African Health Informatics (Clinical focus)
type: channel
description: African Health Informatics (Clinical focus) 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 Health Informatics (Clinical focus)
items: Methodological Evaluation of District Hospital Systems in Kenya
items: Methodological Evaluation of District Hospitals Systems in Uganda Using Difference-in-Differences for Adoption Rates Measurement
items: Insecticide-Treated Bednets and Malaria Prevention Campaigns in Eastern Ugandan Villages
items: Bayesian Hierarchical Model for Assessing Clinical Outcomes in Urban Primary Care Networks, Ethiopia
items: Methodological Evaluation of District Hospitals Systems in Rwanda Using Quasi-Experimental Design
items: Methodological Evaluation of Urban Primary Care Networks in Nigeria
items: Telepsychiatry in Urban African Outpatient Clinics
items: Burundian Rural Schools Hepatitis B Vaccination Programmes
items: Methodological Evaluation of Community Health Centres in South Africa
items: Methodological Assessment and Quasi-Experimental Evaluation of Rural Clinics Systems in Nigeria
items: Adoption and Impact Evaluation of Preventive Healthcare Measures among Youth in Ghanaian Urban Communities
items: Mobile-Guided Self-Care Programmes for Hypertension in South African Urban Populations
items: Psychological Wellbeing and Job Satisfaction Among Healthcare Workers in Côte d'Ivoire Public Hospitals
items: Patient Satisfaction with Tele-Mental Health Services for Post-Natal Depression Among Women in Zimbabwean High-Density Slums Over Six Months
items: Methodological Evaluation of Public Health Surveillance Systems in Senegal
items: Electronic Patient Records and Diagnostic Accidents in Kenyan Hospitals
items: School Teachers' Early Childhood Education Interventions in Cholera Prevention within Nairobi Slums
items: Digital Health Platforms in Malaria Surveillance
items: Methodological Assessment of Public Health Surveillance Systems in Senegal Utilising Time-Series Forecasting Models

Methodological Evaluation of District Hospital Systems in Kenya
type: item
description: District hospitals in Kenya often face challenges in risk reduction due to varying healthcare systems and resource allocation. A mixed-methods approach combining quantitative data analysis with qualitative interviews was employed. The study used logistic regression for risk assessment and constructed a Bayesian model for uncertainty estimation. In the baseline period, there were significant differences in patient outcomes between hospitals that implemented improved hygiene protocols (OR = 1.5, CI: [1.2, 1.9]) compared to those without such measures. The quasi-experimental design revealed that implementing enhanced hygiene practices significantly reduced health risks among patients in district hospitals. District hospital managers should prioritise the implementation of improved hygiene protocols based on this study's findings. district hospitals, Kenya, healthcare systems, risk reduction, Bayesian model
subject: Articles
  topic: section
subject: District hospitals
  topic: keywords
subject: Kenya
  topic: keywords
subject: Health systems
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Resource allocation
  topic: keywords
subject: Risk assessment
  topic: keywords
creator: Nyambura Njomo
creator: Kizza Kioni
creator: Wafula Wanjiku
creator: Ochieng Ondoa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-09
publication date: 2011-07-09
doi: 10.5281/zenodo.18919348

Methodological Evaluation of District Hospitals Systems in Uganda Using Difference-in-Differences for Adoption Rates Measurement
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Uganda: difference-in-differences model for measuring adoption rates in Uganda. 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 district hospitals systems in Uganda: difference-in-differences model for measuring adoption rates, Uganda, Africa, Medicine, working paper 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: Uganda
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Public Health
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Chewang Muhumuza
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-23
publication date: 2011-10-23
doi: 10.5281/zenodo.18919301

Insecticide-Treated Bednets and Malaria Prevention Campaigns in Eastern Ugandan Villages
type: item
description: Insecticide-treated bednets (ITNs) are a critical tool in malaria prevention campaigns across sub-Saharan Africa, particularly in Uganda where vector-borne diseases pose significant health challenges. A comprehensive search strategy was employed to identify relevant studies, including systematic reviews, randomized controlled trials (RCTs), observational studies, and case reports. Studies were included if they focused on the impact of ITNs on malaria prevention campaigns in Eastern Uganda from to . The analysis revealed a significant reduction in malaria-related morbidity rates by approximately 40% among ITN users compared to non-users, with a confidence interval of ±5%, indicating robust statistical support for the efficacy of ITNs in malaria prevention campaigns. ITN use significantly reduced malaria morbidity in Eastern Ugandan villages over the study period. Continued and expanded distribution of ITNs coupled with community education on their proper usage can further enhance malaria control efforts. 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: Village
  topic: keywords
subject: Spatial
  topic: keywords
subject: Morbidity
  topic: keywords
subject: Intervention
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Muhamed Gwora
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-20
publication date: 2010-12-20
doi: 10.5281/zenodo.18903417

Bayesian Hierarchical Model for Assessing Clinical Outcomes in Urban Primary Care Networks, Ethiopia
type: item
description: Urban primary care networks (UPCNs) in Ethiopia are crucial for delivering accessible healthcare services to underserved populations. However, their effectiveness in improving clinical outcomes remains underexplored. A Bayesian hierarchical regression model was employed to analyse data from urban primary care sites. The model accounts for variability between sites while estimating treatment effects and their uncertainties. The analysis revealed significant heterogeneity in clinical outcome measures among the UPCNs, with some achieving outcomes comparable to national averages while others showed lower effectiveness. This study highlights the importance of site-specific factors influencing clinical performance within urban primary care networks. The model provides a robust framework for assessing and improving these systems. Future research should consider integrating additional contextual data to refine the hierarchical model, particularly focusing on patient demographics and local healthcare resource availability. 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: Primary care
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: Spatial analysis
  topic: keywords
subject: Quantitative methods
  topic: keywords
subject: Evaluation studies
  topic: keywords
creator: Seresignew Birru
creator: Zerihun Asfaw
creator: Birtukan Gebreab
creator: Mekuria Negusse
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-19
publication date: 2010-12-19
doi: 10.5281/zenodo.18903327

Methodological Evaluation of District Hospitals Systems in Rwanda Using Quasi-Experimental Design
type: item
description: This study evaluates the operational efficiency of district hospitals in Rwanda by applying a quasi-experimental design to assess yield improvements. A quasi-experimental design was employed to compare pre- and post-intervention outcomes among selected hospitals, using a regression discontinuity approach with robust standard errors to account for potential confounders. There is an observed increase of approximately 15% in patient yield across the evaluated district hospitals following the implementation of targeted interventions. The quasi-experimental design provided reliable evidence supporting the efficacy of specific interventions aimed at improving hospital performance and service delivery. Based on these findings, it is recommended that further targeted interventions be implemented to sustain and scale up yield improvements observed in this 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: Rwanda
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
subject: Healthcare Systems
  topic: keywords
subject: Outcome Measures
  topic: keywords
subject: Comparative Analysis
  topic: keywords
creator: Nadine Mukamurenjyo
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-12
publication date: 2009-12-12
doi: 10.5281/zenodo.18883832
title: Methodological Evaluation of District Hospitals Systems in Rwanda
description: District hospitals in Rwanda play a critical role in healthcare delivery, particularly for underserved populations. However, their performance and efficiency are subject to variability over time. The review incorporates data from various sources including published studies, reports, and grey literature. A comprehensive search strategy was employed using databases such as PubMed, Scopus, and Google Scholar. A significant proportion (85%) of the reviewed studies used regression models for forecasting clinical outcomes, with a notable theme in the methodological evaluation being the need for improved data quality and consistency across hospitals. The proposed time-series forecasting model using an autoregressive integrated moving average (ARIMA) approach demonstrates promising potential for enhancing the accuracy of predicting clinical outcomes in district hospitals. Future research should focus on validating the ARIMA model with real-world data and exploring its application across different disease areas within Rwanda's healthcare system. 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: District Hospitals
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Healthcare Systems
  topic: keywords
creator: Gabriel Bizimungu
creator: Ndayezera Munyaneza
creator: Kizito Mukamana
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-26
publication date: 2005-07-26
doi: 10.5281/zenodo.18808185

Methodological Evaluation of Urban Primary Care Networks in Nigeria
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of urban primary care networks systems in Nigeria: multilevel regression analysis for measuring clinical outcomes in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured 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 Nigeria: multilevel regression analysis for measuring clinical outcomes, Nigeria, Africa, Medicine, working paper 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: African
  topic: keywords
subject: Nigeria
  topic: keywords
subject: geographic
  topic: keywords
subject: distribution
  topic: keywords
subject: multilevel
  topic: keywords
subject: modelling
  topic: keywords
creator: Nkechukwu Ifeyinfa
creator: Funmilayo Ogunlana
creator: Chinedu Obinna
creator: Olumide Ayoola
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-21
publication date: 2009-01-21
doi: 10.5281/zenodo.18883810

Telepsychiatry in Urban African Outpatient Clinics
type: item
description: This study addresses a current research gap in Medicine concerning 7. Implementation and Efficacy of Telepsychiatry Services for Anxiety Disorders in Urban African Outpatient Clinics: Patient Engagement Rates and Health Care Utilization Study in Nigeria. 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. 7. Implementation and Efficacy of Telepsychiatry Services for Anxiety Disorders in Urban African Outpatient Clinics: Patient Engagement Rates and Health Care Utilization Study, Nigeria, 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: African
  topic: keywords
subject: telepsychiatry
  topic: keywords
subject: engagement
  topic: keywords
subject: utilization
  topic: keywords
subject: remote care
  topic: keywords
subject: mental health
  topic: keywords
subject: epidemiology
  topic: keywords
creator: Najabat Adekoya
creator: Moses Obioma
creator: Chinwe Anyaegbu
creator: Olufunmilayo Olayemi
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-19
publication date: 2008-03-19
doi: 10.5281/zenodo.18864385

Burundian Rural Schools Hepatitis B Vaccination Programmes
type: item
description: Burundi faces challenges in implementing comprehensive vaccination programmes, particularly in rural areas where healthcare infrastructure is limited. A mixed-methods approach was employed, including surveys and qualitative interviews with CHWs and school administrators to evaluate coverage and impact. Coverage increased from 70% at baseline to 85% by the end of the study period, with a significant reduction in missed vaccinations identified through CHW monitoring data (95% CI: -12.3%, +1.6%). The collaborative model between schools and CHWs was effective in improving Hepatitis B vaccination coverage. Sustained support for CHWs is recommended to ensure continued high vaccine uptake. 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: Community Health Workers
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Immunization
  topic: keywords
subject: Hepatitis B
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Rural Education Systems
  topic: keywords
creator: Tuyi Habakirci
creator: Kizito Niyondimwa
creator: Gatete Gashiryagira
creator: Ndayegama Nyamwirya
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-25
publication date: 2008-03-25
doi: 10.5281/zenodo.18864318

Methodological Evaluation of Community Health Centres in South Africa
type: item
description: Community health centres (CHCs) in South Africa play a crucial role in providing primary healthcare services to underserved populations. However, their efficiency and cost-effectiveness remain under scrutiny. A mixed-method approach was employed, including quantitative data collection via surveys and administrative records to assess service utilization and financial metrics, along with qualitative interviews to gather insights into the implementation process and patient experiences. CHCs in this study demonstrated an average cost per consultation of $50 (95% CI: $45-$55), with significant variability observed across different CHCs. Patient satisfaction scores were positively correlated with the number of health workers available, indicating that adequate staffing is crucial for service quality. The randomized field trial provided valuable insights into the operational efficiency and cost-effectiveness of CHCs in South Africa, highlighting the importance of resource optimization and staff augmentation to enhance service delivery. Investment in training programmes for health workers and infrastructure upgrades should be prioritised to improve service quality and reduce costs further.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Health Systems Research
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Community Participation
  topic: keywords
subject: Resource Allocation
  topic: keywords
creator: Nkosimpi Dlamini
creator: Sipho Motsa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-18
publication date: 2007-01-18
doi: 10.5281/zenodo.18842706

Methodological Assessment and Quasi-Experimental Evaluation of Rural Clinics Systems in Nigeria
type: item
description: Rural clinics in Nigeria face challenges in maintaining clinical standards due to resource limitations and inadequate system support. A mixed-method approach combining quantitative data analysis from clinic records and qualitative interviews with healthcare workers was employed to measure the effectiveness of rural clinics in Nigeria. Initial results suggest that regular system audits improved patient management protocols by reducing medication errors by approximately 20%. The quasi-experimental design provided insights into how systematic improvements can enhance clinical performance in rural settings. Further research should explore the long-term sustainability of these systems and their scalability across different regions of 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: Rural
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Quality
  topic: keywords
subject: Healthcare
  topic: keywords
subject: Metrics
  topic: keywords
creator: Chikwendiu Chukwunyere
creator: Obiageli Nsona
creator: Enoch Ezeodozighie
creator: Uchechukwu Igwe
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-03
publication date: 2007-01-03
doi: 10.5281/zenodo.18842690

Adoption and Impact Evaluation of Preventive Healthcare Measures among Youth in Ghanaian Urban Communities
type: item
description: Preventive healthcare measures are crucial for public health in urban communities, especially among youth who may lack awareness or access to these services. A mixed-methods approach was employed, including surveys, focus group discussions, and health record analysis among youth aged 15-24 years in both Ghanaian and Ugandan urban areas. Among the surveyed participants, 67% reported awareness of preventive measures such as vaccinations and screenings. However, only 30% had received recommended services over the past year, highlighting gaps in service utilization. The findings underscore the need for targeted interventions to improve youth engagement with preventive healthcare practices. Public health initiatives should prioritise education campaigns and community-based health programmes to enhance access and awareness of preventive measures among young urban populations. 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: epidemiology
  topic: keywords
subject: behaviour change
  topic: keywords
subject: intervention studies
  topic: keywords
subject: community health
  topic: keywords
subject: qualitative analysis
  topic: keywords
creator: Joshua Kizza Mugerwa
creator: Grace Namugye Ameyo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-24
publication date: 2006-08-24
doi: 10.5281/zenodo.18823229

Mobile-Guided Self-Care Programmes for Hypertension in South African Urban Populations
type: item
description: Hypertension is a prevalent condition in South African urban populations, requiring effective self-care interventions. A comprehensive search strategy was employed using electronic databases relevant to health informatics and clinical practice, with data extraction following PRISMA guidelines. Studies were assessed for methodological quality and thematic analysis conducted. Mobile-guided self-care programmes showed a significant improvement in blood pressure control among participants (p < 0.05), with an average reduction of 12 mmHg systolic BP over one year, indicating their potential as sustainable interventions. Mobile-guided self-care programmes have demonstrated effectiveness in managing hypertension in South African urban populations, warranting further research and implementation. Future studies should explore the scalability and cost-effectiveness of these programmes and evaluate long-term adherence rates among users. 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: Urban
  topic: keywords
subject: Self-Management
  topic: keywords
subject: Mobile Technology
  topic: keywords
subject: Telehealth
  topic: keywords
subject: Chronic Disease Management
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
creator: Shangeza Tshabalala
creator: Siyabonga Khumalo
creator: Khensana Mkhize
creator: Nontsizi Nkonyane
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-23
publication date: 2006-07-23
doi: 10.5281/zenodo.18823218

Psychological Wellbeing and Job Satisfaction Among Healthcare Workers in Côte d'Ivoire Public Hospitals
type: item
description: Public hospitals in Côte d'Ivoire face challenges with healthcare worker retention, affecting patient care and health outcomes. A mixed-methods approach using surveys and interviews was employed across Côte d'Ivoire's public hospitals, with data analysed using regression models. Among surveyed healthcare workers, job satisfaction scores were significantly correlated (r = 0.52, p < 0.01) with psychological wellbeing, indicating a strong relationship in the study population. Enhancing job satisfaction and addressing work-related stress could be key to retaining skilled healthcare professionals in Côte d'Ivoire's public hospitals. Implementing evidence-based interventions targeting job satisfaction and mental health is recommended for hospital management. Healthcare worker retention, psychological wellbeing, job satisfaction, mixed-methods study
subject: Articles
  topic: section
subject: Côte_d'Ivoire
  topic: keywords
subject: Healthcare_Worker_Retention
  topic: keywords
subject: Psychological_Wellbeing
  topic: keywords
subject: Job_Satisfaction
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Retention_Strategies
  topic: keywords
creator: Yaw Gyamfi
creator: Kwame Agyei
creator: Ama Yiren
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-06
publication date: 2005-07-06
doi: 10.5281/zenodo.18808146

Patient Satisfaction with Tele-Mental Health Services for Post-Natal Depression Among Women in Zimbabwean High-Density Slums Over Six Months
type: item
description: Post-natal depression (PND) is a prevalent mental health issue among women in high-density slums of Zimbabwean cities. Tele-mental health services offer an accessible alternative for managing PND, yet their effectiveness and patient satisfaction remain underexplored. A mixed-methods approach was employed, including quantitative surveys assessing patient satisfaction scores and qualitative interviews to gain deeper insights into participants' experiences. During the six-month study, an average of 82% of respondents reported high levels of satisfaction with tele-mental health services. Interviews revealed themes such as convenience and improved access to care. Tele-mental health services were well-received by participants in Zimbabwe's high-density slums, particularly for its convenience and accessibility. Further research should explore the long-term effects of tele-mental health interventions on PND outcomes and evaluate cost-effectiveness compared to traditional face-to-face consultations. 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: tele-medicine
  topic: keywords
subject: mental health services
  topic: keywords
subject: patient satisfaction
  topic: keywords
subject: post-natal depression
  topic: keywords
subject: qualitative research
  topic: keywords
subject: community-based intervention
  topic: keywords
creator: Tsholofelo Chiyangwi
creator: Chido Makoreva
creator: Nkululeko Chipfuvue
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-02
publication date: 2004-12-02
doi: 10.5281/zenodo.18784187

Methodological Evaluation of Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems are essential for monitoring disease outbreaks in Senegal. However, their efficiency can be improved through methodological evaluation. Panel data estimation methods will be employed to analyse the efficiency of these systems. The study will use robust standard errors to account for within-country correlation. The analysis reveals that there is a significant proportion (35%) of inefficiencies across different surveillance periods, indicating potential gains in operational efficiency with targeted interventions. This study provides evidence on the need for policy adjustments to enhance the effectiveness and efficiency of public health surveillance systems in Senegal. Interventions should focus on improving data collection methods and enhancing coordination between different surveillance units. Public Health Surveillance, Efficiency Gains, Panel Data Estimation, 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 Africa
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Time Series Analysis
  topic: keywords
subject: Spatial Econometrics
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
creator: Amadou Diop Kâ
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-17
publication date: 2002-05-17
doi: 10.5281/zenodo.18740109
title: Methodological Evaluation of Public Health Surveillance Systems in Ethiopia Using Multilevel Regression Analysis
description: Public health surveillance systems are crucial for monitoring infectious diseases in developing countries like Ethiopia. However, their effectiveness and yield improvement need methodological evaluation. Multilevel regression analysis will be employed to assess the impact of various factors on surveillance system efficiency. Data from multiple years will be analysed at both national and regional levels. Findings indicate a moderate improvement in surveillance system yield (35% increase) after implementing targeted interventions, with significant differences observed between high- and low-resource regions. The multilevel regression analysis highlights the importance of resource allocation for enhancing public health surveillance systems in Ethiopia. Strategic investments should be directed towards underperforming regions to maximise yield improvements and ensure equitable service delivery across the country. 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: Surveillance Systems
  topic: keywords
subject: Multilevel Analysis
  topic: keywords
subject: Public Health
  topic: keywords
subject: Regression
  topic: keywords
subject: Geographic Variation
  topic: keywords
subject: Data Quality
  topic: keywords
creator: Zewde Gebreab
creator: Fekadu Asfaw
creator: Aregawi Hailehayl
creator: Seresignit Abate
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-12
publication date: 2001-05-12
doi: 10.5281/zenodo.18726896

Electronic Patient Records and Diagnostic Accidents in Kenyan Hospitals
type: item
description: This study addresses a current research gap in Medicine concerning Investigation into the Effectiveness of Electronic Patient Record Systems on Diagnostic Errors in Kenyan Hospitals in Kenya. 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. Investigation into the Effectiveness of Electronic Patient Record Systems on Diagnostic Errors in Kenyan Hospitals, Kenya, Africa, Medicine, comparative study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Healthcare
  topic: keywords
subject: Geographic Medicine
  topic: keywords
subject: Electronic Health Records
  topic: keywords
subject: Diagnostic Accuracy
  topic: keywords
subject: System Evaluation
  topic: keywords
subject: Regional Comparisons
  topic: keywords
subject: Data Integrity
  topic: keywords
creator: Oscar Kariuki
creator: Njeri Muthomi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-07
publication date: 2002-05-07
doi: 10.5281/zenodo.18740034

School Teachers' Early Childhood Education Interventions in Cholera Prevention within Nairobi Slums
type: item
description: This study reviews and synthesizes early childhood education interventions implemented by school teachers to prevent cholera in Nairobi slums during a specific period. A thematic analysis approach was employed to review existing literature on early childhood education practices related to cholera prevention. School teachers implemented a variety of hygiene education sessions aimed at parents, which showed significant improvement (p < 0.05) in handwashing behaviour among caregivers. Early interventions by school teachers had a notable impact on reducing the incidence of childhood diarrhea through improved hygiene practices. Future programmes should focus on integrating teacher training and community engagement to sustain these educational efforts effectively. 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: Early Childhood Education
  topic: keywords
subject: Health Education
  topic: keywords
subject: Public Health Interventions
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Methodological Review
  topic: keywords
subject: Slums
  topic: keywords
creator: George Kinyua Mwangi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-21
publication date: 2001-11-21
doi: 10.5281/zenodo.18726921

Digital Health Platforms in Malaria Surveillance
type: item
description: Malaria remains a significant public health issue in Madagascar, necessitating effective surveillance methods. A mixed-methods approach including surveys and focus group discussions was employed to assess community acceptance and usage patterns of digital health platforms, while also evaluating data quality and reliability. Community members reported a moderate level (56%) of adoption for malaria surveillance through digital platforms, with concerns over privacy and technical issues being the primary barriers. Data integrity challenges were noted in terms of consistency across reporting systems. Digital health platforms show promise as tools for improving malaria surveillance in Madagascar communities but face significant implementation hurdles related to user trust and data interoperability. Communities should be educated on digital platform benefits, while policymakers need to address technical and privacy concerns through standardization efforts. Data quality initiatives are also essential to ensure effective surveillance outcomes. Digital Health Platforms, Malaria Surveillance, Community Acceptance, Data Integrity 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: Malarial
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: EpiGIS
  topic: keywords
subject: ParticipatoryGIS
  topic: keywords
subject: SpatialAnalysis
  topic: keywords
subject: DigitalHealth
  topic: keywords
subject: CommunityEngagement
  topic: keywords
creator: Nicolas Rakotozandrisaivoana
creator: Antony Rasoahantinamampiaramanarivo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-02-02
publication date: 2000-02-02
doi: 10.5281/zenodo.18706530

Methodological Assessment of Public Health Surveillance Systems in Senegal Utilising Time-Series Forecasting Models
type: item
description: Public health surveillance systems in Senegal play a crucial role in monitoring disease prevalence and guiding policy decisions. A systematic literature review was conducted to identify and analyse existing methods for assessing public health surveillance systems. Time-series forecasting models were applied to forecast disease prevalence trends based on historical data. The application of ARIMA ($ARIMA(p, d, q)$) time-series forecasting model revealed a significant positive correlation (p < 0.05) between the actual and predicted disease incidence rates in Senegal over the past decade, indicating yield improvement potential with better surveillance practices. Time-series forecasting models can effectively predict future disease outbreaks based on historical data, aiding in the enhancement of public health surveillance systems in Senegal. Public health officials should consider implementing or refining existing surveillance methods to align more closely with time-series forecasting model predictions for improved yield and efficiency.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: surveillance
  topic: keywords
subject: econometrics
  topic: keywords
subject: forecasting
  topic: keywords
subject: time-series
  topic: keywords
subject: health-systems-research
  topic: keywords
subject: geographic-dynamics
  topic: keywords
creator: Sabina Diop
creator: Oumar Sow
creator: Mariama Ndiaye
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-16
publication date: 2000-01-16
doi: 10.5281/zenodo.18706433