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Record W2168182130 · doi:10.12927/cjnl.2003.16236

Healthcare Restructuring with a View to Equity and Efficiency: Reflections on Unintended Consequences

2003· article· en· W2168182130 on OpenAlex
M. Judith Lynam, Angela Henderson, Annette J. Browne, Vicki Smye, Pat Semeniuk, Connie Blue, Savitri Singh, Joan M. Anderson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueNursing leadership · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of British Columbia Hospital
Fundersnot available
KeywordsRestructuringUnintended consequencesHealth careContext (archaeology)Equity (law)Public relationsNursingPsychologyMedicinePolitical scienceSociology

Abstract

fetched live from OpenAlex

This paper is developed from a research study that examined the hospitalization and helpseeking experiences of diverse ethnocultural populations in the era of healthcare restraint. Interview data were gathered from 60 patients while hospitalized and after their discharge home. Fifty-six healthcare professionals, the majority of whom were nurses caring for these patients while they were in hospital, were also interviewed. The data gathered in this study provides evidence to illustrate how restructuring associated with fiscal restraint designed to enhance efficiencies while ensuring the provision of medically necessary services, has had unintended consequences for some groups of patients and for nurses. These consequences have created a context for inequities in care delivery for those most vulnerable. In this paper we trace the ways in which the changed context of care delivery has exerted its effects on both nurses and patients and illustrate how each has sought to bridge gaps created when organizational supports are lacking. Our study data offer insight into the complexities of the practice setting and difficulties that arise when resources cannot be mobilized to match patients' needs. Our analysis examines how tensions between ideologies of efficiency and accessibility are navigated at the front lines, and draws attention to unintended consequences of the current policy context.

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.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.494
GPT teacher head0.393
Teacher spread0.101 · 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