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Record W2778118552 · doi:10.1177/0733464817750275

The Influence of Supportive Supervisory Practices and Health Care Aides’ Self-Determination on the Provision of Person-Centered Care in Long-Term Care Facilities

2017· article· en· W2778118552 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Gerontology · 2017
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsToronto Rehabilitation InstituteUniversity of CalgaryUniversity of Lethbridge
Fundersnot available
KeywordsMediationStructural equation modelingLong-term carePerson-centered careNursingAssisted livingMedicinePsychologyHealth care

Abstract

fetched live from OpenAlex

Person-centred care (PCC) is recognized as best practice in long-term care (LTC). Using a cross-sectional design, we examined the relationship between supportive supervisory practices and health care aides’ (HCAs) self-determination on HCAs’ perceived ability to provide PCC. A total of 131 HCAs from four LTC facilities participated in the study. There were strong, positive associations between HCAs’ self-determination and their perceived ability to provide PCC, r = .59, p < .0001, and how supportive their supervisors were, r = .50, p < .0001. Mediation analysis using structural equation modeling found the direct effect of self-determination on PCC was 73% of its total effect on PCC; its indirect effect mediated through supervisory support was 27% of its total effect on PCC. Improving supportive supervisory relationships that encourage and enable HCAs’ self-determination in LTC settings may be an important and effective means by which to increase the provision of PCC.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.591

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 integrity0.0000.001
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 head0.098
GPT teacher head0.415
Teacher spread0.317 · 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