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Record W4393282663 · doi:10.1097/nor.0000000000001017

The Effect of Reiki on Pain, Functional Status, and Holistic Well-Being in Patients With Knee Osteoarthritis

2024· article· en· W4393282663 on OpenAlexaboutno aff
Nursemin Ünal, Nilay Bektaş Akpınar, Doğan Bek, Sabire Yurtsever

Bibliographic record

VenueOrthopaedic Nursing · 2024
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyOsteoarthritisMoodRandomized controlled trialTherapeutic touchVisual analogue scaleSadnessPhysical medicine and rehabilitationAlternative medicineInternal medicinePsychiatryAnger

Abstract

fetched live from OpenAlex

Knee osteoarthritis (OA) is a chronic degenerative joint disease that causes pain and adversely affects functional status and holistic well-being. This randomized controlled trial investigated the effect of Reiki on pain, functional status, and holistic well-being in patients with knee OA. The sample consisted of 42 patients. The control group received standardized treatment only, whereas the intervention group received face-to-face Reiki (nine positions; 39 minutes) and distance Reiki on two consecutive days in addition to standardized treatment. The Reiki group had lower pain scores than the control group as measured by the Visual Analog Scale (p < .001) and the Western Ontario and McMaster Universities Arthritis Index pain score (p < .001). Those participating in the Reiki group had improved holistic well-being scores specifically for the subscales of Sadness, Perception of Sadness, Spiritual Disruption, Cognitive Awareness, and General mood. Reiki is a safe, noninvasive, and cost-effective alternative treatment technique that has the potential to reduce symptoms of pain and improve holistic well-being in patients with knee OA.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.265
Teacher spread0.257 · 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 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

Citations7
Published2024
Admission routes1
Has abstractyes

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