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Record W7100103950

Patients ’ attitudes to comforting touch in family practice

2015· article· en· W7100103950 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsTherapeutic touchLikert scalePopulationAffect (linguistics)Clinical PracticeEmotional support
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE To examine patients ’ attitudes to comforting touch in family practice. DESIGN A survey was designed with statements and responses to proposed scenarios. SETTING Twenty family practices throughout Ontario. PARTICIPANTS Family practice patients; of 400 sur veys distributed, 376 were completed (94 % response rate). MAIN OUTCOME MEASURES Patients responded to scenarios on a five-point Likert scale, ranging from strongly disagree to strongly agree. Results were analyzed using SPSS for DOS. RESULTS Most patients in this population believed that touch can be comforting (66.3%) and healing (57.9%). Women were more accepting of comforting touch than men in all scenarios. Acceptance of comforting touch declined for both sexes as touch became proximal and more intimate. Men and women were more accepting of comforting touch from female doctors. Acceptance of all comforting touch declined markedly if a physician was unfamiliar to a patient, regardless of the physician’s sex. CONCLUSION Most patients surveyed believed touch is comforting and healing and viewed distal touches (on the hand and shoulder) as comforting.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.125
GPT teacher head0.376
Teacher spread0.250 · 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 designQualitative
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

Citations0
Published2015
Admission routes1
Has abstractyes

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