Circadian pattern of activation of the medical emergency team in a teaching hospital

Association of Admission Times on Mortality in Adult Patients with Severe Community-Acquired Pneumonia

ObjectivesThe objective of this study was to examine the association between admission time and in-hospital mortality in patients with severe community-acquired pneumonia.Research DesignThe study population consisted of individuals who were enrolled between January 2019 and December 2023. These individuals were divided into two groups based on the time of admission: daytime admission from 8:00 am to 6:00 pm and nighttime admission from 6:00 pm to 8:00 am The primary endpoint of the study was in-hospital mortality. Binary logistic regression was employed to assess the association between admission time and in-hospital mortality.ResultsA total of 307 patients with severe community-acquired pneumonia were ultimately enrolled in the study. Of the total number of patients, 57% (175 patients) were admitted at night. A comparative analysis of the clinical outcomes in the two groups revealed that the mortality rate for patients admitted at night was 28%, which was not significantly different from that of patients admitted during the day, which was 35.6% (P = .155). The findings from binary logistic regression analyses revealed no statistically significant correlation between nighttime admissions and in-hospital mortality.ConclusionsThis study's findings indicate that nighttime admission for patients diagnosed with severe community-acquired pneumonia is not associated with an elevated risk of mortality. Conversely, there may be a reduced mortality rate for patients admitted during nighttime hours. However, further prospective multicenter studies are required in the future to confirm this.

Night-time detection and response in relation to deteriorating inpatients: A scoping review

BACKGROUND

Although detection and response to clinical deterioration have been studied, the range and nature of studies focused on night-time clinical setting remain unclear.

AIM

This study aimed to identify and map existing research and findings concerning night-time detection and response to deteriorating inpatients in usual care or research settings.

STUDY DESIGN

A scoping review method was used. PubMed, CINAHL, Web of Science, and Ichushi-Web databases were systematically searched. We included studies focusing on night-time detection and response to clinical deterioration.

RESULTS

Twenty-eight studies were included. These studies were organized into five categories: night-time medical emergency team or rapid response team (MET/RRT) response, night-time observation using the early warning score (EWS), available resources for physicians' practice, continuous monitoring of specific parameters, and screening for night-time clinical deterioration. The first three categories were related to interventional measures in usual care settings, and relevant findings mainly demonstrated the actual situation and challenges of night-time practice. The final two categories were related to the interventions in the research settings and included innovative interventions to identify at-risk or deteriorating patients.

CONCLUSIONS

Systematic interventional measures, such as MET/RRT and EWS, could have been sub-optimally performed at night. Innovations in monitoring technologies or implementation of predictive models could be helpful in improving the detection of night-time deterioration.

RELEVANCE TO CLINICAL PRACTICE

This review provides a compilation of current evidence regarding night-time practice concerning patient deterioration. However, a lack of understanding exists on specific and effective practices regarding timely action for deteriorating patients at night.

Rapid Response Systems at a Long-Term Acute Care Hospital

Rapid Response Systems (RRS) improve patient outcomes at large medical centers. Little is known about how RRS are used in other medical settings. The purpose of this exploratory study was to describe RRS events at a long-term acute care hospital (LTACH). We conducted a retrospective review of 71 RRS event records at an urban 50-bed Midwestern LTACH. Measures included demographic data, triggering mechanisms, contextual factors, mechanism factors, and clinical outcomes. Of patients who experienced a RRS event, median age was 71 (62, 80) years; 52.1% were female; most (n = 49, 69%) were "full code." Most (n = 41, 58%) events occurred during the daytime. The most common trigger was "mental status changes/unresponsiveness." Registered nurses were the most frequent activator (n = 19, 26.8%) and responders (n = 63, 60.6%). Median duration of RRS events was 14 (6, 25) minutes. Most patients stabilized and their condition improved (n = 54, 76.1%). RRS can be expanded and modified to the LTACH population.

Association between time of day for rapid response team activation and mortality

PURPOSE

To evaluate the frequency of rapid response team (RRT) calls by time of day and their association with in-hospital mortality.

MATERIALS AND METHODS

This was a retrospective cohort study of all RRT calls at a tertiary teaching hospital in Porto Alegre, Brazil. Patients were categorized according to the time of initial RRT activation. Activations were classified as daytime (7:00-18:59) or nighttime (19:00-6:59). The primary outcome was in-hospital mortality rate. The secondary outcome was ICU admission within 48 h of RRT assessment.

RESULTS

During the study period, 4522 patients were included in the final analysis. Cardiovascular and respiratory changes were more common causes of nighttime activation, whereas neurological and laboratory changes were more common during the daytime. The in-hospital mortality rate was 23.9% (1081/4522). Nighttime RRT calls were not associated with worse outcomes than daytime calls. However, a decrease in the number of calls was observed during nursing handover periods (7:00, 13:00 and 19:00). Two time periods were associated with increased adjusted odds for mortality: 12:00-13:00 (adjusted OR 2.277; 95% CI 1.392-3.725) and 19:00-20:00 (adjusted OR 1.873; CI 1.873; 95% 1.099-3.190).

CONCLUSION

We found that nighttime RRT calls were not associated with worse outcomes than daytime RRT calls. However, a decrease in the number of calls and higher mortality was observed during nursing handover periods.

Characteristics and outcomes of medical emergency team calls in a Swiss tertiary centre - a retrospective observational study

AIMS OF THE STUDY

To describe reasons for medical emergency team (MET) activation over time, to analyse outcomes, and to describe the circadian distribution of MET calls and Intensive Care Unit (ICU) admissions following MET activation.

METHODS

Monocentric retrospective observational study of prospectively collected data on all MET calls between 1st of January 2012 until 31st of May 2019. We analysed data on baselines, referring wards, and disposition of all MET patients. In addition, we allocated all MET calls to the hourly intervals over the 24-hour cycle of the day in order to identify peak times of team activation.

RESULTS

A total of 4068 calls in 3277 patients (37% female, n = 1210) were analysed. The mean age was 65.9 years (± 15.7). The MET dose (defined as MET calls/1000 hospital admissions) remained relatively stable over the years with a median of 8.0 calls/1000 hospitalisations (interquartile range [IQR] 7.0-10.0). A total of 2526 calls (62%) occurred out of hours (17:00 to 8:00). The hourly rate of MET activations was greatest during the evening shift (33.8% of calls in seven hours), followed by the day shift (35.8% calls in nine hours) and night shift (30.4% in eight hours). Over the years, staff concern was the main reason for a MET call (n = 1192, 34%), followed by low peripheral oxygen saturation (SpO2) not responding to oxygen therapy (n = 776, 22%). Abnormal respiratory rate was a trigger to call the MET in 44 cases (1.3%), and was not documented prior to 2017. Overall, in-hospital mortality was 22%.

CONCLUSION

While most common reasons for MET calls over the years were staff concern and low SpO2, abnormal respiratory rate was the least frequent, but increased after the introduction of the quick sequential organ failure assessment (qSOFA) in 2016. Most MET calls occurred out of hours with peak hours during the evening shift, highlighting the importance of resource allocation during this shift when planning to introduce a MET system in a hospital. In-hospital mortality after a MET call was 22%.

Emergency Medical Response for Non-Hospitalized Person Events in a Children's Hospital

OBJECTIVES

Hospital-based code blue (CB) teams are designed for hospitalized patients (HP) with unanticipated medical emergencies outside of an ICU. At our freestanding pediatric institution, the same team responds to CB calls involving nonhospitalized persons (NHP) throughout the hospital campus. We hypothesized there are significant differences between the characteristics of NHP and HP requiring emergency medical response, and most responses for NHP do not require advanced critical care.

METHODS

We analyzed a retrospective cohort of CB responses at our large, urban, academic children's medical center from January to December 2017. We evaluated the demographic and clinical characteristics of these HP compared with NHP events.

RESULTS

There were 168 CB activations during the study, of which 135 (80.4%) were for NHP. Ninety-one (67.4%) of the NHP responses involved adults (age >18 years) compared with 6 (18.2%) of the HP. Triggers for CB team activation for NHP were most frequently syncope (42.2%), seizure (10.3%), or fall (9.6%) compared with seizure (30.3%), hypoxia (27.3%), or anaphylaxis (12.1%) for HP. Critical interventions such as bag-mask ventilation and cardiopulmonary resuscitation were infrequently performed for either cohort.

CONCLUSIONS

CB activations in our pediatric institution more often involve NHP than HP. NHP responses are more likely to involve adults and infrequently require advanced interventions. Use of a pediatric CB team for NHP events may be an unnecessary use of pediatric critical care resources. Future studies are warranted to evaluate the most effective team composition, training, and response system for NHP in a freestanding children's hospital.

Perioperative Medical Emergencies in a 23-Hour Surgical Procedure Unit

Purpose

Our 174-bed hospital operates a 23-hour/day procedure unit without a dedicated on-site high dependency unit or intensive care unit. The purpose of this investigation is to assess the incidence of medical emergency response (MER) and Code Blue (CB) events over 12 months.

Patients and Methods

A retrospective analysis of hospital records was conducted. Patients were identified using the medical emergency team (MET) database. Information pertaining to whether the patient was pre-operative, post-operative (including time and characteristics of the operation), or medical short stay overflow was obtained, in addition to the reason for the MER/CB event and outcome of the event.

Results

Of all hospital events, 8.45% (47 of 550) occurred in the perioperative ward. The incidence rate of events was 0.76% (95% CI: 0.53% to 0.99%) of all scheduled operations. The surgical procedure cancellation rate due to pre-operative MER/CB events was 0.11% (95% CI: 0.02% to 0.20%). Orthopedic surgery and ENT surgery were associated with the highest incidence of MER/CB events. Post-operative hypotension and reduced consciousness associated with vasovagal episodes were the most common clusters. The mean time after the operation for events to occur was 5.21 hours. 25.5% of events occurred outside of standard day surgery operating hours when there was limited access to onsite consultant anaesthetic or surgical staff (17:00 to 08:00).

Conclusion

This study highlights the anticipated medical emergencies for a 23-hour procedural unit and is of particular interest for evaluation by other short stay surgical, outpatient procedural, or rural hospital surgical units with limited after hours on-site critical care support.

I-PASS Illness Severity Identifies Patients at Risk for Overnight Clinical Deterioration

BACKGROUND

The I-PASS framework is increasingly being adopted for patient handoffs after a recent study reported a decrease in medical errors and preventable adverse events. A key component of the I-PASS handoff included assignment of illness severity.

OBJECTIVE

We evaluated whether illness severity categories can identify patients at higher risk of overnight clinical deterioration as defined by activation of the rapid response team (RRT).

METHODS

The I-PASS handoff documentation created by internal medicine residents and patient charts with overnight RRT activations from April 2016 through March 2017 were reviewed retrospectively. The RRT activations, illness severity categories, vital signs prior to resident handoff, and patient outcomes were evaluated.

RESULTS

Of the 28 235 written patient handoffs reviewed, 1.3% were categorized as star (sickest patients at risk for higher level of care), 18.8% as watcher (unsure of illness trajectory), and 79.9% as stable (improving clinical status). Of the 98 RRT activations meeting the inclusion criteria, 5.1% were labeled as star, 35.7% as watcher, and 59.2% as stable. Patients listed as watcher had an odds ratio of 2.6 (95% confidence interval 1.7-3.9), and patients listed as star had an odds ratio of 5.2 (95% confidence interval 2.1-13.1) of an overnight RRT activation compared with patients listed as stable. The overall in-hospital mortality of patients with an overnight RRT was 29.6%.

CONCLUSIONS

The illness severity component of the I-PASS handoff can identify patients at higher risk of overnight clinical deterioration and has the potential to help the overnight residents prioritize patient care.

Diurnal Variation in Medical Emergency Team Calls at a Tertiary Care Children's Hospital

Medical emergency teams (METs) bring critical care expertise to the bedsides of hospital ward patients who may be deteriorating. Diurnal variation in MET activation rates may identify inconsistencies in the detection of patients needing intervention. We aimed to determine whether such variation exists at our tertiary care children's hospital.

Methods

In this retrospective cohort study, we collected data including date and time of MET and disposition following MET for all inpatients at Cincinnati Children's Hospital Medical Center with a MET call between January 2008 and May 2014. The analysis compared the MET rate between days and nights, weekdays and weekends, and before and after nursing shift change.

Results

The number of METs per hour varied throughout the day. More METs were called during the day than at night (0.7 calls/shift ± 0.95 vs 0.6 ± 0.9, P < 0.001). There were also more METs per day on weekdays than weekends (1.4 ± 1 calls/d vs 1.2 ± 1, P < 0.001). Daytime METs were more likely to lead to transfer to the intensive care unit or operating room than those called at night (61.9% vs. 52.9%, P < 0.001). MET activation rates did not differ significantly in the 2 hours before nursing shift change compared to the 2 hours after.

Conclusions

At our large tertiary care children's hospital, there are both diurnal variations and variations across weekdays versus weekends in the MET activation rate. This difference may indicate variations in our ability to detect deteriorating patients on the wards and be further studied.

Associations between patient and system characteristics and MET review within 48 h of admission to a teaching hospital: A retrospective cohort study

The Medical Emergency Team (MET) has enhanced the recognition and response to clinical deterioration in acute healthcare. However, patients reviewed by the MET are at increased risk of in-hospital death. Identifying patients at risk of deterioration may improve patient outcomes. AIM: To identify patient demographic, medical characteristics and healthcare systems and processes at the time of admission (baseline), associated with Medical Emergency Team (MET) review within 48 h (MET-48 h) of admission. METHODS: Single-site, year-long, retrospective cohort comprising patients admitted for at least 24 h, using routinely collected hospital data. A three-stage modelling approach was used to identify baseline factors associated with MET-48 h RESULTS: The study included 15,695 patients with mean age 62.1 years (SD 19.6), male (53.5%), born in Australia or New Zealand (60.9%) and 51.6% held a low-income concession card. A total of 4.3% of patients received a MET review within 48 h of admission. Variables independently associated with MET-48 h in a fully adjusted logistic model included age of 80 years or more (OR = 1.37); ≥3 previous emergency admissions (OR = 1.59); Charlson Comorbidity Index 1 or 2 (OR = 1.47), or ≥ 3 (OR = 1.99); history of alcohol-related behaviour concerns (OR = 2.04), chronic heart failure (OR = 1.48); chronic obstructive pulmonary disease (OR = 1.35); admission for colorectal (OR = 2.66) or upper gastro-intestinal (OR = 1.94) surgery, respiratory or tracheostomy (OR = 2.24); immunology and infections (OR = 1.90); emergency admission (OR = 1.36); admission at night (OR = 1.74), or summer (OR = 1.41) CONCLUSIONS: This is the first study to demonstrate the potential to predict clinical deterioration using data that is readily accessible at the time of admission to hospital.

The impact of proactive rounding on rapid response team calls: an observational study

BACKGROUND

Rapid response teams (RRTs) improve mortality by intervening in the hours preceding arrest. Implementation of these teams varies across institutions.

SETTING AND DESIGN

Our health-care system has two different RRT models at two hospitals: Hospital A does not utilize a proactive rounder while Hospital B does. We studied the patterns of RRT calls at each hospital focusing on the differences between night and day and during nursing shift transitions.

RESULTS

The presence of proactive surveillance appeared to be associated with an increased total number of RRT calls with more than twice as many calls made at the smaller Hospital B than Hospital A. Hospital B had more calls in the daytime compared to the nighttime. Both hospitals showed a surge in the night-to-day shift transition (7-8am) compared to the preceding nighttime. Hospital A additionally showed a surge in calls during the day-to-night shift transition (7-8pm) compared to the preceding daytime.

CONCLUSIONS

Differences in the diurnal patterns of RRT activation exist between hospitals even within the same system. As a continuously learning system, each hospital should consider tracking these patterns to identify their unique vulnerabilities. More calls are noted between 7-8am compared to the overnight hours. This may represent the reestablishment of the 'afferent' arm of the RRT as the hospital returns to daytime staffing and activity. Factors that influence the impact of proactive rounding on RRT performance may deserve further study.

Governance of Rapid Response Teams in Australia and New Zealand

Rapid response systems (RRS) in hospitals in Australia and New Zealand (ANZ) have been present for more than 20 years but governance of the efferent limb—the rapid response team (RRT)—has not been previously reported in detail. The objectives of this study were to describe current governance arrangements for RRTs within ANZ and contrast those against expected implementation, using the Australian Commission for Safety and Quality in Health Care National Standard 9 (S9) as a benchmark. Assessment focused on S9 subclauses 9.1.1 (governance and oversight), 9.1.2 (RRT implementation), 9.2.3 (data collection and dissemination), 9.2.4 (quality improvement), 9.5.2 (call reviews), 9.6.1 and 9.6.2 (basic and advanced life support [ALS] skill set). We identified public and private hospitals across ANZ from government-maintained registers. Those reasonably expected to have an RRT were contacted and invited to participate. Responses were obtained via an online anonymised questionnaire. Three hundred and forty-two hospitals were contacted, of whom 284 (83.0%) responded. Two hundred and thirty-two hospitals submitted data, and the other 52 declined to participate or did not have an RRT. In hospitals with an intensive care unit (ICU), intensivist attendance at RRT calls occurred less often outside office hours (odds ratio, OR, 0.49, 95% confidence interval, CI, 0.32 to 0.75]). Where intensivists were not on the RRT, consultation with them about calls also occurred less often outside office hours (OR 0.39, 95% CI 0.22 to 0.66). Consultation with patients’ admitting specialists occurred more often during office hours versus out of hours RRT calls and in private versus public hospitals. The presence of ICU staff on the RRT decreased the likelihood of admitting specialists being consulted about RRT calls (OR 0.66, 95% CI 0.47 to 0.93). Most hospitals maintained databases of RRT calls and regularly audited RRT activity (92% and 90% respectively). However, most (63.7%) did not make that information available beyond their hospital or local network. We concluded that the majority of hospitals in the ANZ region had governance mechanisms for their RRT. However, there was a notable lack of consistency, especially around specialist involvement and audit processes. Although some findings from this study are reassuring, there is still potential for improvement. Further development of guidelines and the establishment of a regional RRS database may assist with achieving this.

Inter-shift variation in unscheduled intensive care unit transfers at a children's hospital

BACKGROUND

The early detection of clinical deterioration and the prompt escalation of care is important but may be limited in the general ward, especially at night. Identifying variations between work shifts in the number of unscheduled in-hospital intensive care unit (ICU) transfers and emergency transfers involving life-threatening conditions may help implement targeted interventions to reduce delayed transfers and improve patient safety and outcomes.

METHODS

All unscheduled ICU transfers in a tertiary children's hospital, from January 2013 to December 2016, were reviewed retrospectively. The transfers were categorized into safe transfers and adverse safety events (ASE). The 4 year cumulative numbers for each transfer category in each work shift (day, evening, and night) were assessed for comparison. An ASE was defined as transfer after cardiopulmonary resuscitation or tracheal intubation in the ward, or an unrecognized situation awareness failure event transfer, which was defined as previously reported.

RESULTS

Of 244 unscheduled in-hospital ICU transfers, 167 were safe transfers and 77 were ASE. The number of unscheduled transfers and of ASE was highest during the day shift (n = 133 and 40, respectively) and lowest during the night shift (n = 25 and 12, respectively). In contrast, the proportion of ASE in the unscheduled transfers was higher during the night shift (48%) compared with the day and evening shifts (30% and 31%, respectively).

CONCLUSIONS

The occurrence of unscheduled ICU transfers was disproportionately low during the night shift, whereas the majority of ASE happened during the day shift. Future studies focusing on unravelling the reasons for such variations are warranted.

Impact of nighttime Rapid Response Team activation on outcomes of hospitalized patients with acute deterioration

Background

Rapid Response Teams (RRTs) are groups of healthcare providers that are used by many hospitals to respond to acutely deteriorating patients admitted to the wards. We sought to identify outcomes of patients assessed by RRTs outside standard working hours.

Methods

We used a prospectively collected registry from two hospitals within a single tertiary care-level hospital system between May 1, 2012, and May 31, 2016. Patient information, outcomes, and RRT activation information were stored in the hospital data warehouse. Comparisons were made between RRT activation during daytime hours (0800–1659) and nighttime hours (1700–0759). The primary outcome was in-hospital mortality, analyzed using a multivariable logistic regression model.

Results

A total of 6023 RRT activations on discrete patients were analyzed, 3367 (55.9%) of which occurred during nighttime hours. Nighttime RRT activation was associated with increased odds of mortality, as compared with daytime RRT activation (adjusted OR 1.34, 95% CI 1.26–1.40, P = 0.02). The time periods associated with the highest odds of mortality were 0600–0700 (adjusted OR 1.30, 95% CI 1.09–1.61) and 2300–2400 (adjusted OR 1.34, 95% CI 1.01–1.56). Daytime RRT activation was associated with increased odds of intensive care unit admission (adjusted OR 1.40, 95% CI 1.31–1.50, P = 0.02). Time from onset of concerning symptoms to RRT activation was shorter among patients assessed during daytime hours (P < 0.001).

Conclusions

Acutely deteriorating ward patients assessed by an RRT at nighttime had a higher risk of in-hospital mortality. This work identifies important shortcomings in health service provision and quality of care outside daytime hours, highlighting an opportunity for quality improvement.

Electronic supplementary material

The online version of this article (10.1186/s13054-018-2005-1) contains supplementary material, which is available to authorized users.

Relationship between diurnal patterns in Rapid Response Call activation and patient outcome

BACKGROUND

The Rapid Response Call (RRC) is a system designed to escalate care to a specialised team in response to the detection of patient deterioration. To date, there have been few studies which have explored the relationship between time of day of RRC and patient outcome.

OBJECTIVE

To examine the relationship between the time of RRC activations and patient outcome.

METHOD

All adult inpatients with a RRC in non-critical care wards of a metropolitan Australian hospital in 2012 were retrospectively reviewed. RRCs occurring between 18:00-07:59 were defined as 'out of hours'.

RESULTS

There were 892 RRC during the study period. RRCs out of hours were associated with a higher rate of ICU admissions immediately after the RRC (19.4% vs. 12.3%, p<0.001). Patients experiencing an out-of-hours RRC were more likely to have an in-hospital cardiopulmonary arrest (OR=1.7, p<0.04). In-hospital mortality rate was significantly higher for patients with out-of-hours RRCs (35.5% vs. 25.0%, p=0.014). After adjusting for confounders out-of-hours RRC were independently associated with increased need for ICU admissions and in-hospital mortality.

CONCLUSION

The diurnal timing of RRCs appears to have significant implications for patient mortality and morbidity, patient outcomes are worse if RRC occurs out of hours. This finding has implications for staffing and resource allocation.

Meta-analysis of day-of-week variation of acute aortic rupture or dissection

INTRODUCTION

We performed a meta-analysis to assess the presence of a day-of-week rhythmic variability of acute aortic rupture or dissection (AARD) onset.

EVIDENCE ACQUISITION

Eligible studies were observational studies enrolling patients with AARD and reporting day-of-week variation of AARD. Study-specific estimates, i.e. day-of-week incidence of AARD, were combined using the random-effects model. Chronobiological analysis was performed by applying a partial Fourier series to pooled day-of-week incidence by using the inverse-variance weighted least-squares method.

EVIDENCE SYNTHESIS

We identified 9 eligible studies enrolling a total of 28,036 patients with AARD. Pooled incidence of AARD was 12.8% on Sunday, 15.9% on Monday, 14.8% on Tuesday, 15.1% on Wednesday, 14.7% on Thursday, 14.1% on Friday, and 12.1% on Saturday. Chronobiological analysis identified a significant (P=0.0098) day-of-week pattern in the occurrence of AARD with a peak on Monday and a nadir on Saturday. Pooled analysis demonstrated significantly more incidence on Monday than on Saturday (relative risk: 1.247; 95% CI: 1.131 to 1.374; P=0.012).

CONCLUSIONS

Incidence of AARD was 12.8%, 15.9%, 14.8%, 15.1%, 14.7%, 14.1%, and 12.1%, on Sunday, Monday, Tuesday, Wednesday, Thursday, Friday, and Saturday, respectively. A significant day-of-week pattern in the occurrence of AARD with a peak on Monday and a nadir on Saturday was identified with significantly more incidence on Monday than on Saturday.

Time of Admission to the PICU and Mortality

OBJECTIVES

To evaluate for any association between time of admission to the PICU and mortality.

DESIGN

Retrospective cohort study of admissions to PICUs in the Virtual Pediatric Systems (VPS, LLC, Los Angeles, CA) database from 2009 to 2014.

SETTING

One hundred and twenty-nine PICUs in the United States.

PATIENTS

Patients less than 18 years old admitted to participating PICUs; excluding those post cardiac bypass.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 391,779 admissions were included with an observed PICU mortality of 2.31%. Overall mortality was highest for patients admitted from 07:00 to 07:59 (3.32%) and lowest for patients admitted from 14:00 to 14:59 (1.99%). The highest mortality on weekdays occurred for admissions from 08:00 to 08:59 (3.30%) and on weekends for admissions from 09:00 to 09:59 (4.66%). In multivariable regression, admission during the morning 06:00-09:59 and midday 10:00-13:59 were independently associated with PICU death when compared with the afternoon time period 14:00-17:59 (morning odds ratio, 1.15; 95% CI, 1.04-1.26; p = 0.006 and midday odds ratio, 1.09; 95% CI; 1.01-1.18; p = 0.03). When separated into weekday versus weekend admissions, only morning admissions were associated with increased odds of death on weekdays (odds ratio, 1.13; 95% CI, 1.01-1.27; p = 0.03), whereas weekend admissions during the morning (odds ratio, 1.33; 95% CI, 1.14-1.55; p = 0.004), midday (odds ratio, 1.27; 95% CI, 1.11-1.45; p = 0.0006), and afternoon (odds ratio, 1.17; 95% CI, 1.03-1.32; p = 0.01) were associated with increased risk of death when compared with weekday afternoons.

CONCLUSIONS

Admission to the PICU during the morning period from 06:00 to 09:59 on weekdays and admission throughout the day on weekends (06:00-17:59) were independently associated with PICU death as compared to admission during weekday afternoons. Potential contributing factors deserving further study include handoffs of care, rounds, delays related to resource availability, or unrecognized patient deterioration prior to transfer.

Association Between Survival and Time of Day for Rapid Response Team Calls in a National Registry

OBJECTIVES

Decreased staffing at nighttime is associated with worse outcomes in hospitalized patients. Rapid response teams were developed to decrease preventable harm by providing additional critical care resources to patients with clinical deterioration. We sought to determine whether rapid response team call frequency suffers from decreased utilization at night and how this is associated with patient outcomes.

DESIGN

Retrospective analysis of a prospectively collected registry database.

SETTING

National registry database of inpatient rapid response team calls.

PATIENTS

Index rapid response team calls occurring on the general wards in the American Heart Association Get With The Guidelines-Medical Emergency Team database between 2005 and 2015 were analyzed.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The primary outcome was inhospital mortality. Patient and event characteristics between the hours with the highest and lowest mortality were compared, and multivariable models adjusting for patient characteristics were fit. A total of 282,710 rapid response team calls from 274 hospitals were included. The lowest frequency of calls occurred in the consecutive 1 AM to 6:59 AM period, with 266 of 274 (97%) hospitals having lower than expected call volumes during those hours. Mortality was highest during the 7 AM hour and lowest during the noon hour (18.8% vs 13.8%; adjusted odds ratio, 1.41 [1.31-1.52]; p < 0.001). Compared with calls at the noon hour, those during the 7 AM hour had more deranged vital signs, were more likely to have a respiratory trigger, and were more likely to have greater than two simultaneous triggers.

CONCLUSIONS

Rapid response team activation is less frequent during the early morning and is followed by a spike in mortality in the 7 AM hour. These findings suggest that failure to rescue deteriorating patients is more common overnight. Strategies aimed at improving rapid response team utilization during these vulnerable hours may improve patient outcomes.

Timing and Location of Medical Emergency Team Activation Is Associated with Seriousness of Outcome: An Observational Study in a Tertiary Care Hospital

Purpose

The medical emergency team (MET) can be activated anytime and anywhere in a hospital. We hypothesized the timing and location of MET activation are associated with seriousness of outcome.

Materials and Methods

We tested for an association of clinical outcomes with timing and location using a university hospital cohort in Japan (n = 328). The primary outcome was short-term serious outcome (unplanned ICU admission after MET activation or death at scene).

Results

Patients for whom the MET was activated in the evening or night-time had significantly higher rates of short-term serious outcome than those for whom it was activated during the daytime (vs. evening: adjusted OR = 2. 53, 95% CI = 1.24–5.13, P = 0.010; night-time: adjusted OR = 2.45, 95% CI = 1.09–5.50, P = 0.030). Patients for whom the MET was activated in public space had decreased short-term serious outcome compared to medical spaces (public space: adjusted OR = 0.19, 95% CI = 0.07–0.54, P = 0.0017). Night-time (vs. daytime) and medical space (vs. public space) were significantly associated with higher risks of unexpected cardiac arrest and 28-day mortality.

Conclusions

Patients for whom the MET was activated in the evening/night-time, or in medical space, had a higher rate of short-term serious outcomes. Taking measures against these risk factors may improve MET performance.

The impact of rationing of health resources on capacity of Australian public sector nurses to deliver nursing care after-hours: a qualitative study

Australia, along with other countries, has introduced New Public Management (NPM) into public sector hospitals in an effort to contain healthcare costs. NPM is associated with outsourcing of service provision, the meeting of government performance indicators, workforce flexibility and rationing of resources. This study explores the impact of rationing of staffing and other resources upon delivery of care outside of business hours. Data was collected through semistructured interviews conducted with 21 nurses working in 2 large Australian metropolitan hospitals. Participants identified four strategies associated with NPM which add to workload after-hours and impacted on the capacity to deliver nursing care. These were functional flexibility, vertical substitution of staff, meeting externally established performance indicators and outsourcing. We conclude that cost containment alongside of the meeting of performance indicators has extended work traditionally performed during business hours beyond those hours when less staffing and material resources are available. This adds to nursing workload and potentially contributes to incomplete nursing care.

Delayed Rapid Response Team Activation Is Associated With Increased Hospital Mortality, Morbidity, and Length of Stay in a Tertiary Care Institution

OBJECTIVE

To identify whether delays in rapid response team activation contributed to worse patient outcomes (mortality and morbidity).

DESIGN

Retrospective observational cohort study including all rapid response team activations in 2012.

SETTING

Tertiary academic medical center.

PATIENTS

All those 18 years old or older who had a rapid response team call activated. Vital sign data were abstracted from individual patient electronic medical records for the 24 hours before the rapid response team activation took place. Patients were considered to have a delayed rapid response team activation if more than 1 hour passed between the first appearance in the record of an abnormal vital sign meeting rapid response team criteria and the activation of an rapid response team.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A total of 1,725 patients were included in the analysis. Data were compared between those who had a delayed rapid response team activation and those who did not. Fifty seven percent patients met the definition of delayed rapid response team activation. Patients in high-frequency physiologic monitored environments were more likely to experience delay than their floor counterparts. In the no-delay group, the most common reasons for rapid response team activation were tachycardia/bradycardia at 29% (217/748), respiratory distress/low SpO2 at 28% (213/748), and altered level of consciousness at 23% (170/748) compared with respiratory distress/low SpO2 at 43% (423/977), tachycardia/bradycardia at 33% (327/977), and hypotension at 27% (261/977) in the delayed group. The group with no delay had a higher proportion of rapid response team calls between 8:00 and 16:00, whereas those with delay had a higher proportion of calls between midnight and 08:00. The delayed group had higher hospital mortality (15% vs 8%; adjusted odds ratio, 1.6; p = 0.005); 30-day mortality (20% vs 13%; adjusted odds ratio, 1.4; p = 0.02); and hospital length of stay (7 vs 6 d; relative prolongation, 1.10; p = 0.02) compared with the no-delay group.

CONCLUSIONS

Delays in rapid response team activation occur frequently and are independently associated with worse patient mortality and morbidity outcomes.

Diurnal variation in the performance of rapid response systems: the role of critical care services-a review article

The type of medical review before an adverse event influences patient outcome. Delays in the up-transfer of patients requiring intensive care are associated with higher mortality rates. Timely detection and response to a deteriorating patient constitute an important function of the rapid response system (RRS). The activation of the RRS for at-risk patients constitutes the system’s afferent limb. Afferent limb failure (ALF), an important performance measure of rapid response systems, constitutes a failure to activate a rapid response team (RRT) despite criteria for calling an RRT.

There are diurnal variations in hospital staffing levels, the performance of rapid response systems and patient outcomes. Fewer ward-based nursing staff at night may contribute to ALF. The diurnal variability in RRS activity is greater in unmonitored units than it is in monitored units for events that should result in a call for an RRT. RRT events include a significant abnormality in either the pulse rate, blood pressure, conscious state or respiratory rate. There is also diurnal variation in RRT summoning rates, with most activations occurring during the day. The reasons for this variation are mostly speculative, but the failure of the afferent limb of RRT activation, particularly at night, may be a factor.

The term “circadian variation/rhythm” applies to physiological variations over a 24-h cycle. In contrast, diurnal variation applies more accurately to extrinsic systems. Circadian rhythm has been demonstrated in a multitude of bodily functions and disease states.

For example, there is an association between disrupted circadian rhythms and abnormal vital parameters such as anomalous blood pressure, irregular pulse rate, aberrant endothelial function, myocardial infarction, stroke, sleep-disordered breathing and its long-term consequences of hypertension, heart failure and cognitive impairment. Therefore, diurnal variation in patient outcomes may be extrinsic, and more easily modifiable, or related to the circadian variation inherent in human physiology. Importantly, diurnal variations in the implementation and performance of the RRS, as gauged by ALF, the RRT response to clinical deterioration and any variations in quality and quantity of patient monitoring have not been fully explored across a diverse group of hospitals.

Rapid Response Team Calls and Unplanned Transfers to the Pediatric Intensive Care Unit in a Pediatric Hospital

BACKGROUND

Variability in disposition of children according to the time of rapid response calls is unknown.

OBJECTIVE

To evaluate times and disposition of rapid response alerts and outcomes for children transferred from acute care to intensive care.

METHODS

Deidentified data on demographics, time and disposition of the child after activation of a rapid response, time of transfer to intensive care, and patient outcomes were reviewed retrospectively. Data for rapid-response patients on time of activation of the response and unplanned transfers to the intensive care unit were compared with data on other patients admitted to the unit.

RESULTS

Of 542 rapid responses activated, 321 (59.2%) were called during the daytime. Out of all rapid response activations, 323 children (59.6%) were transferred to intensive care, 164 (30.3%) remained on the general unit, and 19 (3.5%) required resuscitation. More children were transferred to intensive care after rapid response alerts (P = .048) during the daytime (66%) than at night (59%). During the same period, 1313 patients were transferred to intensive care from acute care units. Age, sex, risk of mortality, length of stay, and mortality rate did not differ according to the time of transfer. Mortality among unplanned transfers (3.8%) was significantly higher (P < .001) than among other intensive care patients (1.4%).

CONCLUSION

Only 25% of transfers from acute care units to the intensive care unit occurred after activation of a rapid response team. Most rapid responses were called during daytime hours. Mortality was significantly higher among unplanned transfers from acute care than among other intensive care admissions.

Activities of a Medical Emergency Team: a prospective observational study of 795 calls

Relatively few papers have examined specific causes for Medical Emergency Team (MET) review and the assessment and management undertaken by the MET. The aim of our study was to describe the type of patients who require MET review, the reasons such reviews are requested and the subsequent immediate management of these patients. Our prospective single-centre observational study was conducted in a university-affiliated tertiary hospital in New Zealand between October 2012 and September 2013. Each trigger for MET review was assessed separately to allow analysis of the main associated underlying conditions and interventions. Seven hundred and ninety-five MET calls were generated for 630 patients. Mean patient age was 64 years. Sixty percent of all calls involved medical patients. There was a marked diurnal variation in the incidence of MET calls, with MET calls more likely during the daytime and evening compared to the night. The most common triggers for MET calls were an unresponsive or fitting patient (25.2%), tachycardia (24.2%), and an Early Warning Score of 8 or more (22.8%). Neurological causes (30.7%), cardiovascular failure (hypotension, pulmonary oedema) (26.7%), respiratory failure (22.6%), and sepsis (19.2%) were the most common underlying conditions. One of these top four conditions was present in nearly all patients (99.2%). The majority of MET calls were made for a relatively small number of underlying conditions and triggers, supporting the concept of 'MET syndromes'. The pattern of interventions is predictable from the triggering condition. This may guide education and training of ward staff to improve detection of deteriorating patients and prevent or pre-emptively manage causes of such deterioration prior to MET criteria being reached. The association between time of day and crisis recognition suggests the hospital system does not reliably detect deteriorating patients. This questions the adequacy of monitoring of deteriorating patients on hospital wards.

Factors affecting response to national early warning score (NEWS)

INTRODUCTION

The NEWS is a physiological score, which prescribes an appropriate response for the deteriorating patient in need of urgent medical care. However, it has been suggested that compliance with early warning scoring systems for identifying patient deterioration may vary out of hours. We aimed to (1) assess the scoring accuracy and the adequacy of the prescribed clinical responses to NEWS and (2) assess whether responses were affected by time of day, day of week and score severity.

METHODS

We performed a prospective observational study of 370 adult patients admitted to an acute medical ward in a London District General Hospital. Patient characteristics, NEW score, time of day, day of week and clinical response data were collected for the first 24h of admission. Patients with less than a 12h hospital stay were excluded. We analysed data with univariate and multivariate logistic regression.

RESULTS

In 70 patients (18.9%) the NEW score was calculated incorrectly. There was a worsening of the clinical response with increasing NEW score. An appropriate clinical response to the NEWS was observed in 274 patients (74.1%). Patients admitted on the weekend were more likely to receive an inadequate response, compared to patients admitted during the week (p<0.0001). After adjusting for confounders, increasing NEWS score remained significantly associated with an inadequate clinical response. Furthermore, our results demonstrate a small increase in inadequate NEWS responses at night, however this was not clinically or statistically significant.

CONCLUSION

The high rate of incorrectly calculated NEW scores has implications for the prescribed actions. Clinical response to NEWS score triggers is significantly worse at weekends, highlighting an important patient safety concern.

Chronobiology of acute aortic rupture or dissection: a systematic review and a meta-analysis of the literature

OBJECTIVES

Identification and quantification higher risk incidence of aortic rupture or dissection (AARD) could be of clinical interest and improve preventive strategies.

BACKGROUND

Several studies and subsequent meta-analyses have shown chronobiologic variations in the timing of occurrence of myocardial infarction, stroke, and pulmonary embolism. Conversely, such evidences are currently lacking for AARD despite a number of studies available dealing with periodicity.

METHODS

MEDLINE, EMBASE, and Google Scholar databases were searched up to July 2013. Temporal variation in the incidence of AARD was analyzed including all studies analyzing seasonal, monthly, weekly, and circadian aggregations. Two authors independently reviewed and extracted data.

RESULTS

Forty-two studies for a total of more than 80 000 patients were included. Our results showed a significantly increased incidence of AARD in Winter (Chi-square 854.92, p < 0.001), with a relative risk (RR) of 1.171 (99% CI 1.169, 1.172), in December (Chi-square 361.03, p < 0.001), RR of 1.142 (99% CI 1.141, 1.143), on Monday (Chi-square 428.09, p < 0.001), RR of 1.214 (99% CI 1.211, 1.216), and in the hours between 6 am and 12 pm (Chi-square 212.02, p < 0.001), RR of 1.585 (99% CI 1.562, 1.609). Subgroup and sensitivity analyses confirmed the results of principal analyses.

CONCLUSIONS

Our data strongly support the presence of evident rhythmic patterns in the incidence of acute aortic events, characterized by significantly higher risk in Winter, in December, on Monday and between 6 am and 12 pm. Future studies are needed to better clarify the underlying mechanisms and clinical implications.

Examination of patterns in intubation by an emergency airway team at a large academic center: higher frequency during daytime hours

BACKGROUND

Emergency airway management represents an event with high acuity but unpredictable frequency and therefore presents a challenge for adequate staffing. Given circadian and seasonal variations, we hypothesized that the majority of emergency airway events happen after normal working hours and during the winter months.

METHODS

A retrospective analysis of 1,482 intubations by an emergency airway team over a 3-y period was performed. The data were obtained from hospitalized patients who required emergency airway management in a large academic medical center. A database of emergency airway consultations was analyzed for intubation time and date information, as well as geographic location within the hospital.

RESULTS

A greater percentage of emergency intubations occurred during day shift hours (7 am to 7 pm) compared with night shift hours, 57% and 43%, respectively (P < .01). The monthly frequency of intubations was not uniformly distributed across the year (P < .01). The greatest percentage of intubations was performed in February (10.9%), with the lowest being recorded in August (4.7%).

CONCLUSIONS

Emergency airway service utilization is highest during daytime hours, with seasonal variations composed of higher consults in the winter and lower consults in the summer.

The epidemiology of adult Rapid Response Team patients in Australia

Rapid Response Teams (RRT) are specialised teams that review deteriorating ward patients in an attempt to prevent morbidity and mortality. Most studies have assessed the effect of implementing an RRT into a hospital. There is much less literature on the characteristics and outcomes of RRT patients themselves. This article reviews the epidemiology of adult RRT patients in Australia and proposes three models of RRT syndromes. The number of RRT calls varies considerably in Australian hospitals from 1.35 to 71.3/1000 hospital admissions. Common causes of RRT calls include sepsis, atrial fibrillation, seizures and pulmonary oedema. Approximately 20% of patients to whom an RRT has responded have more than one RRT call, and up to one-third have issues around end-of-life care. Calls are least common overnight. Between 10 to 25% of patients are admitted to a critical care area after the call. The in-hospital mortality for RRT patients is approximately 25% overall but only 15% in patients without a limitation of medical therapy. RRT syndromes can be conceptually described by the trigger for the call (e.g. hypotension) or the clinical condition causing the call (e.g. sepsis). Alternatively, the RRT call can be described by the major theme of the call: "end-of-life care", "requiring critical care" and "stable enough to initially remain on the ward". Based on these themes, education strategies and quality improvement initiatives may be developed to reduce the incidence of RRT calls, further improving patient outcome.

Medical emergency response in a sub-acute hospital: improving the model of care for deteriorating patients

Objective To assess the frequency, characteristics and outcomes of medical emergency response (MER) calls in a sub-acute hospital setting. Methods The present study was a retrospective observational study in a sub-acute hospital providing aged care, palliative care, rehabilitation, veteran’s mental health and elective surgical services. We assessed annual MER call numbers between 2005 and 2011 in the context of contemporaneous changes to hospital services. We also assessed MER calls over a 12-month period in detail using standardised case report forms and the scanned medical record. Results There were 2285 multiday admissions in the study period where 141 MER calls were triggered in 132 patients (61.7 calls per 1000 admissions). The median patient age was 83.0 years, and 55.3% of patients were men. Most calls occurred on weekdays and during the daytime, and were triggered by altered conscious state, low oxygen saturations and hypotension. Documentation of escalation of care before the MER call was not present in 99 of 141 (70.2%) calls. Following the call, in 70 of 141 (49.6%) cases, the patient was transferred to the acute campus, where 52 (74.2%) and 14 (20%) patients required ward and intensive care level treatment, respectively. Thirty-seven of 132 (28%) patients died. A palliative care physician adjudicated that most of these patients who died (24/37; 64.9%) were appropriate for a call, but that 19 (51.4%) should have received palliation at the time of the call. Compared with survivors, patients who died after the MER call were more likely originally admitted from supported accommodation. Conclusions MER calls in our sub-acute hospital occurred in elderly patients and are associated with an in-hospital mortality of 28%. A small proportion of patients required intensive care level treatment. There is a need to improve processes involving escalation of care before MER call activation and to revise advance care directives. What is known about this topic? Rapid response team (RRT) activation has been well described in the acute hospital setting. Although the impact on survival benefit to patients remains controversial, it has been widely adopted as a model of care to respond to deteriorating ward patients. This is particularly relevant in Australia at present with the implementation of the new National Safety and Quality Health Service Standards. What does this paper add? There have not been any previous papers published on rapid response systems in a sub-acute hospital. This paper describes some of the changes and challenges associated with increasing RRT activations in a sub-acute health care facility. What are the implications for practitioners? For clinicians in a sub-acute setting, the study reinforces the importance of pre-emptively documenting and communicating advance care directives. In addition, it is important to identify patients with reversible pathology likely to benefit from transfer and acute care, and to avoid the transfer of those who will not and, instead, provide appropriate palliation. For practitioners involved in models of care for deteriorating patients, the study provides information on where problems occurred in our system and the strategies used to address these issues.

Development of a ubiquitous clinical monitoring solution to improve patient safety and outcomes

This paper highlights the main findings of an integrated and ubiquitous remote wireless based vital signs monitoring solution as trialed in a clinical setting. Results demonstrate the feasibility of utilising a Wi-Fi based solution to monitor early-warning signs such as impedance-based respiration rate changes, heart rate/ECG events, temperature, and motion analysis in a clinical setting and act as an early warning system.

Retrospective review of emergency response activations during a 13-year period at a tertiary care children's hospital

OBJECTIVES

Pediatric in-hospital arrests are uncommon but are associated with poor outcomes. In preparation for implenting a Rapid Response Team (RRT) at The Children's Hospital, we reviewed our data collection of 13 years of emergency response team (ERT) activations. We describe demographic and clinical variables, including outcomes of ERT activations at a free-standing tertiary care children's hospital.

METHODS

Analysis was performed on data collected from January 1993 through July 2007. Variables collected included age, sex, admission diagnosis, core event, admission diagnosis and secondary diagnosis, medical division or winter/nonwinter months, day/night shifts, survival of core event, survival to discharge, and primary attending service.

RESULTS

There were 1537 ERT activations in the database, 203 were eliminated due to missing data or were adult visitors/employees. The remaining 1334 were included for analysis. Our results showed 39%(511) of all ERT activations occurred in patients under 1 year of age. The most common admission diagnosis category was cardiac disease. There was no statistical significance between summer and winter months although more activations occurred during daytime hours (P < .001). Survival rate of an ERT was 90%, with a 78% survival rate to discharge.

CONCLUSION

Our data support the general belief that younger children with chronic disease are at highest risk for ERT activations. These risk factors should be taken into consideration when planning patient placement, medical staffing, and the threshold for ICU consultations or admissions. More extensive multisite studies using clinical data are necessary to further identify hospitalized children at risk for sudden decompensation.

Reduction of hospital mortality and of preventable cardiac arrest and death on introduction of a pediatric medical emergency team

OBJECTIVE

To determine the effect of a medical emergency team (MET) on the incidence of unexpected cardiac arrest and death.

DESIGN

Comparison of retrospective data (pre-MET) before introduction of MET with prospective data after introduction of MET system (post-MET).

SETTING

Tertiary care pediatric hospital.

PATIENTS

A total of 104,780 admissions during a 41-month period pre-MET; 138,424 admissions during 48 months post-MET.

INTERVENTIONS

Introduction of a MET.

RESULTS

Total hospital deaths decreased from 4.38 to 2.87/ 1000 admissions (risk ratio 0.65, 95% confidence interval [CI] 0.57-0.75, p < 0.0001). Ward unexpected death decreased from 13 (0.12/1000) to 6 (0.04/1000) (risk ratio 0.35, 95% CI 0.13- 0.92, p = 0.03) but unexpected cardiac arrests did not change from 0.19/1000 to 0.17/1000 (risk ratio 0.91, 95% CI 0.50 -1.64, p = 0.75). Thirty-four hospital deaths, including three unexpected deaths (1 out of 72 MET calls), were prevented each year of MET operation. Preventable cardiac arrest (children whose symptoms or signs fulfilled MET calling criteria) decreased from 17 (0.16/ 1000) to 10 (0.07/1000) (risk ratio 0.45, 95% CI 0.20-0.97, p = 0.04) and in whom death decreased from 12 to 2 (0.11/1000 to 0.01/1000) (risk ratio 0.13, 95% CI 0.03-0.56, p = 0.001). Nonpreventable cardiac arrest (children whose symptoms or signs did not fulfill MET calling criteria) increased from 3 to 14 (0.03/1000 to 0.10/1000, p = 0.03) but death did not increase. Survival from cardiac arrest increased from 7 of 20 patients to 17 of 23 (risk ratio 2.11, 95% CI 1.11- 4.02, p = 0.01). Annual calls for urgent assistance were 202 in the post-MET era and 46 during the pre-MET era (ratio 4.4:1).

CONCLUSIONS

Introduction of a MET was associated with reduction of total hospital death and reduction of preventable cardiac arrest and death with increased survival in wards of a pediatric hospital. MET calling criteria identified some but not all children at risk of unexpected cardiac arrest and death.

[Medical emergency teams: current situation and perspectives of preventive in-hospital intensive care medicine]

Severe clinical incidents occur in up to 10% of all non-intensive care unit (ICU) patients, which have an estimated mortality of 5-8%. As in the prehospital setting, early clinical warning signs can be identified in the majority of cases. Studies suggest that introduction of an in-hospital medical emergency team (MET) which responds to objective criteria of physiological deterioration, may effectively reduce the incidence of in-hospital cardiac arrests as well as unanticipated or readmissions to the ICU. According to this concept, METs would evaluate and treat non-ICU patients at risk at an early stage before a potentially fatal deterioration of cardiorespiratory parameters occurs. This article reviews available data on preventive in-hospital intensive care medicine and reflects on the circumstances for an implementation of METs in Germany, Austria and Switzerland.

Medical emergency and rapid response teams

Hospitals that care for children are establishing medical emergency or rapid response teams as system solutions for preventing unexpected but foreseeable respiratory and cardiac arrest on inpatient units. Typically, an experienced team of doctors and nurses responds quickly to a direct request by any level of staff or even a parent for assistance with a child whose physiologic parameters meet predetermined criteria or whose condition causes concern to them. Several pediatric studies comparing outcomes before and after introduction of these rapid response systems reported reductions in rates of respiratory or cardiac arrest and death but no prospective study has compared pediatric hospitals that have implemented rapid response teams to hospitals that have not.

A prospective study of factors influencing the outcome of patients after a Medical Emergency Team review

OBJECTIVE

To identify factors that predict outcome in patients receiving a Medical Emergency Team review.

DESIGN

Prospective observational study.

SETTING

Tertiary hospital.

PATIENTS

Cohort of 228 patients receiving one or more Medical Emergency Team reviews during daytime hours over a 1-year-period. Control cohort of all patients (n = 900) receiving a Medical Emergency Team review in the same period.

MEASUREMENTS AND RESULTS

We prospectively collected information from patients receiving a Medical Emergency Team review during daytime hours from Monday to Friday (audit group) including the clinical cause of deterioration and timing of call in relation to the first documented Medical Emergency Team call criterion (activation delay). We also collected information from the hospital Medical Emergency Team database regarding all patients visited by the Medical Emergency Team during the same period (complete cohort). Audit group patients had several similar characteristics to complete cohort patients but were less likely to be not-for-resuscitation before Medical Emergency Team review and more likely to receive a Medical Emergency Team review because of hypotension, change in neurological status and oliguria. Delayed Medical Emergency Team activation and not-for resuscitation orders were the only factors to show an independent statistical association with mortality (OR 2.53, 95% CI: 1.2-5.31, P = 0.01 and OR 5.63, 95% CI: 2.81-11.28, P < 0.01, respectively).

CONCLUSION

Delayed Medical Emergency Team activation and NFR orders are the strongest independent predictors of mortality in patients receiving a Medical Emergency Team review. Avoidance of delayed Medical Emergency Team activation should be a priority for hospitals operating rapid response systems.

Attitudes towards and evaluation of medical emergency teams: a survey of trainees in intensive care medicine

A survey was conducted to explore the perception of intensive care registrars on the impact of activities outside the intensive care unit (ICU), particularly in medical emergency teams, on their training and the care of patients. An anonymous mail-out survey was sent to 356 trainees registered with the Joint Faculty of Intensive Care Medicine, half of whom were determined to be involved in ICU duties. No patients were involved and respondents participated voluntarily. The main outcome measures were barriers and predictors of satisfaction with ICU training. One-hundred-and-thirty-six (38%) trainees responded. Seventy-eight percent had participated in a medical emergency team, of whom 99% of respondents stated the medical emergency team included an ICU registrar but rarely (3%) an ICU consultant. Sixty-six percent of respondents reported that medical emergency team involvement had a positive effect on training but 77% reported little or no supervision of team duties. While trainees did not believe they spent too much time performing medical emergency team duties, the time spent on medical emergency teams at night, when ICU staffing levels are at their lowest, was the same as during the day. Serious concern was expressed about the negative impact of medical emergency team activities on their ability to care for ICU patients and the additional stress on ICU medical and nursing staff Overall, ICU trainees regarded participation in a medical emergency team as positive on training and on patient care in wards, but other results have resource implications for the provision of clinical emergency response systems, care of patients in ICUs and the training of the future intensive care workforce.

Bench-to-bedside review: The MET syndrome--the challenges of researching and adopting medical emergency teams

Studies of hospital performance highlight the problem of 'failure to rescue' in acutely ill patients. This is a deficiency strongly associated with serious adverse events, cardiac arrest, or death. Rapid response systems (RRSs) and their efferent arm, the medical emergency team (MET), provide early specialist critical care to patients affected by the 'MET syndrome': unequivocal physiological instability or significant hospital staff concern for patients in a non-critical care environment. This intervention aims to prevent serious adverse events, cardiac arrests, and unexpected deaths. Though clinically logical and relatively simple, its adoption poses major challenges. Furthermore, research about the effectiveness of RRS is difficult to conduct. Sceptics argue that inadequate evidence exists to support its widespread application. Indeed, supportive evidence is based on before-and-after studies, observational investigations, and inductive reasoning. However, implementing a complex intervention like RRS poses enormous logistic, political, cultural, and financial challenges. In addition, double-blinded randomised controlled trials of RRS are simply not possible. Instead, as in the case of cardiac arrest and trauma teams, change in practice may be slow and progressive, even in the absence of level I evidence. It appears likely that the accumulation of evidence from different settings and situations, though methodologically imperfect, will increase the rationale and logic of RRS. A conclusive randomised controlled trial is unlikely to occur.

All truth passes through three stages.

First, it is ridiculed.

Second, it is violently opposed.

Third, it is accepted as being self-evident.

Arthur Schopenhauer (1788–1860), German philosopher

Implementation of a Rapid Response Team Decreases Cardiac Arrest Outside of the Intensive Care Unit

BACKGROUND

Patient safety and preventable inhospital mortality remain crucial aspects of optimum medical care and continue to receive public scrutiny. Signs of physiologic instability often precede overt clinical deterioration in many patients. The purpose of this study was to evaluate our early experience with implementation of a rapid response team (RRT) which would evaluate and treat nonintensive care unit (nonICU) patients with early signs of physiologic instability. We hypothesized that early evaluation and intervention before deterioration would avoid progression to cardiac arrest in patients.

METHODS

In March 2005, our urban Level I trauma center implemented an RRT to react to patient clinical deterioration; in effect, bringing critical care to the bedside. This team is available 24 hours/day, 7 seven days/week and consists of an intensivist, an ICU nurse, and a respiratory therapist. Activation criteria include pulse<40 or>130 beats per minute, systolic blood pressure<90 mm Hg, respiratory rate<8 or>24 breaths per minute, seizure, an acute change in mental status, or nursing staff concern for any other reason. Data were prospectively collected, including the number of RRT activations and the occurrence of inhospital cardiac arrest.

RESULTS

Between March and December 2005, the RRT was activated 76 times. All RRT activations were reviewed and thought to be appropriate. During the same time period the year before initiation of the RRT, there were 27 nonICU cardiac arrests. After RRT implementation, there were 13 cardiac arrests that occurred on the floor, representing just over a 50% reduction in cardiac arrest. Medical staff feedback regarding the RRT was uniformly positive.

CONCLUSIONS

Implementation of the RRT was well received by the hospital staff. Despite initial concerns to the contrary, the RRT was not over utilized. RRT activation resulted in early patient transfer to a higher level of care and avoided progression to cardiac arrest.