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Record W4377086783 · doi:10.1093/milmed/usad155

Validity of the Modified Defense and Veterans Pain Rating Scale Supplemented With Items Germane to Total Joint Replacement: Secondary Analysis From a Randomized Trial

2023· article· en· W4377086783 on OpenAlexaboutno aff
Sara R. Piva, Galen E. Switzer, Joseph M. Mikolic, Monique Boudreaux-Kelly, Saurab Faruque, Okechukwu U. Aloziem, James W. Ibinson, Brian A. Williams

Bibliographic record

VenueMilitary Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
FundersOffice of the Secretary of Defense
KeywordsRandomized controlled trialMedicineMilitary medicineMilitary personnelRating scaleScale (ratio)NavyPhysical therapyVeterans AffairsPsychologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Valid measures of pain are helpful to adjust treatment plans in real time after total joint replacement (TJR). We enhanced the existing Defense and Veterans Pain Rating Scale (DVPRS) with items related to pain at rest and movement, in specific reference to operative and nonoperative joints, creating the TJR-DVPRS. This manuscript is presented to validate the modified survey instrument. The aims of this psychometric study were to evaluate (1) the latent structure of the TJR-DVPRS, (2) the relationships among the pain dimensions represented on the TJR-DVPRS and the reference-standard Short-Form McGill Pain Questionnaire (version 2, SF-MPQ-2), and (3) the responsiveness of these two measures before and after TJR. MATERIALS AND METHODS: This report involves a secondary analysis of pain surveys from 135 veterans undergoing TJR at one center who participated in a randomized trial. The study was approved by the institutional review boards from participating institutions. The TJR-DVPRS and SF-MPQ-2 were completed preoperatively, during postoperative day 1, and 6 weeks post-surgery. Standard psychometric evaluations included correlations, principal component analysis, and internal consistency of survey items and subscales, using preoperative baseline data as a frame of reference. Responsiveness analysis included assessing both effect size and thresholds of clinically important change for survey subscales using data from all three time points. RESULTS: Two reliable subscales were identified for the TJR-DVPRS, one including items about pain intensity and interference related to the operative joint (Cronbach's α = .809) and the other including two pain items on the nonoperative joint. Combining the subscales indicated a two-factor solution: The first valid factor entailed the four subscales of the SF-MPQ-2 and the TJR-DVPRS operative joint subscales, indicating that these subscales validly represent the same pain dimension. The second valid factor entailed the TJR-DVPRS subscale addressing the nonoperative joint. Responsiveness analysis following accepted psychometric methods demonstrated significant decreases in pain from the preoperative period to 6 weeks postoperatively for all subscales. The TJR-DVPRS and SF-MPQ-2 subscales were similarly responsive, except for the SF-MPQ-2 neuropathic and TJR-DVPRS nonoperative joint subscales, which were minimally responsive during the preoperative to 6-week period. CONCLUSIONS: The TJR-DVPRS is valid for use among veterans undergoing TJR and poses significantly less respondent burden than does the SF-MPQ-2. The brevity and ease of use of the TJR-DVPRS make it a practical tool for use during surgical recovery to monitor pain intensity at rest and with movement in the operative joint, and to assess pain interference with activity, sleep, and mood. The TJR-DVPRS is at least as responsive as the SF-MPQ-2, but the SF-MPQ-2 neuropathic and TJR-DVPRS nonoperative joint subscales were minimally responsive. Limitations of this study include the small sample size, under-representation of women (which would be expected in the veteran population), and using only veterans. Future validations studies should include civilians and active military TJR patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.044
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.269
Teacher spread0.245 · 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 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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