Addressing the gap in health data management skills: an online self-guided course for researchers and health professionals
2
Issued Date
2024-12-01
Resource Type
eISSN
14726920
Scopus ID
2-s2.0-85211093078
Pubmed ID
39614233
Journal Title
BMC Medical Education
Volume
24
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
BMC Medical Education Vol.24 No.1 (2024)
Suggested Citation
Waithira N., Mutinda B., Shah K., Kestelyn E., Bull S., Boggs L., Lang T., Cheah P.Y. Addressing the gap in health data management skills: an online self-guided course for researchers and health professionals. BMC Medical Education Vol.24 No.1 (2024). doi:10.1186/s12909-024-06405-y Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/102372
Title
Addressing the gap in health data management skills: an online self-guided course for researchers and health professionals
Corresponding Author(s)
Other Contributor(s)
Abstract
Background: The healthcare sector is rapidly evolving with the rise of digital technology and data-driven decision-making. However, traditional medical education has yet to fully integrate training on managing health-related information, resulting in a significant skills gap among medical and research professionals. This gap is pronounced in low- and middle-income countries (LMICs), where data privacy concerns and inadequate infrastructure hinder efforts to utilise and share health data. Aims: To address this gap, we developed an online, modular course aimed at providing foundational skills on capturing, storing and sharing health data. Methods: The course was developed using the ADDIE(Analyze, Design, Develop, Implement, Evaluate) instructional design model. A needs assessment workshop involving 25 global health proffesionals identified key training gaps which informed the curriculum’s development. A multidisciplinary team from six institutions developed the modules. The course was piloted in a face-to-face setting with 37 participants and later adapted for online delivery via the Global Health Network platform. We evaluated the course using Level 1 of Kirkpatrick’s model for training evaluation. Results: Six foundational modules were developed: Introduction to Data Management, Data Quality, Data Repositories, Ethics of Data Sharing, Data Governance, and Costing for Data Management. Between December 2020 and April 2024, 6,384 individuals from 90 countries completed the course. Of these, 32% were from Africa, 15% from Asia, 16% from South/Central America and the Caribbean, and 24% from Europe. Summative evaluations, based on voluntary post-module surveys, demonstrated high relevance to participants’ learning needs (96.6%) and strong intentions to apply the skills gained (88.3%). Key motivators for enrollment included the course’s free access, relevance to professional or academic needs, and trust in the organizations and authors behind the content. Conclusions: The high enrolment and broad geographical reach demonstrates the potential of online training as a cost-effective tool to equip health practitioners and researchers with data literacy skills. Future evaluations will assess its impact on participants’ knowledge, behavior, and data-sharing and reuse practices.