Stroke Angel: Effect of Telemedical Prenotification on In-Hospital Delays and Systemic Thrombolysis in Acute Stroke Patients.

INTRODUCTION: Door-to-CT scan time (DCT) and door-to-needle time (DNT) are important process measures in acute ischemic stroke (AIS) patients undergoing intravenous thrombolysis (IVT). We examined the impact of a telemedical prenotification by emergency medical service (EMS) (called the "Stroke Angel" program) on DCT and DNT and IVT rate compared to standard of care. PATIENTS AND METHODS: Two prospective observational studies including AIS patients admitted via EMS from 2011 to 2013 (cohort I; n = 496) and from January 1, 2015 to May 31, 2018 (cohort II; n = 349) were conducted. After cohort I, the 4-Item Stroke Scale and a digital thrombolysis protocol were added. Multivariable logistic and linear regression analysis was performed. RESULTS: In cohort I, DCT was lower in the intervention group (13 vs. 26 min using standard of care; p < 0.001), but no significant difference in median DNT (35 vs. 39 min; p = 0.24) was observed. In cohort II, a reduction of DCT (8 vs. 15 min; p < 0.001) and DNT (25 vs. 29 min p = 0.003) was observed in the intervention group. Compared to standard of care, the likelihood of DCT ≤10 min or DNT ≤20 min in the intervention group was 2.7 (adjusted odds ratio [aOR] 2.7; 95% CI: 2.1-3.5) and 1.8 (aOR 1.8; 95% CI: 1.1-2.9), respectively. In cohort II, IVT rate was higher (aOR 1.4; 95% CI: 1.1-1.9) in the intervention group. CONCLUSION: Although the positive effects of Stroke Angel in AIS provided a rationale for implementation in routine care, larger studies of practice implementation will be needed. Using Stroke Angel in the prehospital management of AIS impacts on important process measures of IVT delivery.

Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types.

Background: Consumer activity monitors and smartphones have gained relevance for the assessment and promotion of physical activity. The aim of this study was to determine the concurrent validity of various consumer activity monitor models and smartphone models for measuring steps. Methods: Participants completed three activity protocols: (1) overground walking with three different speeds (comfortable, slow, fast), (2) activities of daily living (ADLs) focusing on arm movements, and (3) intermittent walking. Participants wore 11 activity monitors (wrist: 8; hip: 2; ankle: 1) and four smartphones (hip: 3; calf: 1). Observed steps served as the criterion measure. The mean average percentage error (MAPE) was calculated for each device and protocol. Results: Eighteen healthy adults participated in the study (age: 28.8 ± 4.9 years). MAPEs ranged from 0.3-38.2% during overground walking, 48.2-861.2% during ADLs, and 11.2-47.3% during intermittent walking. Wrist-worn activity monitors tended to misclassify arm movements as steps. Smartphone data collected at the hip, analyzed with a separate algorithm, performed either equally or even superiorly to the research-grade ActiGraph. Conclusion: This study highlights the potential of smartphones for physical activity measurement. Measurement inaccuracies during intermittent walking and arm movements should be considered when interpreting study results and choosing activity monitors for evaluation purposes.

Prehospital Telemedical Emergency Management of Severely Injured Trauma Patients.

BACKGROUND: Trauma is a global burden. Emergency medical services (EMS) provide care for individuals who have serious injuries or suffered a major trauma. OBJECTIVE: This paper provides a comprehensive overview of telemedicine applications in prehospital trauma care. METHODS: We conducted a systematic review according to PRISMA guidelines. We identified articles by electronic database search (PubMed, EMBASE, the Cochrane Library, CINAHL, SpringerLink, LIVIVO, DARE, IEEE Xplore, Google Scholar and ScienceDirect) using keywords related to prehospital settings, ambulance, telemedicine and trauma. Search terms and inclusion criteria were specified a priori by the PICOS template and revised throughout a configurative approach iteratively, to outline the complexity and variety of different telemedical concepts. RESULTS: A final sample of 15 records was systematically selected. Most interventions were piloted and/or evaluated in Germany for trauma victims in prehospital settings. Six studies were simulated scenarios. Telemedical assistance (TMA) via real-time telemetry systems (RTS), enabling video and audio conferencing between EMS by tele-emergency physicians (TEP) were associated with a higher treatment quality and a shorter time-to-treatment in invasive procedures. By initiating in-hospital preparations based on telemedical prehospital notification (TPN), loss of information during the clinical handover was reduced and in-hospital protocols were activated with high accuracy. Remotely guided ultrasound (Tele-Ultrasound) by TEP showed an overall high diagnostic accuracy in simulations. Technical solutions were reliable, seemed practical and auspicious. CONCLUSION: The review indicates that TMA and TPN are accompanying telemedical concepts in out-of-hospital trauma care. Well-designed populated studies are needed to fully assess the effect of telemedicine in acute trauma care. Therefore, evidence regarding the effectiveness of telemedicine in prehospital setting for trauma patients is still limited.

Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study).

BACKGROUND: Limitations in physical activity are considered as a key problem in patients with multiple sclerosis (PwMS). Contemporary methods to assess the level of physical activity in PwMS are regular clinical observation. However, these methods either rely on high recall and accurate reporting from the patients (e.g. self-report questionnaires), or they are conducted during a particular clinical assessment with predefined activities. Therefore, the main aim of this pilot study was to develop an objective method to gather information about the real type and intensity of daily activities performed by PwMS in every-day living situations using an accelerometer. Furthermore, the accelerometer-derived measures are investigated regarding their potential for discriminating between different MS groups. METHODS: Eleven PwMS that were able to walk independently (EDSS ≤ 5) were divided into two groups: mild disability (EDSS 1-2.5; n = 6) and moderate disability (EDSS 3 -5; n = 5). Participants made use of an activity monitor device attached to their waist during their normal daily activities over 4 measurements. Activity parameters were assessed and compared for the time of each participant's first measurement and follow-up measurement. Furthermore, differences between both subgroups, and the correlation of activity parameters with the clinical neurological variable (EDSS) were investigated. RESULTS: Participants showed significant decline in step count (p = 0.008), maximum walking speed (p = 0.02) and physical activity intensity (p = 0.03) throughout the study period. Compared to the mild subgroup, moderate affected participant accumulated less number of steps (G1: 9214.33 ± 2439.11, G2: 5018.13 ± 2416.96; p < 0.005) and were slower (G1: 1.48 ± 0.19, G2: 1.12 ± 0.44; p = 0.03). Additionally, the EDSS correlated negatively with mean walking speed (r = - 0.71, p = 0.01) and steps count (r = - 0.54, p = 0.08). CONCLUSIONS: In this study, we used a portable activity monitoring sensor to gather information about everyday physical activity in PwMS at home. We showed that objective measurements using simple 3D accelerometers can track daily physical activity fluctuation. Furthermore, they track disability changes better than clinical measures. Thus, they can help to develop activity based treatments for PwMS.

Classification of human physical activity and energy expenditure estimation by accelerometry and barometry.

Regular exercise and physical activity are among the most important factors influencing the quality of life and make a significant contribution to the maintenance of health and well-being. The assessment of physical activity via accelerometry has become a promising technique often used as means to objectively measure physical activity. This work proposes a simple and reliable method to assess human physical activity and calculate the energy expenditure (EE) by using an acceleration and an air pressure sensor. Our proposed algorithm differentiates between 7 activities with an average accuracy of 98.2% and estimates the second by second EE with an average percent error of 1.59 ± 8.20% using a single measurement unit attached to the subject's hip.