Validation of a form for assessing the professional performance of residents in cardiology by nurses
Bibliographic record
Abstract
BACKGROUND: There is a strong need for transformation in our assessment systems from one that evaluates performance based on levels of training to another that focuses on professional competence to meet the expected requirements for the practice of the profession. The aim of this study is to validate for the first time a Spanish version of a new tool for assessing the professional performance of residents by nurses newly developed in the Ottawa Hospital (O-RON). MATERIALS AND METHODS: After the author's written authorization, the original O-RON form was translated and cross-culturally adapted. Then we conducted a prospective observational study in two cardiology centers in the city of Buenos Aires. The validity of the tools was evaluated by the ability of the instrument to discriminate the level of experience of the residents according to their post-graduate year level. Data is expressed as percentages and frequencies of the qualifications obtained in the different questions. The chi-square test was used to assess the significance of the differences obtained. A generalizability test was used to evaluate reliability. Feasibility was defined as a minimum of 4 assessments per resident per evaluation round. Satisfaction of evaluators was assessed using a survey with a 10-point scale designed by the authors. RESULTS: A total of 838 evaluations were performed. Regarding validity, the 15-item form could significantly discriminate the experience of the residents according to their postgraduate year level ( P < 0,005). Thirty evaluations per resident are required to obtain reliable results. The tool is feasible to implement and an average of 4.55 assessment per resident per evaluation round were achieved throughout the entire experience. This value remained stable during the 8 rounds (1st: 4.65; 2nd: 4.34; 3 rd : 4.47; 4 th : 6.17; 5 th : 4.56; 6 th : 4.08; 7 th : 4.36; 8 th : 3.91). The levels of satisfaction among the evaluators were acceptable. CONCLUSION: The Spanish version of the O-RON form can provide residents with a valuable source of feedback from the eyes of nurses on important aspects of their professional training. This tool, positively assessed by the raters, significantly discriminates residents' experience. Its implementation is feasible in our environment, and it is user-friendly, though it requires a considerable number of assessments to achieve high reliability.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".