Perceived Barriers to Patient Mobilization Among Therapy and Nursing Acute Care Staff: A Multi-Site Survey Study.

OBJECTIVE: To identify differences in perceived barriers to patient mobilization in acute care among therapy and nursing clinicians, and among hospitals of different sizes and types. DESIGN: Cross-sectional survey study. SETTING: Eight hospitals of various sizes and types (teaching vs non-teaching; urban vs rural), from 2 different states in the Western region of the United States. PARTICIPANTS: A nonprobability sample of 568 acute care clinicians (N=586) involved in direct patient care were surveyed. Clinicians indicated a clinical role within the branch of therapy (physical therapy or occupational therapy) or nursing (registered nurse or nurse assistant). MAIN OUTCOME MEASURES: The Patient Mobilization Attitudes and Beliefs Survey (PMABS) was used to assess perceived barriers to early patient mobilization among therapy and nursing staff. A PMABS total score and 3 subscale scores (knowledge, attitudes, or behaviors associated with barriers to mobilization) were calculated, with higher scores indicative of greater mobilization barriers. RESULTS: Mean PMABS total scores were significantly lower (better) for therapy providers (24.63±6.67) than nursing providers (38.12±10.95), P<.001. Additionally, therapy providers had significantly lower scores than nursing providers on all 3 subscales (all P<.001). Item-specific analyses revealed significant differences in responses between therapy and nursing staff on 22 of 25 items, with nursing staff indicating greater perceptions of barriers than therapy staff on 20 of the 22 items. The top 5 items with the largest response differences between therapy and nursing clinicians included adequate time to mobilize patients, understanding appropriate referral to therapy staff, knowledge on when it is safe to mobilize patients, confidence in the ability to mobilize patients, and receiving training on methods of safe mobilization. While hospital type did not affect perceived barriers to early mobilization, PMABS scores were significantly higher for large and small hospitals when compared to medium-sized hospitals. CONCLUSION: Perceived barriers to patient mobilization exist among therapy and nursing acute care clinicians, with greater barriers noted among nursing staff for knowledge, attitudes, and behaviors associated with patient mobility practices. Findings suggest future work is warranted, with opportunities for therapy providers to collaborate with nursing providers to address barriers to implementing patient mobility.

Circulating Exosomal miRNAs Signal Circadian Misalignment to Peripheral Metabolic Tissues.

Night shift work increases risk of metabolic disorders, particularly obesity and insulin resistance. While the underlying mechanisms are unknown, evidence points to misalignment of peripheral oscillators causing metabolic disturbances. A pathway conveying such misalignment may involve exosome-based intercellular communication. Fourteen volunteers were assigned to a simulated day shift (DS) or night shift (NS) condition. After 3 days on the simulated shift schedule, blood samples were collected during a 24-h constant routine protocol. Exosomes were isolated from the plasma samples from each of the blood draws. Exosomes were added to naïve differentiated adipocytes, and insulin-induced pAkt/Akt expression changes were assessed. ChIP-Seq analyses for BMAL1 protein, mRNA microarrays and exosomal miRNA arrays combined with bioinformatics and functional effects of agomirs and antagomirs targeting miRNAs in NS and DS exosomal cargo were examined. Human adipocytes treated with exosomes from the NS condition showed altered Akt phosphorylation responses to insulin in comparison to those treated with exosomes from the DS condition. BMAL1 ChIP-Seq of exosome-treated adipocytes showed 42,037 binding sites in the DS condition and 5538 sites in the NS condition, with a large proportion of BMAL1 targets including genes encoding for metabolic regulators. A significant and restricted miRNA exosomal signature emerged after exposure to the NS condition. Among the exosomal miRNAs regulated differentially after 3 days of simulated NS versus DS, proof-of-concept validation of circadian misalignment signaling was demonstrated with hsa-mir-3614-5p. Exosomes from the NS condition markedly altered expression of key genes related to circadian rhythm in several cultured cell types, including adipocytes, myocytes, and hepatocytes, along with significant changes in 29 genes and downstream gene network interactions. Our results indicate that a simulated NS schedule leads to changes in exosomal cargo in the circulation. These changes promote reduction of insulin sensitivity of adipocytes in vitro and alter the expression of core clock genes in peripheral tissues. Circulating exosomal miRNAs may play an important role in metabolic dysfunction in NS workers by serving as messengers of circadian misalignment to peripheral tissues.

Distinct circadian mechanisms govern cardiac rhythms and susceptibility to arrhythmia.

Electrical activity in the heart exhibits 24-hour rhythmicity, and potentially fatal arrhythmias are more likely to occur at specific times of day. Here, we demonstrate that circadian clocks within the brain and heart set daily rhythms in sinoatrial (SA) and atrioventricular (AV) node activity, and impose a time-of-day dependent susceptibility to ventricular arrhythmia. Critically, the balance of circadian inputs from the autonomic nervous system and cardiomyocyte clock to the SA and AV nodes differ, and this renders the cardiac conduction system sensitive to decoupling during abrupt shifts in behavioural routine and sleep-wake timing. Our findings reveal a functional segregation of circadian control across the heart's conduction system and inherent susceptibility to arrhythmia.

Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations.

Wearable sensor-based devices are increasingly applied in free-living and clinical settings to collect fine-grained, objective data about activity and sleep behavior. The manufacturers of these devices provide proprietary software that labels the sensor data at specified time intervals with activity and sleep information. If the device wearer has a health condition affecting their movement, such as a stroke, these labels and their values can vary greatly from manufacturer to manufacturer. Consequently, generating outcome predictions based on data collected from patients attending inpatient rehabilitation wearing different sensor devices can be challenging, which hampers usefulness of these data for patient care decisions. In this article, we present a data-driven approach to combining datasets collected from different device manufacturers. With the ability to combine datasets, we merge data from three different device manufacturers to form a larger dataset of time series data collected from 44 patients receiving inpatient therapy services. To gain insights into the recovery process, we use this dataset to build models that predict a patient's next day physical activity duration and next night sleep duration. Using our data-driven approach and the combined dataset, we obtained a normalized root mean square error prediction of 9.11% for daytime physical activity and 11.18% for nighttime sleep duration. Our sleep result is comparable to the accuracy we achieved using the manufacturer's sleep labels (12.26%). Our device-independent predictions are suitable for both point-of-care and remote monitoring applications to provide information to clinicians for customizing therapy services and potentially decreasing recovery time.

Cardiac autonomic activity during sleep deprivation with and without caffeine administration.

Caffeine is often consumed to mitigate degraded alertness associated with sleep deprivation. Both caffeine and sleep deprivation have been implicated in cardiovascular disease, but evidence is largely anecdotal. We determined the effects of sleep deprivation and caffeine on markers of cardiac autonomic activity. Twelve healthy young adults completed an 18-day laboratory study. They were exposed to three 48 h sessions of acute total sleep deprivation (TSD), each separated by three recovery days. In randomized, counter-balanced order, subjects received 0 mg (placebo), 200 mg, or 300 mg of caffeine at 12 h intervals during each sleep deprivation session. Every 2 h during scheduled wakefulness, a 15-minute neurobehavioral task battery was administered, during which heart rate (HR) and the high frequency (HF) component of the HR variability power spectrum (HF-HRV) were measured. Caffeine administration decreased HR and increased HF-HRV, indicating elevated parasympathetic activity. The 300 mg caffeine dose did not significantly affect autonomic activity to a greater extent than the 200 mg dose. There was no significant effect of 48 h of TSD on HR, whereas there was a small increase across hours awake in HF-HRV. There was no significant interaction of TSD with caffeine. Circadian rhythmicity in HR and HF-HRV surpassed the magnitude of the effects of caffeine and TSD. Caffeine and acute TSD thus produced only modest changes in cardiac autonomic activity, unlikely to have immediate clinical implications in healthy young adults. However, further research is needed to determine the long-term effects of chronic exposure to sleep loss and/or caffeine on cardiac health, and to determine the generalizability of our findings to non-healthy populations.