Video Education Program for Proper use of Inhalation Devices in Elderly COPD Patients
Bibliographic record
Abstract
PURPOSE: This research investigated the utility of a QR code-based video pharmaceutical education program to guide the proper use of the inhalation device in elderly chronic obstructive pulmonary disease (COPD) patients. METHODS: The patients were recruited for this prospective study during a COPD hospitalization, with 96 patients in the control group (CG) receiving conventional hospital care and 93 patients in the intervention group (IG) receiving QR code-based video pharmaceutical education from hospitalization to six months after discharge to improve proper utilization of inhalation technology The outcome measures used to assess the effectiveness of the education program were the COPD Assessment Test (CAT), inhaler use accuracy, inhaler technique score, Beliefs about Medicines Questionnaire (BMQ) score and patient satisfaction. RESULTS: Compared with CG, inhaler use accuracy and inhaler use scores improved in the IG group, while BMQ-Concern and CAT scores were significantly lower (P<0.05). Improvements in patient quality-of-life and satisfaction were reported. CONCLUSIONS: This study revealed that the QR code-based video pharmaceutical education program can improve the quality of life and satisfaction of elderly COPD patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".