Factors associated with anxiety in critically ill patients: A prospective observational cohort study

Castillo, M. I., Cooke, M., Macfarlane, B. & Aitken, L. M. (2016). Factors associated with anxiety in critically ill patients: A prospective observational cohort study. International Journal of Nursing Studies, 60, pp. 225-233. doi: /10.1016/j.ijnurstu.2016.05.007

[img]
Preview
Text - Accepted Version
Available under License : See the attached licence file.

Download (254kB) | Preview
[img]
Preview
Text (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence) - Draft Version
Download (201kB) | Preview

Abstract

Background: Anxiety is an unpleasant emotion that most intensive care patients experience. This emotion is an important issue in intensive care settings because of its prevalence, adverse effects and severity. Little is known about the factors associated with state and trait anxiety during critical illness.

Objectives: To describe the patterns of state anxiety reported by intensive care patients, and identify factors associated with state and trait anxiety.

Design: Prospective observational cohort study.

Settings: One mixed intensive care unit in Brisbane, Australia.

Participants: Adults (n=141, ≥18 years), admitted to the intensive care unitfor ≥24 hours; able to communicate verbally or non-verbally; understand English; and, open their eyes spontaneously or in response to voice.

Methods: Outcomes were state anxiety as measured by the Faces Anxiety Scale and trait anxiety as measured by the State-Trait Anxiety Inventory. Pre-intensive care factors tested for possible associations with both state and trait anxiety were: age, gender, marital status, employment status, level of education, smoking status, personality trait of optimism and evidence of mental health care/treatment. Intra-intensive care factors tested were: reason for admission to the intensive care unit, delirium, pain, airway status, hours of mechanical ventilation, severity of illness, days of stay in intensive care, exposure to corticosteroids, opioids, benzodiazepines, anxiolytics, antidepressants, beta-blockers, anesthetic agents and analgesics; length of sedation and analgesia and total doses of sedatives and analgesics.

Results: Of 141 participants, 98 (70%) were male with an average age of 54 (Standard Deviation [SD]: ±15) years and stayed in intensive care for about (Interquartile Range [IQR]: 3-7) days. The majority (n=115; 82%) of participants experienced state anxiety at least once during their stay in intensive care, with 57% reporting moderate to severe levels. Moderate levels of anxiety were predominantly reported from days 6 to 12 and then decreased. Trait anxiety in these participants (median 36 IQR: 29-47) was very similar to the Australian population. Factors related to state anxiety in intensive care were pain and trait anxiety. Factors associated with trait anxiety were trait optimism, state anxiety, evidence of mental health care/treatment and age.

Conclusion:
This study provides a better understanding of contributing factors for anxiety in the critically ill. Trait anxiety and state anxiety were significantly associated with each other, namely, patients who were anxious by nature experienced higher levels of state anxiety, which persisted throughout their stay in the intensive care unit. Recognising the importance of state and trait anxiety assessments using validated tools and determining ways to manage anxiety in the critically ill are critical aspects of the intensive care nurses role.

Item Type: Article
Additional Information: © 2016 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Critically ill; Intensive care unit; Risk factors; State anxiety; Trait anxiety
Subjects: R Medicine > RT Nursing
Divisions: School of Health Sciences > Department of Adult Nursing
URI: http://openaccess.city.ac.uk/id/eprint/14734

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics