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Record W2062164283 · doi:10.1177/030802260907200803

Home and Clinical Assessments of Instrumental Activities of Daily Living: What Could Explain the Difference between Settings in Frail Older Adults, If Any?

2009· article· en· W2062164283 on OpenAlexaff
Véronique Provencher, Louise Demers, Isabelle Gélinas

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsMcGill UniversityCentre for Interdisciplinary Research in RehabilitationUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsPsycINFOCINAHLActivities of daily livingGerontologyMEDLINEMedicineDementiaPopulationOccupational therapyPsychologyClinical psychologyPsychiatryPsychological interventionDisease

Abstract

fetched live from OpenAlex

Background: Older patients are usually assessed by occupational therapists in hospital before going home. However, for many frail older adults, this assessment in an unfamiliar environment might not be as representative of their functional abilities as an assessment at home. The aim of this literature review was to determine if differences exist between home and clinical instrumental activities of daily living (IADL) assessments of frail older adults and identify factors that might explain those differences, if any. Method: The sources of the review data were Medline, CINAHL, AMED, PsycINFO, Embase and Current Content from 1988 to 2008. As few relevant studies concerning frail people were found, the search was extended to mixed-age and older adult populations. Ten articles were retained. Main findings: The results suggest differences in IADL assessment between settings for older adults without dementia. Some factors, such as familiarity with the environment and coping skills, might explain those differences. Based on this review, similar results might be expected with frail older people. Implications for practice: Given the dearth of literature on this topic, further research is needed to compare home and clinical assessments and measure relevant factors in a frail population. Helping occupational therapists to identify frail patients, who may show different abilities in unfamiliar settings, could mean more appropriate services after discharge from hospital.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.364
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.048
GPT teacher head0.373
Teacher spread0.325 · 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 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

Citations5
Published2009
Admission routes1
Has abstractyes

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