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Record W2155820271 · doi:10.1177/0013916504272658

Advantages and Disadvantages of Single-Versus Multiple-Occupancy Rooms in Acute Care Environments

2005· article· en· W2155820271 on OpenAlex

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.

Bibliographic record

VenueEnvironment and Behavior · 2005
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsOccupancyFlexibility (engineering)Health careAcute careMedicineMedical emergencyInfection controlControl (management)Post-occupancy evaluationOperations managementBusinessIntensive care medicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

Private patient rooms have become the industry standard in the United States based on the assumption that they reduce the rate of hospital-acquired infections, facilitate patient care and management, and afford greater therapeutic benefits for patients. The objective of this article is to reviewand analyze the existing literature to identify the empirical evidence related to the advantages and disadvantages of single versus multiple-occupancy patient rooms in hospitals. Three substantive areas were identified for synthesis of the review: (a) first and operating cost of hospitals, (b) infection control, and (c) health care facility management and hospital design and therapeutic impacts. The analysis reveals that private patient rooms reduce the risk of hospital-acquired infections, allow for greater flexibility in operation and management, and have positive therapeutic impacts on patients. This review highlights the need to consider room occupancy issues along with other patient care issues and environmental and management policies.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.820

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 communication0.0000.000
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 head0.047
GPT teacher head0.385
Teacher spread0.338 · 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