MétaCan
Menu
← Retour à la cohorte
Enregistrement W2564425494 · doi:10.1182/blood.v124.21.1311.1311

Quality of Care in Blood and Marrow Transplantation – a Systematic Review in Order to Define a Quality Framework and Develop Quality Indicators

2014· review· en· W2564425494 sur OpenAlexaffabout
Vishal Kukreti, Emma Mauti, Roxanne MacAskill, Christine Chen, Matthew D. Seftel

Notice bibliographique

RevueBlood · 2014
Typereview
Langueen
DomaineMedicine
ThématiqueClinical practice guidelines implementation
Établissements canadiensLeukemia & Lymphoma Society of CanadaPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésAccreditationMedicineQuality managementQuality assuranceBenchmarkingQuality (philosophy)Health careCINAHLDelphi methodProcess managementNursingOperations managementMedical educationComputer sciencePsychological interventionBusinessExternal quality assessmentManagement systemEngineeringPathology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Quality of health care is a major focus for providers, patients, payers and accreditors. Blood and marrow transplantation (BMT) is a complex and specialized process with unique quality needs. Accreditation bodies for BMT programs expect an implemented and coordinated management system. Currently, hospitals performing BMT have many tiers of quality evaluation from hospital accreditation, BMT accreditation, self-evaluation and in Ontario, provincial quality measurement. Hence, a quality framework with a clearly defined process of quality indicator (QI) prioritization, development and measurement is required. Methods: At Princess Margaret Cancer Centre, we conducted a structured review of the literature to identify published QI for BMT. The literature review from 1999 to 2014 focused on BMT with MESH terms including quality improvement/assurance, quality of health care, benchmarking, performance measures/indicators and standards of care. Focus was on the clinical aspects of care and laboratory/cell collection was excluded. We included Medline, Pubmed, Embase and CINAHL databases and a structured “grey zone” literature review. The identified QI were evaluated by a core expert panel and like concepts were merged and quality domains identified. Thereafter, end user engagement of the multidisciplinary team was completed through a modified Delphi Process. QI definitions were evaluated as medidata tables to link to data collection sources. Management/operational related and hospital accreditation QI were evaluated by the expert panel for relevance. A quality framework was then modeled off the Cancer System Quality Index to include the domains of safe, effective, efficient, integrated, equitable, responsive, accessible and innovative. QI were aligned to relevant domains in the framework to give an overall program evaluation and future direction. Results: Structured literature review identified 2211 citations with 111 abstracts meeting the inclusion criteria and only 20 full papers reporting on 114 QI. Grey zone literature review revealed a further 10 sources reporting on 100 QI. Of the 214 QI, 120 were quality domains or quality concepts (“Big Dot”) and not clearly defined QI. With consensus review, 214 QI were merged into 22 clinical and 12 operational/managerial “Big Dot” QI. Of the clinical QI, there were 8 only relevant to allogeneic BMT and 14 were relevant to both autologous and allogeneic BMT (see Table 1). Concurrently, mapping of QI within the framework as well as, alignment of both hospital and provincial BMT QI to the framework and to the 22 clinical QI indicators was done. . Conclusions: An integrated and comprehensive quality management plan is required for BMT which is standards based. We report a framework and strategy to align all quality endeavors occurring at local-regional to national levels as it relates to BMT. We also present a detailed literature review of QI in BMT and the need for more detailed, reproducible indicators in this area. As end-user engagement in quality improvement is necessary, the clinical multidisciplinary team will set QI prioritization for near term and future reporting though a modified Delphi exercise. Table 1: Big Dot Clinical QI in BMT for Prioritization and Development Apheresis Not Performed Due to Insufficient Mobilization Apheresis Not Performed Due to Other Reasons (i.e. progression) Appropriate Donor Screening and Testing Complications During Apheresis Complications During Bone Marrow Harvest Donor Outcomes (i.e. adverse events) Incidence and Measurement of Acute and Chronic Graft vs Host Disease Incidence of ICU Transfers Length of Stay in Hospital Routine Chimerism Analysis Median Time to Engraftment (in days) Number of Patients who enter the program that are not transplanted Nurse Sensitive Outcomes i.e. central venous catheter complications Need for Stem Cell Boost or Second Transplant for Graft Failure Patient Satisfaction at Discharge and at Transitions Rate of Serious Bacterial, Viral and Fungal Infections Readmissions within 30 Days of Discharge Relapse Rate Overall Survival Time to Find an Unrelated Compatible Donor Treatment Related Mortality Whether a Product was Collected From a Donor and Not Infused Disclosures No relevant conflicts of interest to declare.

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)0,041
score de la tête « metaresearch » (Gemma)0,123
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
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 enseignants0,041
Score d'incertitude au seuil0,217

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0410,123
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0090,009
Bibliométrie0,0300,029
Études des sciences et des technologies0,0010,002
Communication savante0,0050,006
Science ouverte0,0030,003
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,187
Tête enseignante GPT0,526
Écart entre enseignants0,339 · 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'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

Citations0
Publié2014
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetClinical practice guidelines implementation→Travaux en français237 207→