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Patientsʼ recollection of intensive care unit experience

TURNER, JOHN S., BRIGGS, SANDRA J., SPRINGHORN, HELGE E., POTGIETER, PETER D.·1990·Critical Care Medicine

Abstract

This study evaluates the recall of 100 patients after ICU admission. There was a wide spectrum of race, religion, occupation, and educational levels. The more common diagnoses included asthma, pneumonia, trauma, and adult respiratory distress syndrome. The average Acute Physiology and Chronic Health Evaluation (APACHE II) score was 12.3, and 68% of the patients were mechanically ventilated. The ICU atmosphere was described as friendly or relaxed by 94% of patients. Confidence in doctors and nurses was good. The most frequently reported unpleasant experiences were arterial blood gas sampling (48% of patients) and tracheal suctioning (30 of 68 ventilated patients). Only 6% of patients disliked ward rounds and discussion around the bedside. This study suggests that arterial lines or pulse oximetry could be used to avoid frequent arterial blood gas analyses and that tracheal suctioning should be performed with greater care. The need for better communication with patients is emphasized.

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Metadata

Authors
TURNER, J. S., BRIGGS, S. J., SPRINGHORN, H. E., & POTGIETER, P. D.
Venue
Critical Care Medicine
Published
1990-09
Volume
18
Issue
9
Pages
966-968
ISSN
0090-3493 (ISSN-L)
OpenAlex
W2035451186
Cited by
197
References
0
FWCI
5.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Patientsʼ recollection of intensive care unit experience. https://app.cochat.ai/papers/10.1097/00003246-199009000-00012
The paper
TURNER, J. S., BRIGGS, S. J., SPRINGHORN, H. E., & POTGIETER, P. D. (1990). Patientsʼ recollection of intensive care unit experience. Critical Care Medicine. https://doi.org/10.1097/00003246-199009000-00012

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.