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| http://dx.doi.org/10.21470/1678-9741-2023-0053 | DOI Listing |
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Principles for embedding learning and adaptation into New Zealand health system functioning: the example of the Viable System Model.
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January 2025
Executive Dean, Bond Business School, Bond University, Gold Coast, QLD, Australia; Harkness Senior Fellow, Commonwealth Fund of New York.
This article makes the case for taking a model-based management approach, specifically using the Viable System Model (VSM), to embed learning and adaptation into the New Zealand health system so it can function as a learning health system. We draw on a case study of a specialist clinical service where the VSM was used to guide semi-structured interviews and workshops with clinicians and managers and to guide analysis of the findings. The VSM analysis revealed a lack of clarity of organisational functioning, and of the systems, processes and integrated IT infrastructure necessary to support the fundamental requirements of a learning health system.
View Article and Find Full Text PDFSupport for and likely impacts of endgame measures in the Smokefree Aotearoa Action Plan: findings from the 2020-2021 International Tobacco Control New Zealand (EASE) surveys.
N Z Med J
January 2025
Professor, Department of Public Health, University of Otago Wellington, Wellington.
Aim: In February 2024, the Aotearoa New Zealand Government repealed legislation to mandate very low nicotine cigarettes (VLNCs), greatly reduce the number of tobacco retailers and disallow sale of tobacco products to people born after 2008 (smokefree generation). We investigated acceptability and likely impacts of these measures among people who smoke or who recently (≤2 years) quit smoking.
Method: We analysed data from 1,230 participants from Wave 3 (conducted in late 2020 and early 2021) and 615 participants from Wave 3.
Retraction Note: Simple hemogram to support the decision-making of COVID-19 diagnosis using clusters analysis with self-organizing maps neural network.
Soft comput
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Laboratory of Big Data and Applied Analytical Methods - Big MAAp, Mackenzie Presbiterian University, São Paulo, Brazil.
[This retracts the article DOI: 10.1007/s00500-021-05810-5.].
View Article and Find Full Text PDFPredicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study.
J Med Internet Res
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Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan.
Background: Health misinformation undermines responses to health crises, with social media amplifying the issue. Although organizations work to correct misinformation, challenges persist due to reasons such as the difficulty of effectively sharing corrections and information being overwhelming. At the same time, social media offers valuable interactive data, enabling researchers to analyze user engagement with health misinformation corrections and refine content design strategies.
View Article and Find Full Text PDFChallenges when Combining Expertise to Provide Integrated Care for Youth At-Risk and Their Family: A Qualitative Study.
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LUMC Curium - Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Post Box 15, Leiden, 2300 AA, the Netherlands.
The needs of youth at-risk and their families, facing multiple problems and serious mental health issues, exceed the expertise and possibilities of a single stakeholder (professional, organization, municipality). These youngsters require care in which the expertise of different professionals and organizations is integrated. However, combining various types of expertise to provide integrated care to youth at-risk is challenging.
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