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Incorporation of Shared Decision-Making in International Cardiovascular Guidelines, 2012-2022

2023· article· en· W4386504084 on OpenAlexaffabout
Blair J. MacDonald, Ricky D. Turgeon

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of British Columbia
FundersNational Institutes of HealthNational Institute for Health and Care Excellence
KeywordsGuidelineMedicinePharmacotherapyMEDLINESystematic reviewFamily medicineInternal medicinePathologyPolitical science

Abstract

fetched live from OpenAlex

Importance: Shared decision-making (SDM) is a key component of the provision of ethical care, but prior reviews have indicated that clinical practice guidelines seldom promote or facilitate SDM. It is currently unknown whether these findings extend to contemporary cardiovascular guidelines. Objective: To identify and characterize integration of SDM in contemporary cardiovascular guideline recommendations using a systematic classification system. Design, Setting, and Participants: This cross-sectional study assessed the latest guidelines or subsequent updates that included pharmacotherapy recommendations and were published between January 2012 and December 2022 by the American College of Cardiology (ACC), Canadian Cardiovascular Society (CCS), and European Society of Cardiology (ESC). Data were analyzed from February 21 to July 21, 2023. Main Outcomes and Measures: All pharmacotherapy recommendations were identified within each guideline. Recommendations that incorporated SDM were rated according to a systematic rating framework to evaluate the quality of SDM incorporation based on directness (range, 1-3; assessing whether SDM was incorporated directly and impartially into the recommendation's text, with 1 indicating direct and impartial incorporation of SDM into the recommendation's text) and facilitation (range, A-D; assessing whether decision aids or quantified benefits and harms were provided, with A indicating that a decision aid quantifying benefits and harms was provided). The proportion of recommendations incorporating SDM was also analyzed according to guideline society and category (eg, general cardiology, heart failure). Results: Analyses included 65 guideline documents, and 33 documents (51%) incorporated SDM either in a general statement or within specific recommendations. Of 7499 recommendations, 2655 (35%) recommendations addressed pharmacotherapy, and of these, 170 (6%) incorporated SDM. By category, general cardiology guidelines contained the highest proportion of pharmacotherapy recommendations incorporating SDM (86 of 865 recommendations [10%]), whereas heart failure and myocardial disease contained the least (9 of 315 recommendations [3%]). The proportion of pharmacotherapy recommendations incorporating SDM was comparable across societies (ACC: 75 of 978 recommendations [8%]; CCS: 29 of 333 recommendations [9%]; ESC: 67 of 1344 recommendations [5%]), with no trend for change over time. Only 5 of 170 SDM recommendations (3%) were classified as grade 1A (impartial recommendations for SDM supported by a decision aid), whereas 114 of 170 recommendations (67%) were grade 3D (SDM mentioned only in supporting text and without any tools or information to facilitate SDM). Conclusions and Relevance: In this cross-sectional study across guidelines published by 3 major cardiovascular societies over the last decade, 51% of guidelines mentioned the importance of SDM, yet only 6% of recommendations incorporated SDM in any form, and fewer adequately facilitated SDM.

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)0.032
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.760
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.002
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 head0.173
GPT teacher head0.520
Teacher spread0.347 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2023
Admission routes2
Has abstractyes

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