Sound and light levels in intensive care units in a large urban hospital in the United States.

Autor: Leone MJ; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Dashti HS; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.; Brain Data Science Platform, Broad Institute, Cambridge, Massachusetts, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA., Coughlin B; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA., Tesh RA; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Quadri SA; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Bucklin AA; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Adra N; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Krishnamurthy PV; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Ye EM; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Hemmige A; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Rajan S; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Panneerselvam E; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Higgins J; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Ayub MA; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.; Division of Pulmonary and Critical Care, Department of Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, USA., Ganglberger W; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.; Sleep & Health Zurich, University of Zurich, Zurich, Switzerland.; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA., Paixao L; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.; Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA., Houle TT; Sleep & Health Zurich, University of Zurich, Zurich, Switzerland.; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA., Thompson BT; Division of Pulmonary and Critical Care, Department of Medicine, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, USA., Johnson-Akeju O; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA., Saxena R; Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.; Brain Data Science Platform, Broad Institute, Cambridge, Massachusetts, USA.; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA., Kimchi E; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA., Cash SS; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA., Thomas RJ; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.; Department of Medicine, Division of Pulmonary, Critical Care & Sleep, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA., Westover MB; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.; Clinical Data Animation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jazyk: angličtina
Zdroj: Chronobiology international [Chronobiol Int] 2023 Jun 03; Vol. 40 (6), pp. 759-768. Date of Electronic Publication: 2023 May 05.
DOI: 10.1080/07420528.2023.2207647
Abstrakt: Intensive care units (ICUs) may disrupt sleep. Quantitative ICU studies of concurrent and continuous sound and light levels and timings remain sparse in part due to the lack of ICU equipment that monitors sound and light. Here, we describe sound and light levels across three adult ICUs in a large urban United States tertiary care hospital using a novel sensor. The novel sound and light sensor is composed of a Gravity Sound Level Meter for sound level measurements and an Adafruit TSL2561 digital luminosity sensor for light levels. Sound and light levels were continuously monitored in the room of 136 patients (mean age = 67.0 (8.7) years, 44.9% female) enrolled in the Investigation of Sleep in the Intensive Care Unit study (ICU-SLEEP; Clinicaltrials.gov: #NCT03355053), at the Massachusetts General Hospital. The hours of available sound and light data ranged from 24.0 to 72.2 hours. Average sound and light levels oscillated throughout the day and night. On average, the loudest hour was 17:00 and the quietest hour was 02:00. Average light levels were brightest at 09:00 and dimmest at 04:00. For all participants, average nightly sound levels exceeded the WHO guideline of < 35 decibels. Similarly, mean nightly light levels varied across participants (minimum: 1.00 lux, maximum: 577.05 lux). Sound and light events were more frequent between 08:00 and 20:00 than between 20:00 and 08:00 and were largely similar on weekdays and weekend days. Peaks in distinct alarm frequencies (Alarm 1) occurred at 01:00, 06:00, and at 20:00. Alarms at other frequencies (Alarm 2) were relatively consistent throughout the day and night, with a small peak at 20:00. In conclusion, we present a sound and light data collection method and results from a cohort of critically ill patients, demonstrating excess sound and light levels across multiple ICUs in a large tertiary care hospital in the United States. ClinicalTrials.gov, #NCT03355053. Registered 28 November 2017, https://clinicaltrials.gov/ct2/show/NCT03355053.
Databáze: MEDLINE