Objective structured clinical evaluation of clinical competence: an integrative 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
AIM: This paper presents an integrative literature review conducted to describe the utility of the objective structured clinical evaluation (OSCE) as a strategy of measuring one form of clinical competence in nursing. BACKGROUND: The emergence of the OSCE, one form of evaluation of clinical competence used in medicine, is gaining more scrutiny and consideration in nursing education. DATA SOURCES: The review was conducted through an initial search of computerized databases CINAHL, Cochrane Database of Systematic Reviews, Academic Search Premier and MEDLINE for the period from 1960 to 2008. METHODS: An integrative review was performed and 41 papers met the inclusion criteria. RESULTS: The complexities of evaluating clinical competence can be addressed through use of an OSCE process. Concerns related to the conceptual limitations and the lack of psychometric properties of the tools available for measurement in nursing education have been identified. CONCLUSION: Major gaps exist in the nursing literature regarding the examination of the psychometric properties of the OSCE, the suitability of the design of the OSCE structure and tools for nursing to measure clinical competency, and the associated costs in the application of this evaluative method. Research conducted on the psychometric properties of the OSCE tool used and correlations to other evaluative methods currently used to evaluate nursing clinical competence would inform educational practices.
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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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