Application of P4 (Predictive, Preventive, Personalized, Participatory) Approach to Occupational Medicine.


Journal

La Medicina del lavoro
ISSN: 0025-7818
Titre abrégé: Med Lav
Pays: Italy
ID NLM: 0401176

Informations de publication

Date de publication:
22 Feb 2022
Historique:
received: 27 11 2021
accepted: 22 12 2021
entrez: 28 2 2022
pubmed: 1 3 2022
medline: 3 3 2022
Statut: epublish

Résumé

In recent years there has been a growth in the role of prevention in controlling the disease burden. Increasing efforts have been conveyed in the screening implementation and public health policies, and the spreading knowledge on risk factors reflects on major attention to health checks. Despite this, lifestyle changes are difficult to be adopted and the adherence to current public health services like screening and vaccinations remains suboptimal. Additionally, the prevalence and outcome of different chronic diseases and cancers is burdened by social disparities. P4 [predictive, preventive, personalized, participatory] medicine is the conceptualization of a new health care model, based on multidimensional data and machine-learning algorithms in order to develop public health intervention and monitoring the health status of the population with focus on wellbeing and healthy ageing. Each of the characteristics of P4 medicine is relevant to occupational medicine, and indeed the P4 approach appears to be particularly relevant to this discipline. In this review, we discuss the potential applications of P4 to occupational medicine, showing examples of its introduction on workplaces and hypothesizing its further implementation at the occupational level.

Identifiants

pubmed: 35226650
doi: 10.23749/mdl.v113i1.12622
pmc: PMC8902745
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2022009

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Auteurs

Paolo Boffetta (P)

. paolo.boffetta@gmail.com.

Giulia Collatuzzo (G)

. giulia.collatuzzo@studio.unibo.it.

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Classifications MeSH