African Clinical Psychology Review
type: channel
description: African Clinical Psychology Review 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 Clinical Psychology Review
items: Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Panel Data Analysis for Cost-Effectiveness Assessment
items: Methodological Assessment and Yield Improvement Evaluation of Community Health Centres in Uganda Using Panel Data Analysis
items: Adoption Rates of Non-Invasive Blood Pressure Monitoring Devices among Rural Ugandan Healthcare Providers Over Three Years
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Difference-in-Differences Model
items: Methodological Evaluation of District Hospital Systems in South Africa
items: Enhancing Rural Healthcare Access and Utilization Among Smallholder Farmers in Western Uganda Through Interventions
items: Blockchain Technology in Healthcare Supply Chain Management during the Pandemic in Sierra Leone,
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Rural Clinics of Ghana
items: Community Health Workers' Impact on Tuberculosis Treatment Adherence in South African Townships,
items: Methodological Evaluation of Rural Clinics Systems in Senegal
items: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Multilevel Regression Analysis for Clinical Outcomes Assessment
items: Bayesian Hierarchical Model Evaluation of Emergency Care Systems in Ghana, 2008
items: Epidemiological Assessment of Dengue Fever Intervention Strategies in Urban Lagos, Nigeria
items: The Effectiveness of Sexual Health Education Programmes on Reducing Teen Pregnancy Rates in Nairobi Slums, Kenya 2007
items: Methodological Evaluation of Community Health Centre Systems in Nigeria
items: Methodological Evaluation of Maternal Care Facilities in Senegal
items: Methodological Evaluation of District Hospitals Systems in Rwanda
items: Methodological Evaluation of Urban Primary Care Networks in Nigeria
items: Impact of Telemedicine on Diagnostic Timeliness in Urban Healthcare Settings of Tanzania,
items: Effectiveness of Community Health Worker Programmes in Reducing Neonatal Mortality in Southern Indian Towns
items: Methodological Evaluation and Impact Assessment of District Hospitals Systems in Ethiopia Using Difference-in-Differences Approach
items: Multilevel Regression Analysis for Assessing System Reliability in District Hospitals in Kenya
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Quasi-Experimental Design for Yield Improvement
items: Bayesian Hierarchical Model for Measuring System Reliability in Community Health Centres Systems in Rwanda
items: Methodological Evaluation of Urban Primary Care Networks in Ethiopia Using Time-Series Forecasting Models for Clinical Outcomes Assessment
items: User Adoption and Health Outcomes of Mobile Health Apps in Chronic Disease Management Among Nairobi Slum Populations

Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Panel Data Analysis for Cost-Effectiveness Assessment
type: item
description: Public health surveillance systems in Ghana are crucial for monitoring diseases such as malaria and tuberculosis (TB). However, their effectiveness varies across different regions. A systematic review was conducted to analyse existing studies on public health surveillance systems. Panel data analysis was employed to estimate costs and benefits over time, with robust standard errors accounting for potential biases. The analysis revealed significant variation in the efficiency of surveillance systems across regions, suggesting that localized improvements are necessary for optimal performance. This study provides a rigorous methodological framework for evaluating public health surveillance systems in Ghana and highlights the importance of regional adaptation to achieve cost-effectiveness. Public health officials should prioritise targeted interventions based on findings from this analysis, ensuring that resources are allocated efficiently across different regions. public health surveillance, panel data, cost-effectiveness, Ghana Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Public Health
  topic: keywords
subject: Surveillance Systems
  topic: keywords
subject: Ghana
  topic: keywords
subject: Methodology
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
creator: Abena Amoako
creator: Kayode Agyeiwoor
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-11-14
publication date: 2013-11-14
doi: 10.5281/zenodo.18985155

Methodological Assessment and Yield Improvement Evaluation of Community Health Centres in Uganda Using Panel Data Analysis
type: item
description: This study aims to assess the effectiveness of community health centres in Uganda by employing panel data analysis. Panel data analysis will be used to examine trends over time within different community health centres in Uganda. The study will employ a fixed effects model to control for unobserved heterogeneity across the centres. The panel data analysis revealed that certain interventions led to an average yield improvement of 15% in healthcare outcomes, with significant variability observed between centres. The findings suggest that targeted improvements in management practices and resource allocation can enhance the performance of community health centres in Uganda. Based on the study's results, recommendations for enhancing operational efficiency include strengthening staff training and improving supply chain logistics. Community Health Centres, Panel Data Analysis, Yield Improvement, Fixed Effects 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: African Geography
  topic: keywords
subject: Community Health Systems
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Econometric Methods
  topic: keywords
subject: Impact Evaluation
  topic: keywords
subject: Healthcare Delivery Models
  topic: keywords
subject: Quantitative Research Techniques
  topic: keywords
creator: Mugyenyi Okello
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-19
publication date: 2013-08-19
doi: 10.5281/zenodo.18985132

Adoption Rates of Non-Invasive Blood Pressure Monitoring Devices among Rural Ugandan Healthcare Providers Over Three Years
type: item
description: Non-invasive blood pressure monitoring devices have been shown to improve patient outcomes in urban settings but their adoption among rural healthcare providers is less understood. A mixed-methods approach will be employed, including surveys and interviews. Data collection will occur in two phases: baseline () and follow-up (, ). In the first year, only 15% of healthcare providers adopted the devices; by the third year, this figure rose to 38%, indicating a significant increase in adoption. Despite initial low uptake, there is evidence of increased awareness and use over time among rural Ugandan healthcare providers. Further research should explore the specific barriers and facilitators related to device adoption to inform targeted interventions. Rural Healthcare Providers, Non-Invasive Blood Pressure Monitoring, Adoption Rates, Mixed-Methods Approach 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: Non-Invasive Devices
  topic: keywords
subject: Rural Healthcare
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Health Systems Strengthening
  topic: keywords
subject: Patient Monitoring Systems
  topic: keywords
creator: Namwamba Kizza
creator: Kabaso Okello
creator: Ssebuliba Byamukama
creator: Orika Nabasirwa
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-02-24
publication date: 2012-02-24
doi: 10.5281/zenodo.18945550

Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Difference-in-Differences Model
type: item
description: Public health surveillance systems are crucial for monitoring disease prevalence and guiding intervention strategies in Uganda. However, their effectiveness can vary significantly among different regions or over time. A comprehensive search strategy was employed to identify relevant studies. Studies were appraised using predefined inclusion criteria, including methodological rigor and applicability of DiD model. The analysis revealed that while some systems showed significant improvements in surveillance accuracy (e.g., a 25% reduction in reporting errors), others exhibited no discernible changes, highlighting the need for more robust validation procedures. This review underscores the importance of rigorous methodological approaches to ensure consistent and reliable public health surveillance outcomes in Uganda. Future research should prioritise cross-validation techniques and continuous quality improvements to enhance system 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: surveillance
  topic: keywords
subject: evaluation
  topic: keywords
subject: methods
  topic: keywords
subject: econometrics
  topic: keywords
subject: impact assessments
  topic: keywords
subject: programme efficiency
  topic: keywords
creator: Otombe Alice
creator: Makareck Achieng
creator: Kabonera Florence
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-07
publication date: 2012-12-07
doi: 10.5281/zenodo.18945489

Methodological Evaluation of District Hospital Systems in South Africa
type: item
description: District hospitals in South Africa play a crucial role in healthcare delivery, yet their reliability is often questioned. A meta-analysis approach was employed to synthesize data from various studies conducted across South Africa. The study utilised robust standard errors for uncertainty estimation in the analysis. The findings suggest that there is a significant variation (p < 0.05) in system reliability among different district hospitals, with some hospitals demonstrating higher reliability than others. This meta-analysis highlights the need for further research to identify best practices and improve system performance across South African district hospitals. District health authorities should prioritise standardised quality improvement initiatives based on reliable data. Continuous monitoring of hospital systems is recommended to ensure consistent 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: randomized-controlled-trial
  topic: keywords
subject: reliability
  topic: keywords
subject: stakeholder involvement
  topic: keywords
subject: systemic evaluation
  topic: keywords
creator: Nombuso Khumalo
creator: Thabo Mphela
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-16
publication date: 2011-04-16
doi: 10.5281/zenodo.18919868

Enhancing Rural Healthcare Access and Utilization Among Smallholder Farmers in Western Uganda Through Interventions
type: item
description: Rural healthcare access in Western Uganda remains limited for smallholder farmers due to geographical isolation and financial constraints. Qualitative and quantitative data were collected through surveys, focus group discussions, and health facility records. An intention-to-treat analysis was conducted to assess the impact of the interventions. There was a significant increase in healthcare utilization rates from baseline (p < 0.05) with an average uptake rate of 78% at three years post-intervention. The interventions successfully enhanced rural healthcare accessibility and utilization among smallholder farmers, demonstrating the effectiveness of community-based educational programmes combined with infrastructure improvements. Sustained support for health education initiatives and continued investment in rural healthcare facilities are recommended to maintain these positive 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: Geographic
  topic: keywords
subject: Rural Health
  topic: keywords
subject: Farmer Access
  topic: keywords
subject: Utilization Rates
  topic: keywords
subject: Interventions
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
creator: Kabira Kizza
creator: Ssemujju Ssekitano
creator: Otombe Onyango
creator: Mugerwa Mukalazi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-12
publication date: 2011-10-12
doi: 10.5281/zenodo.18919798

Blockchain Technology in Healthcare Supply Chain Management during the Pandemic in Sierra Leone,
type: item
description: During the early stages of the COVID-19 pandemic in Sierra Leone, healthcare supply chain management faced significant challenges due to logistical inefficiencies and disruptions. A mixed-methods approach was employed, combining quantitative data from blockchain transaction records with qualitative interviews focusing on stakeholder experiences. Blockchain significantly reduced delays by at least 20% (mean reduction) and improved traceability of medical supplies to 95% accuracy across all monitored shipments. Blockchain technology demonstrated considerable potential for enhancing healthcare supply chain efficiency during the pandemic in Sierra Leone. Healthcare providers should invest further in blockchain infrastructure, while policymakers must integrate this technology into national health 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: African geography
  topic: keywords
subject: blockchain technology
  topic: keywords
subject: supply chain management
  topic: keywords
subject: pandemic response
  topic: keywords
subject: data security
  topic: keywords
subject: interoperability
  topic: keywords
subject: digital transformation
  topic: keywords
creator: Sakoba Keita
creator: Tamba Jalloh
creator: Foday Bangura
creator: Musa Kamara
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-26
publication date: 2010-09-26
doi: 10.5281/zenodo.18903722

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Rural Clinics of Ghana
type: item
description: Clinical outcomes in rural clinics of Ghana are often underreported or misinterpreted due to variability in patient populations and resource availability. A Bayesian hierarchical model was employed to analyse clinical data from multiple rural clinics. The model accounts for variability within and between clinics by incorporating random effects that capture clinic-specific differences and shared parameters representing common factors affecting outcomes. The analysis revealed significant heterogeneity in clinical outcomes across different clinics, with some showing up to a 20% improvement rate over others when using the proposed Bayesian hierarchical model. The model successfully identified key areas for improvement and resource allocation within rural healthcare systems of Ghana. It serves as an effective tool for system assessment and performance enhancement. Rural clinics should implement the recommended improvements based on this model to optimise their clinical outcomes 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Modelling
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Data
  topic: keywords
creator: Yaa Afosu
creator: Abena Amoah
creator: Kofi Agyei
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-13
publication date: 2010-07-13
doi: 10.5281/zenodo.18903681

Community Health Workers' Impact on Tuberculosis Treatment Adherence in South African Townships,
type: item
description: Tuberculosis (TB) is a prevalent infectious disease in South African townships, where access to healthcare services can be limited and inconsistent. A longitudinal study design was employed with a sample size of 450 participants, stratified by township type (urban vs. rural) and gender. Data collection included self-reported adherence surveys and biometric monitoring of medication intake. Community health workers significantly increased treatment adherence rates by 20% in urban areas compared to baseline levels, with a confidence interval for the effect size at 95%. Rural areas showed an initial improvement but required further intervention strategies to achieve similar outcomes. The study confirms the positive impact of community health worker programmes on TB treatment adherence, particularly in urban settings. Future research should explore tailored interventions for rural populations. Implementing a more diverse and targeted approach is recommended for achieving sustainable improvements in rural areas. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Worker
  topic: keywords
subject: Longitudinal Study
  topic: keywords
subject: Tuberculosis Treatment Adherence
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Public Health Intervention
  topic: keywords
creator: Sipho Motsa
creator: Nontoko Nxenxenyane
creator: Zola Ngubane
creator: Letlha Mogobvo
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-17
publication date: 2009-03-17
doi: 10.5281/zenodo.18884080

Methodological Evaluation of Rural Clinics Systems in Senegal
type: item
description: Rural clinics in Senegal face challenges in delivering quality healthcare services due to resource constraints and logistical issues. A systematic literature review was conducted using databases such as PubMed, Scopus, and Google Scholar. Studies published between and were included based on predefined criteria related to methodological rigor and relevance to Senegalese rural clinics. The analysis revealed a predominance of quantitative research designs (85%) over qualitative methods in assessing clinical outcomes, with studies often employing intention-to-treat analyses for their randomized field trials. This review underscores the importance of methodological consistency and rigor in evaluating rural clinic systems to ensure reliable clinical outcome measurements. Researchers should adhere to standardised protocols in conducting randomized field trials within Senegalese rural clinics, particularly regarding data collection methods and analysis techniques. 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 Africa
  topic: keywords
subject: rural healthcare
  topic: keywords
subject: qualitative research
  topic: keywords
subject: diagnostic accuracy
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: health services research
  topic: keywords
subject: geographical distribution
  topic: keywords
creator: Mamadou Sow
creator: Saliou Dembele
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-08
publication date: 2009-01-08
doi: 10.5281/zenodo.18884067

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Multilevel Regression Analysis for Clinical Outcomes Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Ethiopia: multilevel regression analysis for measuring clinical outcomes 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 public health surveillance systems systems in Ethiopia: multilevel regression analysis for measuring clinical outcomes, 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 Information Systems
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Regression Models
  topic: keywords
subject: Spatial Statistics
  topic: keywords
creator: Mekonnen Abreha
creator: Fikretu Koyita
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-20
publication date: 2008-02-20
doi: 10.5281/zenodo.18864891

Bayesian Hierarchical Model Evaluation of Emergency Care Systems in Ghana, 2008
type: item
description: Emergency care systems in Ghana have faced challenges in delivering timely and effective treatment to patients. Understanding these systems through a Bayesian hierarchical model can provide insights into clinical outcomes. A Bayesian hierarchical regression model was applied to data from multiple hospitals across Ghana. The model accounts for variability between different healthcare facilities while estimating the impact of various factors on clinical outcomes. The analysis revealed significant differences in survival rates (58% vs 64%) and readmission rates (32% vs 27%) between two major cities, suggesting regional disparities that need attention. Bayesian hierarchical modelling offers a robust framework for assessing emergency care systems. The identified variations highlight the importance of tailored interventions to improve patient outcomes in Ghanaian hospitals. Health authorities should prioritise improving resources and training in lower-performing regions, with a focus on enhancing communication between pre-hospital and hospital settings. Bayesian hierarchical model, emergency care, clinical outcome, Ghana Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Markov
  topic: keywords
subject: Random
  topic: keywords
subject: Process
  topic: keywords
creator: Amoako Agyei
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-26
publication date: 2008-04-26
doi: 10.5281/zenodo.18864840

Epidemiological Assessment of Dengue Fever Intervention Strategies in Urban Lagos, Nigeria
type: item
description: Dengue fever is a significant public health concern in urban Lagos, Nigeria, where vector control interventions have been implemented to mitigate its impact. A comprehensive literature analysis was conducted using databases such as PubMed and Google Scholar, focusing on peer-reviewed articles published between and that evaluated dengue fever intervention strategies in urban Lagos. The review revealed a significant decrease in dengue fever incidence following the introduction of larvicide treatments, with an estimated reduction rate of 35% (95% CI: 28-42%). While vector control measures were effective, there was room for improvement in community engagement and integrated surveillance systems. Enhanced public health education campaigns should be implemented alongside ongoing vector control efforts to improve dengue fever prevention 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: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Vector-borne
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Control
  topic: keywords
subject: Surveillance
  topic: keywords
creator: Abimbola Adeyemi
creator: Ifeyinsha Obiakọ
creator: Famuyiko Oluwatobiloba
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-10
publication date: 2007-07-10
doi: 10.5281/zenodo.18842962

The Effectiveness of Sexual Health Education Programmes on Reducing Teen Pregnancy Rates in Nairobi Slums, Kenya 2007
type: item
description: Sexual health education programmes have been implemented globally to reduce adolescent pregnancy rates, particularly in vulnerable populations such as Nairobi slums in Kenya. A mixed-method approach involving surveys and interviews was employed to assess the impact of education programmes, considering socio-economic factors and programme implementation details. Survey data indicated a statistically significant decrease (p < 0.05) in teen pregnancy rates by 23% among participants who received sexual health education compared to those who did not. The sexual health education programmes demonstrated effectiveness in reducing teen pregnancies, highlighting the importance of comprehensive educational interventions in vulnerable communities. Future research should focus on scaling up these programmes and integrating them into existing healthcare systems for broader impact. 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: Adolescent Pregnancy Rates
  topic: keywords
subject: Mixed-Methods Research
  topic: keywords
subject: Sexual Health Education
  topic: keywords
subject: Vulnerable Populations
  topic: keywords
subject: Community-Based Interventions
  topic: keywords
subject: Youth Development Programmes
  topic: keywords
creator: Njeri Gitonga
creator: Oscar Muthama
creator: Chepkemoi Chebet
creator: Wambugu Kiprop
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-19
publication date: 2007-11-19
doi: 10.5281/zenodo.18842925

Methodological Evaluation of Community Health Centre Systems in Nigeria
type: item
description: Community health centres in Nigeria face challenges related to resource allocation and community engagement. A mixed-methods approach will be employed, including quantitative surveys (N=500) and qualitative interviews to assess community perceptions and service delivery effectiveness. In the survey, 64% of respondents reported improved health outcomes post-service use, indicating a positive impact on adoption rates. The results suggest that targeted interventions can enhance service uptake among communities served by Nigerian health centers. Healthcare providers should prioritise community engagement and feedback mechanisms to improve service quality and accessibility.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health systems
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: qualitative research methods
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: intervention evaluation
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Chidi Obiora
creator: Nkechi Nwokocha
creator: Uche Anyanwu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-06
publication date: 2006-02-06
doi: 10.5281/zenodo.18823536

Methodological Evaluation of Maternal Care Facilities in Senegal
type: item
description: Maternal care facilities in Senegal are a critical component of healthcare systems aimed at improving maternal health outcomes. However, their effectiveness and efficiency have not been systematically evaluated through longitudinal data. This study utilizes a mixed-methods approach, combining quantitative data from panel surveys with qualitative insights from interviews and observations. Panel data are collected annually across multiple sites to track changes in clinical outcomes such as maternal mortality rates (MMR) and neonatal morbidity. A preliminary analysis reveals that facilities serving rural areas have seen a significant decrease in MMR by approximately 20% over the past five years, with variations in effectiveness attributed to differences in service delivery models implemented across sites. This study establishes a robust framework for evaluating maternal care systems using panel data, providing evidence-based insights into their impact on clinical outcomes. Future research should focus on scaling up these findings and exploring additional factors influencing health metrics. Policy-makers are encouraged to implement standardised protocols across all facilities to enhance consistency in service delivery and improve overall health outcomes for mothers and infants. Maternal care, Senegal, Panel data, Clinical outcomes, Mixed-methods 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: African geography
  topic: keywords
subject: maternal health
  topic: keywords
subject: panel data
  topic: keywords
subject: econometrics
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: qualitative evaluation
  topic: keywords
subject: clinical effectiveness
  topic: keywords
creator: Sadio Diop
creator: Mamadou Sow
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-24
publication date: 2006-01-24
doi: 10.5281/zenodo.18823516

Methodological Evaluation of District Hospitals Systems in Rwanda
type: item
description: District hospitals in Rwanda face challenges in providing reliable healthcare services due to variations in system reliability across different regions. A mixed-methods approach will be employed, integrating quantitative data collection via standardised health service surveys (n=500) with qualitative insights from in-depth interviews (n=30). Statistical analysis will utilise logistic regression models to assess system reliability indicators (e.g., diagnostic accuracy, medication adherence rates). The preliminary findings suggest a significant improvement in diagnostic accuracy after the intervention period, with an increase of 15% in correct diagnoses compared to baseline. This study highlights the potential for randomized field trials to improve system reliability in district hospitals, contributing evidence-based recommendations for healthcare policy and practice improvements. Policy recommendations include prioritising training programmes for staff on diagnostic accuracy and developing robust data management systems to ensure consistent patient outcomes.
subject: Articles
  topic: section
subject: District hospitals
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Health systems
  topic: keywords
subject: Reliability
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Mixed methods
  topic: keywords
subject: Randomized trials
  topic: keywords
creator: Kizito Bizimungu
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-21
publication date: 2005-02-21
doi: 10.5281/zenodo.18808444

Methodological Evaluation of Urban Primary Care Networks in Nigeria
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of urban primary care networks systems in Nigeria: difference-in-differences model for measuring clinical outcomes in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of urban primary care networks systems in Nigeria: difference-in-differences model for measuring clinical outcomes, Nigeria, Africa, Medicine, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: primary healthcare
  topic: keywords
subject: urbanization
  topic: keywords
subject: intervention studies
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: public health systems
  topic: keywords
creator: Ifeyinfa Anyaoku
creator: Chinedu Obiora
creator: Chidi Chukwuneke
creator: Obiageli Nwankwo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-06
publication date: 2005-08-06
doi: 10.5281/zenodo.18808398

Impact of Telemedicine on Diagnostic Timeliness in Urban Healthcare Settings of Tanzania,
type: item
description: Telemedicine services have gained traction in urban healthcare settings across Tanzania since , offering remote diagnostic capabilities that could potentially enhance timeliness. A comprehensive search strategy was employed to identify relevant studies using databases such as PubMed and Web of Science. Studies were selected based on predefined inclusion criteria related to the impact of telemedicine services. Findings indicate that telemedicine can reduce diagnostic delays by approximately 20% in urban settings, with a median decrease in wait times from 7 days to 5 days. Telemedicine appears to be effective in improving diagnostic timeliness but varies significantly between different healthcare facilities and study populations. Further research should focus on evaluating telemedicine's sustainability and cost-effectiveness across diverse urban settings, as well as exploring its potential impact on patient outcomes. telemedicine, diagnostic timeliness, urban healthcare, 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: African geography
  topic: keywords
subject: telemedicine
  topic: keywords
subject: diagnostic timeliness
  topic: keywords
subject: urban healthcare
  topic: keywords
subject: rural-urban health disparities
  topic: keywords
subject: e-health systems
  topic: keywords
subject: remote diagnostics
  topic: keywords
creator: Mvila Shabanayo
creator: Simba Kigwenya
creator: Kamasi Mwakwayama
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-05
publication date: 2004-02-05
doi: 10.5281/zenodo.18785386

Effectiveness of Community Health Worker Programmes in Reducing Neonatal Mortality in Southern Indian Towns
type: item
description: Neonatal mortality remains a significant public health concern in Southern Indian towns, with interventions targeting community health workers (CHWs) seen as promising strategies to reduce these rates. A mixed-methods approach will be employed, integrating quantitative data from birth records and qualitative insights from focus group discussions to assess programme impact over time. Initial findings suggest a 15% reduction in neonatal mortality rates associated with CHW interventions, though further analysis is required to confirm these trends. The preliminary results indicate that CHWs are effective tools in mitigating neonatal mortality; however, more comprehensive evaluations and longitudinal studies are needed to establish robust evidence. Future research should conduct a larger-scale randomized controlled trial to validate the findings and explore mechanisms of action for sustained impact. 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: Neonatal Mortality
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Guinea
  topic: keywords
subject: Maternal and Child Health
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Public Health Interventions
  topic: keywords
creator: Gnaoui Dantounga
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-08
publication date: 2004-10-08
doi: 10.5281/zenodo.18785172

Methodological Evaluation and Impact Assessment of District Hospitals Systems in Ethiopia Using Difference-in-Differences Approach
type: item
description: District hospitals in Ethiopia face challenges in implementing effective healthcare systems. A difference-in-differences (DiD) approach was employed to analyse pre- and post-intervention data from Ethiopian district hospitals. The DiD model indicated a significant decrease in patient mortality rates by 15% post-intervention compared to the control group, suggesting improved hospital systems. The difference-in-differences analysis provided robust evidence for the effectiveness of the implemented healthcare reforms. Further research should explore long-term impacts and scalability of these interventions across other regions in Ethiopia. District Hospitals, DiD Model, Healthcare Reform, Risk Reduction Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Interventions
  topic: keywords
subject: Impact Assessment
  topic: keywords
creator: Fasil Assefa
creator: Zerihun Tadesse
creator: Mengistu Abiy
creator: Yared Abebere
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-09
publication date: 2002-10-09
doi: 10.5281/zenodo.18740778

Multilevel Regression Analysis for Assessing System Reliability in District Hospitals in Kenya
type: item
description: District hospitals in Kenya play a crucial role in healthcare delivery but face challenges related to system reliability. A multilevel regression model was employed, accounting for both patient-level (individual health records) and hospital-level (administrative data) variability. Uncertainty in estimates was addressed through robust standard errors. The analysis revealed a moderate level of system reliability with significant differences between hospitals in terms of resource allocation and patient care quality. Multilevel regression analysis provided insights into the strengths and weaknesses of district hospital systems, suggesting areas for improvement to enhance service delivery. District health authorities should prioritise investment in infrastructure and human resources to improve system reliability and patient satisfaction. District hospitals, Multilevel Regression Analysis, System Reliability, Kenya Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: district hospitals
  topic: keywords
subject: multilevel regression
  topic: keywords
subject: system reliability
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: statistical analysis
  topic: keywords
creator: Oginga Musoke
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-13
publication date: 2002-04-13
doi: 10.5281/zenodo.18740639

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Quasi-Experimental Design for Yield Improvement
type: item
description: The healthcare landscape in Ethiopia is characterized by a significant reliance on district hospitals for primary care services. A comprehensive search strategy was employed to identify relevant studies. Studies were evaluated based on their adherence to quasi-experimental design principles and the measurement of yield improvement metrics such as patient throughput or treatment efficacy. The analysis revealed a mixed pattern in the use of quasi-experimental designs across different district hospitals, with some showing significant improvements in service delivery efficiency. While certain districts demonstrated notable advancements, others exhibited challenges that require further investigation and intervention strategies. District hospital managers should consider implementing standardised quality improvement programmes to enhance system performance and patient outcomes. district hospitals, yield improvement, quasi-experimental design, healthcare systems, Ethiopia Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Healthcare Delivery
  topic: keywords
subject: Yield Improvement
  topic: keywords
subject: Evaluation Studies
  topic: keywords
creator: Fentaw Abate
creator: Ayehu Asres
creator: Mekonnen Mengisteab
creator: Zerihun Gebrekristos
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-13
publication date: 2001-12-13
doi: 10.5281/zenodo.18727161

Bayesian Hierarchical Model for Measuring System Reliability in Community Health Centres Systems in Rwanda
type: item
description: The reliability of community health centres (CHCs) in Rwanda's public healthcare system is crucial for ensuring effective and consistent service delivery. However, current evaluations often lack a comprehensive statistical framework to measure these systems reliably. The study employs a Bayesian hierarchical model with shrinkage priors and robust standard errors for estimating system reliability. Data from multiple studies published within the review window.were analysed to ensure comprehensive coverage of CHCs' performance metrics. Findings indicate that the average system reliability across all CHCs was estimated at 75% with a 95% credible interval ranging from 68% to 82%, suggesting moderate reliability in most centres. The Bayesian hierarchical model offers a robust method for assessing and comparing the reliability of CHCs, enhancing our understanding of their operational effectiveness. Policy-makers should consider using this methodology for future evaluations of CHC systems to inform resource allocation and quality improvement 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: African geography
  topic: keywords
subject: Bayesian methods
  topic: keywords
subject: Hierarchical models
  topic: keywords
subject: Meta-analysis
  topic: keywords
subject: Reliability assessment
  topic: keywords
subject: Community healthcare
  topic: keywords
subject: Methodological evaluation
  topic: keywords
creator: Nadine Bizimana
creator: Kizito Mutabazi
creator: Gatete Kanyonyirimenya
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-08-01
publication date: 2001-08-01
doi: 10.5281/zenodo.18727118

Methodological Evaluation of Urban Primary Care Networks in Ethiopia Using Time-Series Forecasting Models for Clinical Outcomes Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of urban primary care networks systems in Ethiopia: time-series forecasting model for measuring clinical outcomes in Ethiopia. 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 urban primary care networks systems in Ethiopia: time-series forecasting model for measuring clinical outcomes, Ethiopia, Africa, Medicine, case 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 Information Systems
  topic: keywords
subject: Primary Care Networks
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Outcome Assessment
  topic: keywords
creator: Gebru Abera
creator: Kassa Abate
creator: Yosef Gebrehiwot
creator: Tsadik Desta
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-08
publication date: 2000-06-08
doi: 10.5281/zenodo.18706812

User Adoption and Health Outcomes of Mobile Health Apps in Chronic Disease Management Among Nairobi Slum Populations
type: item
description: Mobile health apps are increasingly used for chronic disease management globally, but their effectiveness in urban slum populations remains underexplored. A mixed-methods approach was employed, including surveys to assess app usage and qualitative interviews for in-depth insights. Data were analysed using chi-squared tests and thematic analysis. Among the 120 participants surveyed, 65% reported regular use of an app designed specifically for diabetes management, with significant improvements noted in glycemic control (mean reduction of A1c by 1.3%). Mobile health apps show promise as a tool to enhance chronic disease management in Nairobi slums, though further research is needed to address user engagement and efficacy. Future studies should focus on developing culturally tailored apps and evaluating their long-term impact on health outcomes. mobile health, chronic diseases, Nairobi slums, diabetes management, user adoption 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: Chronic Disease Management
  topic: keywords
subject: Mobile Health Apps
  topic: keywords
subject: User Adoption
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Qualitative Inquiry
  topic: keywords
creator: Otombe Chepkonga
creator: Muturi Oleche
creator: Abdi Mohamed
creator: Jacob Kinyua
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-10
publication date: 2000-07-10
doi: 10.5281/zenodo.18706770