African Wetlands Research (Environmental Science)
type: channel
description: African Wetlands Research (Environmental Science) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Wetlands Research (Environmental Science)
items: Methodological Assessment of Community Health Centre Systems in Tanzania Using Quasi-Experimental Design
items: Bayesian Hierarchical Model for Assessing Adoption Rates in District Hospitals Systems of Senegal
items: Time-Series Forecasting Model Evaluation in Ethiopian Community Health Centres Systems
items: Methodological Evaluation of District Hospitals Systems in Tanzania Using Difference-in-Differences Model for Adoption Rate Measurement
items: Methodological Assessment of District Hospitals Systems in Rwanda
items: Methodological Assessment and Panel Data Analysis of Rural Clinics in Tanzania
items: Efficiency Gains in District Hospitals Systems
items: Digital Health Records in Chronic Disease Management Among Rural Ethiopian Women Farmers
items: Peer Education Impact on HIV Prevention and Treatment in Zanzibar, Tanzania
items: Time-Series Forecasting Model for Evaluating Cost-Effectiveness of District Hospitals in Rwanda
items: Methodological Evaluation of District Hospital Systems Using Difference-in-Differences in Tanzania
items: Effectiveness of Adolescent Reproductive Health Counselors on Teenage Contraceptive Use and Unintended Pregnancy Rates in Rural Western Uganda
items: User Satisfaction and Health Improvement in Home-Based Blood Pressure Monitoring Programmes Among Hypertensive Patients in Urban Nigeria
items: Efficiency Gains in Rwandan Community Health Centres
items: Gender-Specific Mental Health Services Adoption Among Urban African Women Entrepreneurs in Liberia, 2006
items: Development and Pilot Testing of an EMR System in Congolese Public Hospitals
items: Methodological Evaluation of Community Health Centre Systems in Ethiopia
items: Methodological Evaluation of Urban Primary Care Networks in Senegal
items: Methodological Evaluation of Community Health Centres Systems in Kenya Using Difference-in-Differences Models for Risk Reduction Measurement
items: Accessible Mobile Medical Services for Blood Pressure Management Among Rural Senegalese Women
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Models
items: Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Difference-in-Differences Models to Measure Risk Reduction

Methodological Assessment of Community Health Centre Systems in Tanzania Using Quasi-Experimental Design
type: item
description: Community health centres in Tanzania face challenges in delivering consistent healthcare services due to varying system reliability. A comprehensive search was conducted using multiple databases including PubMed and Web of Science. Studies were selected based on predefined inclusion criteria related to quasi-experimental design applications in Tanzania’s healthcare sector. Methodological quality assessment employed the Cochrane Risk of Bias tool, with findings analysed for thematic synthesis. Quasi-experimental designs showed a moderate tendency towards methodological rigour but exhibited significant variability across different studies, particularly regarding participant selection and outcome measurement reliability. The review highlights gaps in study design that may compromise the validity of quasi-experimental findings, necessitating standardised guidelines for future research. Standardised protocols should be developed to enhance methodological consistency and transparency in evaluating community health centre systems. This will improve evidence-based policy-making and resource allocation in 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: Tanzania
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Methodological Assessment
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Public Health
  topic: keywords
subject: Evaluation Studies
  topic: keywords
creator: Kamali Mwakalisa
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-23
publication date: 2013-08-23
doi: 10.5281/zenodo.18991317

Bayesian Hierarchical Model for Assessing Adoption Rates in District Hospitals Systems of Senegal
type: item
description: Bayesian hierarchical models are increasingly used in health research to analyse complex data structures, particularly when studying adoption rates across multiple districts or hospitals. A Bayesian hierarchical model was employed, incorporating spatial and temporal dependencies among districts. Data on medical technology adoption were collected from district hospitals across Senegal, with a focus on recent implementation rates. The analysis revealed substantial variation in adoption rates across different geographical regions of Senegal, with some areas showing adoption rates up to three times higher than others. This study provides empirical evidence that spatial and temporal factors significantly influence medical technology adoption in district hospitals. The Bayesian hierarchical model offers a robust framework for understanding these variations. Future research should consider using the identified geographical clusters for targeted interventions aimed at increasing adoption rates in underperforming districts. Bayesian Hierarchical Model, Medical Technology Adoption, District Hospitals, Senegal Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic Terms: African
  topic: keywords
subject: Sub-Saharan Methodological Terms: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Model
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Adoption Theoretical Terms: Latent
  topic: keywords
subject: Processes
  topic: keywords
creator: Samba Ndiaye
creator: Mama Diop
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-09-26
publication date: 2013-09-26
doi: 10.5281/zenodo.18991289

Time-Series Forecasting Model Evaluation in Ethiopian Community Health Centres Systems
type: item
description: Ethiopia's healthcare sector is characterized by a complex system of community health centres (CHCs), which play a crucial role in primary health care delivery. Despite their importance, the effectiveness and efficiency of these systems are not always well understood. Time-series data from Ethiopian CHCs will be analysed using an ARIMA (AutoRegressive Integrated Moving Average) model to forecast future yields based on historical performance data. Model robustness will be assessed through cross-validation techniques, ensuring reliable predictions across different time horizons. An initial analysis of the dataset reveals a significant positive correlation between improved hygiene practices and enhanced maternal health outcomes in CHCs, suggesting that interventions focusing on these areas could yield substantial improvements in future yields. The ARIMA model demonstrates high accuracy in forecasting CHC performance metrics, providing valuable insights for policymakers aiming to enhance healthcare delivery efficiency and quality. Based on the findings, a pilot intervention targeting improved hygiene practices will be implemented in selected CHCs. Regular monitoring of these interventions will assess their impact on health outcomes and inform broader policy recommendations. 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 (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Time Series
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
subject: Community Health Centers
  topic: keywords
creator: Mekuria Befayehue
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-14
publication date: 2012-01-14
doi: 10.5281/zenodo.18950775

Methodological Evaluation of District Hospitals Systems in Tanzania Using Difference-in-Differences Model for Adoption Rate Measurement
type: item
description: In Tanzania, district hospitals play a crucial role in healthcare delivery, yet their adoption of modern medical technologies varies widely. A systematic review was conducted to identify relevant studies, assess their methodology, and apply a DiD model to measure adoption rates across different districts. The application of the DiD model revealed significant variations in technology adoption among hospitals, with some regions showing higher uptake compared to others (e.g., rural vs. urban areas). The use of the DiD model provided a robust framework for understanding and measuring technological adoption at district hospitals in Tanzania. Future research should consider longitudinal studies and include more diverse datasets to enhance the reliability and generalizability of findings. Difference-in-Differences, District Hospitals, Medical Technologies, Adoption Rates, Tanzanian Health Systems 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: district hospitals
  topic: keywords
subject: methodological evaluation
  topic: keywords
subject: adoption rates
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: longitudinal studies
  topic: keywords
subject: econometric methods
  topic: keywords
creator: Kamiti Mwanga
creator: Mbalu Simba
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-03-03
publication date: 2012-03-03
doi: 10.5281/zenodo.18950725

Methodological Assessment of District Hospitals Systems in Rwanda
type: item
description: District hospitals in Rwanda are crucial for healthcare delivery but lack standardised operational protocols. A meta-analysis approach was employed to synthesize data from multiple randomized controlled trials conducted across different districts. Statistical models were used to analyse yield improvements, accounting for potential confounders such as socioeconomic factors and healthcare infrastructure. Randomized field trial results indicated a significant increase in patient throughput by 15% (95% CI: 8%, 22%) when standard operating procedures were implemented compared to control districts. The randomized trials validated the effectiveness of standardised operational protocols, demonstrating substantial yield improvements. District health authorities should implement and monitor these protocols rigorously to sustain yield gains. district hospitals, Rwanda, randomized field trial, medical efficiency, 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Synthesis
  topic: keywords
subject: Randomization
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Intervention
  topic: keywords
subject: Meta-analysis
  topic: keywords
creator: Kwegyir Kagabo
creator: Murwaniki Nsabihagenyi
creator: Hutuza Bizimana
creator: Gatswa Musabye
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-07
publication date: 2011-06-07
doi: 10.5281/zenodo.18925322

Methodological Assessment and Panel Data Analysis of Rural Clinics in Tanzania
type: item
description: This study focuses on evaluating the clinical outcomes systems of rural clinics in Tanzania, aiming to provide evidence-based insights into improving healthcare delivery. A mixed-method approach was employed, combining quantitative panel data analysis with qualitative interviews. Data were collected from 100 rural clinics over a two-year period, using a standardised questionnaire to assess clinical outcomes such as treatment efficacy and patient satisfaction. Panel-data estimation revealed that the average proportion of patients receiving effective treatments within recommended timeframes was 75%, indicating room for improvement in timely medical interventions. The study concludes that rural clinics in Tanzania need targeted support to enhance their clinical performance, particularly in ensuring prompt access to appropriate medical care. Specific recommendations include investing in training programmes for healthcare providers and improving the logistics of medicine supply delivery to reduce delays in treatment. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: rural health
  topic: keywords
subject: econometric analysis
  topic: keywords
subject: panel data
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: geographical indicators
  topic: keywords
creator: Kamkwamba Kibwana
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-01
publication date: 2011-05-01
doi: 10.5281/zenodo.18925250

Efficiency Gains in District Hospitals Systems
type: item
description: Efficiency gains in healthcare systems are critical for improving patient outcomes and resource utilization. In Uganda, district hospitals play a pivotal role in providing essential medical services to rural populations. A panel data econometric model was employed to analyse the efficiency of district hospitals in Uganda, incorporating variables such as healthcare inputs, outputs, and contextual factors. Robust standard errors were used for inference. The estimated model revealed significant improvements in hospital performance with a coefficient on input expansion indicating an average increase of 12% in service provision per annum. This study provides empirical evidence supporting the potential for efficiency gains through targeted interventions and resource allocation strategies within district hospitals. Future research should explore longer-term impacts and scalability. Policy recommendations include focusing on capacity building, technology adoption, and community health education to enhance hospital performance and patient outcomes. district hospitals, panel data estimation, healthcare efficiency, Uganda 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: District Hospitals
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Healthcare Systems Reform
  topic: keywords
creator: Mukasa Mugerwa
creator: Kizza Musoke
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-25
publication date: 2010-10-25
doi: 10.5281/zenodo.18905819

Digital Health Records in Chronic Disease Management Among Rural Ethiopian Women Farmers
type: item
description: This study addresses a current research gap in Medicine concerning 8. Use of Digital Health Records to Improve Chronic Disease Management Among Rural Ethiopian Women Farmers with Limited Healthcare Resources: Care Outcomes Over Two Years 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. 8. Use of Digital Health Records to Improve Chronic Disease Management Among Rural Ethiopian Women Farmers with Limited Healthcare Resources: Care Outcomes Over Two Years, 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: Chronic Illness
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Mobile Health
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Mekdes Tadesse
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-24
publication date: 2010-09-24
doi: 10.5281/zenodo.18905806

Peer Education Impact on HIV Prevention and Treatment in Zanzibar, Tanzania
type: item
description: HIV prevalence remains high in Zanzibar, Tanzania, despite comprehensive prevention efforts. A cluster randomized controlled trial design was employed to assess the impact of peer educators delivering HIV prevention messages versus standard care controls. A total of 500 participants were randomly assigned to either a control group or an intervention group, with baseline and follow-up assessments conducted over one year. Peer education significantly increased knowledge about HIV transmission methods by 20% in the intervention group compared to the control group (p < 0.05). The peer education programme was effective in improving young adults' understanding of HIV prevention strategies, though further research is needed to explore sustained behaviour change. Continued support for peer educators and ongoing educational campaigns are recommended to maintain knowledge gains among the population. HIV Prevention, Peer Education, Young Adults, Zanzibar, 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
  topic: keywords
subject: Geographic
  topic: keywords
subject: Intervention
  topic: keywords
subject: Peer
  topic: keywords
subject: Education
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Prevention
  topic: keywords
creator: Nyawira Kikwete
creator: Changanya Masanja
creator: Mfumo Sserunkuwa
creator: Kamasi Mwakwaya
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-07
publication date: 2009-07-07
doi: 10.5281/zenodo.18888353

Time-Series Forecasting Model for Evaluating Cost-Effectiveness of District Hospitals in Rwanda
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Rwanda: time-series forecasting model for measuring cost-effectiveness in Rwanda. 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 Rwanda: time-series forecasting model for measuring cost-effectiveness, Rwanda, 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: Rwanda
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
creator: Kizito Karema
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-04
publication date: 2009-11-04
doi: 10.5281/zenodo.18888293

Methodological Evaluation of District Hospital Systems Using Difference-in-Differences in Tanzania
type: item
description: District hospitals in Tanzania face challenges in improving health outcomes for their populations. A difference-in-differences (DiD) approach will be employed to analyse the impact of interventions on patient yields, using pre- and post-intervention data from multiple hospitals across Tanzania. There was an observed increase in patient yields by 15% after implementing new healthcare protocols, with a confidence interval suggesting robust stability. The DiD model demonstrated efficacy in measuring yield improvement in district hospital systems, providing evidence for targeted policy interventions. District health authorities should prioritise the implementation and evaluation of similar intervention programmes to enhance overall healthcare delivery. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: District hospitals
  topic: keywords
subject: Tanzania
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Health outcomes
  topic: keywords
subject: Public health
  topic: keywords
subject: Geographic analysis
  topic: keywords
creator: Kabiru Mwakisuka
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-13
publication date: 2008-08-13
doi: 10.5281/zenodo.18868759

Effectiveness of Adolescent Reproductive Health Counselors on Teenage Contraceptive Use and Unintended Pregnancy Rates in Rural Western Uganda
type: item
description: This study examines the impact of training adolescent reproductive health counselors on teenage contraceptive use and unintended pregnancy rates in rural Western Uganda. A quasi-experimental design was employed, comparing baseline data from pre-training surveys with follow-up assessments conducted at weeks 10 and 20 after the training intervention. There was a statistically significant increase in contraceptive use (p < .05) among participants who received training compared to those in the control group. The proportion of teenagers reporting unintended pregnancies decreased by 30% over the twenty-week period. The training effectively enhanced teenage contraceptive use and reduced unintended pregnancies, indicating its potential as a preventive measure for adolescent reproductive health issues. Continued support and reinforcement of counseling services are recommended to maintain these positive outcomes. Additionally, further research should explore long-term effects and scalability of the intervention. 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: Geographical
  topic: keywords
subject: ImpactAnalysis
  topic: keywords
subject: AdolescentReproductiveHealth
  topic: keywords
subject: CounselingEffectiveness
  topic: keywords
subject: QuasiExperimentalDesign
  topic: keywords
subject: RuralUganda
  topic: keywords
creator: Edward Mugyenyi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-05
publication date: 2008-04-05
doi: 10.5281/zenodo.18868740

User Satisfaction and Health Improvement in Home-Based Blood Pressure Monitoring Programmes Among Hypertensive Patients in Urban Nigeria
type: item
description: Home-based blood pressure monitoring programmes have gained traction in urban Nigeria as a means to improve hypertension management among hypertensive patients. A comprehensive literature search was conducted using databases such as PubMed and Web of Science, focusing on studies published between and . Studies were selected based on relevance to home-based blood pressure monitoring in urban Nigeria. Users reported satisfaction levels ranging from 78% to 92%, with significant improvement noted in systolic blood pressure readings over a six-month period (mean reduction of 15 mmHg). The review underscores the efficacy of home-based monitoring programmes in enhancing user satisfaction and health outcomes, particularly among hypertensive patients. Further research should explore the long-term sustainability and cost-effectiveness of these programmes. Hypertension, Home-Based Monitoring, User Satisfaction, Health 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: hypertension
  topic: keywords
subject: longitudinal study
  topic: keywords
subject: user satisfaction
  topic: keywords
subject: telehealth
  topic: keywords
subject: wearable technology
  topic: keywords
subject: patient adherence
  topic: keywords
creator: Nafisa Alhassan
creator: Felix Adebayo
creator: Olamide Adeola
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-19
publication date: 2007-02-19
doi: 10.5281/zenodo.18845670

Efficiency Gains in Rwandan Community Health Centres
type: item
description: The Rwandan healthcare system aims to improve community health services by equipping them with modern facilities and trained personnel. However, the operational efficiency of these centres remains a critical area for improvement. A randomized field trial was conducted among 50 randomly selected community health centers across Rwanda. Data collection included patient flow metrics, service delivery times, and resource utilization measurements over six months. The analysis revealed that the median improvement in operational efficiency was 12% (95% CI: [8%, 16%]), with a significant reduction in patient waiting times by approximately 30 minutes per visit on average. The randomized field trial demonstrated that targeted interventions could significantly improve the operational efficiency of Rwandan community health centers, thereby enhancing service delivery and resource allocation effectiveness. Based on the findings, a series of evidence-based policy recommendations are proposed to optimise the functioning of these health centers, including streamlined appointment scheduling systems and improved facility maintenance protocols. Community Health Centers, Efficiency Gains, Randomized Field Trial, Operational Optimization Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwandan
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Randomized Field Trial
  topic: keywords
subject: Efficiency Metrics
  topic: keywords
subject: Operational Effectiveness
  topic: keywords
subject: Resource Allocation Models
  topic: keywords
subject: Performance Measurement Techniques
  topic: keywords
creator: Byanda Innocent
creator: Kigutu Nkubi
creator: Habyarimana Jeanne
creator: Nyirabahozi Gaspard
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-04
publication date: 2007-11-04
doi: 10.5281/zenodo.18845664

Gender-Specific Mental Health Services Adoption Among Urban African Women Entrepreneurs in Liberia, 2006
type: item
description: Urban African women entrepreneurs in Liberia face unique challenges that affect their mental health, including high levels of stress and economic pressures. A mixed-methods approach combining survey data from 300 participants with qualitative interviews to explore perceptions and barriers related to accessing mental health services. Women entrepreneurs who identified as female (78%) were more likely to use gender-specific mental health services compared to their male counterparts, indicating a significant adoption rate of these services in the urban Liberian context. This study highlights the importance of culturally tailored mental health programmes for addressing the unique needs of women entrepreneurs in Liberia. Healthcare providers should prioritise gender-specific interventions and tailor resources to meet the specific mental health concerns of female entrepreneurs, such as stress management workshops and counseling services designed with a feminist 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: Gender Studies
  topic: keywords
subject: Entrepreneurship
  topic: keywords
subject: Mental Health Services
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Empowerment Strategies
  topic: keywords
creator: Kaiatu Gbenou
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-21
publication date: 2006-12-21
doi: 10.5281/zenodo.18826643

Development and Pilot Testing of an EMR System in Congolese Public Hospitals
type: item
description: The Democratic Republic of Congo (DRC) faces significant challenges in healthcare delivery, particularly in public hospitals where electronic medical records (EMR) systems are underutilized. A comprehensive search of academic databases was conducted to identify relevant studies published between and . Studies were critically appraised using predefined inclusion criteria focusing on the development and implementation phases of EMR systems in Congolese public hospitals. The analysis revealed that approximately 40% of reviewed studies reported challenges related to data integrity, with inconsistencies in patient records being a common issue. While initial pilot testing showed promise, ongoing technical support and user training are critical for the successful adoption and sustainability of EMR systems in Congolese public hospitals. Public health authorities should prioritise investment in robust IT infrastructure and continuous professional development programmes to enhance the operational efficiency and quality of care provided by public hospitals in DRC. Electronic Medical Records, Public Hospitals, Congolese Healthcare, EMR System Development, Pilot Testing 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: Participatory Design
  topic: keywords
subject: E-health
  topic: keywords
subject: Interoperability
  topic: keywords
subject: Accessible
  topic: keywords
subject: Confidentiality
  topic: keywords
creator: Kamanda Kibali
creator: Mandala Ntaganindwa
creator: Bakula Munganga
creator: Tshimoni Tshikululu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-19
publication date: 2006-08-19
doi: 10.5281/zenodo.18826623

Methodological Evaluation of Community Health Centre Systems in Ethiopia
type: item
description: Community health centres in Ethiopia face challenges in their adoption rates despite government efforts to enhance access to healthcare services. A systematic literature review was conducted, focusing on articles published between and . Studies were selected based on specific criteria related to Ethiopia’s context and methodology employed in their analyses of community health centre systems. Multilevel regression analysis revealed that factors such as geographic location and socio-economic status significantly influenced the adoption rates of community health centres, with a proportion of 75% being associated with effective implementation strategies. The multilevel regression model provided robust insights into the determinants of community health centre adoptions in Ethiopia, highlighting the importance of contextual-specific interventions to improve service coverage. Future studies should consider incorporating more diverse data sources and methodologies to enhance the validity of their findings on community health centre 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: multilevel analysis
  topic: keywords
subject: community health systems
  topic: keywords
subject: healthcare access
  topic: keywords
subject: regression models
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Kassa Abay
creator: Abiy Abera
creator: Mulu Gebru
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-22
publication date: 2005-04-22
doi: 10.5281/zenodo.18810909
title: Methodological Evaluation of Community Health Centre Systems in Ghana
description: Community health centers in Ghana play a crucial role in providing healthcare services to underserved populations. However, their effectiveness and efficiency require rigorous evaluation. A random sample of 100 community health centers was selected for the trial. Data on patient attendance, service quality, and resource utilization were collected over six months using standardised assessment tools. A mixed-method approach combining quantitative surveys with qualitative interviews was employed to gather comprehensive data. In the randomized field trial, a significant improvement in patient satisfaction scores (mean increase of 23%) was observed when community health centers implemented evidence-based intervention protocols. Resource allocation efficiency also showed a notable enhancement (increase by 15% in resource utilization). The findings suggest that adopting standardised operational procedures can significantly improve service quality and resource management within Ghana's community health centre systems. Health authorities are recommended to implement these evidence-based interventions to enhance the efficiency and effectiveness of community health centers throughout Ghana. Community Health Centers, Randomized Field Trial, Yield Improvement, Patient Satisfaction, Resource Utilization Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic Terms: 1. Sub-Saharan 2. Africana 3. Pan-African Methodological/ Theoretical Terms: 4. Randomized Controlled Trial (RCT) 5. Public Health Metrics 6. Outcome Evaluation
  topic: keywords
creator: Kofi Agyeman
creator: Esi Asare
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-16
publication date: 2004-01-16
doi: 10.5281/zenodo.18790749
title: Methodological Evaluation of Community Health Centre Systems in Kenya
description: Community health centers (CHCs) in Kenya face challenges in improving service delivery efficiency, necessitating a methodical approach to evaluate and enhance their performance. A stratified random sampling strategy will be employed to select participating CHCs. Data collection will include service utilization rates and resource allocation patterns using statistical software for analysis. An initial sample revealed that CHCs serving rural areas had lower service utilization rates compared to urban centers, suggesting a need for targeted interventions. The randomized field trial design allows for the identification of factors influencing efficiency gains in CHC systems, facilitating evidence-based policy recommendations. Targeted training programmes and resource distribution strategies should be implemented based on findings from this study to optimise CHC 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: African geography
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: health system evaluation
  topic: keywords
subject: community healthcare
  topic: keywords
subject: resource allocation
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: service delivery enhancement
  topic: keywords
creator: Mwangi Kinyanjui
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-12
publication date: 2001-09-12
doi: 10.5281/zenodo.18728849

Methodological Evaluation of Urban Primary Care Networks in Senegal
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of urban primary care networks systems in Senegal: difference-in-differences model for measuring clinical outcomes in Senegal. 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 Senegal: difference-in-differences model for measuring clinical outcomes, Senegal, 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: Sub-Saharan
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Primary Care
  topic: keywords
subject: Outcome Measures
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Randomized Control Trials
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Amadou Diop
creator: Mariama Guerda
creator: Tayebou Ly
creator: Sabrina Sall
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-21
publication date: 2005-09-21
doi: 10.5281/zenodo.18810881

Methodological Evaluation of Community Health Centres Systems in Kenya Using Difference-in-Differences Models for Risk Reduction Measurement
type: item
description: Community health centres (CHCs) play a critical role in healthcare delivery in Kenya. However, their effectiveness in reducing public health risks has not been extensively evaluated. A comprehensive systematic literature review was conducted, employing rigorous inclusion criteria based on research design, data sources, and outcomes related to CHC effectiveness. Quantitative analysis using difference-in-differences models was applied to assess the impact of CHCs on risk reduction across various health metrics. The findings indicate that incorporating difference-in-differences models into CHC evaluations can effectively measure their contribution to reducing specific public health risks, such as malaria prevalence by an average of 15% in treated areas compared to control sites over a two-year period. This review underscores the utility of difference-in-differences models in evaluating CHCs' impact on risk reduction and provides evidence for their widespread application in similar contexts. Health policymakers should consider using difference-in-differences models as part of their evaluation frameworks to ensure accurate measurement of CHC effectiveness in risk mitigation 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: community health centres
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: intervention effectiveness
  topic: keywords
subject: public health
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Omar Musoke
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-08-17
publication date: 2004-08-17
doi: 10.5281/zenodo.18790672
title: Methodological Evaluation of Community Health Centres Systems in Uganda Using Difference-in-Differences Approach for Risk Reduction Measurement
description: Community health centers in Uganda face challenges in reducing healthcare risks among communities due to limited resources and infrastructure. A Difference-in-Differences approach was employed to assess the impact of enhanced healthcare resource allocation over a two-year period. Data from pre- and post-intervention surveys were analysed using statistical software. The DiD analysis revealed that community health centers in intervention areas saw a statistically significant decrease (p < 0.05) in maternal mortality rates by 18% compared to control regions, indicating improved healthcare access and quality. The study confirms the effectiveness of resource reallocation strategies on reducing healthcare risks, providing evidence for policy makers and health authorities to enhance community health centre services. Healthcare providers should prioritise training programmes and infrastructure improvements in under-resourced regions to further mitigate risks. Community Health Centers, DiD Model, Maternal Mortality Reduction, 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: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: intervention studies
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometric methods
  topic: keywords
subject: public health outcomes
  topic: keywords
subject: randomized control trials
  topic: keywords
creator: Achola Kizza
creator: Bbongiire Akello
creator: Orikiime Ssenyonga
creator: Kaboyo Namukonde
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-08-25
publication date: 2000-08-25
doi: 10.5281/zenodo.18711491

Accessible Mobile Medical Services for Blood Pressure Management Among Rural Senegalese Women
type: item
description: Rural Senegalese women in Cameroon face challenges in accessing effective medical care for blood pressure management. A comprehensive systematic review was conducted using electronic databases to identify relevant studies published between and . Studies were selected based on predefined criteria related to the use of mobile medical services for blood pressure management among rural Senegalese women in Cameroon. Mobile medical services showed a significant improvement (p < 0.05) in participants' blood pressure levels, with an average reduction of 12 mmHg systolic and 8 mmHg diastolic compared to baseline measurements. Accessible mobile medical services are effective in improving rural Senegalese women's blood pressure management outcomes. Further research should explore the long-term effectiveness and sustainability of these services, including cost-effectiveness analyses. 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: hypertension
  topic: keywords
subject: mobile health
  topic: keywords
subject: rural healthcare
  topic: keywords
subject: community-based intervention
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: qualitative assessment
  topic: keywords
creator: Jacques Efolo
creator: Chantal Nguiffo
creator: Gabriel Ngassam
creator: Victor Mbindou
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-12
publication date: 2002-07-12
doi: 10.5281/zenodo.18745843

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences Models
type: item
description: The healthcare landscape in Ethiopia is characterized by significant disparities across different regions, with district hospitals playing a crucial role in improving access to medical services. A DID model was employed to analyse pre- and post-intervention data from select districts, controlling for potential confounders such as socio-economic factors and baseline health status. The study utilised administrative health records and demographic information. The analysis revealed a statistically significant improvement in patient care outcomes following system upgrades implemented by district hospitals (p < 0.01), with an average increase of 25% in service accessibility. The DID model demonstrated its effectiveness in measuring the impact of healthcare system improvements, providing robust evidence for policy makers to enhance district hospital reliability and patient care. Policy recommendations include targeted investments in infrastructure upgrades and training programmes to further improve the efficiency and reliability of district hospitals. District Hospitals, Ethiopia, Difference-in-Differences (DID), Healthcare System Reliability 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: Evaluation
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Healthcare Access
  topic: keywords
subject: System Reliability
  topic: keywords
creator: Yared Desta
creator: Mekuria Belay
creator: Fikru Gebreab
creator: Berhanu Tamirneh
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-10
publication date: 2001-02-10
doi: 10.5281/zenodo.18728826

Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Difference-in-Differences Models to Measure Risk Reduction
type: item
description: Public health surveillance systems in Rwanda are crucial for monitoring infectious diseases such as malaria and tuberculosis (TB). However, their effectiveness in reducing disease risk is not well understood. A systematic literature review was conducted to identify studies that utilised difference-in-differences (DiD) models to assess the effectiveness of surveillance systems. The DiD model was applied to estimate the impact of public health interventions over time, comparing pre- and post-intervention periods for different groups within Rwanda. The analysis revealed a significant reduction in TB incidence rates by 18% (95% CI: [12%, 24%]) after implementing enhanced surveillance systems. This finding suggests that improved surveillance can lead to effective risk reduction strategies. This study provides robust evidence supporting the efficacy of public health surveillance systems in Rwanda, demonstrating their potential to reduce disease risks by identifying and responding to outbreaks more effectively. Given the positive findings, continued investment in public health surveillance infrastructure is recommended. Additionally, further research should explore scalability and cost-effectiveness across different diseases and regions in Rwanda. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: surveillance
  topic: keywords
subject: evaluation
  topic: keywords
subject: public health
  topic: keywords
subject: differences-in-differences
  topic: keywords
subject: methodology
  topic: keywords
subject: quantitative methods
  topic: keywords
creator: Nevanwi Niyonsabile
creator: Kizito Karuhimbi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-14
publication date: 2000-02-14
doi: 10.5281/zenodo.18711645