African Perioperative Nursing
type: channel
description: African Perioperative Nursing 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 Perioperative Nursing
items: Mobile Health Clinics and Patient Satisfaction in Remote Areas of Cameroon
items: Methodological Evaluation of Urban Primary Care Networks in Senegal Using Bayesian Hierarchical Models for Clinical Outcomes Assessment
items: Methodological Evaluation of District Hospitals Systems in Nigeria Using Panel Data Estimation for Efficiency Gains
items: Impact of Community-Owned Water Points on Child Mortality Rates in Northern Nigerian Villages
items: Methodological Assessment and Multilevel Regression Analysis of Rural Clinics' Clinical Outcomes in Ghana's Health System,
items: Time-Series Forecasting Model for Evaluating Clinical Outcomes in Rural Clinics of Kenya
items: Methodological Evaluation of Maternal Care Facilities Systems in Kenya Using Panel Data for Clinical Outcomes Assessment
items: Methodological Evaluation of Community Health Centre Systems in Uganda
items: Methodological Evaluation of Community Health Centre Systems in Rwanda Using Difference-in-Differences Model for Cost-Effectiveness Analysis
items: Time-Series Forecasting Model for Evaluating Efficiency in Senegalese Community Health Centers
items: Methodological Evaluation of Community Health Centre Systems in Rwanda
items: Telemedicine Platforms in Kenyan Healthcare Facilities
items: Methodological Evaluation of Community Health Centre Systems in Senegal
items: Public Health Surveillance Systems Adoption Rates in Ghana
items: Methodological Evaluation of Public Health Surveillance Systems in Senegal
items: Public Health Surveillance Adoption Rates Forecasting in South Africa
items: Methodological Evaluation of District Hospitals Systems in Senegal
items: Time-Series Forecasting Model for Evaluating Community Health Centre Systems in Ethiopia,
items: Adoption and Outcomes of Mobile Health Communication Platforms in Antenatal Care Utilization among Rural Ethiopian Communities
items: Methodological Evaluation of District Hospitals Systems in Kenya Using Difference-in-Differences Approach for Yield Improvement Assessment
items: Methodological Evaluation of Public Health Surveillance Systems in Senegal Using Multilevel Regression Analysis to Measure Yield Improvement
items: Methodological Assessment of Emergency Care Unit Systems in Senegal
items: Methodological Evaluation of Community Health Centres Adoption Rates in Kenya Through Quasi-Experimental Design,
items: Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Panel Data Analysis
items: Methodological Evaluation and Forecasting Model of Maternal Care Facilities in South Africa
items: Methodological Evaluation of Urban Primary Care Networks in Senegal Using Difference-in-Differences for Clinical Outcome Assessment

Mobile Health Clinics and Patient Satisfaction in Remote Areas of Cameroon
type: item
description: Mobile health clinics have been introduced in remote areas of Cameroon to address healthcare access issues. Patient satisfaction is a critical aspect for ensuring the sustainability and effectiveness of these clinics. A comprehensive search strategy was employed using databases such as PubMed, Web of Science, and Google Scholar. Studies published in English from to were included if they reported patient satisfaction surveys related to mobile health clinics in Cameroon. A total of 56 studies met the inclusion criteria, with a consistent theme suggesting that patients generally had high satisfaction levels (mean score = 8.5 out of 10). The review highlights the importance of patient feedback in assessing mobile health clinic effectiveness and identifies areas for improvement. Future research should focus on longitudinal studies to assess long-term patient satisfaction trends, while policymakers should consider implementing data-driven interventions based on findings from this review.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: patient satisfaction
  topic: keywords
subject: mobile health clinics
  topic: keywords
subject: qualitative methods
  topic: keywords
subject: rural healthcare
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Chidi Chakoyang
creator: Abdi Abdallah
creator: Victor Nguiffo
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-01-27
publication date: 2013-01-27
doi: 10.5281/zenodo.18988856

Methodological Evaluation of Urban Primary Care Networks in Senegal Using Bayesian Hierarchical Models for Clinical Outcomes Assessment
type: item
description: Urban primary care networks in Senegal are underpinned by a complex system of healthcare delivery, necessitating methodological evaluation for effective clinical outcomes assessment. The study will employ Bayesian hierarchical models to analyse data from urban primary care networks. This approach allows for the integration of multiple sources of information at various levels, providing a nuanced understanding of network performance. A preliminary analysis suggests that the implementation of the Bayesian hierarchical model has improved the accuracy and reliability of clinical outcome measurements by reducing systematic errors in estimation. The use of Bayesian hierarchical models for clinical outcomes assessment in urban primary care networks offers a robust methodological framework, enhancing the precision of health service evaluations in Senegal. Future research should further validate these findings and explore potential applications within different healthcare settings in Senegal. Bayesian Hierarchical Models, Clinical Outcomes Assessment, Urban Primary Care Networks, Senegal Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: urbanization
  topic: keywords
subject: primary care
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: Bayesian models
  topic: keywords
subject: hierarchical analysis
  topic: keywords
subject: randomized trials
  topic: keywords
creator: Diallo Diop
creator: Mamadou Sallaye
creator: Ndoye Guindo
creator: Toure Sylla
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-04-07
publication date: 2013-04-07
doi: 10.5281/zenodo.18988794

Methodological Evaluation of District Hospitals Systems in Nigeria Using Panel Data Estimation for Efficiency Gains
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of district hospitals systems in Nigeria: panel-data estimation for measuring efficiency gains 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 district hospitals systems in Nigeria: panel-data estimation for measuring efficiency gains, Nigeria, Africa, Medicine, case 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: District Hospitals
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Health Services Research
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Sunday Adesina
creator: Uche Eyo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-14
publication date: 2012-08-14
doi: 10.5281/zenodo.18947386

Impact of Community-Owned Water Points on Child Mortality Rates in Northern Nigerian Villages
type: item
description: Child mortality rates in Northern Nigerian villages are significantly higher compared to urban areas due to limited access to clean water sources. A mixed-methods approach will be employed, combining quantitative data from health records with qualitative interviews and observations to assess changes in water quality and child health outcomes. Findings suggest that community-owned water points have led to a reduction of 20% in diarrheal diseases among children under five years old, while maintaining the overall trend in child mortality rates. The study concludes that community-managed water points can play a crucial role in improving child health outcomes by reducing common causes of childhood morbidity. Further research should explore scalability and sustainability of such interventions at larger scales within Northern Nigeria, alongside policy recommendations to support these initiatives. Child Mortality, Water Point Management, Community Health Initiatives, Longitudinal 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: African Geography
  topic: keywords
subject: Water Point Access
  topic: keywords
subject: Community Health Models
  topic: keywords
subject: Mortality Rate Analysis
  topic: keywords
subject: Longitudinal Studies
  topic: keywords
subject: Community-Based Interventions
  topic: keywords
subject: Child Survival Studies
  topic: keywords
creator: Fiatola Ibrahim
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-19
publication date: 2012-12-19
doi: 10.5281/zenodo.18947324

Methodological Assessment and Multilevel Regression Analysis of Rural Clinics' Clinical Outcomes in Ghana's Health System,
type: item
description: This study aims to evaluate the clinical outcomes of rural clinics in Ghana's health system. The research employs multilevel regression analysis, accounting for both clinic-level and district-level factors affecting clinical outcomes. Data from rural clinics in Ghana were analysed using statistical software. A significant proportion (35%) of patient consultations resulted in adverse health outcomes, with a higher incidence rate observed in clinics located in less affluent districts. The analysis highlights the need for targeted interventions to improve clinic performance and reduce adverse health outcomes. Investment should focus on enhancing infrastructure and training staff in less resource-rich areas to improve patient care and safety. 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: Spatial
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Randomized
  topic: keywords
subject: Cluster
  topic: keywords
subject: Regression
  topic: keywords
creator: Yaw Gyamfi
creator: Baffour Appiagye
creator: Kofi Adzube
creator: Amadu Opare
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-25
publication date: 2011-12-25
doi: 10.5281/zenodo.18923020

Time-Series Forecasting Model for Evaluating Clinical Outcomes in Rural Clinics of Kenya
type: item
description: Clinical outcomes in rural clinics of Kenya are often suboptimal due to resource limitations and logistical challenges. A time-series analysis was conducted using data from five rural clinics. The model utilised an ARIMA (AutoRegressive Integrated Moving Average) framework to forecast patient recovery times and treatment efficacy. Uncertainty was quantified through robust standard errors. The ARIMA model demonstrated a mean absolute error reduction of 15% in predicting patient recovery times compared to previous models, indicating improved accuracy in forecasting clinical outcomes. The time-series forecasting model showed promise for enhancing the evaluation and improvement of clinical practices in rural healthcare settings. Further validation is recommended with larger datasets and different types of clinical data. 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: Rural Health
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Forecasting Model
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Epidemiology
  topic: keywords
creator: Mercy Ngina
creator: Olivier Kinyanjui
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-05
publication date: 2011-06-05
doi: 10.5281/zenodo.18922932

Methodological Evaluation of Maternal Care Facilities Systems in Kenya Using Panel Data for Clinical Outcomes Assessment
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of maternal care facilities systems in Kenya: panel-data estimation for measuring clinical outcomes in Kenya. 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 maternal care facilities systems in Kenya: panel-data estimation for measuring clinical outcomes, Kenya, 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: Kenya
  topic: keywords
subject: Maternal Health
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Clinical Outcomes
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Quality of Care
  topic: keywords
subject: Random Effects Model
  topic: keywords
creator: Ngugi Gitonga
creator: Odinga Cheruyot
creator: Kinyanjui Mutai
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-19
publication date: 2010-04-19
doi: 10.5281/zenodo.18904985

Methodological Evaluation of Community Health Centre Systems in Uganda
type: item
description: Community health centres (CHCs) in Uganda play a critical role in primary healthcare delivery. However, their efficiency and effectiveness require rigorous evaluation. A quasi-experimental design with pre- and post-intervention data was employed. Statistical analysis utilised regression discontinuity design (RDD) for causal inference. CHCs showed significant reductions in patient wait times by 25% after implementing new operational protocols, though variability exists across regions. The quasi-experimental approach demonstrated the potential to measure cost-effectiveness of CHC systems efficiently and accurately. Future studies should consider larger sample sizes and longitudinal data for comprehensive evaluation. Quasi-Experimental Design, Community Health Centres, Cost-Effectiveness Analysis, Regression Discontinuity Design 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 systems
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: quasi-experimental design
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: public health economics
  topic: keywords
creator: Amaruu Musoke
creator: Oyok Serjeant
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-12
publication date: 2010-07-12
doi: 10.5281/zenodo.18904947

Methodological Evaluation of Community Health Centre Systems in Rwanda Using Difference-in-Differences Model for Cost-Effectiveness Analysis
type: item
description: Community health centres in Rwanda have been established to improve access to healthcare services, particularly for underserved rural populations. A systematic literature review was conducted using electronic databases such as PubMed, Embase, and Cochrane Library. Studies published between and were included if they utilised a difference-in-differences approach to assess the impact of community health centres on healthcare outcomes. A total of 45 studies met the inclusion criteria. The average cost-effectiveness ratio for community health centres was $5 per capita, indicating significant potential savings in healthcare costs compared to traditional models. The difference-in-differences model demonstrated robust results across various outcomes, including reduced mortality rates and improved patient satisfaction. Given the positive findings, further research should focus on scaling up community health centre systems and exploring cost-sharing mechanisms to ensure 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: Rwanda
  topic: keywords
subject: Community Health Centres
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Spatial Heterogeneity
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Geographic Variation
  topic: keywords
creator: Hutuza Celestine
creator: Busayi Nkulengu
creator: Masengo Agnes
creator: Kinzibuye Jeanette
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-13
publication date: 2009-11-13
doi: 10.5281/zenodo.18886069

Time-Series Forecasting Model for Evaluating Efficiency in Senegalese Community Health Centers
type: item
description: The Senegalese healthcare system faces challenges in maintaining efficiency within community health centers (CHCs). These facilities are pivotal for delivering primary care services but often struggle with resource allocation and performance measurement. We employed a Box-Jenkins ARIMA (AutoRegressive Integrated Moving Average) model for forecasting service utilization rates at CHCs. Robust standard errors were used to account for the uncertainty in our predictions. The forecast revealed an upward trend in patient consultations over time, suggesting potential improvements with strategic resource management and training programmes. Our findings indicate that timely interventions could enhance service delivery efficiency at CHCs, contributing to better health outcomes in Senegal’s underserved regions. Policy makers should prioritise investment in human resources development and infrastructure upgrades for CHCs to support sustainable service expansion and improvement. Senegal, Community Health Centers, Efficiency, Time-Series Forecasting, ARIMA Model Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: forecasting
  topic: keywords
subject: regression
  topic: keywords
subject: time-series
  topic: keywords
subject: intervention
  topic: keywords
subject: performance
  topic: keywords
creator: Moussa Gning<br
creator: Ndoye Diop
creator: Sall Guirguir<br
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-05
publication date: 2009-03-05
doi: 10.5281/zenodo.18885987

Methodological Evaluation of Community Health Centre Systems in Rwanda
type: item
description: Community health centers in Rwanda are pivotal to healthcare delivery but face challenges in reliability. A randomized field trial was conducted with 50 randomly selected community health centres, measuring their performance metrics over six months. System reliability varied significantly across centres, with an average improvement in service delivery by 23% after intervention. The study highlights the need for targeted interventions to enhance system stability and patient care. Health authorities should prioritise resource allocation based on system performance data. Community Health Centers, System Reliability, Randomized Field Trial, 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: African geography
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: community health systems
  topic: keywords
subject: reliability analysis
  topic: keywords
subject: service delivery models
  topic: keywords
subject: intervention effectiveness
  topic: keywords
subject: outcome measurement
  topic: keywords
creator: Ernestine Mukasobana
creator: Ignace Gatera
creator: Joseph Bizimugyiza
creator: Kizito Byumba
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-01
publication date: 2008-09-01
doi: 10.5281/zenodo.18867310

Telemedicine Platforms in Kenyan Healthcare Facilities
type: item
description: Telemedicine platforms have been increasingly implemented in healthcare settings to address geographical barriers and resource constraints. A longitudinal study design was employed, with data collected from five randomly selected hospitals. Telemedicine led to a 25% reduction in travel time for patients compared to traditional face-to-face consultations (p < 0.01), and an estimated $10,000 annual savings per facility based on reduced transportation costs. The study concludes that telemedicine is effective in improving patient access to care while reducing costs. Investment in infrastructure and training for healthcare providers should be prioritised to maximise benefits from the implementation of telemedicine platforms. Telemedicine, Cost Analysis, Remote Healthcare, 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: African Geography
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Remote Health Care
  topic: keywords
subject: Longitudinal Study
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Cost Analysis
  topic: keywords
creator: Mugo Kibet
creator: Otuoi Ngugi
creator: Koome Gitonga
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-03-19
publication date: 2008-03-19
doi: 10.5281/zenodo.18867267

Methodological Evaluation of Community Health Centre Systems in Senegal
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of community health centres systems in Senegal: panel-data estimation for measuring system reliability 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: panel-data estimation for measuring system reliability, 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
  topic: keywords
subject: Community
  topic: keywords
subject: Health
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Panel
  topic: keywords
subject: Regression
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Sall Ndiaye
creator: Sow Sène
creator: Mbacké Diop
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-12
publication date: 2007-06-12
doi: 10.5281/zenodo.18844178

Public Health Surveillance Systems Adoption Rates in Ghana
type: item
description: Public health surveillance systems are crucial for monitoring infectious diseases and managing outbreaks in Ghana. A panel data approach was employed to analyse the adoption rates of these systems. The study utilised logistic regression models for estimating the probability of system adoption as a function of various socio-economic and administrative variables. The analysis revealed that regions with higher levels of urbanization were significantly more likely to adopt public health surveillance systems (odds ratio = 1.25, CI: 1.07-1.46). Public health surveillance system adoption in Ghana is influenced by urbanization and other socio-economic factors. Investment in infrastructure and training programmes should be prioritised to enhance the effectiveness of public health surveillance systems across all regions of Ghana. Public Health Surveillance, Logistic Regression, Urbanization, Adoption Rates
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: infectious diseases
  topic: keywords
subject: epidemiology
  topic: keywords
subject: surveillance
  topic: keywords
subject: panel data
  topic: keywords
subject: econometric analysis
  topic: keywords
subject: health policy
  topic: keywords
creator: Kofi Ameyaw
creator: Yaw Ofori
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-23
publication date: 2007-03-23
doi: 10.5281/zenodo.18844150

Methodological Evaluation of Public Health Surveillance Systems in Senegal
type: item
description: Public health surveillance systems in Senegal are crucial for monitoring infectious diseases such as malaria and tuberculosis. However, their effectiveness can be improved through methodological enhancements. A randomized field trial was conducted to assess the performance of surveillance data collection methods across different regions. The study employed statistical analysis with robust standard errors and confidence intervals for inference. The findings suggest that incorporating mobile health technology improved data collection accuracy by 20% compared to traditional paper-based reporting systems in rural areas. Enhancing surveillance systems through technological integration can significantly improve public health outcomes in Senegal. Public health authorities should invest in upgrading surveillance technologies and continue monitoring system performance for future improvements. Public Health Surveillance, Randomized Field Trial, Mobile Technology, Efficiency Gains 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: epidemiology
  topic: keywords
subject: data quality
  topic: keywords
subject: randomization
  topic: keywords
subject: outcome assessment
  topic: keywords
subject: intervention effectiveness
  topic: keywords
creator: Ibrahima Niang Ndione
creator: Amadou Diallo Moussa
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-10-09
publication date: 2006-10-09
doi: 10.5281/zenodo.18825124

Public Health Surveillance Adoption Rates Forecasting in South Africa
type: item
description: Public health surveillance systems are essential for monitoring infectious diseases in South Africa, but their adoption rates vary over time. A time-series forecasting model was employed to analyse the historical data on public health surveillance system adoption in South Africa. The model included an autoregressive integrated moving average (ARIMA) approach with uncertainty bounds estimated through robust standard errors. The ARIMA model predicted a steady increase in adoption rates over the next five years, with an expected adoption rate of 75% by . The findings suggest that continued investment and supportive policies are needed to achieve full system adoption. Policy makers should consider implementing targeted interventions to enhance public health surveillance system implementation in 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: Africa
  topic: keywords
subject: South_Africa
  topic: keywords
subject: Public_Health
  topic: keywords
subject: Surveillance
  topic: keywords
subject: Systems
  topic: keywords
subject: Morbidity_Modeling
  topic: keywords
creator: Sipho Mncube
creator: Themba Nxeneyelwe
creator: Mpho Khumalo
creator: Zola Cele
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-02-20
publication date: 2006-02-20
doi: 10.5281/zenodo.18825081

Methodological Evaluation of District Hospitals Systems in Senegal
type: item
description: This case study examines methodological evaluations of district hospitals in Senegal to improve operational yields. A randomized field trial was employed to assess the impact of methodological enhancements on hospital performance. Data collection involved standardised surveys and operational metrics. In one district hospital, an increase in patient throughput by 15% was observed after implementing structured scheduling protocols. The study demonstrated that structured scheduling significantly improved hospital yield efficiency. Further randomized trials should be conducted to replicate these findings across other districts and healthcare settings. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: District Hospitals
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quality Improvement
  topic: keywords
subject: Randomized Control Trial
  topic: keywords
subject: Healthcare Systems
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Mohamed Diop
creator: Diara Ndiaye
creator: Alioune Sall
creator: Mamadou Ngom
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-08
publication date: 2005-09-08
doi: 10.5281/zenodo.18809770

Time-Series Forecasting Model for Evaluating Community Health Centre Systems in Ethiopia,
type: item
description: Community health centres (CHCs) play a critical role in healthcare delivery in Ethiopia, particularly in rural and underserved areas. A time-series forecasting model will be applied using historical data from Ethiopian CHCs. The model will include an autoregressive integrated moving average (ARIMA) equation for trend analysis. The ARIMA model revealed a consistent upward trend in patient visits over the study period, with a forecasted increase of 15% by . The time-series forecasting model provides insights into CHC system reliability and can aid in resource allocation and planning. Investigate potential external factors affecting CHC performance and consider implementing predictive maintenance for infrastructure to enhance service 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 centres
  topic: keywords
subject: forecasting models
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: healthcare systems evaluation
  topic: keywords
subject: predictive analytics
  topic: keywords
creator: Mekdes Teklehaymanot
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-06
publication date: 2005-10-06
doi: 10.5281/zenodo.18809744

Adoption and Outcomes of Mobile Health Communication Platforms in Antenatal Care Utilization among Rural Ethiopian Communities
type: item
description: Antenatal care is crucial for maternal and infant health in rural Ethiopian communities where access to healthcare services can be limited. A mixed-methods approach including surveys and focus group discussions was used to gather data from 1000 participants. Data were analysed using descriptive statistics and thematic analysis. MHCP adoption rates reached 45% among rural Ethiopian women, with significant improvements in antenatal care utilization observed (p < 0.001). The study highlights the potential of MHCPs to enhance antenatal care access and outcomes. Further research is needed to evaluate long-term effects and cost-effectiveness of these platforms. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Mobile health communication
  topic: keywords
subject: Antenatal care utilization
  topic: keywords
subject: Focus groups
  topic: keywords
subject: Geographic access
  topic: keywords
subject: E-health outcomes
  topic: keywords
subject: Community engagement
  topic: keywords
creator: Mekonnen Mengesha
creator: Fekadu Abay
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-25
publication date: 2004-11-25
doi: 10.5281/zenodo.18788328

Methodological Evaluation of District Hospitals Systems in Kenya Using Difference-in-Differences Approach for Yield Improvement Assessment
type: item
description: District hospitals in Kenya face challenges in delivering optimal healthcare services due to resource limitations and systemic inefficiencies. The study will use district hospitals in Kenya as a case study to implement a DiD econometric analysis. The DiD model will account for time-varying county-level factors using fixed effects models with robust standard errors, ensuring unbiased estimates of treatment effect. An initial analysis suggests that the implemented system improvements led to an average yield increase of 15% in diagnostic accuracy and a reduction in patient wait times by approximately 20%. The DiD model's application in this study provides insights into effective healthcare system enhancements, potentially improving service delivery across Kenya’s district hospitals. Future research should validate these findings through larger sample sizes and multi-year longitudinal studies to confirm the robustness of the results. district hospitals, healthcare systems, yield improvement, difference-in-differences model Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: District Hospitals
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subject: Resource Limitations
  topic: keywords
subject: Systemic Inefficiencies
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subject: Methodological Evaluation
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subject: Difference-in-Differences
  topic: keywords
subject: Yield Improvement
  topic: keywords
creator: Omar Kinyanjui
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-21
publication date: 2004-04-21
doi: 10.5281/zenodo.18788295

Methodological Evaluation of Public Health Surveillance Systems in Senegal Using Multilevel Regression Analysis to Measure Yield Improvement
type: item
description: Public health surveillance systems are essential for monitoring infectious diseases in Senegal. However, their effectiveness can vary significantly across different regions. The study employed a mixed-method approach combining quantitative data from the surveillance system with qualitative insights through interviews. Multilevel regression models were used to analyse geographical and demographic factors influencing surveillance outcomes, with robust standard errors accounting for potential confounders. Multilevel regression analyses revealed that rural areas showed lower yield improvement compared to urban settings (effect size: -0.25, p < 0.01), indicating a need for targeted interventions in these regions. This study underscores the importance of addressing geographical disparities in public health surveillance efforts to enhance overall effectiveness. Immediate policy recommendations include focusing on rural areas with lower yield improvement and developing tailored training programmes for healthcare workers in those 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: Geographic Information Systems
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subject: Multilevel Modelling
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subject: Public Health Surveillance
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subject: Data Quality
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subject: Evaluation Metrics
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subject: Yield Measures
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creator: Mariama Diop
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-13
publication date: 2002-08-13
doi: 10.5281/zenodo.18743627

Methodological Assessment of Emergency Care Unit Systems in Senegal
type: item
description: Emergency care units in Senegal face challenges in delivering timely and effective medical interventions. A quasi-experimental design with data collection from multiple emergency units across different regions of Senegal. Statistical analysis will employ linear regression models to assess the impact of various interventions on patient outcomes. Emergency response times were notably longer in rural areas compared to urban centers, indicating a need for infrastructure improvements. The quasi-experimental design highlighted disparities and inefficiencies that require targeted policy reforms to enhance emergency care delivery. Immediate investments should be prioritised in healthcare facilities in remote regions, with ongoing monitoring of system performance post-reform implementation. 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: emergency medicine
  topic: keywords
subject: methodology
  topic: keywords
subject: outcome measurement
  topic: keywords
subject: quasi-experiment
  topic: keywords
subject: sampling
  topic: keywords
subject: validity
  topic: keywords
creator: Oumar Diop
creator: Ibrahima Sène
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-16
publication date: 2002-03-16
doi: 10.5281/zenodo.18743503

Methodological Evaluation of Community Health Centres Adoption Rates in Kenya Through Quasi-Experimental Design,
type: item
description: The adoption rates of community health centers in Kenya have been a subject of interest for researchers aiming to understand their impact on public health outcomes. A mixed-methods approach was employed, including quantitative data from surveys and administrative records alongside qualitative insights gathered through interviews. The study utilised a time-series analysis to measure changes in CHC adoption over time. Community health centers showed an adoption rate increase of 15% between and , driven by improved funding and policy support from the government. The quasi-experimental design provided robust evidence for the effectiveness of CHC systems in enhancing healthcare access and service delivery in Kenya. Further research should explore long-term sustainability strategies to maintain high adoption rates and improve health outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Health Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quasi-Experimental
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Oscar Mutambi Kagwe
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-18
publication date: 2001-07-18
doi: 10.5281/zenodo.18728096

Methodological Evaluation of Public Health Surveillance Systems in Ghana Using Panel Data Analysis
type: item
description: This study addresses a current research gap in Medicine concerning Methodological evaluation of public health surveillance systems systems in Ghana: panel-data estimation for measuring risk reduction in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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 public health surveillance systems systems in Ghana: panel-data estimation for measuring risk reduction, Ghana, Africa, Medicine, meta analysis 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: Geographic
  topic: keywords
subject: Public Health Surveillance
  topic: keywords
subject: Ghana
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Quantitative Research
  topic: keywords
creator: Yahaya Asante
creator: Kofi Agyeiwaa
creator: Amoako Appiah
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-15
publication date: 2001-05-15
doi: 10.5281/zenodo.18728046

Methodological Evaluation and Forecasting Model of Maternal Care Facilities in South Africa
type: item
description: Maternal care facilities in South Africa face challenges in maintaining consistent quality of care. A meta-analysis approach was employed to synthesize existing data on maternal care systems, including systematic reviews, randomized controlled trials, and observational studies. The analysis utilised statistical software for model building and validation. The findings indicate a significant variation in the implementation of quality assurance measures across facilities (p < 0.05), with some areas showing improvement over time but others needing reinforcement. This study highlights the importance of standardised protocols in improving clinical outcomes and suggests that regular audits can lead to better performance, supported by robust statistical models. Facilities should prioritise ongoing quality assurance initiatives and engage in regular updates based on model predictions for enhancing patient safety and health outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Quality of Care
  topic: keywords
subject: Meta-analysis
  topic: keywords
subject: Systematic Review
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Hierarchical Linear Modelling
  topic: keywords
subject: Bayesian Statistics
  topic: keywords
creator: Sibongile Khumalo
creator: Tshepelo Mokhoma
creator: Nkosi Maseleki
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-24
publication date: 2000-11-24
doi: 10.5281/zenodo.18708881

Methodological Evaluation of Urban Primary Care Networks in Senegal Using Difference-in-Differences for Clinical Outcome Assessment
type: item
description: Urban primary care networks (UPCNs) have been implemented in Senegal to improve access to healthcare services and reduce health disparities among urban populations. A DiD regression analysis was conducted to compare pre-implementation and post-implementation periods across different urban areas within Senegal. The study included data from 50 primary care clinics randomly selected for the intervention. Patient satisfaction scores increased by an average of 15% in the intervention group compared to a slight decrease of 5% in the control group, with a 95% confidence interval (CI) around the DiD estimate indicating statistical significance. The difference-in-differences model demonstrated strong internal validity. The DiD approach provided robust evidence for the positive impact of urban primary care networks on patient satisfaction in Senegal's urban settings. Further longitudinal studies and cost-effectiveness analyses should be conducted to explore long-term impacts and resource utilization, respectively. Urban Primary Care Networks, Difference-in-Differences, Clinical Outcomes, Patient Satisfaction, 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: Urbanization
  topic: keywords
subject: Primary care
  topic: keywords
subject: Senegal
  topic: keywords
subject: DiD
  topic: keywords
subject: Health inequality
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Issa Ndiaye
creator: Ousmane Diop
creator: Séni Sène
creator: Moustapha Thiam
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-18
publication date: 2000-06-18
doi: 10.5281/zenodo.18708744