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Record W2903464618 · doi:10.1080/13561820.2018.1551867

Using reflective practice in interprofessional education and practice: a realist review of its characteristics and effectiveness

2018· review· en· W2903464618 on OpenAlexafffund
Amélie Richard, Mathieu Gagnon, Emmanuelle Careau

Bibliographic record

VenueJournal of Interprofessional Care · 2018
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversité LavalUniversité de SherbrookeCentre for Interdisciplinary Research in Rehabilitation
FundersFonds de Recherche du Québec - Santé
KeywordsReflective practicePsychological interventionRelevance (law)Medical educationSocial workIntervention (counseling)Interprofessional educationBest practiceMedicinePsychologyNursingHealth carePedagogyPolitical science

Abstract

fetched live from OpenAlex

This article presents the results of a realist review of the use of reflective practice interventions aimed at improving interprofessional education and collaborative practice (IPECP). Reflective practice is recognized as one of the determining factors in health and social service professionals' skills development and maintenance, as well as in the establishment of good collaboration practices. In this respect, it is a key element of interprofessional education (IPE) and its relevance in this field is being asserted more and more strongly. However, few studies have been conducted to document its effectiveness. The purpose of this article is therefore to advance knowledge in this field. Searches in health and social services electronic databases identified six studies presenting reflective practice interventions in IPECP aimed at enhancing collaboration among students or practicing professionals. Analysis provided preliminary answers as to the effectiveness of reflective practice interventions in IPECP, as well as pertinent information on the best methods for achieving effectiveness. It concludes by proposing recommendations designed to change reflective practice interventions in IPECP and by stressing the importance of further research in order to document more fully the effectiveness of reflective practice in IPECP and to identify the most promising intervention methods in this regard.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.370
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.095
GPT teacher head0.586
Teacher spread0.491 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations51
Published2018
Admission routes2
Has abstractyes

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