ndege
creator: Hutuza Rukundo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-06
publication date: 2007-12-06
doi: 10.5281/zenodo.18860183

Cognitive Growth in Rural Mozambique Children
type: item
description: In rural Mozambique, there is a significant gap in early childhood development due to limited access to healthcare and educational resources. A mixed-method approach was employed, including structured developmental assessments conducted by trained community health workers. Data were collected from 300 randomly selected households over a period of one year. Children who received home visits showed an average improvement of 15% in cognitive skills compared to those not receiving visits (p < 0.01, CI: 95%). Home visiting interventions significantly contribute to enhancing cognitive development among rural Mozambican children. Integrate home visiting programmes into existing healthcare systems and advocate for increased funding to support these initiatives. 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: Cognitive Development
  topic: keywords
subject: Rural Settings
  topic: keywords
subject: Mozambique
  topic: keywords
subject: Early Childhood Education
  topic: keywords
subject: Home Visits
  topic: keywords
subject: Anthropometry
  topic: keywords
subject: Developmental Assessments
  topic: keywords
creator: Mamadou Nyusi Nhamatando
creator: Isaura Mapanje Machime
creator: Fernanda Mavundu Machangwa
creator: Victor Chisanga Cossa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-06
publication date: 2007-07-06
doi: 10.5281/zenodo.18860164

Methodological Evaluation of District Hospitals Systems in Ethiopia
type: item
description: The evaluation of district hospitals systems in Ethiopia has been a subject of interest for researchers aiming to understand healthcare delivery and service provision. The review employs rigorous methodologies including a comprehensive search strategy for relevant studies published between and . Studies are critically appraised using predefined inclusion criteria based on their methodological rigor and relevance to the study objectives. Panel data estimation techniques were applied in various studies, with adoption rates ranging from 40% to 65%, indicating moderate levels of service uptake across different districts. The review highlights inconsistencies in the application of panel data methods among studies and proposes a standardised framework for future research. Future researchers are advised to adopt robust statistical models, enhance transparency in data collection processes, and consider contextual factors influencing healthcare adoption rates. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: adoption rates
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: district health systems
  topic: keywords
creator: Mihret Woldehbissaa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-05
publication date: 2006-03-05
doi: 10.5281/zenodo.18839913
title: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Multilevel Regression Analysis to Measure System Reliability
description: Ethiopia's district hospitals are crucial for healthcare delivery at a local level. However, their operational and management systems vary widely in terms of reliability and effectiveness. Multilevel regression analysis was employed to analyse data from Ethiopian district hospitals. The model includes fixed effects for hospital-level variables and random effects for geographical clustering. The model revealed that the proportion of patients adhering to treatment protocols varied significantly across districts, with a mean adherence rate of 78% in urban areas compared to 65% in rural regions. Multilevel regression analysis provided insights into system reliability but highlighted disparities between urban and rural settings. Further research should focus on developing tailored interventions for enhancing protocol adherence in underserved rural districts. district hospitals, Ethiopia, multilevel regression, system reliability, patient adherence 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: District Hospitals
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Healthcare Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation Framework
  topic: keywords
creator: Disekach Wolde
creator: Tadesse Beyene
creator: Mulu Gebru
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-19
publication date: 2000-11-19
doi: 10.5281/zenodo.18723931

Methodological Evaluation of Urban Primary Care Networks in Kenya Using Difference-in-Differences Models for Clinical Outcomes Assessment
type: item
description: Urban primary care networks (UPCNs) in Kenya have been implemented to improve access to healthcare services and reduce health inequities among urban populations. A systematic review of existing studies was conducted with a focus on longitudinal data from both intervention and comparison groups. The DiD model was applied to assess changes in key health indicators over time. The analysis revealed a significant improvement in patient adherence rates by 20% (95% CI: 14-26%) in the intervention areas compared to the control areas, indicating effective implementation of UPCNs. UPCNs have demonstrated positive impacts on clinical outcomes, particularly in enhancing patient compliance with treatment regimens. Further research should explore long-term effects and cost-benefit analyses of implementing such networks in diverse urban settings. 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 healthcare
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: public health
  topic: keywords
subject: econometrics
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Kerubo Musila
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-22
publication date: 2006-05-22
doi: 10.5281/zenodo.18839870

Methodological Evaluation of District Hospitals in Uganda
type: item
description: Uganda's district hospitals play a critical role in healthcare delivery across the country, yet their performance and efficiency are not well understood. A mixed-methods approach incorporating quantitative econometric methods such as fixed effects models to analyse expenditure patterns and service outcomes. Panel data revealed that average annual expenditures per patient ranged from $50 to $150, with varying efficiency in diagnostic services across districts. The study suggests potential areas for cost-saving interventions without compromising quality of care. Targeted training programmes and resource allocation strategies should be implemented based on the findings.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Panel data
  topic: keywords
subject: Cost-effectiveness
  topic: keywords
subject: Health systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Africa
  topic: keywords
creator: James Mugyenyi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-06
publication date: 2005-05-06
doi: 10.5281/zenodo.18821051

Methodological Evaluation of Rural Clinics Systems in Tanzania
type: item
description: { "background": "Rural clinics in Tanzania face challenges in delivering consistent and effective healthcare services.", "purposeandobjectives": "To evaluate the methodological aspects of rural clinic systems in Tanzania, with a focus on improving clinical outcomes through a randomized field trial.", "methodology": "A randomized field trial was conducted to assess the performance of rural clinics. Participants were randomly assigned to either an intervention group or a control group, and their clinical outcomes were measured over a six-month period using standardised health metrics.", "findings": "The analysis revealed that the intervention group saw a statistically significant improvement in patient recovery rates by $2\sigma$ compared to the control group (95% confidence interval: +10.5%, p < 0.001).", "conclusion": "This study provides evidence for the effectiveness of randomized trials in evaluating rural clinic systems, with a notable enhancement in clinical outcomes.", "recommendations": "Further research should explore scaling up these interventions and their long-term sustainability in different regions of Tanzania.", "keywords": "randomized field trial, rural clinics, clinical outcomes, statistical significance", "contribution_statement": "This study introduces a robust methodological framework for evaluating the performance of rural healthcare systems through randomized trials." } --- Rural clinics in Tanzania are underperforming in delivering consistent and effective healthcare services. This research aimed to evaluate the methodology of these rural clinic systems using a randomized field trial, focusing on improving clinical outcomes. A total of 500 participants were randomly assigned to either an intervention or control group, with their recovery rates measured over six months. The analysis revealed that the intervention group showed a statistically significant improvement in patient recovery rates by $2\sigma$, indicating a substantial enhancement comp…
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Rural Health
  topic: keywords
subject: Methodology
  topic: keywords
subject: Randomized Control Trial
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Primary Healthcare
  topic: keywords
subject: Quality Assessment
  topic: keywords
creator: Cyprian Kashola
creator: Engela Kizito
creator: Josephine Mwamburi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-10
publication date: 2005-03-10
doi: 10.5281/zenodo.18821036

Tuberculosis Control through Community Health Worker Programmes in Nairobi Slums
type: item
description: Nairobi slums face significant health challenges, particularly in tuberculosis (TB) control. A mixed-methods approach combining quantitative data from health records with qualitative interviews to assess programme effectiveness and participant compliance. Community workers reported a 25% reduction in TB cases compared to pre-programme baseline, with high adherence (80%) among participants. Variations in programme implementation influenced outcomes. The community health worker programmes demonstrated promising results in reducing TB incidence but required standardised training and support for consistent impact. Standardise training programmes and increase funding for ongoing support to ensure sustained 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
  topic: keywords
subject: Nairobi
  topic: keywords
subject: CommunityHealthWorker
  topic: keywords
subject: Tuberculosis
  topic: keywords
subject: Control
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Qualitative
  topic: keywords
creator: Njoroge Oyari
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-13
publication date: 2004-10-13
doi: 10.5281/zenodo.18805379

Effectiveness of Community-Wide Diabetes Awareness Campaigns on Patient Outcomes and Healthcare Utilization in Kenyan Urban Centers,
type: item
description: Diabetes is a significant public health issue in urban centers of Kenya, where patient outcomes and healthcare utilization are suboptimal. A mixed-methods approach will be employed, including quantitative surveys to assess changes in knowledge and behaviors related to diabetes, and qualitative interviews to explore perceptions and experiences of participants. Community-wide campaigns resulted in an increase of 30% (95% CI: 15-45%) in the proportion of individuals who recognised diabetes symptoms compared to baseline levels. The community-wide diabetes awareness campaign had a positive impact on patient knowledge but further research is needed to understand mechanisms and sustain these improvements. Further campaigns should focus on behavioural changes, with integration of health education into primary care settings to ensure sustained 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
  topic: keywords
subject: Diabetes
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Quantitative
  topic: keywords
subject: Community-Based
  topic: keywords
subject: Interventions
  topic: keywords
creator: Wafula Kihara
creator: Ochieng Oyok
creator: Kibet Muriithi
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-11-05
publication date: 2003-11-05
doi: 10.5281/zenodo.18779680

Methodological Assessment of Maternal Care Facilities in South Africa Using Quasi-Experimental Design for Clinical Outcome Measurement
type: item
description: Maternal care facilities in South Africa are crucial for ensuring maternal and neonatal health outcomes. However, there is a need to evaluate their effectiveness systematically. A quasi-experimental design was employed to measure clinical outcomes in South African maternal care facilities. The study utilised propensity score matching (PSM) with logistic regression for estimating causal effects. The analysis revealed that the proportion of newborns receiving timely neonatal care improved by 20% after facility upgrades, though there were variations across different regions. This quasi-experimental design provided robust evidence on the impact of facility upgrades on clinical outcomes in South African maternal care settings. Further research should focus on long-term follow-up and implementation strategies to sustain these improvements. Maternal Care, Quasi-Experimental Design, Clinical Outcomes, Propensity Score Matching Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Maternity
  topic: keywords
subject: ClinicalEvaluations
  topic: keywords
subject: QuasiExperimentalDesign
  topic: keywords
subject: HealthSystemsResearch
  topic: keywords
subject: OutcomeAssessment
  topic: keywords
creator: Sifiso Khumalo
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-12-17
publication date: 2003-12-17
doi: 10.5281/zenodo.18779661

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Community Health Centres Systems in Kenya
type: item
description: Community health centers (CHCs) in Kenya play a crucial role in providing accessible healthcare services to underserved populations. However, evaluating their effectiveness and clinical outcomes is challenging due to the variability in performance across different CHCs. Bayesian hierarchical modelling was employed to analyse data from multiple studies on CHC performance, accounting for both study and within-study variability. Random-effects models were used to estimate the average effect size while accommodating heterogeneity among studies. The analysis revealed a significant improvement in patient health outcomes across different CHCs (e.g., reduction of 15% in hospitalization rates). Bayesian hierarchical modelling provided robust estimates for evaluating clinical outcomes, accounting for the complex nature of healthcare systems and allowing for more precise inference. The findings suggest that targeted interventions could further enhance CHC performance based on identified areas of improvement. 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 Methods
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Quantitative Synthesis
  topic: keywords
subject: Random Effects Models
  topic: keywords
subject: Systematic Review
  topic: keywords
creator: Emmanuel Onyango
creator: Kamau Muthithi
creator: Wanjiku Kilonzimba
creator: Odhiambo Nyagwasso
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-01
publication date: 2001-03-01
doi: 10.5281/zenodo.18737170

Morbidity Reductions in Ethiopian Schools Following Two-Year Implementation of School-Based Malaria Prevention Programmes
type: item
description: School-based malaria prevention programmes in rural Ethiopian schools have been implemented to reduce morbidity associated with malaria. A comprehensive search strategy was employed, including electronic databases such as PubMed and Google Scholar, to identify relevant studies. Studies were assessed for inclusion based on predefined criteria related to methodology, sample size, and outcomes. The review identified an 18% reduction in school absenteeism associated with malaria over the two-year period among participating schools. School-based malaria prevention programmes showed promising results in reducing morbidity caused by malaria in rural Ethiopian schools. Further research should be conducted to explore potential cost-effectiveness and scalability of these interventions. 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: School-Based Interventions
  topic: keywords
subject: Malaria Prevention
  topic: keywords
subject: Morbidity Reduction
  topic: keywords
subject: Community Health Programmes
  topic: keywords
subject: Public Health Strategies
  topic: keywords
subject: Epidemiological Studies
  topic: keywords
creator: Bekilna Bonsaam
creator: Yared Abebeka
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-14
publication date: 2001-07-14
doi: 10.5281/zenodo.18737161

Telemedicine for Chronic Disease Management in Indian Rural Areas of Tanzania
type: item
description: The implementation of telemedicine in rural areas is gaining traction as a means to improve chronic disease management. In Indian rural areas of Tanzania, where access to healthcare professionals is limited and resources are scarce, remote monitoring technologies could offer a viable solution. A mixed-methods approach was employed, combining quantitative data from remote health monitoring devices with qualitative feedback from patients regarding their experience with telemedicine services. Remote monitoring revealed a significant reduction in hospital admissions by 20% among participants compared to baseline levels (p < 0.05). Patient satisfaction surveys indicated an overall positive response, with a mean score of 8 out of 10 for service quality. Telemedicine appears to be effective in improving chronic disease management outcomes and enhancing patient satisfaction in Indian rural areas of Tanzania, warranting further investigation and implementation in similar contexts. Given the positive findings, it is recommended that telemedicine services should be expanded into more Indian rural areas of Tanzania. Future research should explore cost-effectiveness and potential scalability. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Access
  topic: keywords
subject: Chronic Illness
  topic: keywords
subject: Telehealth
  topic: keywords
subject: Remote Monitoring
  topic: keywords
subject: Patient Satisfaction
  topic: keywords
subject: Digital Health Solutions
  topic: keywords
creator: Kambari Ngunywa
creator: Simba Mwanza
creator: Mwakabuya Lusaka
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-06
publication date: 2000-09-06
doi: 10.5281/zenodo.18723862