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. 2019 Aug 7;1(8):e0031. doi: 10.1097/CCE.0000000000000031

Rapid Response and Cardiac Arrest Teams: A Descriptive Analysis of 103 American Hospitals

Oscar J L Mitchell 1, Caroline W Motschwiller 1, James M Horowitz 2, Oren A Friedman 3, Graham Nichol 4,5, Laura E Evans 6,7, Vikramjit Mukherjee 7,
PMCID: PMC7063949  PMID: 32166272

Supplemental Digital Content is available in the text.

Keywords: cardiac arrest team, critical care, rapid response system, rapid response team

Objectives:

Despite improvements in the management of in-hospital cardiac arrest over the past decade, in-hospital cardiac arrest continues to be associated with poor prognosis. This has led to the development of rapid response systems, hospital-wide efforts to improve patient outcomes by centering on prompt identification of decompensating patients, expert clinical management, and continuous quality improvement of processes of care. The rapid response system may include cardiac arrest teams, which are centered on identification and treatment of patients with in-hospital cardiac arrest. However, few evidence-based guidelines exist to guide the formation of such teams, and the degree of their variation across the United States has not been well described.

Design:

Descriptive cross-sectional, internet-based survey.

Setting:

Cohort of preidentified clinicians involved in their hospital’s adult rapid response system across the United States.

Subjects:

Clinicians who had been identified by study team members using personal and professional contacts over a 7-month period from June 2018 to December 2018.

Interventions:

An 80-item survey was developed by the investigators. It sought information on the afferent (identification and notification of providers) and efferent (response of providers to patient) limbs of the rapid response system, as well as management of patients post in-hospital cardiac arrest.

Measurements and Main Results:

One-hundred fourteen surveys were distributed. Of these, 109 (96%) were completed. Six were duplicates and were excluded, leaving a total of 103 surveys from 103 hospitals in 30 states. Seventy-six percent of hospitals were academic, 30% were large hospitals (> 750 inpatient beds), and 58% had large ICUs (> 50 ICU beds). We found wide variation in the structure and function in both the afferent and efferent limbs of the rapid response system. The majority of hospitals had a rapid response team and a cardiac arrest team. Most rapid response teams contained a provider, a critical care nurse, and a respiratory therapist. In hospitals with training programs in internal medicine, anesthesia, emergency medicine, or critical care, 45% of rapid response teams and 75% of cardiac arrest teams were led by trainees, with inconsistent attending presence. Targeted temperature management and coronary catheterization were widely used post in-hospital cardiac arrest, but indications varied considerably.

Conclusions:

We have demonstrated substantial variation in the structure and function of rapid response systems as well as in management of patients during and after in-hospital cardiac arrest.


Despite continued improvements in the management of in-hospital cardiac arrest (IHCA) over the past decade, adult IHCA continues to be associated with poor outcomes (13). IHCA is frequently preceded by worsening vital signs, mental status changes, and other signs of physiologic deterioration (47). The recognition that delayed intervention in this population leads to worse outcomes has led to the development of rapid response systems (RRSs), which are hospital-wide efforts to identify such patients promptly and to intervene in order to prevent further decompensation (7, 8). Each RRS comprises of an afferent limb, responsible for detecting deterioration and triggering a response, an efferent limb who respond to the adverse event, as well as administrative and quality improvement limbs to support and improve the RRS respectively (9, 10).

RRSs have become widely implemented across the United States due to their inclusion in the Institute for Healthcare Improvement’s (IHI) 5 Million Lives Campaign, as well as regulatory guidance from the National Quality Forum (11, 12).

Despite widespread adoption, implementation of RRSs have been inconsistently linked to improved patient outcomes (1318). This heterogeneity is likely in part explained by variations in the implementation and acceptance of the RRS as well as the skills and ability of the constituent members of the response team (7). Many hospital also have a dedicated cardiac arrest team (CAT) to respond to IHCA (19). The management of patients during IHCA and after return of spontaneous circulation (ROSC) continues to evolve with a focus on mechanical cardiopulmonary resuscitation (CPR), extracorporeal membrane oxygenation CPR (ECPR), and early cardiac catheterization.

After recently demonstrating variation in RRS composition in five Northeastern U.S. states, our study group aimed to characterize RRS structure, composition, and function across the United States with an additional focus on the management of patients during and after IHCA.

MATERIALS AND METHODS

Survey Design and Distribution

The study was a prospective cross-sectional internet-based study. The study protocol was reviewed and approved by the New York University School of Medicine’s Office of Science and Research Institutional Review Board (i17-01584).

An 80-question survey was created by the investigators (Appendix 1, Supplemental Digital Content 1, http://links.lww.com/CCX/A74), all of whom collaborated in the creation of the survey. The survey was an expanded version of a 46-question survey used by members of our group in a previously published study (20). Although many of the questions were retained, the name of the hospital was added to avoid duplication of hospitals in the data and sections were added that focused on patient management during IHCA and after ROSC.

The study was conducted over a 7-month period from June 2018 to December 2018. In order to maximize the accuracy of the completed surveys as well as survey completion rates, the survey was sent only to clinicians involved in their hospital’s adult RRS who were willing to complete the survey. Once an appropriate subject was identified, a survey email was sent. After 2 weeks, a reminder email was sent if the survey had not been completed. Hospitals that had completed the initial version of the survey were included in this study only after consenting to and completing the updated version of the survey in its entirety. No data collected as part of the initial study were included. Study data were collected and managed using Research Electronic Data Capture, a secure, web-based application designed to support data capture for research studies (21). If duplicate entries were completed for a single hospital, the first to be completed was kept and other surveys were discarded.

To minimize the risk of duplicate surveys being completed, each survey contained a unique link, and the hospital name was included in the survey. All survey questions had to be completed in order to submit the survey. The number of inpatient beds at each hospital was found by study personnel on publicly available hospital or state Department of Health websites.

Statistical comparisons of categorical variables were performed using the chi-square test. Data analysis was completed using the Statistical Package for the Social Sciences (SPSS) Version 25 (IBM Corporation, Armonk, NY).

RESULTS

Characteristics of the Study Hospitals

One-hundred fourteen surveys were sent out over the study period. One-hundred nine surveys were completed (96%). All surveys were completed in their entirety. Six surveys represented duplicate responses for the same hospital and were discarded, leaving a total of 103 completed surveys, a response rate of 90%, from 30 states, with 31% of responses coming from New York, nine percent from California, and seven percent from Pennsylvania (Supplementary Table 1, Supplemental Digital Content 2, http://links.lww.com/CCX/A75).

The majority of hospitals were university affiliated and had an Accreditation Council for Graduate Medical Education (ACGME) training program in either internal medicine (IM), emergency medicine (EM), critical care medicine (CCM), or anesthesia (83%). Large hospitals, defined as having more than 750 inpatient beds made up 30% of those studied and 58% had large ICUs, defined as ICUs with more than 50 ICU beds (Table 1).

TABLE 1.

Characteristics of Study Hospitals

graphic file with name cc9-1-e0031-g001.jpg

Afferent Limb of RRS

Ninety-nine percent of the surveyed hospitals had a rapid response team (RRT), all but one of which were available 24 hours per day, 7 days per week. RRTs were most commonly dispatched by pager or overhead call (79% and 49%, respectively). The RRT could be activated for clinical concern in 96%, single vital sign abnormalities in 77%, and Early Warning Score (EWS) in 54%.

Efferent Limb of RRS

The composition of both the RRT (Fig. 1) and CAT (Fig. 2), as well as the type of clinician most frequently responsible for team leadership (Table 2) varied substantially between centers. The majority of RRTs contained a respiratory therapist (RT), critical care nurse, and a provider (physician, nurse practitioner, or physician assistant) (86%, 79%, and 74%, respectively). RRTs were led by registered nurses in 21%, and by a critical care physician (either attending or trainee) in 19%. In hospitals with ACGME training programs, 45% of RRTs were led by trainees (resident or fellow physicians) but had consistent attending presence only 31% of the time.

Figure 1.

Figure 1.

Composition of rapid response teams. CC = critical care, EM = emergency medicine, IM = internal medicine, NP = nurse practitioner, PA = physician assistant, RT = respiratory therapist.

Figure 2.

Figure 2.

Composition of cardiac arrest teams. CC = critical care, EM = emergency medicine, IM = internal medicine, NP = nurse practitioner, PA = physician assistant, RT = respiratory therapist.

TABLE 2.

Efferent Team Leadership

graphic file with name cc9-1-e0031-g002.jpg

Ninety-four percent of hospitals had a dedicated CAT, 40% of which had an identical structure to their RRT. Seventy-five percent of CATs in hospitals with ACGME training programs were led by a trainee physician, with an attending consistently present in 62% of these CATs. Anesthesia providers were responsible for airway management in 66% of CATs (33% anesthesia residents, 29% anesthesia attending, and 4% certified registered nurse anesthetists). CCM (17%), RT (7%), and EM (5%) providers were responsible for the majority of the remainder of airway management. Thirty-five percent of hospitals reported not having consistent attending supervision of airway management at IHCAs.

Cardiopulmonary Arrest

Mechanical CPR devices were used in 16% of hospitals, most commonly for cases of refractory cardiopulmonary arrest (CPA) (50%). In 19% of hospitals with mechanical CPR, it was only available in certain areas of the hospital, for example, the Emergency Department or the ICU.

End-tidal CO2 (etco2) was used routinely during IHCA in 63% of hospitals and was more frequently used in large than smaller hospitals (≤ 750 beds) (84% vs 54%; p = 0.004), hospitals with large ICUs (75% vs 47%; p = 0.003), ECPR availability (76% vs 51%; p = 0.008), and hospitals that used EWS (73% vs 52%; p = 0.03).

Extracorporeal membrane oxygenation (ECMO) was available in 49% of hospitals, the majority (58%) of which was available as part of a structured 24 hour per day ECPR program. The remainder were only able to offer ECMO if resources were available during the day. Large hospitals and those with large ICUs were more likely to have ECPR (77% of large hospitals vs 36% of smaller hospitals; p < 0.001 and 62% of hospitals with large ICUs vs 30% of hospitals with smaller ICUs; p = 0.002). Hospitals that used EWS to trigger their RRT were also more likely to have ECPR (64% vs 31%; p = 0.001). Cardiothoracic surgery was responsible for ECMO cannulation in 88% of ECPR sites, with EM, CCM, cardiology, and trauma surgery responsible for the remaining 12%. Hospitals with ECPR were more likely to use etco2 monitoring (76% vs 51%; p = 0.008), and to place intraosseous lines (98% vs 81%; p = 0.006).

Post ROSC Care

Most hospitals (91%) used temperature targeted management (TTM) in patients with IHCA: Forty-four percent used TTM in all IHCA, regardless of initial cardiac rhythm; 10% used TTM for only cases where ventricular tachycardia (VT) or ventricular fibrillation (VF) was the initial rhythm; and 38% used TTM for all cases where VT or VF was the initial rhythm as well as select cases of pulseless electrical activity or asystole. The temperature target for hospitals using TTM was 33–34°C in 30%, 36°C in 29% and the remainder reported that the TTM target would be chosen based on the clinical situation.

Most institutions sent patients for post-IHCA cardiac catheterization (97%), but indications varied: 43% of institutions sent most or all patients with VF/VT IHCA for emergency cardiac catheterization regardless of whether ischemic changes were found on electrocardiogram (ECG); 33% sent only cases of VF (VF/VT) with ST elevations on the ECG after ROSC; 14% did not always perform coronary catheterization even on patients with ST elevations on the ECG after ROSC and the remaining institutions reported varying practice. Hospitals with large ICUs were more likely to take most or all patients with ROSC for cardiac catheterization (52% vs 30%; p = 0.03).

DISCUSSION

Our study demonstrated wide availability of both RRTs and CATs across the hospitals surveyed. We also found substantial variation in both the afferent and efferent limbs of the RRS.

Certain features of the afferent limb have been well studied, particularly the importance of early identification and intervention; however, the composition of response teams is less well studied (2227). This study builds on a previous survey by our group which demonstrated variation in both RRT and CAT composition across five northeastern U.S. states, adding information from multiple states and highlighting the variability in management of patients during IHCA and after ROSC (20).

Delaying activation of the RRT leads to worse clinical outcomes, presumably due to continued patient deterioration resulting in failure-to-rescue (2830). RRT dispatch, on the other hand, has been associated with improved outcomes but has also been associated with increased utilization of ICU resources (31, 32). EWS were designed to allow for prompt and accurate identification of critically ill inpatients and have evolved from simple vital sign based EWS, such as the National Health Service’s National EWS, to much more complex scores that integrate multiple variables such as laboratory results, patient location, and recent procedures. Despite this heterogeneity, EWS have been shown to be more accurate than the use of single vital sign abnormalities, have been validated across multiple specialties, and their introduction has been associated with a reduction in the rate of out-of-ICU IHCA (2225, 27, 33). More recently, machine learning algorithms have allowed for the creation of EWS models that may be more accurate than traditional EWS (26). Given the relatively low uptake among hospitals in this study, a focus on broader adoption of EWS and continued efforts to develop predictive models with higher accuracy may lead to improved patient outcomes.

Once the RRT has been dispatched, its function is to assess the patient, intervene if possible, and to move the patient to a higher level of care if required. To do so, its members must have an appropriate balance of expertise to correctly diagnose, manage, and triage the patient. Neither the IHI nor other professional guidelines have clearly defined the individual members who should be present in the RRT, nor the required skill set of the RRT (34). Among hospitals included in our survey, this seems to have resulted in wide variation in RRT composition and leadership. Most RRTs contained at least an RT, critical care nurse, and a provider, with only a minority of teams containing a critical care physician and other members of the RRT varying widely (Fig. 1). This team makeup certainly brings a valuable skill set to the patient, especially in airway management and critical care nursing. However, some could argue that the lack of a standardized team composition and infrequent inclusion of critical care providers risks falling short of the IHI’s stated goal for the RRT to bring “critical care expertise to the bedside.” We also found considerable differences in RRT leadership, likely due largely to differences in local resources and requirements.

The interaction between individual RRT configurations on patient outcomes has not been well studied and merit further investigation. Until then, the composition of the RRS efferent team should focus on including providers who are qualified to treat the most common RRT calls and contain members with expertise in the diagnosis and management of critically ill patients (ig. 3).

Figure 3.

Figure 3.

Skills required to treat common and acutely life-threatening inpatient emergencies. APP = advanced practice provider, EM = emergency medicine, RRT = rapid response team.

Aside from requiring Adult Cardiovascular Life Support (ACLS) certification from the team leader, professional guidelines make few recommendations about CAT composition (3537). It is not clear whether the specialty of the leader of the CAT impacts performance, but it has been well established that leadership, communication skills and a focus on team dynamics are essential for maximizing performance during IHCA (3840). CATs were almost always led by a physician, with trainee physicians frequently leading the team without attending physician supervision. This finding is consistent with the results of another recent study (19), and is of some concern as residents have low confidence about leading CATs, feel unprepared to do so, and have variable performance and experience in leading them (41, 42). Hospitals with the best outcomes from IHCA have a number of features in common, including the use of a dedicated and multidisciplinary CAT, and a focus on high-quality communication and ongoing training (43). The use of a dedicated CAT who regularly work together and who use simulation for team dynamic and leadership training is likely the most sensible approach to improve patient outcomes. Teams composed of a continuously rotating crew of IM, critical care, and anesthesia trainees that may never have worked together before are common, but probably not ideal (43).

Newer adjunctive tools for cardiac arrest care have become available, including physiologic monitoring with etco2, and therapeutic adjuncts such as intraosseous devices, and mechanical CPR (44). These all come with a cost for (re)training, upkeep, and device distribution and have not been associated with improved survival from CPA (4547). Mechanical CPR and etco2 were more commonly used in our study than in a 2014 study of CPR practices, suggesting gradual uptake of national ACLS guidelines (19). The use of these CPR adjuncts was particularly common in large hospitals, hospitals with ECPR, and hospitals that used EWS. This association likely represents a more robust quality improvement effort, mature RRS, and increased resources at these hospitals.

A large number of hospitals reported using TTM for IHCA, an increase in its use compared with previous studies (19, 48). Although we found high overall uptake, there remains marked variation in practice in terms of indications for starting TTM, and further work could investigate variation in duration and dose of TTM (49).

Finally, we found a surprisingly high availability of ECPR in hospitals in our study. Although this is based on self-report, it may be a biased representation due to the size and academic nature of hospitals in our study, ECPR has become a feature of CATs across the country, likely due to encouraging results of ECPR for IHCA and inclusion in the American Heart Association ACLS guidelines (44, 50).

Our study has several weaknesses which will limit its generalizability. One substantial limitation is the small number of hospitals surveyed. In contrast to our original study, which was distributed broadly to a range of clinicians, administrative staff, and hospital leadership, our study group ensured that the survey was sent to a willing, identified clinician working in their hospital’s RRS. Although this led to a much-improved survey completion rate, this likely resulted in substantial selection bias, with a disproportionate number of large, academic medical centers that were mainly located on the east or west coasts of the United States. Smaller hospitals may have fewer resources, less frequent IHCAs, and more limited physician availability when compared with large hospitals, factors which might affect RRT and CAT design. It is not clear whether our findings can be extrapolated to smaller hospitals or to hospitals outside of the United States, nor whether the high proportion of hospitals located in New York and California biased our findings, but other U.S.-based studies and several studies in Europe and New Zealand have also demonstrated substantial variation in RRT and CATs (19, 5153).

By the nature of the study design, the survey was only completed by a single individual at each hospital. Although we made substantial effort to ensure that the person completing the survey could do so accurately, we had no way of confirming that the survey was completed correctly. We collected descriptive data only and did not collect data on RRT call frequency, cardiac arrest rates, or patient complexity at each hospital, which may well impact RRT composition. Finally, we were unable to correlate our findings of the structure and function of these teams with hospital- or patient-level outcomes.

CONCLUSIONS

There is wide variation in the structure and function of RRT and CATs. The creation of evidence-based practice guidelines on the structure and function of RRT and CATs is critical to optimize outcomes from in hospital deterioration. Future research efforts should focus on the variability in outcomes with different RRT composition and establishing current practice in community hospitals, smaller hospitals, and settings with fewer resources.

ACKNOWLEDGMENTS

We thank Christopher Anderson, New York School of Medicine, Department of Internal Medicine, New York, NY.

Supplementary Material

cc9-1-e0031-s001.pdf (181.4KB, pdf)
cc9-1-e0031-s002.docx (16.6KB, docx)

Footnotes

New affiliation for Dr. Mitchell: Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.

Supplemental digital content is available for this article. Direct URL citations appear in the HTML and PDF versions of this article on the journal’s website (http://journals.lww.com/ccejournal).

Dr. Horowitz received funding from Steering committee for Evaluating the Safety and Efficacy of the Indigo Aspiration System in Acute Pulmonary Embolism (EXTRACT-PE) Clinical Trial with the Penumbra Indigo Aspiration System. Dr. Friedman received funding from Bristol Myers Squibb speaker’s bureau. Dr. Nichol received funding from National Heart Lung Blood Institute, Bethesda, MD, Pragmatic Airway Resuscitation Trial (PART), UH2 HL125163-03, Co-I, Modest; National Heart Lung Blood Institute, Bethesda, MD, Intravenous Sodium Nitrite as Therapy for Cardiac Arrest Pilot Trial (SNOCAT) UH2 HL129722-02, Co-I, Modest; Department of Defense, Washington, DC. Translating Military Simulation-based Trauma Team Research into Outcomes: LEADing Effective Resuscitations (LEADER), Co-I, Modest; Abiomed, Danvers, MA. Program to Identify Cardiogenic Shock Early (PRIME). PI, Modest; GE Healthcare, Chicago, IL. Very Early Identification of Shock by Ultrasound Exam (VENUE) PI, Modest; ZOLL Circulation, Sunnyvale, CA. STEMI Cool Pilot Trial to Assess Cooling as an Adjunctive Therapy to PCI In Patients With Acute MI (STEMI Cool) U.S. Pilot Trial, PI, Modest; and ZOLL Medical, Chelmsford, MA. Cardiopulmonary resuscitation process versus outcome, PI, Modest. Dr. Evans consulting for the Healthcare Association of New York State on Sepsis Quality Improvement. Dr. Mukherjee consult for 2nd MD, an online physician consultation enterprise. The remaining authors have disclosed that they do not have any potential conflicts of interest.

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