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Record W2530081865 · doi:10.1002/nop2.497

Exploring residential care aide experiences with oral malodour in long‐term care

2020· article· en· W2530081865 on OpenAlexaff
Charanpreet Singh Dhami, Leeann Donnelly

Bibliographic record

VenueNursing Open · 2020
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsQualitative researchPsychologyNursingLong-term careResidential careMedicineMedical educationSociology

Abstract

fetched live from OpenAlex

Aim: To determine what experiences do residential care aides (RCAs) have with individuals living with oral malodour in a long-term care (LTC) facility? Design: Study investigation was done using an interpretive qualitative approach paired with a social constructivism interpretive framework. Methods: The study was conducted in May of 2015 through face-to-face interviews with RCAs, which were recorded and transcribed verbatim, observations of RCAs in their work environment, as well as RCA personal logs of their daily experiences with odour during caregiving. Thereafter, data were analysed and coded for emerging themes. Results: Five major themes were identified after grouping the codes: 1) attitudes and behaviours when caring for residents with malodour; 2)RCA knowledge of oral malodour; 3) level of job satisfaction among RCAs that care for residents with malodour; 4) culture and malodour; and 5) challenges of care giving compounded by malodour. These themes depict the overall experiences of study participants.

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)0.000
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 score0.206
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.483
GPT teacher head0.353
Teacher spread0.130 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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