AN AUTHOR-DEVELOPED INTEGRAL MODEL OF HEALTH AS AN OPERATIONAL FRAMEWORK FOR HEALTH ASSESSMENT AND MANAGEMENT IN THE "HUMAN-ENVIRONMENT" SYSTEM
Résumé fourni par la source
This article presents an author-developed integral model of health as a contemporary conceptual and operational framework applicable to strategic planning, assessment, and health management at the levels of the individual, organization, community, and public policy. It identifies the limitations of the World Health Organization's (WHO) classical definition of health as normatively idealized and insufficiently operationalized. The proposed model conceptualizes health as a dynamic state of integral human existence shaped through the coherent interaction of biological, psychological, sociocultural, environmental, and spiritual dimensions; the capacity of the human-environment system to adapt to change and maintain and restore individual balance; and an orientation toward viability, self-realization, and the generativity of life. The model's methodological compatibility with the biopsychosocial approach, salutogenesis, and the Health in All Policies principle is substantiated. An approach to operationalizing the model through a system of criteria, measures, and indicators is proposed. Potential applications of artificial intelligence, digital data analytics, and blockchain-based approaches are outlined for assessing the effects of various interventions on human potential, viability, and social generativity within the human-environment system.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- AN AUTHOR-DEVELOPED INTEGRAL MODEL OF HEALTH AS AN OPERATIONAL FRAMEWORK FOR HEALTH ASSESSMENT AND MANAGEMENT IN THE "HUMAN-ENVIRONMENT" SYSTEM
- Date Crossref
- 30/09/2026
- Éditeur
- SciFormat Publishing Inc.
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.