Nursing interventions for patients with COVID-19: A medical record review and nursing interventions classification study
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
PURPOSE: To describe the nursing interventions provided to patients with COVID-19 using the Nursing Interventions Classification. METHOD: This is a retrospective study involving the review of 1,344 patient records of adults admitted to a specialty hospital for COVID-19 in Tabriz, Iran. The nursing intervention was used to classify documented nursing care and interventions provided to COVID-19-positive patients from February 20 to August 20, 2020. Data were analyzed descriptively using SPSS16. FINDINGS: The 10 most frequently documented nursing interventions across in-patient (ward) and intensive care unit (ICU) contexts included Admission Care (7310), Environmental Management (6486), Health Education (5510), Infection Protection (6550), Medication Administration (2300), Positioning (0840), Respiratory Monitoring (3350), Vital Signs Monitoring (6680), Nausea Management (1450), and Diarrhea Management (0460). No records of distraction, relaxation techniques, or massage for anxiety reduction were documented. CONCLUSION: This study used a common language to describe nursing interventions for patients with COVID-19 admitted to a tertiary hospital. IMPLICATIONS FOR NURSING PRACTICE: The most commonly identified nursing interventions for COVID-19 identified in this study provide evidence-based insight into nurses' scope of practice in the COVID-19 in-patient context.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it