Trained as a Physical Medicine and Rehabilitation practitioner, Kris Essosola Eale specializes in Public health (MPH). I am currently a PhD student in Health Information Science (HIS). Considering my love for Public Health, I cannot help but continue to accept work as a part-time Public Health consultant in my free time.
Prior to joining Western University’s PhD program, I extensively worked (Over 13 years) as a Public Health Expert with an extended focus on HIV/AIDS, TB, Malaria, Cancer and children vaccine preventable diseases in 16 countries throughout Africa and the Caribbean (Haiti) for a wide range of clients, including: USAID, PEPFAR, FHI 360, The Global Fund, WHO, UNICEF, The Bill and Melinda Gates Foundation (BMGF), Elizabeth Glazer Pediatric AIDS Foundation (EGPAF), Bloomberg Media Initiative Africa (BMIA), African Union (PACA), European development agencies, and numerous other African governments and international Non-Governmental Organizations (NGOs).
I am bringing to the PhD program a solid track record of my work as an applied researcher "Monitoring, Evaluation, Research, and Learning expert" supporting the implementation of proven interventions to improve service delivery and strengthen health systems "Close the Know-do Gap".
I have an enormous interest in Health Program Design and Evaluation, Health System Data Management, Information and knowledge generation (Research), and the implementation of proven interventions (Implementation Science).
I extensively worked in:
- Performance monitoring, this include the development of results, indicators, and design of data management systems (including recording and reporting tools, data quality reviews, and performance reporting) to track and measure Public Health programs progress
- Program/outcome evaluations and performance audits, including data quality audits and reviews mostly in the health sector but also landed my expertise to projects in agriculture, social development, and energy sectors.
- Capacity building and training program staff based on evaluation findings and learning, I design capacity building activities and courses to strengthen programs data management and implementation systems.
- Technical support/Assistance for program design and implementation, including activities-related the development of theory of change, identifying evidence based interventions, designing indicators, developing and deploying health systems strengthening activities for existing programs, leading operational research studies to support programs implementation, epidemiologic surveillance, and disease control in the context of children’s vaccination programs etc.
Exploring how Artificial Intelligence (AI) and Machine Learning (ML) can be used to enhance Public health programs implementation is the reason why I joined Western PhD program.
I am a full bilingual French-English, capable of working in both languages.
Western HIS Teaching Assistantships:
- Health Program Evaluation (9012) Winter 2023
- Health Program Evaluation (9012) Summer 2023
Course Description: Course Description: This course provides students with foundational knowledge of program evaluation theory and practice in the context of health systems. The stages of the evaluation process are examined through module-based learning and applied in experiential activities. Students are provided a framework for designing an evaluation plan for a relevant health program. Through the course materials and learning activities, students will gain knowledge, skill, and appreciation of the essential elements of program evaluation in healthcare settings.
3. Implementation Science In Practice (9017) Fall 2023 (Course Coordinator)
Course Description: Implementation science is the scientific study of methods and strategies that facilitate the uptake of evidence-based practice and research into regular use by health care practitioners and policymakers. This course is designed to provide students with in-depth knowledge of the practice of implementation science and how its principles, study designs, frameworks, and theories can be practically leveraged. Through case studies and projects, this course will demonstrate how contemporary approaches in implementation science can be directly applied to address implementation gaps. Course material will include concrete steps and tools for the rigorous application of implementation science.
Independent Teaching
Faculty member at Encompass Learning Center, teaching Data Quality Fundamentals
Module 1: Introduction to Data Quality
This module presents the rationale for enhancing data quality, and introduces core data quality terminology and criteria, and common data quality issues and risks.
Module 2: Data Management Systems
The second module focuses on the data management systems (DMS) that produce and report data. We will discuss how to structure the DMS for routine reporting and research/evaluation to enhance data quality. We will look at data management concepts and best practices, and introduce approaches to correcting errors in M&E data sets.
Module 3: Data Quality Assessments/Audit (DQAs)
The final module presents the methodology for data quality assessments/audits (DQAs) – whether internal or external – including how to verify the accuracy/precision of data and how to assess the data management system for structural risks that may compromise data quality.
I am interested in exploring, describing, and innovating how Public Health can reach its purpose of organizing efforts of society to keep people healthy and prevent injury, illness, and premature death through the combination of effective programs, services, and policies that protect and promote the health of populations by better using:
• Implementation science: the scientific study of methods to promote the systematic uptake of research findings and other evidence-based practices into routine practice, and, hence, to improve the quality and effectiveness of health services” (Eccles & Mittman, 2006)
• Knowledge translation: Knowledge translation is the process by which research is created and translated into practice for the purpose of improving healthcare and health outcomes.
• Health Informatics: Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical/health information. Including Artificial Intelligence and Machine Learning
• Evaluation: The systematic assessment of the design, implementation, or results of an initiative for the purposes of learning or decision-making (The Canadian Evaluation Society).
Journal Articles
- Principal Investigator: Kris, Eale E., and Mphuthi David. "Perceptions of Parents/Guardians About the Effectiveness of Future Families Orphans and Vulnerable Children Programme in Olievenhoutbosch, South Africa." Global Journal of Health Science 12.4 (2020): DOI:10.5539/gjhs.v12n4p20 from https://ccsenet.org/journal/index.php/gjhs/article/view/0/42230
- Principal Investigator: Eale E. Kris, Nwafor S. Uchenna, Carole Metekoua, Mary P. Selvaggio and Ladi-Akinyemi Babatunde O (2022): Sensitivity and Specificity of the HIV Risk Assessment Tool Used by PEPFAR Partners in Edo, Bayelsa and Lagos States, Nigeria. Global Journal of Health Science, Vol. 14, No. 12 (2022): DOI:10.5539/gjhs.v14n12p39 from https://ccsenet.org/journal/index.php/gjhs/article/view/0/48134
- Principal Investigator: Eale E. Kris & Nwafor S. Uchenna & Carole Metekoua & Mary P. Selvaggio & Ladi-Akinyemi Babatunde O, 2022. "Predictors of Lost to Follow Up (LTFU) among HIV Positive Patients Enrolled in 70 PEPFAR Supported Treatment Facilities in Edo, Bayelsa and Lagos States, Nigeria," Global Journal of Health Science, Canadian Center of Science and Education, vol. 14(11), pages 1-13, November. DOI:10.5539/gjhs.v14n12p39: from https://ccsenet.org/journal/index.php/gjhs/article/view/0/48134
Books
L'évaluation en contexte de développement, enjeux, approches et pratiques , under Lynda Rey, Jean Serge Quesnel and Vénétia Sauvain (2022), ENAP, Les Éditions JFD inc. CP 15 Succ. Rosemont Montréal (Québec). Kris Eale authored two chapters:
- Chapitre 4: L’identification des parties prenantes en évaluation
- Chapitre 14: L’implication des parties prenantes en évaluation
For more see:https://scholar.google.com/citations?user=-IQgeIIAAAAJ&hl=en
