Evaluation of a patient self-medication program in allogeneic hematopoietic stem cell transplantation
Bibliographic record
Abstract
Introduction Patients admitted for allogeneic hematopoietic stem cell transplantation (allo-HSCT) are discharged with multiple new medications. At our institution, a new patient Self Medication Program (SMP) was implemented on the allo-HSCT units. An SMP allows patients to practice self-administration of medications in a controlled environment before discharge. We assessed the impact of the SMP on patient medication knowledge, self-efficacy, adherence, and safety. Patient and staff satisfaction with the SMP was also explored. Methods Participants in the SMP group received medication counseling by a pharmacist and self-managed their medications with nursing supervision until discharge. Participants in the pre-SMP group received medication counseling by a pharmacist at discharge. All participants completed a Medication Knowledge and Self-Efficacy Questionnaire before discharge and at follow-up. Safety endpoints were assessed for SMP participants. Results Twenty-six patients in the pre-SMP group and 25 patients in the SMP group completed both questionnaires. Median knowledge scores in the pre-SMP group versus the SMP group were 8.5/10 versus 10/10 at discharge ( p = 0.0023) and 9/10 versus 10/10 at follow-up ( p = 0.047). Median self-efficacy scores were 38/39 in the pre-SMP group versus 39/39 in the SMP group at both discharge and follow-up ( p discharge = 0.11, p follow-up = 0.10). The SMP was associated with at least 1 medication event in 7 participants, but no medication incidents. Patient and staff surveys showed a positive perceived value of the SMP. Conclusion Our results demonstrate that the SMP is associated with durable, improved medication knowledge, a trend towards improved self-efficacy, and largely positive perceptions among both staff and patient participants.
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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 | 0.003 | 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".