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Record W7118771304 · doi:10.36430/kjp.2025.29.2.001

Historical Perspectives on the Shared Decision Making Centered Medicine

2025· article· W7118771304 on OpenAlexaboutno aff
Jaeuk Hwang, Soo-hee Choi, Seong Jae Kim, Hie Lee Jung, Eun Young Jang, Junhee Lee, Young Min Choe, Jong Inn Woo

Bibliographic record

VenueThe Korean Journal of Psychopathology · 2025
Typearticle
Language
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsStandardizationHealth careCommissionClinical decision makingHealthcare systemComponent (thermodynamics)Core competencyField (mathematics)Evidence-based medicine

Abstract

fetched live from OpenAlex

Shared Decision Making (SDM) is a medical decision-making approach in which healthcare providers and patients collaboratively determine the best treatment options by integrating medical evidence with patients’ values and preferences through a cooperative approach. This review aimed to examine the historical background and conceptual development of SDM to provide foundational knowledge for healthcare professionals who are new to SDM. First, the historical background of SDM emergence was reviewed in the series of the changes brought to the medical field in the United States since 1960s. This review examines the key articles that introduced and shaped the SDM concept from its initial emergence to its concrete development. The concept of SDM was first introduced as “sharing of decision-making” in 1972, and the term “shared decision-making” emerged in the 1982 U.S. Presidential Commission report. Through research from the late 1990s to early 2000s, core components were established, and practical implementation models were developed in the 2010s. Additionally, this review explores patient decision aids that have been developed for SDM implementation, including their standardization through the Ottawa Decision Support Framework and International Patient Decision Aid Standards. SDM is currently recognized as an essential component of patient-centered care, and there is a need for expanding understanding and application in domestic healthcare settings.

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)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0030.024
Scholarly communication0.0080.007
Open science0.0020.004
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0030.001

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 head0.218
GPT teacher head0.453
Teacher spread0.235 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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