A study protocol for performance evaluation of a new academic intensive care unit facility: impact on patient care
Bibliographic record
Abstract
BACKGROUND: Healthcare facility construction is increasing because of population demand and the need to replace ageing infrastructure. Research suggests that there may be a relationship between healthcare environment and patient care. To date, most evaluations of new healthcare facilities are derived from techniques used in other industries and focus on physical, financial and architectural performance. However, few studies have evaluated the impact of healthcare facility design on processes and outcomes of patient care. STUDY AIMS: The primary objective of this study was to investigate the impact of relocation to a new intensive care unit (ICU) facility on clinical performance measures. This study also proposes to develop and test a framework for facility performance evaluation using accepted ICU design guidelines and Donabedian's model for healthcare quality. METHODS AND ANALYSIS: We will utilise a mixed-methods, observational, retrospective, controlled, before-and-after design to take advantage of the quasiexperimental conditions created with the construction of a new ICU facility in Calgary, Canada. For the qualitative substudy, we will conduct individual interviews with end-users to understand their impressions and experiences with the new environment and perform thematic analysis. For the quantitative substudy, we will compare process of care indicators and patient outcomes for the 12-month period before and after relocation to the new facility. Two other local ICU facilities that did not undergo structural change during the study period will serve as controls. We will triangulate qualitative and quantitative results utilising a novel framework. ETHICS AND DISSEMINATION: The results of this study will contribute in understanding the impact of new ICU facilities on clinical performance measures centred on patients, their families and healthcare providers. The framework will complement existing building performance evaluation techniques and help healthcare administrators plan new ICU facilities. The University of Calgary Research Ethics Board approved this study protocol.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".