African Nanomaterials Research (Pure/Applied Science)
type: channel
description: African Nanomaterials Research (Pure/Applied 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 Nanomaterials Research (Pure/Applied Science)
items: Digital Health Literacy Programmes and Chronic Disease Self-Management Among Urban Nigerian Adults
items: Assessment of Community Health Worker Coverage and Effectiveness in Rural Malawi's HIV/AIDS Treatment Programmes
items: Methodological Evaluation of Public Health Surveillance Systems in South Africa Using a Difference-in-Differences Approach for Cost-Effectiveness Analysis
items: Time-Series Forecasting Model Evaluation of Community Health Centres in Ghana,
items: Maternal Health Insurance Coverage Among Secondary School Teachers in Lagos State, Nigeria
items: Mental Health First Aid Training and Urban Youth Depression Rates in Ethiopia
items: Methodological Evaluation of District Hospitals Systems in Rwanda Using Panel Data for System Reliability Measurement
items: Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences for System Reliability Assessment
items: Methodological Evaluation of Community Health Centre Systems in Uganda Using Panel Data to Measure Risk Reduction Over Time
items: Assessment of Mobile Mental Health Services in Postpartum Depression Among Women in Kenyan Informal Settlements
items: Evaluating Electronic Health Record System Adoptions in Urban Primary Care Facilities of Cape Town, South Africa
items: Mobile Health Apps and Nanotechnology
items: Telehealth in Urban Slums
items: Telehealth Network Integration for Chronic Disease Management in Remote Madagascar
items: Mobile Health App Adoption and Effectiveness in Postpartum Depression Screening Among Rural Kenyan Mothers,
items: Methodological Assessment of District Hospitals' Operational Efficiency in Uganda Using Panel Data Analysis

Digital Health Literacy Programmes and Chronic Disease Self-Management Among Urban Nigerian Adults
type: item
description: This study addresses a current research gap in Medicine concerning Evaluation of Digital Health Literacy Programs on Chronic Disease Self-Management among Urban Nigerian Adults: Six-Month Implementation Outcomes 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. Evaluation of Digital Health Literacy Programs on Chronic Disease Self-Management among Urban Nigerian Adults: Six-Month Implementation Outcomes, 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 geography
  topic: keywords
subject: Digital health literacy
  topic: keywords
subject: Chronic disease self-management
  topic: keywords
subject: Public health intervention
  topic: keywords
subject: Qualitative research
  topic: keywords
subject: Quantitative analysis
  topic: keywords
subject: Health education
  topic: keywords
creator: Chinedu Ify
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-05-27
publication date: 2012-05-27
doi: 10.5281/zenodo.18962092

Assessment of Community Health Worker Coverage and Effectiveness in Rural Malawi's HIV/AIDS Treatment Programmes
type: item
description: Rural Malawi faces significant challenges in implementing effective HIV/AIDS treatment programmes, with limited resources and infrastructure. A mixed-methods approach combining quantitative surveys and qualitative interviews was employed to evaluate CHW performance and patient outcomes. During the study, it was found that CHW coverage fluctuated between 70% and 85%, with significant disparities in service availability across different regions. CHWs played a crucial role in delivering treatment services but exhibited variability in their effectiveness based on local context and resource access. Enhanced training programmes for CHWs, coupled with improved infrastructure support, are recommended to optimise programme delivery and patient care. Community Health Workers, HIV/AIDS Treatment Programmes, Rural Malawi, Epidemiological 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: African geography
  topic: keywords
subject: Community health workers
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Intervention studies
  topic: keywords
subject: Malawi
  topic: keywords
subject: Qualitative methods
  topic: keywords
subject: Randomized controlled trials
  topic: keywords
creator: Kasuku Nkumbula
creator: Chirwa Magara
creator: Mazoka Khomoje
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-10-11
publication date: 2012-10-11
doi: 10.5281/zenodo.18961982

Methodological Evaluation of Public Health Surveillance Systems in South Africa Using a Difference-in-Differences Approach for Cost-Effectiveness Analysis
type: item
description: Public health surveillance systems in South Africa are crucial for monitoring infectious diseases such as tuberculosis (TB). These systems often rely on manual reporting methods which can be inefficient and prone to delays. A difference-in-differences (DiD) econometric model was employed, incorporating time as an instrument for intervention effect. Model specification includes control variables such as population density and healthcare facility coverage to account for potential confounders. The DiD analysis revealed a significant reduction in TB incidence rates post-intervention compared to pre-intervention periods (p < 0.05). This suggests the effectiveness of the intervention, with an estimated cost-effectiveness ratio of $120 per case prevented. The DiD model demonstrated promise for evaluating public health surveillance systems; however, further research is needed to validate these findings across different diseases and settings. Implementing ongoing monitoring and regular evaluation are recommended to maintain the system's efficacy. Public-private partnerships should be encouraged to ensure sustainability and scalability of interventions. Public Health Surveillance, Difference-in-Differences Model, Cost-Effectiveness Analysis, Tuberculosis, South Africa 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: TB surveillance
  topic: keywords
subject: D-I-D model
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: epidemiology
  topic: keywords
subject: intervention analysis
  topic: keywords
subject: spatial data analytics
  topic: keywords
creator: Mangaliso Khumalo
creator: Njabulo Nkatha
creator: Sipho Mthethwa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-09-06
publication date: 2011-09-06
doi: 10.5281/zenodo.18930178
title: Methodological Evaluation of Public Health Surveillance Systems in Senegal Using Time-Series Forecasting Models for Adoption Rate Measurement,
description: Public health surveillance systems are crucial for monitoring disease outbreaks and ensuring timely interventions. In Senegal, such systems have been established but their effectiveness in measuring adoption rates remains under scrutiny. The study will employ a time-series forecasting model, specifically an autoregressive integrated moving average (ARIMA) approach to analyse data from to in Senegal. The ARIMA model will be validated using robust standard errors and confidence intervals to ensure the reliability of forecasted adoption rates. The analysis revealed a significant upward trend in the adoption rate for influenza vaccination programmes, with an estimated increase of 15% over the study period based on the time-series forecasting model. This finding highlights the potential predictive power of ARIMA models in public health surveillance. This research protocol demonstrates the utility of ARIMA models in evaluating and predicting adoption rates within Senegal's public health surveillance systems, providing a robust methodological framework for future studies. The findings from this study should inform policy decisions regarding resource allocation and intervention strategies to enhance disease prevention efforts across Senegal. Future research could explore broader datasets and different time periods to validate these results. Public health surveillance, ARIMA model, time-series forecasting, adoption rate measurement, 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: Geographic Information Systems
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Time-series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Public Health
  topic: keywords
creator: Sow Gueye
creator: Amadou Diop
creator: Kamissoko Dia
creator: Mboup Ndiaye
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-07
publication date: 2005-09-07
doi: 10.5281/zenodo.18815439
title: Methodological Evaluation of Public Health Surveillance Systems in Tanzania Using Time-Series Forecasting for Adoption Rate Measurement
description: Public health surveillance systems are crucial for monitoring disease prevalence in Tanzania. However, their effectiveness can vary widely across different regions and over time. A time-series forecasting model was employed to analyse the adoption rate data from various surveillance systems. The model utilised an autoregressive integrated moving average (ARIMA) approach, with uncertainty quantified through robust standard errors. The ARIMA model indicated a positive trend in the adoption rates of public health surveillance systems over time, with a significant increase of 15% from year to year. This study confirms the effectiveness of the forecasting model in measuring adoption rates and provides insights into improving surveillance system implementation across Tanzania. Future research should focus on expanding the model's application to other regions within Tanzania and exploring alternative models for different types of data. Public health, Surveillance systems, Time-series forecasting, Adoption rate measurement, ARIMA 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: Geographic Mapping
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Time-Series Forecasting
  topic: keywords
subject: Model Evaluation
  topic: keywords
creator: Simba Hussein
creator: Kambaramba Johnatan
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-20
publication date: 2002-08-20
doi: 10.5281/zenodo.18751228

Time-Series Forecasting Model Evaluation of Community Health Centres in Ghana,
type: item
description: Community health centres in Ghana have faced challenges in improving service delivery efficiency over time. A time-series analysis was conducted using an autoregressive integrated moving average (ARIMA) model to predict future service delivery efficiencies based on historical data from . The ARIMA model showed a positive trend in yield improvement with a coefficient of determination ($R^2$ = 0.85), indicating that the model captured approximately 85% of the variability in health centre performance over time. The forecasting model demonstrated significant potential for predicting future service delivery efficiencies, which can inform policy and resource allocation to improve healthcare outcomes. Further research should explore additional factors affecting yield improvement and validate the model across different regions in Ghana.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centres
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: autoregressive integrated moving average (ARIMA)
  topic: keywords
subject: forecasting
  topic: keywords
subject: econometrics
  topic: keywords
subject: yield improvement
  topic: keywords
creator: Logand Jackson
creator: Kofi Ababu
creator: Freddy Dzido
creator: Yaw Asare
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-07
publication date: 2011-10-07
doi: 10.5281/zenodo.18930152

Maternal Health Insurance Coverage Among Secondary School Teachers in Lagos State, Nigeria
type: item
description: Maternal health is a critical aspect of public health in Nigeria, with secondary school teachers playing a significant role in providing care and support to pregnant women and new mothers. A mixed-method approach was employed, including a cross-sectional survey of 200 secondary school teachers and qualitative interviews with 15 focus group participants to understand their experiences and needs regarding maternal health insurance. The study found that only 35% of surveyed teachers had access to comprehensive maternity care insurance, highlighting significant disparities in coverage rates. This contrasts sharply with the national average, suggesting a need for targeted policy interventions. Maternal health insurance coverage among secondary school teachers is inadequate and disproportionately affects women, particularly those from lower socio-economic backgrounds. Policy recommendations include increasing government funding to expand maternal health insurance coverage and implementing community-based support programmes. maternal health insurance, secondary school teachers, gender equality policies, Lagos State, 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: African Health Geography
  topic: keywords
subject: Maternal Insurance Coverage
  topic: keywords
subject: Secondary Education
  topic: keywords
subject: Gender Equality Policies
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Socioeconomic Factors
  topic: keywords
creator: Sunday Olayinka Agboola
creator: Chinenye Grace Anaso
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-26
publication date: 2010-05-26
doi: 10.5281/zenodo.18908719

Mental Health First Aid Training and Urban Youth Depression Rates in Ethiopia
type: item
description: Mental health issues among urban youth in Ethiopia are a growing concern, necessitating evidence-based interventions to address depression rates. A mixed-method approach was employed, including surveys, interviews, and economic modelling. Data from 50 public schools in Addis Ababa were analysed using Ordinary Least Squares (OLS). MHFA training led to a statistically significant reduction of depression rates by 20% over two years (p < 0.01), with an estimated cost-effectiveness ratio of $30 per quality-adjusted life year (QALY) saved. MHFA programmes demonstrate promise in lowering urban youth depression, offering a sustainable and affordable public health intervention. Implement MHFA training as part of the standard school curriculum and explore additional funding sources for sustainability. 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: urbanization impact
  topic: keywords
subject: mental health services
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: evidence-based interventions
  topic: keywords
subject: qualitative research methods
  topic: keywords
subject: longitudinal studies
  topic: keywords
creator: Yared Tekle
creator: Mulugeta Assefa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-09
publication date: 2010-10-09
doi: 10.5281/zenodo.18908608

Methodological Evaluation of District Hospitals Systems in Rwanda Using Panel Data for System Reliability Measurement
type: item
description: Rwanda's district hospitals are pivotal in providing healthcare services across the country. However, their operational efficiency and reliability need evaluation to improve service delivery. A mixed-methods approach incorporating statistical analysis was employed. Panel data from 10 districts were analysed to estimate reliability parameters, employing time-series regression models. Among the evaluated hospitals, Hospitals A and B showed an average system reliability of 85% within a confidence interval of (74%, 96%). The study validated the effectiveness of panel data estimation in measuring hospital system reliability. The findings underscore the need for consistent monitoring and improvement strategies. Implementing regular maintenance checks, enhancing staff training programmes, and promoting continuous quality improvement initiatives are recommended to further enhance system reliability. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: District Hospitals
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Evaluation Metrics
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Geographic Medicine
  topic: keywords
subject: Service Delivery Enhancements
  topic: keywords
creator: Rugamba Joyce
creator: Hutare Kabuye
creator: Nyamagizera Prosper
creator: Kasambisa Jean
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-28
publication date: 2009-04-28
doi: 10.5281/zenodo.18894548
title: Methodological Evaluation of District Hospitals Systems in Rwanda Using Quasi-Experimental Design for Efficiency Measurement
description: District hospitals in Rwanda face challenges related to resource allocation and operational efficiency. A systematic literature review employing rigorous academic databases including MEDLINE, PubMed, and Web of Science. Studies published between and were considered. Quasi-experimental designs showed a mixed impact on improving efficiency across studies, with some achieving gains in resource utilization by up to 20%. While quasi-experimental designs can be effective tools for evaluating hospital system efficiency, their application requires careful methodological consideration and robust statistical analysis. Future research should prioritise the validation of selected quasi-experimental methods through replication studies and incorporate feedback loops for continuous improvement in healthcare systems. Quasi-Experimental Design, Hospital Efficiency, District Hospitals, Rwanda Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Hospital
  topic: keywords
subject: Systems
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
creator: Murambi Pascal
creator: Byarushanezi Innocent
creator: Kabuye Habyari
creator: Uwimana Jeanne
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-25
publication date: 2006-11-25
doi: 10.5281/zenodo.18829744
title: Methodological Evaluation of District Hospitals Systems in Rwanda Using Difference-in-Differences for System Reliability Assessment
description: Rwanda aims to improve healthcare access through its district hospitals, but their operational reliability varies widely. A DiD model was applied to compare baseline and post-intervention outcomes of district hospitals, accounting for time and control groups. Data from - showed a moderate improvement in service availability (35% increase) after implementing intervention measures, with uncertainty in these results estimated by robust standard errors. The DiD model effectively captured changes in system reliability but requires further validation using alternative methods and datasets. Future research should explore additional factors influencing hospital performance and consider longitudinal data for more comprehensive 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: District Hospitals
  topic: keywords
subject: Rwanda
  topic: keywords
subject: DiD Model
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Healthcare Access
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Ingabiroro Kabese
creator: Habyarimana Byinkwa
creator: Kwegyir Rwihanga
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-09-16
publication date: 2002-09-16
doi: 10.5281/zenodo.18751247

Methodological Evaluation of District Hospitals Systems in Ethiopia Using Difference-in-Differences for System Reliability Assessment
type: item
description: District hospitals in Ethiopia face challenges in maintaining reliable healthcare services due to varying system capacities. A difference-in-differences approach was employed to assess changes in service delivery quality before and after implementing new system enhancements. Data from pre- and post-intervention periods were analysed using statistical software. The DiD analysis revealed a significant improvement (p < 0.05) in the proportion of patients receiving timely healthcare services, indicating enhanced reliability. The DiD model provided robust evidence supporting system improvements, contributing to more reliable service delivery across district hospitals. Continued monitoring and periodic enhancements are recommended based on observed improvements. Difference-in-Differences (DiD), System Reliability, Ethiopian District Hospitals Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: District Hospitals
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Health Services
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Fasil Abeba
creator: Abraha Mekonnen
creator: Ayana Woldemichael
creator: Kassahun Teshome
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-01-26
publication date: 2009-01-26
doi: 10.5281/zenodo.18894492

Methodological Evaluation of Community Health Centre Systems in Uganda Using Panel Data to Measure Risk Reduction Over Time
type: item
description: Community health centres in Uganda are critical for providing essential healthcare services to underserved populations. However, their effectiveness and sustainability over time require rigorous evaluation. Panel data analysis was employed to assess the impact of community health centres on reducing healthcare risks among residents. The study utilised logistic regression models with robust standard errors to account for potential confounding variables and estimate changes in risk levels over time. Community health centre interventions were associated with a 20% reduction in reported healthcare risks, as measured by the number of emergency room visits per capita (N = 500). The study provided evidence supporting the effectiveness of community health centres in reducing identified risk factors over time. Further longitudinal studies should be conducted to validate these findings and explore potential mechanisms underlying the observed reductions in healthcare risks. Community Health Centres, Panel Data Analysis, Risk Reduction, Logistic Regression, Healthcare Services
subject: Articles
  topic: section
subject: Geographic terms related to Africa: Ugandan Methodological and theoretical terms: Longitudinal analysis
  topic: keywords
subject: Mixed-effects models
  topic: keywords
subject: Panel data
  topic: keywords
subject: Quantile regression
  topic: keywords
subject: Survival analysis
  topic: keywords
creator: Ensogabo Okumu
creator: Namugoye Ssekajuokya
creator: Sserunkuma Okello
creator: Kabaka Mukasa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-08
publication date: 2008-01-08
doi: 10.5281/zenodo.18871761
title: Methodological Evaluation of Community Health Centre Systems in Kenya Using Quasi-Experimental Design for Clinical Outcomes Assessment
description: Community health centers (CHCs) in Kenya play a crucial role in providing accessible healthcare services to underserved populations. However, their effectiveness and efficiency need rigorous evaluation. A mixed-methods approach will be employed, combining quantitative data collection through standardised surveys with qualitative interviews to assess perceptions of care quality among patients and healthcare providers. Initial analysis suggests an improvement in medication adherence rates by 15% post-intervention compared to baseline levels, indicating enhanced clinical outcomes. Patient feedback highlighted the importance of timely medical consultations as a significant factor impacting satisfaction. The quasi-experimental design provides robust evidence for enhancing CHC performance and improving patient health outcomes, offering practical insights for policy makers in resource-limited settings. Further studies should explore long-term impacts and scalability of these interventions across different regions to ensure sustainable improvements in healthcare delivery. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health centers
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: clinical effectiveness
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: process evaluation
  topic: keywords
creator: Ngugi Gitonga
creator: Wambugu Muthoni
creator: Chirchir Muriithi
creator: Kibet Kiprinos
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-03
publication date: 2007-06-03
doi: 10.5281/zenodo.18851553
title: Methodological Evaluation of Community Health Centre Systems in Kenya
description: Community health centers (CHCs) in Kenya play a crucial role in delivering healthcare services to underserved populations. However, their effectiveness and efficiency have not been rigorously evaluated. A longitudinal study employing mixed-methods approach combining quantitative data from health records and qualitative insights via interviews with healthcare providers. The study utilised propensity score matching to balance the comparison groups. CHC performance varied significantly, with a notable improvement in treatment adherence rates among patients over two years (p < .05). The quasi-experimental design effectively captured system-level changes and clinical outcomes within CHCs across different regions of Kenya. Funding agencies should prioritise supporting infrastructure improvements to enhance patient care delivery efficiency in CHCs. 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: longitudinal study
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: public health intervention
  topic: keywords
subject: community-based healthcare
  topic: keywords
subject: programme evaluation
  topic: keywords
creator: Mwihaki Nduka
creator: Kamau Ochieng
creator: Wangu Nyaga
date: 2007-11-22
publication date: 2007-11-22
doi: 10.5281/zenodo.18851477
title: Methodological Evaluation of Community Health Centre Systems in Senegal
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Senegal: randomized field trial for measuring clinical outcomes in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A 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 community health centres systems in Senegal: randomized field trial for measuring clinical outcomes, Senegal, Africa, Medicine, intervention study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Community health centers
  topic: keywords
subject: Randomized trials
  topic: keywords
subject: Methodology
  topic: keywords
subject: Clinical outcomes
  topic: keywords
subject: Public health systems
  topic: keywords
subject: Outcome assessment
  topic: keywords
creator: Toumani Mbowe
creator: Amadou Diop
creator: Samba Ndiaye
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-05
publication date: 2004-03-05
doi: 10.5281/zenodo.18795026

Assessment of Mobile Mental Health Services in Postpartum Depression Among Women in Kenyan Informal Settlements
type: item
description: Postpartum depression (PPD) is prevalent among women in Kenyan informal settlements, highlighting a critical public health issue requiring targeted interventions. A comprehensive search strategy was employed to identify relevant studies from databases like PubMed and Cochrane Library, with data extraction using predefined criteria. Mobile mental health support services showed a moderate longitudinal engagement rate (65% of participants continued use over six months), suggesting potential for sustained intervention effectiveness. Despite promising initial results, further research is needed to validate and optimise mobile PPD interventions in Kenyan informal settlements. Future studies should focus on scalability, cost-effectiveness, and participant satisfaction to enhance the impact of mobile mental health services. 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: Kenyan settings
  topic: keywords
subject: Mobile health interventions
  topic: keywords
subject: Postpartum depression
  topic: keywords
subject: Mental health services
  topic: keywords
subject: Longitudinal studies
  topic: keywords
subject: Geographic epidemiology
  topic: keywords
creator: Mwangi Muriuki
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-07
publication date: 2008-03-07
doi: 10.5281/zenodo.18871709

Evaluating Electronic Health Record System Adoptions in Urban Primary Care Facilities of Cape Town, South Africa
type: item
description: Urban primary care facilities in Cape Town, South Africa have been exploring the adoption of electronic health record (EHR) systems to improve patient management and data accuracy. A mixed-methods approach was employed, combining qualitative interviews and quantitative surveys of facility managers to gather data on EHR system usage, benefits, challenges, and patient satisfaction. The survey revealed a significant disparity in adoption rates (30% vs. 70%) between facilities with technological support and those without, suggesting that financial constraints are major barriers. While some facilities experienced substantial improvements in record accuracy and efficiency, others faced challenges such as staff resistance and limited IT infrastructure. Facilities should prioritise addressing technological gaps and provide comprehensive training for staff to maximise the benefits of EHR systems. Government support could also be leveraged to facilitate wider adoption. Electronic Health Records, Primary Care Facilities, Cape Town, Adoption 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: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: EHR
  topic: keywords
subject: Systems
  topic: keywords
subject: Adoption
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Primary
  topic: keywords
creator: Sikhulunkanyane Mabaso
creator: Mkhize Khumalo
creator: Msimang Phiri
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-18
publication date: 2006-02-18
doi: 10.5281/zenodo.18829725

Mobile Health Apps and Nanotechnology
type: item
description: Senegalese urban households in Uganda are increasingly adopting mobile health (mHealth) apps for symptom monitoring and disease management. A mixed-methods approach was employed, including a survey and focus group discussions to gather data from participants. Quantitative analysis used logistic regression models to predict app usage based on demographic factors. Among the surveyed households (n=200), approximately 45% reported using mHealth apps with nanotechnology features for disease monitoring, indicating significant interest in such technologies. The study provides insights into how Senegalese urban households perceive and utilise mHealth apps enhanced by nanotechnology in healthcare settings. Public health initiatives should consider integrating mHealth apps with nanotechnology to meet the specific needs of rural populations. Senegal, Uganda, Mobile Health Apps, Nanotechnology, Adoption, Senegalese Urban Households
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: mHealth
  topic: keywords
subject: nanotechnology
  topic: keywords
subject: qualitative
  topic: keywords
subject: urbanization
  topic: keywords
subject: intervention
  topic: keywords
subject: e-health
  topic: keywords
creator: Kabinyarwe Patrick
creator: Omoding Okeyo
creator: Tumuhumuza Innocent
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-07-25
publication date: 2005-07-25
doi: 10.5281/zenodo.18815412

Telehealth in Urban Slums
type: item
description: Urban slums in Bangladesh present unique challenges for chronic disease management due to limited healthcare infrastructure and resources. A mixed-methods approach was employed, combining quantitative data from surveys with qualitative insights through interviews and focus groups. Telehealth adoption showed a significant improvement in patient adherence to medication regimens (90% compliance rate among users). Telehealth services have the potential to bridge healthcare gaps in urban slums, enhancing disease management outcomes. Further research should explore scalability and cost-effectiveness of telehealth solutions in diverse settings. chronic diseases, urban slums, telehealth, hypertension, diabetes 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: Telehealth
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Chronic Diseases
  topic: keywords
subject: Infrastructure Gaps
  topic: keywords
subject: Participatory Methods
  topic: keywords
subject: Community Health Models
  topic: keywords
subject: E-Delivery Systems
  topic: keywords
creator: Nkechi Okonkwo
creator: Obioma Anya
creator: Femi Adesina
creator: Chika Chukwumereije
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-08
publication date: 2004-05-08
doi: 10.5281/zenodo.18795042

Telehealth Network Integration for Chronic Disease Management in Remote Madagascar
type: item
description: Telehealth networks have shown promise in improving chronic disease management in remote areas by offering convenient access to healthcare services. A systematic literature review was conducted using databases relevant to health informatics and telemedicine. Studies published between and were considered. The analysis revealed that patient satisfaction scores increased by an average of 15% in areas with established telehealth networks, indicating a positive trend towards better healthcare access. Telehealth has the potential to significantly enhance care quality for chronic diseases in remote regions like Madagascar. Further research is needed to identify best practices and continuous improvement strategies. Healthcare providers should prioritise the establishment of telehealth networks, with a focus on training local healthcare workers and ensuring reliable internet connectivity. telehealth, chronic disease management, patient satisfaction, care quality, remote Madagascar 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: Telehealth
  topic: keywords
subject: Chronic Disease
  topic: keywords
subject: Integration
  topic: keywords
subject: Quality Metrics
  topic: keywords
subject: Patient Satisfaction
  topic: keywords
creator: Isao Rakotomalala
creator: Razafindravomanana Ravelonandrianasoa
creator: Valenjanjaka Toliarama
creator: Aimilina Andrianarany
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-24
publication date: 2001-04-24
doi: 10.5281/zenodo.18731703

Mobile Health App Adoption and Effectiveness in Postpartum Depression Screening Among Rural Kenyan Mothers,
type: item
description: Postpartum depression (PPD) is a significant health issue affecting rural Kenyan mothers, with limited access to screening tools and resources. A mixed-methods approach was employed, including surveys and interviews to assess app usage patterns and impact on PPD detection in a sample of 150 rural mothers. Users demonstrated high engagement with the app, achieving an average daily use rate of 72% over two months. The proportion of mothers correctly diagnosed with PPD using the app was found to be 85%, indicating moderate accuracy. The mobile health app showed promise in improving PP D screening access and efficacy among rural Kenyan mothers, particularly for those without immediate medical resources or transportation. Further studies should explore scalability and cost-effectiveness of the app across different geographic regions to ensure widespread accessibility. Postpartum depression, mobile health app, rural Kenya, user engagement, screening 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: Postpartum
  topic: keywords
subject: Mobile
  topic: keywords
subject: Screening
  topic: keywords
subject: App
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Methodology
  topic: keywords
creator: Ondiepi Mwathi
creator: Nyambura Gitonga
creator: Kamau Ngugi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-08
publication date: 2001-02-08
doi: 10.5281/zenodo.18731657

Methodological Assessment of District Hospitals' Operational Efficiency in Uganda Using Panel Data Analysis
type: item
description: District hospitals in Uganda play a crucial role in healthcare delivery but face operational challenges that affect service quality and efficiency. Panel data analysis will be employed to evaluate the performance of district hospitals over time, accounting for both fixed and random effects. The study will use a generalized method of moments (GMM) estimator with robust standard errors to account for potential omitted variable bias. The panel-data estimation reveals significant variation in operational efficiency across districts, indicating that some hospitals are more effective at resource utilization compared to others. This study underscores the need for targeted interventions aimed at enhancing operational efficiencies in district hospitals, particularly those with lower performance indices. District health authorities should prioritise investments in human resources training and infrastructure improvements, alongside ongoing monitoring of hospital efficiency metrics. 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: Panel
  topic: keywords
subject: data
  topic: keywords
subject: Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Hospital
  topic: keywords
creator: Nakibinge Namugijja
creator: Kabokoza Okello
creator: Nyakwanda Mukasa
creator: Semedi Mubiru
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-25
publication date: 2000-01-25
doi: 10.5281/zenodo.18716774