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Record W2901464684 · doi:10.1093/geront/gny141

“I Didn’t Even Make My Bed”: Hospital Relocations and Resident Adjustment in Long-Term Care Over Time

2018· article· en· W2901464684 on OpenAlexafffund
Tamara Sussman, Brittany Orav-Lakaski

Bibliographic record

VenueThe Gerontologist · 2018
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcGill University
FundersFonds de Recherche du Québec-Société et Culture
KeywordsTerm (time)PsychologyNursingMedicinePhysics

Abstract

fetched live from OpenAlex

PURPOSE OF THE STUDY: This prospective longitudinal qualitative study sought to identify the conditions that help or hinder older adults' capacities to adjust to long-term care (LTC) when relocating from hospital. DESIGN AND METHODS: Informed by the principles of constructivist grounded theory, this study employed semi-structured interviews with LTC home residents. Participants were interviewed 4 weeks after their initial relocation, and again every 6 months until they had either resided in their final LTC home for at least 3 months or been enrolled in the study for 2 years. Transcribed interviews were analyzed using the constant comparative method that employs the principle of comparison to guide the analytic process. FINDINGS: A total of nine residents participated in 24 interviews and most had undergone two or more moves. Analysis of the data revealed that multiple forced moves challenged residents' capacities to find home in LTC by contributing to anxiety and uncertainty, hindering resident-staff relations, and interfering with residents' desires to connect with one another. Analysis of the data further revealed that relocation frameworks may require adaptations to more accurately reflect older adults' experiences with relocation from hospital to LTC. IMPLICATIONS: Hospital relocations pose many challenges to residents' capacities to find home in LTC, in part, because they initiate a process of multiple moves. Until the moving process from hospital truly acknowledges and explores residents' preferences, offers choices, and supports joint decision making, it will remain challenging for the LTC home sector to help residents find meaning, purpose, and home in LTC.

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)0.000
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 score0.355
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.025
GPT teacher head0.369
Teacher spread0.345 · 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

Citations6
Published2018
Admission routes2
Has abstractyes

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