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Record W3143692132 · doi:10.1080/21642850.2021.1903326

Elaboration and refinement of a motivational communication training program for healthcare professionals in pediatric oncology: a feasibility and acceptability study

2021· article· en· W3143692132 on OpenAlexaff
Sébastien Dewez, Catherine Laurin, David Ogez, Claude Julie Bourque, Daniel Curnier, Caroline Laverdière, Ariane Lévesque, Valérie Marcil, Daniel Sinnett, Serge Sultan

Bibliographic record

VenueHealth Psychology and Behavioral Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsHôpital Maisonneuve-RosemontHôpital du Sacré-Cœur de MontréalUniversité de MontréalUniversité du Québec à MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsAttendancePediatric oncologyThematic analysisMedicineHealth professionalsIntervention (counseling)PsychologyHealth careFamily medicineMedical educationNursingQualitative researchCancerInternal medicine

Abstract

fetched live from OpenAlex

Introduction A healthy lifestyle could have a positive impact in reducing the incidence of some long-term sequelae secondary to pediatric cancer treatments. Motivational communication (MC) is effective at improving healthy lifestyle habits, especially when patients experience change as a challenge. To date, there is no available intervention program using MC that promotes healthy lifestyles in pediatric oncology.Objectives The aim of this study was to develop the first MC training program for professionals in pediatric oncology and assess its feasibility and acceptability.Materials and methods Following standard procedures involving professionals, we developed a professional-targeted training named the Motivation Cafés, consisting in six sessions of core MC skills for healthcare professionals who wish to positively impact lifestyles of families in pediatric oncology. We used a mixed-methods quantitative-qualitative study to assess the program feasibility and acceptability. Professionals in nutrition and physical activity (N = 16) attended two rounds of the training and completed surveys to evaluate the training. They reported self-efficacy and knowledge in MC. Participation and retention rates were used to assess acceptability and feasibility, and a thematic analysis of the open-ended questions was performed to identify strengths and weaknesses of the program to further refine the program. We used non-parametric statistics to compare pre-post changes on measures of self-efficacy and knowledge in MC.Results Attendance and retention (average 4.2/6 sessions completed) were high, suggesting very good adherence and feasibility. We also found high levels of acceptability and pertinence of the program (i.e. >90%). The results suggested probable improvements in self-efficacy and knowledge, but these were not statistically significant given the limited sample size.Conclusion The training Motivation Cafés is now ready to be pilot tested in pediatric cancer care centers.

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)0.026
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.282
GPT teacher head0.584
Teacher spread0.302 · 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 designNon-randomized trial
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".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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