CPR-SF Technology Provides Instant Feedback - Patient Care - @ JEMS.com


CPR-SF Technology Provides Instant Feedback

Perform CPR with immediate feedback

 

 
 
 

Benjamin S. Abella, MD, MPhil | Bentley J. Bobrow, MD | David C. Cone, MD | Tyler Vadeboncoeur, MD | Vastal Chikani, MPH | From the March 2011 Issue | Tuesday, March 1, 2011

GALLERIES

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Perform CPR with immediate feedback
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Your EMS unit is providing on-site medical assistance at a triathlon when you receive a call that a 45-year-old athlete suddenly collapsed while running. When you arrive, he’s receiving bystander, hands-only CPR. As you assess the patient, you don’t see any evidence of trauma.

You and your partner initiate resuscitation using your latest CPR sensing-feedback (CPR-SF) technology. The initial rhythm on the monitor is ventricular fibrillation (v-fib). As your partner performs CPR, the monitor gives you audio and visual feedback that the initial chest compressions aren’t deep enough and are too rapid, so your partner adapts CPR accordingly.

On the third defibrillation attempt, after two minutes of post-shock CPR, the patient converts to normal sinus rhythm (NSR) and achieves return of spontaneous circulation (ROSC). Prior to intubation, he begins to arouse. His mental status continues to improve, and he’s awake and talking on arrival at the closest cardiac receiving hospital.

When you return to your station, you download the CPR process data from the monitor-defibrillator and conduct a debriefing session with the personnel involved in the resuscitation. You review the percentage of hands-off chest time and the chest compressions that were not within correct range for rate, depth, recoil and duty cycle.

You then transfer the data to a HIPAA-exempt, de-identified database as part of a research consortium your department is participating in to assess the affect of CPR quality on outcomes. The next day, you’re notified that the 45-year-old cardiac arrest patient is stable and resting in the cardiac intensive care unit, and will make a full recovery.

Low Survival Rates
This scenario regularly occurs in many communities across the country. Approximately 250,000 people in the U.S. die from out-of-hospital cardiac arrest (OHCA) each year, making it one of the leading causes of death.(1) Because of the critical nature of cardiac arrest and its quantifiable outcomes, cardiac arrest care is often used as the measuring stick for an entire EMS system.

Until recently, many considered a cardiac arrest a typically fatal event. Fortunately, times are changing. Many factors are improving CPR outcomes remarkably: new enthusiasm for cardiac arrest care and the performance of bystander CPR; high-quality, professional CPR; early defibrillation; and therapeutic hypothermia.

Because of these advances and a revised approach to resuscitation, we’re now seeing an increasing number of cardiac arrest patients leaving the hospital to lead healthy, productive lives.

High-quality CPR has been shown to improve survival and neurological outcomes after OHCA.(2–5) Despite this evidence, CPR is delivered inconsistently.(6–9) For example, one study found that paramedics ventilated intubated cardiac arrest patients at a rate of 30 per minute, which is three times faster than the 2005 and 2010 American Heart Association (AHA) Guidelines on CPR and Emergency Cardiac Care recommendations.10 Recent reports reveal that EMS systems focused on delivering high-quality CPR to OHCA patients have substantially improved rates of neurologically intact survival.(11–13)

The Science
OHCA is a highly prevalent disease with a very low survival rate.(14–17) Although high-quality CPR has been shown to improve hemodynamics, defibrillation success, ROSC and mortality rates, recent work has shown that CPR provided by medical professionals remains suboptimal.(4,6–9,11) Aufderheide and colleagues demonstrated that when paramedics ventilate OHCA patients more than the rate recommended by the AHA Guidelines, they elevate intrathoracic pressure, thereby decreasing venous return, coronary perfusion pressure, cerebral perfusion pressure and, ultimately, survival.(10)

In 2005, authors of one study found that during in-hospital cardiac arrests, compression rates were performed within 10 compressions per minute of the 100-per-minute AHA Guidelines recommended rate less than one-third of the time.(18) Those patients treated with compression rates close to the Guidelines’ recommendation were more likely to achieve ROSC.

Another study reported that during 176 OHCAs, 62% of chest compressions were too shallow and 42% were performed with incomplete recoil.(7) This failure to consistently implement high-quality CPR shouldn’t be surprising. The 2005 AHA Guidelines’ endorsement of “effective” chest compressions as a class I recommendation was a relatively recent event, following years of emphasis on interventions not shown to affect survival, such as early intubation and intravenous medications. The 2005 and 2010 AHA Guidelines recommend the use of feedback devices to assist crews in optimizing their CPR.

CPR-SF Technology
CPR-SF technology measures and records various components of CPR quality, such as chest-compression rate, depth, chest-wall recoil and ventilation. The technology is integrated into cardiac monitor/defibrillators to provide real-time audio and visual feedback to the person performing CPR during a real resuscitation or in training exercises. Recorded data can be used in a number of capacities, including a review of performance in a debriefing after the patient encounter or for research purposes. Examples of CPR-SF technology include Philips Q-CPR, ZOLL Real CPR Help and Physio-Control Compression-ventilation Metronome plus CodeStat with Advanced CPR Analytics (see Table 1 for more information about the available technologies).

The bottom line: CPR-SF technology offers the potential to facilitate the translation of CPR guideline recommendations into clinical practice through real-time feedback, education and quality surveillance. The optimal type and quantity of feedback remains to be determined.

Studies have demonstrated that effective use of CPR-SF technology improves compliance with optimal CPR performance during resuscitation. In 2005, one study noted an improvement in CPR performance by untrained lay bystanders using audio-prompting technology, and in 2006, another study demonstrated improved EMS provider guideline compliance for chest compression rate and depth using CPR-SF technology during prehospital resuscitation.(19,20) In 2008, CPR-SF technology was used to facilitate debriefing after 123 consecutive in-hospital cardiac arrests and demonstrated improved guideline compliance and increased rates of ROSC.(21)

Although there’s a small but growing body of scientific literature describing research using CPR-SF technology, little is known about its use in the daily practice of EMS providers. So we distributed a brief survey to estimate the prevalence of CPR-SF technology in use among EMS systems to assess how the technology is being deployed and to identify barriers to implementing the technology. We also sought to establish the barriers to widespread implementation of CPR-SF technology to maximize its impact on survival from OHCA.

The Survey
An Internet survey was administered to all members of the National Association of EMS Physicians (NAEMSP) on May 15, 2008. The primary questions addressed the awareness of CPR-SF technology, the prevalence of ownership of CPR-SF devices, the reasons for using the devices and the barriers to their implementation.

Survey Results
Twenty-six percent of 1,250 NAEMSP members responded to the survey. Forty-seven percent self-identified as medical directors, and 72% reported being physicians. Respondents were from 42 states and represented a diverse group of EMS systems.

Eighty-two percent of all respondents were aware of CPR-SF technology. Just 16% of medical directors reported working in systems that have CPR-SF devices, while 10% reported working in systems that use CPR-SF devices during field resuscitations (see Figure 1, p. 53). There are several reasons for CPR-SF device acquisition (see Table 2), but the results showed barriers to acquisition as well (see Figure 2, p. 53).

Thirteen of the 15 systems employing CPR-SF devices during field resuscitations use the devices for real-time CPR quality feedback, and 10 record CPR quality data for post-event review. In six of the systems, the audio feedback is either usually (or always) kept “on.”

Table 2 shows how the expectations of the 24 medical directors in systems owning CPR-SF devices have been met. In open-ended responses, nine of the 13 with partially realized expectations suggested that it’s too soon after implementation for them to know the successes and failures. Eleven of 16 medical directors who have CPR-SF devices but don’t have 100% of their units equipped report that they’ll likely acquire additional devices.

Discussion
The majority of respondents reported being aware of CPR-SF technology, but just 16% of medical directors reported working in a system that has the devices. Only 10% reported working in a system that uses the devices during field resuscitations.

Many EMS systems reported being financially challenged, and, as such, the primary barrier to the purchase of CPR-SF devices was cost, followed by insufficient available information about the devices. In their open-ended comments, respondents suggested when the price of CPR-SF devices is driven down by more widespread availability, and when the technology becomes routinely incorporated into defibrillators, it will be easier to justify their purchase.

The third most frequently reported barrier to purchase was inadequate science to justify their use. In 2005, the AHA Guidelines gave the use of CPR-prompting devices a class IIb recommendation, stating that they may be useful for in-hospital and out-of-hospital settings.(1)

Since the publication of the 2005 Guidelines (reflected in changes in the 2010 Guidelines), increasing evidence has been published that supports the effectiveness of CPR-SF devices, and the multi-center international Resuscitation Outcomes Consortium (ROC) is actively studying device-assisted CPR.(19–21)

Thirteen of the 15 systems that use the devices during field resuscitations use them for real-time quality feedback, and 10 collect CPR quality data for delayed review. While a majority of systems use real-time feedback (either audio or visual), just six medical directors report working in systems where the audio feedback is either usually or always kept “on.”

In their open-ended questions, a number of respondents expressed concerns about bystanders hearing the prompts and interpreting them as the patient receiving substandard care. This is an important practical limitation because using a visual prompt to guide CPR quality requires continuous sighting and an unimpeded view of the monitor. Thus, although only a small number of respondents (two) reported the audio prompts as a barrier to purchase, the prompts may be a significant obstacle to complete implementation of the technology.

Twenty-two of the 24 medical directors in systems owning the devices reported having their expectations either realized or partially realized, and 11 of 16 medical directors who have CPR-SF devices but don’t have 100% of their units equipped report that they’ll likely acquire additional devices. This suggests a certain degree of satisfaction with the technology.

Conclusion
Despite a high level of awareness of CPR-SF technology by EMS medical directors, few EMS systems currently possess the devices, fewer use them during field resuscitations, and an even smaller number use them to their full potential. Cost and the need for further outcomes research were cited by EMS medical directors as the main barriers to widespread implementation.

It recent years, several basic facets of cardiac arrest care have been shown to consistently improve outcomes. The ROC and other research groups are producing high-quality research that’s being translated into clinical practice. The resultant emphasis on bystander CPR; high-quality, professional CPR; early defibrillation without undue pauses in chest compressions; the avoidance of hyperventilation; and the induction of therapeutic hypothermia have resulted in improved outcomes from cardiac arrest that providers can readily see.

There’s a palpable, national energy regarding the positive effect of optimal cardiac arrest care. Providers are anxious to become involved and do what they can in their communities to improve outcomes. So it’s reasonable to assume that as more research becomes available demonstrating the ability of CPR-SF devices to improve CPR performance and outcomes, the demand for these devices will increase. Accordingly, the technology should evolve, making the devices more effective, user-friendly, accessible and affordable. JEMS

References
1. 2005 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation 2005;112:IV1–203.
2. Gallagher EJ, Lombardi G, Gennis P. Effectiveness of bystander cardiopulmonary resuscitation and survival following out-of-hospital cardiac arrest. JAMA. 1995;274:1922–1925.
3. Van Hoeyweghen RJ, Bossaert LL, Mullie A, et al. Quality and efficiency of bystander CPR. Belgian cerebral resuscitation study group. Resuscitation 1993;26:47–52.
4. Wik L, Steen PA, Bircher NG. Quality of bystander cardiopulmonary resuscitation influences outcome after prehospital cardiac arrest. Resuscitation. 1994;28:195–203.
5. Larsen MP, Eisenberg MS, Cummins RO, et al. Predicting survival from out-of-hospital cardiac arrest: A graphic model. Ann Emerg Med. 1993;22:1652–1658.
6. Aufderheide TP, Pirrallo RG, Yannopoulos D, et al. Incomplete chest wall decompression: A clinical evaluation of CPR performance by EMS personnel and assessment of alternative manual chest compression-decompression techniques. Resuscitation. 2005;64:353–362.
7. Wik L, Kramer-Johansen J, Myklebust H, et al. Quality of cardiopulmonary resuscitation during out-of-hospital cardiac arrest. JAMA. 2005;293:299–304.
8. Valenzuela TD, Kern KB, Clark LL, et al. Interruptions of chest compressions during emergency medical systems resuscitation. Circulation. 2005;112:1259–1265.
9. Van Alem AP, Sanou BT, Koster RW. Interruption of cardiopulmonary resuscitation with the use of the automated external defibrillator in out-of-hospital cardiac arrest. Ann Emerg Med. 2003;42:449–457.
10. Aufderheide TP, Sigurdsson G, Pirrallo RG, et al. Hyperventilation-induced hypotension during cardiopulmonary resuscitation. Circulation. 2004;109:1960–1965.
11. Rea TD, Eisenberg MS, Sinibaldi G, et al. Incidence of EMS-treated out-of-hospital cardiac arrest in the United States. Resuscitation. 2004;63:17–24.
12. Bobrow BJ, Clark LL, Ewy GA, et al. Minimally interrupted cardiac resuscitation by emergency medical services for out-of-hospital cardiac arrest. JAMA. 2008;299:1158–1165.
13. Kellum MJ, Kennedy KW, Barney R, et al. Cardiocerebral resuscitation improves neurologically intact survival of patients with out-of-hospital cardiac arrest. Ann Emerg Med. 2008;52:244–52.
14. Becker LB, Ostrander MP, Barrett J, et al. Outcome of CPR in a large metropolitan area—Where are the survivors? Ann Emerg Med. 1991;20:355–361.
15. Lombardi G, Gallagher J, Gennis P. Outcome of out-of-hospital cardiac arrest in New York City. The pre-hospital arrest survival evaluation (PHASE) study. JAMA. 1994;271:678–683.
16. Eckstein M, Stratton SJ, Chan LS. Cardiac arrest resuscitation evaluation in Los Angeles: CARE-LA. Ann Emerg Med. 2005;45:504–509.
17. Bobrow BJ, Vadeboncoeur TF, Clark L, et al. Establishing Arizona’s statewide cardiac arrest reporting and educational network. Prehosp Emerg Care. 2008;12:381–387.
18. Abella BS, Sandbo N, Vassilatos P, et al. Chest compression rates during cardiopulmonary resuscitation are suboptimal: A prospective study during in-hospital cardiac arrest. Circulation. 2005;111:428–434.
19. Williamson LJ, Larsen PD, Tzeng YC,et al. Effect of automatic external defibrillator audio prompts on cardiopulmonary resuscitation performance. Emerg Med J. 2005;22:140–143.
20. Kramer-Johansen J, Myklebust H, Wik L, et al. Quality of out-of-hospital cardiopulmonary resuscitation with real time automated feedback: A prospective interventional study. Resuscitation. 2006;71:283–292.
21. Edelson DP, Litzinger B, Arora V, et al. Improving in-hospital cardiac arrest process and outcomes with performance debriefing. Arch Intern Med. 2008;168:1063–1069.


Read More
For more about high-quality CPR and the 2010 AHA Guidelines, check out these exclusive supplements to JEMS: “CPR Performance Counts” (December 2010)  at www.jems.com/special/cpr-december-2010 and “Evolution in Resuscitation” (January 2011) at www.jems.com/special/evolution-resuscitation.

This article originally appeared in March 2011 JEMS as “Instant Replay: Perform CPR with immediate feedback.”



Instant Replay

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Instant Replay - Figure 1:

CPR-SF Device Awareness among Medical Directors


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Instant Replay - Table 1:

CPR-SF Technologies & Their * Given rapid advances in technology, the information provided in this table shouldn’t be considered definitive. The authors recommend reviewing the details of individual devices with the appropriate vendor.


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Instant Replay - Figure 2:

Barriers to Purchasing CPR-SF Devices as Stated by Medical Directors Who Were Aware of the Devices (N=126): * Percentages add up to more than 100 because respondents can choose more than one option.


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Instant Replay - Table 2

Experiences with CPR-SF Devices * Some percentages exceed more than 100% because respondents chose more than one option.


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Instant Replay Photo 5

The use of feedback devices is affecting EMS crews’ ability to achieve ROSC. (Photo Art vandalay)


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Instant Replay Photo 6

Audible and visual feedback devices provide real-time feedback to help improve CPR performance. (Photo Courtesy ZOLL Medical Corp.)



Connect: Have a thought or feedback about this? Add your comment now
Related Topics: Patient Care, Cardiac and Circulation, ZOLL, ventricular fibrillation, V-fib, Physio-Control, Philips Healthcare, out-of-hospital cardiac arrest, monitor, defibrillator, CPR-SF, cpr, cardiac, American Heart Association, AHA, 2010 AHA Guidelines, Jems Features

 

Benjamin S. Abella, MD, MPhilBenjamin S. Abella, MD, MPhil, is the clinical research director of the Center for Resuscitation Science at the University of Pennsylvania, where he clinically serves as an emergency department physician. His work is focused on CPR delivery and quality of resuscitation care, and he has written and lectured extensively on cardiac arrest and post-arrest therapy.

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Bentley J. Bobrow, MDis an associate professor of emergency medicine and practices at the Maricopa Medical Center in Phoenix, Ariz. He is a member of the Arizona Emergency Medicine Research Center and the Sarver Heart Center at the University of Arizona. He is the medical director for the Bureau of Emergency Medical Services and Trauma System at the Arizona Department of Health Services and the Scottsdale Fire Department. He is also a volunteer member of the American Heart Association Basic Life Support Subcommittee.

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David C. Cone, MDDavid C. Cone, MD, is an associate professor of emergency medicine and the public health EMS division chief for Yale University School of Medicine.

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Tyler Vadeboncoeur, MDTyler Vadeboncoeur, MD, is an assistant professor and research director in the department of emergency medicine for the Mayo Clinic Florida.

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Vastal Chikani, MPHVastal Chikani, MPH, is a statistician for the Arizona Department of Health Services Bureau of EMS & Trauma System. Contact him at

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