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Record W4409854981 · doi:10.61838/kman.jndd.3.1.13

Investigating the Effectiveness of Drug Administration and Relaxation Therapy in Reducing Pain and Sleep Disorders in Rheumatoid Arthritis Patients

2024· article· en· W4409854981 on OpenAlexaboutno aff
Sogand Ghassemzadeh, Ashraf Sharifian jazi

Bibliographic record

VenueIkhtilāl/hā-yi ̒aṣabī taḥavvulī. · 2024
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsRheumatoid arthritisMedicineDrugDrug administrationRelaxation TherapySleep (system call)Administration (probate law)PharmacotherapyPhysical therapyRelaxation (psychology)PharmacologyInternal medicine

Abstract

fetched live from OpenAlex

Objective: Rheumatoid arthritis is a long-lasting inflammatory condition that causes joint pain, stiffness, and sleep disorders, significantly impacting the well-being of individuals. The purpose of this research was to examine the efficacy of drug administration and relaxation therapy in alleviating pain and improving sleep quality in patients with rheumatoid arthritis. Methods and Materials: The study used a quasi-experimental research design, including pre-test, post-test, and four months’ follow-up. The study consisted of three groups: two experimental groups (one receiving drug therapy and the other receiving relaxation therapy) and a control group. The research included all patients diagnosed with rheumatoid arthritis and referred to the Iranian Rheumatology Center in Tehran from July to December 2023 as the statistical population. The sample included 60 participants who were selected using purposive sampling methods. In the drug therapy group, each patient was prescribed 3 mg of melatonin daily for one month. The relaxation therapy group, consisting of 20 participants, received six 90-minute sessions once a week, both in person and at home. The in-person sessions were held in suitable offices under the supervision of the Rheumatology Center. The research utilized the Pittsburgh Sleep Quality Index (PSQI) and the McGill Pain Questionnaire (MPQ) as research instruments. The data was analyzed statistically using the Kruskal-Wallis H method and analysis of covariance with repeated measures at a p-value of 0.05, utilizing SPSS statistical software version 27. Findings: Based on the findings, the P-value for Between-Subjects Effects showed significance for the sleep disorder variable (p<0.001). Similarly, there was significance in the interaction effects between time and groups for the sleep disorder variable (p=0.004). In addition, the P-value for Between-Subjects Effects was also significant for the sensory pain variable (p<0.001). The study also discovered that the relationship between time and groups, along with the impacts within each group, were both statistically significant for the sensory pain variable (p>0.05). However, no differences were observed in any of the groups and stages for the emotional pain variable, indicating that the intervention methods did not affect emotional pain. Conclusion: The current study found that drug therapy is successful in decreasing sleep disorders and providing long-term relief from sensory pain. On the other hand, relaxation therapy is not as effective as medication in reducing pain and sleep disorders. These findings will assist medical professionals in making informed decisions when selecting treatments for patients with rheumatoid arthritis.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.257
Teacher spread0.251 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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