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Record W2605344818 · doi:10.1177/1049732317707726

Experience of Touch in Health Care: A Meta-Ethnography Across the Health Care Professions

2017· review· en· W2605344818 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

VenueQualitative Health Research · 2017
Typereview
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsUniversity of Calgary
FundersArnold P. Gold Foundation
KeywordsEthnographyHealth carePsychologyNursingHealth professionsMedicineSociologyPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Touch mediates health professionals' interactions with patients. Different professionals have reported their practices but what is currently lacking is a well-theorized, interprofessional synthesis. We systematically searched eight databases, identified 41 studies in seven professions-nursing (27), medicine (4), physiotherapy (5), osteopathy (1), counseling (2), psychotherapy (1), dentistry (1)-and completed a meta-ethnographic line-of-argument synthesis. This found that touch is caring, exercises power, and demands safe space. Different professions express care through the medium of touch in different ways. They all, however, expect to initiate touch rather than for patients to do so. Various practices negotiate boundaries that define safe spaces between health care professions and patients. A metaphor-the waltz-integrates the practice of touch. Health care professionals connect physically with patients in ways that form strong relationships between them while "dance steps" help manage the risk that is inherent in such an intimate form of connection.

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)0.052
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0520.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.004
Science and technology studies0.0110.011
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0010.004
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 head0.910
GPT teacher head0.808
Teacher spread0.102 · 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