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Record W4411740742 · doi:10.1111/jan.70038

‘I Feel the Pressure of Racing the Clock’: An Institutional Ethnography Examining Home Care Nursing in Canada

2025· article· en· W4411740742 on OpenAlexafffundabout
Tanya Sanders, Susan Duncan, Sonya L. Jakubec, Kelli Stajduhar

Bibliographic record

VenueJournal of Advanced Nursing · 2025
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsMount Royal UniversityUniversity of VictoriaThompson Rivers University
FundersCanadian Institutes of Health Research
KeywordsDocumentationNursingWork (physics)EthnographyHealth careQualitative researchMedicinePsychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Home care nursing is an essential component of health care in Canada, yet little is known about the work of home care nurses. AIMS AND DESIGN: As a part of a larger Canadian study on home care, this institutional ethnography (IE) focused on home care nurses in one health authority in Western Canada. The purpose of this research was to explore the work of home care nurses and to trace how this is organised and coordinated from the standpoint of the nurses. METHODS: IE is a methodology that focuses on day-to-day work from an established standpoint to uncover what is coordinating the work at a systems level. In this research, the standpoint of nurses was explored through interviews, observations and collected texts. Data were collected from March 2020 to December 2021. RESULTS: Nurses work in home care includes the determination, coordination and provision of care, documentation, supporting care givers, communication and referrals. The role is complex and uniquely autonomous. Texts that are used to collect information about home care nursing focus on task completion resulting in a representation of nursing practice that misses significant components including the organisation, relational and ethical work. Analysis shows that nurses' work, coordinated through electronic health documentation systems and texts, is influenced by dominant safety, efficiency and measurement discourses. CONCLUSION: Home care nurses' time is increasingly spent managing their referrals, documentation and schedules eclipsing time spent on direct client care. IMPACT: Understanding the invisible but dominant forces organising, and at times disorganising, the everyday work of nurses is a vital first step in creating change for home care nursing. PATIENT OR PUBLIC CONTRIBUTION: None. CONTRIBUTION TO THE WIDER GLOBAL COMMUNITY: Globally there is an increasing need for home care nursing to be delivered effectively; this research provides insights relevant to home care systems across jurisdictions.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.015
GPT teacher head0.312
Teacher spread0.298 · 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 designOther design
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

Citations0
Published2025
Admission routes3
Has abstractyes

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