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Background: Family intensive care unit (ICU) syndrome, a comorbid response to another person's stay in the ICU, is characterized by emotional distress, poor sleep health, and decision fatigue. Objectives: This pilot study examined associations among symptoms of emotional distress (anxiety and depression), poor sleep health (sleep disturbance), and decision fatigue in a sample of family members of patients in the ICU. Methods: The study used a repeated-measures, correlational design. Participants were 32 surrogate decision makers of cognitively impaired adults who had at least 72 consecutive hours of mechanical ventilation within the neurological, cardiothoracic, and medical ICUs at an academic medical center in northeast Ohio. Surrogate decision makers with a diagnosis of hypersomnia, insomnia, central sleep apnea, obstructive sleep apnea, or narcolepsy were excluded. Severity of symptoms of family ICU syndrome was measured at 3 time points in 1 week. Zero-order Spearman correlations of the study variables were interpreted at baseline and partial Spearman correlations of study variables were interpreted 3 days and 7 days after baseline. Results: The study variables showed moderate to large associations at baseline. Baseline anxiety and depression were associated with each other and with decision fatigue at day 3. Baseline sleep disturbance was associated with anxiety, depression, and decision fatigue at day 7. Conclusions: Understanding the temporal dynamics and mechanisms of the symptoms of family ICU syndrome can inform clinical, research, and policy initiatives that enhance the provision of family-centered critical care. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has imposed pervasive stress and significant disruptions in sleep health in young adults. The purpose of this study was to describe the perceived facilitators and barriers of sleep health among young adults with type 1 diabetes during the COVID-19 pandemic. Thirty-two young adults with T1D (87.5% female; mean age = 21.5, SD = 2.0) participated in an online survey between January and July 2021. Young adults between the ages of 18–25 years with T1D for at least 6 months were eligible to participate, while those who had a previous OSA diagnosis, were currently pregnant, or worked the night shift were not eligible to participate. A qualitative descriptive approach was used to explore the perceived facilitators and barriers to sleep among a convenience sample. Qualitative content was analyzed and coded for themes using qualitative content analysis. Responses were coded using an in vivo approach. Young adults with T1D identified changes in facilitators and barriers of sufficient sleep from before the COVID-19 pandemic to during the pandemic. Three overarching barriers and facilitators were identified: (1) general, (2) diabetes-specific, and (3) COVID-19 specific. Our findings can inform future educational and cognitive-behavioral interventions to promote sleep health in young adults with T1D and other complex chronic conditions. When designing sleep-promoting interventions for young adults with T1D in the COVID-19 pandemic and post-pandemic, researchers should consider T1D as well as COVID-specific barriers and facilitators. [ABSTRACT FROM AUTHOR]

Background: The Hospital Anxiety and Depression Scale (HADS) is commonly used clinically and scientifically among surrogate decision makers for critically ill patients. The validity of the HADS has been scrutinized, but its use among surrogate decision makers has not been examined. Objective: To examine the structural validity of the HADS. Methods: This study was a secondary analysis of data obtained from a 3-arm randomized controlled trial of a decision support intervention. Participants were recruited from 6 intensive care units at a tertiary medical center in Northeast Ohio. Participants were adult surrogate decision makers for critically ill, cognitively impaired adults who were not expected to be discharged from the intensive care unit within the subsequent 48 hours. The fit of 2-factor, 3-factor, and bifactor structures of the HADS was tested with confirmatory factor analysis. Results: The bifactor structure, possessing a general psychological distress factor and anxiety and depression group factors, showed a superior fit and met a priori thresholds for acceptable model fit. The general psychological distress factor accounted for more than 75% of the common variance in the HADS items. Conclusion: Confirmatory factor analysis provided evidence supporting a bifactor structure of the HADS. In this sample, the instrument validly measures psychological distress rather than distinct symptoms of anxiety and depression. Replication of these results is encouraged, and use of alternative measures is recommended when measuring distinct symptoms of anxiety and depression among surrogate decision makers for critically ill patients. [ABSTRACT FROM AUTHOR]

Surrogate decision makers (SDMs) of the critically ill experience intense emotions and transient states of decision fatigue. These factors may increase the cognitive load experienced by electronic decision aids. This cross-sectional study explored the associations of emotion regulation (expressive suppression and cognitive reappraisal) and decision fatigue with cognitive load (intrinsic and extraneous) among a sample of 97 SDMs of the critically ill. After completing subjective measures of emotion regulation and decision fatigue, participants were exposed to an electronic decision aid and completed a subjective measurement of cognitive load. Multiple regression analyses indicated that decision fatigue predicted intrinsic cognitive load and expressive suppression predicted extraneous cognitive load. Emotion regulation and decision fatigue represent modifiable determinants of cognitive load among SDMs exposed to electronic decision aids. [ABSTRACT FROM AUTHOR]

The author discusses the article "Receptive Music Therapy for Patients Receiving Mechanical Ventilation in the Intensive Care Unit," published within the issue. Topics include effects of stressors faced by patients receiving mechanical ventilation (MV), promising means of alleviating stress responses among MV patients, and the influence of live music therapy (LMT) on physiological stress of critically ill adults receiving MV.

Intense emotional distress and impaired information processing have been implicated in reducing a surrogate decision maker’s ability to formulate informed health care decisions for a critically ill patient. The heightened intensity of negative emotions, mental effort, and impaired judgment is consistent with the manifestation of decision fatigue. The aim of this article is to describe the validity and reliability of the Decision Fatigue Scale (DFS) among surrogate decision makers of the critically ill. A convenience sample of 101 surrogate decision makers were administered the DFS and a battery of psychosocial instruments at two time points. The DFS was specified as a unidimensional measure with adequate internal consistency (Cronbach’s αs = .87, .90) and stability reliability. Discriminant validity was established with measures of emotion regulation, anxiety, and depressive symptoms. The DFS is the first subjective measure of decision fatigue for surrogate decision makers of the critically ill that demonstrates satisfactory psychometric properties. [ABSTRACT FROM AUTHOR]