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A systematic review of the effectiveness of interprofessional education in health professional programs
Abstract
Objective The objective of this systematic review was to identify the best available evidence for the effectiveness of university-based interprofessional education for health students.Background Currently, most health professional education is delivered in a traditional, discipline specific way. This approach is limited in its ability to equip graduates with the necessary knowledge, skills and attitudes for effective interprofessional collaboration and for working as part of a complex health care team. Interprofessional education is widely seen as a way to improve communication between health professionals, ultimately leading to improved patient outcomes.Inclusion criteria The review included all randomised controlled trials and quasi-experimental studies in which two or more undergraduate or post-graduate health professional groups are engaged in interprofessional education.Review methods A three-stage comprehensive search of ten electronic databases as well as grey literature was conducted. Two independent reviewers assessed each paper prior to inclusion using the standardised critical appraisal instruments for evidence of effectiveness developed by the Joanna Briggs Institute.Results Nine published studies consisting of three randomised controlled trials, five controlled before and after studies and one controlled longitudinal study were included in the review.Conclusion Student's attitudes and perceptions towards interprofessional collaboration and clinical decision-making can be potentially enhanced through interprofessional education. However, the evidence for using interprofessional education to teach communication skills and clinical skills is inconclusive and requires further investigation.Implications for research Future randomised controlled studies explicitly focused on interprofessional education with rigorous randomisation procedures, allocation concealment, larger sample sizes, and control groups, would improve the evidence base for interprofessional education.
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“However, recent studies show that implementation of interprofessional health science curricula is also encountering barriers and requires long-term financial and political supports.82”
From Barriers and facilitators in the integration of oral health into primary care: a scoping review (2017) · cites this paper as [82]
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Metadata
- Authors
- Lapkin, S., Levett-Jones, T., & Gilligan, C.
- Affiliations
- University of Newcastle Australia (AU)
- Corresponding author
- Lapkin, Samuel
- Venue
- Nurse Education Today
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 33
- Issue
- 2
- Pages
- 90-102
- ISSN
- 0260-6917 (ISSN-L)
- OpenAlex
- W2007720710
- Cited by
- 382
- References
- 30
- Citations by year
- 2026: 16 · 2025: 22 · 2024: 25 · 2023: 22 · 2022: 26 · 2021: 37 · 2020: 33 · 2019: 33 · 2018: 34 · 2017: 37 · 2016: 37 · 2015: 29 · 2014: 16 · 2013: 8
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nurse Education Today (publishedVersion)
- PubMed (publishedVersion)
- UTS ePRESS (University of Technology Sydney) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Funders
- Australian Government
- Topics
- Health Sciences › Health Professions › General Health Professions › Interprofessional Education and Collaboration
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Interdisciplinary Research and Collaboration
- Keywords
- interprofessional education, health professions education, interprofessional collaboration, communication skills, clinical decision-making, student attitudes, teamwork, healthcare teams
- MeSH terms
- Health Personnel, Humans, Interprofessional Relations, Learning, Program Evaluation, Randomized Controlled Trials as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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