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Record W2912327106 · doi:10.1177/0885066618824534

Feasibility, Reliability, Responsiveness, and Validity of the Patient-Reported Functional Scale for the Intensive Care Unit: A Pilot Study

2019· article· en· W2912327106 on OpenAlexafffund
Julie C. Reid, France Clarke, Alexander J. Molloy, Jill Rudkowski, Paul W. Stratford, Michelle E. Kho

Bibliographic record

VenueJournal of Intensive Care Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsSt. Joseph’s Healthcare HamiltonImpactMcMaster University
FundersInstitute of Musculoskeletal Health and ArthritisCanadian Lung AssociationOntario Council on Graduate Studies, Council of Ontario Universities
KeywordsMedicineIntraclass correlationIntensive care unitConfidence intervalPhysical therapyFunctional Independence MeasureConvergent validityRehabilitationSittingActivities of daily livingEmergency medicineIntensive careReliability (semiconductor)PsychometricsIntensive care medicinePatient satisfactionSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background: Although many performance-based measures assess patients’ physical function in intensive care unit (ICU) survivors, to our knowledge, there are no patient-reported ICU rehabilitation-specific measures assessing function. We developed the Patient-Reported Functional Scale-ICU (PRFS-ICU), which measures patients’ perceptions of their ability to perform 6 activities (rolling, sitting edge of bed, sit-to-stand and bed-to-chair transfers, ambulation, and stair climbing). Each item is scored from 0 (unable) to 10 (able to perform at pre-ICU level) to a maximum of 60. Objectives: Estimate the feasibility, reliability, responsiveness, and validity of the PRFS-ICU. Methods: This was a substudy of TryCYCLE, a single-center, prospective cohort examining the safety and feasibility of early in-bed cycling with mechanically ventilated patients (NCT01885442). To determine feasibility, we calculated the number of patients with at least 1 PRFS-ICU assessment during their hospital stay. To assess reliability, 2 raters blinded to each other’s assessments administered the PRFS-ICU within 24-hours of each other. We calculated the intraclass correlation coefficient (ICC; 95% confidence interval [CI]), standard error of measurement (SEM, 95% CI), and minimal detectable change (MDC 90 ). To assess validity, we estimated convergent validity of the PRFS-ICU with the Functional Status Score for ICU (FSS-ICU), Medical Research Council Sum Score (MRC-SS), Physical Function Test for ICU (PFIT-s), Katz Index of Independence in Activities of Daily Living (Katz ADLs), and a pooled index using Pearson's correlation coefficient ( r, 95% CI). Results: Feasibility: 20 patients completed a PRFS-ICU assessment. Reliability and responsiveness: 16 patients contributed data. The ICC, SEM, and MDC 90 were 0.91 (0.76, 0.97), 4.75 (3.51, 7.35), and 11.04 points, respectively. Validity: 19 patients contributed data and correlations were ( r [95% CI]): FSS-ICU (0.40 [−0.14, 0.76]), MRC-SS (0.51 [0.02, 0.80]), PFIT-s (0.43 [−0.13, 0.78]), Katz ADLs (0.53 [0.10, 0.79]), and pooled index (0.48 [−0.14, 0.82]). Conclusions: Our pilot work suggests the PRFS-ICU may be a useful tool to assess and monitor patients’ perceptions of function over time.

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)0.001
metaresearch head score (Gemma)0.124
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 score0.524
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.124
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.067
GPT teacher head0.333
Teacher spread0.266 · 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

Citations16
Published2019
Admission routes2
Has abstractyes

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