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Record W3216803454 · doi:10.2196/34372

Self-compassion Education for Health Professionals (Nurses and Midwives): Protocol for a Sequential Explanatory Mixed Methods Study

2021· article· en· W3216803454 on OpenAlexvenueno aff
Mary Steen, Shwikar Othman, Annette Briley, Rachael Vernon, Steven Hutchinson, Susan Dyer

Bibliographic record

VenueJMIR Research Protocols · 2021
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsCompassion fatigueBurnoutCompassionPsychologyFocus groupResearch ethicsMedical educationNursingMedicineClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: A few recent studies have reported that having the ability to provide self-compassion can reduce health professionals' levels of anxiety and stress, the risk of compassion fatigue, and burnout, and it can generally improve their well-being. Therefore, there is evidence to support further research into the investigation and exploration of self-compassion education and training for health professionals. OBJECTIVE: This study aims to increase the knowledge and understanding of self-compassion and how this may enhance the health and well-being of health professionals. METHODS: The proposed research study will adopt a sequential explanatory mixed methods design. This study will be conducted in 3 phases. Phase 1 will use a pre-educational self-compassion questionnaire (web-based survey) to collect data from participants at 3 time points (before, immediately after, and after follow-up at 6-8 weeks) after they have attended a self-compassion education and training program. Phase 2 will use an interview schedule to explore the participants' views and experiences through a follow-up focus group or individual interview. Finally, phase 3 will include data integration and dissemination of key findings and recommendations. RESULTS: This study was approved by the Women's and Children's Health Network Human Research Ethics Committee and the Human Research Ethics Committee at the University of South Australia on June 26, 2021 (ID: 204,074). A scoping review was conducted to inform this research study (focusing on nurses and midwives). The preparatory phase was completed in April 2021. Phase 1 is expected to be completed by June 2022 and phase 2 will commence in July 2022. CONCLUSIONS: The key findings from the data integration for this research project will provide in-depth details and insights to broaden the discussion about self-compassion and its influence on health professionals' health and well-being. Health professionals (nurses and midwives) may benefit from self-compassion education and training programs to improve their health and well-being. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/34372.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.236
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.407
GPT teacher head0.708
Teacher spread0.301 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreProtocol

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

Citations10
Published2021
Admission routes1
Has abstractyes

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