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Clinical decision‐making in the context of chronic illness

2000· article· en· W2122946601 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.

Bibliographic record

VenueHealth Expectations · 2000
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsContext (archaeology)Medical decision makingChronic conditionMedicineProcess (computing)Clinical decision makingRelation (database)PsychologyIntensive care medicineMedical emergencyComputer scienceDisease

Abstract

fetched live from OpenAlex

This paper develops a framework to compare clinical decision making in relation to chronic and acute medical conditions. Much of the literature on patient-physician decision making has focused on acute and often life-threatening medical situations in which the patient is highly dependent upon the expertise of the physician in providing the therapeutic options. Decision making is often constrained and driven by the overwhelming impact of the acute medical problem on all aspects of the individual's life. With chronic conditions, patients are increasingly knowledgeable, not only about their medical conditions, but also about traditional, complementary, and alternative therapeutic options. They must make multiple and repetitive decisions, with variable outcomes, about how they will live with their chronic condition. Consequently, they often know more than attending treatment personnel about their own situations, including symptoms, responses to previous treatment, and lifestyle preferences. This paper compares the nature of the illness, the characteristics of the decisions themselves, the role of the patient, the decision-making relationship, and the decision-making environment in acute and chronic illnesses. The author argues for a different understanding of the decision-making relationships and processes characteristic in chronic conditions that take into account the role of trade-offs between medical regimens and lifestyle choices in shaping both the process and outcomes of clinical decision-making. The paper addresses the concerns of a range of professional providers and consumers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.249
GPT teacher head0.536
Teacher spread0.287 · 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