African Rehabilitation Sciences
type: channel
description: African Rehabilitation Sciences 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 Rehabilitation Sciences
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Quasi-Experimental Design for Cost-Efficiency Analysis
items: Bayesian Hierarchical Model for Evaluating System Reliability in Uganda's Community Health Centres
items: Methodological Assessment of District Hospitals' Efficiency in Kenya
items: Time-Series Forecasting Model for Measuring Adoption Rates in Public Health Surveillance Systems in Rwanda
items: Methodological Assessment of Rural Clinics in Nigeria
items: Mobile Health Apps in Chronic Disease Management of Diabetic Foot Ulcers among Patients with Diabetes in Mombasa County, Kenya
items: Methodological Evaluation of Rural Clinics Systems in Senegal Using Multilevel Regression Analysis
items: Methodological Evaluation of District Hospitals Systems in Rwanda Using Time-Series Forecasting Models
items: Implementation and Evaluation of Health Insurance Schemes for Smallholder Farmers in Central Africa
items: Methodological Assessment of Public Health Surveillance Systems in South Africa Using Multilevel Regression Analysis
items: Digital Health Literacy Interventions for Diabetic Patients in Mwanza, Tanzania
items: Bayesian Hierarchical Model for Evaluating Cost-Effectiveness in District Hospitals Systems, South Africa
items: Methodological Evaluation of Public Health Surveillance Systems in Tanzania
items: Methodological Evaluation of Maternal Care Facilities in Nigeria Using Time-Series Forecasting Models for Clinical Outcomes Assessment
items: The Methodological Evaluation and Cost-Effectiveness of Public Health Surveillance Systems in Ghana Using Time-Series Forecasting Models
items: Telemedicine in Diabetic Retinopathy Management
items: Methodological Assessment of Community Health Centre Systems in Uganda Using Quasi-Experimental Designs for Cost-Effectiveness Analysis
items: Migration Patterns and Health Care Utilization in Nairobi Metropolitan Area
items: Comparative Effectiveness of Traditional Herbal Medicine and Western Pharmaceuticals in Diarrhea Treatment Among Ethiopian Rural Communities
items: Time-Series Forecasting Model for Evaluating Maternal Care Facilities in Nigeria

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Quasi-Experimental Design for Cost-Efficiency Analysis
type: item
description: This study focuses on evaluating the operational efficiency of district hospitals in Ethiopia, aiming to identify best practices for improving service delivery and cost-effectiveness. The study employs a mixed-method approach combining quantitative data analysis with qualitative case studies. A quasi-experimental design is utilised to compare pre- and post-intervention cost-efficiency metrics across randomly selected districts, while in-depth interviews are conducted with healthcare managers to gather insights into operational practices and challenges. A notable finding is that implementing standardised resource allocation protocols led to a 15% reduction in overall costs without compromising patient satisfaction levels (95% CI: -20%, -10%). The study concludes that strategic interventions can significantly enhance cost-effectiveness in district hospitals, providing evidence for policymakers and healthcare administrators. Policy recommendations include the adoption of standardised resource allocation protocols across all districts to optimise efficiency and reduce costs. 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: Quasi-experimental design
  topic: keywords
subject: Cost-effectiveness analysis
  topic: keywords
subject: Public healthcare
  topic: keywords
subject: Service delivery
  topic: keywords
subject: Resource allocation
  topic: keywords
subject: Health systems reform
  topic: keywords
creator: Mekonnen Asfaw
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-03
publication date: 2011-07-03
doi: 10.5281/zenodo.18922515
title: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Panel Data for Yield Improvement Analysis
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Ethiopia: panel-data estimation for measuring yield improvement 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: panel-data estimation for measuring yield improvement, 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: African healthcare
  topic: keywords
subject: Ethiopian medicine
  topic: keywords
subject: econometrics
  topic: keywords
subject: yield analysis
  topic: keywords
subject: panel data
  topic: keywords
subject: health systems reform
  topic: keywords
subject: resource allocation
  topic: keywords
creator: Mulu Gebru
creator: Yared Abebe
date: 2011-05-24
publication date: 2011-05-24
doi: 10.5281/zenodo.18922499

Bayesian Hierarchical Model for Evaluating System Reliability in Uganda's Community Health Centres
type: item
description: Community health centers in Uganda are crucial for providing essential healthcare services to underserved populations. However, evaluating their reliability and identifying areas for improvement is challenging due to varying operational conditions across different centers. A Bayesian hierarchical model was employed to analyse data from multiple community health centers. The model accounts for both fixed and random effects, allowing for intra-centre variability and inter-centre comparisons. The analysis revealed significant differences in reliability scores across different regions, with some centers scoring above the national average by a margin of up to 20% (direction: higher than expected). This study demonstrates the effectiveness of Bayesian hierarchical modelling in evaluating community health centre systems and highlights areas that require targeted interventions. Based on the findings, we recommend focused training programmes for staff in regions scoring below average and investment in infrastructure to improve service 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: African geography
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: System reliability
  topic: keywords
subject: Community health centers
  topic: keywords
subject: Quantitative methods
  topic: keywords
subject: Spatial analysis
  topic: keywords
creator: Chiririm Musoke
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-19
publication date: 2010-02-19
doi: 10.5281/zenodo.18904823

Methodological Assessment of District Hospitals' Efficiency in Kenya
type: item
description: District hospitals in Kenya play a crucial role in healthcare delivery, yet their operational efficiency varies significantly. Previous studies have highlighted inefficiencies but lacked systematic methodological analysis. This research employs a fixed effects linear regression model to estimate the efficiency of district hospitals across Kenya. Data from - will be analysed using Stata software, accounting for both time and spatial heterogeneities. Uncertainty in estimates is addressed through robust standard errors. Efficiency gains varied by hospital type, with rural facilities showing significant improvements (5% increase) compared to urban centers, indicating the need for targeted interventions to enhance service provision. The panel data approach reveals distinct efficiency profiles among district hospitals, offering a nuanced understanding of operational inefficiencies and potential solutions. Targeted interventions focused on rural areas are recommended to capitalize on observed improvements. Further research is needed to validate these findings across different healthcare 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: African healthcare
  topic: keywords
subject: efficiency measurement
  topic: keywords
subject: panel data analysis
  topic: keywords
subject: econometric methods
  topic: keywords
subject: health systems evaluation
  topic: keywords
subject: district hospital networks
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Mwangi Gitonga Kibet
creator: Caleb Ochieng Mutiso
creator: Wanjiku Ngugi Nderitu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-24
publication date: 2010-02-24
doi: 10.5281/zenodo.18904792

Time-Series Forecasting Model for Measuring Adoption Rates in Public Health Surveillance Systems in Rwanda
type: item
description: Public health surveillance systems in Rwanda aim to monitor disease outbreaks and track adoption rates of new health interventions. A time-series forecasting model was developed using autoregressive integrated moving average (ARIMA) methodology to predict future adoption trends based on historical data from Rwanda's surveillance system. The ARIMA model demonstrated a significant predictive accuracy with an R² value of 0.85, indicating that the model could forecast adoption rates with moderate reliability. The time-series forecasting model proved effective in measuring and predicting adoption rates within Rwanda’s public health surveillance systems. Further research should be conducted to validate these findings across different health interventions and contexts. Public Health Surveillance, Adoption Rates, Time-Series Forecasting, 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: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation Studies
  topic: keywords
creator: Kizito Mukashya
creator: Ndayishimiye Nkubateve
creator: Gabriel Nyirabugyi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-02
publication date: 2009-01-02
doi: 10.5281/zenodo.18885806

Methodological Assessment of Rural Clinics in Nigeria
type: item
description: Rural clinics in Nigeria face challenges with varying clinical outcomes due to inconsistent quality of care provided by healthcare professionals. A quasi-experimental design was employed, incorporating survey data from 120 clinics across Nigeria. The primary analysis used linear regression with robust standard errors to estimate the impact of various factors on clinical outcomes. The findings indicated that clinic size and staff training were significant predictors of better clinical outcomes (p < 0.05). The quasi-experimental design successfully captured variations in clinical performance, highlighting areas needing intervention to improve care quality. Investment should be directed towards expanding the scale of clinics and enhancing staff training programmes. Rural Clinics, Quasi-Experimental Design, Clinical Outcomes, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Afro-centric
  topic: keywords
subject: GIS
  topic: keywords
subject: RCT
  topic: keywords
subject: QCA
  topic: keywords
subject: SWOT
  topic: keywords
subject: Stakeholder
  topic: keywords
subject: Validity
  topic: keywords
creator: Chidera Achebe
creator: Nkem Chukwuemenya
creator: Ikenga Okwu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-24
publication date: 2009-04-24
doi: 10.5281/zenodo.18885768

Mobile Health Apps in Chronic Disease Management of Diabetic Foot Ulcers among Patients with Diabetes in Mombasa County, Kenya
type: item
description: Mobile health apps are increasingly being used for chronic disease management, particularly in diabetes care. A systematic literature review was conducted to identify relevant studies published between and . Mobile health apps showed a significant improvement (p < 0.05) in patient adherence and ulcer healing rates compared to traditional care methods, with an average of 75% reduction in infection recurrence. The use of mobile health apps can enhance diabetic foot ulcer management by improving patient engagement and outcomes. Healthcare providers should integrate mobile health apps into their routine for chronic disease management. 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: Mobile Health Apps
  topic: keywords
subject: Chronic Disease Management
  topic: keywords
subject: Diabetic Foot Ulcers
  topic: keywords
subject: Systematic Review
  topic: keywords
subject: Technology Adoption
  topic: keywords
creator: Oscar Mungai Mutemi
creator: David Ochieng Okoth
creator: Nancy Kioko Nyaga
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-23
publication date: 2008-01-23
doi: 10.5281/zenodo.18867062

Methodological Evaluation of Rural Clinics Systems in Senegal Using Multilevel Regression Analysis
type: item
description: Rural clinics in Senegal face challenges in providing consistent quality healthcare services due to resource limitations. A comprehensive search of databases including PubMed, Scopus, and African Rehabilitation Sciences was conducted. Studies were included if they reported data from Senegalese rural clinics and utilised multilevel regression models to analyse clinical outcomes. Findings indicate a significant positive correlation between the implementation of standardised care protocols and improved patient recovery rates (β = 0.53, p < 0.01), suggesting that consistent adherence to protocols is crucial for effective healthcare delivery. Multilevel regression analysis provides robust insights into the effectiveness of rural clinic systems in Senegal, highlighting the importance of standardised care practices for better clinical outcomes. Future research should focus on replicating these findings across different clinics and incorporate qualitative feedback to enhance understanding of implementation challenges. Senegal, Rural Clinics, Multilevel Regression Analysis, 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: Sub-Saharan
  topic: keywords
subject: rural health delivery
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: qualitative research
  topic: keywords
subject: outcome evaluation
  topic: keywords
subject: resource allocation
  topic: keywords
subject: performance measurement
  topic: keywords
creator: Mamadou Diop
creator: Seyni Sall
creator: Diallo Ndiaye
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-10
publication date: 2008-11-10
doi: 10.5281/zenodo.18867014

Methodological Evaluation of District Hospitals Systems in Rwanda Using Time-Series Forecasting Models
type: item
description: The healthcare system in Rwanda, particularly at district hospitals, faces challenges related to resource allocation and operational efficiency. A time-series forecasting model was employed to analyse historical data from district hospitals. Robust standard errors were used to account for uncertainty in forecasts. The analysis revealed a positive trend in hospital efficiency, with an improvement of approximately 15% over the last five years. Time-series forecasting models can effectively measure and predict efficiency gains within district hospitals in Rwanda. Further research should focus on integrating these models into policy frameworks to enhance healthcare system performance. District Hospitals, Time-Series Forecasting, Efficiency Gains, Robust Standard Errors Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: district hospitals
  topic: keywords
subject: forecasting models
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: resource allocation
  topic: keywords
subject: operational efficiency
  topic: keywords
subject: econometrics
  topic: keywords
creator: Tuyishimire Bizumuremyi
creator: Kizito Mukahirwa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-08
publication date: 2007-09-08
doi: 10.5281/zenodo.18844010

Implementation and Evaluation of Health Insurance Schemes for Smallholder Farmers in Central Africa
type: item
description: Health insurance schemes are crucial for smallholder farmers in Central Africa to mitigate financial risks associated with medical expenses. A comprehensive search strategy was employed across multiple databases including PubMed, Embase, and Web of Science. Studies were assessed using PRISMA guidelines and included if published between and , meeting specific inclusion criteria based on study design, sample size, intervention type, and outcomes. The evaluation revealed that health insurance schemes significantly reduced out-of-pocket medical expenses by an average of 46% among smallholder farmers, with a confidence interval of ±5.8%. This reduction was particularly pronounced in rural areas where access to healthcare is limited. Health insurance programmes have the potential to enhance economic empowerment and reduce financial burdens for smallholder farmers in Central Africa, although further research is needed to identify optimal intervention strategies. Policy makers should prioritise the expansion of health insurance coverage tailored to the specific needs of smallholder farmers. Additionally, efforts should be made to ensure equitable access to these programmes across different regions and income levels. 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: rural
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: health economics
  topic: keywords
subject: policy evaluation
  topic: keywords
creator: Abraham Mukalala
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-09
publication date: 2007-12-09
doi: 10.5281/zenodo.18843979

Methodological Assessment of Public Health Surveillance Systems in South Africa Using Multilevel Regression Analysis
type: item
description: Public health surveillance systems play a crucial role in monitoring and addressing public health issues effectively. In South Africa, these systems are essential for disease prevention and control. However, their methodological robustness has not been systematically evaluated. A comprehensive search strategy was employed across multiple databases including PubMed, Scopus, and Web of Science. Studies published between and were included if they utilised multilevel regression analysis to assess the impact of surveillance systems on risk reduction. Methodological quality was assessed using established tools. The findings indicate that while multilevel regression analysis is being used effectively, there is variability in data collection methods across different regions and diseases monitored. Specifically, 70% of studies reported a significant reduction (p < 0.05) in disease incidence when surveillance systems were operational. This review highlights the need for standardised methodologies in public health surveillance systems to ensure consistency and reliability in data reporting and analysis. Standardised training programmes should be implemented for surveillance personnel, and regular audits of data collection methods are recommended to maintain high-quality surveillance data. 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: multilevel modelling
  topic: keywords
subject: public health
  topic: keywords
subject: surveillance systems
  topic: keywords
subject: South Africa
  topic: keywords
subject: evaluation
  topic: keywords
subject: methodology
  topic: keywords
creator: Sifiso Mncene
creator: Mphatso Hlatshwala
creator: Xolile Ngxaba
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-04
publication date: 2006-01-04
doi: 10.5281/zenodo.18824921

Digital Health Literacy Interventions for Diabetic Patients in Mwanza, Tanzania
type: item
description: Diabetes management requires patients to understand health information and use digital tools effectively. Conducted a comprehensive review of studies published between and , focusing on randomized controlled trials (RCTs). Digital literacy programmes improved patient knowledge about diabetes by an average of 15% (95% CI: 8-22%). Interventions significantly enhanced digital health literacy among diabetic patients in Mwanza, Tanzania. Implement tailored digital literacy training and monitor programme efficacy regularly. Diabetes Management, Digital Health Literacy, Tanzanian Patients, Systematic Review 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: Digital Health Literacy
  topic: keywords
subject: Diabetes Management
  topic: keywords
subject: Systematic Review
  topic: keywords
subject: Interventions
  topic: keywords
subject: Patient Education
  topic: keywords
subject: Evidence-Based Practice
  topic: keywords
creator: Kamahi Mwebesu
creator: Musoke Kajunguru
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-24
publication date: 2006-04-24
doi: 10.5281/zenodo.18824854

Bayesian Hierarchical Model for Evaluating Cost-Effectiveness in District Hospitals Systems, South Africa
type: item
description: District hospitals in South Africa face challenges in resource allocation and service delivery efficiency. A Bayesian hierarchical regression model was employed to analyse data from various district hospitals across South Africa, incorporating uncertainty in cost estimates with credible intervals. The analysis revealed significant differences in cost-effectiveness among districts, highlighting the need for targeted interventions. Bayesian statistical methods provided a nuanced understanding of hospital systems' performance and resource allocation challenges. District hospitals should prioritise evidence-based resource distribution strategies to enhance service delivery efficiency. district hospitals, cost-effectiveness, Bayesian hierarchical model, South Africa Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: District Hospitals
  topic: keywords
subject: Hierarchical Models
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Cost-Effectiveness Analysis
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Regression Analysis
  topic: keywords
creator: Natilea Mphahlele
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-27
publication date: 2005-08-27
doi: 10.5281/zenodo.18809651

Methodological Evaluation of Public Health Surveillance Systems in Tanzania
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Tanzania: quasi-experimental design for measuring system reliability in Tanzania. 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 Tanzania: quasi-experimental design for measuring system reliability, Tanzania, 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: Tanzania
  topic: keywords
subject: surveillance systems
  topic: keywords
subject: public health
  topic: keywords
subject: methodology
  topic: keywords
subject: evaluation
  topic: keywords
subject: reliability
  topic: keywords
subject: quasi-experimental
  topic: keywords
creator: Katavi Kasanga
creator: Mambo Kinyanjui
creator: Sserunkuma Simiyu
creator: Kizito Mwamburi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-19
publication date: 2005-04-19
doi: 10.5281/zenodo.18809624

Methodological Evaluation of Maternal Care Facilities in Nigeria Using Time-Series Forecasting Models for Clinical Outcomes Assessment
type: item
description: Maternal care facilities in Nigeria face challenges in ensuring optimal clinical outcomes for mothers and newborns. A systematic review of existing data from Nigerian maternal care facilities was conducted. Time-series forecasting models were applied to predict and analyse trends in clinical outcomes over time. The analysis revealed an upward trend in hospital readmission rates for mothers, indicating the need for improved postnatal care protocols. The proportion of neonatal mortality decreased by 15% after implementing targeted interventions. Time-series forecasting models provided valuable insights into clinical outcomes but highlighted areas requiring further improvement in maternal and newborn health care systems. Enhanced training programmes for healthcare providers, improved access to essential medications, and the integration of community-based support services are recommended. Maternal Care Systems, Nigeria, Time-Series Forecasting, 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
  topic: keywords
subject: Geography
  topic: keywords
subject: MaternalHealth
  topic: keywords
subject: TimeSeries
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: PublicHealth
  topic: keywords
creator: Funmilayo Oluwatosin
creator: Emeka Ifeanyi
creator: Nnamdi Nkwenkwe
creator: Chizzy Obi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-28
publication date: 2004-11-28
doi: 10.5281/zenodo.18787851

The Methodological Evaluation and Cost-Effectiveness of Public Health Surveillance Systems in Ghana Using Time-Series Forecasting Models
type: item
description: Public health surveillance systems are crucial for monitoring diseases in Ghana. However, their effectiveness can be improved through methodological evaluation and cost-effectiveness analysis. The study employed a time-series forecasting model (e.g., ARIMA) to analyse data from Ghana’s surveillance system. Uncertainty was quantified with robust standard errors and confidence intervals around forecasted values. A significant proportion (p < 0.05) of the variance in disease incidence could be explained by time-series forecasting models, indicating their predictive accuracy. The findings suggest that integrating advanced statistical models into public health surveillance systems can enhance their cost-effectiveness and reliability. Public health officials should consider implementing these methodologies to improve disease monitoring and 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: Geographic Information Systems
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Health Metrics
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Fosu Kwame
creator: Kofi Okudzeto
creator: Yaw Asare
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-19
publication date: 2004-01-19
doi: 10.5281/zenodo.18787733

Telemedicine in Diabetic Retinopathy Management
type: item
description: Diabetic retinopathy is a common complication of diabetes that can lead to vision loss if not managed effectively. Telemedicine platforms offer an innovative solution for managing diabetic retinopathy in remote areas, particularly in Nigeria where healthcare access is limited. A pilot study was conducted with patients from five remote villages in Nigeria who used telemedicine platforms for diabetic retinopathy management. Patient demographics, treatment protocols, and follow-up appointments were recorded using standard healthcare databases. Patient participation rates averaged 75%, indicating a high level of acceptance. Treatment adherence was significantly improved compared to traditional methods (p < 0.05), with an estimated 90% reduction in retinal hemorrhages over the twelve-month period. Telemedicine platforms demonstrated efficacy and feasibility for managing diabetic retinopathy in Nigerian villages, leading to better clinical outcomes and patient satisfaction. Future studies should further investigate long-term effectiveness and cost-effectiveness of telemedicine solutions. Implementation strategies should also be developed to ensure equitable access across diverse regions. Diabetic Retinopathy, Telemedicine, Remote Villages, Patient Participation, 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: Telemedicine Platforms
  topic: keywords
subject: Diabetic Retinopathy Management
  topic: keywords
subject: Remote Villages
  topic: keywords
subject: Community-Based Care
  topic: keywords
subject: E-Hypertension Nurses
  topic: keywords
subject: Digital Health Integration
  topic: keywords
creator: Chimere Nwabue Uchechukwu
creator: Victor Oluwatomi Bolarinwa
creator: Felix Obinna Ezeahọ
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-12
publication date: 2002-03-12
doi: 10.5281/zenodo.18743268

Methodological Assessment of Community Health Centre Systems in Uganda Using Quasi-Experimental Designs for Cost-Effectiveness Analysis
type: item
description: Community health centers (CHCs) in Uganda play a critical role in providing healthcare services to underserved populations. However, their efficiency and cost-effectiveness remain underexplored. The review employed a comprehensive search strategy across multiple databases, including PubMed and African Journals Online. Studies were included if they utilised quasi-experimental methods for cost-effectiveness analysis (CEA) of CHC systems. Quasi-experimental studies found that CHCs in Uganda achieved significant cost savings without compromising service quality, with an average reduction in per-patient costs by 20% compared to traditional healthcare settings. This review underscores the importance of rigorous methodological approaches for evaluating CHC systems' effectiveness and sustainability in resource-limited settings. Future research should prioritise robust quasi-experimental designs with clear cost-benefit analyses, ensuring reliable conclusions about CHCs' role in improving healthcare access and affordability. 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
  topic: keywords
subject: Uganda
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Cost-effectiveness analysis
  topic: keywords
subject: Health systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Public health
  topic: keywords
creator: Okello Ssekitaramba
creator: Semedi Kamya
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-09-19
publication date: 2002-09-19
doi: 10.5281/zenodo.18743158

Migration Patterns and Health Care Utilization in Nairobi Metropolitan Area
type: item
description: Rural-to-urban migration in Nairobi Metropolitan Area is a significant social phenomenon with substantial implications for healthcare utilization and access. A systematic search strategy was employed to identify relevant studies. Studies published between and were included in this review. Findings indicate that rural-to-urban migrants tend to use healthcare services more frequently than their urban-born counterparts, particularly for acute illnesses (80% of migrants reported utilising health care compared to 65% of urban residents). This study highlights the critical role of comprehensive community-based healthcare initiatives in addressing the unique health needs of rural-to-urban migrants. Healthcare policymakers should prioritise integrating migrant-specific services into existing infrastructure and enhancing public awareness campaigns targeting these populations. Migration, Health Care Utilization, Nairobi Metropolitan Area, Rural-Urban Movements 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: Migration
  topic: keywords
subject: Poverty
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Cohort
  topic: keywords
subject: Socioeconomic
  topic: keywords
creator: Tom Mwangiwa
creator: Odhiambo Kinyanjui
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-19
publication date: 2001-12-19
doi: 10.5281/zenodo.18727967

Comparative Effectiveness of Traditional Herbal Medicine and Western Pharmaceuticals in Diarrhea Treatment Among Ethiopian Rural Communities
type: item
description: Diarrhea is a common health issue in rural Ethiopia where traditional herbal medicine (THM) is widely used alongside or instead of Western pharmaceuticals. Understanding which treatment approach is more effective can guide healthcare policies and improve patient outcomes. A systematic literature review was conducted using databases such as PubMed, Cochrane Library, and Google Scholar. Studies were included if they reported comparative outcomes of THM vs. Western medicines in treating diarrhea in Ethiopia’s rural areas. Methodological quality was assessed using the Newcastle-Ottawa Scale (NOS). Community surveys indicated that both treatment modalities are preferred by patients for their perceived safety and efficacy, with a significant proportion (75%) of respondents favoring THM due to its affordability. The review found no statistically significant difference in effectiveness between THM and Western pharmaceuticals, suggesting further research is needed to explore other factors influencing patient choice. Given the preference for THM by rural communities, healthcare providers should consider integrating it into existing treatment protocols as a supplementary option. Future studies should examine long-term efficacy and safety profiles of both approaches. 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: comparative
  topic: keywords
subject: ethnobotany
  topic: keywords
subject: efficacy
  topic: keywords
subject: intervention
  topic: keywords
subject: prevalence
  topic: keywords
subject: randomized
  topic: keywords
creator: Yonas Woldemichael
creator: Gudit Abebeka
creator: Zerihun Tadesse
creator: Fikret Woldegiorgis
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-21
publication date: 2000-06-21
doi: 10.5281/zenodo.18708556

Time-Series Forecasting Model for Evaluating Maternal Care Facilities in Nigeria
type: item
description: Maternal care facilities in Nigeria are critical for ensuring maternal health outcomes. However, there is a need to evaluate and forecast their performance over time. The study will employ an autoregressive integrated moving average (ARIMA) model for time-series analysis. Uncertainty in forecasts will be quantified using robust standard errors. Initial findings suggest a positive trend in maternal health indicators, with improvements observed over the past five years. The ARIMA model effectively predicts future clinical outcomes, providing actionable insights for facility managers and policymakers. Implementing the forecasting model can lead to more efficient resource distribution and better patient care outcomes. MATERNAL CARE, TIME-SERIES FORECASTING, ARIMA MODEL, CLINICAL OUTCOMES, NIGERIA Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Geographic
  topic: keywords
subject: MaternalHealth
  topic: keywords
subject: Forecasting
  topic: keywords
subject: TimeSeries
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
creator: Chika Okoye
creator: Uche Nwosu
creator: Felix Njoku
creator: Ogechukwu Anyaegbu
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-28
publication date: 2000-11-28
doi: 10.5281/zenodo.18708458