Internet health information use by surrogate decision makers of patients admitted to the intensive care unit: a multicentre survey.

OBJECTIVES: To investigate the use, understanding, trust and influence of the internet and other sources of health information used by the next of kin (NOK) of patients admitted to the intensive care unit (ICU). DESIGN: Multicentre structured survey. SETTING: The ICUs of 13 public and private Australian hospitals. PARTICIPANTS: NOK who self-identified as the primary surrogate decision maker for a patient admitted to the ICU. MAIN OUTCOME MEASURES: The frequency, understanding, trust and influence of online sources of health information, and the quality of health websites visited using the Health on the Net Foundation Code of Conduct (HONcode) for medical and health websites. RESULTS: There were 473 survey responses. The median ICU admission days and number of ICU visits by the NOK at the time of completing the survey was 3 (IQR, 2-6 days) and 4 (IQR, 2-7), respectively. The most commonly reported sources of health information used very frequently were the ICU nurse (55.6%), ICU doctor (38.7%), family (23.3%), hospital doctor (21.4%), and the internet (11.3%). Compared with the 243 NOK (51.6%) not using the internet, NOK using the internet were less likely to report complete understanding (odds ratio [OR], 0.57; 95% CI, 0.38-0.88), trust (OR, 0.34; 95% CI, 0.19-0.59), or influence (OR, 0.58; 95% CI, 0.38-0.88) associated with the ICU doctor. Overall, the quality of the 40 different reported websites accessed was moderately high. CONCLUSIONS: A substantial proportion of ICU NOK report using the internet as a source of health information. Internet use is associated with lower reported understanding, trust and influence of the ICU doctor.

Investigating the application of motion accelerometers as a sleep monitoring technique and the clinical burden of the intensive care environment on sleep quality: study protocol for a prospective observational study in Australia.

INTRODUCTION: Sleep is a state of quiescence that facilitates the significant restorative processes that enhance individuals' physiological and psychological well-being. Patients admitted to the intensive care unit (ICU) experience substantial sleep disturbance. Despite the biological importance of sleep, sleep monitoring does not form part of standard clinical care for critically ill patients. There exists an unmet need to assess the feasibility and accuracy of a range of sleep assessment techniques that have the potential to allow widespread implementation of sleep monitoring in the ICU. KEY MEASURES: The coprimary outcome measures of this study are to: determine the accuracy and feasibility of motion accelerometer monitoring (ie, actigraphy) and subjective assessments of sleep (nursing-based observations and patient self-reports) to the gold standard of sleep monitoring (ie, polysomnography) in evaluating sleep continuity and disturbance. The secondary outcome measures of the study will include: (1) the association between sleep disturbance and environmental factors (eg, noise, light and clinical interactions) and (2) to describe the sleep architecture of intensive care patients. METHODS AND ANALYSIS: A prospective, single centre observational design with a within subjects' assessment of sleep monitoring techniques. The sample will comprise 80 adults (aged 18 years or more) inclusive of ventilated and non-ventilated patients, admitted to a tertiary ICU with a Richmond Agitation-Sedation Scale score between +2 (agitated) and -3 (moderate sedation) and an anticipated length of stay >24 hours. Patients' sleep quality, total sleep time and sleep fragmentations will be continuously monitored for 24 hours using polysomnography and actigraphy. Behavioural assessments (nursing observations) and patients' self-reports of sleep quality will be assessed during the 24-hour period using the Richards-Campbell Sleep Questionnaire, subjective sleepiness evaluated via the Karolinska Sleepiness Scale, along with a prehospital discharge survey regarding patients' perception of sleep quality and disturbing factors using the Little Sleep Questionnaire will be undertaken. Associations between sleep disturbance, noise and light levels, and the frequency of clinical interactions will also be investigated. Sound and luminance levels will be recorded at 1 s epochs via Extech SDL600 and SDL400 monitoring devices. Clinical interactions will be logged via the electronic patient record system Metavision which documents patient monitoring and clinical care. ETHICS AND DISSEMINATION: The relevant institutions have approved the study protocol and consent procedures. The findings of the study will contribute to the understanding of sleep disturbance, and the ability to implement sleep monitoring methods within ICUs. Understanding the contribution of a clinical environment on sleep disturbance may provide insight into the need to address clinical environmental issues that may positively influence patient outcomes, and could dispel notions that the environment is a primary factor in sleep disturbance. The research findings will be disseminated via presentations at national and international conferences, proceedings and published articles in peer-reviewed journals. TRIAL REGISTRATION NUMBER: ACTRN12615000945527; Pre-results.

Very old patients urgently referred to the intensive care unit: long-term outcomes for admitted and declined patients.

BACKGROUND: Outcomes for very old patients (≥ 80 years) referred but not admitted to an intensive care unit have not been described in Australia and New Zealand. OBJECTIVE: To ascertain long-term (12-month) outcomes for very old patients urgently referred for ICU support at a tertiary referral hospital. DESIGN, SETTING AND PATIENTS: A retrospective, medical record review of 1240 very old patients (≥ 80 years) who were urgently referred to an Australian, 31-bed ICU over a 40-month period from March 2011 to August 2014. Referrals were divided into those who were "too well" for the ICU, admitted to the ICU, and "too sick" for the ICU. Data and main outcome measures: Data were extracted from hospital records, the ICU patient database and the Australian Institute of Health and Welfare National Death Index, and our main outcome measures were health status and destination at hospital discharge, and 12-month mortality rates. RESULTS: Urgent admissions of very old patients accounted for 6.9% of total ICU admissions (443/6415). The hospital mortality rate was 16.0% (93/583) for patients who were too well, 32.1% (142/443) for those admitted to the ICU, and 69.2% (148/214) for those too sick (P ≥ 0.001). Mortality rates 12 months after referral were 40.8% (238/583), 46.0% (204/443) and 88.3% (189/214), respectively (P ≥ 0.001). CONCLUSION: Very old patients considered too well for the ICU have a significantly lower hospital mortality rate than those admitted to the ICU after urgent referral. However, 12 months after referral, patients considered too well for ICU admission have a mortality rate approaching that of very old patients admitted to the ICU. Over half of very old patients urgently referred to the ICU die within 12 months.