Knowledge and preferences regarding cardiopulmonary resuscitation:A survey among older patients

Objective: Survival rates following cardiopulmonary resuscitation (CPR) are low for older people, and are associated with a high risk of neurological damage. This study investigated the relationship between the preferences, knowledge of survival chances, and characteristics among older people regarding CPR.Methods: A cross-sectional, self-administrated survey was distributed by researchers to 600 patients aged at least 50 years. The 14-question survey tool was used to collect basic demographic data, knowledge about CPR, and preference for CPR. We performed binary logistic regression analysis to predict whether patients wanted to receive CPR or not.Results: The response rate was 48%. Most respondents (84%) predicted the estimated survival rate to be higher than the actual rate. Patients were significantly less likely to want to receive CPR if they correctly estimated the survival rate, had ever contemplated CPR, were older, or female. Discussing CPR with a doctor had no influence on patient preference for CPR.Conclusion: Older patients choose to receive CPR based on incorrect knowledge.Practice implications: Doctors should be aware of the impact of knowing the true chances of survival on patient preference for CPR. Knowledge and skills need to be updated to provide this information to patients. (C) 2015 Elsevier Ireland Ltd. All rights reserved.</p

Wearable-Measured Sleep and Resting Heart Rate Variability as an Outcome of and Predictor for Subjective Stress Measures: A Multiple N-of-1 Observational Study

The effects of stress may be alleviated when its impact or a decreased stress-resilience are detected early. This study explores whether wearable-measured sleep and resting HRV in police officers can be predicted by stress-related Ecological Momentary Assessment (EMA) measures in preceding days and predict stress-related EMA outcomes in subsequent days. Eight police officers used an Oura ring to collect daily Total Sleep Time (TST) and resting Heart Rate Variability (HRV) and an EMA app for measuring demands, stress, mental exhaustion, and vigor during 15&ndash;55 weeks. Vector Autoregression (VAR) models were created and complemented by Granger causation tests and Impulse Response Function visualizations. Demands negatively predicted TST and HRV in one participant. TST negatively predicted demands, stress, and mental exhaustion in two, three, and five participants, respectively, and positively predicted vigor in five participants. HRV negatively predicted demands in two participants, and stress and mental exhaustion in one participant. Changes in HRV lasted longer than those in TST. Bidirectional associations of TST and resting HRV with stress-related outcomes were observed at a weak-to-moderate strength, but not consistently across participants. TST and resting HRV are more consistent predictors of stress-resilience in upcoming days than indicators of stress-related measures in prior days