Precision prevention in occupational health: a conceptual analysis and development of a unified understanding and an integrative framework Article Swipe
Filip Mess
,
Simon Blaschke
,
Doris Gebhard
,
Julian Friedrich
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fpubh.2024.1444521
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fpubh.2024.1444521
Introduction Precision prevention implements highly precise, tailored health interventions for individuals by directly addressing personal and environmental determinants of health. However, precision prevention does not yet appear to be fully established in occupational health. There are numerous understandings and conceptual approaches, but these have not yet been systematically presented or synthesized. Therefore, this conceptual analysis aims to propose a unified understanding and develop an integrative conceptual framework for precision prevention in occupational health. Methods Firstly, to systematically present definitions and frameworks of precision prevention in occupational health, six international databases were searched for studies published between January 2010 and January 2024 that used the term precision prevention or its synonyms in the context of occupational health. Secondly, a qualitative content analysis was conducted to analyze the existing definitions and propose a unified understanding. Thirdly, based on the identified frameworks, a multi-stage exploratory development process was applied to develop and propose an integrative conceptual framework for precision prevention in occupational health. Results After screening 3,681 articles, 154 publications were reviewed, wherein 29 definitions of precision prevention and 64 different frameworks were found, which can be summarized in eight higher-order categories. The qualitative content analysis revealed seven themes and illustrated many different wordings. The proposed unified understanding of precision prevention in occupational health takes up the identified themes. It includes, among other things, a contrast to a “one-size-fits-all approach” with a risk- and resource-oriented data collection and innovative data analytics with profiling to provide and improve tailored interventions. The developed and proposed integrative conceptual framework comprises three overarching stages: (1) data generation, (2) data management lifecycle and (3) interventions (development, implementation and adaptation). Discussion Although there are already numerous studies on precision prevention in occupational health, this conceptual analysis offers, for the first time, a proposal for a unified understanding and an integrative conceptual framework. However, the proposed unified understanding and the developed integrative conceptual framework should only be seen as an initial proposal that should be critically discussed and further developed to expand and strengthen both research on precision prevention in occupational health and its practical application in the workplace.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpubh.2024.1444521
- OA Status
- gold
- Cited By
- 4
- References
- 183
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402576614Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpubh.2024.1444521Digital Object Identifier
- Title
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Precision prevention in occupational health: a conceptual analysis and development of a unified understanding and an integrative frameworkWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-18Full publication date if available
- Authors
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Filip Mess, Simon Blaschke, Doris Gebhard, Julian FriedrichList of authors in order
- Landing page
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https://doi.org/10.3389/fpubh.2024.1444521Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.3389/fpubh.2024.1444521Direct OA link when available
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Conceptual framework, Context (archaeology), Computer science, Data science, Occupational safety and health, Psychological intervention, Management science, Medicine, Engineering, Nursing, Sociology, Pathology, Social science, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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