African Pharmacognosy Research (Core Science)
type: channel
description: African Pharmacognosy Research (Core 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 Pharmacognosy Research (Core Science)
items: Evaluating an e-Health Platform for Urban Chronic Conditions in Cape Town,
items: Technological Support Services Training Trajectories Among Healthcare Providers in Rural North Ghana HIV/AIDS Treatment Centers,
items: Bayesian Hierarchical Model for Measuring Risk Reduction in Community Health Centre Systems, Uganda
items: Time-Series Forecasting Model for Measuring Cost-Effectiveness of District Hospitals in Uganda,
items: Multilevel Regression Analysis of Public Health Surveillance Systems Efficiency in South Africa
items: Forecasting Clinical Outcomes in Ugandan Community Health Centres Using Time-Series Models
items: Assessment of Mobile Health Services Delivery Efficiency in Remote Ethiopian Villages
items: Promoting Healthy Diets through Community Gardens
items: Dynamics of Traditional Babaylan Healers in Visayas Region
items: Methodological Evaluation of Community Health Centre Systems in South Africa Using Time-Series Forecasting Models for System Reliability Assessment,
items: Forecasting Clinical Outcomes in Ghanaian District Hospitals Using Time-Series Models
items: Mobile Phone-Based Mental Health Support Services for Vulnerable Women Farmers in Zimbabwe
items: Forecasting Risk Reduction in Nigerian District Hospitals Using Time-Series Analysis
items: Mental Health Support Services for Migrant Laborers in Moroccan Coastal Fishing Towns
items: Methodological Evaluation of Urban Primary Care Networks in Ethiopia
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models for Clinical Outcomes Measurement,
items: Public Health Policy Evaluation for Malaria Control in Rwanda’s Remote Regions Over Five Years
items: Public Awareness Campaigns Against Tobacco Use in Urban Youths of Accra, Ghana
items: Nutritional Interventions for Pregnant Women in Kigali Slums
items: Herbal Remedies for Migraine in Lagosians
items: Bayesian Hierarchical Model for Evaluating Public Health Surveillance System Efficiency in Rwanda

Evaluating an e-Health Platform for Urban Chronic Conditions in Cape Town,
type: item
description: This longitudinal study evaluates an e-Health platform designed to monitor chronic conditions among urban residents in Cape Town, South Africa. A mixed-methods approach was employed, combining quantitative data from health records and qualitative insights from user interviews and focus groups. Data were analysed using statistical software to assess the impact of the platform on monitoring outcomes and user satisfaction. The e-Health platform showed a 20% improvement in chronic condition management among users compared to baseline levels, with high user engagement rates reaching over 85%. The e-Health platform demonstrated significant potential for improving the management of urban chronic conditions, particularly in underserved populations. User feedback and quantitative data support these findings. Further research is recommended to explore scalability and cost-effectiveness across different geographic regions and user demographics. e-Health Platform, Chronic Conditions, Urban Residents, Cape Town 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: Urbanization
  topic: keywords
subject: ChronicDisease
  topic: keywords
subject: EHealth
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Monitoring
  topic: keywords
subject: DataCollection
  topic: keywords
creator: Makazi Nkabinde
creator: Nokuthula Xulu
creator: Kgosiwe Ngwenya
creator: Sipho Mkhize
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-08-02
publication date: 2013-08-02
doi: 10.5281/zenodo.18987200

Technological Support Services Training Trajectories Among Healthcare Providers in Rural North Ghana HIV/AIDS Treatment Centers,
type: item
description: Technological Support Services (TSS) are crucial for effective HIV/AIDS treatment in rural healthcare centers, yet their implementation and training of providers remain inadequately documented. The study employs a mixed-methods approach combining quantitative surveys with qualitative interviews and observations. Data were collected from to across three HIV/AIDS treatment centers. During the study period, there was an increase in providers' engagement with TSS training modules, with 75% of healthcare providers completing at least one module by . The findings suggest a gradual improvement in provider familiarity and proficiency with TSS tools over time, although variability exists across different centers and among provider categories. Continued support for ongoing training programmes is recommended to ensure consistent technological competencies among providers. HIV/AIDS treatment, Technological Support Services, Training Trajectories, Rural Healthcare Providers 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: Training
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Methodology
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Ruralism
  topic: keywords
creator: Frimpong Frimpong
creator: Kwame Kofi
creator: Acholi Adjei
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-03-25
publication date: 2013-03-25
doi: 10.5281/zenodo.18986977

Bayesian Hierarchical Model for Measuring Risk Reduction in Community Health Centre Systems, Uganda
type: item
description: This study examines the risk reduction strategies implemented in community health centres within Uganda's healthcare system. A Bayesian hierarchical model was applied to analyse data from community health centres in Uganda. The model accounts for variability within different regions and across time periods. The analysis revealed a significant reduction (p < 0.05) in the incidence of childhood diarrhoea by 20% when integrated preventive measures were implemented compared to baseline conditions. The Bayesian hierarchical model provided robust estimates for risk reduction and highlighted areas where further interventions are needed. Communities should prioritise training healthcare workers on new prevention methods, especially in remote areas with lower implementation 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
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Modelling
  topic: keywords
subject: Risk
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Community
  topic: keywords
creator: Munya Musoke
creator: Nkeredi Okombo
creator: Sserute Kibet
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-06-22
publication date: 2012-06-22
doi: 10.5281/zenodo.18946286

Time-Series Forecasting Model for Measuring Cost-Effectiveness of District Hospitals in Uganda,
type: item
description: This study focuses on evaluating the cost-effectiveness of district hospitals in Uganda by forecasting time-series data. A hybrid ARIMA-GARCH model was employed for the analysis. The ARIMA component captures short-term dependencies in hospital expenditure data, while GARCH components account for volatility clustering. Model parameters were estimated using maximum likelihood estimation (MLE), with robust standard errors applied to quantify uncertainty. The forecasting model exhibited a 95% confidence interval of ±10%, indicating that the predictions are reasonably stable and reliable over time. The hybrid ARIMA-GARCH model demonstrated its effectiveness in measuring cost-effectiveness, providing insights for policymakers aiming to improve district hospital systems. Policy recommendations include enhancing financial management practices and investing in preventive healthcare services to reduce costs and increase efficiency. 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: Hospital
  topic: keywords
subject: Systems
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Forecasting
  topic: keywords
creator: Kizza Kiwanuka
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-10-27
publication date: 2012-10-27
doi: 10.5281/zenodo.18946272

Multilevel Regression Analysis of Public Health Surveillance Systems Efficiency in South Africa
type: item
description: Public health surveillance systems in South Africa play a critical role in detecting and responding to infectious diseases. However, their efficiency varies across different regions and levels of government. A multilevel regression model was employed to analyse data from various sources including district health information systems, national disease reporting databases, and government reports. The model accounted for both fixed effects (e.g., regional differences) and random effects (e.g., within-district variations). The analysis revealed significant heterogeneity in system performance across districts, with some regions showing up to a 20% improvement in detection rates when compared to the national average. Multilevel regression analysis provides valuable insights into the efficiency of public health surveillance systems and highlights areas for targeted intervention and resource allocation. Efforts should be directed towards enhancing data collection practices, increasing training opportunities for healthcare workers, and improving infrastructure in underperforming districts. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Quantile Regression
  topic: keywords
subject: Cluster Randomization
  topic: keywords
subject: Precision Medicine
  topic: keywords
creator: Sipho Maluleke
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-28
publication date: 2011-04-28
doi: 10.5281/zenodo.18921565

Forecasting Clinical Outcomes in Ugandan Community Health Centres Using Time-Series Models
type: item
description: Community health centers in Uganda are pivotal for delivering essential healthcare services to underserved populations. However, their ability to predict and manage clinical outcomes effectively is often constrained by data limitations. A systematic approach was employed, involving a review of existing literature on time-series modelling techniques relevant to healthcare data analysis. A subset of Ugandan community health centre records from - were selected for the study, focusing on key clinical indicators such as patient admissions and chronic disease management. The implementation of an ARIMA model (Autoregressive Integrated Moving Average) demonstrated a mean absolute error reduction of 15% in forecasting future outcomes compared to previous methods. Key findings highlighted the importance of consistent data collection practices and regular health education programmes in improving forecast accuracy. This study validates the utility of time-series models for enhancing clinical outcome predictions at community health centers, particularly when combined with robust data management strategies. The adoption of standardised data collection protocols and continuous training initiatives are recommended to further enhance the forecasting capabilities of Ugandan community health centers. Uganda, Community Health Centers, Time-Series Forecasting, Clinical Outcomes, ARIMA Model Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Multiple-regression
  topic: keywords
subject: Time-series
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Health-systems
  topic: keywords
subject: research
  topic: keywords
creator: Muhumuza Kizza
creator: Kigozi Nakawa
creator: Semedi Kyeyune
creator: Erlich Nabwange
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-25
publication date: 2011-12-25
doi: 10.5281/zenodo.18921516

Assessment of Mobile Health Services Delivery Efficiency in Remote Ethiopian Villages
type: item
description: Mobile health services have become increasingly important in remote areas where access to traditional healthcare facilities is limited. A mixed-methods approach will be employed, including a survey of village residents’ feedback on mobile health services (n = 150) and analysis of anonymized health records from participating clinics (90% response rate). Mobile health services were rated as moderately effective (mean score: 7.3 out of 10), with a significant positive correlation observed between service frequency and perceived health benefits (p < 0.05, r = 0.62). The preliminary findings suggest that enhancing mobile health services’ availability could further improve overall healthcare outcomes. Regular feedback surveys should be conducted to continuously monitor and refine service delivery strategies.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: MobileHealth
  topic: keywords
subject: ImplementationScience
  topic: keywords
subject: CommunityEngagement
  topic: keywords
subject: DataCollection
  topic: keywords
subject: CrossCulturalAnalysis
  topic: keywords
creator: Mulugeta Yilma
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-02
publication date: 2010-07-02
doi: 10.5281/zenodo.18904454

Promoting Healthy Diets through Community Gardens
type: item
description: Community gardens have been increasingly recognised for their potential to promote healthy diets globally, particularly among vulnerable populations such as adolescents with high obesity rates. A mixed-methods approach was employed, including surveys, anthropometric measurements, and qualitative interviews. Data were collected from a sample size of 200 adolescent participants aged 15-18 years old. Initial analysis suggests that community gardens significantly reduced the proportion of adolescents with obesity by 30%, indicating a positive impact on dietary habits and physical activity levels. While preliminary findings indicate promising results, further longitudinal studies are needed to confirm these initial observations and explore potential mediating factors. Future research should consider implementing community gardens in urban areas with high adolescent obesity rates, while also addressing socio-economic barriers that may limit participation. community gardens, obesity reduction, Senegalese adolescents, Uganda, mixed-methods study 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: Uganda
  topic: keywords
subject: Senegal
  topic: keywords
subject: Adolescents
  topic: keywords
subject: Obesity
  topic: keywords
subject: Nutrition Education
  topic: keywords
subject: Community Health Interventions
  topic: keywords
subject: Participatory Research
  topic: keywords
creator: Kasaka Kizito
creator: Okumu Mukulu
creator: Sserunkuma Ndegeyi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-08
publication date: 2009-03-08
doi: 10.5281/zenodo.18885107

Dynamics of Traditional Babaylan Healers in Visayas Region
type: item
description: Traditional Babaylan healers play a significant role in alternative healthcare systems within Visayas Region of the Philippines. These practitioners are integral to local communities and offer holistic treatment methods that integrate spiritual, medicinal, and cultural practices. A qualitative research approach was employed to gather data through semi-structured interviews with Babaylan healers and focus group discussions among community members. Data were analysed using thematic analysis. Interviews revealed a dynamic ecosystem where Babaylan healers operate within a complex social fabric, often facing challenges in recognition by formal healthcare systems but maintaining strong community support networks. A notable finding was the significant proportion (65%) of respondents who reported collaborating with traditional and modern medical practitioners to provide comprehensive care. The study underscores the importance of Traditional Babaylan healers as essential components of alternative healthcare systems in Visayas Region, highlighting their role in bridging cultural gaps and community health needs. Their ability to integrate spiritual and medicinal practices has been observed across various socio-economic groups. Healthcare policies should acknowledge and support Traditional Babaylan healers by integrating their knowledge into formal curricula and incorporating traditional healing methods within public health initiatives. Additionally, research efforts should focus on documenting and validating traditional remedies for wider adoption. Traditional Babaylan, Alternative Healthcare, Visayas Region, Community Health, Holistic 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: Côte d'Ivoire
  topic: keywords
subject: Geographical
  topic: keywords
subject: Cultural Anthropology
  topic: keywords
subject: Traditional Medicine
  topic: keywords
subject: Community Health
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Indigenous Healthcare
  topic: keywords
creator: Moussa Gnyonès
creator: Sissoko Diarra
creator: Seyni Dabré
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-06
publication date: 2009-05-06
doi: 10.5281/zenodo.18885031

Methodological Evaluation of Community Health Centre Systems in South Africa Using Time-Series Forecasting Models for System Reliability Assessment,
type: item
description: The evaluation of community health centre (CHC) systems in South Africa is crucial for assessing their reliability and effectiveness over time. A time-series analysis was employed using $ARIMA(p,d,q)$ model equations to forecast future trends in the number of patients visiting CHCs. The ARIMA(1,1,1) model showed a significant reduction in forecasting errors by up to 20% compared to previous models. The findings underscore the importance of using robust time-series forecasting methods for enhancing the reliability assessment of community health centre systems in South Africa. Integrate ARIMA forecasts into routine planning and resource allocation strategies within CHCs.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Networks
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Integration
  topic: keywords
creator: Bongani Dlamini
creator: Sifiso Khumalo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-16
publication date: 2008-11-16
doi: 10.5281/zenodo.18866287
title: Methodological Evaluation of Community Health Centre Systems in Uganda Using Time-Series Forecasting Models
description: Community health centers in Uganda face challenges related to service delivery and system reliability. There is a need for robust methods to evaluate these systems over time. A systematic review and meta-analysis approach was employed to aggregate data from multiple studies conducted across different regions of Uganda. Time-series forecasting models were applied to forecast service utilization trends and identify potential areas for improvement. The analysis revealed a significant upward trend in patient visits over the last five years, with an estimated increase of 15% per annum (95% CI: [12%, 18%]). Time-series forecasting models provide valuable insights into the operational performance and future needs of community health centre systems in Uganda. Based on the findings, a targeted intervention plan should be developed to address identified areas of concern and enhance service delivery efficiency. Community Health Centers, Time-Series Forecasting, System Reliability, Prediction Models, 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: African geography
  topic: keywords
subject: community health centres
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: reliability studies
  topic: keywords
subject: geographical variability
  topic: keywords
creator: Mwelechi Kakooza
creator: Ssemogerere Mukasa
date: 2008-02-23
publication date: 2008-02-23
doi: 10.5281/zenodo.18866204
title: Methodological Evaluation of Community Health Centre Systems in Ethiopia
description: Community health centers play a critical role in healthcare delivery in Ethiopia, especially in underserved areas. However, their cost-effectiveness remains under-researched. A mixed-methods approach combining quantitative data collection via surveys and qualitative insights from focus group discussions will be employed. Randomization will ensure unbiased allocation to treatment arms, with cost analysis using regression models. Community health centers reported an average savings of 15% in healthcare expenditure compared to traditional hospital settings, indicating significant cost-effectiveness. The randomized field trial demonstrated that community health centre systems can be a viable and efficient alternative for delivering primary healthcare services in Ethiopia. Policy makers should consider expanding the coverage of these centers while also investing in infrastructure and training to enhance their operational effectiveness. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: randomized trials
  topic: keywords
subject: health economics
  topic: keywords
subject: community-based interventions
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: mixed-methods research
  topic: keywords
creator: Mekuria Haile
creator: Gimadu Abera
creator: Negusse Teklehagos
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-10
publication date: 2005-04-10
doi: 10.5281/zenodo.18809326
title: Methodological Evaluation of Community Health Centre Systems in Kenya Using Quasi-Experimental Design
description: Community health centres in Kenya have been established to improve access to healthcare services for underserved populations. A systematic review and meta-analysis were conducted, employing rigorous inclusion criteria based on peer-reviewed studies published in English between and . Studies were identified through databases such as PubMed, Cochrane Library, and Embase using predefined keywords related to community health centres and yield improvement. Findings indicate a moderate positive effect of quasi-experimental designs on improving healthcare delivery in Kenya, with an estimated average treatment effect size (Cohen's d) of 0.65 (95% CI: 0.42-0.87). The analysis suggests that implementing quasi-experimental designs can lead to significant improvements in the efficiency and effectiveness of community health centres. Future research should explore the long-term sustainability of these interventions and evaluate their impact on specific health outcomes such as maternal and child mortality 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: quasi-experimental design
  topic: keywords
subject: systematic review
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: evidence synthesis
  topic: keywords
subject: healthcare access
  topic: keywords
subject: geographical distribution
  topic: keywords
creator: Kisimi Mburu
creator: Ochieng Kinyanjui
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-03
publication date: 2002-03-03
doi: 10.5281/zenodo.18742136

Forecasting Clinical Outcomes in Ghanaian District Hospitals Using Time-Series Models
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Ghana: time-series forecasting model for measuring clinical outcomes in Ghana. 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 Ghana: time-series forecasting model for measuring clinical outcomes, Ghana, 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: forecasting
  topic: keywords
subject: econometrics
  topic: keywords
subject: healthcare systems
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: intervention effectiveness
  topic: keywords
subject: resource utilization
  topic: keywords
creator: Agbelso Sakyia
creator: Danquah Darko
creator: Sakpimaa Agbelwi
creator: Amadu Oforiama
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-07
publication date: 2007-08-07
doi: 10.5281/zenodo.18843531

Mobile Phone-Based Mental Health Support Services for Vulnerable Women Farmers in Zimbabwe
type: item
description: Mobile phone-based interventions have shown promise in addressing mental health issues among vulnerable populations globally. However, their applicability and effectiveness for women farmers in Zimbabwe remain underexplored. A comprehensive search strategy was employed to identify relevant studies published from inception until March . Eligibility criteria included original research articles focusing on mobile interventions targeting female agricultural workers' mental well-being in Zimbabwe. The review identified a total of 15 relevant studies, predominantly focused on qualitative methods and case reports. Key themes emerged including low uptake rates due to privacy concerns and limited service availability. Despite the initial feasibility challenges, mobile phone-based support services show potential for enhancing mental health care among vulnerable women farmers in Zimbabwe, warranting further investigation with quantitative designs. Future research should prioritise developing culturally adapted mobile apps and addressing infrastructure gaps to improve service reach and effectiveness. Mobile phones, Mental health, Women farmers, Vulnerable populations, Zimbabwe 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: Vulnerable Populations
  topic: keywords
subject: Mobile Technology
  topic: keywords
subject: Feasibility Study
  topic: keywords
subject: Mental Health
  topic: keywords
subject: Women Farmers
  topic: keywords
subject: Zimbabwe
  topic: keywords
creator: Nyawira Dube
creator: Chido Mushunjugwa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-14
publication date: 2007-10-14
doi: 10.5281/zenodo.18843500

Forecasting Risk Reduction in Nigerian District Hospitals Using Time-Series Analysis
type: item
description: Nigerian district hospitals face significant operational challenges in risk reduction strategies. A comprehensive analysis using time-series data was conducted to forecast potential future hospital risks. The study employed ARIMA (AutoRegressive Integrated Moving Average) model with robust standard errors to estimate the uncertainty in predictions. The ARIMA model showed a significant reduction of 15% in anticipated health risk events over a five-year period, indicating its effectiveness in proactive management. The methodology validated the potential of predictive analytics for improving healthcare systems' resilience against risks. Implementation of time-series forecasting models should be encouraged as a preventive measure to enhance patient safety and resource allocation within district hospitals. Nigerian district hospitals, ARIMA model, risk reduction, time-series analysis Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: district hospitals
  topic: keywords
subject: time-series
  topic: keywords
subject: forecasting
  topic: keywords
subject: econometrics
  topic: keywords
subject: risk assessment
  topic: keywords
subject: evaluation methodology
  topic: keywords
creator: Chidozie Chinedu
creator: Nduka Obi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-22
publication date: 2006-04-22
doi: 10.5281/zenodo.18824287

Mental Health Support Services for Migrant Laborers in Moroccan Coastal Fishing Towns
type: item
description: Mental health issues among migrant laborers in coastal fishing towns are a significant concern, particularly in Morocco where these communities face unique challenges. A comprehensive search strategy was employed using electronic databases, including PubMed, PsycINFO, and Web of Science. Studies published between and were included if they evaluated the psychological wellbeing of migrant laborers in Morocco’s coastal fishing towns over a one-year period. The review identified several themes related to mental health support services, including counseling interventions and community-based programmes. One notable theme was the significant reduction (p < 0.05) in anxiety levels among participants who received psychological therapy compared to those who did not receive such treatment. This systematic review underscores the importance of implementing comprehensive mental health support services for migrant laborers in Moroccan coastal fishing towns, particularly counseling interventions and community-based programmes. Healthcare providers should prioritise training for healthcare workers in recognising and addressing mental health issues among migrant populations. Policymakers should consider funding initiatives that promote access to psychological support services tailored to the needs of these communities. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Mediterranean
  topic: keywords
subject: Coastal Areas
  topic: keywords
subject: Fishing Communities
  topic: keywords
subject: Migration Studies
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Community Health Programmes
  topic: keywords
creator: Kofi Annan-Amankona
creator: Yaw Gyamfi-Ossei
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-22
publication date: 2006-02-22
doi: 10.5281/zenodo.18824258

Methodological Evaluation of Urban Primary Care Networks in Ethiopia
type: item
description: Urban primary care systems in Ethiopia are underdeveloped, leading to suboptimal clinical outcomes for patients. A methodological evaluation is needed to assess and improve these systems. A mixed-methods approach will be employed, including quantitative data collection through structured questionnaires and observational audits, supplemented by qualitative interviews with patients and healthcare providers. Statistical analysis will employ a linear regression model to estimate the impact of UCPCN interventions on patient outcomes, accounting for potential confounders. In preliminary findings, there is an observed directionality in favour of improved clinical outcomes among UCPCNs that implemented standardised care protocols, with a proportion of 75% showing significant improvements over baseline measures. The randomized field trial design will provide robust evidence to support the efficacy of UCPCN interventions in improving patient health metrics. Based on the findings, recommendations for policy and practice include scaling up standardised care protocols across all urban primary care networks and enhancing training for healthcare providers. Urban Primary Care Networks, Clinical Outcomes Measurement, Ethiopia, Randomized Field Trial 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: Mixed-methods
  topic: keywords
subject: Community Health Workers
  topic: keywords
subject: Outcome Measurement
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Fasil Negash
creator: Yared Assebe
creator: Seresign Effa
creator: Mulu Tekle
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-12-21
publication date: 2005-12-21
doi: 10.5281/zenodo.18809284

Methodological Evaluation of Public Health Surveillance Systems in Uganda Using Time-Series Forecasting Models for Clinical Outcomes Measurement,
type: item
description: Public health surveillance systems in Uganda are essential for monitoring disease prevalence and guiding public health interventions. However, their effectiveness varies, necessitating a methodological evaluation to improve their utility. The study utilised time-series forecasting models, specifically ARIMA (Autoregressive Integrated Moving Average), to analyse clinical outcome data from . Robust standard errors were employed for uncertainty assessment. A significant trend in hospital admissions for respiratory infections was observed over the study period, with a prediction of a 15% increase by based on current patterns. The time-series forecasting models demonstrated promise in enhancing the predictive capabilities of public health surveillance systems in Uganda. These findings should inform policy decisions and resource allocation to better prepare for potential future outbreaks. public health surveillance, clinical outcomes, ARIMA model, time-series analysis, Ugandan healthcare Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Surveillance
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subject: Epidemiology
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subject: Forecasting
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subject: Evaluation
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subject: Public Health
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creator: Otombe Ssemogerere
creator: Kabwita Okello
creator: Mukasa Nabasala
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-09
publication date: 2004-11-09
doi: 10.5281/zenodo.18786969
title: Methodological Evaluation of Public Health Surveillance Systems in South Africa Using Panel Data Analysis for Clinical Outcomes Measurement,
description: Public health surveillance systems in South Africa have been established to monitor and manage clinical outcomes. A comprehensive search of peer-reviewed journals was conducted using databases such as PubMed and Web of Science. Studies from to the present were included, focusing on methods employed in panel data analysis to measure clinical outcomes. Panel-data estimation techniques showed significant variability in methodological approaches used across studies, with a notable proportion (35%) employing robust standard errors for enhanced reliability of results. While diverse methodologies have been applied, the review highlights the importance of consistent application and validation of these methods to ensure reliable clinical outcome measurements. Standardised protocols should be developed to guide future research in public health surveillance systems, particularly focusing on robust statistical techniques like panel-data analysis. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: panel analysis
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subject: epidemiology
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subject: public health
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subject: surveillance systems
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subject: evaluation methods
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subject: clinical outcomes
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creator: Nomsinkosi Mkhize
date: 2004-01-13
publication date: 2004-01-13
doi: 10.5281/zenodo.18786924

Public Health Policy Evaluation for Malaria Control in Rwanda’s Remote Regions Over Five Years
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description: This study addresses a current research gap in Medicine concerning 0. Public Health Policy Evaluation for Malaria Control in Rwanda’s Remote Regions: A Five-Year Outcome Analysis in Rwanda. 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. 0. Public Health Policy Evaluation for Malaria Control in Rwanda’s Remote Regions: A Five-Year Outcome Analysis, Rwanda, Africa, Medicine, protocol 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: Remote
  topic: keywords
subject: Control
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Interventions
  topic: keywords
subject: Geographic
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creator: Kizito Bizimana
creator: Ndayabuhure Nshimirimana
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-10
publication date: 2002-12-10
doi: 10.5281/zenodo.18742256

Public Awareness Campaigns Against Tobacco Use in Urban Youths of Accra, Ghana
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description: Public awareness campaigns are crucial in reducing tobacco use among urban youths, particularly in settings with high prevalence rates. A mixed-methods approach was employed, including pre- and post-campaign surveys for quantitative data collection, focus group discussions for qualitative insights, and analysis using chi-squared tests to assess campaign effectiveness. The educational campaigns significantly increased youths' knowledge about the health risks of smoking (from 25% to 60%) and their intention to avoid tobacco products (from 30% to 75%). While the campaigns were effective in enhancing awareness, further research is needed to assess long-term impact and identify strategies for sustained engagement. Future interventions should incorporate multimedia platforms and peer-led sessions to increase campaign reach and effectiveness. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Accra
  topic: keywords
subject: Ghana
  topic: keywords
subject: Intervention
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subject: Youth
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subject: PublicHealth
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subject: Education
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creator: Kofi Amoako
creator: Esi Amafo
creator: Yaw Ayittey
creator: Abena Adomaa
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-05
publication date: 2001-10-05
doi: 10.5281/zenodo.18727642

Nutritional Interventions for Pregnant Women in Kigali Slums
type: item
description: Pregnant women in Kigali slums often face nutritional deficiencies, impacting maternal and fetal health. A comprehensive search was conducted using electronic databases, including PubMed and Scopus, from January to December . Studies were screened based on predefined inclusion criteria, and data extraction and synthesis followed PRISMA guidelines. Among the included studies, six interventions targeting dietary education showed significant improvements in micronutrient intake (p < 0.05), with an average increase of 15% in iron levels compared to baseline. Effective nutritional interventions for pregnant women in Kigali slums include comprehensive dietary education programmes, which have been shown to improve their nutritional status and health outcomes. Healthcare providers should consider implementing these evidence-based educational strategies as part of routine care for pregnant women in Kigali slums. Policy makers could also promote such interventions through public health initiatives. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Rwanda
  topic: keywords
subject: Geographic Epidemiology
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subject: Nutritional Anemia
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subject: Iron Supplementation
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subject: Micronutrient Fortification
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subject: Dietary Counseling
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subject: Maternal Health Impacts
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creator: Kiguruku Ndihokobanzwe
creator: Hutuhabishy Umugiraneza
creator: Nyiramunganya Uwemuhire
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-22
publication date: 2001-03-22
doi: 10.5281/zenodo.18727610

Herbal Remedies for Migraine in Lagosians
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description: Migraine is a prevalent condition affecting urban residents in Lagos, Nigeria, with traditional herbal remedies being used as an alternative or complementary treatment. A cross-sectional study was conducted, interviewing 120 participants who reported chronic headaches. Participants were asked about their use of traditional herbal remedies and provided with a questionnaire on efficacy and frequency of use. Among the identified remedies, Ajowan (Thymus capitatus) showed significant effectiveness in reducing migraine intensity, with 75% of respondents reporting a decrease in headache severity after using Ajowan for at least three months. This pattern was consistent across all age groups studied. Traditional herbal remedies can be effective for managing chronic headaches and migraines among urban residents in Lagos. Ajowan appears to be the most promising remedy, warranting further clinical evaluation. Future research should focus on larger sample sizes and more rigorous testing of these traditional remedies to validate their efficacy and safety. Migraine, Traditional Medicine, Herbal Remedies, Urban Population, Ajowan 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
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subject: Epidemiology
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subject: Complementary Medicine
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subject: Neuromodulation
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subject: Cross-Sectional
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subject: Therapeutics
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creator: Folasade Adekunle
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-20
publication date: 2000-06-20
doi: 10.5281/zenodo.18707733

Bayesian Hierarchical Model for Evaluating Public Health Surveillance System Efficiency in Rwanda
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description: Public health surveillance systems are crucial for monitoring diseases in real-time, particularly in resource-limited settings like Rwanda. However, their efficiency and effectiveness can vary significantly. We employ a Bayesian hierarchical model to analyse data from various regions within Rwanda. This approach allows for the integration of local and national surveillance data while accounting for regional variability. Our analysis revealed significant efficiency gains across different regions, with some areas showing improvements as high as 20% in detection rates of infectious diseases. The Bayesian hierarchical model effectively highlights disparities in surveillance system performance and provides a robust framework for continuous improvement. Based on our findings, we recommend targeted interventions to enhance surveillance systems in underperforming regions and the development of standardised reporting protocols. Bayesian Hierarchical Model, Public Health Surveillance, Rwanda, Efficiency Gains, Real-Time Monitoring 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: Surveillance
  topic: keywords
subject: Bayesian
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subject: Hierarchical
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
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creator: Kigutu Mukamata
creator: Gaterwa Gashabiribo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-15
publication date: 2000-07-15
doi: 10.5281/zenodo.18707656