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Record W3010119161 · doi:10.1093/jbcr/iraa024.426

860 Impact of Orally Administered Tramadol Combined with Self-selected Music on Adult Outpatients with Burns Undergoing Dressing Change: A Randomized Controlled Trial

2020· article· en· W3010119161 on OpenAlexaboutno aff
Xiu‐Hang Zhang, Jiaao Yu, Xinxin Chen

Bibliographic record

VenueJournal of Burn Care & Research · 2020
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsTramadolMedicineAnxietyTotal body surface areaRandomized controlled trialAnesthesiaBurn woundAnalgesicSurgeryWound healingPsychiatry

Abstract

fetched live from OpenAlex

Abstract Introduction Burn injuries have significant physiological and psychological consequences. Dressing changes have been considered the most painful among all non-surgical procedures. Anxiety, which is closely associated with pain, is a part of the burn and wound-healing process and can cause delays in wound healing and recovery procedures. In addition, anxiety may have a devastating mental and physical influence on patients.What’s more,patients whose symptoms were not adequately alleviated are likely to suffer more in their subsequent dressing changes. Pharmacological treatment is the primary approach for relieving pain and anxiety related to burns. In comparison with traditional analgesics, tramadol is a more manageable drug under clinical conditions. However, due to the variability of the intensity of pain and anxiety in patients, the two symptoms remain under-treated. Recently, much attention has been paid to pain management approaches that combine pharmacological treatments with non-pharmacological therapies. In this regard, this study was designed to analyze the effect of tramadol and its combination with self-selected music on burn patient. Methods To investigate the effects of music and/or tramadol on pain and anxiety in burn outpatients undergoing dressing changes. Patients (N = 180) with burns on up to 10%-30% of the total body surface area (TBSA). The patients were selected using a convenience sampling method and randomly allocated to 4 equal-sized groups as follows: 1) tramadol group (TG), patients received 100 mg of tramadol orally 20 min before the dressing change; 2) music group (MG), patients listened to self-selected music during the dressing change; 3) music-plus-tramadol group (MTG), patients received tramadol and listened to self-selected music; and 4) control group (CG), patients received a routine dressing change only. All patients underwent the interventions once per day for 2 days. McGill Pain Questionnaire Short Form (MPQ-SF) (primary outcome), McGill Pain Persian version of Burn Specific Pain Anxiety Scale (BSPAS) (primary outcome), and heart rate (HR) and overall patient satisfaction (secondary outcomes). Results The results showed that MTG had better outcomes with respect to pain and anxiety management during dressing changes. Conclusions In comparison with music or tramadol alone, the integration of music and tramadol offers a secure and favorable treatment choice to relieve pain and anxiety, ultimately improving the satisfaction levels of burn outpatients during dressing changes. Applicability of Research to Practice The findings showed that the combined approach was more effective in reducing pain and anxiety among the outpatients, as the findings outline the potential use of this technique in the management of dressing changes in burn outpatients.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.094
GPT teacher head0.398
Teacher spread0.304 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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
Published2020
Admission routes1
Has abstractyes

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