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Record W2899867102 · doi:10.1097/phm.0000000000001092

Comparing Assessments of Physical Functional Independence in Older Adults With Mobility Limitations

2018· article· en· W2899867102 on OpenAlexfundno aff
W. Ben Mortenson, Marcus J. Führer, Jessica Bilkey, Jeffrey W. Jutai, Jamal Alkadri, Joseph Aziz, Louise Demers

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2018
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsFunctional Independence MeasureMedicineGerontologyActivities of daily livingIndependence (probability theory)Family caregiversFunctional trainingPhysical therapyClinical psychologyPsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: The aims of the study were (1) to assess the agreement and correlation between self-reported functional independence and observations of family caregivers in a heterogeneous population of community-dwelling older adults with disabilities and (2) to determine how self-reports and caregiver reports correlate with evaluator rated functional independence over time. DESIGN: Data were drawn from a larger, randomized controlled trial examining the effects of a caregiver-inclusive intervention on outcomes of care recipients and their family caregivers. Functional independence measures were obtained using a self-report version of the Functional Independence Measure (care recipient self-reported Functional Independence Measure, caregiver self-reported Functional Independence Measure) and the Functional Autonomy Measurement System (evaluator perspective). They were administered at baseline (preintervention) and after the intervention at 6, 22, and 58 wks. RESULTS: Bivariate correlation analyses of 90 dyads consisting of older care recipients and their family caregivers reported moderate to very strong correlations between the three functional independence measures across all time points (rS = 0.45-0.91, P < 0.01). Bland-Altman analyses revealed a small systematic bias between care recipient and caregiver assessments of functional independence, with participants reporting higher scores across all time points (mean difference = 2.00-2.97). CONCLUSIONS: There is substantial consistency among the self-assessed, caregiver-assessed, and evaluator assessed functional independence of older adults. Caregivers may be used as proxies for community-dwelling older adults without severe cognitive impairments with functional limitations. TO CLAIM CME CREDITS: Complete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME CME OBJECTIVES: After reviewing this article, readers will be able to: (1) Describe the strength of association between self-reported functional independence and observations of family caregivers in a heterogeneous population of community-dwelling older adults with disabilities over time; (2) Describe the level of agreement between self-reported functional independence and observations of family caregivers over time; and (3) Describe the associations among self-reported, caregiver reported and evaluator rated functional independence over time. LEVEL: Advanced ACCREDITATION: The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

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)0.014
metaresearch head score (Gemma)0.025
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.023
GPT teacher head0.330
Teacher spread0.307 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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