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Record W2275040684 · doi:10.1177/0733464815602109

Family Involvement in Nursing Homes: Are Family Caregivers Getting What They Want?

2015· article· en· W2275040684 on OpenAlexafffundabout
R. Colin Reid, Neena L. Chappell

Bibliographic record

VenueJournal of Applied Gerontology · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of VictoriaOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsDementiaFamily caregiversNursing homesCongruence (geometry)PsychologyFamily memberNursingGerontologyMedicineFamily medicineSocial psychologyDisease

Abstract

fetched live from OpenAlex

The provision of person-centered care for nursing home residents with dementia suggests the need for family caregiver involvement. In this article, we argue that optimal family involvement differs by family caregiver and therefore depends on the degree to which family caregivers consider their own involvement to be important. In this Canadian study, we compare the importance that 135 family caregivers of residents with dementia place on 20 kinds of involvement with the degree to which they perceive opportunities for involvement. Family Involvement Congruence Scores are calculated in three ways: those for whom involvement is important, those for whom involvement is not important, and an overall congruence score. Congruence scores varied by involvement type. These scores show promise for use in future research on family caregiver involvement and as tools for use by facilities as they endeavor to meet family caregiver expectations for involvement.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.079
GPT teacher head0.381
Teacher spread0.302 · 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 designQualitative
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

Citations56
Published2015
Admission routes3
Has abstractyes

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