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Enregistrement W2139875374 · doi:10.1111/j.1365-2753.2009.01355.x

Complexity in dynamical health systems – transforming science and theory, and knowledge and practice

2010· editorial· en· W2139875374 sur OpenAlexaffabout
Carmel M. Martin

Notice bibliographique

RevueJournal of Evaluation in Clinical Practice · 2010
Typeeditorial
Langueen
DomaineArts and Humanities
ThématiqueMental Health and Psychiatry
Établissements canadiensNOSM University
Organismes subventionnairesnon disponible
Mots-clésSystems sciencePaceHealth careCognitive reframingIdentification (biology)Dynamical systems theoryComplexity scienceSystems theoryEpistemologyComplex systemLiving systemsData scienceComputer scienceManagement scienceArtificial intelligencePsychologySocial psychologyPhysics

Résumé

récupéré en direct d'OpenAlex

The reason is that in order to see the world in a new way you have to step out of the traditional frame and into a new one. Once done, you can never go back. The ability to reframe a question is the basis for change and broadening of ideas 1. Complexity thinking is slowly emerging in health systems, while the transdisciplinary fields of complexity science and theory are developing at a much faster pace. A dictionary of complexity comprising 11 volumes of state of the art theory and knowledge has been published as a reference book, yet only two papers relate to health in this epic publication 2. Peter Erdi, in another but more accessible reference publication, illuminates how complex collective behaviour emerges from the parts of a system, because of the interaction between the system and its environment 3. Very different complex phenomena of nature and society can be analysed and understood by non-linear dynamics because many systems of very different fields, that impact on human health and medical care such as physics, chemistry, biology, economics, psychology and sociology, etc. have similar architecture 3. Examples of mathematical modelling of complex systems related to the health of the body and mind, and health care and human behaviour are beginning to appear in many fields. In this edition of the Forum, Katerndal 4 models doctor behaviour in consultations involving uncontrolled diabetes using symbolic dynamics in categorical time series data. The identification of the amount of complexity and structure present and recurrent patterns associated with change in medication has implications for improving practice. Nevertheless, most of current complexity activity in health and medical care has been theory-based using the organizing principles of complex adaptive systems to frame and intervene in systems in the real world. In this edition, Gell focuses on the macro health system and analyses the carbon cycle involved in ‘producing’ heath care in its current social construction and policy directions 5. He explores the evolution of the health care enterprise in terms of response to the combined challenges of climate change and scarcity of natural resources with implications for the step change taking place across the global economy. Closer to everyday health services are three papers that are about political and sometimes controversial aspects of health care philosophy in relation to health care organizations and practice. Jordon, Lanham, Anderson and McDaniel draw on findings from their research to suggest the usefulness of theories of complex adaptive systems in guiding research interpretation 6. They address the implications for interpreting research observations in health care organizations in relation to observing relationships among diverse agents and among agents that can inform the study of health service delivery. The paper by Downe 7 is a philosophical and conceptual analysis of the complex and sometimes conflicted and confused arena of childbirth and where the translation of formally condoned ‘evidence’ into practice has been highly problematic internationally. Martin and Kaspersky 8 present a real world case study of dealing with the philosophy, vision and practical issues when key provider groups, recognizing the limitations of linear research, convened to reach a working consensus about how to resolve workforce and professional barriers to collaboration improve care for mothers, babies and families in Ontario. In a sense, this paper seeks to apply many of the principles and methods of complex adaptive systems expounded by Jordan et al.6 and the analysis of Downe 7 in the process of health system transformation. Thus in complexity in relation to health systems – we have approaches ranging from mathematical modelling to sophisticated thought experiments and analysis to case studies of real world activities. While complexity-informed research has not yet transformed the mainstream, and is often surrounded by mystique or the notion that complexity is a fad, this forum is demonstrating the depth of the field and why it deserves greater attention and more serious study.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,048

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,014
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0030,035
Communication savante0,0110,012
Science ouverte0,0020,006
Intégrité de la recherche0,0050,006
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,202
Tête enseignante GPT0,545
Écart entre enseignants0,343 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations4
Publié2010
Routes d'admission2
Résumé présentoui

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