Desirable Traits of Hospital Pharmacy Preceptors and Residents
Bibliographic record
Abstract
INTRODUCTION The British Columbia Hospital Pharmacy Residency Program has been in existence since 1970. It has expanded since its inception and now encompasses 7 hospitals, which offered a total of 17 residency positions during the 1999/2000 residency year. The prgram receives approximately 45 applications annually. The screening process to identify the best candidates includes an evaluation of the applicant’s academic transcripts, resume, and letter outlining his or her future goals; an evaluation of documentation from references; and a personal interview. Although the hospital residency coordinators may each have their own specific criteria as to the most desirable traits for students accepted as residents at their institutions, the attributes that characterize an “ideal” resident have not been generally agreed upon. We took advantage of an opportunity to receive feedback about the traits of an ideal resident from a group of hospital pharmacy residency preceptors (including coordinators). In the 1997/98 residency year, 4 of the 14 residents in the British Columbia Hospital Pharmacy Residency Program did not complete the program. A task force, consisting of a director of pharmacy, the chair of the British Columbia Hospital Pharmacy Residency Coordinators Committee (BC HPRCC), a member of the Faculty of Pharmaceutical Sciences at the University of British Columbia, and one additional coordinator, was set up to examine more closely the reasons for this unexpectedly high level of withdrawals and to search for issues or practices that might be corrected. Although each unsuccessful case was unique and preceptorship was not identified as a major reason for failure, the task force felt that preceptors have a significant effect on the motivation and success of a resident while he or she is in the program, and more information on preceptorship was felt to be necessary. A questionnaire for residents was created to determine their opinion about the traits apparent in outstanding hospital pharmacy preceptors. The purpose of conducting the 2 independent questionnaires was to identify desirable traits of hospital pharmacy residents to assist in the resident selection process and to identify desirable traits of hospital pharmacy preceptors to help improve the quality of resident teaching and supervision in each hospital.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".