Dianne Wepa
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Associate Professor and Head of Discipline in Social Work
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About
Dianne Wepa is an Associate Professor and Head of Discipline in Social Work at Charles Darwin University, Australia. Her research areas include digital disparities, health justice, and the experiences of Māori in physical rehabilitation. Recent publications have focused on self-compassion for healthcare workers and the co-design of digital health tools aimed at suicide prevention. She is actively engaged in advancing socially just practices within intimate partner violence expert testimony.
Recent Grants
Grant: Close
Kaumātua use of digital technology post COVID-19 to meet their health needs
Open Date: 2022-11-01
Close Date: 2023-11-01
Grant: Close
Co-development of a Digital Health Tool for Suicide Prevention
Open Date: 2022-06-01
Close Date: 2023-06-01
Grant: Close
Exploring mental health healing strategies post COVID-19: A collaboration between service users, disadvantaged students, academics and health professionals
Open Date: 2022-05-01
Close Date: 2022-10-01
Grant: Close
Reconnecting for Maori in a Post COVID-19 world
Open Date: 2021-11-01
Close Date: 2022-11-01
Grant: Close
Demystifying Case Management in Aotearoa NZ
Open Date: 2021-09-01
Close Date: 2022-02-01
Articles (17)
Year:
2025
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2025
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2025
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2024
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2024
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2024
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2024
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2023
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2023
Objective This study explored healthcare quality issues affecting the reporting and investigation levels of digital incident reporting systems. Methods A total of 38 health information technology-related incident reports (free-text narratives) were collected from one of Sweden's national incident reporting repositories. The incidents were analysed using an existing framework, i.e., the Health Information Technology Classification System, to identify the types of issues and consequences. The framework was applied in two fields, ‘event description’ by the reporters and ‘manufacturer's measures’, to assess the quality of reporting incidents by the reporters. Additionally, the contributing factors, i.e., either human or technical factors for both fields, were identified to evaluate the quality of the reported incidents. Results Five types of issues were identified and changes made between before-and-after investigations: Machine to software-related issues ( n = 8), machine to use-related issues ( n = 5), software to software-related issues ( n = 5), use to software-related issues ( n = 4) and use to use-related issues ( n = 1). Over two-thirds ( n = 15) of the incidents demonstrated a change in the contributing factors after the investigation. Only four incidents were identified as altering the consequences after the investigation. Conclusion This study shed some light on the issues of incident reporting and the gap between the reporting and investigation levels. Facilitating sufficient staff training sessions, agreeing on common terms for health information technology systems, refining the existing classifications systems, enforcing mini-root cause analysis, and ensuring unit-based local reporting and standard national reporting may help bridge the gap between reporting and investigation levels in digital incident reporting.
Year:
2023
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2023
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2023
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2022
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2022
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2022
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2020
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2020
Collaborators (9)
Julie Reis
Newcastle University
Monika Ferguson
University of South Australia
Md Shafiqur Rahman Jabin
Assistant Professor
University of Bradford
Julie Collis
Lecturer
Swinburne University of Technology
Patrick Bergman
Linnaeus University
Denise Wilson
Professor Māori Health
University of Auckland
Rachael Vernon
Professor of Nursing and Dean of Programs Nursing & Midwifery
University of South Australia
Mary Steen
Northumbria University
Caroline Stretton
Senior Lecturer
University of Auckland
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