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Record W7047003091

Farmaceuters syn på förskrivningsrätt för farmaceuter i Sverige - En pilotstudie

2022· other· en· W7047003091 on OpenAlexaboutno aff

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2022
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacistPharmacyPerceptionMedical prescriptionWork (physics)Clinical pharmacy
DOInot available

Abstract

fetched live from OpenAlex

Background: The topic of pharmacist prescribing in Sweden hasn’t been widely talked about or implemented like in the UK, New Zealand or Canada. The implementation of pharmacist prescribing has shown both benefits and drawbacks in different settings over the years. Aim: The aim of this study was to develop a questionnaire to explore pharmacists’ views on pharmacist prescribing in Sweden and their perception of potential facilitators and barriers with pharmacist prescribing. Methods: This study was divided into 3 parts to develop the questionnaire. The first part consisted of semi-structured interviews with pharmacists with diverse knowledge and work experience in the field. The questionnaire was tested by pharmacy students in the second part. In the last part of this study, the questionnaire was tested on pharmacists with diverse knowledge and work experience. The two latter steps focused on the validity of the questionnaire and were the pilot studies in this study. Results: The most frequently altered questions had to do with education and different situations the respondents would like to use pharmacist prescribing. The results from the interviews indicated that pharmacists have different opinions about pharmacist prescribing and the different type of pharmacist prescribing that should be implemented in Sweden. Conclusion: The participants found most of the questions in the questionnaire easy to interpret. However certain wordings were considered unclear to some extent. Thoughts about the type of prescribing rights and where pharmacist prescribing should be adopted are still not definite.

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)0.019
metaresearch head score (Gemma)0.014
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0330.011

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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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