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Record W6980872184

Cultivating Comfort: Examining Participant Satisfaction with Hypnotic Communication Training in Pain Management

2024· article· en· W6980872184 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2024
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisTrainerQualitative researchTraining (meteorology)Presentation (obstetrics)Pain managementManagement training
DOInot available

Abstract

fetched live from OpenAlex

Éloïse Cardinal,1,2 Karine Bilodeau,2,3 Julie Lebeau,2,3 Maryse Aubin,2 Joséphine Guiné,2 Odile Dutey-Harispe,2 Julie Delage,1,2 Rémi Caron-trahan,1,2 Jade Véronneau,2 Mathieu Landry,1,2 David Ogez2,4 1Department of Psychology, Faculty of Arts and Sciences, University of Montreal, Montreal, Quebec, Canada; 2Centre de recherche de l’Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada; 3Faculty of Nursing Sciences, University of Montreal, Montreal, Quebec, Canada; 4Department of Anesthesiology and Pain Medicine, Faculty of Medicine, University of Montreal, Montreal, Quebec, CanadaCorrespondence: David Ogez, Tel +1 (514) 252-3400 X 4443, Email david.ogez@umontreal.caContext: One in four Canadians experiences chronic pain, yet insufficient services and restrictions surrounding prevailing treatments result in inadequate management and significant negative consequences for these individuals. Previous work indicates that hypnotic communication represents a promising complementary treatment; however, training protocols for healthcare professionals are underdeveloped and understudied.Aim: To evaluate the level of satisfaction for a training program on hypnotic communication in pain management clinics.Design: Qualitative study.Methods: Six health professionals who first completed the hypnotic communication training participated in 30 minutes virtual semi-structured interviews. These testimonials allowed them to elaborate on their user experience and potential areas for improvement. Thematic analysis using qualitative data management software NVIVO was conducted on the interview data.Results: Two themes emerged from the interviews. 1) Satisfaction: Participants expressed satisfaction on various structural aspects of the training, including the provided materials, atmosphere, training structure, presentation modalities, practical workshops, acquired knowledge, trainer quality, and training duration. 2) Areas for Improvement: Five main improvement suggestions were identified (providing more material; more practical workshops, more concrete and adapted; testimonials from former patients; follow-up training meeting; and continuing education).Implications for the Profession and/or Patient Care and Conclusion: The results improved the training program to help minimized inherent biases related to this technique, cut associated costs, and identify reasons that would explain its underutilization among medical professionals in Quebec. Our work highlights that healthcare professionals in chronic pain management clinics (eg, respiratory therapists, nurses) can incorporate this simple hypnotic communication technique into their usual care and contribute to the well-being of patients.Impact: This study aimed to address the lack of training protocols for healthcare professionals, that are underdeveloped and understudied. The main findings on participant’ satisfaction and the areas of improvement for the training will help the refinement of the training to better suit healthcare professional’s needs in hospitals and chronic pain facilities.Keywords: chronic pain, non-pharmacological treatment, hypnosis, communication, training, qualitative research, satisfaction

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)0.022
metaresearch head score (Gemma)0.053
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 score0.022
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.053
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.003
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 head0.507
GPT teacher head0.545
Teacher spread0.038 · 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
Published2024
Admission routes1
Has abstractyes

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