Families of critically ill patients are predisposed to tremendous burdens when their relatives are admitted to the intensive care unit (ICU). Postintensive care syndrome family (PICS‐F) can be described as a devastated life, encompassing psychological, physical, and socioeconomical burdens that begin with the emotional impact experienced by the family when the patient is admitted to the ICU. PICS‐F was primarily proposed as a clinically significant psychological impairment, but it needs to be extended beyond the psychological impairment of the family to include physical and socioeconomical impairments in the future. The prevalence of physiological problems including depression, anxiety and post‐traumatic syndrome is 20–40%, and that of non‐physiological problems including fatigue is 15% at 6 months after the ICU stay. Assessment of PICS‐F was frequently conducted at 3‐ or 6‐month points, although the beginning of the evaluation was based on different assessment points among each of the studies. Families of ICU patients need to be given and understand accurate information, such as the patient's diagnosis, planned care, and prognosis. Prevention of PICS‐F requires a continuous bundle of multifaceted and/or multidisciplinary interventions including providing a family information leaflet, ICU diary, communication facilitators, supportive grief care, and follow‐up, for the patient and families from during the ICU stay to after discharge from the ICU. This is the first comprehensive review of PICS‐F to address the concept, risk factors, assessment tools, prevalence, and management to prevent PICS‐F to facilitate acute care physicians' understanding of PICS‐F.

Introduction: Burnout among healthcare professionals in intensive care units (ICUs) is a serious issue that leads to early retirement and medication errors. Their gender, lower years of experience, and lower education have been reported as risk factors. Simultaneously, mutual support—commonly referred to as “back-up behavior,” in which staff members support each other—is critical for team performance. However, little is known about the influence of mutual support among ICU healthcare professionals on burnout. The U.S. Agency for Healthcare Research and Quality refers to mutual support as the involvement of team members in: assisting one another, providing and receiving feedback, and exerting assertive and advocacy behaviors when patient safety is threatened. Objective: This study aimed to verify the hypothesis that lower mutual support among ICU healthcare professionals is associated with increased probability of burnout. Methods: A web-based survey was conducted from March 4 to 20, 2021. All ICU healthcare professionals in Japan were included. An invitation was sent via the mailing list of the Japanese Society of Intensive Care Medicine and asked to mail to local communities and social network services. We measured burnout severity using the Maslach Burnout-Human Services Survey and mutual support using the TeamSTEPPS Teamwork Perceptions Questionnaire, as well as occupational background. The cutoff value for burnout was predefined and conducted logistic regression. Results: We received 335 responses, all of which were analyzed. The majority of respondents were nurses (58.5%), followed by physicians (18.5%) and clinical engineers (10.1%). The burnout group scored significantly lower on mutual support than the non-burnout group. After adjusting for covariates in a logistic regression, low mutual support was an independent factor predicting a high probability of burnout. Conclusions: This study suggests that it is important to focus on mutual support among ICU healthcare professionals to reduce the frequency of burnout.

This study aimed to evaluate the effectiveness of nurse-led interventions for the prevention of mental health disorders after intensive care unit discharge through a systematic review of the literature. The searches were conducted in the MEDLINE (via PubMed), CINAHL, PsycINFO, and Cochrane Library databases for studies pertaining to such interventions. Two independent reviewers analyzed the studies, extracted data, and assessed the quality of the evidence. Six eligible articles were identified, all of which were regarding post-traumatic stress disorder after intensive care unit discharge. Some of the interventions were conducted during the admission and some after the discharge. One study found that multimedia education during admission improved anxiety and depression one week after discharge. The remaining five studies concluded that nurse-led interventions did not prevent mental health disorders three months to one year after intensive care unit discharge. Our review revealed a paucity of research into the effectiveness of nurse-led interventions for the prevention of mental health disorders after intensive care unit discharge. The timing and the content of these interventions, and the adequate training of nurses, appear to be key factors. Therefore, multidisciplinary interventions are likely to be more effective than those led by nurses alone.

Background: Extubation failure, i.e., reintubation in ventilated patients, is a well-known risk factor for mortality and prolonged stay in the intensive care unit (ICU). Although sputum volume is a risk factor, the frequency of tracheal suctioning has not been validated as a predictor of reintubation. We conducted this study to examine whether frequent tracheal suctioning is a risk factor for reintubation. Patients and methods: We included adult patients who were intubated for > 72 h in the ICU and extubated after completion of spontaneous breathing trial (SBT). We compared the characteristics and weaning-related variables, including the frequency of tracheal suctioning between patients who required reintubation within 24 h after extubation and those who did not, and examined the factors responsible for reintubation. Results: Of the 400 patients enrolled, reintubation was required in 51 (12.8%). The most common cause of reintubation was difficulty in sputum excretion (66.7%). There were significant differences in sex, proportion of patients with chronic kidney disease, pneumonia, ICU admission type, the length of mechanical ventilation, and ICU stay between patients requiring reintubation and those who did not. Multivariate analysis showed frequent tracheal suction (> once every 2 h) and the length of mechanical ventilation were independent factors for predicting reintubation. Conclusion: We should examine the frequency of tracheal suctioning > once every 2 h in addition to the length of mechanical ventilation before deciding to extubate after completion of SBT in patients intubated for > 72 h in the ICU.

This study evaluated the accuracy of predicting unplanned the intensive care unit (ICU) readmission using the Nursing Activities Score (NAS) at ICU discharge based on nursing workloads, and compared it to the accuracy of the prediction made using the Stability and Workload Index for Transfer (SWIFT) score. Patients admitted to the ICU of Sapporo Medical University Hospital between April 2014 and December 2017 were included, and unplanned ICU readmissions were retrospectively evaluated using the SWIFT score and the NAS. Patient characteristics, such as age, sex, the Charlson Comorbidity Index, and sequential organ failure assessment score at ICU admission, were used as covariates, and logistic regression analysis was performed to calculate the odds ratios for the SWIFT score and NAS. Among 599 patients, 58 (9.7%) were unexpectedly readmitted to the ICU. The area under the receiver operating characteristic curve of NAS (0.78) was higher than that of the SWIFT score (0.68), and cutoff values were 21 for the SWIFT and 53 for the NAS. Multivariate analysis showed that the NAS was an independent predictor of unplanned ICU readmission. The NAS was superior to the SWIFT in predicting unplanned ICU readmission. NAS may be an adjunctive tool to predict unplanned ICU readmission.

Visitation restrictions for family members are problematic in intensive care management due to the COVID-19 pandemic. We analyzed the usefulness of an intensive care unit (ICU) diary about the experiences of family members of critical COVID-19 patients. Four family members of 2 COVID-19 patients participated in this report. Both patients were transferred to our ICU after 2 weeks of treatment at another ICU. An ICU diary was given to their family members post-transfer. The family members were interviewed before and after the patients’ discharge; the recorded interviews were analyzed and categorized into several clusters using a text mining method. Five categories regarding their anxious feelings were classified before the use of the ICU diary, and 3 categories were based on their positive feelings after the use of the ICU diary. Intensive care unit diaries may be beneficial for disclosing patients’ information when visitation restrictions are exercised due to the COVID-19 pandemic.