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Record W3102272801 · doi:10.2196/21917

Influence of Self-Compassion on the Health of Midwives and Nurses: Protocol for a Scoping Review

2020· review· en· W3102272801 on OpenAlexvenueno aff
Mitra Javanmard, Mary Steen, Rachael Vernon

Bibliographic record

VenueJMIR Research Protocols · 2020
Typereview
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)PsychologyNursingSelf-compassionCompassionMedicineMedical educationApplied psychologyClinical psychologyAlternative medicineMindfulness

Abstract

fetched live from OpenAlex

BACKGROUND: Self-compassion is recognized to have a positive effect upon a person's health. However, the influence of self-compassion on the health of midwives and nurses is less well understood. Midwives and nurses often work in highly demanding environments and situations, and are exposed to multiple work-based stressors simultaneously. Stressors such as a demanding clinical workload, high acuity, missing breaks, working more than their contracted hours, insufficient resources and staff, and poor patient outcomes can lead to midwives and nurses feeling physically exhausted and at increased risk of poor mental health. Self-compassion may act as a protective factor, assisting midwives and nurses to remain healthy. OBJECTIVE: This scoping review will provide an overview of the evidence base relating to the influence of self-compassion on the health of midwives and nurses. METHODS: The purpose of a scoping review is to comprehensively and systematically review the literature and identify key evidence or gaps. The search strategy for this protocol includes electronic databases such as Medline, Embase, Emcare, PsycInfo, Joanna Briggs Institute, Cochrane Library, and Scopus. Grey literature sources will be also searched, including ProQuest Central, internet search engines (Google Scholar), and manually searched key journals and reference lists of relevant articles. This scoping review will be undertaken in seven stages, guided by established scoping review methods and reporting guidelines: (1) identifying the research questions; (2) identifying relevant studies; (3) selecting the studies; (4) charting the data; (5) collating, summarizing, and reporting the results; (6) consulting; and (7) dissemination of knowledge. Data will be abstracted and presented using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist and explanation by three independent researchers. RESULTS: A preliminary search conducted in Medline (OVID) retrieved 194 results. Completion of the review is expected in December 2020 and will be published in early 2021. CONCLUSIONS: To our knowledge, this will be the first scoping review of evidence-based literature relating to the influence of self-compassion on the health of midwives and nurses. It is anticipated that this analysis of the literature will contribute to understanding how midwives and nurses may use self-compassion in a proactive way to reduce work-based stressors such as burnout, stress, and compassion fatigue. Furthermore, the findings may inform educational needs with implications for clinical practice. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/21917.

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)0.003
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: Systematic review · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.530
GPT teacher head0.688
Teacher spread0.158 · 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 designSystematic review
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

Citations15
Published2020
Admission routes1
Has abstractyes

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