The aging of the active population is more and more increasing in advanced western societies. This phenomenon also implies a constant increase in the average age of workers in various productive sectors, not least that of health. In this, in fact, alongside the known occupational risks, more and more frequently we are witnessing the emergence of chronic-degenerative pathologies connected with aging, even with symptoms that do not determine an unsuitability for work. In fact, within a scientific landscape accounting little evidence on the effectiveness of complex rehabilitation programs, the use of the ICD / ICF system in therapeutic programming should produce an important turning point, providing health professionals with a conceptual paradigm that supports both the functional assessment and the rational planning of therapeutic interventions, also contributing to the advancement of specialist knowledge. The present work shows how an effective collaboration between occupational physicians and rehabilitation specialists can effectively participate in the evaluation of the patient / worker even in the elderly, with particular regard to the return to work, taking full advantage of the classification and diagnostic tools implemented in the ICD and ICF systems.
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Stud Health Technol Inform
August 2024
World Health Organization, Switzerland.
This paper presents an effort by the World Health Organization (WHO) to integrate the reference classifications of the Family of International Classifications (ICD, ICF, and ICHI) into a unified digital framework. The integration was accomplished via an expanded Content Model and a single Foundation that hosts all entities from these classifications, allowing the traditional use cases of individual classifications to be retained while enhancing their combined use. The harmonized WHO-FIC Content Model and the unified Foundation has streamlined the content management, enhanced the web-based tool functionalities, and provided opportunities for linkage with external terminologies and ontologies.
View Article and Find Full Text PDFFront Public Health
June 2024
Innovation in Healthcare and Social Services, Emilia-Romagna Region, Bologna, Emilia-Romagna, Italy.
Background: Uncertainty and inconsistency in terminology regarding the risk factors (RFs) for in-hospital falls are present in the literature.
Objective: (1) To perform a literature review to identify the fall RFs among hospitalized adults; (2) to link the found RFs to the corresponding categories of international health classifications to reduce the heterogeneity of their definitions; (3) to perform a meta-analysis on the risk categories to identify the significant RFs; (4) to refine the final list of significant categories to avoid redundancies.
Methods: Four databases were investigated.
Dig Dis Sci
September 2024
Department of Gastroenterology, St Luke's University Health Network, 701 ostrum street, Bethlehem, PA, 18015, USA.
Background: Frailty is a clinically recognizable state of increased vulnerability due to age-related decline in reserve and function across multiple physiologic systems that compromises the ability to cope with acute stress. As frailty is being identified as an important risk factor in outcomes of gastrointestinal pathologies, we aimed to assess outcomes in patients with acute pancreatitis within this cohort.
Method: We conducted a retrospective study using the Nationwide Inpatient Sample (NIS) database.
Disabil Rehabil
November 2024
National Rehabilitation Center, Seoul, South Korea.
Purpose: To develop a Korean version of simple, intuitive descriptions (SIDs) for clinical use of the generic functioning domains in the International Classification of Disease 11 revision (ICD-11) Chapter V.
Methods: The initial Korean SID version proposal for the International Classification of Functioning, Disability, and Health (ICF) Rehabilitation set was translated following the Italian version. The remaining 17 codes were developed using original ICF descriptions; WHO Disability Assessment Schedule, Model Disability Survey, Korean Classification of Functioning, Disability, and Health; and previous studies.
Healthcare (Basel)
July 2023
School of Law, Legal Medicine, University of Camerino, 62032 Camerino, Italy.
Artificial intelligence (AI) and machine learning (ML) span multiple disciplines, including the medico-legal sciences, also with reference to the concept of disease and disability. In this context, the International Classification of Diseases, Injuries, and Causes of Death (ICD) is a standard for the classification of diseases and related problems developed by the World Health Organization (WHO), and it represents a valid tool for statistical and epidemiological studies. Indeed, the International Classification of Functioning, Disability, and Health (ICF) is outlined as a classification that aims to describe the state of health of people in relation to their existential spheres (social, family, work).
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