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Record W2982500614 · doi:10.1177/2158244019885127

Incapacitated and Alone: Prevalence of Unbefriended Residents in Alberta Long-Term Care Homes

2019· article· en· W2982500614 on OpenAlexafffundabout
Stephanie Chamberlain, Wendy Duggleby, Janet Fast, Pamela B. Teaster, Carole A. Estabrooks

Bibliographic record

VenueSAGE Open · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Alberta
FundersAlzheimer Society
KeywordsLong-term careNursing homesMedicineCross-sectional studyGerontologyEnvironmental healthPopulationAssisted Living FacilityDemographyNursing

Abstract

fetched live from OpenAlex

The objective of this study was to assess the prevalence of residents who are incapacitated and have no surrogate decision maker, known as the “unbefriended” in Alberta long-term care (LTC) homes. Using cross-sectional online survey methods, data were collected from 123 staff (i.e., directors of care/nursing, administrators) from Alberta LTC homes. Information was collected on survey respondents’ demographic characteristics, number of unbefriended residents, and on organizational characteristics. The overall prevalence of unbefriended residents in LTC homes was 4.14% in Alberta ( SD = 6.28%, range: 0%-34.6%). Homes with the highest prevalence (nearly 15%) of unbefriended residents had >135 beds and were public not-for-profit and located in large urban centers. Fifty-three percent of unbefriended residents were male. The highest prevalence of unbefriended residents lived in homes located in large urban centers and public not-for-profit operators. Population level and LTC home level prevalence data are needed to assess the scope of unmet needs.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.583
Threshold uncertainty score0.840

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.370
Teacher spread0.347 · 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

Citations30
Published2019
Admission routes3
Has abstractyes

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