Noise in the intensive care unit and its influence on sleep quality: a multicenter observational study in Dutch intensive care units.

BACKGROUND: High noise levels in the intensive care unit (ICU) are a well-known problem. Little is known about the effect of noise on sleep quality in ICU patients. The study aim is to determine the effect of noise on subjective sleep quality. METHODS: This was a multicenter observational study in six Dutch ICUs. Noise recording equipment was installed in 2-4 rooms per ICU. Adult patients were eligible for the study 48 h after ICU admission and were followed up to maximum of five nights in the ICU. Exclusion criteria were presence of delirium and/or inability to be assessed for sleep quality. Sleep was evaluated using the Richards Campbell Sleep Questionnaire (range 0-100 mm). Noise recordings were used for analysis of various auditory parameters, including the number and duration of restorative periods. Hierarchical mixed model regression analysis was used to determine associations between noise and sleep. RESULTS: In total, 64 patients (68% male), mean age 63.9 (± 11.7) years and mean Acute Physiology And Chronic Health Evaluation (APACHE) II score 21.1 (± 7.1) were included. Average sleep quality score was 56 ± 24 mm. The mean of the 24-h average sound pressure levels (LAeq, 24h) was 54.0 dBA (± 2.4). Mixed-effects regression analyses showed that background noise (ß = - 0.51, p < 0.05) had a negative impact on sleep quality, whereas number of restorative periods (ß = 0.53, p < 0.01) and female sex (ß = 1.25, p < 0.01) were weakly but significantly correlated with sleep. CONCLUSIONS: Noise levels are negatively associated and restorative periods and female gender are positively associated with subjective sleep quality in ICU patients. TRIAL REGISTRATION: www.ClinicalTrials.gov, NCT01826799 . Registered on 9 April 2013.

Telemedicine in a Dutch intensive care unit: A descriptive study of the first results.

INTRODUCTION: Tele-intensive care (teleIC) can be used to increase the level of care in the intensive care unit (ICU) with the tele-intensivist being at a remote site. In this study we describe the implementation and outcomes, including patient and family satisfaction, of the first Dutch teleIC. METHODS: In a retrospective analysis the patient characteristics are described with a focus on patient outcomes and patient and family satisfaction. The teleIC started on 6 December 2010 in an ICU with three beds. Data for all admitted patients were collected from 1 January 2011 through 31 December 2013 from available systems. Severity of disease (APACHE IV) and standardized mortality ratios (SMR) were available over the complete calendar years 2012 and 2013. A prospective self-made survey of patient and family satisfaction was performed over a 14-month period after the implementation of teleIC. RESULTS: In 2012 and 2013, 556 patients were admitted. The number of operating room recovery patients in the ICU declined over time. One hundred and seven patients were transferred to a higher-level ICU (19%). The SMR for non-transferred patients was 0.73 (95% CI (confidence interval) 0.54-0.98) and 0.66 (95% CI (confidence interval) 0.40-1.02) for transferred patients. These numbers are in line with national data. Thirty-six percent of family and 38% of the patients responded to the survey and showed a positive response concerning communication within the tele IC setting. CONCLUSION: Implementation of teleIC in a Dutch situation was successful and showed favourable results in patient outcomes and the satisfaction of patients and family members.