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Journal of Clinical Oncology, Vol 21, Issue 4 (February), 2003: 728-735
© 2003 American Society for Clinical Oncology

Barriers to Hospice Care Among Older Patients Dying With Lung and Colorectal Cancer

Ellen P. McCarthy, Risa B. Burns, Roger B. Davis, Russell S. Phillips

From the Division of General Medicine and Primary Care, Department of Medicine, Harvard Medical School, and Beth Israel Deaconess Medical Center, Boston, MA.

Address reprint requests to Ellen P. McCarthy, Ph.D., Division of General Medicine and Primary Care, Department of Medicine, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Rose-139, Boston, MA 02215; email: Ellen_Mccarthy{at}caregroup.harvard.edu.


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Purpose: To identify factors associated with hospice enrollment and length of stay in hospice among patients dying with lung or colorectal cancer. Methods: We used the Linked Medicare-Tumor Registry Database to conduct a retrospective analysis of the last year of life among Medicare beneficiaries diagnosed with lung or colorectal cancer at age >= 66 years between January 1, 1973, and December 31, 1996, in the Surveillance, Epidemiology, and End Results Program who died between January 1, 1988, and December 31, 1998. Our outcomes of interest were time from cancer diagnosis to hospice enrollment and length of stay in hospice care. We used Cox proportional hazards regression to adjust for demographic and clinical information.

Results: We studied elderly patients dying with lung cancer (n = 62,117) or colorectal cancer (n = 57,260). Overall, 27% of patients (n = 16,750) with lung cancer and 20% of patients (n = 11,332) with colorectal cancer received hospice care before death. Median length of stay for hospice patients with lung and colorectal cancer was 25 and 28 days, respectively. Overall, 20% of patients entered hospice within 1 week of death, whereas 6% entered more than 6 months before death. Factors associated with later hospice enrollment include being male; being of nonwhite, nonblack race; having fee-for-service insurance; and residing in a rural community. Many of these factors also were associated with shorter stays in hospice.

Conclusion: Although use of hospice care has increased dramatically over time, specific patient groups, including men, patients residing in rural communities, and patients with fee-for-service insurance continue to experience delays in hospice enrollment.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
CANCERS OF the lung and colon are leading causes of cancer morbidity and mortality among men and women in the United States. In 2002, an estimated 169,400 people will be diagnosed with lung cancer, and 154,900 will die from lung cancer. Another 148,300 people will be diagnosed with colorectal cancer, and 56,600 will die from the disease.1 Persons age 65 years and older account for more than two thirds of patients with these cancers, and nearly half are diagnosed with incurable metastatic disease.2 Therefore, most of the diagnosis, treatment, and end-of-life care for these patients is financed by the Medicare program.3

Death from cancer typically follows a course of progressive debility and rapid decline.4,5 Yet, little is known about the experience of patients dying with cancer. In recent years, a number of personal stories from physicians and patients’ family members have emerged in the clinical literature.6–8 These stories share common themes of patients who fear the process of dying more than death itself. Most often, patients fear losing control over how and when their death will occur, and that their preferences will not be respected. They fear a prolonged death causing substantial financial hardships on family members. Unfortunately, these fears were realized by patients dying with lung and colorectal cancer in a recent report from the Study to Understand Patient Prognoses and Preferences for Outcomes and Risks of Treatment.4 Severe pain and confusion were symptoms common in the last months of life despite preferences for comfort care. Patients’ families incurred substantial financial burdens to care for their loved ones, such as having to quit work, and losing their major source of income and their savings.4

Hospice provides an alternative, and perhaps an optimal, approach to caring for terminally ill patients.9–12 Under the hospice model of care, dying is affirmed as a natural part of life, and the emphasis shifts from curative and life-prolonging treatments to palliative care. Ideally, hospice patients die comfortably, often at home, and surrounded by loved ones. Family members are prepared for the patient’s death and assisted through the bereavement process.13 The Medicare Hospice Benefit was established in 1982.10,13 Since then, the number of hospices in the United States has increased from 500 to more than 3,000,13,14 and the number of patients receiving hospice care has increased from 25,000 to 700,000.14 Although Medicare spends an estimated $2 billion on hospice care annually, rates of hospice use remain low.14 Moreover, dying patients are often referred to hospice too late to benefit optimally from palliative care.11,12,15 Barriers to early hospice care are poorly understood. Therefore, we conducted a study to identify factors associated with time to hospice enrollment and length of stay in hospice for patients dying with cancers of the lung and colon.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Data Source
We conducted a retrospective analysis of the last year of life using the Linked Medicare-Tumor Registry Database.16 The linked database contains cancer information on patients 65 years of age and older from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program and Medicare enrollment and utilization information from the Centers for Medicare and Medicaid Services (formerly the Health Care Financing Administration). Medicare files are available for the years 1986 to 1998 for patients diagnosed with cancer between 1973 and 1996. Specific information describing the linkage between SEER and Medicare has been published elsewhere.16 Overall, the match rate for Medicare beneficiaries older than age 65 years is 93%.

We used the Medicare denominator file and hospice file. The denominator file is generated annually and contains specific demographic and enrollment information, including date of death, for every Medicare beneficiary. The hospice file contains claims for every beneficiary who received hospice services under the Medicare Hospice Benefit, including services provided to beneficiaries enrolled in managed care.

Study Sample
Men and women with a first primary diagnosis of lung cancer (n = 62,260) or colorectal cancer (n = 60,431) were eligible for the study sample if they were diagnosed between January 1, 1973, and December 31, 1996, were 66 years or older at diagnosis, resided in one of the nine SEER coverage areas, and died between January 1, 1988, and December 31, 1998. We imposed an age requirement to ensure that all patients were covered by Medicare for at least 1 full year before their death. We excluded patients who were either diagnosed with cancer after entering hospice care or had in situ disease (143 with lung and 3,131 with colorectal cancer). Our final study sample consisted of 62,117 patients with lung cancer and 57,260 patients with colorectal cancer.

Measures
We obtained the following information at patient diagnosis from the SEER file: sex, race (non-Hispanic white, black, other), marital status (married, not married), geographic area of residence (urban, rural), and SEER Tumor Registry. We categorized age at diagnosis (range, 66 to 106 years) as 66 to 69, 70 to 74, 75 to 79, 80 to 84, and >= 85 years. We used zip code–level census data to group patients into quintiles on the basis of median household income. We used enrollment information from the denominator file to identify patients enrolled in managed care organizations at any time during the last 6 months of life.

Stage at diagnosis is collected using two classification systems. The historic staging system, collected by SEER since its inception, classifies tumors as local, regional, distant, or unstaged. In 1988, SEER began to use a more specific staging system adopted by the American Joint Committee on Cancer (AJCC). Although SEER attempted to reclassify stage for patients diagnosed before 1988, only 8% of 7,146 patients with lung cancer and 51% of 22,254 patients with colorectal cancer had sufficient documentation to make an AJCC determination. Therefore, we performed our analyses using the historic staging system so that our findings would not be biased by excluding long-term survivors of cancer. We repeated our analyses using the AJCC system and found similar results. We present our analyses using the historic staging system because it was available for all patients.

Our first outcome of interest, time to hospice enrollment, was measured from patients’ date of diagnosis. Patients who died without receiving hospice care (n = 45,367 lung cancer patients and n = 45,928 colorectal cancer patients) were treated as censored observations.

Our second outcome of interest, length of stay in hospice, was measured from date of hospice enrollment until discharge or death, whichever came first. This analysis included the 16,750 patients with lung cancer and 11,332 with colorectal cancer who received hospice care during the last 6 months of life. We excluded patients (118 with lung cancer and 82 with colorectal cancer) who had a discrepancy between their date of death and date of last hospice service. Our final sample consisted of 16,632 hospice patients with lung cancer and 11,250 hospice patients with colorectal cancer. Patients who left hospice (n = 2,116 with lung cancer and 1,359 with colorectal cancer) before they died were treated as censored observations.

Statistical Analysis
All statistical analyses were performed using SAS Software Version 6.12 (SAS Institute, Cary, NC).17 We performed bivariable analyses to determine hospice use across sociodemographic characteristics, type of health insurance, stage at diagnosis, and year of diagnosis. {chi}2 statistics and Student’s t tests were used to identify factors that were significantly associated with hospice use.

For hospice patients, we computed Kaplan-Meier estimates of median length of stay across the factors of interest. To better understand the distribution of length of stay, we determined the proportion of patients who enrolled in hospice care within 1 week of death, more than 1 week to 1 month, more than 1 month to 6 months, and more than 6 months before death.

We fit multivariable Cox proportional hazards models for each outcome. Models were stratified by SEER area to account for any lack of proportionality among the tumor registries by allowing the underlying hazard to vary. We adjusted for factors identified in the literature12,15 to be associated with hospice use and factors associated with the outcome on bivariable analyses with P < .15. Factors common to both models were sex, race, and marital status at diagnosis, health insurance type, residence in urban or rural area, and median household income of zip code of residence. The time to hospice enrollment model also included age and year of diagnosis. The length of stay in hospice model also included age at hospice entry, year of hospice entry, and illness duration (measured as time from diagnosis until hospice entry). We estimated adjusted hazard ratios (aHR) and corresponding 95% confidence intervals (CI) from the beta coefficient and SE of the Cox model.18 aHRs less than 1.0 signify longer time to hospice enrollment and aHRs greater than 1.0 indicate shorter hospice stays.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Table 1Go presents the demographic and clinical characteristics of patients with lung (n = 62,117) and colorectal (n = 57,260) cancers and the percentage who used hospice care by these characteristics. Mean age at diagnosis was 74 years for patients with lung cancer and 77 years for patients with colorectal cancer. Although the majority of patients with lung cancer were male, more than one half of patients with colorectal cancer were female. Most patients with lung or colorectal cancer were white, lived in urban communities, and had fee-for-service insurance. Almost two thirds of patients with lung cancer and one quarter of patients with colorectal cancer died within 1 year of their cancer diagnosis.


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Table 1. Demographic and Clinical Characteristics of Patients Dying With Cancer
 
Overall, 27% of patients (n = 16,750) with lung cancer and 20% of patients (n = 11,332) with colorectal cancer received hospice care before death (Table 1Go). Many factors associated with hospice use were similar for both primary cancer sites. Hospice use has increased over time; for both cancer diagnoses only 15% of patients diagnosed between 1986 and 1989 used hospice services, whereas 41% of patients with lung cancer and 36% of patients with colorectal cancer diagnosed between 1994 and 1996 used hospice services. Patients who were married, resided in communities that were urban, or had higher median household incomes, and those diagnosed with distant metastases were more likely to use hospice. Patients with managed care insurance were substantially more likely to receive hospice care than were patients with fee-for-service insurance. Hospice use varied widely across the tumor registries; hospice use was lowest in Utah and highest in New Mexico. Of patients who died within 6 months of diagnosis, 22% of patients with lung cancer and 15% with colorectal cancer received hospice care.

There were a few notable differences across the primary cancer sites (Table 1Go). First, among patients with lung cancer, use of hospice services was substantially lower only among patients age 85 years and older at diagnosis, whereas use of hospice services decreased with advancing age at diagnosis among patients with colorectal cancer. Second, women with lung cancer used hospice services more often than did men with lung cancer (30% v 25%, respectively). However, hospice use was similar among women and men with colorectal cancer. Finally, we found small differences in hospice use by race. Patients with lung cancer who were black used hospice services slightly less often than did patients who were white or of other races (25% v 27% and 26%, respectively). However, among patients with colorectal cancer, black patients used hospice more often than did patients who were white or of other races (23% v 20% and 20%, respectively).

Table 2Go presents factors associated with time from cancer diagnosis to hospice enrollment from the multivariable models. In both models, rates of hospice enrollment increased substantially over time. After adjustment, advancing age at diagnosis was significantly associated with higher rates of hospice enrollment among patients dying with lung cancer. Conversely, for patients dying with colorectal cancer, age was associated with a significantly lower rate of hospice enrollment only among patients diagnosed at age 85 years and older. For both cancer diagnoses, men enrolled in hospice significantly later than did women. The effect of black race on hospice enrollment differed by primary cancer site. For lung cancer, patients who were black had a significantly longer time to hospice enrollment relative to patients who were white. However, we found no significant difference in hospice enrollment between black and white patients with colorectal cancer. For both primary cancer sites, patients of other nonwhite races had significantly longer times to hospice enrollment relative to white patients. Being married at diagnosis was associated with higher rates of hospice use only among patients dying with colorectal cancer. Compared with patients with managed care insurance, those with fee-for-service insurance experienced considerably lower rates of hospice enrollment. Patients residing in rural communities enrolled in hospice later than did those in urban communities. In fact, the rate of hospice enrollment among rural patients was approximately 35% lower than that of urban patients for both primary cancer sites. The rate of hospice enrollment was lower for patients in the lowest income quintile. Surprisingly, there appeared to be no differences in hospice enrollment among the four highest quintiles of income. As might be expected, patients who were diagnosed at earlier stages of disease experienced longer times from diagnosis to hospice entry than did patients diagnosed with distant metastases.


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Table 2. Multivariable Analysis of Factors Associated With Time to Hospice Enrollment Among Patients Dying With Cancer
 
Table 3Go illustrates the bivariable distribution of length of stay in hospice by patient characteristics. Median length of stay in hospice for patients with lung and colorectal cancer was 25 and 28 days, respectively. Factors associated with shorter hospice stays were consistent across primary cancer sites. These factors were being male, being of white race, being married, having fee-for-service insurance, residing in communities that are urban or have high median household incomes, and having distant metastases at diagnosis. There was considerable variation in length of stay by geographic region; areas with the shortest hospice stays were Detroit and Connecticut, whereas areas with the longest stays were Iowa and San Francisco-Oakland.


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Table 3. Median Length of Stay in Hospice Care by Patient Characteristics
 
As one potential indicator of poor quality of care, we examined hospice enrollment within 7 days of death. We found that 20% of patients with lung cancer and 21% of patients with colorectal cancer entered hospice within only 1 week of death. As one potential indicator of inappropriate hospice use, we examined hospice enrollment more than 180 days before death. Overall, 7% of patients with lung cancer and 6% of patients with colorectal cancer entered hospice more than 6 months before they died.

Table 4Go presents the characteristics associated with length of stay in hospice from the multivariable models. With two exceptions (age at hospice entry and residing in rural areas), factors associated with length of stay in hospice were similar across the primary cancer sites. After adjustment, patients who were male, married, had fee-for-service insurance, and distant metastases at diagnosis continued to have significantly shorter hospice stays. White patients had a shorter length of stay in hospice than did black patients. Age at hospice entry was important only among patients with lung cancer. Patients age 80 years and older experienced longer hospice stays than did younger patients. Residing in rural communities was correlated with longer hospice stays; however, this association was significant only among patients with colorectal cancer. Illness duration, or time living with the cancer diagnosis, was not an important correlate of length of stay after adjusting for stage at diagnosis.


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Table 4. Multivariable Analysis of Factors Associated With Length of Stay in Hospice Care Among Patients Dying With Cancer
 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Access to hospice services has improved over time. Rates of hospice use among Medicare beneficiaries dying with cancer remain low despite increased access and comprehensive coverage of services by the Medicare Hospice Benefit. One fifth of patients enrolled in hospice only a week before death, and 50% enrolled within a month of death. Patients dying with lung and colorectal cancers had several potential barriers to hospice services in common. Factors associated with later hospice enrollment included being male, being of a race other than white or black, having fee-for-service insurance, and residing in rural communities. Similarly, patient-related factors associated with shorter hospice stays included being male, of white race, being married at diagnosis, having fee-for-service insurance, residing in urban communities or in communities with high median household incomes, and having distant metastases at diagnosis.

Our findings are consistent with studies of variation in end-of-life decision making by sex and race.19–22 We found that men were less likely to use hospice services, as were black patients with lung cancer. Other studies have found that patients who were male or black were more likely to undergo aggressive care, to prefer life-sustaining treatment, to want cardiopulmonary resuscitation, and to die in a hospital.21–28 Male sex and black race are also associated with attitudes less accepting of hospice, including wanting to be kept alive on life support under numerous scenarios.22,23 Black patients are less likely to have written do-not-resuscitate orders than are white patients.20 It is not entirely clear why black race was associated with decreased hospice use only among patients dying with lung cancer. Perhaps consistent with preferences for more aggressive care, patients with lung cancer often suffer from complications that may be controlled more effectively with hospital-based treatments. For example, pleural effusions in lung cancer patients cause shortness of breath that can be relieved by thoracentesis. Similarly, patients with lung cancer may be more likely to develop pneumonia that may be amenable to treatment with antibiotics and oxygen administered during hospitalization.

We found that having Medicare fee-for-service insurance was an important barrier to hospice care. Patients with fee-for-service insurance were substantially less likely to use hospice and had considerably shorter hospice stays than were patients with managed care insurance. Our findings are consistent with those first described by Virnig et al.15,29,30 Different financial incentive structures between managed care and fee-for-service systems are one potential explanation for higher hospice rates among managed care beneficiaries.30 Once a beneficiary enrolls in hospice, the Medicare program assumes the costs of care, thus relieving managed care organizations of their responsibility for expensive end-of-life care. Because managed care organizations are more successful at getting patients into hospice care, it is possible that they have better systems in place to facilitate the transfer of a dying patient to hospice.

We found significant geographic variability in hospice use and length of stay across the SEER registries. Patients residing in rural communities were at a distinct disadvantage to receipt of hospice services; however, once in hospice, residents of urban communities had shorter lengths of stay. Several factors are associated with geographic variations in hospice use, including hospice availability, number of inpatient beds, and managed care penetration.31–34 Of these factors, we could only examine the effect of managed care penetration. Tumor registries located in Hawaii, Northern California, and Seattle had the greatest Medicare managed care penetration and greater hospice use than registries in other regions.

Hospice use increased dramatically during our study years. From 1988 to 1998, the annual number of hospice admissions increased from 151,000 to 540,000.35 Despite the substantial increase in hospice admissions, only 27% of patients dying with lung cancer and 20% with colorectal cancer used hospice care before death. Moreover, many patients entered too close to death to experience the full benefit of hospice care. Short hospice stays potentially limit the ability to implement a comprehensive patient-driven care plan and may also impede effective pain and symptom control.12 Adequate symptom management in dying patients may promote better quality of life and patient satisfaction.36,37 Our findings are consistent with previous studies demonstrating median hospice stays ranging from 19 days to 36 days.11,12,15,38,39

We found that although use of hospice increased from 1988 to 1998, length of stay remained relatively unchanged and may have even decreased between 1996 and 1998. This finding must be interpreted with caution because it could reflect an anomaly of the data. Because we only included patients diagnosed through 1996, there may be differences in the mix of patients who enrolled in hospice before 1996 and those who enrolled between 1996 and 1998. It is likely that the latter group excludes some patients with rapidly progressing disease. The United States General Accounting Office recently reported a decline in hospice length of stay during the same time period.39 One plausible explanation for decreased stays in hospice offered was that, in 1995, the Office of the Inspector General initiated an investigation into Medicare fraud and abuse. Hospice was one aspect of the Medicare program to come under scrutiny.39 Although the federal investigation ultimately found that only 7% of Medicare beneficiaries in hospice were ineligible, the trend toward shorter hospice stays persisted in 1998. An unfortunate consequence of the investigation was that the trend toward shorter stays was especially pronounced among noncancer patients, a group distinctly disadvantaged because they have the most uncertain prognoses.40–42

The Medicare eligibility criteria for hospice are commonly cited as a potential explanation for late enrollment among dying patients.11,12 One criterion, in particular, requires physicians to certify that a patient is terminally ill with a life expectancy of 6 months or less.43 Physicians are often reluctant to deem a patient terminal.44–46 Some physicians feel inadequately trained to make prognoses and to deliver bad news.46,47 Others believe they are giving up on the patient or that the patient will lose hope. More importantly, physicians commonly overestimate prognosis and often fail to recognize when death is imminent.48–54 To address this issue, Congress modified this rule in 1997 to permit physicians to recertify patients who do not die within the initial 6-month period.43 Although dying patients are eligible for an unlimited number of 60-day extensions if the physician continues to certify that the patient is terminal, there has been no effect on hospice length of stay. It is unlikely that uncertainty in physician prognoses’ fully explains the late hospice enrollment and short hospice stays observed in our study. To explore this possibility, we repeated our analyses on patients diagnosed with stage IV disease and found similar results (data available on request).

Our study has several limitations. First, perhaps most importantly, we lacked information about patients’ preferences for care. Second, we lacked detailed clinical information about patients, including comorbid illnesses and functional impairments that may influence hospice use. Third, we lacked information about patients’ physicians, including their specialty, their experience caring for dying patients, or their practice patterns. Fourth, we lacked factors related to the healthcare system, including local availability of hospices. Finally, we studied only patients with lung and colorectal cancer. It is unclear whether our findings are generalizable to patients with diagnoses other than cancer.

This is the first population-based comparative study to identify barriers to early hospice care and longer hospice stays among patients dying with lung and colorectal cancer in nine geographically diverse regions over an 11-year period. We also had the information necessary to explore the relationship between cancer stage at diagnosis and duration of cancer illness and receipt of hospice care. Finally, we examined the last 6 months of life among patients who died, focusing on a group for whom hospice is appropriate.

Decisions to enter hospice care are complex. Over the last 20 years, the Medicare Hospice Benefit contributed to increased access to hospice care among older patients. Nevertheless, specific patient groups, including men, patients residing in rural communities, and patients with fee-for-service insurance, continue to experience barriers to earlier hospice care. Further research is required to determine whether these barriers affect patients with other diagnoses, and to establish how these barriers reduce access to hospice care. To what extent does reduced access reflect patient preferences, availability of services, or financial incentives? Increased efforts are needed to promote access to hospice, especially among patients at risk of experiencing barriers to such care.


    ACKNOWLEDGMENTS
 
This study used the Linked Medicare-Tumor Registry Database. The interpretation and reporting of these data are the sole responsibility of the authors. The authors acknowledge the efforts of several groups responsible for the creation and dissemination of the Linked Database, including the Applied Research Branch, Division of Cancer Prevention and Population Science, National Cancer Institute; the Office of Information Services and the Office of Strategic Planning, Centers for Medicare and Medicaid Services (formerly the Health Care Financing Administration); Information Management Services, Inc.; and the SEER Program Tumor Registries.


    NOTES
 
Ellen P. McCarthy is the recipient of a First Independent Research Support & Transition (FIRST) Award No. 5-R29CA-79052 funded by the National Cancer Institute.

Presented in part at the National Meeting of the Society of General Internal Medicine, San Diego, California, May 2001.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
1. American Cancer Society: Cancer Facts and Figures 2002. Atlanta, Georgia, 2002

2. Ries LAG, Eisner MP, Kosary CL, et al: SEER Cancer Statistics Review, 1973–1999. Bethesda, MD, National Cancer Institute, 2002. Http://seer.cancer.gov/csr/1973_1999. Accessed May 15, 2002

3. Lubitz JD, Riley GF: Trends in Medicare payments in the last year of life. N Engl J Med 328:1092–1096, 1993[Abstract/Free Full Text]

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8. Angell M: The Supreme Court and physician-assisted suicide: The ultimate right. N Engl J Med 1:50–53, 1997

9. Bulkin W, Lukashok H: Rx for dying: The case of hospice. N Engl J Med 318:376–378, 1988[Medline]

10. Kidder D: The effects of hospice coverage on Medicare expenditures. Health Serv Res 27:195–217, 1992[Medline]

11. Christakis NA: Timing of referral of terminally ill patients to an outpatient hospice. J Gen Intern Med 9:314–320, 1994[Medline]

12. Christakis NA, Escarce JJ: Survival of Medicare patients after enrollment in hospice programs. N Engl J Med 335:172–178, 1996[Abstract/Free Full Text]

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15. Virnig BA, Persily NA, Morgan RO, et al: Do Medicare HMOs and Medicare FFS differ in their use of the Medicare Hospice Benefit? Hospice J 14:1–12, 1999

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18. Lee ET: Statistical Methods for Survival Data Analysis (ed 2). New York, NY, Wiley & Sons, 1992

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Submitted June 24, 2002; accepted October 27, 2002.


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