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BMC Medical Education
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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BMC Medical Education
Article . 2023
Data sources: DOAJ
MacSphere
Article . 2024
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Readiness for interprofessional learning among health science students: a cross-sectional Q-methodology and likert-based study

Authors: Oliveira, Ana; Brewer-Deluce, Danielle; Akhtar-Danesh, Noori; Wojkowski, Sarah;

Readiness for interprofessional learning among health science students: a cross-sectional Q-methodology and likert-based study

Abstract

Abstract Background Interprofessional education (IPE) prepares healthcare students for collaboration in clinical practice, but the effectiveness of this teaching method depends on students’ readiness for and perceptions of IPE. Evaluating students’ readiness for and perceptions of IPE is challenging, due to the lack of comprehensive measures. This study characterized the level of IPE readiness and perspectives across first-year undergraduate and graduate health science students using the readiness for interprofessional learning Likert Scale (RIPLS) and Q-methodologies. Methods This is a cross-sectional, online study. Students were randomized to answer the Likert-scale version of RIPLS (80%) or a matched Q-methodology survey (20%). An ANCOVA compared RIPLS scores between students from different program levels (graduate/undergraduate) and specialization (health professional and general programs). The Q-data was analysed using a by-person factor analysis. Results Three hundred and four (33% response rate) and 71 (30% response rate) students completed the Likert scale and the Q-methodology surveys, respectively. Students from graduate programs demonstrated high readiness for IPE (higher total RIPLS scores p < 0.001) in comparison to undergraduates. Three factors, associated with program specialization (p = 0.04), emerged from the Q-methodology analysis characterizing students learning priorities. Students in undergraduate general programs were focused on IPE relevance and benefits to “the clinical team”, students in graduate programs focused on “the patient”, and those in undergraduate health professional programs focused on themselves (“me”). Conclusions This novel mixed-methods approach combining traditional Likert-scales with Q-methodology elucidated not only associations between program and specialization with readiness (Likert) but also which components of IPE were valued the most (Q-methodology) and by whom.

Countries
Canada, Portugal
Keywords

Interprofessional education, Interprofessional collaboration, readiness for interprofessional learning scale, RIPLS, LC8-6691, Research, R, program evaluation, Special aspects of education, Q-methods, IPE, Cross-Sectional Studies, Learners, Q-methodology, Medicine, Humans, Learning, Students, Correlation of Data, Factor Analysis, Statistical

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
gold