MétaCan
Menu
Retour à la cohorte
Enregistrement W2128092384 · doi:10.1002/14651858.cd004910.pub2

Effectiveness of shared care across the interface between primary and specialty care in chronic disease management

2007· review· en· W2128092384 sur OpenAlexaff
Susan M. Smith, Shane Allwright, Tom O’Dowd

Notice bibliographique

RevueCochrane Database of Systematic Reviews · 2007
Typereview
Langueen
Domaine
Thématique
Établissements canadiensTrinity College
Organismes subventionnairesnon disponible
Mots-clésMedicinePrimary careSpecialtyDisease managementDiseaseInterface (matter)Physical therapyFamily medicineInternal medicineComputer science

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Shared care has been used in the management of many chronic conditions with the assumption that it delivers better care than either primary or specialty care alone. It has been defined as the joint participation of primary care physicians and specialty care physicians in the planned delivery of care, informed by an enhanced information exchange over and above routine discharge and referral notices. It has the potential to offer improved quality and coordination of care delivery across the primary-specialty care interface and to improve outcomes for patients. OBJECTIVES: To determine the effectiveness of shared-care health service interventions designed to improve the management of chronic disease across the primary-specialty care interface. SEARCH STRATEGY: We searched the Cochrane Effective Practice and Organisation of Care Group (EPOC) Specialised Register (and the database of studies awaiting assessment); Cochrane Central Register of Controlled Trials (CENTRAL); Database of Abstracts of Reviews of Effects (DARE); MEDLINE (from 1966); EMBASE (from 1980) and CINAHL (from 1982). We also searched the reference lists of included studies. SELECTION CRITERIA: Randomised controlled trials, controlled before and after studies and interrupted time series analyses of shared-care interventions for chronic disease management. The participants were primary care providers, specialty care providers and patients. The outcomes included physical health outcomes, mental health outcomes, and psychosocial health outcomes, treatment satisfaction, measures of care delivery including participation in services, delivery of care and prescribing of appropriate medications, and costs of shared care. DATA COLLECTION AND ANALYSIS: Three review authors independently assessed studies for eligibility, extracted data and assessed study quality. MAIN RESULTS: Twenty studies of shared care interventions for chronic disease management were identified, 19 of which were randomised controlled trials. The majority of studies examined complex multifaceted interventions and were of relatively short duration. The results were mixed. Overall there were no consistent improvements in physical or mental health outcomes, psychosocial outcomes, psychosocial measures including measures of disability and functioning, hospital admissions, default or participation rates, recording of risk factors and satisfaction with treatment. However, there were clear improvements in prescribing in the studies that considered this outcome. The methodological quality of studies varied considerably with only a minority of studies of high-quality design. Cost data were limited and difficult to interpret across studies. AUTHORS' CONCLUSIONS: This review indicates that there is, at present, insufficient evidence to demonstrate significant benefits from shared care apart from improved prescribing. Methodological shortcomings, particularly inadequate length of follow-up, may partially account for this lack of evidence. This review indicates that there is no evidence to support the widespread introduction of shared care services at present. Future shared-care interventions should only be developed within research settings and with account taken of the complexity of such interventions and the need to carry out longer studies to test the effectiveness and sustainability of shared care over time.

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)0,014
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesMéta-épidémiologie (sens strict)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,067
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0140,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0150,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0020,002
Intégrité de la recherche0,0000,001
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 Opus0,084
Tête enseignante GPT0,424
Écart entre enseignants0,340 · 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'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations230
Publié2007
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueCochrane Database of Systematic ReviewsTravaux en français237 207