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Record W7034791249

Varför ”icke-farmakologisk förskrivning av antibiotika?” : Fenomenologisk undersökning av allmänläkares attityder och åsikter

2005· article· en· W7034791249 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrological Forecasting Using AI
Canadian institutionsnot available
Fundersnot available
KeywordsMedical prescriptionCoping (psychology)Variety (cybernetics)Qualitative researchHealth careGeneral practicePublic healthPrimary care
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Concern has increased worldwide with regard to the over-prescribing of antibiotics, as well as the fact that more bacteria strains are developing resistance to antibiotics. According to research, a great deal of this use is for what has been called “non-pharmacological” reasons. The reduction of unnecessary antibiotic use and exploration of the reasons for ”irrational prescribing” has become a public health priority. OBJECTIVE: To study the reasons cited by Icelandic general practitioners for their “non-pharmacological” prescribing of antibiotics. DESIGN: A qualitative interview-study with research dialogues guided by the Vancouver School of doing phenomenology. SETTING: General practice. PARTICIPANTS: 16 general practitioners: 11 in the maximum variety sample and 5 in the theoretical sample. RESULTS: The most important reasons for prescribing antibiotics in situations with low pharmacological indications (non-pharmacological prescribing) were an unstable doctor-patient relationship due to lack of continuity of care, patient pressure in a stress-loaded society, the doctor’s personal characteristics, particularly zeal and readiness to serve, and finally, the insecurity and uncertainty of the doctor who falls back upon the prescription as a coping strategy in a difficult situation. CONCLUSION:The causes of non-pharmacological prescribing of antibiotics are highly varied, and relational factors in the interplay between the doctor and the patient are often a key factor. Therefore, it is of great importance for the general practitioner to know the patient and to become better equipped to resist patient pressure, in order to avoid the need to use the prescription as a coping strategy. Continuity of medical care and a stable doctor-patient relationship may be seen as the core concepts in this study and the most important task for the GPs is to promote the patients’ trust.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.033
GPT teacher head0.272
Teacher spread0.239 · 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