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Nursing home residents in emergency departments: a Foucauldian analysis

2007· review· en· W1968050551 on OpenAlexaff
Rose McCloskey, Deborah van den Hoonaard

Bibliographic record

VenueJournal of Advanced Nursing · 2007
Typereview
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSt. Thomas UniversityUniversity of New Brunswick
FundersHome Office
KeywordsCINAHLNursingMedicineEmergency nursingMEDLINEEmergency departmentPsychological interventionPrimary nursingMedical emergencyNurse education

Abstract

fetched live from OpenAlex

AIM: This paper is a critical review of current knowledge about use of emergency departments by nursing home residents. BACKGROUND: A great deal of literature focuses on the challenges presented by older adults in acute care environments. Nursing home residents who transfer to emergency departments have been identified as being particularly problematic because they use considerable resources and their needs are not always amenable to acute interventions. METHOD: A literature search was conducted in May 2006 using the CINAHL, Medline and Cochrane databases and Google Scholar with the keywords 'nursing home resident', 'long-term care resident', 'hospital transfer', and 'acute illness and emergency room'. No date restrictions were imposed. Foucault's concept of subjectivity was used to demonstrate how power derived from medical knowledge is used by emergency department personnel to construct nursing home residents as problematic. FINDINGS: Knowledge about the use of emergency departments by nursing home residents has been derived mainly from retrospective record reviews, while the events in nursing homes that lead to transfers have been virtually ignored. Moreover, the primary focus of these investigations has been the effect of residents on emergency departments, rather than how residents themselves were affected. CONCLUSION: Current understanding of the care of nursing home residents in emergency departments is embedded in a complex web of social, historical and political factors. Research is needed that considers multiple perspectives, including those of both emergency department and nursing home staff, residents and ambulance personnel who act as mediators between the two settings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.029
metaresearch head score (Gemma)0.083
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.083
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0300.022
Science and technology studies0.0030.004
Scholarly communication0.0040.005
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.092
GPT teacher head0.522
Teacher spread0.429 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreReview

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

Citations38
Published2007
Admission routes1
Has abstractyes

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