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Record W2267171676 · doi:10.3928/00989134-20160104-01

“It Doesn't Require Much Effort Once You Get to Know Them”: Certified Nursing Assistants' Views of Communication in Long-Term Care

2016· article· en· W2267171676 on OpenAlexaboutno aff
Christen Page, Graham D. Rowles

Bibliographic record

VenueJournal of Gerontological Nursing · 2016
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationNursingLong-term careContext (archaeology)Gerontological nursingFocus groupIntervention (counseling)PsychologyPerceptionNursing homesMedicineBusiness

Abstract

fetched live from OpenAlex

Certified nursing assistants (CNAs) provide the majority of hands-on care and become highly sensitive to residents' communication behaviors. Yet, CNAs feel disempowered when communicating residents' concerns to higher levels of authority. A grounded theory approach using focus group interviews with 23 CNAs was used to describe the communication environment in long-term care (LTC) and explore CNAs' perceptions of the acceptability of communication plans, a recent Canadian intervention to facilitate resident-staff communication. Findings suggest the communication environment in LTC relates to three overlapping constructs: (a) CNA and resident communication style; (b) paradox of context; and (c) dedication to residents. Although CNAs frequently interact with residents, a division between "top and bottom staff" communication was apparent in the findings. The current study suggested that communication plans may improve the communication environment in LTC settings. [Journal of Gerontological Nursing, 42(4), 42-51.].

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.779
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.108
GPT teacher head0.444
Teacher spread0.336 · 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 designObservational
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

Citations8
Published2016
Admission routes1
Has abstractyes

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