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Record W4225812617 · doi:10.2147/ppa.s350411

Patient Preferences for Attributes of Health Canada Approved Weight Loss Medications Among Adults Living with Obesity in Canada: A Qualitative Study

2022· article· en· W4225812617 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePatient Preference and Adherence · 2022
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineObesityWeight lossAlternative medicineFamily medicineGerontologyInternal medicinePathology

Abstract

fetched live from OpenAlex

Purpose: Obesity is a complex disease with negative impacts on physical and mental health. The treatment of obesity is an area where shared decision making and patient preferences play an important role. Recommendations surrounding weight loss medications are evolving and only recently, with the publication of the 2020 Canadian Obesity Management Clinical Guidelines, pharmacotherapy has become a recommended alternative for obesity management. Guidelines recommend three medications: orlistat, liraglutide, and naltrexone/bupropion. This study sought to identify medication attributes relevant to patients starting pharmacotherapy for weight management. Patients and Methods: Semi-structured focus groups and interviews were conducted with Canadian residents who were ≥ 18 years of age and were living with obesity (body mass index [BMI] ≥ 30kg/m 2 or ≥ 27kg/m 2 with adiposity-related complications). Sessions were conducted virtually, audio recorded, and transcribed. Two team members used a combination of inductive and deductive coding to independently code the data. A final coding template was agreed upon through discussion. Results: A total of 21 individuals participated (85.7% female, 76.2% ≥ 40 years of age) with the average BMI being 44.3 kg/m 2 . Participants touched upon many attributes which were categorized into five categories: 1) cost, 2) regimen, 3) side effects, 4) benefits, and 5) non-medication attributes. Cost of medications, lack of coverage by insurance companies, and stigma were identified as major barriers to accessing medications. There was consensus in the desire for a simple regimen, however there was heterogeneity among opinions on tolerability of side effects, desired benefits, and route of administration. Conclusion: This study identified attributes that influenced patient’s decisions when considering a new anti-obesity medication. Understanding these attributes can assist clinicians in shared decision-making. This study highlighted the stigma that is prevalent among providers and the need for education. Further research should be conducted to understand the tradeoffs patients in our study make between the identified attributes. Keywords: patient preferences, obesity, weight loss, anti-obesity medications, Canada

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.082
GPT teacher head0.371
Teacher spread0.289 · 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