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Record W3151654116 · doi:10.1097/acm.0000000000004114

What Is the State of Compassion Education? A Systematic Review of Compassion Training in Health Care

2021· review· en· W3151654116 on OpenAlexafffund
Shane Sinclair, Jane Kondejewski, Priya Jaggi, Liz Dennett, Amanda L. Roze des Ordons, Thomas F. Hack

Bibliographic record

VenueAcademic Medicine · 2021
Typereview
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsSt. Boniface HospitalUniversity of AlbertaUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsCompassionPsychological interventionCINAHLHealth carePsychologyMEDLINEEmpathyIntervention (counseling)Medical educationNursingMedicineSocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: To investigate the current state and quality of compassion education interventions offered to health care providers during training or practice, determine how the components of each education intervention map onto the domains of an empirically based clinical model of compassion, and identify the most common approaches to compassion education. METHOD: The MEDLINE, Embase, CINAHL Plus with Full Text, Sociological Abstracts, Web of Science, ERIC, and Education Research Complete databases were searched from inception to March 2020 in this systematic review. Studies that evaluated a compassion education intervention for health care providers or those in training to enhance compassion toward patients and/or families were included. A narrative synthesis of the included studies was performed. The components of each intervention were mapped onto the domains of compassion described in the Patient Compassion Model. RESULTS: One hundred eight peer-reviewed publications describing 103 interventions were included. Modalities ranged from establishing curricula and interventions in clinical settings to programs that used humanities-based reflective practices, clinical simulation, role modeling, and contemplative practices, with many education interventions adopting a multimodal approach. Most interventions mapped to the virtuous response domain of the Patient Compassion Model; very few mapped to the other domains of this model. CONCLUSIONS: Most interventions were limited as they focused on a single domain of compassion; did not adequately define compassion; were assessed exclusively by self-report; were devoid of a comparator/control group; and did not evaluate retention, sustainability, and translation to clinical practice over time. The authors suggest that compassion education interventions be grounded in an empirically based definition of compassion; use a competency-based approach; employ multimodal teaching methods that address the requisite attitudes, skills, behaviors, and knowledge within the multiple domains of compassion; evaluate learning over time; and incorporate patient, preceptor, and peer evaluations.

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)0.024
metaresearch head score (Gemma)0.112
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.112
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0090.006
Bibliometrics0.0160.018
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.120
GPT teacher head0.492
Teacher spread0.372 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations120
Published2021
Admission routes2
Has abstractyes

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