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Record W2756499027 · doi:10.1177/0269215517733114

A qualitative study of healthcare provider perspectives on measuring functional outcomes in geriatric rehabilitation

2017· article· en· W2756499027 on OpenAlexafffundabout
Christine Glenny, Ayse Kuspinar, Gary Naglie, Paul Stolee

Bibliographic record

VenueClinical Rehabilitation · 2017
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsBaycrest HospitalUniversity of TorontoUniversity Health NetworkUniversity of WaterlooToronto Rehabilitation InstituteMcMaster University
FundersGovernment of CanadaMcMaster University
KeywordsRehabilitationGeriatric rehabilitationQualitative researchHealth careNursingMedicinePhysical medicine and rehabilitationPhysical therapyPsychologySociology

Abstract

fetched live from OpenAlex

OBJECTIVES: To explore, from the perspective of healthcare providers, the barriers to and facilitators of using standardized outcome measures of physical function in geriatric rehabilitation settings. METHODS: In-depth semi-structured interviews with medical doctors, nurses, physiotherapists and occupational therapists were conducted from three geriatric rehabilitation hospitals in Ontario. Qualitative content analysis through an inductive approach was used to identify barriers to and facilitators of outcome measurement in geriatric rehabilitation settings. RESULTS: A total of 20 healthcare providers from different disciplines were interviewed. Barriers are standardized outcome measures that (1) cannot be used in isolation to inform clinical decision-making for older patients, (2) are difficult to complete and interpret in older complex patients, (3) may not be useful for all members of the clinical team and (4) are used for reasons unrelated to patient care. Facilitators are to (1) divide the standardized outcome measure into components that are useful for each team member's practice, (2) encourage standardized outcome measures as tools for improving daily communication and (3) provide adequate education and support for their daily use. CONCLUSION: This study revealed important barriers to using standardized outcome measures in geriatric rehabilitation from the perspective of healthcare providers. However, it also identified multiple factors that may help facilitate their use.

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)0.093
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.093
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.143
GPT teacher head0.487
Teacher spread0.344 · 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

Citations3
Published2017
Admission routes3
Has abstractyes

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