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Record W2914473118 · doi:10.1093/ageing/afy202.13

105PHYSICIANS’ ATTITUDES TOWARDS DEPRESCRIBING

2019· article· en· W2914473118 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

VenueAge and Ageing · 2019
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsDeprescribingMedicinePolypharmacyFamily medicineNursingIntensive care medicine

Abstract

fetched live from OpenAlex

Introduction: Deprescribing has been proposed to address the growing problem of polypharmacy. A local study involving patients attending public primary healthcare clinics in Singapore showed that majority of the patients were keen to have medications deprescribed if deemed appropriate by their prescriber. A survey of Vancouver physicians however showed that while most doctors were keen to deprescribe medications, prescription by another healthcare specialist was a barrier towards deprescribing. While this study was conducted overseas, there is paucity of literature available on the attitudes of doctors towards deprescribing in the local context. Hence this study aimed to elucidate physicians’ attitudes towards deprescribing. Methods: The study was conducted in Tan Tock Seng Hospital (TTSH) from October 2017 to March 2018. Physicians in the department of Geriatric Medicine (GRM) and Internal Medicine (IM) were recruited. A self-developed questionnaire was used for the study, which was developed after reviewing the literature on prescribers’ attitudes towards deprescribing. Survey questions were grouped into four themes: attitudes towards deprescribing, ability and skills to deprescribe, environment or work culture-related barriers, and patient-related barriers towards deprescribing. Results: A total of 80 physicians completed the questionnaire (38 from the department of GRM and 42 from IM). Most (98%) felt that deprescribing is beneficial for their patients, and 86% reported being motivated to deprescribe. Physicians reported being most comfortable deprescribing statins, and least comfortable deprescribing antiplatelets or anticoagulants. Physicians generally felt that there is a lack of guidelines or training to assist them in deprescribing (58%), which corresponded to the finding that provision of training or guidelines would help physicians deprescribe confidently (70% and 83% respectively). The most commonly cited work culture barrier was the hesitancy to stop medications prescribed by other healthcare professionals (84%). Difficulty and time required to explain to patients or their caregivers the rationale of deprescribing was the most common patient-related barrier (36%). Conclusion: ur study has shown that physicians are willing to deprescribe medications for their patients. Efforts can be done in raising awareness on the availability of deprescribing guidelines, as well as potential collaboration with physicians to adapt these guidelines to the local context.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.188
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.001

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 head0.038
GPT teacher head0.356
Teacher spread0.318 · 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