Journal List > J Korean Med Sci > v.33(51) > 1109205

Lee, Hwang, Shin, Lee, and Song: Effect of National Implementation of Telephone CPR Program to Improve Outcomes from Out-of-Hospital Cardiac Arrest: an Interrupted Time-Series Analysis

Abstract

Background

In cardiac arrest, the survival rate increases with the provision of bystander cardiopulmonary resuscitation (CPR), of which the initial response and treatment are critical. Telephone CPR is among the effective methods that might increase the provision of bystander CPR. This study aimed to describe and examine the improvement of neurological outcomes in individuals with out-of-hospital acute cardiac arrest by implementing the nationwide, standardized telephone CPR program.

Methods

Data from the emergency medical service-based cardiac arrest registry that were collected between 2009 and 2014 were used. The effectiveness of the intervention in the interrupted time-series study was determined via a segmented regression analysis, which showed the risk ratio and risk difference in good neurological outcomes before and after the intervention.

Results

Of 164,221 patients, 148,403 were analyzed. However, patients with unknown sex and limited data on treatment outcomes were excluded. Approximately 64.3% patients were men, with an average age of 63.7 years. The number of bystander CPR increased by 3.3 times (95% confidence interval [CI], 3.1–3.5) after the intervention, whereas the rate of good neurological outcomes increased by 2.6 times (95% CI, 2.3–2.9 [1.6%]; 1.4–1.7). The excess number was identified based on the differences between the observed and predicted trends. In total, 2,127 cases of out-of-hospital cardiac arrest (OHCA) after the intervention period received additional bystander CPR, and 339 cases of OHCA had good neurological outcomes.

Conclusion

The nationwide implementation of the standardized telephone CPR program increased the number of bystander CPR and improved good neurological outcomes.

Graphical Abstract

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INTRODUCTION

In the USA, approximately 92% (300,000) of patients with cardiac arrest die, and the deaths are attributed to the increasing number of cardiovascular diseases, which are considered major health problems owing to the rapid increase in the elderly population and influence of western lifestyle.1 Despite several efforts for improving the survival rate of patients with cardiac arrest in the community, and despite the reduced mortality rate of most cerebrovascular diseases, the survival rate of patients with acute cardiac arrest remains low.
In cardiac arrest, because irreversible brain damage occurs within 4–5 minutes, bystanders who witness a cardiac arrest should start cardiopulmonary resuscitation (CPR) as soon as possible to minimize brain damage in case of recovery. Research has shown that early access to emergency services, prompt defibrillation, and high-quality CPR significantly affect the survival rate of patients with cardiac arrest.23
Furthermore, when a bystander performed CPR for patients with cardiac arrest, the survival rate was 2–4 times higher compared to when CPR was not performed.45 The bystander CPR rate during witnessed cardiac arrest in Korea is approximately 12%,6 which is lower than that in the USA (54%), Denmark (45%), and Singapore (42%).789 The instructions provided by the dispatcher before the arrival of the ambulance were effective in increasing the bystander CPR rates by witnesses, and this result was presented in several studies.101112
In addition, in the 2010 American Heart Association guidelines, the dispatcher is an important team member in the initial emergency treatment of patients with cardiac arrest. Moreover, the guidelines recommend that all dispatchers should receive appropriate education to provide standardized, medically approved CPR instructions over the telephone.13 We expect that a standardized telephone CPR program will increase the rates of bystander CPR and improve good neurological outcomes.

METHODS

Study setting

This was an interrupted time-series study that used data from a nationwide prospective emergency medical service (EMS) out-of-hospital cardiac arrest (OHCA) registry in Korea. In total, 16 provincial headquarters of the fire department (FD) operate a fire-based EMS with approximately 1,500 ambulances and 8,500 emergency medical teams (EMTs; approximately 50% of level 1 and 50% of level 2). Moreover, 15 provinces have single and unified central dispatch centers, and only 1 province has agency-based dispatch centers. Medical directors oversee the CPR instructions of the dispatchers.
A strict nationwide quality assurance program on EMS for 4 major emergency conditions, including OHCA, severe trauma, acute myocardial infarction, and acute stroke, has been established in 2011 and has provided feedback to the provinces' FDs, EMS agencies, and individual EMTs.
There are around 460 emergency departments (EDs) in the country, which are designated as level 1, 2, or 3 based on their capacity that is identified by the Ministry of Health and Welfare. Board-certified emergency physicians in 20 level 1 and 130 level 2 EDs mandatorily provide 24/7 emergency care. The level 1 EDs must also have at least 20 emergency intensive care units. The general practitioners in level 3 EDs provide basic emergency care.

Study population

Patients with OHCA who received EMS from January 2009 to December 2014 were included in the study. However, those who did not receive resuscitative efforts, those who were witnessed by EMS providers, or those with missing information on treatment outcomes at discharge were excluded.

Nationwide implementation of telephone CPR (intervention)

In 2011, Seoul FD, one of the largest provinces in Korea, implemented a telephone CPR program, and an extremely significant improvement in treatment outcomes and an increase in the bystander CPR rate were observed. In October 2012, the National Emergency Management Agency expanded the program to all provincial FDs and developed a nationwide intervention by launching the telephone CPR program. In 2013, all dispatch centers set-up an electronic program for detecting an OHCA case in which instructions about CPR are provided to bystanders via telephone and the process is reported.
Thus, we defined 3-time periods, namely, before intervention, during intervention, and after intervention. Moreover, the specific periods were as follows: 1) before intervention: January 1, 2009 to December 31, 2010; 2) during intervention: January 1, 2011 to December 31, 2012; 3) after intervention: January 1, 2013 to December 31, 2014.
The program was developed based on the 2010 American Heart Association14 guidelines, which included; 1) 2 simplified key questions for identifying OHCA (altered mental status and abnormal breathing) and 2) standard communication processes for providing high-quality bystander CPR. The protocol was modified to accommodate the different characteristics of the 3 distinct patient groups: 1) general CPR protocol for OHCAs in adults with presumed cardiac etiology and general trauma; 2) CPR protocol for respiratory-induced OHCA, including asphyxia, hanging, chocking, and drowning; and 3) pediatric, infant, and neonate CPR protocols. Chest compression only CPR was used for the general OHCAs, whereas chest compression plus rescue ventilation method was used for respiratory OHCAs. For patients younger than 8 years, pediatric, infant, and neonate CPR protocols were used.
Education program for dispatchers was actively executed in the telephone CPR course that was developed by the Pan-Asian Resuscitation Outcomes Study8 network of the Asian EMS Council, Cardiac Arrest Registry to Enhance Survival investigators of the US, Save Hearts in Arizona Registry and Education investigators of Arizona, and Laerdal Medical in 2011. The education program included didactic sessions for telephone CPR, interactive skill sessions, and feedback sessions. More than 90% of dispatchers completed the course training in 2013. After the off-line courses, all dispatchers took a web-based, self-learning program translated in Korean and completed refresher training workshops annually.

Data collection

We used 3 data sources: EMS run sheets for basic ambulance operation information, EMS cardiac arrest registry, and dispatcher CPR registry. Data on outcomes were collected using data released by the Bureau of Statistics and reports published by the Korea Centers for Disease Control (KCDC). All EMS registries for each patient are linked as 1 episode using the ambulance dispatch number. The KCDC reviewed the medical records of all patients with OHCA who were transported by EMS to hospital EDs (approximately 700 hospitals) based on the abovementioned EMS registries.

Primary outcomes

The primary outcomes of this study were bystander CPR rate and good neurological outcomes. Good neurologic outcomes were categorized when the surviving patient had a cerebral performance category score of 1 or 2.

Statistical analysis

Categorical variables were presented as frequency and percentage, and continuous variables were presented as means with standard deviations. Comparison between groups was performed using χ2 test/Fisher's exact test for categorical variables and analysis of variance for continuous variables (age, response time, and prehospital time).
To compare the changes before and after the implementation of telephone CPR program, both risk ratio and risk difference were estimated and presented. Meanwhile, to describe the changes in the trend before and after the intervention, a segmented regression analysis was performed to estimate the intervention effects in the interrupted time-series studies, which allowed the calculation of the excess number of patients who additionally received bystander CPR and had good neurological outcomes.

Ethics statement

We used a nationwide, population-based, EMS-assessed OHCA CPR surveillance data and dispatcher center data in Korea. The study was approved by the Institutional Review Board (IRB) of Seoul National University Hospital (IRB No.: H-1103-153-357).

RESULTS

The total number of EMS-assessed OHCA cases was 148,403. Among the 164,221 target patients, 8,190 (5.0%) patients with unavailable medical records (Fig. 1), 1 with unknown sex, and 7,627 with unknown outcomes (4.9%) were excluded. The demographic characteristics of the study participants are presented in Table 1. No differences in the distribution of patients according to sex were observed. The average age of the participants was 63.7 years, and this indicates that the configuration of the adult group before the intervention was higher than that after the intervention and that the highest configuration of the elderly group was after the intervention. Approximately 66.4% of cardiac arrest occurred in private with 37.3% of witnesses. In addition, the after group had a lower number of initial shockable rhythm than the before group, whereas the number of applied advanced airway management was higher in the during group, and the percentage of transfer to levels 1–2 EDs increased in the after group.
Fig. 1

Flow of patient enrollment.

EMS = emergency medical service, OHCA = out-of-hospital cardiac arrest.
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Table 1

Demographic findings of study participants in the before, during and after intervention groups

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Variables Total Before (2009–2010) During (2011–2012) After (2013–2014) P value
No. (%) No. (%) No. (%) No. (%)
Total 148,403 (100.0) 45,003 (100.0) 48,738 (100.0) 54,662 (100.0)
Sex 0.07
Male 95,471 (64.3) 29,127 (64.7) 31,346 (64.3) 34,998 (64.0)
Female 52,932 (35.7) 15,876 (35.3) 17,392 (35.7) 19,664 (36.0)
Age group < 0.001
Child (age < 15) 2,749 (1.9) 970 (2.2) 941 (1.9) 838 (1.5)
Adult (15 ≤ age < 65) 65,173 (43.9) 20,866 (46.4) 21,203 (43.5) 23,104 (42.3)
Elderly (age ≥ 65) 80,481 (54.2) 23,167 (51.5) 26,594 (54.6) 30,720 (56.2)
Average (mean ± SD), yr 63.7 ± 19.3 62.2 ± 19.6 63.8 ± 19.3 64.9 ± 19.0 < 0.001
City < 0.001
Seoul 23,682 (16.0) 7,275 (16.2) 7,458 (15.3) 8,949 (16.4)
Outside of Seoul 124,721 (84.0) 37,728 (83.8) 41,280 (84.7) 45,713 (83.6)
Quarter of event < 0.001
Jan–Mar 38,680 (26.1) 11,244 (25.0) 12,984 (26.6) 14,452 (26.4)
Apr–Jun 35,744 (24.1) 11,085 (24.6) 11,700 (24.0) 12,959 (23.7)
Jul–Sep 34,115 (23.0) 10,527 (23.4) 11,077 (22.7) 12,511 (22.9)
Oct–Dec 39,864 (26.9) 12,147 (27.0) 12,977 (26.6) 14,740 (27.0)
Place of event < 0.001
Public 30,119 (20.3) 9,267 (20.6) 10,033 (20.6) 10,819 (19.8)
Private 98,541 (66.4) 30,163 (67.0) 32,048 (65.8) 36,330 (66.5)
Unknown 19,743 (13.3) 5,573 (12.4) 6,657 (13.7) 7,513 (13.7)
Witness < 0.001
Witnessed 55,393 (37.3) 16,466 (36.6) 18,719 (38.4) 20,208 (37.0)
Unwitnessed 65,226 (44.0) 19,348 (43.0) 21,620 (44.4) 24,258 (44.4)
Unknown 27,784 (18.7) 9,189 (20.4) 8,399 (17.2) 10,196 (18.7)
Defibrillation at EMS < 0.001
Yes 13,283 (9.0) - 4,407 (9.0) 8,876 (16.2)
Primary ECG rhythm < 0.001
VF/VT 3,624 (2.4) 1,169 (2.6) 1,221 (2.5) 1,234 (2.3)
PEA 5,848 (3.9) 1,538 (3.4) 2,042 (4.2) 2,268 (4.1)
Asystole 110,288 (74.3) 34,662 (77.0) 35,603 (73.0) 40,023 (73.2)
Unknown 28,643 (19.3) 7,634 (17.0) 9,872 (20.3) 11,137 (20.4)
Endotracheal intubation < 0.001
Yes 1,880 (1.3) - 519 (1.1) 1,361 (2.5)
Laryngeal mask airway < 0.001
Yes 6,056 (4.1) - 1,593 (3.3) 4,463 (8.2)
Elapsed time intervals (mean ± SD), min
Response time 8.7 ± 19.3 8.5 ± 8.6 8.5 ± 8.7 9.0 ± 10.3 < 0.001
Prehospital time 27.2 ± 17.9 26.1 ± 17.1 27.1 ± 18.2 28.3 ± 18.2 < 0.001
Level of ED < 0.001
Level 1 15,815 (10.7) 4,093 (9.1) 5,604 (11.5) 6,118 (11.2)
Level 2 66,019 (44.5) 18,688 (41.5) 21,215 (43.5) 26,116 (47.8)
Level 3 56,939 (38.4) 18,077 (40.2) 19,380 (39.8) 19,482 (35.6)
Level 4 9,630 (6.5) 4,145 (9.2) 2,539 (5.2) 2,946 (5.4)
Outcomes
Bystander CPR 9,649 (6.5) 1,309 (2.9) 2,721 (5.6) 5,619 (10.3) < 0.001
Prehospital ROSC 4,492 (3.0) 610 (1.4) 1,520 (3.1) 2,362 (4.3) < 0.001
Survival to discharge 6,512 (4.4) 1,563 (3.5) 2,189 (4.5) 2,760 (5.0) < 0.001
Good neurological outcome 2,777 (1.9) 453 (1.0) 877 (1.8) 1,447 (2.6) < 0.001
Intervention: telephone CPR program implementation.
EMS = emergency medical service, ECG = electrocardiogram, VF/VT = ventricular fibrillation/ventricular tachycardia, PEA = pulseless electrical activity, SD = standard deviation, ED = emergency department, CPR = cardiopulmonary resuscitation, ROSC = return of spontaneous circulation.
The percentage of cardiac arrest outcomes increased from the before to after group: from 2.9% to 10.3% in bystander CPR; from 1.4% to 4.3%15 in pre-hospital return of spontaneous circulation (ROSC); from 3.5% to 5.0% in survival discharge; and from 1.0% to 2.6% in good neurological outcomes (Table 1).
In the segmented regression analysis, the trend of bystander CPR rate had significant changes. A sharp change in the slope was found in the observed trend than the predicted trend during and after the telephone CPR, and a similar tendency was observed in the rate of good neurological outcomes. In addition, the sharp slope changes were also observed in the survival discharge rate during intervention. However, a decrease in the slope with an increase in the width was identified after the intervention (Fig. 2).
Fig. 2

Observed and predicted trends in the outcomes.

CPR = cardiopulmonary resuscitation, ROSC = return of spontaneous circulation.
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The number of bystander CPR increased by 1.9 times (95% confidence interval [CI], 1.8–2.0) and 3.3 times (95% CI, 3.1–3.5) during and after the intervention compared with before the intervention, whereas the number of good neurological outcomes increased by 1.8 times (95% CI, 1.6–2.0) and 2.6 times (95% CI, 2.3–2.9) during and after the intervention, respectively. The rate of bystander CPR also increased by 2.5% (95% CI, 2.2–2.7) during the intervention and by 6.4% (95% CI, 6.2–6.8) before and after intervention, and this result indicates that the rate of good neurological outcomes increased by 0.8% (95% CI, 0.6–0.9) during the intervention and by 1.6% (95% CI, 1.4–1.7) after the intervention (Tables 2 and 3).
Table 2

The effect of telephone CPR program on bystander CPR

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Variables During intervention After intervention
RR 95% CI RD (%) 95% CI Excess No. RR 95% CI RD (%) 95% CI Excess No.
Total 1.9 1.8–2.0 2.5 2.2–2.7 493 3.3 3.1–3.5 6.4 6.2–6.8 2,127
Seoul 1.3 1.2–1.4 3.3 2.3–4.3 96 1.3 1.2–1.4 4.0 3.0–5.0 316
Whole country except Seoul 1.7 1.6–1.9 1.7 1.4–1.9 363 3.4 3.1–3.6 5.3 5.0–5.6 1,674
Sex
Male 1.9 1.8–2.1 2.7 2.4–3.0 317 3.2 3.0–3.4 6.5 6.2–6.9 1,269
Female 1.8 1.6–2.0 2.1 1.7–2.5 174 3.5 3.2–3.9 6.4 6.0–6.9 849
Age group
Child 1.9 1.4–2.7 4.0 1.9–6.1 22 3.1 2.2–4.3 9.2 6.7–11.7 51
Adult 1.8 1.7–2.0 3.0 2.6–3.4 207 3.0 2.8–3.2 7.1 6.6–7.5 781
Elderly 2.0 1.8–2.2 2.0 1.7–2.3 269 3.9 2.6–4.3 6.1 5.7–6.4 1,321
Intervention: telephone CPR program implementation.
CPR = cardiopulmonary resuscitation, CI = confidence interval, RR = risk ratio, RD = risk difference.
Table 3

The effect of telephone CPR program on good neurological outcome

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Variables During intervention After intervention
RR 95% CI RD (%) 95% CI Excess No. RR 95% CI RD (%) 95% CI Excess No.
Total 1.8 1.6–2.0 0.8 0.6–0.9 125 2.6 2.3–2.9 1.6 1.4–1.7 339
Seoul 1.9 1.5–2.4 1.5 1.0–2.0 15 2.7 2.2–3.38 2.8 2.2–3.3 63
Whole country except Seoul 1.7 1.5–2.0 0.6 0.5–0.8 103 2.5 2.3–2.9 1.3 1.2–1.5 250
Sex
Male 1.9 1.7–2.2 1.0 0.8–1.2 100 2.8 2.5–3.2 2.0 1.8–2.3 248
Female 1.5 1.2–1.8 0.4 0.1–0.6 22 2.0 1.6–2.4 0.7 0.5–1.0 90
Age group
Child 1.9 1.1–3.3 1.8 0.3–3.2 −2 1.6 0.9–2.8 1.1 −0.3–2.5 −13
Adult 1.9 1.7–2.2 1.4 1.2–1.7 114 2.8 2.5–3.2 2.8 2.6–3.2 293
Elderly 1.6 1.3–2.1 0.2 0.1–0.4 6 2.6 2.1–3.3 0.6 0.5–0.8 59
Intervention: telephone CPR program implementation.
CPR = cardiopulmonary resuscitation, RR = risk ratio, CI = confidence interval, RD = risk difference.
The excess number is defined as the number of bystander CPR and good neurological outcomes, which was additionally performed or obtained during and after the intervention, and this was indicated by the differences in the observed and predicted trends. In total, 493 and 2,127 patients with OHCA during and after the intervention periods received additional bystander CPR, respectively, and 125 and 339 patients with OHCA during and after the intervention periods had good neurological outcomes, respectively (Tables 2 and 3).

DISCUSSION

This study evaluated the effects of a nationwide telephone CPR program in terms of an increase in the bystander CPR rate and improvement in the good neurological outcomes of patients with OHCA. The bystander CPR rate significantly increased from 2.9% before the intervention period to 5.6% and 10.3% during and after the intervention period, respectively. The number of good neurological outcomes also increased from 1.0% before the intervention period to 1.8% and 2.6% during and after the intervention period, respectively. Specifically, 2,620 patients with OHCA received bystander CPR, and 464 patients with OHCA had good neurological outcomes after the implementation of the telephone CPR program.
The researches from the systemic review suggested the effectiveness of telephone CPR in improving survival outcomes. However, the increase in bystander CPR itself was not always associated with an increase in survival outcomes.16 Thus, we decided to define the result of bystander CPR as good neurological outcomes.
The initial response and treatment are crucial factors in cardiac arrest because irreversible brain damage occurs within 3 minutes and death within 4–6 minutes. Moreover, patients who received delayed emergency treatment survive with insufficient neurological function to ensure self-sufficiency, which directly leads to clinical and economic burden. As such, several countries have been investing lots of efforts to increase the survival rate of patients and prevent the effects of OHCA by building the initial response system for participants with OHCA. Telephone CPR is initiated for bystanders to start CPR immediately before the arrival of the emergency response team, which leads to early resuscitation that increases the possibility of neurologic recovery. Based on the research outcome, data present the sharp increase in the rate of bystander CPR and good neurological outcomes after the intervention. A recent research by Ro et al.17 on the effect of providing telephone CPR to patients with OHCA has shown that the group that was provided telephone CPR had a better neurologic recovery and 1.5 times higher prehospital ROSC than the no bystander CPR group.
The percentage of cardiac arrest in the elderly population has increased from 48.6% in 2006 to 57.3% in 2014 according to the KCDC.6 Moreover, our data showed an increase from 51.5% in the before intervention group to 56.2% in the after intervention group. Several studies have shown that old age is associated with worse outcomes in several critical illnesses,181920 and the same result was observed in cardiac arrest.21222324 Therefore, the increase in the elderly population with cardiac arrest is among the factors that decrease the number of good neurological outcomes.
The early use of a defibrillator by bystanders is positively associated with an increased survival.2526 According to a statistics annual report of the national emergency medical center, public access defibrillation and its installation were mandated since 2007, which led to 21,015 (prevalence of 4.1 per 100,000 person) installations.27 However, the number is marginal compared with the 440,000 and 2,400,000 installations in Japan28 and the USA,29 respectively. The evaluation of the effectiveness of Automated External Defibrillator (AED) is challenging due to underutilization. That is, the attempt rate by bystanders is only 4.1%, and the rate of defibrillation use is 0.7%.
Advanced airway management, such as insertion of supraglottic airways or endotracheal intubation, has long been the standard for airway management in patients with OHCA, and recent studies have shown the challenges in the survival benefit of advanced airway management compared with conventional bag-valve-mask ventilation in clinical settings.303132333435 The prospective, nationwide, population-based study by Hasegawa et al.35 showed that any type of advanced airway management was associated with the decreased odds of good neurological outcome compared with conventional bag-valve-mask ventilation in adult patients with OHCA. Our study also showed that the rate of applied advanced airway management increased to 10.7%. However, there is no enough evidence showing the correlation between good neurological outcomes and advanced airway management.
The level of ED care is determined based on human resources, equipment, and availability of each specialty. All EDs are categorized into levels 1, 2, and 3. Level 1 EDs have the highest capability and capacity, and most level 1 EDs provide hypothermia therapy and 24/7 emergency percutaneous coronary intervention (PCI), of which the transfer rate increased from 9.1% (before the intervention) to 11.5% (during the intervention) and 11.2%.15 In addition, there was no significant change after the sharp increase in 2011 according to the quarterly data, as shown in Fig. 3.Several studies have reported the beneficial effects of post-resuscitation care, including therapeutic hypothermia, on the neurologic recovery of patients with OHCA.153637 In particular, OHCA with a shockable rhythm is a major indication of therapeutic hypothermia.1536 Therefore, the increase in shockable rhythm leads to the increase in therapeutic hypothermia. In addition, the fact that bystander CPR increases the shockable rhythm has been proven in several studies.383940 Thus, therapeutic hypothermia is a mediating variable, not a confounding variable, that needs adjustment.
Fig. 3

Transfer rate to level 1 ED among patients with EMS-assessed OHCA.

ED = emergency department, EMS = emergency medical service, OHCA = out-of-hospital cardiac arrest.
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The present study had several limitations. First, this was an observational study and not a randomized controlled trial. There was a significant possibility that a confounding variable could have affected the study results. Second, this study was conducted in an EMS facility with an intermediate service level, which is different from that in North American or European models with advanced service levels. The generalization of the study findings should be cautiously performed. Third, this study could not show the results after adjusting for confounding factors owing to the characteristics of the data, although it suggests the differences in OHCA before and after the intervention. Finally, the use of retrospectively collected data caused important variables to be categorized as unknown or missing, which might have caused some misclassification bias. Moreover, patients with unknown outcomes were excluded, which could have resulted in selection bias.
With the nationwide implementation of standardized telephone CPR, the number of bystander CPR and good neurological outcomes increased. Moreover, continuous quality control and expansion of education program, including telephone CPR, will result in a higher survival rate and improvements in good neurological outcomes of patients with cardiac arrest.

Notes

Funding This work was supported by Inha University Hospital Research Grant (2017).

Disclosure The authors have no potential conflicts of interest to disclose.

Author Contributions

  • Conceptualization: Lee YJ, Hwang SS, Shin SD, Lee SC, Song KJ.

  • Data curation: Lee YJ.

  • Formal analysis: Lee YJ.

  • Methodology: Lee YJ, Hwang SS, Song KJ.

  • Supervision: Hwang SS, Shin SD, Lee SC. Song KJ.

  • Writing - original draft: Lee YJ.

  • Writing - review & editing: Lee YJ, Hwang SS.

References

1. Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM, et al. Heart disease and stroke statistics--2011 update: a report from the American Heart Association. Circulation. 2011; 123(4):e18–e209.
2. McNally B, Robb R, Mehta M, Vellano K, Valderrama AL, Yoon PW, et al. Out-of-hospital cardiac arrest surveillance --- Cardiac Arrest Registry to Enhance Survival (CARES), United States, October 1, 2005--December 31, 2010. MMWR Surveill Summ. 2011; 60(8):1–19.
3. Sebbane M, Hayter M, Romero J, Lefebvre S, Chabrot C, Mercier G, et al. Chest compressions performed by ED staff: a randomized cross-over simulation study on the floor and on a stretcher. Am J Emerg Med. 2012; 30(9):1928–1934.
crossref
4. Sasson C, Rogers MA, Dahl J, Kellermann AL. Predictors of survival from out-of-hospital cardiac arrest: a systematic review and meta-analysis. Circ Cardiovasc Qual Outcomes. 2010; 3(1):63–81.
5. Rea TD, Eisenberg MS, Becker LJ, Murray JA, Hearne T. Temporal trends in sudden cardiac arrest: a 25-year emergency medical services perspective. Circulation. 2003; 107(22):2780–2785.
7. Wissenberg M, Lippert FK, Folke F, Weeke P, Hansen CM, Christensen EF, et al. Association of national initiatives to improve cardiac arrest management with rates of bystander intervention and patient survival after out-of-hospital cardiac arrest. JAMA. 2013; 310(13):1377–1384.
crossref
8. Harjanto S, Na MX, Hao Y, Ng YY, Doctor N, Goh ES, et al. A before-after interventional trial of dispatcher-assisted cardio-pulmonary resuscitation for out-of-hospital cardiac arrests in Singapore. Resuscitation. 2016; 102:85–93.
crossref
9. Wander PL, Fahrenbruch CE, Rea TD. The dispatcher assisted resuscitation trial: indirect benefits of emergency research. Resuscitation. 2014; 85(11):1594–1598.
crossref
10. Culley LL, Clark JJ, Eisenberg MS, Larsen MP. Dispatcher-assisted telephone CPR: common delays and time standards for delivery. Ann Emerg Med. 1991; 20(4):362–366.
crossref
11. Vaillancourt C, Verma A, Trickett J, Crete D, Beaudoin T, Nesbitt L, et al. Evaluating the effectiveness of dispatch-assisted cardiopulmonary resuscitation instructions. Acad Emerg Med. 2007; 14(10):877–883.
crossref
12. Hallstrom A, Cobb L, Johnson E, Copass M. Cardiopulmonary resuscitation by chest compression alone or with mouth-to-mouth ventilation. N Engl J Med. 2000; 342(21):1546–1553.
crossref
13. Berg RA, Hemphill R, Abella BS, Aufderheide TP, Cave DM, Hazinski MF, et al. Part 5: adult basic life support: 2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2010; 122(18):Suppl 3. S685–S705.
14. Prodoehl J, Yu H, Little DM, Abraham I, Vaillancourt DE. Region of interest template for the human basal ganglia: comparing EPI and standardized space approaches. Neuroimage. 2008; 39(3):956–965.
crossref
15. Hypothermia after Cardiac Arrest Study Group. Mild therapeutic hypothermia to improve the neurologic outcome after cardiac arrest. N Engl J Med. 2002; 346(8):549–556.
16. Bohm K, Vaillancourt C, Charette ML, Dunford J, Castrén M. In patients with out-of-hospital cardiac arrest, does the provision of dispatch cardiopulmonary resuscitation instructions as opposed to no instructions improve outcome: a systematic review of the literature. Resuscitation. 2011; 82(12):1490–1495.
crossref
17. Ro YS, Shin SD, Lee YJ, Lee SC, Song KJ, Ryoo HW, et al. Effect of dispatcher-assisted cardiopulmonary resuscitation program and location of out-of-hospital cardiac arrest on survival and neurologic outcome. Ann Emerg Med. 2017; 69(1):52–61.e1.
crossref
18. Martin GS, Mannino DM, Moss M. The effect of age on the development and outcome of adult sepsis. Crit Care Med. 2006; 34(1):15–21.
crossref
19. Tiruvoipati R, Ong K, Gangopadhyay H, Arora S, Carney I, Botha J. Hypothermia predicts mortality in critically ill elderly patients with sepsis. BMC Geriatr. 2010; 10:70.
crossref
20. Mosenthal AC, Lavery RF, Addis M, Kaul S, Ross S, Marburger R, et al. Isolated traumatic brain injury: age is an independent predictor of mortality and early outcome. J Trauma. 2002; 52(5):907–911.
crossref
21. Murphy DJ, Murray AM, Robinson BE, Campion EW. Outcomes of cardiopulmonary resuscitation in the elderly. Ann Intern Med. 1989; 111(3):199–205.
crossref
22. Wuerz RC, Holliman CJ, Meador SA, Swope GE, Balogh R. Effect of age on prehospital cardiac resuscitation outcome. Am J Emerg Med. 1995; 13(4):389–391.
crossref
23. Bunch TJ, White RD, Khan AH, Packer DL. Impact of age on long-term survival and quality of life following out-of-hospital cardiac arrest. Crit Care Med. 2004; 32(4):963–967.
crossref
24. Chan PS, Nallamothu BK, Krumholz HM, Spertus JA, Li Y, Hammill BG, et al. Long-term outcomes in elderly survivors of in-hospital cardiac arrest. N Engl J Med. 2013; 368(11):1019–1026.
crossref
25. Hüpfl M, Selig HF, Nagele P. Chest-compression-only versus standard cardiopulmonary resuscitation: a meta-analysis. Lancet. 2010; 376(9752):1552–1557.
crossref
26. Mitani Y, Ohta K, Yodoya N, Otsuki S, Ohashi H, Sawada H, et al. Public access defibrillation improved the outcome after out-of-hospital cardiac arrest in school-age children: a nationwide, population-based, Utstein registry study in Japan. Europace. 2013; 15(9):1259–1266.
crossref
27. National Emergency Medical Center. Installation status of automatic defibrillator (AED). 2014 Statistics Annual Report of Emergency Medicine. Seoul: National Emergency Medical Center;2015. p. 80–81.
28. Kitamura T, Iwami T, Kawamura T, Nitta M, Nagao K, Nonogi H, et al. Nationwide improvements in survival from out-of-hospital cardiac arrest in Japan. Circulation. 2012; 126(24):2834–2843.
crossref
29. Nichol G, Elrod JA, Becker LB. Treatment for out-of-hospital cardiac arrest: is the glass half empty or half full? Circulation. 2014; 130(21):1844–1846.
30. Hanif MA, Kaji AH, Niemann JT. Advanced airway management does not improve outcome of out-of-hospital cardiac arrest. Acad Emerg Med. 2010; 17(9):926–931.
31. Studnek JR, Thestrup L, Vandeventer S, Ward SR, Staley K, Garvey L, et al. The association between prehospital endotracheal intubation attempts and survival to hospital discharge among out-of-hospital cardiac arrest patients. Acad Emerg Med. 2010; 17(9):918–925.
crossref
32. Nagao T, Kinoshita K, Sakurai A, Yamaguchi J, Furukawa M, Utagawa A, et al. Effects of bag-mask versus advanced airway ventilation for patients undergoing prolonged cardiopulmonary resuscitation in pre-hospital setting. J Emerg Med. 2012; 42(2):162–170.
33. Shin SD, Ahn KO, Song KJ, Park CB, Lee EJ. Out-of-hospital airway management and cardiac arrest outcomes: a propensity score matched analysis. Resuscitation. 2012; 83(3):313–319.
crossref
34. Wang HE, Szydlo D, Stouffer JA, Lin S, Carlson JN, Vaillancourt C, et al. Endotracheal intubation versus supraglottic airway insertion in out-of-hospital cardiac arrest. Resuscitation. 2012; 83(9):1061–1066.
crossref
35. Hasegawa K, Hiraide A, Chang Y, Brown DF. Association of prehospital advanced airway management with neurologic outcome and survival in patients with out-of-hospital cardiac arrest. JAMA. 2013; 309(3):257–266.
crossref
36. Bernard SA, Gray TW, Buist MD, Jones BM, Silvester W, Gutteridge G, et al. Treatment of comatose survivors of out-of-hospital cardiac arrest with induced hypothermia. N Engl J Med. 2002; 346(8):557–563.
crossref
37. Nielsen N, Wetterslev J, Cronberg T, Erlinge D, Gasche Y, Hassager C, et al. Targeted temperature management at 33°C versus 36°C after cardiac arrest. N Engl J Med. 2013; 369(23):2197–2206.
crossref
38. Weisfeldt ML, Everson-Stewart S, Sitlani C, Rea T, Aufderheide TP, Atkins DL, et al. Ventricular tachyarrhythmias after cardiac arrest in public versus at home. N Engl J Med. 2011; 364(4):313–321.
crossref
39. Swor RA, Jackson RE, Compton S, Domeier R, Zalenski R, Honeycutt L, et al. Cardiac arrest in private locations: different strategies are needed to improve outcome. Resuscitation. 2003; 58(2):171–176.
crossref
40. Hasselqvist-Ax I, Riva G, Herlitz J, Rosenqvist M, Hollenberg J, Nordberg P, et al. Early cardiopulmonary resuscitation in out-of-hospital cardiac arrest. N Engl J Med. 2015; 372(24):2307–2315.
crossref
TOOLS
ORCID iDs

Yu Jin Lee
https://orcid.org/0000-0002-6301-1175

Seung-sik Hwang
https://orcid.org/0000-0002-1558-7831

Sang Do Shin
https://orcid.org/0000-0003-4953-2916

Seung Chul Lee
https://orcid.org/0000-0002-2135-9464

Kyoung Jun Song
https://orcid.org/0000-0002-0027-6352

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