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Validación de los instrumentos para establecer un protocolo de intervención en la prevención de los desórdenes músculo esqueléticos en colombia. Aplicación a los miembros superiores y espalda

2016· dissertation· en· W6997305164 sur OpenAlexaboutno aff

Notice bibliographique

RevueRiuNet (Politechnical University of Valencia) · 2016
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueOccupational Health and Safety in Workplaces
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProtocol (science)Relevance (law)ToolboxReliability (semiconductor)Intervention (counseling)Order (exchange)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[EN] Background: In Colombia the musculoskeletal disorders (MSD) represents the first cause of occupational morbidity with an 88% of all cases. The total of MSD in Colombia in 2005 was 23.477 cases and 11.6% were estimated per 10.000 workers. For 2014 the statistics of the system of occupational risk insurance (ORI), shows that of 8.943.090 affiliates, 10.362 professional diseases were classified. Because of this, arises the need to generate strategies that facilitate the development of models of prevention of the MSD and additionally, the demand is increasing by the occupational risk insurers, of the simple evaluation and the tools of management that can also be used by a non expert professional. In this order of ideas, the protocol of intervention toolkit, used for the prevention of the MSD, it has been an innovative option to approach the study of this phenomenon. However, these tools have generated problems in their use and application by the professional experts of the Positive company (Mutua), which have had difficulties to carry out the application of these tools in a correct and optimal way. Taking into account the above, the main objective of this study is to integrate tools in order to verify the feasibility and reliability of the tools of data collection used for the intervention protocol for the prevention of musculoskeletal disorders. Methodology: The proposal was developed in two processes: 1. An assessment of the experience of use by skilled professionals who apply the toolbox to companies affiliated to the ORI, to verify the acceptability, consistence and relevance of the information; 2.based on this experience of use, the information was collected and used as a platform to elaborate the new integrated approach; for that it has been divided in three parts: musculoskeletal health (MSH) in the company, MSH of the worker and MSH of the work situation. Were in each of them were defined the domains and subdomains. At the end, a questionnaire it developed with information integrated from de synthesis of the domains and the data were structured. To realize an initial recognition of the state of health in the company, concerning the risk of developing or presenting cases of MSD and the dangers in the work places. With this initial diagnostic it seeks to deepen with the toolkit of PIP-MSD when is necessary responding to the needs of the professionals and the companies. As a results, the proposal includes: preliminary identification of risks for MSD and the establishment of priorities; through the questionnaire of MSH , that consists in a quick evaluation directed of three possible conditions: there s no consequence (low risk); critic (moderate risk) or necessary intervention with urgency or detailed necessary analysis (high risk). In the questionnaire were used recognized tools for the estimation of the risk of MSD besides from the PIP-MSD, it was included the list of verification of the toolbox of Ontario and the method CoPsoQ-istas21. It is performed construct validation by experts who analyze the structure, contain, validity and reliability of the results; of the tools used for systematization of the information about MSD. It s validity and reliability of estimation of the risk in accordance with international regulations, makes it possible to simplify the complexity of the evaluation of biomechanical risk and the prevention of the MSD in the companies of different sizes and different sectors in Colombia. Future lines of research: the study will continue as base and contribution for the investigation group Health, Cognition and Work (IGHCW) of the Rosario University, who have developed the toolkit PIP-MSD for the positive company which have organized an integrated version.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,092
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0020,000
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,392
Écart entre enseignants0,371 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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