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Record W2792893290 · doi:10.1177/1074840718754314

From Family Involvement to Family Inclusion in Nursing Home Settings: A Critical Interpretive Synthesis

2018· review· en· W2792893290 on OpenAlexafffund
Gloria Puurveen, Jennifer Baumbusch, Preet Gandhi

Bibliographic record

VenueJournal of Family Nursing · 2018
Typereview
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BCUniversity of British ColumbiaAlzheimer Society
KeywordsInclusion (mineral)NursingPerspective (graphical)Variety (cybernetics)Grounded theoryPerceptionNursing homesPsychologyMedicineQualitative researchSociologySocial psychology

Abstract

fetched live from OpenAlex

The provision of care work by families plays an integral role in the quality of life of older adults living in a nursing home setting. This critical interpretive synthesis examines family members' perceptions of their roles and responsibilities in nursing home settings and interrogates the structural and relational barriers and enablers to family involvement as they relate to fostering an inclusive environment. Electronic databases and published literature were searched for empirical studies that were conducted in a nursing home setting and described involvement from the perspective of family members. Thirty-two articles published between 2006 and 2016 were included in the review. Although involvement comprised a variety of roles and responsibilities, it was grounded in family-resident relationships, influenced by family-staff relationships, and deeply affected by broader sociopolitical factors. We conclude that involvement should be understood as a democratic process with supporting policies and programs to encourage family inclusion in facility life.

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)0.049
metaresearch head score (Gemma)0.099
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.049
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.099
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0160.012
Science and technology studies0.0030.008
Scholarly communication0.0100.010
Open science0.0030.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.073
GPT teacher head0.467
Teacher spread0.394 · 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 designQualitative
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

Citations158
Published2018
Admission routes2
Has abstractyes

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