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Record W2963386566 · doi:10.1177/1471301219862439

A qualitative systematic review of experiences of persons with dementia regarding transition to long-term care

2019· review· en· W2963386566 on OpenAlexaff
Jessica Young, Christopher Lind, J. B. Orange

Bibliographic record

VenueDementia · 2019
Typereview
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsWestern University
FundersFlinders University
KeywordsCINAHLDementiaPsycINFOScopusPsychologyQualitative researchMEDLINELong-term careGerontologyInclusion (mineral)Psychological interventionMedicinePsychiatrySocial psychologySociologyDisease

Abstract

fetched live from OpenAlex

INTRODUCTION: The current qualitative systematic review identified and examined critically the literature on how persons with dementia experience transitions to long-term care. Results are intended to help develop guidelines for future care and research. METHOD: A search was conducted of OvidSP, SCOPUS, Web of Science, ProQuest, PsycINFO, CINAHL, AgeLine and Informit databases. In total, 4705 articles were reviewed (published 1954-2018). A textual narrative approach was used to synthesise the findings of the included articles. RESULTS: Seven articles met inclusion criteria (five using data collected from interviews with persons with dementia and two using reports from a proxy). Overall, the findings showed that transition to long-term care possesses varied meanings for persons with dementia, is often not the decision of the persons with dementia, and is a process throughout which social connections remain important. DISCUSSION: Accounts of the experiences of persons with dementia regarding transitions from community to long-term care show that they and their families should be supported: with respect to their individual contexts, to share the positives and negatives of the transition experiences, to make decisions together, and to maintain old and establish new social connections.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.100
GPT teacher head0.478
Teacher spread0.378 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations23
Published2019
Admission routes1
Has abstractyes

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