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Record W4210411041 · doi:10.1007/s40271-022-00571-1

What is the Most Valid and Reliable Compassion Measure in Healthcare? An Updated Comprehensive and Critical Review

2022· review· en· W4210411041 on OpenAlexafffund
Shane Sinclair, Jane Kondejewski, Thomas F. Hack, Harrison Boss, Cara C. MacInnis

Bibliographic record

VenuePatient · 2022
Typereview
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity of ManitobaAcadia UniversitySt. Boniface HospitalUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsMeasure (data warehouse)CompassionHealth carePsychologyComputer sciencePhilosophyPolitical scienceData mining

Abstract

fetched live from OpenAlex

Our previous review of compassion measures in healthcare between 1985 and 2016 concluded that no available measure assessed compassion in healthcare in a comprehensive or methodologically rigorous fashion. The present study provided a comparative review of the design and psychometric properties of recently updated or newly published compassion measures. The search strategy of our previous review was replicated. PubMed, MEDLINE, CINAHL, and PsycINFO databases and grey literature were searched to identify studies that reported information on instruments that measure compassion or compassionate care in clinicians, physicians, nurses, healthcare students, and patients. Textual qualitative descriptions of included studies were prepared. Instruments were evaluated using the Evaluating Measures of Patient-Reported Outcomes (EMPRO) tool. Measures that underwent additional testing since our last review included the Compassion Competence Scale (CCS), the Compassionate Care Assessment Tool (CCAT) © , and the Schwartz Center Compassionate Care Scale (SCCCS)™. New compassion measures included the Sussex-Oxford Compassion for Others Scale (SOCS-O), a self-report measure of compassion for others; the Bolton Compassion Strengths Indicators (BSCI), a self-report measure of the characteristics (strengths) associated with a compassionate nurse; a five-item Tool to Measure Patient Assessment of Clinician Compassion (TMPACC); and the Sinclair Compassion Questionnaire (SCQ). The SCQ was the only measure that adhered to measure development guidelines, established initial construct validity by first defining the concept of interest, and included the patient perspective across all stages of development. The SCQ had the highest EMPRO overall score at 58.1, almost 9 points higher than any other compassion measure, and achieved perfect EMPRO subscale scores for internal consistency, reliability, validity, and respondent burden, which were up to 43 points higher than any other compassion measure. These findings establish the SCQ as the ‘gold standard’ compassion measure, providing an empirical basis for evaluations of compassion in routine care.

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)0.044
metaresearch head score (Gemma)0.213
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.044
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.213
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0250.017
Science and technology studies0.0020.003
Scholarly communication0.0060.010
Open science0.0040.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.232
GPT teacher head0.497
Teacher spread0.265 · 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 designNot applicable
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

Citations37
Published2022
Admission routes2
Has abstractyes

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