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Record W2184499041

Expanding the role of clinical pharmacists in community oncology practice results of implementation at the Jack ady Cancer Clinic

2014· article· en· W2184499041 on OpenAlexaboutno aff
Roxanne Dobish, Carole Chambers, Kevin Iwaasa, Brenda Hubley, Malcolm L. Brigden

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePharmacistFamily medicineClinical pharmacyScope of practicePharmacyCancerHealth careNursingOncologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Increasing demand for cancer care services in the community setting is putting pressure on ambulatory cancer clinics to become more productive and efficient. Limited numbers of medical oncologists means that other healthcare professionals must work to their full scope of practice to enable oncologists to focus on activities only they can undertake. Oncology pharmacists have the potential to assume a greater role in patient care as part of multidisciplinary teams in the community setting. This study evaluates a pilot project undertaken at the Jack Ady Cancer Clinic (JACC) in Alberta to implement an expanded pharmacist role that included direct interaction with patients and greater integration into the care team. The primary objective was to improve use and results of antiemetics for patients undergoing cancer chemotherapy. One-year results of the nonrandomized study found that the new pharmacist role had a positive impact on the incidence and severity of chemotherapy-induced nausea and vomiting (CINV). The acceptability and sustainability of the increased pharmacist role were further assessed through workload analysis, as well as team member and patient surveys, and showed overwhelmingly positive reception of the new role by clinicians and patients. Results strongly support the benefits of an expanded role for clinical pharmacy services. Further research is needed on the impact of the expanded clinical pharmacist role on specific patient outcomes, continuity of care and costeffectiveness. 1,2,3

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.167
GPT teacher head0.568
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

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