Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation
Search: search_blue_button Advanced Search
Circulation. 2003;108:697-703
Published online before print August 4, 2003, doi: 10.1161/01.CIR.0000084545.65645.28
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Correction (v109,p3256)
Right arrow All Versions of this Article:
108/6/697    most recent
01.CIR.0000084545.65645.28v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nichol, G.
Right arrow Articles by Wells, G.A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nichol, G.
Right arrow Articles by Wells, G.A.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*CPR
*Emergency Medical Services
Related Collections
Right arrow Health policy and outcome research
Right arrow CPR and emergency cardiac care
Right arrow Arrhythmias, clinical electrophysiology, drugs

(Circulation. 2003;108:697.)
© 2003 American Heart Association, Inc.


Clinical Investigation and Reports

Cost Effectiveness of Defibrillation by Targeted Responders in Public Settings

G. Nichol, MPH, MD; T. Valenzuela, MPH, MD; D. Roe, PhD; L. Clark, RN, MA; E. Huszti, MSc; G.A. Wells, PhD

From the Ottawa Health Research Institute (G.N., E.H., G.A.W.) and Department of Epidemiology and Community Medicine (G.N., G.A.W.), University of Ottawa, Ottawa, Canada; Department of Emergency Medicine (T.V., L.C.), University of Arizona, Tucson; and Division of Epidemiology and Biostatistics (D.R.), College of Public Health, University of Arizona, Tucson.

Correspondence to Dr Graham Nichol, F699 Clinical Epidemiology Program, Ottawa Health Research Institute, Ottawa Hospital, 1053 Carling Ave, Ottawa, Ontario K1Y 4E9, Canada.

Received July 9, 2002; de novo received December 23, 2002; revision received May 6, 2003; accepted May 7, 2003.


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowConclusion
down arrowAppendix
down arrowReferences
 
Background— Out-of-hospital cardiac arrest is frequent and has poor outcomes. Defibrillation by trained targeted nontraditional responders improves survival versus historical controls, but it is unclear whether such defibrillation is a good value for the money. Therefore, this study estimated the incremental cost effectiveness of defibrillation by targeted nontraditional responders in public settings by using decision analysis.

Methods and Results— A Markov model evaluated the potential cost effectiveness of standard emergency medical services (EMS) versus targeted nontraditional responders. Standard EMS included first-responder defibrillation followed by advanced life support. Targeted nontraditional responders included standard EMS supplemented by defibrillation by trained lay responders. The analysis adopted a US societal perspective. Input data were derived from published or publicly available data. Future costs and effects were discounted at 3%. Monte Carlo simulation and sensitivity analyses assessed the robustness of results. Standard EMS had a median of 0.47 (interquartile range [IQR]=0.32 to 0.69) quality-adjusted life years and a median of $14 100 (IQR=$8600 to $21 900) costs per arrest. Targeted nontraditional responders in casinos had an incremental cost of a median $56 700 (IQR=$44 100 to $77 200) per additional quality-adjusted life year. The results were sensitive to changes in time to defibrillation, incidence of arrest, and number of devices required to implement rapid defibrillation.

Conclusions— Where cardiac arrest is frequent and response time intervals are short, rapid defibrillation by targeted nontraditional responders may be a good value for the money compared with standard EMS. The incidence of arrest should be considered when choosing locations to implement public access defibrillation.


Key Words: heart arrest • defibrillation • cardiopulmonary resuscitation • death, sudden


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowConclusion
down arrowAppendix
down arrowReferences
 
Out-of-hospital sudden cardiac arrest affects 350 000 to 450 000 Americans annually.1–3 Survival after cardiac arrest is poor.4,5 Public access defibrillation is a novel treatment for cardiac arrest that includes training and equipping targeted nontraditional responders to defibrillate.6–8 Defibrillation by such responders has a high survival-to-discharge rate after cardiac arrest.9 It is unclear whether such programs are of sufficient value for the money expenditure to justify broad implementation.

Economic evaluation of an intervention assesses its effectiveness and costs so that decision makers can decide whether it is a good value for the money. Therefore, this analysis estimated the incremental cost effectiveness of defibrillation by targeted nontraditional responders.


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowConclusion
down arrowAppendix
down arrowReferences
 
Interventions
We considered treatment of cardiac arrest by emergency medical services (EMS) including first-responder defibrillation followed by advanced life support or by EMS supplemented by targeted nontraditional responders. The latter was evaluated in a cohort study in 65 gaming establishments.9 Participating security guards had current cardiopulmonary certification. Training in defibrillation was conducted by 2 instructors and lasted up to 6 hours. Casinos were encouraged to place sufficient defibrillators on scene to ensure that no more than 3 minutes elapsed from the time of collapse to the time of defibrillation.

Input Data
Survival to Discharge
Input data for the decision model were obtained from publicly available data (Table 1 and www.ohri.ca/coregroup/defib1 [Table 4]). The effectiveness of defibrillation was estimated by substituting observed response-time intervals9 into functions that estimated as a function of response time the probability that the initial rhythm would be ventricular fibrillation10 and the probability of survival to discharge after ventricular fibrillation.11 Because there were no control data to estimate survival with EMS alone, time to CPR in the control group was based on that in the intervention group.


View this table:
[in this window]
[in a new window]
 
TABLE 1. Input Data for Short-Term Events


View this table:
[in this window]
[in a new window]
 
TABLE 4. Input Data for Long-Term Events (www.ohri.ca/coregroup/defib1)

Other Outcomes
Valuations of the quality of life of cardiac arrest survivors were derived from a cohort study.12 Survival after insertion of an implantable cardioverter defibrillator was derived from a randomized trial.13 Chances of complications after insertion of an implantable cardioverter defibrillator were based on published estimates.14

Costs
The economic perspective was that of society. Costs were expressed in 2003 US dollars (Table 1). The cost of an automatic external defibrillator (AED) was depreciated over its anticipated life span (Medtronic Physio-Control Inc; lifespan as of May 31, 2002). This annual device cost was multiplied by the number of devices required and then divided by the annual incidence of arrest in each setting to account for the density of AEDs required and incidence of arrest in each public setting. For defibrillation in casinos, 320 devices were used to treat 148 cases of arrest during an average of 32 months of follow-up.9 For defibrillation in other settings, the numbers of devices and site incidence were based on published data.15

Costs of targeted nontraditional responder defibrillation included the wages of instructors for each class and number of classes required to train all responders, adjusted for the occupational life span of security guards relative to the duration of the cohort study (www.ohri.ca/coregroup/defib2 [Table 5]). Retraining costs were estimated by similar methods (www.ohri.ca/coregroup/defib3 [Table 6]). Costs of hospitalization were derived from a cohort of cardiac arrest patients treated at a single center, stratified by whether patients survived to discharge. All costs were adjusted for inflation by using the US Consumer Price Index (http://stats.bls.gov/cpi, accessed on March 30, 2003).


View this table:
[in this window]
[in a new window]
 
TABLE 5. Cost of Training Security Guards, per AED (www.ohri.ca/coregroup/defib2)


View this table:
[in this window]
[in a new window]
 
TABLE 6. Costs of Retraining Security Guards to Defibrillate, per AED (www.ohri.ca/defib3)

Structure of Decision Model
The analysis considered the lifetime horizon, as recommended.16 A state-transition Markov model compared costs and outcomes after cardiac arrest treated by each intervention. According to the model, patients either died before arriving at the hospital, died in the hospital, or lived to discharge (Figure 1). Neurologically impaired patients required long-term care; neurologically intact patients received an implantable cardioverter defibrillator (Figure 2). Such patients experienced benefits or complications of the device, with associated costs and effects.



View larger version (25K):
[in this window]
[in a new window]
 
Figure 1. Decision model for short-term events after out of hospital cardiac arrest.



View larger version (15K):
[in this window]
[in a new window]
 
Figure 2. Decision model for long-term events after implantable cardioverter defibrillator (ICD) insertion. Rx indicates treatment.

Decision analyses were performed with DATA Pro software (TreeAge Software, Inc) and Excel 2000 software (Microsoft Inc). Statistical analyses were performed with S Plus (Insightful Inc).

Assumptions
We made several assumptions about the costs of the defibrillation program because these costs are unknown. First, program implementation would not change the costs of treatment of cardiac arrest by EMS. Second, responders would not be compensated for time spent being trained. Because such training would occur during their regular duties, they would receive no additional wages. Third, there would be a 1-minute delay between EMS arrival on scene and defibrillation with standard EMS. Fourth, all neurologically intact (ie, cerebral performance category=1) survivors would receive implantable defibrillators. Although not all survivors of cardiac arrest receive implantable defibrillators,17 clinical trials have demonstrated that implantable defibrillators decrease mortality in such patients.13,18–20 Finally, age-specific mortality due to unrelated causes was based on life tables.21

Uncertainty and Variability Analyses
The analysis distinguished between parameter uncertainty (ie, variation in costs and effects due to sampling and measurement error) and variability (ie, heterogeneity in costs and effects between groups of patients with systematic differences in cost or effects). Uncertainty was assessed by using probabilistic Monte Carlo simulation.22,23 Empiric cost and time variables were assigned normal distributions. Empiric probability variables were assigned ß distributions.22 Variables without a known distributional form (ie, those with assumed values or those with values based on a range of published reports) were assigned triangular distributions.24 Because there is no absolute cost-effectiveness criterion,25 the cumulative distribution of the incremental cost effectiveness of security guard defibrillation was plotted by using cost-effectiveness acceptability curves.26–28

Variability was assessed by using sensitivity analyses. We substituted the upper and lower limits of the value of each variable in the decision model while holding all other values constant (Table 1). 29,30 For empirical variables, these limits were the 95% confidence limits for each variable. For assumed variables (eg, overall survival with standard EMS, cost of a defibrillator, cost of the defibrillator program, and discount rate), these limits were based on reasonable possible limits (ie, ±50%). Threshold analyses identified the value of each variable across its range, if any, at which one should be indifferent between standard EMS or public access defibrillation (ie, the incremental costs per quality-adjusted life year was $100 000).30

Multiway sensitivity analyses were also performed. Because the effectiveness of both interventions may be correlated, we varied simultaneously the probability of survival to discharge with standard EMS, and relative risk of mortality with targeted nontraditional defibrillation. For the baseline analysis, these values correspond to 9.9% and 0.83 (ie, 74.4%/90.1%). Other sensitivity analyses considered defibrillation in public settings adjusted by incidence of arrest and number of defibrillators required because these factors are highly variable across public settings.15 Finally, sensitivity analyses considered the incremental cost effectiveness of targeted nontraditional responders when the responders are paid to be trained.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowConclusion
down arrowAppendix
down arrowReferences
 
Effectiveness of Standard EMS
In our cohort study of defibrillation by security guards in casinos, mean time from collapse to CPR was 2.9 minutes; mean time to EMS arrival was 9.8 minutes.9 If defibrillation were not performed by EMS until 10.8 minutes, the estimated survival to discharge with EMS was 9.9%.

Effectiveness of Public Access Defibrillation
In our cohort study, 148 patients had cardiac arrest in gaming establishments; 56 (37.8%) survived to discharge.9 Mean time to CPR was 2.9 minutes; mean time to defibrillation by security guards was 4.4 minutes. Therefore, the estimated survival to discharge was 25.6%.

Cost Effectiveness of Defibrillation by Targeted Nontraditional Responders
For cardiac arrest in casinos, standard EMS had a median of 0.47 (interquartile range [IQR]=0.32 to 0.69) discounted quality-adjusted life years and a median of $14 100 (IQR=$8600 to $21 900) in lifetime costs (Table 2). Defibrillation by targeted nontraditional responders had a median of 0.92 (IQR=0.70 to 1.19) discounted quality-adjusted life years and a median of $40 700 (IQR=$33 000 to $49 600) in lifetime costs. Compared with standard EMS, defibrillation by targeted nontraditional responders had an incremental cost per additional quality-adjusted life year of median $56 700 (IQR=$44 100 to $77 200). The incremental cost per additional quality-adjusted life year was less than $100 000 in 86% of Monte Carlo simulations (Figure 3).


View this table:
[in this window]
[in a new window]
 
TABLE 2. Potential Cost Effectiveness of Defibrillation by Security Guards in Casinos



View larger version (14K):
[in this window]
[in a new window]
 
Figure 3. Cumulative distribution of incremental cost effectiveness of defibrillation by security guards.

Variability Analyses
The incremental cost effectiveness of targeted nontraditional responders was sensitive to reasonable changes in values for time to defibrillation by EMS providers or by nontraditional responders. If EMS providers defibrillate within 6.9 minutes or if security guards do not defibrillate within 8.4 minutes, then EMS care is as good a value as defibrillation by targeted nontraditional responders (ie, incremental cost is less than $100 000 per quality-adjusted life year).

Public access defibrillation was not a good value for the money in settings with a low incidence of cardiac arrest relative to an annual site incidence of 85.3% (148 cases observed in 65 gaming establishments over 32 months=85% chance that an arrest will be observed annually [Table 3]).


View this table:
[in this window]
[in a new window]
 
TABLE 3. Potential Cost Effectiveness of Defibrillation in Various Public Settings

When the costs of paying wages to responders while being trained were included, defibrillation by targeted nontraditional responders cost more than $100 000 per additional quality-adjusted life year (details available from authors).

In summary, the results were sensitive to large changes in the time to defibrillation with standard EMS or nontraditional responders, decreases in the incidence of arrest, and whether responders are compensated for their time spent being trained.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowConclusion
down arrowAppendix
down arrowReferences
 
Our analysis shows that defibrillation by targeted nontraditional responders may be a good value for the money if cardiac arrest is frequent, devices and trained users are available, and time to treatment is short. However, it is unlikely to be a good value if cardiac arrest is infrequent or there is little difference in time to defibrillation between EMS providers and targeted responders. Therefore, decisions about implementation of a defibrillation program should consider the incidence of cardiac arrest, anticipated time to defibrillation with nontraditional responders, and survival achieved by the existing EMS system.

These results are consistent with previous analyses of cardiac arrest interventions.31–33 However, the previous analyses considered the initial but not the future costs, considered improvements to existing EMS systems rather than introduction of enhanced defibrillation, underestimated the incremental costs of defibrillation by estimating lower costs of aftercare compared with the present analysis, underestimated long-term survival by not considering the benefits of implantable defibrillators in survivors of cardiac arrest, and overestimated survival to discharge by considering outcomes after ventricular fibrillation rather than after all cases of cardiac arrest.

The present results differ from those of a recent Scottish study that underestimated survival with lay responder defibrillation by assuming that it would be no greater than that obtained by early ambulance defibrillation.34 The Scottish analysis estimated the predicted increase in survival from lay responder defibrillation as less than that achievable through expansion of first-responder defibrillation to include nonambulance personnel such as police or firefighters. However, these results are not generalizable because most North American emergency response systems already have first-responder defibrillation programs in place. Despite these limitations, the authors concluded that it was reasonable to place defibrillators in public places that were frequented by large numbers of susceptible people.

The results of this analysis should be interpreted cautiously. However, the incremental cost per quality-adjusted life year is similar to that of other common medical interventions.35 If public access defibrillation is as efficacious and inexpensive as in this study, then it will be good value for money. The challenge will be to ensure that defibrillation can be achieved quickly in settings where cardiac arrest is less common and responders less vigilant than in casinos.

Our estimate of the effectiveness of public access defibrillation was derived from a study of defibrillation by security guards in gaming establishments. Casinos have unique characteristics that make them ideal settings for public access defibrillation programs, as follows: security officers are visible from any point in the casino, monitored security cameras scan public areas to detect unusual activity, and high levels of security staffing allow one officer to initiate CPR while a second officer retrieves a defibrillator from a nearby location. The high rate of survival observed with the defibrillation program in Chicago airports may also be unique because removal of an AED from its covered box activated the EMS response.36 It remains unclear whether such benefits will be observed when public access defibrillation is implemented in settings where times to defibrillation are longer. Therefore, we underestimated survival to discharge in the intervention group to bias the results against the alternative hypothesis. Controlled studies are underway to demonstrate whether public access defibrillation is an effective and cost-effective treatment.37

There are several limitations to this analysis. First, the cohort study of defibrillation in casinos observed a higher incidence of ventricular arrhythmia than reported in other recent studies.38 Although this is likely attributable to the shorter response time interval observed in casinos than elsewhere, it is plausible that the experience observed with the selected cases and response program in casinos may not be applicable to other settings. If so, our analysis overestimates survival and underestimates the incremental cost of placing defibrillators in public settings.

Second, the input data were derived from several sources and may be confounded by information that was not incorporated into the model. For example, the effectiveness of resuscitation was not adjusted for the patient’s comorbid illness39 or type of CPR performed at the scene.40 Although individuals are less likely to survive cardiac arrest if they have comorbid illness or receive ineffective CPR, no data were available to define whether either was so in our study.

Third, most input data for this analysis were derived from cohort studies that are more susceptible to bias than experimental designs. Fourth, we assumed that EMS costs were constant, although implementation of public access defibrillation will increase EMS costs if the number of patients with circulation restored in the field increases.

Finally, it is unlikely that the relative benefit of defibrillation will be constant as the proportion of patients who survive with standard EMS increases. Therefore, as results from trials of enhanced defibrillation become available, our analysis should be revised to reflect better estimates of the true effectiveness and costs of the program.


*    Conclusion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*Conclusion
down arrowAppendix
down arrowReferences
 
Implementation of public access defibrillation in a setting with a high incidence of sudden cardiac arrest and vigilant responders is associated with an incremental cost-effectiveness ratio similar to those of other common medical interventions. Decision makers should consider the antici- pated frequency of cardiac arrest and time to defibrillation when selecting sites to implement public access defibrillation.


*    Appendix
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
up arrowConclusion
*Appendix
down arrowReferences
 
Tables 4 through 6UpUp show input data for the decision model used in this study.


*    Footnotes
 
Presented in part at the American Heart Association Scientific Sessions, Atlanta, Ga, November 1999; the Fifth Wolf Creek Conference, Palm Springs, Calif, June 2001; and the American Heart Association Scientific Sessions, Chicago, Ill, November 2002.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
up arrowConclusion
up arrowAppendix
*References
 
1. Engelstein ED, Zipes DP. Sudden cardiac death. In: Alexander RW, Schalnt RC, Fuster V, eds. The Heart, Arteries, and Veins. New York, NY: McGraw-Hill; 1998: 1081–1112.

2. Myerburg RJ, Castellanos A. Cardiac arrest and sudden death. In: Braunwald E, ed. Heart Disease: A Textbook of Cardiovascular Medicine. Philadelphia, Pa: WB Saunders; 1997: 742–779.

3. Zheng ZJ, Croft JB, Giles WH, et al. Sudden cardiac death in the United States, 1989 to 1998. Circulation. 2001; 104: 2158–2163.[Abstract/Free Full Text]

4. Nichol G, Stiell IG, Laupacis A, et al. A Cumulative metaanalysis of the effectiveness of defibrillator-capable emergency medical services for victims of out-of-hospital cardiac arrest. Ann Emerg Med. 1999; 34: 517–525.[CrossRef][Medline] [Order article via Infotrieve]

5. Eisenberg MS, Horwood BT, Cummins RO, et al. Cardiac arrest and resuscitation: a tale of 29 cities. Ann Emerg Med. 1990; 19: 179–186.[CrossRef][Medline] [Order article via Infotrieve]

6. Weisfeldt ML, Kerber RE, McGoldrick RP, et al. American Heart Association Report on the Public Access Defibrillation Conference, December 8–10, 1994. Circulation. 1995; 92: 2740–2747.[Free Full Text]

7. Weisfeldt ML, Kerber RE, McGoldrick RP, et al. Public access defibrillation: a statement for health care professionals from the American Heart Association Task Force on Automatic External Defibrillation. Circulation. 1995; 92: 2763.[Free Full Text]

8. Nichol G, Hallstrom AP, Kerber R, et al. American Heart Association report on the second public access defibrillation conference, April 17–19 1997. Circulation. 1998; 97: 1309–1314.[Free Full Text]

9. Valenzuela TD, Roe DJ, Nichol G, et al. Outcomes of rapid defibrillation by security officers after cardiac arrest in casinos. N Engl J Med. 2000; 343: 1206–1209.[Abstract/Free Full Text]

10. Holmberg M, Holmberg S, Herlitz J. An alternate estimate of the disappearance rate of ventricular fibrillation in out-of-hospital cardiac arrest in Sweden. Resuscitation. 2001; 49: 219–220.[CrossRef][Medline] [Order article via Infotrieve]

11. Valenzuela T, Roe DJ, Cretin S, et al. Estimating effectiveness of cardiac arrest interventions: a logistic regression survival model. Circulation. 1997; 96: 3308–3313.[Abstract/Free Full Text]

12. Nichol G, Stiell IG, Hebert P, et al. What is the quality of life of survivors of cardiac arrest? A prospective study. Acad Emerg Med. 1999; 6: 95–102.[Medline] [Order article via Infotrieve]

13. The Antiarrhythmics Versus Implantable Defibrillators (AVID) Investigators. A comparison of antiarrhythmic drug therapy with implantable defibrillators in patients resuscitated from near-fatal ventricular arrhythmias. N Engl J Med. 1997; 33: 1576–1583.

14. Owens DK, Sanders GD, Harris RA, et al. Cost-effectiveness of implantable cardioverter-defibrillators relative to amiodarone for prevention of sudden cardiac death. Ann Intern Med. 1997; 126: 1–12.[Abstract/Free Full Text]

15. Becker L, Eisenberg M, Fahrenbruch C, et al. Public locations of cardiac arrest: implications for public access defibrillation. Circulation. 1998; 97: 2106–2109.[Abstract/Free Full Text]

16. Gold MR, Siegel JE, Russell LB, et al. Cost-Effectiveness in Health and Medicine. New York: Oxford University Press; 1996.

17. Kliegel A, Eisenburger P, Sterz F, et al. Cardiac arrest survivors who do not get implanted cardioverter defibrillators—automated external defibrillators could save their lives during a rearrest. Acad Emerg Med. 2001; 8: 432.

18. Moss AJ, Hall WJ, Cannom DS, et al. Improved survival with an implanted defibrillator in patients with coronary disease at high risk for ventricular arrhythmia. N Engl J Med. 1997; 335: 1933–1940.

19. Connolly SJ, Gent M, Roberts RS, et al. Canadian implantable defibrillator study (CIDS): a randomized trial of the implantable cardioverter defibrillator against amiodarone. Circulation. 2000; 101: 1297–1302.[Abstract/Free Full Text]

20. Connolly SJ, Hallstrom AP, Cappato R, et al. Meta-analysis of the implantable cardioverter defibrillator secondary prevention trials. Eur Heart J. 2000; 21: 2071–2078.[Abstract/Free Full Text]

21. US Decennial Life Tables for 1998. Hyattsville, Md: National Center for Health Statistics, Centers for Disease Control and Prevention, US Department of Health and Human Services; 2001.

22. Doubilet P, Begg CB, Weinstein MC, et al. Probabilistic sensitivity analysis using Monte Carlo simulation: a practical approach. Med Decis Making. 1985; 5: 157–177.[Free Full Text]

23. Critchfield GC, Willard KE. Probabilistic analysis of decision trees using Monte Carlo simulation. Med Decis Making. 1986; 6: 86–92.

24. Christensen R. Data Distributions: A Statistical Handbook. Lincoln, Mass: Entropy Limited; 1989.

25. Hirth RA, Chernew ME, Miller E, et al. Willingness to pay for a quality-adjusted life year: in search of a standard. Med Decis Making. 2000; 20: 332–342.[Abstract/Free Full Text]

26. van Hout BA, al Maiwenn J, Gordon GS, et al. Costs, effects and C/E ratios alongside a clinical trial. Health Econ. 1994; 3: 309–319.[Medline] [Order article via Infotrieve]

27. Lothgren M, Zethraeus N. Definition, interpretation and calculation of cost-effectiveness acceptability curves. Health Econ. 2000; 9: 623–630.[CrossRef][Medline] [Order article via Infotrieve]

28. Briggs A, Fenn P. Confidence intervals or surfaces? Uncertainty on the cost-effectiveness plane. Health Econ. 1998; 7: 723–740.[CrossRef][Medline] [Order article via Infotrieve]

29. Briggs A, Sculpher M, Buxton M. Uncertainty in the economic evaluation of health care technologies: the role of sensitivity analysis. Health Econ. 1994; 3: 95–104.[Medline] [Order article via Infotrieve]

30. Sox HC Jr, Blatt MA, Higgins MC, et al. Medical Decision Making. Toronto, Ontario, Canada: Butterworth; 1988.

31. Nichol G, Hallstrom A, Ornato JP, et al. Potential cost-effectiveness of public access defibrillation in the United States. Circulation. 1998; 97: 1315–1320.[Abstract/Free Full Text]

32. Nichol G, Laupacis A, Stiell I, et al. A cost-effectiveness analysis of potential improvements to emergency medical services for victims of out-of-hospital cardiac arrest. Ann Emerg Med. 1996; 27: 711–720.[CrossRef][Medline] [Order article via Infotrieve]

33. Groeneveld PW, Kwong JL, Liu Y, et al. Cost-effectiveness of automated external defibrillators on airlines. JAMA. 2001; 286: 1482–1489.[Abstract/Free Full Text]

34. Pell JP, Sirel JM, Marsden AK, et al. Potential impact of public access defibrillators on survival after out of hospital cardiopulmonary arrest: retrospective cohort study. BMJ. 2002; 325: 515.[Abstract/Free Full Text]

35. Mason J, Drummond M, Torrance G. Some guidelines on the use of cost effectiveness league tables. BMJ. 1993; 306: 570–572.[Abstract/Free Full Text]

36. Caffrey SL, Willoughby PJ, Pepe PE, et al. Public use of automated external defibrillators. N Engl J Med. 2002; 347: 1242–1247.[Abstract/Free Full Text]

37. Anonymous. The Public Access Defibrillation Clinical Trial Study Design and Rationale. PAD Investigators. Resuscitation. 2002; 56: 135–147.

38. Cobb LA, Fahrenbruch CE, Olsufka M, et al. Changing incidence of out-of-hospital ventricular fibrillation, 1980–2000. JAMA. 2002; 288: 3008–3013.[Abstract/Free Full Text]

39. Hallstrom AP, Cobb LA, Yu BH. Influence of comorbidity on the outcome of patients treated for out-of- hospital ventricular fibrillation. Circulation. 1996; 93: 2019–2022.[Abstract/Free Full Text]

40. Hallstrom A, Cobb L, Johnson E, et al. Cardiopulmonary resuscitation by chest compression alone or with mouth- to-mouth ventilation. N Engl J Med. 2000; 342: 1546–1553.[Abstract/Free Full Text]

41. Gold MR, Siegel JE, Russell LB, et al. Appendix A: Summary Recommendations. In: Gold MR, Siegel JE, Russell LB, Weinstein MC, editors. Cost-Effectiveness in Health and Medicine. New York, NY: Oxford University Press; 1996: 425.

42. Ebell MH, Kruse JA. A proposed model for the cost of cardiopulmonary resuscitation. Med Care. 1994; 32: 640–649.[CrossRef][Medline] [Order article via Infotrieve]




This article has been cited by other articles:


Home page
Circ Cardiovasc Qual OutcomesHome page
R. M. Merchant, L. B. Becker, B. S. Abella, D. A. Asch, and P. W. Groeneveld
Cost-Effectiveness of Therapeutic Hypothermia After Cardiac Arrest
Circ Cardiovasc Qual Outcomes, September 1, 2009; 2(5): 421 - 428.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
F. Folke, F. K. Lippert, S. L. Nielsen, G. H. Gislason, M. L. Hansen, T. K. Schramm, R. Sorensen, E. L. Fosbol, S. S. Andersen, S. Rasmussen, et al.
Location of Cardiac Arrest in a City Center: Strategic Placement of Automated External Defibrillators in Public Locations
Circulation, August 11, 2009; 120(6): 510 - 517.
[Abstract] [Full Text] [PDF]


Home page
AJPHHome page
P. J. Neumann, P. D. Jacobson, and J. A. Palmer
Measuring the Value of Public Health Systems: The Disconnect Between Health Economists and Public Health Practitioners
Am J Public Health, December 1, 2008; 98(12): 2173 - 2180.
[Abstract] [Full Text] [PDF]


Home page
Eur Heart JHome page
R. Cappato, A. Curnis, P. Marzollo, G. Mascioli, T. Bordonali, S. Beretti, F. Scalfi, L. Bontempi, A. Carolei, G. Bardy, et al.
Prospective assessment of integrating the existing emergency medical system with automated external defibrillators fully operated by volunteers and laypersons for out-of-hospital cardiac arrest: the Brescia Early Defibrillation Study (BEDS)
Eur. Heart J., March 1, 2006; 27(5): 553 - 561.
[Abstract] [Full Text] [PDF]


Home page
BMJHome page
S. P Conroy, T. Luxton, R. Dingwall, R. H Harwood, and J. R F Gladman
Cardiopulmonary resuscitation in continuing care settings: time for a rethink?
BMJ, February 25, 2006; 332(7539): 479 - 482.
[Full Text] [PDF]


Home page
JAMAHome page
H. England, P. S. Weinberg, and N. A. M. Estes III
The Automated External Defibrillator: Clinical Benefits and Legal Liability
JAMA, February 8, 2006; 295(6): 687 - 690.
[Full Text] [PDF]


Home page
CirculationHome page
Part 4: Adult Basic Life Support
Circulation, December 13, 2005; 112(24_suppl): IV-19 - IV-34.
[Full Text] [PDF]


Home page
CirculationHome page
A. P. van Alem, M. G.W. Dijkgraaf, J. G.P. Tijssen, and R. W. Koster
Health System Costs of Out-of-Hospital Cardiac Arrest in Relation to Time to Shock
Circulation, October 5, 2004; 110(14): 1967 - 1973.
[Abstract] [Full Text] [PDF]


Home page
ANN INTERN MEDHome page
G. Nichol, P. Kaul, E. Huszti, and J. F.P. Bridges
Cost-Effectiveness of Cardiac Resynchronization Therapy in Patients with Symptomatic Heart Failure
Ann Intern Med, September 7, 2004; 141(5): 343 - 351.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
H. M. Krumholz
The year in health care delivery and outcomes research
J. Am. Coll. Cardiol., September 1, 2004; 44(5): 1130 - 1136.
[Full Text] [PDF]


Home page
Eur Heart JHome page
S. G. Priori, L. L. Bossaert, D. A. Chamberlain, C. Napolitano, H. R. Arntz, R. W. Koster, K. G. Monsieurs, A. Capucci, and H. J. Wellens
ESC-ERC recommendations for the use of automated external defibrillators (AEDs) in Europe
Eur. Heart J., March 1, 2004; 25(5): 437 - 445.
[Full Text] [PDF]


Home page
BMJHome page
Minerva
BMJ, August 23, 2003; 327(7412): 458 - 458.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Correction (v109,p3256)
Right arrow All Versions of this Article:
108/6/697    most recent
01.CIR.0000084545.65645.28v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nichol, G.
Right arrow Articles by Wells, G.A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nichol, G.
Right arrow Articles by Wells, G.A.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*CPR
*Emergency Medical Services
Related Collections
Right arrow Health policy and outcome research
Right arrow CPR and emergency cardiac care
Right arrow Arrhythmias, clinical electrophysiology, drugs