Abstract
Between 1997 and 2011, there was a nearly 50 percent reduction in US emergency department mortality rates for adults. The etiology for this trend is likely multifactorial and may be related to advances in palliative, prehospital, and emergency care.
The core mission of emergency medicine is to provide immediate care to acutely ill and injured patients. The emergency department (ED) also serves as a safety net, allowing patients to access care when other avenues fail.[1] Although not an ideal setting, the ED is often where end-of-life care occurs for patients with either unexpected fatal conditions or acute complications of terminal illness. In fact, over half of older Americans visit the ED in their last month of life.[2,3] Such visits are taxing for patients, caregivers, and providers and contribute to high end-of-life health care costs. The following question thus naturally arises: How often are adult patients dying in the ED?
Despite existing literature on the relationship between ED care and subsequent mortality for selected conditions, little is known about trends in mortality in the ED. Recent efforts in the fields of palliative and prehospital care have sought to shift the locus of death, when feasible, to more appropriate settings. Meanwhile, recent advances in emergency critical care have sought to decrease mortality from immediately life-threatening conditions. Between 1997 and 2011, there was a nearly 50 percent reduction in US adult ED mortality rates (Exhibit 1). Assessing trends in ED mortality rates may help illuminate the impact of these efforts by offering a perspective on where patients are dying. Thus, we sought to describe national trends in US ED mortality and visit rates and to delineate demographic and clinical factors associated with ED death.
Exhibit 1. Trends in emergency department and inpatient hospital mortality, 1997–2011.

Source/Notes: SOURCE Authors’ analysis of data for 1997–2011 from the National Hospital Ambulatory Medical Care Survey (NHAMCS). NOTES Mortality rates are per thousand US adults ages eighteen and older. NHAMCS data for inpatient hospital mortality became available only starting in 2005. Appendix Exhibit 1 (see Note 4 in text) is a table with pertinent data points, standard errors, confidence intervals, and other statistical data for this Exhibit.
Study Data And Methods
Data
To evaluate adult ED mortality rates in the United States, we analyzed ED visit data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 1997 to 2011, the most recent year for which data are available. Detailed information about NHAMCS and our study methods can be found in the online Appendix.[4] Briefly, NHAMCS is an annual survey of a national probability sample of nonfederal, general, and short-stay hospitals conducted by the National Center for Health Statistics (NCHS). A multistage sampling procedure facilitates unbiased national estimates of ED visits, and the survey also includes data on patient demographic characteristics, reasons for the visits, and mortality.[5–9] This study was deemed exempt from review by the Institutional Review Board of [please provide].
Analyses
Our analysis included all ED visits by adults ages eighteen and older throughout the fifteen-year study period. Data were stratified by age, sex, race/ethnicity, insurance status, triage category, urbanicity, geographic region, and whether there had been a recent ED visit or hospitalization.
The primary outcome was annual ED mortality rate per thousand adults, calculated using denominator estimates from the US Census Bureau. NHAMCS data abstractors grouped patients who died in the ED and those who were dead on arrival together for the period 1997–2006 but coded them separately for the period 2007–11. However, there were no definitional changes to either of these terms.[6–9] Thus, consistent with previous literature [1] and NCHS standards, we included in ED deaths both patients who died in the ED and those who were dead on arrival.
We report unweighted visit and mortality data, survey-weighted national estimates, and 95 percent confidence intervals. To evaluate longitudinal changes, we performed survey-weighted trend analysis using weighted least squares regression. For comparison, we also analyzed inpatient hospital mortality rates from 2005 (when these data became available) to 2011. We additionally examined primary “reason for visit” data associated with ED mortality. Finally, we evaluated trends in patient and visit characteristics over the entire study period, specifically assessing changes in ED visit rates and the proportion of ED visits by characteristic.
Limitations
Our study had several limitations. First, while we propose possible explanations for our findings, our study generated only hypotheses. We were unable to test which causative factors were responsible for the observed trends.
Second, as with most research data sets, NHAMCS is imperfect and likely has inherent limitations related to, for example, changes in data abstraction or coding practices over time. Our methodology follows suggested NCHS guidelines to limit potential shortcomings and is detailed in the Appendix.[4] Moreover, NHAMCS is the largest nationally representative data set that provides epidemiologic data on emergency conditions in the United States, and it remains one of the most widely used resources for research on emergency medicine health services.
Study Results
We examined 367,618 observations, which represented 1.3 billion ED visits across the United States. Compared to patients who survived to ED discharge or hospital admission, those who suffered ED death were on average older, more likely to be male and white, and had more severe triage acuity scores. In addition, among patients who visited a rural ED or an ED in the southern region of the country, the percentage who died was higher than the percentage who survived (Exhibit 2).
Exhibit 2.
Characteristics of US adults ages 18 and older who visited a hospital emergency department (ED), 1977–2011
| Dead on arrival or died in ED | Survived ED visit | |||||
|---|---|---|---|---|---|---|
| Unweighted no. | Weighted % | 95% CI | Unweighted no. | Weighted % | 95% CI | |
| Total | 974 | 0.3 | 366,644 | 99.7 | ||
| Age (years)**** | ||||||
| 18–44 | 154 | 14.7 | 11.7, 17.7 | 201,007 | 54.7 | 54.2, 55.2 |
| 45–64 | 271 | 26.8 | 23.3, 30.3 | 94,770 | 25.6 | 25.3, 25.9 |
| 65–79 | 278 | 30.7 | 27.2, 34.2 | 43,088 | 11.9 | 11.6, 12.2 |
| 80 or older | 271 | 27.7 | 24.0, 31.4 | 27,779 | 7.7 | 7.4, 8.0 |
| Sex**** | ||||||
| Female | 413 | 44.0 | 40.1, 47.9 | 204,028 | 56.2 | 55.9, 56.5 |
| Male | 561 | 56.0 | 52.1, 59.9 | 162,616 | 43.8 | 43.5, 44.1 |
| Race/ethnicity**** | ||||||
| Non-Hispanic white | 671 | 71.3 | 67.0, 75.6 | 231,889 | 66.2 | 64.5, 67.9 |
| Non-Hispanic black | 193 | 20.1 | 16.4, 23.8 | 78,500 | 20.7 | 19.1, 22.3 |
| Hispanic | 79 | 6.4 | 4.4, 8.4 | 43,112 | 10.4 | 9.4, 11.4 |
| Other | 31 | 2.2 | 1.0, 3.4 | 13,143 | 2.7 | 2.2, 3.2 |
| Insurance**** | ||||||
| Private | 178 | 17.3 | 14.4, 20.2 | 121,152 | 33.9 | 33.1, 34.7 |
| Medicare | 462 | 50.5 | 46.4, 54.6 | 75,991 | 21.2 | 20.6, 21.7 |
| Medicaid | 78 | 8.0 | 5.8, 10.2 | 61,955 | 15.4 | 14.7, 16.0 |
| Uninsured | 144 | 13.7 | 10.9, 16.4 | 64,928 | 18.3 | 17.5, 19.1 |
| Other | —a | —b | —b | 21,280 | 5.0 | 4.7, 5.4 |
| Missing or unknown | 83 | 7.3 | 5.3, 9.3 | 21,338 | 5.5 | 4.9, 6.1 |
| Triage category**** | ||||||
| Immediate or emergent | 696 | 72.1 | 68.1, 76.1 | 61,848 | 16.9 | 15.9, 17.9 |
| Urgent | 89 | 9.6 | 6.7, 12.5 | 136,574 | 37.4 | 36.2, 38.6 |
| Semi-urgent or nonurgent | 34 | 3.0 | 1.5, 4.6 | 110,708 | 30.3 | 28.9, 31.7 |
| Triage not conducted or unknown | 155 | 15.3 | 12.1, 18.5 | 57,514 | 15.3 | 13.8, 16.8 |
| Region*** | ||||||
| Northeast | 212 | 17.3 | 14.1, 20.5 | 92,942 | 19.6 | 17.2, 22.0 |
| Midwest | 212 | 23.8 | 19.9, 27.7 | 78,312 | 23.5 | 20.3, 26.7 |
| South | 395 | 45.0 | 40.1, 49.9 | 123,516 | 38.4 | 34.5, 42.3 |
| West | 155 | 13.8 | 11.1, 16.5 | 71,874 | 18.5 | 15.8, 21.2 |
| Metropolitan Statistical Area** | ||||||
| Urban | 807 | 77.0 | 69.7, 84.3 | 315,578 | 81.7 | 75.9, 87.5 |
| Rural | 167 | 23.0 | 15.7, 30.3 | 51,066 | 18.3 | 12.6, 24.0 |
| Seen by [please provide] within 72 hours before visitc**** | ||||||
| Yes | —a | —b | —b | 11,016 | 3.8 | 3.6, 4.0 |
| No | 561 | 76.4 | 71.5, 81.3 | 248,474 | 83.2 | 81.4, 85.0 |
| Unknown | 139 | 21.8 | 16.9, 26.7 | 37,484 | 13.0 | 11.2, 14.8 |
| Discharged from hospital within7 days before visitd*** | ||||||
| Yes | —a | —b | —b | 5,118 | 2.6 | 2.4, 2.8 |
| No | 206 | 47.8 | 40.6, 55.0 | 112,353 | 60.3 | 56.9, 63.7 |
| Unknown | 178 | 49.8 | 42.6, 57.0 | 66,699 | 37.1 | 33.7, 40.5 |
SOURCE Authors’ analysis of data for 1997–2011 from the National Hospital Ambulatory Medical Care Survey. NOTE CI is confidence interval.
Fewer than thirty visits.
Not reliable because thirty or fewer visits.
Data from 2001–11 only.
Data from 2005–11 only.
p < 0.05
p < 0.01
p < 0.001
ED mortality rates decreased from 1.48 per thousand in 1997 to 0.77 per thousand in 2011, a 48 percent reduction (Exhibit 1). There was no significant change in inpatient hospital mortality from 2005 to 2011, even though the rate peaked in 2009.
For 62.7 percent of the ED visits in which patients died, patients were noted to be in cardiopulmonary arrest, unconscious, or dead on arrival (data not shown). The most common reasons for an ED visit for the remaining patients who suffered ED death were shortness of breath (accounting for 8.3 percent of the visits), injury (5.1 percent), and chest pain (3.9 percent).
Visits by patients younger than sixty-five and by non-Hispanic black patients accounted for the greatest increase in ED visits from 1997 to 2011, after US population growth was controlled for (Exhibit 3). A lower proportion of ED visits were triaged as requiring immediate or emergent care in 2011 (13.2 percent) than in 1997 (22.7 percent) (Exhibit 4). Among adults with Medicare or Medicaid, the ED visit rate per thousand enrollees also increased substantially between 1997 and 2011, from 405.08 to 534.60 and from 646.15 to 863.37, respectively (Exhibit 5). Trends, stratified by ED survivors and nonsurvivors, can be found in the online Appendix.[4]
Exhibit 3.
Estimated emergency department (ED) visits by US adults ages 18 and older by patient characteristics, 1997–2011
| Estimated ED visits | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Unweighted no. | Weighted no. (millions) | Per 1,000 adults | ||||||||
| 1997 | 2011 | 1997 | 2011 | 1997 | 95% CI | 2011 | 95% CI | Difference | 95% CI | |
| Age (years) | ||||||||||
| 18–44 | 9,453 | 12,876 | 40.2 | 56.6 | 361.6 | 306.1, 417.2 | 499.2 | 418.8, 579.5 | 137.6**** | 40.0, 235.2 |
| 45–64 | 3,654 | 6,901 | 15.6 | 29.8 | 277.7 | 236.1, 319.3 | 360.3 | 304.5, 416.1 | 82.6**** | 13.0, 152.2 |
| 65–79 | 2,134 | 2,771 | 9.2 | 12.0 | 357.0 | 299.4, 414.6 | 400.9 | 334.0, 467.8 | 43.9*** | −44.3, 132.1 |
| 80 or older | 1,278 | 1,918 | 5.6 | 8.4 | 649.9 | 537.7, 762.1 | 728.6 | 602.1, 855.0 | 78.7** | −90.3, 247.7 |
| Sex | ||||||||||
| Female | 8,971 | 13,734 | 38.7 | 60.7 | 370.0 | 314.4, 425.7 | 496.5 | 417.2, 575.8 | 126.5**** | 29.6, 223.4 |
| Male | 7,548 | 10,732 | 31.9 | 46.2 | 328.3 | 279.0, 377.6 | 399.9 | 338.2, 461.6 | 71.6**** | −7.3, 150.5 |
| Race/ethnicity | ||||||||||
| Non-Hispanic white | 11,024 | 15,225 | 49.9 | 66.9 | 346.0 | 287.3, 404.7 | 443.9 | 366.3, 521.4 | 97.9**** | 0.64, 195.2 |
| Non-Hispanic black | 3,534 | 5,071 | 14.0 | 24.0 | 586.6 | 459.3, 713.8 | 820.6 | 622.0, 1,019.2 | 234.0**** | −1.80, 469.8 |
| Hispanic | 1,493 | 3,110 | 5.1 | 12.8 | 238.3 | 188.6, 288.0 | 323.5 | 258.3, 388.6 | 85.2**** | 3.4, 167.0 |
| Other | 468 | 1,060 | 1.5 | 3.1 | 181.1 | 130.7, 231.4 | 173.9 | 116.7, 231.2 | −7.2 | −83.4, 69.0 |
| Insurancea | ||||||||||
| Private | 5,566 | 6,861 | 25.0 | 30.0 | 177.8 | 148.9, 206.8 | 195.7 | 162.3, 229.2 | 17.9 | −26.3, 62.1 |
| Medicare | 3,263 | 5,626 | 14.3 | 24.8 | 405.1 | 339.2, 471.0 | 534.6 | 442.6, 626.6 | 129.5**** | 16.4, 242.6 |
| Medicaid | 2,386 | 5,088 | 9.2 | 21.1 | 646.2 | 540.2, 752.1 | 863.4 | 710.3, 1,016.4 | 217.2*** | 31.0, 403.4 |
| Uninsured | 3,014 | 4,311 | 12.9 | 20.0 | 394.5 | 321.7, 467.3 | 481.4 | 394.0, 568.7 | 86.9 | −26.8, 200.6 |
| Other | 1,320 | 985 | 5.2 | 0.7 | —a | —a | —a | —a | —a | —a |
| Missing or unknown | 970 | 1,595 | 4.0 | 6.4 | —a | —a | —a | —a | —a | —a |
SOURCE Authors’ analysis of data for 1997–2011 from the National Hospital Ambulatory Medical Care Survey. NOTES Adult denominator population estimates for age, sex, race/ethnicity, and insurance come from the US Census Bureau. To assess the significance of changes in ED visit rates over the entire observation period for those variables, we conducted trend tests using weighted least squares regression models; details are available in the Appendix (see Note 4 in text). CI is confidence interval. Significance refers to the entire study period.
Denominator estimates unavailable.
p < 0.05
p < 0.01
p < 0.001
Exhibit 4.
Characteristics of emergency department (ED) visits by US adults ages 18 and older, 1997–2011
| Unweighted no. | Weighted no. | Percent of estimated ED visits | ||||||
|---|---|---|---|---|---|---|---|---|
| 1997 | 2011 | 1997 | 2011 | 1997 | 95% CI | 2011 | 95% CI | |
| Triage category**** | ||||||||
| Immediate or emergent | 3,656 | 3,149 | 16.0 | 14.1 | 22.7 | 19.7, 25.7 | 13.2 | 11.5, 14.8 |
| Urgent | 5,249 | 11,082 | 22.3 | 48.4 | 31.6 | 28.8, 34.4 | 45.3 | 42.8, 47.7 |
| Semi-urgent or nonurgent | 4,025 | 9,563 | 16.8 | 42.0 | 23.8 | 20.6, 27.0 | 39.4 | 36.6, 42.2 |
| Triage not conducted or unknown | 3,589 | 672 | 15.4 | 2.4 | 21.8 | 17.8, 25.8 | 2.2 | 0.5, 3.9 |
| Region | ||||||||
| Northeast | 4,086 | 5,262 | 14.7 | 19.8 | 20.8 | 15.5, 28.1 | 18.5 | 12.9, 24.1 |
| Midwest | 4,035 | 6,082 | 18.4 | 24.2 | 26.2 | 19.4, 32.9 | 22.7 | 16.0, 29.3 |
| South | 5,199 | 7,545 | 24.2 | 42.1 | 34.3 | 27.1, 41.6 | 39.4 | 31.5, 47.3 |
| West | 3,199 | 5,577 | 13.2 | 20.8 | 18.7 | 12.6, 24.9 | 19.4 | 13.9, 25.0 |
| Metropolitan Statistical Area | ||||||||
| Urban | 13,877 | 21,265 | 54.3 | 90.3 | 76.9 | 67.6, 86.1 | 84.5 | 76.0, 93.0 |
| Rural | 2,642 | 3,201 | 16.3 | 16.6 | 23.1 | 13.9, 32.4 | 15.5 | 7.0, 24.0 |
SOURCE Authors’ analysis of data for 1977–2011 from the National Hospital Ambulatory Medical Care Survey. NOTES To assess the significance of changes in percentage of estimated ED visits over the study period for triage category, geographic region, and Metropolitan Statistical Area, we conducted weighted chi-square tests for trend; details are available in the Appendix (see Note 4 in text.) Significance refers to the entire observation period. CI is confidence interval.
p < 0.001
Exhibit 5. Trends in emergency department (ED) visit rate by insurance category.

Source/Notes: Authors’ analysis of data for 1997–2011 from the National Hospital Ambulatory Medical Care Survey. NOTES Emergency department visit rates are per thousand US adults ages eighteen and older with the respective types of insurance. Appendix Exhibit 2 (see Note 4 in text) is a table with pertinent data points, standard errors, confidence intervals, and other statistical data for this Exhibit
Discussion
To our knowledge, there has been no previous national study evaluating longitudinal trends in ED mortality. There are several possible explanations for the substantial downward trend—a drop of nearly 50 percent—in ED mortality that warrant further review.
First, it is possible that although fewer patients are dying in the ED, patients may be surviving only until inpatient hospitalization. NHAMCS inpatient mortality data are only available after 2005, but—consistent with previous literature[10]—we found no significant upward trend in inpatient mortality to support this notion. It is more likely that our findings can be explained at least in part by the increasing role of palliative care, which results in more patients dying in hospice settings outside acute care hospitals and EDs than in the past.[11] In fact, patients are increasingly receiving home hospice care, and between 1989 and 2007 there was an increase of more than 50 percent in the [please provide] of home deaths and an accompanying 20 percent decrease in hospital deaths.[12]
Third, withholding or terminating resuscitation efforts in the prehospital setting could also contribute to the reduction in ED mortality. During the study period, several professional societies published guidelines for prehospital termination of resuscitation, and many cities initiated policies that allowed paramedics to forgo resuscitation efforts in certain cases of cardiac arrest.[13] A drop in ED mortality could be the result of patients with cardiac arrest—who previously would have been transported to and declared dead in the ED—no longer being transported to the hospital. However, continued financial, legal, and societal pressures to transport patients have limited the widespread adoption of such termination of resuscitation guidelines and policy changes.[13] Thus, the degree to which changes in resuscitation policies contribute to ED mortality nationally remains unclear.
Fourth, ED visit rates increased substantially for both Medicaid and Medicare beneficiaries. While these populations tend to be sicker and to have poorer access to ambulatory care, compared to the overall national adult population,[14] they did experience improvements in quality and access outcomes during the study period.[15,16] We also found an increase in ED visits by nonelderly adults and an increase in low-acuity ED visits. However, since we present our mortality results per thousand adults (not per total ED visits), our findings cannot be explained by an increase in the proportion of low-acuity visits.
Fifth, improvements in emergency medicine and public health could also help explain the drop in ED mortality. In recent decades, substantial advances have occurred in the acute management of life-threatening conditions such as myocardial infarction, stroke, trauma, and sepsis.[17] Such advances include improved medical therapies, the regionalization of acute medical and trauma care, and enhanced critical care training of prehospital personnel and emergency physicians.
NHAMCS does not provide data on the actual cause of death, and thus many patients in our study were characterized as having suffered from nonspecific cardiac arrest. Managing patients with undifferentiated cardiac arrest is common in the ED, and recent advancements in the care of such patients could also contribute to our results. However, NHAMCS does not allow us to comment on national trends in survival after cardiac arrest. Measuring such survival rates would require a centralized national registry that tracked incidence, interventions, and outcomes, as called for in an Institute of Medicine report on cardiac arrest survival.[18]
Finally, sixth, there have also been continued public health achievements—for example, progressive improvements in smoking cessation and motor vehicle safety—that have contributed to downward trends in mortality across the entire US population during the study period, which could be reflected in our data.[19]
Conclusion
The etiology behind the nearly 50 percent reduction in ED mortality is likely multifactorial. Further research is needed to delineate the underlying causative factors. Describing changes in ED mortality can help improve understanding of the impact that recent advances in palliative, prehospital, and emergency critical care have had on the locus of death in America.
Supplementary Material
Acknowledgments
This work was supported by the Robert Wood Johnson Clinical Scholars program (through Grant No. [please provide] to Hemal Kanzaria), the Department of Veterans Affairs (through Grant No. [please provide] to Hemal Kanzaria), and the National Heart, Lung, and Blood Institute of the National Institutes of Health (through Award No. 5K12 HL109005 to Marc Probst). The content is solely the responsibility of the authors and does not necessarily represent the official views of the supporting organizations. The authors are grateful to Judy Maselli for her technical statistical assistance and Sarah Sabbagh for her administrative assistance.
Biographies
Hemal K. Kanzaria (Hemal.Kanzaria@ucsf.edu) is an assistant professor in the Department of Emergency Medicine at the University of California, San Francisco (UCSF).
Marc A. Probst is an assistant professor in the Department of Emergency Medicine at the Icahn School of Medicine at Mount Sinai, in New York City.
Renee Y. Hsia is a professor in the Department of Emergency Medicine and Philip R. Lee Institute for Health Policy Studies at UCSF.
Footnotes
There are no conflicts of interest. There are no copyright constraints with publication of this manuscript.
Contributor Information
Hemal K. Kanzaria, Assistant Professor in the Department of Emergency Medicine at the University of California, San Francisco (UCSF).
Marc A. Probst, Assistant Professor in the Department of Emergency Medicine at the Icahn School of Medicine at Mount Sinai, in New York City.
Renee Y. Hsia, Professor in the Department of Emergency Medicine and Philip R. Lee Institute for Health Policy Studies at UCSF.
Notes
- 1.Tang N, Stein J, Hsia RY, Maselli JH, Gonzales R. Trends and characteristics of US emergency department visits, 1997–2007. JAMA. 2010;304(6):664–70. doi: 10.1001/jama.2010.1112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Smith AK, McCarthy E, Weber E, Cenzer IS, Boscardin J, Fisher J, et al. Half of older Americans seen in emergency department in last month of life; most admitted to hospital, and many die there. Health Aff (Millwood) 2012;31(6):1277–85. doi: 10.1377/hlthaff.2011.0922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Henson LA, Gao W, Higginson IJ, Smith M, Davies JM, Ellis-Smith C, et al. Emergency department attendance by patients with cancer in their last month of life: a systematic review and meta-analysis. J Clin Oncol. 2015;33(4):370–6. doi: 10.1200/JCO.2014.57.3568. [DOI] [PubMed] [Google Scholar]
- 4.To access the Appendix, click on the Appendix link in the box to the right of the article online.
- 5.McCaig LF, Burt CW. Understanding and interpreting the National Hospital Ambulatory Medical Care Survey: key questions and answers. Ann Emerg Med. 2012;60(6):716–21. doi: 10.1016/j.annemergmed.2012.07.010. [DOI] [PubMed] [Google Scholar]
- 6.National Center for Health Statistics. About the Ambulatory Health Care Surveys: National Hospital Ambulatory Medical Care Survey[Internet] Hyattsville (MD): NCHS; [last reviewed 2015 Nov 6; cited 2016 Jun 6]. Available from: http://www.cdc.gov/nchs/ahcd/about_ahcd.htm. [Google Scholar]
- 7.National Center for Health Statistics. Questionnaires, datasetes, and related documentation [Internet] Hyattsville (MD): NCHS; [last updated 2016 Apr 18; cited 2016 Jun 6]. Available from: http://www.cdc.gov/nchs/ahcd/ahcd_questionnaires.htm. [Google Scholar]
- 8.National Center for Health Statistics. Scope and sample design [Internet] Hyattsville (MD): NCHS; [last reviewed 2015 Nov 6; cited 2016 Jun 6]. Available from: http://www.cdc.gov/nchs/ahcd/ahcd_scope.htm. [Google Scholar]
- 9.National Center for Health Statistics. Survey content for the National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey [Internet] Hyattsville (MD): NCHS; [cited 2016 Jun 6]. http://www.cdc.gov/nchs/data/ahcd/body_NAMCSOPD.pdf. [Google Scholar]
- 10.Hines AL, Heslin KC, Jiang HJ, Coffey R. Trends in observed adult inpatient mortality for high-volume conditions, 2002–2012 [Internet] Rockville (MD): Agency for Healthcare Research and Quality; 2015. Jul, (HCUP Statistical Brief No. 194). [cited 2016 Jun 6] Available from: http://www.hcup-us.ahrq.gov/reports/statbriefs/sb194-Inpatient-Mortality-High-Volume-Conditions.pdf. [PubMed] [Google Scholar]
- 11.National Hospice and Palliative Care Organization. NHPCO’s facts and figures: hospice care in America [Internet] Alexandria (VA): NHPCO; 2014. [cited 2016 Jun 7]. Available from: http://www.nhpco.org/sites/default/files/public/Statistics_Research/2014_Facts_Figures.pdf. [Google Scholar]
- 12.National Center for Health Statistics. Health, United States, 2010: with special feature on death and dying. Hyattsville (MD): NCHS; 2011. [cited 2016 Jun 7]. Available from: http://www.cdc.gov/nchs/data/hus/hus10.pdf. [PubMed] [Google Scholar]
- 13.Millin MG, Khandker SR, Malki A. Termination of resuscitation of nontraumatic cardiopulmonary arrest: resource document for the National Association of EMS Physicians position statement. Prehosp Emerg Care. 2011;15(4):547–54. doi: 10.3109/10903127.2011.608872. [DOI] [PubMed] [Google Scholar]
- 14.Bodenheimer T, Pham HH. Primary care: current problems and proposed solutions. Health Aff (Millwood) 2010;29(5):799–805. doi: 10.1377/hlthaff.2010.0026. [DOI] [PubMed] [Google Scholar]
- 15.Leatherman S, McCarthy D (University of North Carolina at Chapel Hill) Quality of health care for Medicare beneficiaries: a chartbook: focusing on the elderly living in the community [Internet] New York (NY): Commonwealth Fund; 2005. May, [cited 2016 Jun 7]. Available from: http://www.commonwealthfund.org/~/media/files/publications/chartbook/2005/may/quality-of-health-care-for-medicare-beneficiaries–a-chartbook/815_leatherman_medicare_chartbook-pdf.pdf. [Google Scholar]
- 16.Takach M. Reinventing Medicaid: state innovations to qualify and pay for patient-centered medical homes show promising results. Health Aff (Millwood) 2011;30(7):1325–34. doi: 10.1377/hlthaff.2011.0170. [DOI] [PubMed] [Google Scholar]
- 17.Kellermann AL, Martinez R. The ER, 50 years on. N Engl J Med. 2011;364(24):2278–9. doi: 10.1056/NEJMp1101544. [DOI] [PubMed] [Google Scholar]
- 18.Institute of Medicine Strategies to improve cardiac arrest survival: a time to act. Washington (DC): National Academies Press; 2015. [PubMed] [Google Scholar]
- 19.Ma J, Ward EM, Siegel RL, Jemal A. Temporal trends in mortality in the United States, 1969–2013. JAMA. 2015;314(16):1731–9. doi: 10.1001/jama.2015.12319. [DOI] [PubMed] [Google Scholar]
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