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Record W4405105184 · doi:10.1080/11038128.2024.2436585

Older adults’ reasons for applying to a nursing home – a document analysis

2024· article· en· W4405105184 on OpenAlexaboutno aff
Lisa Spang, Kajsa Lidström-Holmqvist, Marie Holmefur, Cecilia Pettersson

Bibliographic record

VenueScandinavian Journal of Occupational Therapy · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersÖrebro Universitet
KeywordsNursing homesOccupational therapyNursingGerontologyNorm (philosophy)MedicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Ageing in place is the social norm in Sweden, yet older adults apply for a nursing home on a daily basis which suggests that ageing in place needs further study as it is not suitable for everyone. Aim: to study descriptions of older adults' reasons for applying to a nursing home in documents of granted nursing home decisions. MATERIALS AND METHODS: One hundred and sixty decisions were analyzed through document analysis with a deductive content analysis using the Canadian Model of Occupational Performance-Engagement (CMOP-E) as a framework. RESULTS: Reasons for applying were represented in the three factors of the CMOP-E. In personal factors, reason for applying was e.g. connected to severe anxiety. In environmental factors, family culture had an influence in the application. In occupational factors, the ability to perform self-care and mobility greatly affected decisions to apply to nursing homes. CONCLUSION: Descriptions of the older adults' activities in daily life were limited. If OTs were further involved in nursing home applications, adults ageing in place could be better supported and a move to a nursing home may be prevented. Significance: this study contributes to the understanding of why older adults chose to apply to a nursing home.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.063
GPT teacher head0.460
Teacher spread0.397 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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