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Receiving money for medicine: some tensions and resolutions for community-based private complementary therapists

2003· article· en· W2031397426 on OpenAlexaff
Gavin J. Andrews, Elizabeth Peter, Robin Hammond

Bibliographic record

VenueHealth & Social Care in the Community · 2003
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Toronto
FundersNuffield Foundation
KeywordsPaymentCompensation (psychology)Private practicePublic relationsHealth careFace (sociological concept)Profit (economics)BusinessPsychologyMedicineSocial psychologyPolitical scienceFamily medicineFinanceEconomicsSociologyLaw

Abstract

fetched live from OpenAlex

During recent years, private complementary medicine has grown as a significant provider of healthcare in the UK and much of this provision is through small private businesses financed by out-of-pocket payments made by privately paying clients. Using a combined questionnaire (n = 426) and interview survey (n = 49), the present paper considers the potential tensions and dilemmas which therapists face and the resolutions which they come to in being carers, but in market terms, also profit makers. Therapists generally identified with being carers first and business people second, and this was reflected in their caring decisions. Indeed, under circumstances where the roles potentially conflicted (e.g. when clients could no longer afford to pay for their treatments), most therapists claimed that they continued to provide care, either by providing their services free-of-charge, at a reduced rate, by deferring payment or by accepting alternative forms of compensation. There is a relative lack of dedicated research literature on complementary therapists, their attitudes and actions, and this paper provides some important data on their specific management and caring decisions. At the same time, the evidence also provides some initial food-for-thought and indicates some potential research directions for exploring ethical issues in the private practice of complementary medicine.

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 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.220
GPT teacher head0.450
Teacher spread0.230 · 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 teacher head, not a consensus.

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

Citations34
Published2003
Admission routes1
Has abstractyes

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