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Record W3111825437 · doi:10.1177/1049732320976373

Sources of Distress for Residents With Chronic Critical Illness and Ventilator Dependence in Long-Term Care

2020· article· en· W3111825437 on OpenAlexafffund
A. Fuchsia Howard, Sarah Crowe, Laura Choroszewski, Joe Kovatch, Adrianne Jansen Haynes, Joan S Ford, Scott M. Beck, Gregory Haljan

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsFraser HealthUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsFeelingDistressQuality of life (healthcare)MedicinePsychologyNursingPsychiatryClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

Limited understanding of the psychological challenges experienced by individuals with chronic critical illness hampers efforts to deliver quality care. We used an interpretive description approach to explore sources of distress for individuals with chronic critical illness in residential care, wherein we interviewed six residents, 11 family members, and 21 staff. Rather than discuss physical symptoms, sources of distress for residents were connected to feeling as though they were a patient receiving medical care as opposed to an individual living in their home. The tension between medical care and the unmet need for a sense of home was related to care beyond the physical being overlooked, being dependent on others but feeling neglected, frustration with limited choice and participation in decision making, and feeling sad and alone. Efforts to refine health care for individuals with chronic critical illness must foster a sense of home while ensuring individuals feel safe and supported to make decisions.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.174
GPT teacher head0.541
Teacher spread0.367 · 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.

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

Citations6
Published2020
Admission routes2
Has abstractyes

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