Assessment of continuous acoustic respiratory rate monitoring as an addition to a pulse oximetry-based patient surveillance system

Technology advances make it possible to consider continuous acoustic respiratory rate monitoring as an integral component of physiologic surveillance systems. This study explores technical and logistical aspects of augmenting pulse oximetry-based patient surveillance systems with continuous respiratory rate monitoring and offers some insight into the impact on patient deterioration detection that may result. Acoustic respiratory rate sensors were introduced to a general care pulse oximetry-based surveillance system with respiratory rate alarms deactivated. Simulation was used after 4324 patient days to determine appropriate alarm thresholds for respiratory rate, which were then activated. Data were collected for an additional 4382 patient days. Physiologic parameters, alarm data, sensor utilization and patient/staff feedback were collected throughout the study and analyzed. No notable technical or workflow issues were observed. Sensor utilization was 57 %, with patient refusal leading reasons for nonuse (22.7 %). With respiratory rate alarm thresholds set to 6 and 40 breaths/min., the majority of nurse pager clinical notifications were triggered by low oxygen saturation values (43 %), followed by low respiratory rate values (21 %) and low pulse rate values (13 %). Mean respiratory rate collected was 16.6 ± 3.8 breaths/min. The vast majority (82 %) of low oxygen saturation states coincided with normal respiration rates of 12–20 breaths/min. Continuous respiratory rate monitoring can be successfully added to a pulse oximetry-based surveillance system without significant technical, logistical or workflow issues and is moderately well-tolerated by patients. Respiratory rate sensor alarms did not significantly impact overall system alarm burden. Respiratory rate and oxygen saturation distributions suggest adding continuous respiratory rate monitoring to a pulse oximetry-based surveillance system may not significantly improve patient deterioration detection.     

Healthcare provider perceptions of the role of interprofessional care in access to and outcomes of primary care in an underserved area

To meet the needs of an aging population who often have multiple chronic conditions, interprofessional care is increasingly adopted by patient-centred medical homes and Accountable Care Organisations to improve patient care coordination and decrease costs in the United States, especially in underserved areas with primary care workforce shortages. In this cross-sectional survey across multiple clinical settings in an underserved area, healthcare providers perceived overall outcomes associated with interprofessional care teams as positive. This included healthcare providers’ beliefs that interprofessional care teams improved patient outcomes, increased clinic efficiency, and enhanced care coordination and patient follow-up. Teams with primary care physician available each day were perceived as better able to coordinate care and follow up with patients (p = .031), while teams that included clinical pharmacists were perceived as preventing medication-associated problems (p < .0001). Healthcare providers perceived the interprofessional care model as a useful strategy to improve various outcomes across different clinical settings in the context of a shortage of primary care physicians.     

Sensor fusion methods for reducing false alarms in heart rate monitoring

Automatic patient monitoring is an essential resource in hospitals for good health care management. While alarms caused by abnormal physiological conditions are important for the delivery of fast treatment, they can be also a source of unnecessary noise because of false alarms caused by electromagnetic interference or motion artifacts. One significant source of false alarms is related to heart rate, which is triggered when the heart rhythm of the patient is too fast or too slow. In this work, the fusion of different physiological sensors is explored in order to create a robust heart rate estimation. A set of algorithms using heart rate variability index, Bayesian inference, neural networks, fuzzy logic and majority voting is proposed to fuse the information from the electrocardiogram, arterial blood pressure and photoplethysmogram. Three kinds of information are extracted from each source, namely, heart rate variability, the heart rate difference between sensors and the spectral analysis of low and high noise of each sensor. This information is used as input to the algorithms. Twenty recordings selected from the MIMIC database were used to validate the system. The results showed that neural networks fusion had the best false alarm reduction of 92.5 %, while the Bayesian technique had a reduction of 84.3 %, fuzzy logic 80.6 %, majority voter 72.5 % and the heart rate variability index 67.5 %. Therefore, the proposed algorithms showed good performance and could be useful in bedside monitors.     

Implementing Routine Palliative Care Consultation Before LVAD Implantation: A Single Center Experience

Context

Left ventricular assist devices (LVADs) are increasingly used to improve quality of life for end-stage heart failure patients. The Joint Commission now requires preimplantation palliative care assessment; however, many palliative care teams have little experience providing this service.

Alarm limit settings for early warning systems to identify at-risk patients

Title.  Alarm limit settings for early warning systems to identify at-risk patients.
Aim.  This paper is a report of a study conducted to provide objective data to assist with setting alarm limits for early warning systems.
Background.  Early warning systems are used to provide timely detection of patient deterioration outside of critical care areas, but with little data from the general ward population to guide alarm limit settings. Monitoring systems used in critical care areas are known for excellent sensitivity in detecting signs of deterioration, but give high false positive alarm rates, which are managed with nurses caring for two or fewer patients. On general wards, nurses caring for four or more patients will be unable to manage a high number of false alarms. Physiological data from a general ward population would help to guide alarm limit settings.
Methods.  A dataset of continuous heart rate and respiratory rate data from a general ward population, previously collected from July 2003–January 2006, was analyzed for adult patients with no severe adverse events. Dataset modeling was constructed to analyze alarm frequency at varying heart rate and respiratory rate alarm limits.
Results.  A total of 317 patients satisfied the inclusion criteria, with 780·71 days of total monitoring. Sample alarm settings appeared to optimize false positive alarm rates for the following settings: heart rate high 130–135, low 40–45; respiratory rate high 30–35, low 7–8. Rates for each selected limit can be added to calculate the total alarm frequency, which can be used to judge the impact on nurse workflow.
Conclusion.  Alarm frequency data will assist with evidence-based configuration of alarm limits for early warning systems.     

The Problem of Alarm Fatigue

Up to 99 percent of alarms sounding on hospital units are false alarms signaling no real danger to patients. These false alarms can lead to alarm fatigue and alarm burden, and may divert health care providers’ attention away from significant alarms heralding actual or impending harm. As the health care environment continues to become more dependent upon technological monitoring devices used for patient care, nurses must become aware of the possibility and consequences of alarm fatigue and ways to prevent it from negatively affecting their practice, as well as the possible consequences for patient care.     

Aggregate National Early Warning Score (NEWS) values are more important than high scores for a single vital signs parameter for discriminating the risk of adverse outcomes

IntroductionThe Royal College of Physicians (RCPL) National Early Warning Score (NEWS) escalates care to a doctor at NEWS values of ≥5 and when the score for any single vital sign is 3.MethodsWe calculated the 24-h risk of serious clinical outcomes for vital signs observation sets with NEWS values of 3, 4 and 5, separately determining risks when the score did/did not include a single score of 3. We compared workloads generated by the RCPL's escalation protocol and for aggregate NEWS value alone.ResultsAggregate NEWS values of 3 or 4 (n = 142,282) formed 15.1% of all vital signs sets measured; those containing a single vital sign scoring 3 (n = 36,207) constituted 3.8% of all sets. Aggregate NEWS values of either 3 or 4 with a component score of 3 have significantly lower risks (OR: 0.26 and 0.53) than an aggregate value of 5 (OR: 1.0). Escalating care to a doctor when any single component of NEWS scores 3 compared to when aggregate NEWS values ≥5, would have increased doctors’ workload by 40% with only a small increase in detected adverse outcomes from 2.99 to 3.08 per day (a 3% improvement in detection).ConclusionsThe recommended NEWS escalation protocol produces additional work for the bedside nurse and responding doctor, disproportionate to a modest benefit in increased detection of adverse outcomes. It may have significant ramifications for efficient staff resource allocation, distort patient safety focus and risk alarm fatigue. Our findings suggest that the RCPL escalation guidance warrants review.     

Individual versus interprofessional team performance in formulating care transition plans: A randomised study of trainees from five professional groups

Health professions trainees’ performance in teams is rarely evaluated, but increasingly important as the healthcare delivery systems in which they will practice move towards team-based care. Effective management of care transitions is an important aspect of interprofessional teamwork. This mixed-methods study used a crossover design to randomise health professions trainees to work as individuals and as teams to formulate written care transition plans. Experienced external raters assessed the quality of the written care transition plans as well as both the quality of team process and overall team performance. Written care transition plan quality did not vary between individuals and teams (21.8 vs. 24.4, respectively, p = 0.42). The quality of team process did not correlate with the quality of the team-generated written care transition plans (r = ?0.172, p = 0.659). However, there was a significant correlation between the quality of team process and overall team performance (r = 0.692, p = 0.039). Teams with highly engaged recorders, performing an internal team debrief, had higher-quality care transition plans. These results suggest that high-quality interprofessional care transition plans may require advance instruction as well as teamwork in finalising the plan.     

Determination of saturation,heart rate,and respiratory rate at forearm using a Nellcor™ forehead SpO<Subscript>2</Subscript>-saturation sensor

Alterations in arterial blood oxygen saturation, heart rate (HR), and respiratory rate (RR) are strongly associated with intra-hospital cardiac arrests and resuscitations. A wireless, easy-to-use, and comfortable method for monitoring these important clinical signs would be highly useful. We investigated whether the Nellcor? OxiMask MAX-FAST forehead sensor could provide data for vital sign measurements when located at the distal forearm instead of its intended location at the forehead to provide improved comfortability and easy placement. In a prospective setting, we recruited 30 patients undergoing surgery requiring postoperative care. At the postoperative care unit, patients were monitored for two hours using a standard patient monitor and with a study device equipped with a Nellcor? Forehead SpO₂ sensor. The readings were electronically recorded and compared in post hoc analysis using Bland–Altman plots, Spearman’s correlation, and root-mean-square error (RMSE). Bland–Altman plot showed that saturation (SpO₂) differed by a mean of ?0.2 % points (SD, 4.6), with a patient-weighted Spearman’s correlation (r) of 0.142, and an RMSE of 4.2 points. For HR measurements, the mean difference was 0.6 bpm (SD, 2.5), r = 0.997, and RMSE = 1.8. For RR, the mean difference was ?0.5 1/min (4.1), r = 0.586, and RMSE = 4.0. The SpO₂ readings showed a low mean difference, but also a low correlation and high RMSE, indicating that the Nellcor? saturation sensor cannot reliably assess oxygen saturation at the forearm when compared to finger PPG measurements.     

Differences in Paramedic Fatigue before and after Changing from a 24-hour to an 8-hour Shift Schedule: A Case Report

Emergency medical services (EMS) clinicians often work 24-hour shifts. There is a growing body of literature, with an elevated level of concern among EMS leaders that longer shifts contribute to fatigued workers and negative safety outcomes. However, many questions remain about shift length, fatigue, and outcomes. We describe a case of a 26-year-old male paramedic who switched shift schedules during the midpoint of a randomized trial that addressed fatigue in EMS workers (clinicaltrials.gov identifier: NCT02063737). The participant (case) began the study working full-time with a critical care, advanced life support EMS system that utilized 24-hour shifts. He then transitioned to an EMS system that deploys workers on 8-hour shifts. Per protocol for the randomized trial, the participant completed a battery of sleep health and fatigue surveys at baseline and at the end of 90 days of study. He also reported perceived fatigue, sleepiness, and difficulty with concentration at the beginning, every 4 hours during, and at the end of scheduled shifts, for a total of ten 24-hour shifts and twenty-four 8-hour shifts. We discuss differences in measures taken before and after switching shift schedules, and highlight differences in fatigue, sleepiness, and difficulty with concentration taken at the end of all 34 scheduled shifts stratified by shift duration (24 hours versus 8 hours). Findings from this case report present a unique opportunity to 1) observe and analyze a phenomenon that has not been investigated in great detail in the EMS setting; and 2) address an issue of significance to employers and EMS clinicians alike.     

Preliminary investigation into sport and exercise psychology consultants’ views and experiences of an interprofessional care team approach to sport injury rehabilitation

Sport injury rehabilitation has moved from predominately physical treatment to a more holistic care. However, limited research has explored the views and experiences of those involved in such an approach. The purpose of this study was to preliminarily investigate sport psychology consultants’ (SPCs’) views and experiences of an interprofessional team approach to sport injury rehabilitation. A cross-sectional online survey previously used with athletic trainers was distributed via a US-based sport/exercise psychology list-serve (N = 1245). A total of 62 (27 men, 35 women, M age 38.2 years, age range: 22–73 years) participants with 10.6 (SD = 9.8) years of experience as an SPC were included in the final analyses. On average, SPCs felt that it was very important (M = 6.6; SD = 0.6) for athletes to have access to an interprofessional care team. Of the sample, 64.5% (n = 40) typically worked as part of an interprofessional care team 44.7% of the time. The SPCs (n = 28; 45.2%) also indicated that the primary treatment providers (e.g., athletic trainer, physical therapist) were typically serving as the primary point person for such teams. Since gaining entry to sport medicine can be an area SPCs struggle with, building effective working relationships with treatment providers can help promote and increase SPCs involvement in providing holistic, interprofessional care to athletes with injuries. To ensure athletes’ successful biopsychosocial return to sport, different individuals and professionals should work together for the benefit of the athlete by adopting holistic care during sports injury rehabilitation.     

Monitoring sleep depth: analysis of bispectral index (BIS) based on polysomnographic recordings and sleep deprivation

The assessment and management of sleep are increasingly recommended in the clinical practice. Polysomnography (PSG) is considered the gold standard test to monitor sleep objectively, but some practical and technical constraints exist due to environmental and patient considerations. Bispectral index (BIS) monitoring is commonly used in clinical practice for guiding anesthetic administration and provides an index based on relationships between EEG components. Due to similarities in EEG synchronization between anesthesia and sleep, several studies have assessed BIS as a sleep monitor with contradictory results. The aim of this study was to evaluate objectively both the feasibility and reliability of BIS for sleep monitoring through a robust methodology, which included full PSG recordings at a baseline situation and after 40 h of sleep deprivation. Results confirmed that the BIS index was highly correlated with the hypnogram (0.89 ± 0.02), showing a progressive decrease as sleep deepened, and an increase during REM sleep (awake: 91.77 ± 8.42; stage N1: 83.95 ± 11.05; stage N2: 71.71 ± 11.99; stage N3: 42.41 ± 9.14; REM: 80.11 ± 8.73). Mean and median BIS values were lower in the post-deprivation night than in the baseline night, showing statistical differences for the slow wave sleep (baseline: 42.41 ± 9.14 vs. post-deprivation: 39.49 ± 10.27; p = 0.02). BIS scores were able to discriminate properly between deep (N3) and light (N1, N2) sleep. BIS values during REM overlapped those of other sleep stages, although EMG activity provided by the BIS monitor could help to identify REM sleep if needed. In conclusion, BIS monitors could provide a useful measure of sleep depth in especially particular situations such as intensive care units, and they could be used as an alternative for sleep monitoring in order to reduce PSG-derived costs and to increase capacity in ambulatory care.     

Amantadine reduces persistent fatigue during post-acute withdrawal phase in methamphetamine abstained individuals: A randomized placebo-controlled trial

Background: Persistent fatigue is a common symptom of methamphetamine withdrawal. It disrupts the individual’s social and professional lives as well as increasing the risk of relapse. This study aimed to assess the effects of amantadine in the treatment of persistent fatigue in methamphetamine-abstained individuals.Methods: A double-blind, placebo-controlled trial was conducted on 42 methamphetamine-abstained individuals who sought treatment for persistent fatigue. Participants were randomly assigned to two groups, receiving either amantadine 100 mg/day or placebo for 4 weeks. Treatment response was evaluated using Fatigue Severity Scale (FSS) and Chalder Fatigue Scale (CFS), recorded at the beginning and end of trial.Results: A substantial reduction in both fatigue scales was found in the amantadine group, while there was no significant change in the placebo group. Fatigue reduction in the amantadine and placebo groups was, respectively, 28% versus 6% (p < 0.001) using the FSS and 24.3% and 4.5% (p < 0.001) using the CFS. In addition, both scales showed that the rate of fatigue recovery was significantly higher in the amantadine versus placebo group (p < 0.05).Conclusions: Persistent fatigue in methamphetamine-abstained individuals was significantly reduced, and higher rate of fatigue recovery achieved, from daily administration of 100 mg amantadine for 4 weeks.     

Medical Monitoring During Firefighter Incident Scene Rehabilitation

Objective: The objective of this study was to retrospectively investigate aspects of medical monitoring, including medical complaints, vital signs at entry, and vital sign recovery, in firefighters during rehabilitation following operational firefighting duties. Results: Incident scene rehabilitation logs obtained over a 5-year span that included 53 incidents, approximately 40 fire departments, and more than 530 firefighters were reviewed. Only 13 of 694 cases involved a firefighter reporting a medical complaint. In most cases, vital signs were similar between firefighters who registered a complaint and those who did not. On average, heart rate was 104 ± 23 beats·min^?1, systolic blood pressure was 132 ± 17 mmHg, diastolic blood pressure was 81 ± 12 mmHg, and respiratory rate was 19 ± 3 breaths·min^?1 upon entry into rehabilitation. At least two measurements of heart rate, systolic blood pressure, diastolic blood pressure, and respiratory rate were obtained for 365, 383, 376, and 160 cases, respectively. Heart rate, systolic and diastolic blood pressures, and respiratory rate decreased significantly (p < 0.001) during rehabilitation. Initial vital signs and changes in vital signs during recovery were highly variable. Conclusions: Data from this study indicated that most firefighters recovered from the physiological stress of firefighting without any medical complaint or symptoms. Furthermore, vital signs were within fire service suggested guidelines for release within 10 or 20 minutes of rehabilitation. The data suggested that vital signs of firefighters with medical symptoms were not significantly different from vital signs of firefighters who had an unremarkable recovery     

Fatigue in stroke rehabilitation patients: a pilot study

Background and Purpose. Stroke is the leading cause of adult disability. Rehabilitation is a vital component of post‐stroke care with two‐thirds of survivors requiring rehabilitation. Fatigue is a common issue affecting stroke patients and is a barrier to rehabilitation causing inefficient care provision and potential limitation to patient recovery. No study to date has investigated whether the experience of fatigue is different between the two main causes of ischemic stroke: small‐vessel (SVD) and large‐vessel disease (LVD). The aim of the present study is to complete a pilot study to inform the feasibility, design, magnitude of difference in experience of fatigue, and sample size for a definitive study to evaluate differences in fatigue between these two groups of stroke patients. The experimental hypothesis is that participants with LVD experience a significantly greater level of fatigue than those with SVD as assessed by the Fatigue Severity Scale (FSS). Methods. The study used a cohort observational design. Thirteen participants were recruited over a two‐month period from King's College Hospital. Participants were visited on average at the start of the second week of rehabilitation to complete the FSS. An independent t‐test and ANCOVA were performed. For all statistical analyses, a significance level of p < 0.05 was used. Results. The study demonstrated a trend towards LVD participants reporting higher fatigue scores than SVD participants, even when controlling for age, with gender having no confounding effect. Conclusions. Fatigue is common amongst ischemic stroke rehabilitation participants with 85% of the combined sample experiencing fatigue at the start of the second week. The results demonstrate a trend towards LVD participants experiencing greater fatigue. While the results were non‐significant, the study demonstrates a feasible methodology which could help lay the groundwork for future research. Copyright © 2010 John Wiley & Sons, Ltd.     

Effect of bundle set interventions on physiologic alarms and alarm fatigue in an intensive care unit: A quality improvement project

ObjectiveTo determine if the implementation of an evidence-based bundle designed to reduce the number of physiologic monitor alarms reduces alarm fatigue in intensive care nurses.DesignThis quality improvement project retrospectively reviewed alarm data rates, types, and frequency to identify the top three problematic physiologic alarms in an intensive care unit. An alarm management bundle was implemented to reduce the number of alarms. The Nurses’ Alarm Fatigue Questionnaire was used to measure nurses’ alarms fatigue pre- and post-implementation of the bundle.SettingA combined medical surgical intensive care unit at an accredited hospital in the United States.ResultsThe top three problematic alarms identified during the pre-implementation phase were arrhythmia, invasive blood pressure, and respiration alarms. All three identified problematic physiologic alarms had a reduction in frequency with arrhythmia alarms demonstrating the largest decrease in frequency (46.82%). When measuring alarm fatigue, the overall total scores increased from pre- (M = 30.59, SD = 5.56) to post-implementation (M = 32.60, SD = 4.84) indicating no significant difference between the two periods.ConclusionAfter implementing an alarm management bundle, all three identified problematic physiologic alarms decreased in frequency. Despite the reduction in these alarms, there was not a reduction in nurses’ alarm fatigue.     

Clinical evaluation of a novel respiratory rate monitor

Respiratory rate has been shown to be an important predictor of cardiac arrest, respiratory adverse events and intensive care unit admission and has been designated a vital sign. However it is often inadequately monitored in hospitals. We test the hypothesis that RespiraSense, a piezoelectric-based novel respiratory rate (RR) monitor which measures the differential motion of the chest and abdomen during respiratory effort, is not inferior to commonly used methods of respiratory rate measurement. Respiratory rate was compared between the developed RespiraSense device and both electrocardiogram and direct observation by nursing staff. Data was collected from 48 patients admitted to the post-anaesthesia care unit in a tertiary level hospital. The primary outcome measure was difference in average RR calculated over a 15 min interval between (1) RespiraSense and ECG and (2) RespiraSense and nurses’ evaluation. The secondary outcome measure was the correlation between the respiratory rates measured using these three methods. The 95 % confidence interval for the difference in average RR between RespiraSense and ECG was calculated to be [?3.9, 3.1]. The 95 % confidence interval for the difference in average RR between RespiraSense and nurses’ evaluation was [?5.5, 4.3]. We demonstrate a clinically relevant agreement between RR monitored by the RespiraSense device with both ECG-derived and manually observed RR in 48 post-surgical patients in a PACU environment.     

Frequency and reliability of alarms in the monitoring of cardiac postoperative patients

Postoperative monitoring of cardiac operated patients requires appropriately functioning monitor alarms as well as intensive nursing activity. The limit alarms can be used for detection of life-threatening situations and monitoring of physiological changes in the patient's state. We studied the significance and the frequency of audible alarms during the postoperative intensive care of ten cardiac patients. Of 1307 occasions when such an alarm was activated during the study period of approximately 26 hours per patient, only 139 (10.6%) were significant. The highest proportion of significant audible limit alarms was found during the immediate postoperative period. Heart rate alarms were more reliable than alarms of the other parameters monitored in the study. Possibilities for improving the physiological monitoring and alarm system are discussed.     

Frequency and reliability of alarms in the monitoring of cardiac postoperative patients

Postoperative monitoring of cardiac operated patients requires appropriately functioning monitor alarms as well as intensive nursing activity. The limit alarms can be used for detection of life-threatening situations and monitoring of physiological changes in the patient's state. We studied the significance and the frequency of audible alarms during the postoperative intensive care of ten cardiac patients. Of 1307 occasions when such an alarm was activated during the study period of approximately 26 hours per patient, only 139 (10.6%) were significant. The highest proportion of significant audible limit alarms was found during the immediate postoperative period. Heart rate alarms were more reliable than alarms of the other parameters monitored in the study. Possibilities for improving the physiological monitoring and alarm system are discussed.