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Record W4225128106 · doi:10.1002/nop2.1222

Effects of a person‐centred and thriving‐promoting intervention on nursing home residents’ experiences of thriving and person‐centredness of the environment

2022· article· en· W4225128106 on OpenAlexfundno aff
Karin Sjögren, Ådel Bergland, Marit Kirkevold, Marie Lindkvist, Qarin Lood, Per‐Olof Sandman, Tove Karin Vassbø, David Edvardsson

Bibliographic record

VenueNursing Open · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersLovisenberg Diakonale HøgskoleFaculty of Medicine, McGill UniversityUniversitetet i OsloVetenskapsrådetForskningsrådet om Hälsa, Arbetsliv och VälfärdUmeå Universitet
KeywordsThrivingNursing homesIntervention (counseling)NursingRecreationProxy (statistics)MedicinePsychologyGerontology

Abstract

fetched live from OpenAlex

AIM: To evaluate the effects of a person-centred and thriving-promoting intervention on nursing home residents´ experiences of thriving and person-centredness of the environment, and to evaluate if the effects varied between female and male residents. DESIGN: A multi-centre, non-equivalent controlled group before-after intervention design. METHODS: Six nursing homes in Australia, Norway and Sweden were allocated to either intervention or control group. The intervention comprised a staff educational programme. A survey using proxy-ratings by staff was administered before (T0), immediately after (T1) and six months after (T2) the intervention. The sample varied between 205 and 292 residents. Linear regression models were used to explore effects. RESULTS: Statistically significant effects were found on experiences of thriving and person-centredness of the environment. These effects were significant for male residents but not for female residents. The results emphasize the importance of individually tailored social and recreational activities.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.041
GPT teacher head0.346
Teacher spread0.304 · 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 designQualitative
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

Citations9
Published2022
Admission routes1
Has abstractyes

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