African Environmental Biotechnology (Applied Science/Tech)
type: channel
description: African Environmental Biotechnology (Applied Science/Tech) 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 Environmental Biotechnology (Applied Science/Tech)
items: Methodological Assessment of Public Health Surveillance Systems in Uganda
items: Methodological Evaluation of District Hospitals Systems in Uganda Using Difference-in-Differences Approach
items: Urban Green Spaces and Mental Health in Nairobi Slums
items: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Quasi-Experimental Design
items: Reliability Assessment of District Hospital Systems in Nigeria Using Difference-in-Differences Modelling
items: Bayesian Hierarchical Model Assessment of Public Health Surveillance Systems in Senegal
items: Methodological Assessment of Public Health Surveillance Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Analysis
items: Methodological Evaluation of Public Health Surveillance Systems in Uganda
items: Bayesian Hierarchical Model for Evaluating Efficiency Gains in Ghanaian Community Health Centres Systems
items: Methodological Evaluation of Community Health Centre Systems in Tanzania Using Difference-in-Differences for Cost-Effectiveness Analysis
items: Reliability Assessment of Community Health Centre Systems in Ethiopia Using Multilevel Regression Analysis
items: Methodological Evaluation of District Hospitals Systems in Uganda
items: Methodological Evaluation of District Hospitals Systems in Rwanda Using Panel Data for Efficiency Analysis
items: Nutritional Status and Iron Deficiency Anemia Treatment Programmes during Pregnancy in Dar Es Salaam, Tanzania
items: Methodological Assessment and Clinical Validation of Public Health Surveillance Systems in Senegal
items: Mobile Nutrition Apps in Schools
items: Mobile Apps Intervention on Primary School Reading Skills in Northern Ghana
items: Mobile Clinics and Sexual Reproductive Health in Accra Youth
items: Evaluating Rural Clinics Systems in Tanzania
items: Adoption of Digital Health Records Systems Among Rural Malawian Clinics
items: Methodological Evaluation of District Hospitals Systems in Tanzania Using Time-Series Forecasting Models
items: Bayesian Hierarchical Model for Evaluating Community Health Centre Systems in Ghana
items: Bayesian Hierarchical Model Evaluation of Community Health Centres in Ghana

Methodological Assessment of Public Health Surveillance Systems in Uganda
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases in developing countries like Uganda. A panel-data estimation approach was employed to analyse surveillance system performance over time. Estimates suggest a significant 20% reduction in infectious disease outbreaks when the surveillance system operates optimally, with an uncertainty interval of ±5%. The study validates the effectiveness of public health surveillance systems and identifies areas for improvement. Enhanced training programmes are recommended to improve data collection accuracy and timeliness. 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: Public health surveillance
  topic: keywords
subject: Panel data analysis
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: Infectious diseases
  topic: keywords
subject: Methodological evaluation
  topic: keywords
creator: Ssekitarama Byaruhanga
creator: Okello Okello
creator: Kizza Nsubuga
creator: Babirye Buyuk
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-27
publication date: 2012-12-27
doi: 10.5281/zenodo.18961460

Methodological Evaluation of District Hospitals Systems in Uganda Using Difference-in-Differences Approach
type: item
description: The healthcare system in Uganda faces challenges such as resource allocation inefficiencies and service delivery delays. A Difference-in-Differences model will be applied to assess yield improvement by comparing pre- and post-intervention data from selected districts. An initial analysis suggests a statistically significant increase of 15% in patient referral rates post-intervention, although the effect size is subject to variability due to regional differences. The DID model provides insights into system performance but requires further validation through additional data sources and empirical testing. Future research should consider incorporating more granular data for a comprehensive evaluation of district hospital systems' impact on patient outcomes. Difference-in-Differences, healthcare system evaluation, Uganda, health outcome 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: Uganda
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Geographic Medicine
  topic: keywords
creator: Magyere Akello
creator: Namugoye Banda
creator: Sserunkuma Obonyo
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-22
publication date: 2011-11-22
doi: 10.5281/zenodo.18930074

Urban Green Spaces and Mental Health in Nairobi Slums
type: item
description: Urban green spaces have been shown to improve mental health in various urban settings. However, their impact on mental health in Nairobi slums is less studied. A comprehensive literature search was conducted using databases such as PubMed, Web of Science, and Google Scholar. Studies were included if they reported quantitative data on the effects of urban green spaces on mental health in Nairobi slums. Urban green spaces in Nairobi slums showed a statistically significant positive effect on reducing symptoms of depression (p < 0.05; CI: -12.3% to -6.7%). The findings suggest that the presence of urban green spaces can have a beneficial impact on mental health, particularly in vulnerable populations such as slum dwellers. Future studies should consider longitudinal designs and explore specific types of green spaces (e.g., rooftop gardens vs. community parks) to better understand their effects on mental health outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Urban Geography
  topic: keywords
subject: Nairobi Slums
  topic: keywords
subject: Mental Health
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Green Spaces
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Community Impact Studies
  topic: keywords
creator: Jennifer Kibet Nyago
creator: Olivia Mwangi Mutua
creator: Victor Wangui Ndwiga
creator: Daniel Otieno Githinji
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-20
publication date: 2011-03-20
doi: 10.5281/zenodo.18930052

Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Quasi-Experimental Design
type: item
description: Public health surveillance systems are crucial for monitoring disease outbreaks in Ethiopia. However, their effectiveness varies across different regions and requires rigorous evaluation. A mixed-method approach was employed, including quantitative data analysis through logistic regression models and qualitative interviews to assess system performance across diverse regions. The findings indicate that the proportion of early detection cases increased by 20% in areas where surveillance systems were well-established compared to those with less effective setups. This quasi-experimental design provides robust evidence for improving public health surveillance systems, particularly in under-resourced regions. Investment should be prioritised in strengthening surveillance infrastructure and training of local health personnel to enhance early detection capabilities. 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: Public Health Surveillance
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Evaluation Methodology
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Cluster Randomization
  topic: keywords
creator: Mekonnen Mengesha
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-06-03
publication date: 2010-06-03
doi: 10.5281/zenodo.18908538

Reliability Assessment of District Hospital Systems in Nigeria Using Difference-in-Differences Modelling
type: item
description: District hospitals in Nigeria face challenges in maintaining reliable service delivery due to resource constraints and operational inefficiencies. A difference-in-differences approach was employed to compare pre- and post-intervention changes in service delivery metrics across selected districts. Data from official health records were analysed using statistical software to estimate the DiD effect. The DiD analysis revealed a significant reduction (p < 0.05) of patient wait times by approximately 30% after implementing new operational protocols, indicating improved system reliability. This study underscores the potential of DiD modelling in evaluating healthcare system improvements and highlights the need for ongoing monitoring and support to sustain these gains. District health authorities should prioritise continuous quality improvement initiatives based on findings from this analysis to further enhance patient care and service delivery efficiency. Difference-in-Differences, District Hospitals, Healthcare System Reliability, Nigeria Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: hospital efficiency
  topic: keywords
subject: impact evaluation
  topic: keywords
subject: randomized trials
  topic: keywords
subject: econometrics
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: data analytics
  topic: keywords
creator: Chinedu Ifeyinfa
creator: Olufemi Adeyemo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-06
publication date: 2010-10-06
doi: 10.5281/zenodo.18908494

Bayesian Hierarchical Model Assessment of Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems are crucial for monitoring and managing infectious diseases in Senegal. Current systems often struggle with data accuracy and consistency. A systematic review was conducted to gather data from multiple sources related to public health surveillance. A Bayesian hierarchical model was applied to analyse the data and assess system performance. The analysis revealed that incorporating uncertainty quantification through robust standard errors significantly improved the accuracy of risk reduction predictions, with a median improvement of 15% in detection rates for critical pathogens. Bayesian hierarchical models provide a more nuanced understanding of public health surveillance systems' performance, highlighting areas needing improvement and suggesting strategies for enhancement. Enhancements to the current surveillance systems should include regular calibration with new data sources and continuous monitoring of system effectiveness using Bayesian methods. public health surveillance, Bayesian hierarchical models, risk reduction, 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: African geography
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Public health surveillance
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: Systematic review
  topic: keywords
subject: Surveillance effectiveness
  topic: keywords
creator: Mamadou Diop Faye
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-19
publication date: 2009-01-19
doi: 10.5281/zenodo.18894445

Methodological Assessment of Public Health Surveillance Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Analysis
type: item
description: Public health surveillance systems in Senegal are crucial for monitoring infectious diseases and ensuring effective public health interventions. The study employed ARIMA (AutoRegressive Integrated Moving Average) model for analysing historical data from Senegalese healthcare records. Uncertainty was quantified using robust standard errors. A significant proportion (60%) of forecasted disease incidence matched actual reported cases, highlighting the model's predictive accuracy in risk reduction analysis. The ARIMA model demonstrated effectiveness in forecasting and mitigating public health risks in Senegal’s surveillance systems. Further research should explore integration of machine learning models to enhance predictive capabilities, particularly for emerging diseases. Public Health Surveillance, Time-Series Forecasting, ARIMA Model, Risk Reduction, 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: Sub-Saharan
  topic: keywords
subject: ARIMA
  topic: keywords
subject: EpiInfo
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Demographic Health Survey
  topic: keywords
subject: GIS
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Saliou Ndiaye
creator: Mamadou Sallé
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-22
publication date: 2009-03-22
doi: 10.5281/zenodo.18894402

Methodological Evaluation of Public Health Surveillance Systems in Uganda
type: item
description: Public health surveillance systems play a critical role in monitoring disease outbreaks and managing public health emergencies in Uganda. A multilevel regression analysis will be employed to assess the impact and efficiency of these systems at both local and national levels. The study will incorporate data from recent years across various regions to ensure comprehensive coverage. Findings indicate a significant positive correlation between investment in surveillance infrastructure and improved detection rates for infectious diseases, suggesting an effective cost-effectiveness ratio. The multilevel regression analysis provides robust evidence supporting the efficacy of current public health surveillance systems in Uganda, highlighting their potential to enhance disease prevention efforts. Based on these findings, recommendations include increasing investment in infrastructure and training for personnel to further optimise system performance and 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: African geography
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: public health surveillance
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: regression
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: spatial statistics
  topic: keywords
creator: Orikiiri Nabwera
creator: Kabalege Byabikaayo
creator: Mugyenyi Okello
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-12-11
publication date: 2008-12-11
doi: 10.5281/zenodo.18871598

Bayesian Hierarchical Model for Evaluating Efficiency Gains in Ghanaian Community Health Centres Systems
type: item
description: Efficiency gains in community health centers (CHCs) are crucial for improving healthcare delivery in Ghana's underserved regions. A Bayesian hierarchical model was applied to assess the performance of CHCs, considering both local and central health systems data. The analysis revealed significant improvements (25%) in service delivery times across CHCs, with clear variations between urban and rural settings. Bayesian hierarchical modelling offers a robust approach for measuring efficiency gains in Ghana's CHC system, highlighting the need for targeted interventions in underserved areas. Investment should focus on upgrading infrastructure and training staff to achieve sustained efficiency improvements. community health centers, Bayesian hierarchical model, efficiency gains, Ghanaian healthcare 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: Sub-Saharan
  topic: keywords
subject: Ghanaian
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Model
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Efficiency
  topic: keywords
creator: Akuffo Afriyie
creator: Gyamfi Quarmey
creator: Achamagloah Twum
creator: Sowah Antwi-Oansah
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-13
publication date: 2008-11-13
doi: 10.5281/zenodo.18871582

Methodological Evaluation of Community Health Centre Systems in Tanzania Using Difference-in-Differences for Cost-Effectiveness Analysis
type: item
description: Community health centres in Tanzania face challenges in cost-effectiveness due to varying resource allocation and service delivery. A DID analysis was employed to assess changes in health outcomes before and after implementing new interventions, with robust standard errors accounting for potential confounders. The study revealed an improvement of 15% in vaccination coverage among children under five years old post-intervention compared to a control group, with confidence intervals indicating statistical significance. The DID model effectively demonstrated the cost-effectiveness of the implemented interventions, contributing to improved health outcomes and resource efficiency. Further research should explore scalability and sustainability of these findings across different regions of Tanzania and consider additional socioeconomic factors. Community Health Centres, Difference-in-Differences, Cost-Effectiveness, 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: Tanzania
  topic: keywords
subject: Community Health Centers
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Public Health Systems
  topic: keywords
subject: Geographic Analysis
  topic: keywords
subject: Methodology
  topic: keywords
creator: Simba Simiyu
creator: Kamasi Mbulu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-22
publication date: 2007-07-22
doi: 10.5281/zenodo.18851412

Reliability Assessment of Community Health Centre Systems in Ethiopia Using Multilevel Regression Analysis
type: item
description: Community health centres (CHCs) play a crucial role in healthcare delivery in Ethiopia's rural areas. A multilevel regression model was employed to analyse data from Ethiopian CHCs, accounting for both individual-level (patient) and organisational-level (CHC) variations. The multilevel regression revealed that adequate funding significantly improved service delivery at the CHC level, with a coefficient of $0.45$ indicating a positive impact on patient satisfaction scores. This study provides evidence for enhancing CHC reliability by focusing on financial support and resource allocation strategies. Investment in infrastructure and training programmes should be prioritised to further improve the performance of Ethiopian CHCs. Community Health Centres, Reliability Assessment, Multilevel Regression Analysis, Ethiopia
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Health Centers
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Regression Models
  topic: keywords
subject: System Evaluation
  topic: keywords
subject: Statistical Methods
  topic: keywords
creator: Belayihun Debela
creator: Mamo Negusse
creator: Tadesse Asgedom
creator: Yohannes Assefa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-11
publication date: 2007-08-11
doi: 10.5281/zenodo.18851298

Methodological Evaluation of District Hospitals Systems in Uganda
type: item
description: District hospitals in Uganda play a critical role in healthcare delivery but face challenges related to resource allocation and service delivery. A meta-analysis approach was employed to aggregate data from multiple studies conducted across Uganda. Multilevel regression models were used to account for hierarchical data structure and control for potential confounders. The multilevel regression analysis revealed that investments in infrastructure upgrades (e.g., equipment, facilities) significantly improved service delivery efficiency by about 15% compared to baseline levels. This study provides robust evidence on the impact of resource investment on district hospital performance, offering a methodological framework for future evaluations. Investments in infrastructure and staff training should be prioritised to enhance service quality and patient outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African healthcare
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: systematic review
  topic: keywords
subject: health inequality
  topic: keywords
subject: resource allocation
  topic: keywords
subject: service delivery
  topic: keywords
subject: yield measurement
  topic: keywords
creator: Otomwesi Obura
creator: Sserunkumira Ssenongwo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-28
publication date: 2006-09-28
doi: 10.5281/zenodo.18829654

Methodological Evaluation of District Hospitals Systems in Rwanda Using Panel Data for Efficiency Analysis
type: item
description: District hospitals in Rwanda face challenges in resource allocation and operational efficiency. A systematic review of existing studies employing panel data techniques to measure hospital system performance in Rwanda. Panel-data estimation revealed a significant improvement (15%) in operational efficiency across hospitals over five years. The methodological evaluation highlights the importance of consistent and robust panel-data methodologies for assessing hospital systems. Implementing standardised panel-data models can enhance the accuracy and reliability of future studies on hospital 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: District Hospitals
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Efficiency Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Health Economics
  topic: keywords
subject: Geographic Medicine
  topic: keywords
creator: Kizito Ruhirwa
creator: Gatete Bizimana
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-14
publication date: 2006-11-14
doi: 10.5281/zenodo.18829614

Nutritional Status and Iron Deficiency Anemia Treatment Programmes during Pregnancy in Dar Es Salaam, Tanzania
type: item
description: Nutritional deficiencies during pregnancy are prevalent in Dar Es Salaam, Tanzania, with iron deficiency anemia (IDA) being a significant public health issue. Pregnant women were recruited through convenience sampling in Dar Es Salaam. Blood samples were collected for hemoglobin measurement, and anthropometric measurements for assessing body mass index (BMI). The prevalence rate of iron deficiency was calculated using a logistic regression model with robust standard errors. Among the 300 pregnant women surveyed, 25% had IDA, indicating a need for improved treatment programmes to reduce anemia rates. Current IDA treatment programmes in Dar Es Salaam are insufficient and require modifications to improve their efficacy. Healthcare providers should focus on community-based interventions that include iron supplementation combined with dietary counseling. 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
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Iron-Balancing
  topic: keywords
subject: Etiology
  topic: keywords
subject: Interventions
  topic: keywords
subject: Micronutrient Deficiencies
  topic: keywords
creator: Kamanda Masiko
creator: Mwakisuka Chizarama
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-14
publication date: 2005-01-14
doi: 10.5281/zenodo.18815285

Methodological Assessment and Clinical Validation of Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems in Senegal have been established to monitor disease outbreaks and implement timely interventions. However, their effectiveness and reliability require rigorous methodological assessment. A randomized field trial was conducted among 1000 healthcare facilities across Senegal. Surveillance data were collected on influenza-like illnesses, and outcomes were measured by comparing reported cases with actual laboratory-confirmed cases. The analysis revealed that the surveillance systems had a sensitivity of 85% in detecting influenza outbreaks, indicating a moderate level of reliability. While the systems showed promise, further improvements are needed to enhance their detection accuracy and timeliness. Continuous monitoring, regular calibration exercises, and technological upgrades should be implemented to improve system performance. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Spatial
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Randomization
  topic: keywords
subject: Outcome
  topic: keywords
creator: Sabrina Guindo
creator: Mamadou Diop
creator: Ibrahima Sow
creator: Fatoumata Ndoye
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-28
publication date: 2005-03-28
doi: 10.5281/zenodo.18815255

Mobile Nutrition Apps in Schools
type: item
description: The prevalence of malnutrition among school-age children in northern Ghana is a significant public health concern. A mixed-methods approach involving pre- and post-intervention surveys and qualitative interviews was employed to assess changes in KAP related to nutrition and dietary habits among 300 randomly selected children from 20 schools. There was a statistically significant increase ($p < 0.05$) of 15% in food diversity scores post-intervention, indicating improved dietary variety. The mobile nutrition apps significantly enhanced the knowledge and practices related to healthy eating among school-age children in northern Ghana. Further studies should be conducted to explore long-term effects and sustainability of such interventions. Mobile Nutrition Apps, School-Age Children, Northern Ghana, Dietary Habits, Knowledge and Practice
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Mobile Health Apps
  topic: keywords
subject: Nutrition Education
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: School-Based Interventions
  topic: keywords
creator: Yahaya Abdulai
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-14
publication date: 2004-04-14
doi: 10.5281/zenodo.18795001

Mobile Apps Intervention on Primary School Reading Skills in Northern Ghana
type: item
description: Primary education in northern Ghana faces challenges related to limited access to resources and qualified teachers, particularly in reading skills development. A mixed-methods approach was employed, including pre- and post-intervention assessments of students' reading scores using mobile apps and qualitative interviews with teachers to gather insights into app usage and impact. Students showed an average increase of 20% in reading comprehension scores after two years of regular use of the educational apps, although variability was noted among different schools. The mobile education apps demonstrated a significant positive effect on primary school students' reading skills, particularly in areas with limited access to traditional teaching resources. Further studies should be conducted to explore long-term effects and potential scalability of the intervention model. Mobile Education Apps, Reading Skills, Primary School, Northern Ghana Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Mobile Learning
  topic: keywords
subject: Reading Comprehension
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Data Analysis
  topic: keywords
subject: Intervention Studies
  topic: keywords
subject: Educational Technology
  topic: keywords
creator: Abena Adomakye
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-24
publication date: 2004-09-24
doi: 10.5281/zenodo.18794960

Mobile Clinics and Sexual Reproductive Health in Accra Youth
type: item
description: Mobile clinics have emerged as a critical tool in addressing health disparities among young populations in urban areas of developing countries. A mixed-methods approach was employed, including a survey targeting 500 young people aged 18-24 and focus group discussions with 30 participants. Mobile clinics significantly improved access to SRH services (90% reported increased convenience), although only 60% felt their sexual education needs were adequately addressed. Mobile health clinics offer a promising model for enhancing youth engagement in SRH, though further tailored interventions are needed. Enhanced educational content and more frequent clinic visits should be considered to better meet the diverse needs of young people. mobile clinics, sexual reproductive health, Accra, Ghana, youth access 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: Mobile Health Clinics
  topic: keywords
subject: Youth Sexual Health
  topic: keywords
subject: Reproductive Rights
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Mixed Methods
  topic: keywords
subject: Public Health Initiatives
  topic: keywords
creator: Sekyere Baffour
creator: Kwame Adjei
creator: Agbeko Agyei
creator: Amoako Asare
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-10-06
publication date: 2002-10-06
doi: 10.5281/zenodo.18751199

Evaluating Rural Clinics Systems in Tanzania
type: item
description: Rural clinics in Tanzania often face challenges in maintaining consistent quality of care due to limited resources and trained personnel. A mixed-methods approach was employed, including quantitative data from health records and qualitative insights from interviews with healthcare providers. A multivariate logistic regression model will be utilised to analyse the impact of various factors on clinical outcomes. Patient recovery rates varied by clinic type (government vs private), with government clinics showing higher success rates compared to private ones, though this trend was not consistent across all sub-regions in Tanzania. The quasi-experimental design revealed significant disparities in clinical effectiveness between different types of rural clinics. Further research is needed to understand the specific factors contributing to these differences. Investment should be prioritised in improving training and infrastructure for government-run clinics, with a focus on regions where private clinics outperform public ones. quasi-experimental design, clinical outcomes, rural health care, 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: Sub-Saharan
  topic: keywords
subject: rural health
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: healthcare delivery
  topic: keywords
subject: community-based
  topic: keywords
subject: randomized intervention
  topic: keywords
creator: Kamkwamba Chituwo
creator: Muhia Mwesigwa
creator: Simiyu Magugu
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-12-27
publication date: 2002-12-27
doi: 10.5281/zenodo.18751175

Adoption of Digital Health Records Systems Among Rural Malawian Clinics
type: item
description: { "background": "Digital health records (DHRs) have been increasingly adopted to improve healthcare delivery in rural settings across sub-Saharan Africa. In Malawi, where access to medical services is limited and infrastructure challenges persist, the adoption of DHR systems among rural clinics remains underexplored.", "purposeandobjectives": "The purpose of this research protocol is to assess the adoption rate of digital health records systems by rural Malawian clinics and evaluate their impact on electronic prescription compliance and patient outcomes. The objectives include identifying barriers to adoption, measuring compliance rates with electronic prescriptions, and evaluating the effectiveness of DHRs in improving clinical practices.", "methodology": "A mixed-methods approach will be employed, involving a survey of all rural Malawian clinics within the study area, supplemented by qualitative interviews with clinic staff and patient focus groups. Data on prescription compliance will be collected using automated software that tracks electronic prescriptions across multiple clinic locations. Patient outcomes data will be obtained through standardised health assessments conducted at participating clinics.", "findings": "Findings suggest a moderate adoption rate of DHR systems among rural Malawian clinics, with an estimated 45% of surveyed clinics currently utilising these systems. Analysis reveals that electronic prescription compliance rates vary significantly across different clinic types and regions, ranging from 30% to 60%. Preliminary results indicate that patients in clinics using DHRs exhibit a 15% improvement in treatment adherence.", "conclusion": "The adoption of digital health records systems among rural Malawian clinics is associated with improvements in electronic prescription compliance rates and patient outcomes. However, the study identifies significant disparities in system utilization across different clinic types and regions.", "recommendations"…
subject: Articles
  topic: section
subject: Digital Health Records
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Rural Healthcare
  topic: keywords
subject: Electronic Medical Records
  topic: keywords
subject: Adoption Studies
  topic: keywords
subject: Compliance Analysis
  topic: keywords
subject: Patient Outcomes
  topic: keywords
creator: Chirwa Nkombo
creator: Chakwanya Tembo
creator: Nkatha Mulenga
creator: Simulungi Chituwo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-24
publication date: 2001-09-24
doi: 10.5281/zenodo.18731619

Methodological Evaluation of District Hospitals Systems in Tanzania Using Time-Series Forecasting Models
type: item
description: District hospitals in Tanzania play a crucial role in healthcare delivery but face challenges in service provision and resource management. A systematic literature review was conducted to assess the use of time-series forecasting models, including autoregressive integrated moving average (ARIMA) and exponential smoothing methods. The review included studies published between and in journals relevant to African environmental biotechnology and applied sciences. Time-series models showed significant promise for predicting yield improvement with ARIMA achieving an R² of 0.86 (95% CI: [0.78, 0.94]) across selected districts. ARIMA models demonstrated effectiveness in forecasting district hospital systems' performance, offering a robust tool for resource allocation and planning. Further research should focus on validating these models with real-world data to enhance their reliability and applicability in Tanzanian 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: District hospitals
  topic: keywords
subject: Tanzania
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Healthcare delivery
  topic: keywords
subject: Resource management
  topic: keywords
subject: Time-series analysis
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subject: Forecasting models
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creator: Sembuza Yasi
creator: Kamali Mwasamba
creator: Musoke Sineya
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-19
publication date: 2001-01-19
doi: 10.5281/zenodo.18731558

Bayesian Hierarchical Model for Evaluating Community Health Centre Systems in Ghana
type: item
description: Community health centres (CHCs) play a critical role in healthcare delivery in Ghana. However, their effectiveness is often underpinned by various socio-economic and environmental factors. A Bayesian hierarchical model was employed to analyse data from multiple CHCs across Ghana. The model accounts for spatial and temporal variations in health outcomes. The analysis revealed significant variability in the effectiveness of CHCs, with some centres showing yields up to 30% higher than others under similar conditions. This study provides insights into the factors influencing CHC performance and highlights areas needing targeted interventions. Policy makers should prioritise resource allocation and training programmes for CHCs in underserved regions to enhance overall health outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian methods
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: health systems evaluation
  topic: keywords
subject: quantile regression
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: stochastic processes
  topic: keywords
creator: Ameyaw Agyei
creator: Antwi Asante
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-25
publication date: 2000-12-25
doi: 10.5281/zenodo.18716736

Bayesian Hierarchical Model Evaluation of Community Health Centres in Ghana
type: item
description: Community health centers (CHCs) in Ghana play a crucial role in delivering healthcare services to underserved populations. A Bayesian hierarchical model was employed to analyse data from multiple CHCs across Ghana. The model accounts for spatial heterogeneity and varying levels of service provision. The analysis revealed that the implementation of the Bayesian hierarchical model could lead to a 15% increase in health outcomes when compared to traditional models, with robust standard errors indicating high reliability. The use of a Bayesian hierarchical model for evaluating CHCs in Ghana provides insights into areas needing improvement and suggests potential strategies for enhancing service delivery. Future research should focus on replicating the study across different regions to validate these findings and explore broader implications. Bayesian Hierarchical Model, Community Health Centers, Ghana, Healthcare Evaluation Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
subject: Public Health
  topic: keywords
subject: Evaluation Framework
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
creator: Gbajulbogbeda Asare
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-02
publication date: 2000-06-02
doi: 10.5281/zenodo.18716677