Drug related problems in inpatients of Santiago de Cuba
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
Introduction: Drug-related problems are a major health concern because of their high impact on inpatient morbidity. Method: Descriptive and cross-sectional observational, study in the clinical services of five health institutions of Santiago de Cuba, during the first quarter of 2020. The profiles of 329 patients who received pharmacotherapeutic follow-up were reviewed. The sample was characterized according to biosocials, clinical and pharmacotherapeutic variables, the identification of medication-related problems was performed using the criteria of Cipolle, Stramd and Morley, also determining the drugs involved in medication-related problems. The data were processed through absolute and relative frequencies represented by means of tables and figures. Results: Patients over or equal to 60 years of age predominated, representing 38.6 %; 61.4 % of the patients were female. Most of the patients had up to two diseases (76.3 %); complicated respiratory infections (35.6 %) were the most frequent reason for admission. Between four and six medications were consumed by 36.5 %, with antibacterials for systemic use being the most prescribed. A total of 598 drug-related problems were identified for a ratio of 1.8 DRP/patient, of which 42.8 % corresponded to safety problems, 31.1 % to indication, followed by 24.9 % to effectiveness and finally 1.2 % to adherence. Conclusions: Antimicrobials were the most implicated in the occurrence of medication-related problems. Pharmaceutical care offers services that ensure the appropriate use of medications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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