Context Many individuals involved with care of the dying advocate expanding
access to hospice care for persons with advanced lung, heart, or liver disease.
However, to be eligible, these patients generally must have a prognosis for
survival of less than 6 months.
Objective To test the ability of currently available criteria to identify a population
with a survival prognosis of 6 months or less among seriously ill hospitalized
patients with 1 of 3 commonly fatal chronic diseases.
Design Validation study using data from the Study to Understand Prognoses and
Preferences for Outcomes and Risks of Treatments (SUPPORT) phase 1 (June 1989-June
1991) and phase 2 (January 1992-January 1994), with a 6-month follow-up.
Setting and Patients Consecutive sample of 2607 seriously ill patients from 5 US medical
centers who were hospitalized with chronic obstructive pulmonary disease,
congestive heart failure, or end-stage liver disease, and who survived to
hospital discharge.
Main Outcome Measures Descriptive and operating characteristics of 5 general and 2 disease-specific
clinical criteria for identifying patients with a survival prognosis of 6
months or less, and 3 sets of combination criteria (broad, intermediate, and
narrow inclusion) aimed at providing low, medium, and high thresholds for
hospice eligibility based on National Hospice Organization guidelines.
Results Seventy-five percent of the sample survived more than 6 months after
hospital discharge; 44% expressed a preference for palliative care. Broad
inclusion criteria identified 923 patients eligible for hospice care, of whom
70% survived longer than 6 months. Intermediate inclusion criteria identified
300 patients, of whom 65% survived longer than 6 months. Narrow inclusion
criteria identified 19 patients, of whom 53% survived longer than 6 months.
Sensitivities and specificities of the combination criteria were 41.7% and
66.7% (broad inclusion), 16.2% and 90.1% (intermediate inclusion), and 1.4%
and 99.5% (narrow inclusion), respectively.
Conclusions These data indicate that for seriously ill hospitalized patients with
advanced chronic obstructive pulmonary disease, congestive heart failure,
or end-stage liver disease, recommended clinical prediction criteria are not
effective in identifying a population with a survival prognosis of 6 months
or less.
Technological advances in medicine and improvements in public health
have enabled Americans to live longer and to survive potentially life-threatening
events such as childbirth, infectious disease, and injury. A result of these
advances has been the emergence of serious chronic diseases as a major pathway
toward death.
Among the most common chronic diseases are chronic obstructive pulmonary
disease (COPD), congestive heart failure (CHF), and end-stage liver disease
(ESLD). Together, these 3 diseases account for almost 2 million hospitalizations
and more than 175,000 deaths annually.1,2
In contrast to incurable metastatic cancer, in which there is often a marked
decline in weight and function near the end of life,3
diseases involving chronic organ failure tend to have a more erratic course
and to produce death at a time that is difficult to predict.4-6
As a result, many patients with COPD, CHF, or ESLD never experience a time
during which they are clearly dying of their disease. This observation has
important implications for the treatment of patients with such diseases, especially
with regard to their eligibility for hospice care.
Hospice programs in the United States provide specialized medical and
support services for the management of terminal illness, mostly in patients'
homes. The Medicare hospice benefit covers comprehensive services, including
home care, short-term inpatient care, and medication costs, and is paid at
a daily capitation rate of approximately $100.7
Hospice care is also a covered benefit under most private insurance plans,
managed care organizations, and state Medicaid programs.8
Hospice care has received widespread approval9,10
and is increasing in popularity; in the last 5 years, annual growth in the
number of patients receiving hospice care nationwide has averaged 16%.8 The few studies comparing hospice with other care
at the end of life suggest that (1) patients11
and families are satisfied with hospice care, (2) patients have fewer regrets
than nonhospice patients, and (3) patients receiving hospice care are more
likely to die in a way that is consistent with their wishes.12,13
Despite its advantages, however, hospice care serves a small portion
of the dying population for only a short period of time. About 20% of patients
who die in the United States receive hospice care.7
Most patients enrolled in hospice are dying of cancer, although the proportion
of hospice admissions for other diseases has increased steadily in recent
years.8
Under Medicare regulations, a beneficiary is eligible for hospice care
coverage only if both the patient's attending physician and the medical director
of the hospice certify that "the individual's prognosis is for a life expectancy
of 6 months or less if the terminal illness runs its normal course."14 Surprisingly, the precise meaning of this definition
has never been explicated and remains unclear.15,16
For example, the phrase "a life expectancy of 6 months or less if the terminal
illness runs its normal course" could be interpreted to mean that among patients
with similar prognosis, more than half would be dead within 6 months. Alternatively,
the phrase could be interpreted to require a much higher degree of prognostic
accuracy (eg, 80% or 90% of patients would be dead within 6 months).
Aggregate Medicare survival data suggest that actual practice tends
to reflect the latter, narrower interpretation.6
Only 15% of patients receiving Medicare hospice benefits survive longer than
6 months. The median survival of Medicare patients enrolled in hospice is
under 40 days.17 Government regulators, too,
may expect a high level of accuracy in predicting 6-month survival—not
only in terms of aggregate patient data, but also at the level of individual
patients. Fraud and abuse auditors acting for the Department of Health and
Human Services Office of the Inspector General have begun investigating hospices
and requiring repayment to Medicare for some patients who survived for more
than 6 months.18 The Institute of Medicine's
Committee on Care at the End of Life voiced its concern that regulators "may
not understand the uncertainty inherent in projecting survival,"19
and that the Medicare prognosis provision "implies a degree of precision that
does not exist."20 As the National Hospice
Organization (NHO) has pointed out, "the Office of the Inspector General's
intense scrutiny has had a chilling effect on appropriate referrals of terminally
ill beneficiaries."21 The effect has been especially
pronounced in patients dying of chronic conditions whose courses are difficult
to predict.20
The comparatively predictable final course of cancer—with its
1- to 2-month phase of progressive decline at the end of life—is well
suited to the hospice model of care.3 But for
individuals dying of diseases other than cancer, access has been limited,
in part because they rarely manifest a discrete phase of inexorable decline
at the end of life.5 Nonetheless, many have
suggested that hospice care be expanded to manage the care of persons dying
of chronic diseases such as COPD, CHF, amyotrophic lateral sclerosis, and
Alzheimer disease.22-26
In an effort to clarify eligibility for hospice care among patients
with CHF, COPD, and other serious illnesses, the NHO has drafted guidelines
for determining prognosis in selected noncancer diseases.23
The guidelines were created by an expert panel after an extensive review of
the medical literature concerning short-term mortality in noncancer diseases.
They were intended as a starting point for determining patient eligibility
under the Medicare hospice benefit, with the caveat that their accuracy would
need to be validated by future research. Despite this, they have already been
widely accepted and used. In fact, the Health Care Financing Administration
has distributed NHO's guidelines to its fiscal intermediaries as a tool to
assist in the claims process.27 These offices
have, in turn, used the guidelines in developing the conditions under which
Medicare coverage for hospice care is approved or denied.27
In this study, we applied a variety of potential criteria for determining
prognosis, including those based on NHO guidelines, to an existing database28 to evaluate their accuracy in predicting death within
6 months among seriously ill patients with advanced chronic disease.
This analysis used data from the Study to Understand Prognoses and Preferences
for Outcomes and Risks of Treatments (SUPPORT).28
From June 1989 to June 1991 (phase 1) and from January 1992 to January 1994
(phase 2), SUPPORT enrolled patients, 18 years or older, who met specific
criteria for 1 of 9 serious illnesses (nontraumatic coma, acute respiratory
failure, multiorgan system failure with sepsis or malignancy, COPD, CHF, cirrhosis,
metastatic colon cancer, or inoperable non–small cell lung cancer) and
who were admitted to 1 of 5 medical centers (Beth Israel Hospital, Boston,
Mass; Metro Health Medical Center, Cleveland, Ohio; Duke University Medical
Center, Durham, NC; St Joseph's Hospital, Marshfield, Wis; and the University
of California Los Angeles Medical Center). Inclusion criteria were designed
to result in a group of patients with an aggregate mortality rate of 50% within
6 months. Patients were excluded if they died or were discharged within 48
hours of study enrollment, were admitted with a scheduled discharge within
72 hours, did not speak English, or had acquired immunodeficiency syndrome,
multiple trauma, or pregnancy.
In this analysis we focused on patients with COPD, CHF, or ESLD. Inclusion
criteria for COPD were clinical diagnosis of COPD, chronic bronchitis, chronic
obstructive lung disease, or emphysema with breathlessness, respiratory failure,
or mental status change as the main reason for hospital admission, and hypercapnia
and hypoxemia (PO2 ≤60 mm Hg and PCO2 ≥50 mm Hg
if the patient was receiving room air, or PCO2 ≥50 mm Hg alone
if the patient was receiving supplemental oxygen) documented at admission.
Patients in status asthmaticus were excluded.
Inclusion criteria for CHF were clinical diagnosis of CHF or cardiomyopathy
with an exacerbation of symptoms as the primary reason for hospital admission
and 1 of the following: (1) a history of severe CHF at baseline (New York
Heart Association class III or IV) manifested by a history of dyspnea at rest
or with minimal exertion related to primary cardiac failure, and medications
before admission that included at least 2 drug classes (diuretics, vasodilators,
or adrenocortical extract inhibitors); (2) a history of class III or IV CHF
at admission, dyspnea at rest, and systolic blood pressure of 100 mg Hg or
less, or a history of hypotension that precluded the use of these diuretics,
vasodilators, or adrenocortical extract inhibitors; or (3) documentation of
severe CHF with an ejection fraction of 20% or less. Patients with CHF were
excluded from the study if they had any of the following: severe COPD, shock,
primary acute renal failure, decreased systemic vascular resistance, restrictive
cardiac disease, circulatory overload, CHF primarily due to valvular heart
disease, cardiac surgery, or thoracotomy during current hospitalization.
Inclusion criteria for ESLD were chart documentation of cirrhosis and
at least 2 of the following: a serum albumin level of 30 g/L or less, a serum
bilirubin level of 51 µmol/L (3.0 mg/dL) or more, uncontrolled ascites,
hepatic encephalopathy, cachexia, or a massive gastrointestinal tract bleed
defined as transfusion of 2 or more units of blood in 24 hours and either
hematemesis or gross blood on endoscopic visualization or nasogastric tube
aspiration.
All patients admitted to the 5 hospitals were screened daily by trained
research nurses and those meeting disease and severity criteria were enrolled.
Protocols for enrollment and data collection were approved by the institutional
review boards at all participating hospitals. Chart reviews provided information
about each patient's disease history as well as clinical characteristics used
to calculate survival estimates according to the multivariate SUPPORT prognostic
model, as described elsewhere.29 In addition,
charts provided information about whether patients were transferred to hospice
care or prescribed home care services on discharge from the index hospitalization
or on any later discharge from a SUPPORT hospital during the 6-month study
follow-up, as well as whether patients were readmitted to a SUPPORT hospital
within 2 months of the first discharge. For COPD patients, charts were also
reviewed for documentation of clinical evidence for cor pulmonale. For CHF
patients, left ventricular ejection fraction (if assessed within the prior
6 months and documented), and supraventricular or ventricular arrhythmias
(before study entry or during any hospitalization) were noted. For ESLD patients,
chart documentation of cachexia (including wasting, malnourishment, emaciation)
was recorded.
During the first week after study entry, informed consent was obtained
for interviews with both patients and surrogate decision makers. Interviews
included questions about the patient's functional status 2 weeks prior to
study entry, weight change in the last 2 months, and preferences about palliative
care. Functional status was measured by a modified version of the Katz Index
of Activities of Daily Living Scale.30 The
Activities of Daily Living Scale ranged from 1 to 7 points and measured impairment
in bathing, dressing, eating, continence, transferring, toileting, and walking,
with a higher score indicating worse function. Preference for palliative care
was assessed by the question, "If you had to make a choice at this time, would
you prefer a course of treatment that focuses on extending life as much as
possible, even if it means having more pain and discomfort, or would you want
a course of treatment that focuses on relieving pain and discomfort as much
as possible, even if that means not living as long?"
Variables tested in this analysis were chosen to approximate the prognostic
criteria listed in the NHO's Medical Guidelines for Determining
Prognosis in Selected Noncancer Diseases.23
The NHO criteria were operationalized using the SUPPORT data as summarized
in Table 1. Information was available
relevant to each proposed domain. In the instances that data from SUPPORT
were insufficient, a proxy measure in the same domain was substituted. Proxy
measures were selected to err on the side of broader inclusion.
For each patient case, 7 variables were analyzed. Of these, 5 were general
clinical criteria that applied to all patients regardless of their disease
category: readmission within 2 months, home care after discharge, activities
of daily living dependency of 3 or more, weight loss of 2.3 kg (5 lb) or more
within 2 months, albumin level of less than 25 g/L. In addition, 2 disease-specific
clinical criteria were applied to each case: cor pulmonale and PO2
of 55 mm Hg or less while receiving oxygen in patients with COPD; ejection
fraction of 20% or less and arrhythmia in patients with CHF; and cachexia
and creatinine level of 153 µmol/L (2.0 mg/dL) or more in patients with
ESLD.
Current NHO guidelines do not specify the number or combination of the
recommended clinical criteria to be used to predict 6-month mortality; rather,
clinical judgment is suggested. This analysis used 3 sets of combination criteria,
termed broad inclusion, intermediate
inclusion, and narrow inclusion, aimed at
providing a low, medium, and high threshold for selecting patients for hospice
care eligibility based on the NHO recommendations. All 3 sets of criteria
required that either the patient or the surrogate express a preference for
palliative care, as consent was always a prerequisite for hospice enrollment.
In addition to preference for palliative care, the different combination criteria
required varying numbers of the 7 possible clinical criteria relevant to the
disease. Broad inclusion required at least 1, intermediate inclusion required
at least 3, and narrow inclusion required the presence of 5 of 7 possible
clinical criteria.
In tabulating physiologic measurements (PO2, albumin, creatinine),
we used the most normal value if more than 1 were available. For the interview
data (preference for palliative care, use of home care, activities of daily
living dependency, weight loss), surrogate responses were calibrated to patients'
responses and substituted if the patient was not interviewed but the surrogate
was. In this analysis, patient information was missing and surrogate responses
were substituted in 30.1% of cases for these scores, while neither patient
nor surrogate data were available in 17.6% of cases. Patients with no interview
data did not differ significantly from patients with interview data in respect
to disease severity, predicted prognosis, or actual survival.
The relevant clinical criteria and the 3 different combinations of criteria
were applied to patients in each disease category. For comparison, we also
examined 6-month prognostic estimates of 50% or less and 10% or less by the
SUPPORT model,29 as well as actual referrals
to hospice care. These analyses were applied only to the subset of patients
who survived the enrollment hospitalization, as they were considered the most
likely candidates for hospice referral and, therefore, the group for whom
prognostic criteria would be relevant in clinical practice.
Descriptive statistics were used to characterize patients for each criterion
regarding survival days after discharge from the index hospitalization. The
number of survival days was determined by the National Death Index, updated
to December 31, 1994. If a patient were still alive on this date, his/her
survival time was censored. The interquartiles of survival days for patients
who met each criterion were estimated using the Kaplan-Meier estimator. To
further elucidate the clinical usefulness of various methods for identifying
patients with a prognosis of 6 months or less, we calculated sensitivity,
specificity, and positive and negative likelihood ratios (LRs). In addition,
we calculated the area under the receiver operating characteristic (ROC) curve
for the NHO guideline–based criteria.
SUPPORT enrolled 9105 patients, of whom 2954 were categorized with 1
of the targeted advanced chronic diseases as their first diagnosis: 1016 with
COPD, 1404 with CHF, and 534 with ESLD. Among all 3 groups of patients with
advanced chronic disease, 347 (12%) died during their enrollment hospitalization,
including 116 COPD patients (11%), 92 CHF patients (7%), and 139 ESLD patients
(26%). Of the 2607 patients who survived to leave the hospital and would therefore
be potential hospice care candidates, 54 (2%) were discharged to a hospice
program. Figure 1 depicts survival
after discharge for patients in each disease category.
Table 2 summarizes survival
after discharge for patients meeting various prognostic criteria for hospice
enrollment, stratified by disease. The combined data for all 3 diseases are
summarized here. Of the 2607 patients who survived to leave the hospital and
were included in this study, 655 (25%) were dead within 6 months of discharge.
The estimated median survival time for the study population was 804 days (interquartile
range, 181 to . . . [not able to calculate accurately]). A large minority
of patients expressed a preference for palliative care (44%). Those who did
express such a preference had an increased probability of dying within 6 months.
Each of the 5 general criteria and the 2 disease-specific criteria we tested
also identified a subset of patients with a similar or slightly increased
risk of dying within 6 months.
Simulating the NHO criteria as described for broad inclusion (preference
for palliative care and 1 or more relevant clinical criteria), 923 patients
were identified, of whom 70% survived more than 6 months after discharge.
Using the intermediate inclusion criteria (preference for palliative care
and ≥3 clinical criteria), 300 patients were identified and 65% survived
more than 6 months. Using the narrow inclusion criteria (preference for palliative
care and ≥5 clinical criteria), 19 patients were identified and 53% survived
more than 6 months. The corresponding median survival was 654 days (interquartile
range, 129 to . . . [not able to calculate accurately]) for broad inclusion,
418 days (interquartile range, 89-1763) for intermediate inclusion, and 183
days (interquartile range, 65-474) for narrow inclusion.
Using the SUPPORT prognostic model to estimate 6-month survival after
discharge, we identified 313 patients whose prognosis was 50% or less and
27 patients whose prognosis was 10% or less. Of those with a prognosis of
50% or less, the actual 6-month survival rate was 54% and the median survival
was 236 days (interquartile range, 46 to . . . [not able to calculate accurately]).
For those with a prognosis of 10% or less, 41% were still alive at 6 months,
and the median survival was 67 days (interquartile range, 18-666).
Table 3 shows the characteristics
of the 54 patients whose medical records documented a discharge to hospice
care. Compared with other patients in the study, those referred to hospice
care were slightly older and more often white, but similar with respect to
sex. In the hospice group, a higher proportion of patients had COPD or ESLD,
while a lower proportion had CHF. Patients discharged to hospice programs
were not significantly more likely to meet the broad, intermediate, or narrow
inclusion criteria. The SUPPORT prognostic model predicted significantly lower
6-month survival rates for the hospice care group. Actual median survival
among patients referred to hospice was 23 days (6-145), in contrast to 842
days (200 to . . . [not able to calculate accurately]) for other patients.
The proportion of patients in hospice who outlived their 6-month prognosis
was 22%.
Table 4 compares test characteristics
for predicting death within 6 months of hospital discharge for broad, intermediate,
and narrow inclusion criteria based on NHO guidelines; for the SUPPORT prognostic
model; and for actual discharges to hospice. For all the criteria tested,
the sensitivity was low. For example, if intermediate inclusion criteria were
used to determine hospice eligibility, only 16% of patients who were to die
within 6 months would have qualified. Specificity, however, was high, such
that most patients surviving more than 6 months would have been excluded.
Meeting the combination criteria we used to simulate NHO guidelines
would increase a patient's chances of dying within 6 months so slightly as
to be of limited usefulness clinically (positive LRs between 1.25 and 2.68).
For example, any patient who was sick enough to be included in the current
study would have a prior probability of 25% for dying within 6 months. Meeting
the narrow inclusion criteria (positive LR, 2.68) would give a posterior probability
of 47%. Changes of this magnitude are not sufficient to establish "a life
expectancy of 6 months or less."
A 6-month prognosis of 50% or less or 10% or less according to the SUPPORT
prognostic model would affect a patient's chances of dying within 6 months
only somewhat more significantly (positive LRs, 2.57 and 4.33). Actual discharge
to hospice care was the most powerful predictor of death within 6 months (positive
LR, 10.43). In all cases, however, failure to meet the criteria would carry
very little prognostic significance (negative LRs between 0.87 and 0.99).
Another method of assessing the value of a test across all possible
cutoff points is the area under an ROC curve. The ROC area serves as a measure
of diagnostic accuracy, specifically rank-order discrimination of a test.
The possible values for this measure range from 0.5 to 1; the closer the area
under the ROC curve is to 1, the more discriminating the test. For the NHO
guideline–based combination criteria, the ROC area was 0.54 ±
0.01, in which 0.5 would indicate a completely valueless test. The test achieved
only 8% of the potentially available rank-order discrimination and can be
seen, therefore, to be an extremely poor discriminator.
Figure 2 illustrates schematically
the limited accuracy of the broad, intermediate, and narrow inclusion criteria
in identifying patients with a prognosis of 6 months or less. The most restrictive
criteria excluded almost all patients who survived longer than 6 months (false-positive
rate, 5.1%) but also excluded almost all patients in the target group (false-negative
rate, 99%). The least restrictive criteria identified a group of patients
whose risk of 6-month mortality was only slightly higher than that of the
remaining SUPPORT patients, while still excluding most patients who were actually
near death.
The prognostic criteria we used to simulate NHO guidelines were largely
ineffective in predicting which seriously ill hospitalized patients with COPD,
CHF, or ESLD have a prognosis of 6 months or less. Among patients meeting
various combinations of criteria, 6-month survival ranged from 53% to 70%.
Despite their limited ability to predict 6-month survival, all criteria
reduced the eligible population dramatically. Even the most inclusive combination
of criteria eliminated 65% of SUPPORT patients with advanced chronic disease,
including 58% of patients who actually died within 6 months of discharge.
The most restrictive combination eliminated 99% of patients who died within
6 months.
Thus, the combination criteria we analyzed all succeeded in excluding
most patients who lived longer than 6 months, but in doing so they also excluded
the vast majority of the target group they were supposed to identify—patients
who were dead in 6 months or less. And even though patients meeting various
criteria were somewhat more likely to die sooner, invariably a large proportion
(>53%) lived longer than 6 months.
Does this imply that suggested clinical guidelines for determining prognosis
in noncancer diseases are seriously flawed? Not necessarily. The more likely
implication of this study is that the goal of determining in advance—with
a high degree of accuracy—which individual patients with COPD, CHF,
or ESLD will die within 6 months is unrealistic.
This analysis further suggests that if a high degree of predictive accuracy
is demanded by those who interpret the 6-month prognostic requirement for
hospice enrollment, few patients who die of these types of chronic diseases
will be eligible for hospice care. Setting the threshold high (eg, stipulating
that only 20% of patients should outlive their 6-month prognosis) would eliminate
hospice access for these patients almost entirely. None of the criteria tested
in this study succeeded in identifying a population of patients who met this
stringent standard—not even by eliminating more than 99% of seriously
ill patients.
Certainly, the prognosis for patients with advanced COPD, CHF, or ESLD
is poor overall—worse even than the prognosis of many terminal cancer
patients. But while cancer patients are often in relatively good health until
a period near the end when they experience steady decline, patients with advanced
lung, heart, or liver disease tend to live for variable lengths of time in
a continuous state of poor health punctuated by intermittent exacerbations.
For these patients, the proximate cause of death is often a relatively sudden
and unpredictable event such as a pulmonary infection, a cardiac arrhythmia,
or a massive gastrointestinal tract hemorrhage, which are all events that
have a low rate of occurrence but a substantial per incident mortality rate.
Put another way, the sickest patients are not necessarily the ones who die
first.
This randomness factor in death due to chronic disease also explains
why the SUPPORT prognostic model, which is known to have a high predictive
accuracy overall among the patient population included in the study,29 failed to identify a sizable population of COPD,
CHF, or ESLD patients who died within 6 months. Even among the small subset
of patients with the worst prognosis (only 1% had an estimated prognosis of ≤10%
at 6 months), 41% survived more than 6 months.
Of all the groups examined in the study, the 55 patients discharged
directly to hospice care had the shortest median survival (24 days), as well
as the smallest chance of surviving more than 6 months (21%). One possible
explanation for this finding is that clinicians were able to identify patients
with worse prognoses based on factors other than those analyzed in this study.
Another possibility is that patients referred to hospice care are less likely
to receive life-prolonging treatment and therefore die sooner. The current
study does not attempt to differentiate between these 2 alternatives.
Another limitation of this analysis is that we were not able to precisely
simulate all components of the NHO criteria. For example, the NHO guidelines
rely heavily on changes over time, a dimension that is not well captured in
the SUPPORT data. Although it is unquestionably possible that death within
6 months could be more accurately predicted through further refinement of
these criteria, it seems implausible that accuracy for individual patients
would improve enough to alter the central findings of this study.
It is also important to note that SUPPORT was a study of hospitalized
patients and may not be generalizable to broader populations of patients with
advanced chronic disease.31 For instance, seriously
ill patients who seek aggressive hospital care may be less likely to choose
hospice for their future care. Also, the SUPPORT population was younger than
the national average for dying, and younger age has been shown to correlate
with the use of more aggressive care.32,33
This analysis presents a preliminary effort to test prognostic criteria
for hospice enrollment among patients with advanced lung, heart, or liver
disease using existing data. A prospective study is required to understand
the effects of these criteria in actual clinical practice. However, such a
prospective study should assure that the overall population of persons dying
due to chronic diseases is assessed, and not just those now referred for hospice
enrollment. Studying only those referred could be helpful in addressing the
question of whether a small population with dire short-term prognoses can
be identified but would not address the question of how to meet the needs
of the much larger population of patients who are dying of advanced chronic
disease but who do not meet current eligibility criteria for hospice care.
3.Morris JN, Suissa S, Sherwood S, Wright SM, Greer D. Last days: a study of the quality of life of terminally ill cancer
patients.
J Chronic Dis.1986;39:47-62.Google Scholar 4.Pearlman RA. Variability of physician estimates of survival for acute respiratory
failure in chronic obstructive pulmonary disease.
Chest.1987;91:515-521.Google Scholar 5.Lynn J. An 88-year-old woman facing the end of life.
JAMA.1997;277:1633-1640.Google Scholar 6.Lynn J, Harrell F, Cohn F, Wagner D, Connors A. Prognoses of seriously ill hospitalized patients on the days before
death: implications for patient care and public policy.
New Horiz.1997;5:56-61.Google Scholar 9.Brooks CH, Smyth-Staruch K. Hospice home care cost savings to third party insurers.
Med Care.1984;22:691-703.Google Scholar 10.Mor V, Greer DS, Kastenbaum R. The Hospice Experiment. Baltimore, Md: Johns Hopkins University Press; 1988.
11.Greer DS, Mor V, Morris JN, Sherwood S, Kidder D, Birnbaum H. An alternative in terminal care: results of the National Hospice Study.
J Chronic Dis.1986;39:9-26.Google Scholar 12.Wallston KA, Burger C, Smith RA, Baugher RJ. Comparing the quality of death for hospice and non-hospice cancer patients.
Med Care.1988;26:177-182.Google Scholar 13.Dawson NJ. Need satisfaction in terminal care settings.
Soc Sci Med.1991;32:83-87.Google Scholar 14. Medicare Regulations, 42 CFR §418.22 (1983).
15.Lynn J, Teno JM, Harrell FE. Accurate prognostications of death: opportunities and challenges for
clinicians.
West J Med.1995:163;250-257.Google Scholar 16.Lynn J, Harrell F, Cohn F, Hamel MB, Dawson N, Wu A. Defining the "terminally ill": insights from SUPPORT.
Duquesne Law Rev.1996;35:311-336.Google Scholar 17.Christakis NA, Escarce JJ. Survival of Medicare patients after enrollment in hospice programs.
N Engl J Med.1996;335:172-178.Google Scholar 19.Committee on Care at the End of Life. Introduction. In: Field MJ, Cassel CK, eds. Approaching Death:
Improving Care at the End of Life. Washington, DC: National Academy
Press; 1997:30.
20.Committee on Care at the End of Life. Financial and economic issues in end of life care. In: Field MJ, Cassel CK, eds. Approaching Death:
Improving Care at the End of Life. Washington, DC: National Academy
Press; 1997:169.
22.von Gunten CF, Twaddle ML. Terminal care for noncancer patients.
Clin Geriatr Med.1996;12:349-358.Google Scholar 23.Stuart B, Alexander C, Arenella C.
et al. Medical Guidelines for Determining Prognosis in Selected
Non-cancer Diseases. 2nd ed. Arlington, Va: National Hospice Organization; 1996.
24.Yeager Jr H. Is hospice referral ever appropriate in COPD?
Chest.1997;112:8-9.Google Scholar 25.Hanrahan P, Raymond M, McGowan E, Luchins DJ. Criteria for enrolling dementia patients in hospice: a replication.
Am J Hospice Palliative Care.1999;16:395-400.Google Scholar 26.Stuart B. The NHO Medical Guidelines for Non-Cancer Disease and local medical
review policy: hospice access for patients with diseases other than cancer.
Hospice J.In press.Google Scholar 28.The SUPPORT Principal Investigators. A controlled trial to improve care for seriously ill hospitalized patients:
the Study to Understand Prognoses and Preferences for Outcomes and Risks of
Treatments (SUPPORT).
JAMA.1995;274:1591-1598.Google Scholar 29.Knaus WA, Harrell FE, Lynn J.
et al. The SUPPORT prognostic model: objective estimates of survival for seriously
ill hospitalized adults.
Ann Intern Med.1995;122:191-203.Google Scholar 30.Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. The index of ADL: a standardized measure of biological and psychosocial
function.
JAMA.1963;185:914-919.Google Scholar 31.Layde PM, Broste SK, Desbiens N.
et al. Generalizability of clinical studies conducted at tertiary care medical
centers.
J Clin Epidemiol.1996;49:835-841.Google Scholar 32.Hakim R, Teno J, Harrell F.
et al. Factors associated with do-not-resuscitate orders: patients' preferences,
prognoses, and physicians' judgment.
Ann Intern Med.1996;125:284-293.Google Scholar 33.Hamel M, Phillips R, Teno J.
et al. Seriously ill hospitalized adults: do we spend less on older patients?
J Am Geriatr Soc.1996;44:1043-1048.Google Scholar