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Record W2419101354

Integrative healthcare: arriving at a working definition.

2004· article· en· W2419101354 on OpenAlexaffabout
Heather Boon, Marja J. Verhoef, Dennis Patrick O’Hara, Barb Findlay, Nadine Majid

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTerminologyMultidisciplinary approachHealth careVariety (cybernetics)Integrative medicineIdentification (biology)Diversity (politics)Process (computing)PsychologyConceptual frameworkNursingSociologyMedicineComputer scienceAlternative medicinePolitical scienceSocial science
DOInot available

Abstract

fetched live from OpenAlex

A variety of integrative healthcare programs and clinics have been initiated both in Canada and the United States. Many different terms (eg, integrative medicine, integrated medicine, multidisciplinary care, integrative health care) are used to describe these initiatives. The diversity of terminology and absence of a shared conceptual framework makes it difficult to assess when integration is actually happening. The objective of this paper was to explore current efforts to conceptualize integrative healthcare and to identify its components. A qualitative content analysis of articles identified in an extensive literature review resulted in the identification of four key components of integrative care: philosophy/values, structure, process and outcomes. These were used to guide the development of a definition of integrative healthcare that should be seen as an "ideal type" or goal toward which practitioners and health systems could strive.

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)0.030
metaresearch head score (Gemma)0.023
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: Other · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0120.009
Science and technology studies0.0060.029
Scholarly communication0.0160.024
Open science0.0040.013
Research integrity0.0080.010
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 head0.114
GPT teacher head0.298
Teacher spread0.184 · 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
GenreOther

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

Citations122
Published2004
Admission routes2
Has abstractyes

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