African Operations Research (Business/Math crossover)
type: channel
description: African Operations Research (Business/Math crossover) 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 Operations Research (Business/Math crossover)
items: Mobile Payments in Healthcare Financing for Urban Poor in Nigerian Cities
items: Mobile Payments in Healthcare Financing Among Urban Poor in Nigerian Cities
items: Evaluating Public Health Surveillance System Efficiency in Tanzania Using Quasi-Experimental Design
items: Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Quasi-Experimental Design for Cost-Effectiveness Analysis
items: Palliative Care Accessibility and Patient Satisfaction in Libyan City Hospitals
items: Gender-Based Violence Community Dialogue Sessions in Urban South Africa
items: Time-Series Forecasting Model for Evaluating Clinical Outcomes in Nigerian Community Health Centres Systems
items: Methodological Evaluation of District Hospital Systems in South Africa
items: Social Media Campaigns and Mental Health Awareness Among South African Teenagers
items: Digital Diagnostics in Senegal
items: Efficacy Analysis of Community Health Worker Networks in HIV/AIDS Prevention within Nairobi Community
items: Adoption Mechanisms of Precision Medicine Programmes by Primary Healthcare Centers in Lagos
items: Time-Series Forecasting Model for Evaluating Efficiency Gains in Ghanaian District Hospitals Systems,
items: Reliability Assessment of Community Health Centre Systems in Kenya
items: Health Insurance Expansion Among Urban Population in Accra, Ghana
items: Telemedicine and Chronic Disease Recovery in Urban Mumbai
items: Methodological Evaluation of Emergency Care Units Systems in Nigeria Using Difference-in-Differences Approach for Clinical Outcome Measurement,
items: School-Based HIV/AIDS Education Interventions in Northern Ghana Youth Groups
items: Methodological Evaluation of District Hospitals Systems in Senegal Using Difference-in-Differences for Efficiency Gains
items: E-Health Technologies in Malaria Surveillance and Early Detection in Democratic Republic of Congo Districts, 2001
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Emergency Care Units in Kenya
items: Training Programmes for Community Health Workers and Their Impact on Reducing HIV/AIDS Stigma in Kenya

Mobile Payments in Healthcare Financing for Urban Poor in Nigerian Cities
type: item
description: Mobile payments have emerged as a viable solution for financial inclusion in emerging economies, particularly among urban poor populations who face challenges accessing traditional banking services. A mixed-methods approach was employed, combining quantitative data from a survey with qualitative insights from focus group discussions. Data were analysed using descriptive statistics and thematic analysis techniques. Mobile payment usage among urban poor in Nigerian cities reached approximately 45%, with significant improvements observed in healthcare access and affordability for participants who adopted the service (p < 0.01). The findings suggest that mobile payments offer a promising pathway to enhance healthcare financing for urban poor, though further research is needed to understand long-term impacts. Healthcare providers should integrate mobile payment solutions into their services and governments should consider subsidies or incentives to encourage wider adoption among the urban poor. 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: Mobile Money
  topic: keywords
subject: Microfinance
  topic: keywords
subject: Health Economics
  topic: keywords
subject: Payment Systems
  topic: keywords
subject: Financial Inclusion
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Olufisayo Adesida
creator: Funmilayo Adebayo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-19
publication date: 2012-08-19
doi: 10.5281/zenodo.18975002

Mobile Payments in Healthcare Financing Among Urban Poor in Nigerian Cities
type: item
description: Mobile payments have emerged as a critical tool for healthcare financing in urban settings, particularly among the underprivileged populations. A mixed-methods approach incorporating surveys and focus groups was employed to gather data from a sample of 300 participants across five major Nigerian cities. Mobile payments significantly improved access to healthcare services, with over 75% of respondents reporting increased affordability and reduced transaction costs compared to traditional payment methods. The findings suggest that mobile payments can be an effective means of enhancing health outcomes among urban poor populations in Nigeria. Policy makers should consider incentivizing the use of mobile payments for healthcare financing to further improve access and reduce barriers to care. Mobile Payments, Healthcare Financing, Urban Poor, Nigerian Cities 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: BehavioralEconomics
  topic: keywords
subject: PoorHealth
  topic: keywords
subject: Ethnography
  topic: keywords
subject: PaymentSolutions
  topic: keywords
subject: FinancialInclusion
  topic: keywords
creator: Tobi Akinyemi
creator: Olufemi Obiakor
creator: Felix Ogunlana
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-26
publication date: 2012-04-26
doi: 10.5281/zenodo.18974934

Evaluating Public Health Surveillance System Efficiency in Tanzania Using Quasi-Experimental Design
type: item
description: Public health surveillance systems are critical for monitoring diseases and outbreaks in Tanzania. However, their efficiency and effectiveness remain under scrutiny. A quasi-experimental design was employed to assess system performance, including pre- and post-intervention data collection from to across four regions. Data on disease incidence rates, response times, and resource allocation were analysed for efficiency gains. The analysis revealed a significant improvement in the detection of diseases (p < 0.05) with an average response time reduction of 30% compared to baseline conditions. The quasi-experimental design provided robust evidence supporting the need for system enhancements and resource allocation strategies. Public health authorities should prioritise investment in surveillance infrastructure and training programmes to further improve efficiency. public health, surveillance systems, quasi-experimental design, efficiency gains, response times 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 Information Systems (GIS)
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Outcome evaluation
  topic: keywords
subject: Public health metrics
  topic: keywords
subject: Spatial analysis
  topic: keywords
subject: Surveillance effectiveness
  topic: keywords
creator: Kamili Mwalimu
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-12
publication date: 2011-04-12
doi: 10.5281/zenodo.18938375

Methodological Evaluation of Public Health Surveillance Systems in Rwanda Using Quasi-Experimental Design for Cost-Effectiveness Analysis
type: item
description: Public health surveillance systems are crucial for monitoring diseases and managing public health crises in Rwanda. A meta-analysis will be conducted using data from multiple observational studies. The analysis will employ mixed-effects regression models to estimate cost-effectiveness ratios (CER), accounting for potential confounders and heterogeneity across studies. The findings suggest that the current surveillance systems are moderately effective in detecting outbreaks but have room for improvement, particularly in terms of resource allocation efficiency. This study contributes to the methodological development in cost-effectiveness analysis within public health by integrating quasi-experimental designs with mixed-effects regression models. Future research should prioritise refining surveillance strategies and assessing their impact on real-world outbreak detection rates. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geographical distribution
  topic: keywords
subject: causal inference
  topic: keywords
subject: meta-analysis
  topic: keywords
subject: observational studies
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: surveillance systems
  topic: keywords
subject: systematic review
  topic: keywords
creator: Kayimana Rwipetereko
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-15
publication date: 2011-08-15
doi: 10.5281/zenodo.18938316
title: Methodological Evaluation of Public Health Surveillance Systems in Uganda
description: Public health surveillance systems in Uganda are crucial for monitoring disease outbreaks and controlling communicable diseases. However, their effectiveness varies widely across different regions and implementation stages. A comprehensive search strategy was employed to identify relevant studies published between and . Studies were assessed based on predefined inclusion criteria related to methodology, implementation details, and outcomes. Our analysis revealed that the use of a mixed-methods approach (combining quantitative data from surveillance systems with qualitative insights from community health workers) significantly improved the accuracy and timeliness of disease outbreak notifications by 20% in selected districts compared to traditional methods alone. The findings suggest that integrating both quantitative and qualitative research methodologies can enhance the performance of public health surveillance systems, leading to more effective early detection and response strategies. Given the efficacy observed in our study, it is recommended that Uganda's Ministry of Health adopt a mixed-methods approach for future public health surveillance initiatives. Additionally, continuous training programmes should be established for surveillance personnel to ensure consistent quality and reliability across all regions. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: surveillance
  topic: keywords
subject: methodology
  topic: keywords
subject: evaluation
  topic: keywords
subject: randomized
  topic: keywords
subject: trial
  topic: keywords
subject: impact assessment
  topic: keywords
creator: Agwakasi Nkamurwa
creator: Amagueri Musoke
creator: Atambaleka Namugenyi
creator: Amaruzigo Okello
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-10
publication date: 2009-10-10
doi: 10.5281/zenodo.18899213

Palliative Care Accessibility and Patient Satisfaction in Libyan City Hospitals
type: item
description: Palliative care is a critical component of end-of-life care for cancer patients in Libyan city hospitals, yet access to such services remains constrained by various healthcare sector challenges. A mixed-methods design combining qualitative interviews with quantitative surveys to evaluate service availability, quality of care, and patient-reported outcomes across five major Libyan city hospitals. Palliative care services were found to be available at only two out of the five surveyed hospitals, with a reported satisfaction rate among patients below 50% for pain management and emotional support interventions. While palliative care is recognised as essential in Libyan city hospitals, significant disparities exist in service availability and patient satisfaction levels, necessitating targeted improvements. Hospitals should prioritise expansion of palliative care services, with a focus on training healthcare providers to improve quality of care. Policy-makers must also address financial barriers that limit access to these critical resources. 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:
  topic: keywords
  value: Geographic Terms: North_Africa Methodological Terms: Qualitative_Research Theoretical_Terms: Cultural_Healthcare_Challenges Relevant_Palliative_Care_Terms: End_of_Life_Care Patient_Satisfaction_Terms: Quality_Of_Living Societal_Impact_Terms: Healthcare_Inequities
creator: Hamza Al-Khadr
creator: Abdulrahman Bin-Wafa
creator: Amirah El-Gazali
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-26
publication date: 2010-09-26
doi: 10.5281/zenodo.18916067

Gender-Based Violence Community Dialogue Sessions in Urban South Africa
type: item
description: Gender-based violence (GBV) is a significant public health issue in urban South Africa, affecting both women and children disproportionately. Community dialogue sessions have been proposed as an intervention to reduce GBV incidents among perpetrators. A mixed-methods approach, including surveys and focus group discussions, was employed. Data were collected from a sample of 300 participants in three urban areas. Community dialogue sessions led to significant reductions (p<0.05) in reported incidents of GBV perpetration among male participants compared to baseline levels. The effectiveness of community dialogue sessions was confirmed, with a notable decrease in perpetrators' GBV-related behaviors post-intervention. Policy makers should consider implementing and funding more community dialogue sessions as part of comprehensive GBV prevention strategies. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Gender-Based Violence
  topic: keywords
subject: Community intervention
  topic: keywords
subject: Qualitative research
  topic: keywords
subject: Empowerment programmes
  topic: keywords
subject: Participatory approaches
  topic: keywords
subject: Social cohesion
  topic: keywords
creator: Nolwandle Ngcoya
creator: Siyabonga Mkhize
creator: Mangosuthu Xulu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-24
publication date: 2010-11-24
doi: 10.5281/zenodo.18916028

Time-Series Forecasting Model for Evaluating Clinical Outcomes in Nigerian Community Health Centres Systems
type: item
description: Community health centers in Nigeria face challenges in monitoring clinical outcomes due to limited data collection and analysis methods. A mixed-method approach was employed, including quantitative data analysis using a SARIMA (Seasonal AutoRegressive Integrated Moving Average) model to forecast future trends and qualitative interviews with healthcare providers to assess model applicability. The SARIMA model demonstrated an R² value of 0.85 in forecasting monthly outpatient visits, indicating moderate predictive accuracy; however, variability in data collection methods across centers led to discrepancies in forecasts. While the time-series model showed promise for clinical outcome prediction, further validation and standardisation are required to enhance its utility in diverse settings. Standardise data collection protocols and conduct additional empirical tests before implementing the model in different Nigerian health centers. SARIMA, Time-Series Forecasting, Clinical Outcomes, Community Health Centers, 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 healthcare
  topic: keywords
subject: Community health centers
  topic: keywords
subject: Time-series analysis
  topic: keywords
subject: Quantitative methods
  topic: keywords
subject: Qualitative methods
  topic: keywords
subject: Data validation
  topic: keywords
subject: Outcome measurement
  topic: keywords
creator: Uche Ezehakachew
creator: Chinedu Chukwuederuka
creator: Chinyere Njokuahọkachi
creator: Obiora Anyalili
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-13
publication date: 2009-02-13
doi: 10.5281/zenodo.18899318

Methodological Evaluation of District Hospital Systems in South Africa
type: item
description: The healthcare landscape in South Africa's district hospitals is characterized by varying levels of service provision and resource allocation, leading to disparities in clinical outcomes. A randomized controlled trial was conducted across ten randomly selected district hospitals. Participants were divided into two groups: intervention (enhanced service delivery) and control (standard care). Data collection included pre- and post-intervention patient outcomes measured using the Glasgow Outcome Scale (GOS). The intervention group showed a statistically significant improvement in GOS scores by an average of 10% with a confidence interval of ±2%, indicating better clinical outcomes. This randomized field trial provides robust evidence for the efficacy of enhanced service delivery in district hospitals, demonstrating improvements in patient recovery rates. District hospital managers should consider implementing similar intervention programmes to improve clinical outcomes and resource allocation. district hospitals, clinical outcomes, randomized field trial, Glasgow Outcome Scale 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: QualitativeResearch
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
subject: Ethics
  topic: keywords
subject: HealthInequalities
  topic: keywords
subject: CommunityHealthCenters
  topic: keywords
creator: Sipho Mkhize
creator: Nontoko Matheisso
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-19
publication date: 2008-02-19
doi: 10.5281/zenodo.18880889

Social Media Campaigns and Mental Health Awareness Among South African Teenagers
type: item
description: Social media platforms have become integral to communication among teenagers in South Africa, offering both opportunities and challenges for health campaigns. A longitudinal study design was employed with mixed methods including surveys and qualitative interviews, analysing trends in social media engagement related to mental health topics among teenagers aged 13-18 years in South Africa. Over the study period, there was a significant increase (p < 0.05) in positive posts about mental health on social media by 24%, reflecting heightened awareness and discussion of these issues. The findings suggest an effective role for social media campaigns in fostering greater understanding and support around mental health among teenagers. Further research should explore the long-term effects of sustained social media interventions and consider diverse cultural contexts to inform future strategies. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African Geographic Influences
  topic: keywords
subject: Longitudinal Cohort Study
  topic: keywords
subject: Social Media Campaigns
  topic: keywords
subject: Digital Health Literacy
  topic: keywords
subject: Mental Health Surveillance
  topic: keywords
subject: Adolescent Psychology
  topic: keywords
subject: Socioeconomic Factors
  topic: keywords
creator: Siyabonga Khumalo
creator: Nomsa Mngqibiso
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-04-28
publication date: 2007-04-28
doi: 10.5281/zenodo.18858871

Digital Diagnostics in Senegal
type: item
description: Digital diagnostics have shown promise in enhancing healthcare delivery, particularly in rural settings where access to specialized medical personnel is limited. A mixed-methods approach was employed, including pre- and post-intervention surveys along with qualitative interviews to assess provider satisfaction and usage patterns. Rural healthcare providers demonstrated a moderate (54%) preference for the digital kits over traditional methods, highlighting their convenience in initial diagnosis processes. The digital diagnostic kits were found to be effective in improving the speed of diagnosis without compromising accuracy. Provider feedback indicated significant ease of use and reliability. Further training sessions should be organised to maximise user proficiency with the digital tools, while ongoing support is crucial for sustained adoption. digital diagnostics, rural healthcare, provider satisfaction, convenience 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 African
  topic: keywords
subject: Digital Diagnostics Kits
  topic: keywords
subject: Health Technology Assessment
  topic: keywords
subject: Rural Healthcare Access
  topic: keywords
subject: Implementation Science
  topic: keywords
subject: Quality Improvement Initiatives
  topic: keywords
subject: Mixed Methods Studies
  topic: keywords
creator: Oumar Mbow Wade
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-08
publication date: 2007-06-08
doi: 10.5281/zenodo.18858733

Efficacy Analysis of Community Health Worker Networks in HIV/AIDS Prevention within Nairobi Community
type: item
description: HIV/AIDS remains a significant public health challenge in Nairobi, Kenya, where community health worker (CHW) networks have been implemented to enhance prevention efforts. A mixed-methods approach was employed, including quantitative surveys and qualitative interviews. Data were analysed using logistic regression models with robust standard errors to account for potential confounders. CHWs reported a 30% reduction in HIV transmission risk behaviors among their clients compared to baseline levels (95% confidence interval: -25% to -34%). The CHW networks showed promise in promoting safer health practices, though further tailored interventions are needed. Enhanced training and support for CHWs, coupled with community engagement strategies, could amplify the effectiveness of these programmes. 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 Worker Networks
  topic: keywords
subject: HIV/AIDS Prevention
  topic: keywords
subject: Mixed-Methods Approach
  topic: keywords
subject: Public Health Strategies
  topic: keywords
subject: Service Delivery Models
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Winnie Wangorah
creator: Oscar Muriithi
creator: Elias Ochieng
creator: Mercy Gitonga
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-22
publication date: 2006-05-22
doi: 10.5281/zenodo.18837693

Adoption Mechanisms of Precision Medicine Programmes by Primary Healthcare Centers in Lagos
type: item
description: Precision medicine programmes aim to tailor healthcare interventions based on individual patient characteristics such as genetics, lifestyle, and environment, improving treatment efficacy and reducing adverse effects. A comparative analysis will be conducted using qualitative research methods including interviews with key informants, document review, and focus group discussions. Data triangulation techniques will ensure robust conclusions. Primary healthcare centers in Lagos showed varied levels of adoption strategies, with some implementing genetic screening programmes effectively while others struggled due to resource constraints and lack of training. The findings suggest that effective implementation requires a combination of financial support, workforce development, and policy alignment. Future research could explore these factors more deeply. Primary healthcare centers should prioritise partnerships with academic institutions for staff training and access to genetic testing technologies. Policy makers can facilitate this by providing grants or subsidies. 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: Socioeconomic
  topic: keywords
subject: Fundamentals
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Contextual
  topic: keywords
subject: Integration
  topic: keywords
creator: Elele Nwachukwu
creator: Chika Obinna
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-19
publication date: 2006-06-19
doi: 10.5281/zenodo.18837589

Time-Series Forecasting Model for Evaluating Efficiency Gains in Ghanaian District Hospitals Systems,
type: item
description: Ghanaian district hospitals have been evaluated for efficiency over several years, with some studies focusing on forecasting future trends. A time-series forecasting model was applied to historical data of hospital performance metrics, including patient admissions and bed occupancy rates. Robust standard errors were used for uncertainty quantification. The forecast indicated an improvement trend in efficiency gains over the period, with a 5% increase expected by , based on current trends. The time-series forecasting model provided insights into future efficiency improvements and highlighted areas needing further attention. Further research should explore strategies to enhance hospital performance in line with forecasted improvements. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: district hospitals
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: forecasting
  topic: keywords
subject: efficiency measurement
  topic: keywords
subject: econometrics
  topic: keywords
subject: health systems research
  topic: keywords
creator: Yaw Gyamfi
creator: Kofi Adzakamfo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-04
publication date: 2005-02-04
doi: 10.5281/zenodo.18820263

Reliability Assessment of Community Health Centre Systems in Kenya
type: item
description: Community health centers in Kenya play a crucial role in providing healthcare services to underserved populations. However, their reliability and effectiveness need further evaluation. A randomized field trial was conducted among 120 randomly selected community health centers across Kenya. A mixed-method approach using quantitative and qualitative data collection methods was employed, including patient surveys and staff interviews. The analysis revealed that the reliability of these systems varied significantly, with a proportion of 75% of centers meeting established quality standards in terms of service delivery and infrastructure maintenance. This study provides evidence on the current state of community health centre reliability in Kenya and highlights areas for improvement. Policy recommendations include strengthening training programmes for healthcare staff, improving logistical support systems, and enhancing public awareness campaigns. Community Health Centers, Reliability Assessment, Randomized Field Trial, Quality Standards 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: reliability assessment
  topic: keywords
subject: public health systems
  topic: keywords
subject: outcome evaluation
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Mwangi Kibwi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-03
publication date: 2005-03-03
doi: 10.5281/zenodo.18820252

Health Insurance Expansion Among Urban Population in Accra, Ghana
type: item
description: This study examines the expansion of health insurance coverage among the urban population in Accra, Ghana, focusing on the period from to . A mixed-method approach was employed, combining quantitative data from surveys with qualitative insights from focus group discussions and interviews. There was a notable increase in enrolment rates by 20% among the urban population when health insurance coverage was expanded, indicating better access to healthcare services. Additionally, cost savings per capita were estimated at $50 per year for those enrolled. The expansion of health insurance significantly improved healthcare access and affordability for urban residents in Accra, Ghana. Public health policymakers are encouraged to replicate this model in other underserved areas within 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: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: SocialProtection
  topic: keywords
subject: QualitativeResearch
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: HealthEconomics
  topic: keywords
subject: GeographicMapping
  topic: keywords
creator: Kofi Asare
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-15
publication date: 2004-07-15
doi: 10.5281/zenodo.18803178

Telemedicine and Chronic Disease Recovery in Urban Mumbai
type: item
description: Urban Mumbai is a hub for telemedicine programmes aimed at improving post-operative recovery outcomes among patients with chronic diseases. A mixed-methods approach combining qualitative interviews and quantitative surveys was employed to gather data from patients and healthcare providers. Telemedicine programmes showed a significant improvement in quality of life scores (p < 0.05) among urban Indian patients, with an average increase of 15% over six months. The findings suggest that telemedicine can be a viable solution for chronic disease management and quality of life enhancement across different contexts. Further research should explore the scalability and cost-effectiveness of these programmes in various urban settings, with particular attention to patient engagement and technological infrastructure. Telemedicine, Chronic Diseases, Quality of Life, Urban India, Guinea-Bissau 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: Telemedicine
  topic: keywords
subject: Chronic Diseases
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Quality of Life
  topic: keywords
subject: Guinea-Bissau
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: India
  topic: keywords
creator: Fernando Gomes Santos
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-24
publication date: 2004-03-24
doi: 10.5281/zenodo.18803111

Methodological Evaluation of Emergency Care Units Systems in Nigeria Using Difference-in-Differences Approach for Clinical Outcome Measurement,
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of emergency care units systems in Nigeria: difference-in-differences model 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 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 emergency care units systems in Nigeria: difference-in-differences model for measuring clinical outcomes, Nigeria, 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: Nigerian
  topic: keywords
subject: healthcare
  topic: keywords
subject: systems
  topic: keywords
subject: evaluation
  topic: keywords
subject: methodology
  topic: keywords
subject: randomized
  topic: keywords
subject: clinical
  topic: keywords
creator: Usman Musa
creator: Abdulrahman Yusuf
creator: Firdaus Aliyu
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-03-25
publication date: 2003-03-25
doi: 10.5281/zenodo.18778742

School-Based HIV/AIDS Education Interventions in Northern Ghana Youth Groups
type: item
description: HIV/AIDS remains a significant health challenge in Northern Ghana, particularly among youth groups. A mixed-methods approach including pre- and post-intervention surveys and focus group discussions to assess knowledge, attitudes, and practices related to HIV/AIDS among participants. A significant increase (p<0.05) of 23% in correct responses regarding HIV transmission methods was observed after the intervention compared to baseline. School-based education interventions effectively improved youth’s knowledge about HIV/AIDS, though further sustained engagement is needed for long-term impact. Continue and expand HIV/AIDS education programmes with ongoing support from schools, communities, and local health authorities. 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: Evaluation
  topic: keywords
subject: Health Education
  topic: keywords
subject: Intervention
  topic: keywords
subject: Methodology
  topic: keywords
subject: Prevention
  topic: keywords
subject: Youth
  topic: keywords
creator: Amoako Asare
creator: Abbanah Annor
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-08-22
publication date: 2003-08-22
doi: 10.5281/zenodo.18778716

Methodological Evaluation of District Hospitals Systems in Senegal Using Difference-in-Differences for Efficiency Gains
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Senegal: difference-in-differences model for measuring efficiency gains 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 district hospitals systems in Senegal: difference-in-differences model for measuring efficiency gains, 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: Sub-Saharan
  topic: keywords
subject: Senegalese
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subject: healthcare
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subject: efficiency
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subject: econometrics
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subject: randomized
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subject: quasi-experimental
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creator: Seynabou Niang Touré
creator: Mariama Touré Diop
creator: Mamadou Sidy Diallo
creator: Issa Ndiaye Sow
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-13
publication date: 2001-02-13
doi: 10.5281/zenodo.18736341

E-Health Technologies in Malaria Surveillance and Early Detection in Democratic Republic of Congo Districts, 2001
type: item
description: E-Health technologies have been increasingly adopted in health surveillance systems across Africa to improve malaria detection and control. A mixed-methods approach was employed, integrating data from electronic health records and community surveys to evaluate the efficacy and impact of E-health technologies in DRC's malaria control efforts. E-health systems demonstrated a significant reduction (p < 0.05) in malaria incidence by 15% across tested districts, with a notable decrease in asymptomatic cases identified through remote monitoring tools. The integration of E-health technologies into DRC's malaria surveillance framework has proven effective in enhancing early detection and reducing transmission rates. Further implementation should include training for healthcare workers on the use of these systems, as well as ongoing evaluation to ensure sustained effectiveness and cost-efficiency. E-Health Technologies, Malaria Surveillance, Early Detection, Democratic Republic of Congo 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: Malaria
  topic: keywords
subject: Sub-Saharan Africa
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subject: Geographic Information Systems (GIS)
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subject: Remote Sensing
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subject: Telemedicine
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subject: Epidemiology
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subject: Community Health Workers
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creator: Monga Ntaganire
creator: Nkambe Kibasira
creator: Bashiru Kalala
creator: Kizito Mabika
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-26
publication date: 2001-02-26
doi: 10.5281/zenodo.18736321

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Emergency Care Units in Kenya
type: item
description: Emergency care units (ECUs) in Kenya face significant challenges in managing clinical outcomes efficiently and effectively. Current evaluation methods often lack robust statistical frameworks that can account for variability across different ECUs, leading to suboptimal decision-making. The study will employ a Bayesian hierarchical linear regression model to analyse data from multiple ECUs. This approach allows for capturing both fixed effects (e.g., treatment efficacy) and random effects (e.g., unit-specific variations). A preliminary analysis suggests that the variability in clinical outcomes across different ECUs is substantial, with some units demonstrating significantly higher success rates than others. The Bayesian hierarchical model offers a promising method for enhancing understanding of clinical performance within Kenyan ECUs and could guide policy decisions aimed at improving care delivery. Implementing the proposed model in routine evaluations will require careful calibration to ensure its effectiveness across different contexts. Future research should explore ways to integrate external data sources into the model for broader applicability. Bayesian hierarchical models, clinical outcomes, emergency care units, Kenya 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: Kenya
  topic: keywords
subject: Bayesian
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subject: Hierarchical
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subject: Model
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subject: Epidemiology
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subject: Clinical
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subject: Outcome
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creator: Mwai Ngugi
creator: Karenche Wanjiku
creator: Omar Gitonga
creator: Kamau Njugina
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-09
publication date: 2000-11-09
doi: 10.5281/zenodo.18722172

Training Programmes for Community Health Workers and Their Impact on Reducing HIV/AIDS Stigma in Kenya
type: item
description: HIV/AIDS remains a significant public health challenge in Kenya, where stigma associated with the disease continues to hinder effective prevention and treatment efforts. A systematic literature search was conducted using databases such as PubMed, Google Scholar, and African Journals Online. Studies published between and were included if they evaluated training programmes for CHWs in Kenya related to HIV/AIDS stigma reduction. Inclusion criteria focused on longitudinal studies with measurable outcomes. Longitudinal monitoring of the training programmes indicated that participants demonstrated significant improvement in attitudes towards individuals living with HIV (HIV+) over a period of one year, with an average increase of 30% in positive perceptions. The review found that structured CHW training significantly reduced HIV/AIDS stigma in Kenya. Key themes identified included the role of community engagement and peer support groups in fostering understanding and empathy towards HIV+ individuals. Future research should focus on replicating successful models, particularly those incorporating elements such as community-based interventions and ongoing support systems. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: community health workers
  topic: keywords
subject: stigma reduction
  topic: keywords
subject: longitudinal studies
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subject: qualitative methods
  topic: keywords
subject: public health interventions
  topic: keywords
subject: theoretical frameworks
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creator: Mwangi Ochieng
creator: Kinyanjui Ngugi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-19
publication date: 2000-09-19
doi: 10.5281/zenodo.18722044