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Record W3008184248 · doi:10.18071/isz.72.0413

Online oktatás krónikus fájdalom esetén

2019· article· hu· W3008184248 on OpenAlexaboutno aff
Krisztina Wellingerné Galambos, Délia Szok, Márta Csabai

Bibliographic record

VenueIdeggyógyászati Szemle · 2019
Typearticle
Languagehu
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaSomatizationToronto Alexithymia ScaleMedicineFibromyalgiaOutpatient clinicPhysical therapyClinical psychologyPsychiatryAnxietyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Background - The research of alexithymia - the inability to express or understand emotions - has recently become of great importance in clinical practice, mainly in the field of doctor-patient and psychologist patient communication. Many studies have proven the correlation between alexithymia and the development of functional somatic symptoms, i.e. somatization. Purpose - The aim of this clinical study was to examine the emotion-recognition and emotion communication patterns of patients suffering from chronic pain (e.g., headache, low back pain, arthralgia, neuropathy). Moreover, the participants received access to the Hungarian adaptation of a new international online educational site (www.retrainpain.org) dealing with pain management. METHODS: Data were collected from the Headache and Chronic Pain Outpatient Clinic, Department of Neurology, Faculty of Medicine, University of Szeged, Hungary (tertiary care - Group 1) and from a general practice in district 2, Budapest, Hungary (primary care - Group 2) from March, 2017 to April, 2018. Patients received a test package containing a pain-specific questionnaire, then the Difficulties in Emotion Regulation Scale (DERS), the Toronto Alexithymia Scale (TAS-20), and the shortened Hungarian version of the WHO-Well-being (WBI-5) had to be completed. After filling out the questionnaires, all patients got access to the Hungarian adaptation of the www.retrainpain.org website. RESULTS: Altogether 92 patients participated in the study (Group 1 n=50; Group 2 n=42). Based on the TAS-20 re-sults, 35 patients reached a pathological score (≥60 points), which indicates the diagnosis of alexithymia. The mean TAS-score was lower in Group 2 (primary care) than in Group 1 (tertiary care) (p=0.003). The DERS disclosed pathological results in 19 cases (p=0.009). As regards the www.retrainpain.org chapters, we received feedback only from 25 out of 92 patients (27%) (Group 1 n=20; Group 2 n=5). CONCLUSION: Although the examined patients have been suffering from different chronic pain syndromes for years and 50% of them confirmed that symptoms placed at least moderate or heavy burden on their everyday life, the available educational programme was studied only by a smaller proportion of patients than expected. Additionally, those who surveyed the Hungarian adaptation of the www.retrainpain.org website were mainly patients from primary care (Group 2), in spite of the fact that patients from specialized medical care (Group 1) had worse subjective conditions. Our future objective is to extend our database with follow-up results and to improve patients' response willingness.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.303
Threshold uncertainty score0.994

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3030.122

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 head0.015
GPT teacher head0.289
Teacher spread0.275 · 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.

Study designNot applicable
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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