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Record W2055578728 · doi:10.4212/cjhp.v66i5.1289

Assessing the Impact of an Expanded Scope of Practice for Pharmacists at a Community Hospital

2013· article· en· W2055578728 on OpenAlexaffvenueabout
Soomi Hwang, Tamar Koleba, Vincent H Mabasa

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2013
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of British ColumbiaBurnaby HospitalInterior Health
Fundersnot available
KeywordsScope of practiceMedicinePharmacyMedical prescriptionClinical pharmacyPsychological interventionFamily medicineScope (computer science)NursingHealth carePatient safetyPharmacy practice

Abstract

fetched live from OpenAlex

In 2009, the College of Pharmacists of British Columbia introduced Professional Practice Policy 58, “Protocol for Medication Management—Adapting a Prescription”. This policy has enhanced pharmacy practice by allowing pharmacists to make changes to prescriptions. More specifically, it allows pharmacists to change a drug dose or formulation, titrate medications, renew prescriptions, and make drug substitutions within the same therapeutic class in all practice settings. This expansion of pharmaceutical services is in line with the objectives of CSHP 2015, increasing the extent to which pharmacists, pharmacy departments, and hospitals improve medication safety and help patients to achieve the best use of medications. An increasing number of published studies are demonstrating that an expanded scope of practice (ESP) for pharmacists improves patient outcomes and enhances pharmacists’ job satisfaction. Patient counselling, medication reconciliation (on admission, transfer, or discharge), and supplementary prescribing by pharmacists have been shown to reduce drug-related problems and readmission to hospital, thereby reducing costs for the health care system. In addition, interventions by hospital pharmacists have been linked to reductions in medication errors, medication costs, and length of hospital stay while improving medication adherence, knowledge, and appropriateness of pharmacologic therapy. Mysak and others developed a proactive practice model to facilitate provision of clinical services by pharmacists, which includes individualizing medication therapy and participating in daily bedside rounds. Those authors found that participating pharmacists felt the model improved job satisfaction and patient safety. The Clinical Executive Committee of Fraser Health endorsed expanding the scope of practice for pharmacists in 2009, and Burnaby Hospital implemented the ESP on April 1, 2012, with the aim of enhancing the timely delivery of patient care and streamlining medication reconciliation after patient admission. ESP at Burnaby Hospital consists of reordering medications for chronic conditions, initiating over-the-counter medications, changing drug formulations, changing drugs within the same therapeutic class, and titrating medication doses. This study was undertaken to determine how implementation of ESP affected pharmacy practice and patient care at Burnaby Hospital, in terms of activities performed and associated outcomes, as well as the experiences of pharmacists and physicians. The specific objective of the study was to describe and assess the impact of ESP for pharmacists at Burnaby Hospital. The primary outcomes were a categorization of the types of ESP activities performed by pharmacists and an assessment of clinical, humanistic, and economic outcomes. The secondary outcome was a description of the ESP experiences of pharmacists and the impact of ESP on physicians, as documented by surveys of these groups of healthcare professionals.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.069
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.045
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.069
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0030.004
Open science0.0030.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.149
GPT teacher head0.483
Teacher spread0.333 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2013
Admission routes3
Has abstractyes

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