Dataset Information

Postintensive Care Syndrome-Family Associated With COVID-19 Infection.

ABSTRACT: To assess the prevalence of and risk factors for postintensive care syndrome in family (PICS-F) in the COVID-19 era.

Design

A single-center retrospective study using questionnaires and telephone calls.

Setting

An ICU at St. Luke's International Hospital.

Patients

Patients who were treated for COVID-19-related acute respiratory distress syndrome between March 23, 2020, and September 30, 2021, and their family members participated.

Interventions

None.

Measurements and main results

PICS-F refers to the psychologic distress such as anxiety, depression, and posttraumatic stress disorder (PTSD) experienced by the patient's family. The primary outcome was PICS-F occurrence. Furthermore, factors related to PICS-F development were identified using statistical analysis. Of 85 patients with COVID-19 who were admitted to the ICU, 57 family members consented to the study and completed the survey, and 54 family members' data were analyzed. The median age of family members was 53.5 years, 68.5% were female, and 46.3% were spouses. The median age of patients was 55.5 years, and 83.3% were male. During their ICU stay, 68.5% received invasive mechanical ventilation, 11.1% received venovenous extracorporeal membrane oxygenation, and 11.1% underwent tracheostomy. The median ICU and hospital stays were 7 and 22 days, respectively. Overall PICS-F occurred in 33%. Anxiety, depression, and PTSD occurred in 24%, 26%, and 4% of family members, respectively. The prevalence of all three components of PICS-F was 4%. Multivariable analysis showed that Family Satisfaction with the ICU Survey (FS-ICU) scores were independently associated with PICS-F development (odds ratio, 0.941; 95% CI, 0.891-0.983; p = 0.005).

Conclusions

One-third of family members of COVID-19 patients admitted to the ICU had symptoms of PICS-F. These results suggest that measurement of FS-ICU may be helpful as a predictor of PICS-F development. In addition, increasing the level of ICU care satisfaction of the family members may prevent PICS-F.

SUBMITTER: Shirasaki K

PROVIDER: S-EPMC9249265 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundFamily members of critically ill patients experience symptoms of postintensive care syndrome-family (PICS-F), including anxiety, depression, and posttraumatic stress disorder. Postintensive care syndrome-family reduces the quality of life of the families of critically ill patients and may impede the recovery of such patients. Cognitive behavioral therapy has become a first-line nonpharmacological treatment of many psychological symptoms and disorders, including anxiety, depression, and posttraumatic stress. With regard to managing mild-to-moderate symptoms, the delivery of cognitive behavioral therapy via mobile technology without input from a clinician has been found to be feasible and well accepted, and its efficacy rivals that of face-to-face therapy.ObjectiveThe purpose of our pilot study is to examine the efficacy of using a smartphone mobile health (mHealth) app to deliver cognitive behavioral therapy and diminish the severity and prevalence of PICS-F symptoms in family members of critically ill patients.MethodsFor our pilot study, 60 family members of critically ill patients will be recruited. A repeated-measures longitudinal study design that involves the randomization of participants to 2 groups (the control and intervention groups) will be used. The intervention group will receive cognitive behavioral therapy, which will be delivered via a smartphone mHealth app. Bandura's social cognitive theory and an emphasis on mental health self-efficacy form the theoretical framework of the study.ResultsRecruitment for the study began in August 2020. Data collection and analysis are expected to be completed by March 2022.ConclusionsThe proposed study represents a novel approach to the treatment of PICS-F symptoms and is an extension of previous work conducted by the research team. The study will be used to plan a fully powered randomized controlled trial.Trial registrationClinicalTrials.gov NCT04316767; https://clinicaltrials.gov/ct2/show/NCT04316767.International registered report identifier (irrid)DERR1-10.2196/30813.

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