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Enregistrement W4387764642 · doi:10.1111/tct.13684

Clinical interprofessional education for integrated care: Articulating competencies

2023· article· en· W4387764642 sur OpenAlexaboutno aff
Aislinn Joy, Aoife Fleming

Notice bibliographique

RevueThe Clinical Teacher · 2023
Typearticle
Langueen
DomaineHealth Professions
ThématiqueInterprofessional Education and Collaboration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHealth careMedical educationIntegrated carePsychologyTask (project management)Competence (human resources)NursingMedicineEngineeringPolitical science

Résumé

récupéré en direct d'OpenAlex

Integrated care (IC) is designed to help keep older persons and those living with chronic illness out of hospital and in their homes for as long as possible. Definitions of IC are wide and varied, but the most comprehensive understanding is that IC requires coordination across the social worlds of public health, the patient/client, social and health care (mental and physical) services and professionals, between primary, secondary and tertiary care systems. Therefore, the task of articulating interprofessional (IP) competencies with emerging IC competencies has the added complexity of integrating systems-based with IP competencies. The task of articulating IP competencies with emerging IC competencies has [the] added complexity. Jill Thislethwaite, in this journal,1 has already provided an insight into the complexity of ‘integrated care and interprofessional education’. Clinical educators will need to educate and develop the health and social care professions of the future for IPIC. Here, we reflect on two recent articulations of IPIC competencies in the literature. We then provide examples from our own IP learning (IPL) practice, as IPL coordinators for health care students, exploring how and where we integrated IP competencies with domain-based competencies for a practice that transcends all types of IC: medication safety at transitions of care for patients. Clinical educators will need to … develop the health and social care professions of the future for IPIC. For IP clinical educators, the articulation of IP practice competencies with emerging IC competencies is gaining traction. Using a qualitative participatory co-design process, O'Donnell et al.2 published a ‘starter kit’ for the development of IP collaboration competencies for IC teams working with older people in Ireland. This resulted in the generation of an IP collaboration competency framework for IC, comprising three domains (knowledge of the team; communication; shared decision making) and six competencies (understanding roles and making referrals; sharing information and communicating effectively; supporting decision-making with older people and collective clinical decision-making) (Table 1). A recent scoping review by Michielsen et al. articulated the IP primary care competencies for IC of people living with chronic illness.3 These IPIC competencies can be seen in the third column of Table 1. The articulation of IP practice competencies with emerging IC competencies is gaining traction. For our student IPL activity, a clinical site experiential learning session, we address medication safety across transitions of care. The World Health Organization (WHO) ‘Medication Without Harm’ framework4 provides us with a means for articulating to students the activity aim: for health care students to work interprofessionally on reducing medication-related harm. The IPL activity based in the hospital setting involves medication reconciliation and optimisation for patients upon admission, addressing medication safety at transition of care from primary care setting (community-based care, home or nursing home) to hospital. The IP teams collaborate and communicate with each other as a team, and they take leadership of the task and engage with the patient in the hospital setting. Within the WHO framework, there are four domains (patients and the public, systems and practices of medication, health care professionals and medications), 16 subdomains (four for each domain) and three key action areas: (i) polypharmacy; (ii) high risk situations and (iii) transitions of care. By mapping the subdomains of this WHO framework to IPL competencies in the Canadian Interprofessional Health Collaborative (CIHC) framework,5 we generated an articulation of IPL competencies for this type of IC practice (see Table 1, first column). To answer the question ‘are interprofessional competencies for integrated care universal?’, we mapped our generated IPL competencies for medication safety across transitions of care to the developed IP competencies for IC of older persons2 (see Table 1). Upon comparison, all IPIC competencies match in terms of concept, and the terminology applied to articulate the construct are the same across (i) patient engagement, (ii) communication and (iv) collaboration, but less so for (iii) teamwork and (v) leadership (‘knowledge of team’ or ‘understanding roles’ instead of ‘teamwork’; ‘collective decision-making’ instead of ‘leadership’ or ‘shared leadership’). However, when comparing IPIC competencies for chronic illness generated by the scoping review by Michielsen et al.,3 we found that all IPL competencies for our type of IC area (column 1) matched exactly, articulating with the IPIC competencies from the review (column 3). We can conclude that overlap exists between IP competencies generated for our IP medication safety education across transitions of care and different IC programme competency frameworks, but that not all of them are articulated exactly in the same way. This reflection might prompt debate in the field about whether we, as IP educators, or members of the IPIC community, should be articulating IP competencies using the same lexicon across all IC programmes, rather than separate ones. Further work to connect IP and IC, especially to embed these frameworks efficiently and constructively to guide health care education, is necessary to support the development of IPIC guided programmes and articulation of IPIC competencies. Debate about whether we …. should be articulating IP competencies using the same lexicon across all IC programmes. Aislinn Joy: Conceptualization; writing—original draft; writing—review and editing. Aoife Fleming: Writing—review and editing. The authors have no acknowledgement to disclose. Open access publishing has been facilitated by University College Cork, as part of the Wiley - University College Cork agreement via the IreL Consortium of Irish research libraries. The authors have no conflict of interest to disclose. The authors have no ethical statement to declare. Data sharing not applicable to this article as no datasets were generated or analysed during the current 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 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)0,005
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,125
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,002

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 Opus0,179
Tête enseignante GPT0,578
Écart entre enseignants0,399 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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