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Record W1973448144 · doi:10.1080/13548506.2010.532559

Attitudes towards complementary and alternative medicine among medical and psychology students

2010· article· en· W1973448144 on OpenAlexaboutno aff
Darja Ditte, Wolfgang Schulz, Gundula Ernst, Gerhard Schmid‐Ott

Bibliographic record

VenuePsychology Health & Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAffect (linguistics)Medical psychologyMedical educationPsychologyCurriculumGermanAlternative medicineSet (abstract data type)Subject (documents)Clinical psychologyMedicineMEDLINEPedagogy

Abstract

fetched live from OpenAlex

The use of complementary and alternative medicine (CAM) is increasing in Europe as well as in the USA, but CAM courses are infrequently integrated into medical curricula. In Europe, but also especially in the USA and in Canada, the attitudes of medical students and health science professionals in various disciplines towards CAM have been the subject of investigation. Most studies report positive attitudes. The main aim of this study was to compare the attitudes towards CAM of medical and psychology students in Germany. An additional set of questions concerned how CAM utilisation and emotional and physical condition affect CAM-related attitudes. Two hundred thirty-three medical students and 55 psychology students were questioned concerning their attitudes towards CAM using the Questionnaire on Attitudes Towards Complementary Medical Treatment (QACAM). Both medical students and psychology students were sceptical about the diagnostic and the therapeutic proficiency of doctors and practitioners of CAM. Students' attitudes towards CAM correlated neither with their experiences as CAM patients nor with their emotional and physical condition. It can be assumed that German medical and psychology students will be reluctant to use or recommend CAM in their professional careers. Further studies should examine more closely the correlation between attitudes towards CAM and the students' worldview as well as their existing knowledge of the effectiveness of CAM.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.092
GPT teacher head0.532
Teacher spread0.440 · 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 designObservational
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

Citations26
Published2010
Admission routes1
Has abstractyes

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