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Record W3216145626 · doi:10.3390/adolescents1040037

SMART4Pain: Feasibility of a Two-Arm Pilot Study of an Integrated Rehabilitation Program for Adolescents and Their Parents for Improving Pain Management

2021· article· en· W3216145626 on OpenAlexaff
Alessandro Failo, Paola Venuti, Patrizia Villotti, Stefan Markus Schmalholz, Nicola Chistè, Bernd Raffeiner, Michela Salandin, Serena De Pellegrin, Lydia Pescollderungg, Mariantonietta Mazzoldi

Bibliographic record

VenueAdolescents · 2021
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsBiofeedbackPsychological interventionRehabilitationPhysical therapyIntervention (counseling)DistressMedicineQuality of life (healthcare)Test (biology)Clinical psychologyNursing

Abstract

fetched live from OpenAlex

Chronic pain in youth has an unsung etiology and limited treatment options. Affected adolescents show difficulties in different functioning domains, and their parents can develop associated distress, which negatively influences the adolescent’s capacity to adjust to pain. The aims of this study are the following: (1) to develop an internet-delivered (online) pain intervention (SMART4Pain) program for adolescents and their parents, and to test its feasibility and acceptability; (2) to evaluate, in adolescents, the impact of the face-to-face, randomized, two-armed (i.e., CBT or biofeedback), open-label pilot study, developed together with the online program. The overall program consisted of six sessions scheduled over six weeks. Twenty adolescents (N = 20) and their parents (N = 20) completed the entire program and are included in this study. The results showed that all interventions were feasible and acceptable, as well as potentially effective in improving quality of life. Only the group receiving the biofeedback intervention showed some improvements in psychological indicators of stress. In conclusion, more research is needed to better understand and develop new, multimodal rehabilitation programs in outpatient 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.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.176
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.032
GPT teacher head0.329
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes1
Has abstractyes

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