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Record W4406212538 · doi:10.1177/07334648241309761

Relationship-Centered Care for Older Adults in Long-Term Care Homes: A Scoping Review

2025· review· en· W4406212538 on OpenAlexafffund
Shreemouna Gurung, Habib Chaudhury

Bibliographic record

VenueJournal of Applied Gerontology · 2025
Typereview
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSimon Fraser University
FundersAlzheimer Society of B.C.Social Sciences and Humanities Research Council of CanadaAlzheimer Society
KeywordsCINAHLPsycINFOLong-term careTransformative learningMEDLINEGerontologyPsychologyNursingMedicinePsychological interventionPolitical scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

This scoping review, following Levac et al.'s methodology, examines the implementation and impact of relationship-centered care (RCC) in long-term care (LTC) settings for older adults. Peer-reviewed articles from AgeLine, CINAHL Complete, MEDLINE, PsycINFO, and Web of Science were included if published after 2000, involved older adults in LTC homes, focused on RCC, and conducted in Australia, Europe, New Zealand, or North America. Key findings were organized using inductive content analysis, and 41 empirical studies with qualitative, quantitative, and mixed-methods designs were included. Three categories emerged: (1) Core Practices of RCC-relationship building and reciprocal exchange; (2) Transformative Impacts of RCC-improved care quality and collaboration; and (3) Pathways and Roadblocks to RCC-individual and organizational factors. By understanding the key elements, facilitators, and barriers of RCC, policymakers and practitioners can develop targeted strategies to improve care experiences and outcomes for residents, families, staff, and all others involved 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)0.001
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 score0.448
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.085
GPT teacher head0.473
Teacher spread0.388 · 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

Citations14
Published2025
Admission routes2
Has abstractyes

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