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Enregistrement W7043461865

Supporting and enhancing the implementation of outcome measures in Children and Young People’s Occupational Therapy.

2021· dissertation· en· W7043461865 sur OpenAlexaboutno aff

Notice bibliographique

RevueQueen Margaret University Publications Repository (Queen Margaret University) · 2021
Typedissertation
Langueen
DomaineMaterials Science
ThématiqueEnzyme Structure and Function
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOccupational therapyGeneral partnershipService (business)Government (linguistics)Outcome (game theory)Work (physics)Best practice
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Executive summary This project involved a partnership between NHS Borders Children and Young People’s (CYP) occupational therapy service and a Queen Margaret University (QMU) fourth year student (Appendix 1). NHS Borders CYP occupational therapy is a community-based team, providing services to CYP with a diverse range of difficulties aged from 0-18 years. They work with CYP who experience difficulties with the functional skills necessary for everyday life, aiming to ensure all CYP are physically, psychologically and socially as independent as possible (NHS Borders 2020). NHS Borders CYP lead occupational therapist identified the use of outcome measures as an area of their practice requiring further development1. The service required to gain a clearer understanding with regards to which outcome measures are currently used in practice and the impact of using them. The Royal College of Occupational Therapists (RCOT) (2020) acknowledge outcome measures as a fundamental aspect of occupational therapy practice. The use of outcome measures is recognised in the Scottish Government (2016) policy Ready to Act where Allied Health Professionals (AHP) are required to evidence the effectiveness of their interventions. The agreed aim of this project was to develop an electronic leaflet containing information about outcome measures used within CYP occupational therapy. This project was guided by service development. Service development involves implementing changes in order to advance practice. To develop the leaflet, information had to be gathered. A survey was selected as the most cost and time effective method of gathering information direct from CYP occupational therapists, regarding the use of 1 The project leader worked with the lead occupational therapist in NHS Borders CYP occupational therapy service, however the project was conducted for the benefit of the service as a whole. 2 outcome measures in their practice. A qualitative survey was distributed online in order to gain a range of responses and opinions. The information gained was analysed and developed into an electronic leaflet. Three outcome measures commonly used with CYP emerged from the findings and were included in the leaflet. These included the Canadian Occupational Performance Measure (COPM), the Perceived Efficacy and Goal Setting (PEGS) and Talking Mats. There were three common benefits of using outcome measures in CYP occupational therapy highlighted in the findings. These included “creates evidence”, “provides motivation” and “provides focus”. Two common challenges of using outcome measures in CYP occupational therapy were established, including “children’s needs” and “time and workload”. The electronic leaflet developed provided NHS Borders CYP occupational therapy service with information about outcome measures they could use with CYP, as well as the benefits and challenges of using them. As a result, the service should be able to use the leaflet to consider the selection and implementation of outcome measures within their practice. Overall, this could improve their service delivery and ensure the needs of CYP are met. An abstract for the World Federation of Occupational Therapists (WFOT) upcoming conference ‘Occupational R-Evolution’ is presented in Appendix 2.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,010
Tête enseignante GPT0,251
Écart entre enseignants0,241 · 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 tête enseignante, pas un consensus.

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
Publié2021
Routes d'admission1
Résumé présentoui

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