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Record W4414218242 · doi:10.1136/ebm-2025-pod.53

053 Practising wisely: how a one-day workshop successfully reduces overmedicalization among family doctors and residents in Canada

2025· article· en· W4414218242 on OpenAlexaffabout
Samuel Boudreault, Genevieve Bois, René Wittmer, Guylène Thériault

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsUniversité de MontréalUniversité LavalWomen in Science and Engineering Newfoundland and Labrador
Fundersnot available
KeywordsPatient careFocus groupProgram directorPrimary careProgram evaluation

Abstract

fetched live from OpenAlex

In 2015, the Practising Wisely workshop emerged as a collaborative effort between the Ontario College of Family Physicians, physicians engaged with the Choosing Wisely Canada campaign, and other partners. The program focused on promoting wise clinical decision-making and enhancing patient care through evidence-based practices. Over the years, it garnered momentum and support, and the program underwent a comprehensive update in 2019, leveraging the expertise of a national scientific committee to ensure the program’s content remained aligned with the latest medical insights and recommendations. This interactive seven-hour workshop is divided into four modules that progressively cover different key topics: Judicious prescribing (with a focus on imaging) Shared decision-making (including examples related to cardiovascular and fracture risk) Cancer screening and overdiagnosis Polypharmacy and deprescribing The hands-on, case-based learning format ensures practical learning and collaboration. Delivered directly in clinics upon request, the workshop encourages team-based participation, fostering an environment where implementing change becomes more seamless and effective. Since 2021, sessions have also been offered to family medicine residents of the four Quebec faculties of medicine. Objectives Describe the Practising Wisely workshop format and its changes over the years Identify the impacts of the Practising Wisely program in tackling low-value care and overdiagnosis Identify challenges and future needs Method The workshop content is reviewed annually by a scientific committee. The facilitators are all family physicians. Before being able to deliver the workshop, all facilitators must attend at least two sessions and participate in an annual update training. All sessions are presented by two presenters, including at least one senior presenter. Participant feedback is collected after each session, and reflective practice questionnaires are also gathered after 3 months. The reflective practice questionnaires include sections on the changes participants have implemented in their practice, the progress made in their clinical skills, and the clinical tools that participants have integrated into their daily practice. The data is compiled annually. Logistical support is provided by the Quebec College of Family Physicians. Results Since 2017, over 70 sessions have brought together more than 1,300 participants, including over 400 family medicine residents. The sessions have also increasingly included nurse practitioners. 97% of participants reported a positive impact of the training on their practice, and 96% successfully implemented at least one change within 3 months, ranging from judicious management of lipid-lowering medications to more thoughtful periodic medical exams and screening. 73% of residents also reported a significant reduction in the number of unnecessary laboratory tests. Conclusions A hands-on workshop like Practising Wisely is an opportunity to foster interest in resource stewardship and can have a significant impact on the clinical practice of family doctors and residents.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0120.002
Scholarly communication0.0020.001
Open science0.0030.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.331
GPT teacher head0.493
Teacher spread0.161 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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