Knowledge and Attitudes of Nurses in Spain about Inhaled Therapy: Results of a National Survey
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The main problem with inhalation therapy is incorrect use of inhalers. Nurses' limited knowledge may contribute to this situation. This study aimed to assess the level of knowledge and attitudes of respiratory nurses about inhaled therapy. METHODS: A 12-item multiple-choice questionnaire was sent to members in the Nursing Area of the Spanish Society of Pneumology and Thorax Surgery and to nurses working with respiratory patients using inhalers devices. The survey was voluntary, self-administered, and anonymous. It collected demographic characteristics, preferences, and knowledge and education about devices and inhalation technique. RESULTS: A total of 1496 nurses completed the questionnaire correctly. Results showed 65.4% preferred dry powder inhalers (DPI), 8.7% were familiar with all 12 devices listed, 59.6% identified "firing the device after beginning inspiration" as the most important step when using the pressurized metered dose inhaler (pMDI), 53.5% identified ''inhale deeply and forcefully'' as the most significant step using DPI, and 20.4% "always checked a patient's inhalation technique when a new inhaler was prescribed." A composite, variable, general inhaled therapy knowledge pooled the correct answers related to knowledge and showed only 14% of nurses had adequate knowledge of inhaled therapy. CONCLUSIONS: In spite of recent training activities, knowledge concerning use of inhaler devices among Spanish nurses managing patients with respiratory diseases continues to be poor. Improvements are also needed in patient education and follow-up of inhalation techniques. Undergraduate and postgraduate educational programs need to be further developed.
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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 | 0.003 | 0.001 |
| 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 | 0.000 |
| 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 it