How to measure cultural competence when evaluating patient-centred care: a scoping review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objectives The purpose of this study was to identify patient-centred quality indicators (PC-QI) and measures for measuring cultural competence in healthcare. Design Scoping review. Setting All care settings. Search strategy A search of CINAHL, EMBASE, MEDLINE, PsycINFO, Social Work Abstracts and SocINDEX, and the grey literature was conducted to identify relevant studies. Studies were included if they reported indicators or measures for cultural competence. We differentiated PC-QIs from measures: PC-QIs were identified as a unit of measurement of the performance of the healthcare system, which reflects what matters to patients and families, and to any individual that is in contact with healthcare services. In contrast, measures evaluate delivery of patient-centred care, in the form of a survey and/or checklist. Data collected included publication year and type, country, ethnocultural groups and mention of quality indicator and/or measures for cultural competence. Results The search yielded a total of 786 abstracts and sources, of which 16 were included in the review. Twelve out of 16 sources reported measures for cultural competence, for a total of 10 measures. Identified domains from the measures included: physical environment, staff awareness of attitudes and values, diversity training and communication. Two out of 16 sources reported PC-QIs for cultural competence (92 structure and process indicators, and 48 outcome indicators). There was greater representation of structure and process indicators and measures for cultural competence, compared with outcome indicators. Conclusion Monitoring and evaluating patient-centred care for ethnocultural communities allows for improvements to be made in the delivery of culturally competent healthcare. Future research should include development of PC-QIs for measuring cultural competence that also reflect cultural humility, and the involvement of ethnocultural communities in the development and implementation of these indicators.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it