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Record W2018794668 · doi:10.4212/cjhp.v67i4.1374

The Invisible White Coat: Awareness of Pharmacists in a Neonatal Intensive Care Unit

2014· article· en· W2018794668 on OpenAlexaffvenueabout
Rehana Bajwa, Jennifer Kendrick, Roxane Carr

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2014
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsChildren's & Women's Health Centre of British ColumbiaSurrey Memorial Hospital
Fundersnot available
KeywordsPharmacistMedicinePharmacyFamily medicineHospital pharmacyHealth careNursingMedical emergency

Abstract

fetched live from OpenAlex

Hospital pharmacists play an important role in improving patient outcomes and have a positive impact on patient safety and survival.1 In one study,1 the following 7 pharmacy services had a statistically significant association with reduced mortality rates: pharmacist participation in medical rounds, pharmacist-provided admission drug histories, drug-use evaluation, in-service education, management of adverse drug reactions, management of drug protocols, and participation on the cardiopulmonary resuscitation team. Pharmacists provide patient-centred care to ensure safe and effective drug therapy. Despite the known benefits in terms of patient outcomes and safety, many patients and their families are unaware that a pharmacist is part of their health care team and are similarly unaware of the services that pharmacists provide. According to the Hospital Pharmacy in Canada 2009/2010 Report,2 of 222 Canadian hospitals, about half (n = 112) reported conducting client satisfaction surveys, and only 27 (24%) of these stated that the survey included a question about speaking to a pharmacist while in hospital. Among hospitals that asked patients and families about speaking with a pharmacist, less than half of the patients remembered speaking with a pharmacist while in the hospital.2 A telephone survey conducted by Alberta Health Services found that 21% of patients remembered speaking to a pharmacist.3 One of the objectives for pharmacy practice in hospitals and related health care settings to be achieved by 2015, as part of the Canadian Society of Hospital Pharmacists’ CSHP 2015 initiative, is that “50% of recently hospitalized patients or their caregivers (family members for example) will recall speaking with a pharmacist while in the hospital”.4 Although the target of 50% is arbitrary, this objective is part of the overarching goal to “increase the extent to which pharmacists in hospitals and related healthcare settings help individual hospital inpatients achieve the best use of medications”.4 The neonatal intensive care unit (NICU) setting provides unique opportunities and challenges for meeting this CSHP 2015 objective. Babies and their families “live” in the NICU for periods of weeks to months. The babies are critically ill, and their health status may change or fluctuate dramatically and quickly. Little information is available regarding the safe and effective use of medications in this patient population. Pharmacists working in NICUs use specialized knowledge and skill sets to ensure effective and safe pharmacotherapy as the babies grow and develop and their health status changes. Families face immense stresses, sometimes with multiple babies (e.g., twins or triplets) receiving treatment, and during their stay meet a multitude of health care providers, all of whom give them information emphasizing different aspects of their baby’s (or babies’) care. The goal of this study was to improve families’ access to and awareness of their babies’ pharmacists. The primary objectives were to increase families’ awareness of the NICU pharmacist and to describe topics that families want to discuss with the NICU pharmacist.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.713

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.054
GPT teacher head0.368
Teacher spread0.313 · 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 designNot applicable
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

Citations3
Published2014
Admission routes3
Has abstractyes

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