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Record W4384828250 · doi:10.1192/bja.2023.32

Eye movement desensitisation and reprocessing: part 3 – applications in physical health conditions

2023· article· en· W4384828250 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

VenueBJPsych Advances · 2023
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsVictoria HospitalLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsEye movement desensitization and reprocessingMedicinePsychological interventionAnxietyDistressIntensive care medicinePsychological traumaPhysical therapyPsychotherapistPsychiatryClinical psychologyPsychologyPosttraumatic stress

Abstract

fetched live from OpenAlex

SUMMARY Eye movement desensitisation and reprocessing (EMDR) is a psychological therapy that addresses trauma, stress and emotional distress. It has been successfully used in the management of various psychiatric disorders. This article shows that it may also be safely used to manage the psychological distress arising from a variety of physical health conditions and in so doing, reduce the illness burden from conditions such as various cancers, traumatic childbirth, tokophobia, pre-eclampsia, myocardial infarction, haemodialysis in end-stage renal disease, and acute postoperative pain. It can be a stand-alone treatment for hyperemesis gravidarum and tinnitus. The article examines the rationale and evidence for its use in these conditions and suggests areas where more research is needed. Adding EMDR therapy to the range of available interventions in general hospitals has the potential to improve the health and well-being of patients in these settings.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.377
Teacher spread0.354 · 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