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Enregistrement W3004623360 · doi:10.1016/s2468-2667(20)30007-4

High-value, data-informed, and team-based care for multimorbidity

2020· letter· en· W3004623360 sur OpenAlexaff
Arnaud Chioléro, Nicolas Rodondi, Valérie Santschi

Notice bibliographique

RevueThe Lancet Public Health · 2020
Typeletter
Langueen
DomaineHealth Professions
ThématiqueHealthcare cost, quality, practices
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésHealth careValue (mathematics)MedicinePublic healthNursingPopulation healthPopulationFamily medicinePolitical scienceEnvironmental health

Résumé

récupéré en direct d'OpenAlex

In most settings, care is traditionally physician-centred, but trends are shifting towards a patient-centred health-care system.1NEJM CatalystWhat is value-based health care?.https://catalyst.nejm.org/what-is-value-based-healthcare/Date: Jan 1, 2017Date accessed: December 4, 2019Google Scholar Patient-centred care focuses on the health-care needs and preferences of patients, by allowing patients to become active participants and ensuring that their values guide clinical decisions.1NEJM CatalystWhat is value-based health care?.https://catalyst.nejm.org/what-is-value-based-healthcare/Date: Jan 1, 2017Date accessed: December 4, 2019Google Scholar Jonathan Pearson-Stuttard and colleagues2Pearson-Stuttard J Ezzati M Gregg EW Multimorbidity—a defining challenge for health systems.Lancet Public Health. 2019; 4: e599-e600Summary Full Text Full Text PDF PubMed Scopus (63) Google Scholar called for a patient-centred approach of multimorbidity in the previous issue of The Lancet Public Health. However, we would like to stress that for such an approach to be truly implemented, health-care systems must be designed for the provision of high-value, data-informed, and team-based care. Firstly, the promotion of high-value care is needed for the long-term sustainability of health-care systems. Value-based health care aims to increase the value that is derived from the resources available for a population.3Gray M Value based healthcare.BMJ. 2017; 356: j437Crossref PubMed Scopus (75) Google Scholar Overdiagnosis, overtreatment, and more subtle forms of low-value care and waste are recognised as major threats. However, one major challenge is distinguishing high-value care from low-value care; a hierarchy of evidence-based recommendations needs to be generated through health technological assessments that integrate patients’ preferences. Secondly, the management of multimorbidity should be transformed through data-informed care. Care for multimorbidity is complex, calling for monitoring at the individual level with new health information technology, including through a better use of electronic health records. A surveillance system is also needed at the population level, and we agree with Pearson-Stuttard and colleagues that existing disease surveillance systems have not been used optimally to guide effective action for the management of multimorbidity. The digital transformation of health-care systems will help to improve health surveillance, but these systems have to use data effectively to avoid being “data rich but information poor”.4OECDHealth in the 21st century: putting data to work for stronger health systems. Organisation for Economic Co-operation and Development, Paris2019Crossref Google Scholar Thirdly, team-based care is needed for the integrated and coordinated management of chronic diseases and multimorbidity. Although several types of team-based intervention exist for the management of chronic diseases, such as diabetes or hypertension,5Santschi V Wuerzner G Chiolero A et al.Team-based care for improving hypertension management among outpatients (TBC-HTA): study protocol for a pragmatic randomized controlled trial.BMC Cardiovasc Disord. 2017; 17: 39Crossref PubMed Scopus (14) Google Scholar studies are now needed to evaluate how team-based care can help manage multimorbidity within a patient-centred approach. Digital transformation of health care can also offer opportunities to ease the implementation of team-based care through information systems leveraging data from shared electronic health records. In conclusion, we agree with Pearson-Stuttard and colleagues that several challenges need to be addressed to work towards the provision of high-value, data-informed, team-based, and patient-centred care of multimorbidity; overcoming these challenges will be necessary for the long-term sustainability of health-care systems in aging populations. We declare no competing interests. Multimorbidity—a defining challenge for health systemsMultimorbidity has emerged as one of the greatest challenges facing health services, both presently and in coming decades. Surveillance data on chronic diseases in Scotland, UK, estimate around one in four of their adult population to have two or more long-term conditions.1 By 2035, approximately 17% of the UK population is projected to have four or more chronic conditions, which is almost double the current prevalence (9·8%).2 Hypertension (prevalence 18·2%), depression or anxiety (10·3%), and chronic pain (10·1%) are among the leading contributors to the increasing prevalence of multimorbidity,3 demonstrating the breadth, heterogeneity, and interlinked nature of physical and mental health conditions. Full-Text PDF Open Access

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)0,011
score de la tête « metaresearch » (Gemma)0,012
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0110,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,000
Communication savante0,0000,001
Science ouverte0,0030,001
Intégrité de la recherche0,0010,010
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,803
Tête enseignante GPT0,579
Écart entre enseignants0,223 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations25
Publié2020
Routes d'admission1
Résumé présentoui

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