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Record W2758538418 · doi:10.5430/jnep.v8n1p107

Effect of teaching patients neck stretching exercises on neck pain and disability following thyroidectomy

2017· article· en· W2758538418 on OpenAlexvenueno aff
Sahar A. Abd-El Mohsen, Nagwa M. Ahmed

Bibliographic record

VenueJournal of Nursing Education and Practice · 2017
Typearticle
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThyroidectomyPhysical therapyNeck painSignificant differenceRandomized controlled trialSurgeryThyroidAlternative medicine

Abstract

fetched live from OpenAlex

Objective: The aim of this research was to evaluate the effect of teaching patients stretching neck exercises on pain and disability of the neck following thyroidectomy.Methods: Research design: a randomized controlled trial was utilized. Setting: the study was conducted at the general surgery ward and outpatient surgery clinic-Assiut university hospital. Sample: 60 adult male and female patients scheduled to undergo thyroidectomy and are willing to take part in this study. Tools of data collection: Tool (I): Patient assessment sheet, Tool II: Neck pain and disability index questionnaire.Results: There was no statistically significant difference between both groups regarding their socio-demographic variables and medical data while there was a highly statistical significant difference between both groups regarding pain in the neck and disability 7 days post thyroidectomy.Conclusions: Teaching and applying neck stretching exercises significantly improved the neck condition of patients in the study group regarding pain and disability of the neck. Nurses working in the general surgery department must include the stretching neck exercises in care and follow-up protocols of patients undergoing total thyroidectomy and to use the validated neck pain and disability questionnaire in monitoring patient’s condition.

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)0.004
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.408
Teacher spread0.378 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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