Introduction

There are clearly two problems facing people at the end of life. The first is that quality care does not reach enough people, and the second is that the rising costs of health care over preceding decades have imposed a substantial financial burden on patients, families, and the health care system. These two major problems may be mitigated with earlier and increased palliative care (PC) involvement, with mounting evidence confirming the benefits of PC on both costs and quality of care . This is a significant realization, as the primary goal of any medical intervention is never cost reduction, and reducing costs also reduces the quality and intensity of services being delivered. For example, an orthopedics practice attempting to reduce costs by delaying hip replacement surgery would inevitably create more pain and disability for the patient. Such attempts at cost reductions that disregard outcomes are potentially dangerous and unacceptable. PC is unique in that sense, for by increasing PC interventions, the primary clinical effects—decrease in symptom burden, increased communication between teams, and better alignment of treatment with patient’s goals—occur in conjunction with cessation of ineffective or unwanted treatments and decreased hospital and intensive care unit (ICU) services, thereby achieving the secondary and unintended outcome of cost reduction.

Despite much evidence, end‐of‐life care and planning continues to be ignored in most contexts. The politics of the matter are especially controversial. Prior to the enactment of the 2010 Patient Protection and Affordable Care Act (ACA) [9], a proposal for providing Medicare coverage for end‐of‐life counseling became highly charged, as some opponents misrepresented such planning to be synonymous with physician “death panels,” deciding who will live or die. The myth was quickly discredited but not before the final ACA bill had been stripped of any reference to end‐of‐life care. Not until 2016 did Medicare fix it, and voluntary end‐of‐life counseling became reimbursable. This correction was most appropriate because the Institute of Medicine (IOM) identifies patient‐centeredness along with the delivery of safe and effective treatments as crucial aspects of quality health care, including at the end of life [10].

In recent years, value‐based health care performance measures have been proposed, with rising recognition that care must deliver effective patient‐based outcomes through patient‐centeredness, quality, and cost containment. Michael Porter has defined value in health care in terms of patient health outcomes being achieved relative to the costs of care, although, importantly, such value is only created when health outcomes are never compromised [11]. Focusing on value, not just costs, avoids the pitfall of choosing expensive or obligatory treatments and allows for the consideration of effective personalized treatments that may become best practice [11]. In terminally ill cancer patients, effective outcomes inevitably vary with the stage of illness and functionality, necessitating individualized approaches that respect the patient’s goals, even ones not necessarily related to increasing survival. PC has emerged as a valuable intervention in recent years. To measure its value in oncological care, it is important to discuss the most common problems and challenges facing cancer patients, the effectiveness of PC interventions in addressing these, and the impact PC has on reducing health care costs. This article reviews the current state of end‐of‐life care, analyzes the clinical and financial impact of PC, and proposes areas of future research and development.

Suffering  at the End of Life

Suffering in terminally ill cancer patients can stem from multiple problems, including uncontrolled symptoms, inadequate practical and emotional support, unexpected financial burden, lack of communication, disregard for patient/family goals, setting preferences, or even prolongation of the dying process (Fig. 1).

Multidimensional causes of patient suffering at the EOL.
Figure 1

Multidimensional causes of patient suffering at the EOL.

Abbreviations: ADL, activities of daily living; EOL, end of life.

Symptom Burden at the End of Life

Symptoms such as pain, dyspnea, and depression are among the most prevalent and distressing aspects of the end‐of‐life experience for patients and families . The daily struggles and suffering experienced by dying Americans was highlighted in the IOM’s 1997 report, “Approaching death: Improving care at the end of life.” It described many shortcomings as well, including the lack of trained personnel and quality performance measures, and stressed the urgency for improvements [15]. Several recommendations have been incorporated into end‐of‐life care guidelines and quality metrics, along with the expansion of PC programs in hospitals [16] and hospices in community settings [17]. The National Quality Forum and American Society of Clinical Oncology (ASCO) have jointly endorsed a set of overly aggressive performance metrics denoting poor‐quality care , which are now integrated into ASCO’s Quality Oncology Practice Initiative performance measures (Table 1) [20]. Despite such progress, recent studies on symptom burden and the quality of care at the end of life suggest worsening outcomes over time . In more recent reports , the IOM has highlighted three main areas for improvement: (a) communication (such as about disease prognosis, benefits and burdens of treatments, initiation of PC, the costs of care, and psychological support); (b) tailoring of end‐of‐life care to patient’s needs, values, and preferences; and (c) the provision of coordinated team‐based care.

Table 1

Selected Quality Oncology Practice Initiative’s end‐of‐life quality outcome performance measures

DescriptionMeasure
PainPlan for pain Pain assessed before death Pain intensity quantified before death Pain assessed appropriately before death
DyspneaDyspnea assessed before death Dyspnea addressed before death Dyspnea addressed appropriately before death
HospiceHospice or palliative care used Enrolled in hospice Hospice within 3 days of death
ChemotherapyChemotherapy administered within the last 2 weeks of life
Emergency room visitAny emergency room visit within the last month of life Two or more emergency room visits within the last month of life
Hospital admissionAny hospital admission within the last month of life Two or more hospital admission within the last month of life More than 14 days of hospitalization within the last month of life Hospital death
ICU admissionAny hospital admission within the last month of life ICU death
DescriptionMeasure
PainPlan for pain Pain assessed before death Pain intensity quantified before death Pain assessed appropriately before death
DyspneaDyspnea assessed before death Dyspnea addressed before death Dyspnea addressed appropriately before death
HospiceHospice or palliative care used Enrolled in hospice Hospice within 3 days of death
ChemotherapyChemotherapy administered within the last 2 weeks of life
Emergency room visitAny emergency room visit within the last month of life Two or more emergency room visits within the last month of life
Hospital admissionAny hospital admission within the last month of life Two or more hospital admission within the last month of life More than 14 days of hospitalization within the last month of life Hospital death
ICU admissionAny hospital admission within the last month of life ICU death

Abbreviations: ICU, intensive care unit.

Table 1

Selected Quality Oncology Practice Initiative’s end‐of‐life quality outcome performance measures

DescriptionMeasure
PainPlan for pain Pain assessed before death Pain intensity quantified before death Pain assessed appropriately before death
DyspneaDyspnea assessed before death Dyspnea addressed before death Dyspnea addressed appropriately before death
HospiceHospice or palliative care used Enrolled in hospice Hospice within 3 days of death
ChemotherapyChemotherapy administered within the last 2 weeks of life
Emergency room visitAny emergency room visit within the last month of life Two or more emergency room visits within the last month of life
Hospital admissionAny hospital admission within the last month of life Two or more hospital admission within the last month of life More than 14 days of hospitalization within the last month of life Hospital death
ICU admissionAny hospital admission within the last month of life ICU death
DescriptionMeasure
PainPlan for pain Pain assessed before death Pain intensity quantified before death Pain assessed appropriately before death
DyspneaDyspnea assessed before death Dyspnea addressed before death Dyspnea addressed appropriately before death
HospiceHospice or palliative care used Enrolled in hospice Hospice within 3 days of death
ChemotherapyChemotherapy administered within the last 2 weeks of life
Emergency room visitAny emergency room visit within the last month of life Two or more emergency room visits within the last month of life
Hospital admissionAny hospital admission within the last month of life Two or more hospital admission within the last month of life More than 14 days of hospitalization within the last month of life Hospital death
ICU admissionAny hospital admission within the last month of life ICU death

Abbreviations: ICU, intensive care unit.

End‐of‐Life Care Is Frequently at Odds with Patient/Family Preferences

When informed about poor prognosis, a majority of cancer patients and their families prefer comfort‐ over cure‐focused care and prefer to die at home rather than in the hospital setting . Yet in reality, the care is increasingly aggressive and complex, which is not only at odds with patient preferences but also associated with poorer clinical outcomes and quality of life (QoL) . Some studies showed an encouraging trend of a lower proportion of cancer patients dying in acute care hospitals and a higher number of hospice enrollments in the last month of life, but this was dampened by findings of higher rate of ICU and hospital utilization in the last months of life and higher proportion of hospice referrals in the last 3 days of life, respectively . The studies highlight the importance of eliciting individual preferences via better communication, as there is frequent disagreement whenever physicians assume what their patients would prefer . Among cancer patients, preferences for making such decisions vary, ranging from active to passive, with shared decision‐making being the most preferred .

Bereaved Family Outcomes

When a patient’s end‐of‐life preferences are not met, family/caregivers experience regret and worsening QoL and are at a higher risk of developing a major depressive disorder [40]. Family members perceive end‐of‐life care to be worse in the context of hospital deaths, ICU admission in the last month of life, or if hospice enrollment occurred late or not at all [41]. Counseling to families/caregivers is still not routine, even for patients with advanced cancers, but is an important component of PC. The ENABLE III trial compared the timing of PC tele‐health caregiver counseling support when given early (≤60 days of advanced‐cancer diagnosis) versus delayed (≥12 weeks of diagnosis) and found that prior to death, caregivers in the early group had lower depressions scores 3 months after intervention [42]. However, there was no differences between groups on depression or complicated‐grief scores at 8–12 weeks after death [43]. To our knowledge, no study has compared the impact of counseling by PC versus the standard of care on bereaved family/caregiver outcomes following a cancer death

Financial Hardship to Patients and Families

The financial burden to patients/families as a result of medical care is rapidly rising, with one in three Americans experiencing hardships [44]. The burden is far greater for cancer patients, who pay more out of pocket than those with other chronic illnesses, even when privately insured or Medicare beneficiaries . In a recent study, 10% of Medicare beneficiaries without supplemental insurance were found to spend over 60% of their annual income on out‐of‐pocket expenses following cancer diagnosis, with inpatient hospitalizations accounting for 46% of expenses [48]. Similar high costs occurred at the end of life, and inpatient hospitalizations were the primary contributor [48]. In a study of advanced cancer patients referred to PC services, financial distress was found to be highly prevalent in both the general public and the comprehensive cancer hospitals, but the intensity was twice as severe at the public hospital [49]. Approximately 30% of patients rated financial distress to be more severe than physical, family, and emotional distress [49]. More than four out of five oncologists report that concerns regarding out‐of‐pocket spending influence their treatment recommendations, although fewer than half routinely discuss financial issues with patients [50].

PC Improves Quality of Care

The concept of providing patient‐ and family‐centric care in the context of terminal illness when high symptom burden and existential queries are faced by those with inadequate coping skills is not foreign to PC. Far from it, this skill set is precisely why the IOM recommends all people with serious advanced illnesses have access to skilled PC [51]. In an ideal model, PC would be incorporated early, preferably at the time of diagnosis of advanced illness, thereby optimizing QoL by anticipating, preventing, and treating suffering, providing clarity on medical decisions, and providing a platform for patients, families, and all medical providers to communicate about patient care/goals. PC interventions incorporated over the course of illness, rather than towards the end, align more closely to the needs and preferences of terminally ill patients and families.

Various prospective studies have demonstrated timely integration of PC with oncologic care to be associated with significant improvements in QoL , symptoms , and satisfaction with care [4].The 2010 randomized controlled trial (RCT) of newly diagnosed metastatic lung cancer patients also demonstrated a survival advantage in the concurrent PC and oncology arm despite less aggressive care (chemotherapy ≤14 days before death and very late or no hospice referral) [7]. Even in the curative setting, such as among patients undergoing hematopoietic stem cell transplantation (HSCT), a recently published RCT (n = 160) [52] demonstrated lower reductions in QoL at 2 weeks post‐HSCT in the concurrent inpatient PC and standard transplant care arms. At 3 months post HSCT, the PC‐arm patients had higher QOL and less depression but did not differ from the standard arm with respect to overall symptom burden. The same group of investigators also presented an abstract at ASCO 2016 on another RCT [53] conducted in patients newly diagnosed with advanced lung or gastrointestinal malignancies and found higher QOL, lower depression scores (at 24 weeks), and higher frequency of EOL discussions in the PC arm, as compared with the oncology‐alone arm.

Several studies suggest that even after one visit with PC in the outpatient or inpatient setting, there are improvements in physical and psychological symptoms, QoL, as well as patient satisfaction with care and provider communication . In the ICU, PC consultations are associated with improved pain and other symptoms, facilitation of discussion on advanced care planning, and lower use of nonbeneficial life‐prolonging treatments . Studies of patients hospitalized at specialized PC units also demonstrate decreased symptom burden and improvements in care beyond those achieved with the PC consultation service .

Hospice services delivered at home or at nursing facilities have been associated with improved quality outcomes for terminally ill patients and their families, such as higher patient QoL and satisfaction with care , along with lowered risks of bereaved caregivers developing a major depressive disorder [70]. In addition, in one report that looked at survival outcomes, patients enrolled in hospice services had higher survival [71].

PC Reduces Costs

Improving patient/family outcomes while simultaneously decreasing costs makes PC a high‐value intervention, driving the rapid expansion of hospital‐based PC programs all over the country [16]. Across hospital types, PC involvement in the care of seriously ill‐patients has been associated with lower hospital costs directly in dollars and/or implied by lower hospital, ICU, or Emergency Care (EC) utilization. (Table 2) . The magnitude of hospital cost savings with PC involvement ranges from 9%–32% . These savings are higher when PC is involved earlier (≤2 days of admission) [87], when patients have higher comorbidities [81], and for patients who die during the hospitalization as compared with those discharged alive . In the one RCT that examined health care costs and utilization post hospital discharge following PC consultation, patients in the PC arm had fewer ICU admissions on readmission to the hospital and an estimated 32% reduction in total health care costs over 6 months post discharge [59]. In the outpatient setting, a recent secondary analysis [3] of the Temel study in lung cancer patients [7] found early PC to be not associated with higher overall health care expenses and a statistical trend towards lower mean total costs per day.

Table 2

Studies demonstrating cost savings associated with PC consultations in the inpatient setting

Author (Year)Study design/objectiveFindings: PC versus SC
Greer (2016) [3]

Randomized controlled, single center; secondary analysis.

 

Advanced lung cancer; n = 151

As compared with SC, early PC was not associated with higher overall medical care expenses. There was a statistical trend for PC patients towards lower mean total cost per day ($117; p = .13). In the last 30 days of life, PC patients had lower chemotherapy expenses (mean difference = $757; p = .03) and higher hospice care costs in last 30 days (mean difference = $1,053; p = .07). Other costs (emergency visits, hospitalizations) not significant over study period.
May (2016) [81]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 906

PC consult ≤2 days of admission associated with lower costs. Cost savings were proportional to patient comorbidity scores: 22% lower for scores of 2–3 and 32% lower for ≥4.
May (2015) [87]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 969

PC consultation ≤2 days and ≤6 days of admission associated with cost reductions of 24% and 14%, respectively.
Whitford (2014) [79]

Retrospective case–control, single‐center.

 

Advanced illness including cancer; n = 5,908

Among patients discharged alive, overall hospitalization costs were lower, and higher numbers (31% versus 1%) were discharged to hospice care. Among patients who died in hospital, costs of PC patients were significantly lower.
Morrison (2011) [76]Retrospective case control, multi‐site. Medicaid patients with advanced illnessHospital cost savings of $4,098 and $7,563 for patients who were discharged alive and when death happened during hospitalization, respectively.
Penrod (2010) [73]

Prospective observational, multi‐site.

 

Advanced illness; n = 3,321

PC patients were approx. 44% less likely to be admitted to ICU, and daily total direct hospital costs were lower than SC patients.
Zhang (2009) [88]

Prospective observational, single center.

 

Advanced cancer; n = 603

Patients who had EOL conversations were less likely to undergo aggressive care (e.g., resuscitation/ventilation, ICU) and more likely to receive hospice care with longer LOS. Cost of care was about 36% lower in the final week of life. Higher costs associated with worse quality of death.
Gade (2008) [59]

Randomized controlled, multi‐center.

 

Advanced illness; n = 517

Six months post hospital discharge, PC patients had fewer ICU admissions on readmission, longer hospice LO,S and about 32% reduction in total health care.
Morrison (2008) [75]

Retrospective case controlled, multi‐site.

 

Advanced illness including cancer; n = 4,402

As compared with SC, PC patients who were discharged alive had significant savings in daily and overall admission costs, including lower laboratory and ICU costs. For PC patients who died in hospital, the net savings in daily and overall admission costs were higher than for patients who were discharged.
Penrod (2006) [72]

Retrospective, observational, multi‐site.

 

40% cancer diagnosis; n = 314

Cost analysis of hospital deaths at two Veterans Affairs hospitals demonstrated PC involvement associated with 40% less likelihood of ICU admission.
Elsayem (2004) [64]

Retrospective, single center.

 

Advanced cancer patients; n = 320

The mean daily PCU charges were 38% lower than the rest of the hospital.
Smith (2003) [82]

Retrospective with case control design, single center.

 

Majority cancer diagnosis; n = 237

Study compared period before and after PCU transfer and found daily charges and costs after transfer to be lower by 66%. For patients who died in PCU versus outside PCU, direct and total costs were lower by 59% and 57%, respectively.
Bruera (2000) [86]

Retrospective, multi‐center.

 

Advanced cancer patients; n = 2,583

Study compared the period before and after PC program implementation and demonstrated significantly lower hospital LOS, hospital mortality, and acute care facility costs after PC program implementation.
Author (Year)Study design/objectiveFindings: PC versus SC
Greer (2016) [3]

Randomized controlled, single center; secondary analysis.

 

Advanced lung cancer; n = 151

As compared with SC, early PC was not associated with higher overall medical care expenses. There was a statistical trend for PC patients towards lower mean total cost per day ($117; p = .13). In the last 30 days of life, PC patients had lower chemotherapy expenses (mean difference = $757; p = .03) and higher hospice care costs in last 30 days (mean difference = $1,053; p = .07). Other costs (emergency visits, hospitalizations) not significant over study period.
May (2016) [81]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 906

PC consult ≤2 days of admission associated with lower costs. Cost savings were proportional to patient comorbidity scores: 22% lower for scores of 2–3 and 32% lower for ≥4.
May (2015) [87]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 969

PC consultation ≤2 days and ≤6 days of admission associated with cost reductions of 24% and 14%, respectively.
Whitford (2014) [79]

Retrospective case–control, single‐center.

 

Advanced illness including cancer; n = 5,908

Among patients discharged alive, overall hospitalization costs were lower, and higher numbers (31% versus 1%) were discharged to hospice care. Among patients who died in hospital, costs of PC patients were significantly lower.
Morrison (2011) [76]Retrospective case control, multi‐site. Medicaid patients with advanced illnessHospital cost savings of $4,098 and $7,563 for patients who were discharged alive and when death happened during hospitalization, respectively.
Penrod (2010) [73]

Prospective observational, multi‐site.

 

Advanced illness; n = 3,321

PC patients were approx. 44% less likely to be admitted to ICU, and daily total direct hospital costs were lower than SC patients.
Zhang (2009) [88]

Prospective observational, single center.

 

Advanced cancer; n = 603

Patients who had EOL conversations were less likely to undergo aggressive care (e.g., resuscitation/ventilation, ICU) and more likely to receive hospice care with longer LOS. Cost of care was about 36% lower in the final week of life. Higher costs associated with worse quality of death.
Gade (2008) [59]

Randomized controlled, multi‐center.

 

Advanced illness; n = 517

Six months post hospital discharge, PC patients had fewer ICU admissions on readmission, longer hospice LO,S and about 32% reduction in total health care.
Morrison (2008) [75]

Retrospective case controlled, multi‐site.

 

Advanced illness including cancer; n = 4,402

As compared with SC, PC patients who were discharged alive had significant savings in daily and overall admission costs, including lower laboratory and ICU costs. For PC patients who died in hospital, the net savings in daily and overall admission costs were higher than for patients who were discharged.
Penrod (2006) [72]

Retrospective, observational, multi‐site.

 

40% cancer diagnosis; n = 314

Cost analysis of hospital deaths at two Veterans Affairs hospitals demonstrated PC involvement associated with 40% less likelihood of ICU admission.
Elsayem (2004) [64]

Retrospective, single center.

 

Advanced cancer patients; n = 320

The mean daily PCU charges were 38% lower than the rest of the hospital.
Smith (2003) [82]

Retrospective with case control design, single center.

 

Majority cancer diagnosis; n = 237

Study compared period before and after PCU transfer and found daily charges and costs after transfer to be lower by 66%. For patients who died in PCU versus outside PCU, direct and total costs were lower by 59% and 57%, respectively.
Bruera (2000) [86]

Retrospective, multi‐center.

 

Advanced cancer patients; n = 2,583

Study compared the period before and after PC program implementation and demonstrated significantly lower hospital LOS, hospital mortality, and acute care facility costs after PC program implementation.

Abbreviations: EOL, end of life; ICU, intensive care unit; LOS, length of stay; PC, palliative care; PCU, PC unit; SC, standard care.

Table 2

Studies demonstrating cost savings associated with PC consultations in the inpatient setting

Author (Year)Study design/objectiveFindings: PC versus SC
Greer (2016) [3]

Randomized controlled, single center; secondary analysis.

 

Advanced lung cancer; n = 151

As compared with SC, early PC was not associated with higher overall medical care expenses. There was a statistical trend for PC patients towards lower mean total cost per day ($117; p = .13). In the last 30 days of life, PC patients had lower chemotherapy expenses (mean difference = $757; p = .03) and higher hospice care costs in last 30 days (mean difference = $1,053; p = .07). Other costs (emergency visits, hospitalizations) not significant over study period.
May (2016) [81]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 906

PC consult ≤2 days of admission associated with lower costs. Cost savings were proportional to patient comorbidity scores: 22% lower for scores of 2–3 and 32% lower for ≥4.
May (2015) [87]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 969

PC consultation ≤2 days and ≤6 days of admission associated with cost reductions of 24% and 14%, respectively.
Whitford (2014) [79]

Retrospective case–control, single‐center.

 

Advanced illness including cancer; n = 5,908

Among patients discharged alive, overall hospitalization costs were lower, and higher numbers (31% versus 1%) were discharged to hospice care. Among patients who died in hospital, costs of PC patients were significantly lower.
Morrison (2011) [76]Retrospective case control, multi‐site. Medicaid patients with advanced illnessHospital cost savings of $4,098 and $7,563 for patients who were discharged alive and when death happened during hospitalization, respectively.
Penrod (2010) [73]

Prospective observational, multi‐site.

 

Advanced illness; n = 3,321

PC patients were approx. 44% less likely to be admitted to ICU, and daily total direct hospital costs were lower than SC patients.
Zhang (2009) [88]

Prospective observational, single center.

 

Advanced cancer; n = 603

Patients who had EOL conversations were less likely to undergo aggressive care (e.g., resuscitation/ventilation, ICU) and more likely to receive hospice care with longer LOS. Cost of care was about 36% lower in the final week of life. Higher costs associated with worse quality of death.
Gade (2008) [59]

Randomized controlled, multi‐center.

 

Advanced illness; n = 517

Six months post hospital discharge, PC patients had fewer ICU admissions on readmission, longer hospice LO,S and about 32% reduction in total health care.
Morrison (2008) [75]

Retrospective case controlled, multi‐site.

 

Advanced illness including cancer; n = 4,402

As compared with SC, PC patients who were discharged alive had significant savings in daily and overall admission costs, including lower laboratory and ICU costs. For PC patients who died in hospital, the net savings in daily and overall admission costs were higher than for patients who were discharged.
Penrod (2006) [72]

Retrospective, observational, multi‐site.

 

40% cancer diagnosis; n = 314

Cost analysis of hospital deaths at two Veterans Affairs hospitals demonstrated PC involvement associated with 40% less likelihood of ICU admission.
Elsayem (2004) [64]

Retrospective, single center.

 

Advanced cancer patients; n = 320

The mean daily PCU charges were 38% lower than the rest of the hospital.
Smith (2003) [82]

Retrospective with case control design, single center.

 

Majority cancer diagnosis; n = 237

Study compared period before and after PCU transfer and found daily charges and costs after transfer to be lower by 66%. For patients who died in PCU versus outside PCU, direct and total costs were lower by 59% and 57%, respectively.
Bruera (2000) [86]

Retrospective, multi‐center.

 

Advanced cancer patients; n = 2,583

Study compared the period before and after PC program implementation and demonstrated significantly lower hospital LOS, hospital mortality, and acute care facility costs after PC program implementation.
Author (Year)Study design/objectiveFindings: PC versus SC
Greer (2016) [3]

Randomized controlled, single center; secondary analysis.

 

Advanced lung cancer; n = 151

As compared with SC, early PC was not associated with higher overall medical care expenses. There was a statistical trend for PC patients towards lower mean total cost per day ($117; p = .13). In the last 30 days of life, PC patients had lower chemotherapy expenses (mean difference = $757; p = .03) and higher hospice care costs in last 30 days (mean difference = $1,053; p = .07). Other costs (emergency visits, hospitalizations) not significant over study period.
May (2016) [81]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 906

PC consult ≤2 days of admission associated with lower costs. Cost savings were proportional to patient comorbidity scores: 22% lower for scores of 2–3 and 32% lower for ≥4.
May (2015) [87]

Prospective observational, multi‐site.

 

Advanced cancer patients; n = 969

PC consultation ≤2 days and ≤6 days of admission associated with cost reductions of 24% and 14%, respectively.
Whitford (2014) [79]

Retrospective case–control, single‐center.

 

Advanced illness including cancer; n = 5,908

Among patients discharged alive, overall hospitalization costs were lower, and higher numbers (31% versus 1%) were discharged to hospice care. Among patients who died in hospital, costs of PC patients were significantly lower.
Morrison (2011) [76]Retrospective case control, multi‐site. Medicaid patients with advanced illnessHospital cost savings of $4,098 and $7,563 for patients who were discharged alive and when death happened during hospitalization, respectively.
Penrod (2010) [73]

Prospective observational, multi‐site.

 

Advanced illness; n = 3,321

PC patients were approx. 44% less likely to be admitted to ICU, and daily total direct hospital costs were lower than SC patients.
Zhang (2009) [88]

Prospective observational, single center.

 

Advanced cancer; n = 603

Patients who had EOL conversations were less likely to undergo aggressive care (e.g., resuscitation/ventilation, ICU) and more likely to receive hospice care with longer LOS. Cost of care was about 36% lower in the final week of life. Higher costs associated with worse quality of death.
Gade (2008) [59]

Randomized controlled, multi‐center.

 

Advanced illness; n = 517

Six months post hospital discharge, PC patients had fewer ICU admissions on readmission, longer hospice LO,S and about 32% reduction in total health care.
Morrison (2008) [75]

Retrospective case controlled, multi‐site.

 

Advanced illness including cancer; n = 4,402

As compared with SC, PC patients who were discharged alive had significant savings in daily and overall admission costs, including lower laboratory and ICU costs. For PC patients who died in hospital, the net savings in daily and overall admission costs were higher than for patients who were discharged.
Penrod (2006) [72]

Retrospective, observational, multi‐site.

 

40% cancer diagnosis; n = 314

Cost analysis of hospital deaths at two Veterans Affairs hospitals demonstrated PC involvement associated with 40% less likelihood of ICU admission.
Elsayem (2004) [64]

Retrospective, single center.

 

Advanced cancer patients; n = 320

The mean daily PCU charges were 38% lower than the rest of the hospital.
Smith (2003) [82]

Retrospective with case control design, single center.

 

Majority cancer diagnosis; n = 237

Study compared period before and after PCU transfer and found daily charges and costs after transfer to be lower by 66%. For patients who died in PCU versus outside PCU, direct and total costs were lower by 59% and 57%, respectively.
Bruera (2000) [86]

Retrospective, multi‐center.

 

Advanced cancer patients; n = 2,583

Study compared the period before and after PC program implementation and demonstrated significantly lower hospital LOS, hospital mortality, and acute care facility costs after PC program implementation.

Abbreviations: EOL, end of life; ICU, intensive care unit; LOS, length of stay; PC, palliative care; PCU, PC unit; SC, standard care.

Possible reasons why PC consultation is capable of reducing costs include reduction in ICU admissions/LOS and the avoidance of or reduction in nonbeneficial expensive procedures . A case‐control study [82] demonstrated significantly lower costs of care for medically complex terminally ill patients who died in a dedicated PC unit (PCU) as compared with those who died outside the PCU and were cared for by other medical or surgical services. This study demonstrated over 50% reduction in daily charges, direct costs, and total costs of care for the PCU patients. In the community setting, hospice care was shown to decrease the use of inappropriate health system resources . There is also evidence of less intensive care with in‐home (non‐hospice) PC, as demonstrated by an RCT that found lower EC and hospital use in conjunction with higher patient satisfaction [91].

Summary  and Recommendations

PC has taken much more time to be adopted by organized medicine as compared with other specialty services such as critical care or emergency medicine. One possible reason is that PC has not emerged from academic medicine but from a community hospice program in the United Kingdom. Over recent decades, though, the rapid growth of PC programs across U.S. hospitals and cancer centers testifies to the value proposition, initially based on the evidence that terminally ill patients were not receiving needed care, and more recently with research showing PC benefits in multiple domains.

There is a need for ongoing research in several areas of PC delivery and its integration with oncology. There continues to be substantial regional variability in how PC is delivered in terms of care settings, triggers for referral, team composition, and content of PC interventions. Currently, the predominant model of PC delivery in the U.S. is via inpatient consult services, without an outpatient clinic . Although inpatient PC programs provide much‐needed symptom relief to acutely hospitalized patients, such referrals occur very late in the illness trajectory . A host of oncologist‐, patient‐, or system‐related concerns and challenges continues to affect earlier PC referral [102]. Referring oncologists worry about the name of PC itself, particularly for early referral. For this reason, we had previously adopted the name “supportive care” for outpatient and inpatient consult programs and demonstrated dramatic [101] and sustained [103] increase in all referrals, including those earlier in the illness trajectory. Still, today PC is mostly driven by the inpatient consultation programs, in which an inadequate workforce is unable to provide care for large numbers of hospitalized patients and inevitably focuses on delivering care for those at the very end of life.

The future of PC integration is linked to the establishment of outpatient programs that facilitate earlier referrals, which have been shown to improve outcomes in cancer patients and are one of the major indicators of integration [104]. However, the exact timing for initiation of outpatient PC referral remains unclear. It may be possible that when patients are referred too early to PC specialists they have few or minimal symptoms, and referring them may not be beneficial to patients. In RCTs described earlier, PC referral was based on diagnosis and prognosis rather than on symptom burden, in contrast to current practice, in which oncologists refer on an as‐needed basis. Even in cancer centers with large PC programs, the adoption of PC has not been found to be uniform, with significant variations in referral pattern between oncology services, being higher for gastrointestinal and lung malignancies and lower for hematological malignancies[103].

It is unlikely that the health care system will have enough PC specialists anytime soon, so it is imperative to find an optimal balance between primary (the delivery of PC by non‐PC specialists such as oncologists and primary care clinicians) versus specialist PC. Oncology fellows report their PC education during training to be inadequate [105], with only a minority receiving mandatory rotations in PC [93], which is essential in gaining basic expertise in pain and symptom management.

The key to successful integration is to focus on collaboration and communication between oncologists and PC clinicians about roles and responsibilities between those clinicians with patients and families regarding the goals of care. Current data suggest communication gaps in eliciting individual preferences for communication . Recent preliminary studies suggest the usefulness of communication aids such as prompt sheets [106] or cards [107]. Although critical, there is very limited research on ways of improving communications between care providers themselves. To our knowledge, no studies have directly examined the role of oncologists or general practioners in the provision of primary PC, and more research is warranted.

The interdisciplinary nature of PC uniquely enables it to address the multidimensional care needs of patients. Studies incorporating interdisciplinary involvement consistently show improvements in outcomes , whereas studies utilizing uni‐disciplinary approaches show mixed findings . Currently, it is not clear how a particular PC intervention component relates to patient outcomes, and a better definition of the content of these interventions is also needed. Furthermore, although a survival benefit was associated with early PC involvement in advanced lung cancer patients [7], it is not clear which aspect of PC intervention made this possible.

Conclusion

In the past 5 decades, PC has undergone remarkable growth, evolving from a philosophy of care to a professional discipline that provides specialized care for people with serious illness. Recognizing large gaps between high‐quality end‐of‐life care and current practices across the U.S. , PC integration in health care systems has been strongly advocated to ensure access to good pain and symptom relief, practical support, and high‐quality end‐of‐life care [23]. When integrated with standard oncological care, PC improves patient outcomes, including symptom burden, QoL, and end‐of‐life outcomes, all achieved with lower associated costs. Substantial work and research are still warranted at all levels to formulate quality metrics that create explicit standards in end‐of‐life care, to increase PC‐trained workforce and resources, to best integrate PC into medical education and health care systems, to improve communication and responsiveness to patient’s and family’s needs and preferences, to develop a system of seamless, coordinated end‐of‐life care, and to support quality research in PC and end‐of‐life care.

Acknowledgments

Eduardo Bruera is supported in part by National Institutes of Health grant numbers RO1NR010162‐01A1, RO1CA122292‐01, and RO1CA124481‐01 and in part by the MD Anderson Cancer Center Support Grant number CA 016672.

Author Contributions

Conception/Design: Shalini Dalal, Eduardo Bruera

Collection and/or assembly of data: Eduardo Bruera

Data analysis and interpretation: Shalini Dalal, Eduardo Bruera

Manuscript writing: Shalini Dalal, Eduardo Bruera

Final approval of manuscript: Shalini Dalal, Eduardo Bruera

Disclosures

The authors indicated no financial relationships.

For Further Reading: Breffni Hannon, Nadia Swami, Ashley Pope et al. Early Palliative Care and Its Role in Oncology: A Qualitative Study. The Oncologist 2016;21:1387‐1395.

Implications for Practice: Patients and their caregivers who experienced early palliative care described the roles of their oncologists and palliative care physicians as being discrete and complementary, with both specialties contributing to excellent patient care. The findings of the present research support an integrated approach to care for patients with advanced cancer, which involves early collaborative care in the ambulatory setting by experts in both oncology and palliative medicine. This can be achieved by more widespread establishment of ambulatory palliative care clinics, encouragement of timely outpatient referral to palliative care, and education of oncologists in palliative care.

References

1

Ferrell
 
B
,
Sun
 
V
,
Hurria
 
A
 et al. .
Interdisciplinary palliative care for patients with lung cancer
.
J Pain Symptom Manage
 
2015
;
50
:
758
767
.

2

Grudzen
 
CR
,
Richardson
 
LD
,
Johnson
 
PN
 et al. .
Emergency department‐initiated palliative care in advanced cancer: A randomized clinical trial
.
JAMA Oncol
 
2016
[Epub ahead of print].

3

Greer
 
JA
,
Tramontano
 
AC
,
McMahon
 
PM
 et al. .
Cost analysis of a randomized trial of early palliative care in patients with metastatic nonsmall‐cell lung cancer
.
J Palliat Med
 
2016
;
19
:
842
848
.

4

Zimmermann
 
C
,
Swami
 
N
,
Krzyzanowska
 
M
 et al. .
Early palliative care for patients with advanced cancer: A cluster‐randomised controlled trial
.
Lancet
 
2014
;
383
:
1721
1730
.

5

Kavalieratos
 
D
,
Corbelli
 
J
,
Zhang
 
D
.
Association between palliative care and patient and caregiver outcomes: A systematic review and meta‐analysis
.
JAMA.
 
2016
;
316
:
2104
2114
.

6

Bakitas
 
MA
,
Tosteson
 
TD
,
Li
 
Z
 et al. .
Early versus delayed initiation of concurrent palliative oncology care: Patient outcomes in the ENABLE III randomized controlled trial
.
J Clin Oncol
 
2015
;
33
:
1438
1445
.

7

Temel
 
JS
,
Greer
 
JA
,
Muzikansky
 
A
 et al. .
Early palliative care for patients with metastatic non‐small‐cell lung cancer
.
N Engl J Med
 
363
:
733
42
,
2010

8

Bakitas
 
M
,
Lyons
 
KD
,
Hegel
 
MT
 et al. .
The project ENABLE II randomized controlled trial to improve palliative care for rural patients with advanced cancer: Baseline findings, methodological challenges, and solutions
.
Palliat Support Care
 
2009
;
7
:
75
86
.

9

United States Committee on Ways and Means, United States Committee on Energy and Commerce, Committee on Education and Labor et al. . Compilation of Patient Protection and Affordable Care Act: As amended through November 1, 2010 including Patient Protection and Affordable Care Act, health‐related portions of the Health Care, and Education Reconciliation Act of 2010. Washington, D.C.: U.S. Government Printing Office,

2010
.

10

Institute of Medicine (US) Committee on Quality of Health Care in America
.
Crossing the quality chasm: A new health system for the 21st century
.
Washington, D.C
.:
National Academy Press
,
2001
.

11

Porter
 
ME.
 
What is value in health care?
 
N Engl J Med
 
2010
;
363
:
2477
2481
.

12

Solano
 
JP
,
Gomes
 
B
,
Higginson
 
IJ.
 
A comparison of symptom prevalence in far advanced cancer, AIDS, heart disease, chronic obstructive pulmonary disease and renal disease
.
J Pain Symptom Manage
 
2006
;
31
:
58
69
.

13

van
 
den Beuken‐van Everdingen
 
MH
,
de
 
Rijke
 
JM
,
Kessels
 
AG
 et al. .
Prevalence of pain in patients with cancer: A systematic review of the past 40 years
.
Ann Oncol
 
2007
;
18
:
1437
1449
.

14

Steinhauser
 
KE
,
Clipp
 
EC
,
McNeilly
 
M
 et al. .
In search of a good death: Observations of patients, families, and providers
.
Ann Intern Med
 
2000
;
132
:
825
832
.

15

Approaching death
:
Improving care at the end of life–A report of the Institute of Medicine
.
Health Serv Res
 
1998
;
33
:
1
3
.

16

Morrison
 
RS
,
Maroney‐Galin
 
C
,
Kralovec
 
PD
 et al. .
The growth of palliative care programs in United States hospitals
.
J Palliat Med
 
2005
;
8
:
1127
1134
.

17

National Hospice and Palliative Care Organization
. NHPCO’s facts and figures on hospice care in America. Alexandria, VA: National Hospice and Palliative Care Organization,
2015
.

18

Earle
 
CC
,
Park
 
ER
,
Lai
 
B
 et al. .
Identifying potential indicators of the quality of end‐of‐life cancer care from administrative data
.
J Clin Oncol
 
2003
;
21
:
1133
1138
.

19

Earle
 
CC
,
Landrum
 
MB
,
Souza
 
JM
 et al. .
Aggressiveness of cancer care near the end of life: Is it a quality‐of‐care issue?
 
J Clin Oncol
 
2008
;
26
:
3860
3866
.

20

Jacobson
 
JO
,
Neuss
 
MN
,
Hauser
 
R.
 
Measuring and improving value of care in oncology practices: ASCO programs from quality oncology practice initiative to the rapid learning system
.
Am Soc Clin Oncol Educ Book
 
2012
:
e70
e76
.

21

Singer
 
AE
,
Meeker
 
D
,
Teno
 
JM
 et al. .
Symptom trends in the last year of life from 1998 to 2010: A cohort study
.
Ann Intern Med
 
2015
;
162
:
175
183
.

22

Teno
 
JM
,
Freedman
 
VA
,
Kasper
 
JD
 et al. .
Is care for the dying improving in the United States?
 
J Palliat Med
 
2015
;
18
:
662
666
.

23

Committee on Approaching Death, Institute of Medicine
.
Dying in America: Improving quality and honoring individual preferences near the end of life
.
Mil Med
 
2015
;
180
:
365
367
.

24

Committee on Improving the Quality of Cancer Care
,
Levit
 
L
,
Balogh
 
A
, eds.
Delivering high‐quality cancer care: Charting a new course for a system in Crisis
.
Washington, D.C
.:
National Academies Press
,
2013
.

25

Pritchard
 
RS
,
Fisher
 
ES
,
Teno
 
JM
 et al. .
Influence of patient preferences and local health system characteristics on the place of death. SUPPORT investigators. Study to Understand Prognoses and Preferences for Risks and Outcomes of Treatment
.
J Am Geriatr Soc
 
1998
;
46
:
1242
1250
.

26

Connors
 
AF
 Jr.,
Dawson
 
NV
,
Desbiens
 
NA
 et al. .
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). The SUPPORT Principal Investigators
.
JAMA
 
1995
;
274
:
1591
1598
.

27

Barnato
 
AE
,
Herndon
 
MB
,
Anthony
 
DL
 et al. .
Are regional variations in end‐of‐life care intensity explained by patient preferences?: A study of the US Medicare population
.
Med Care
 
2007
;
45
:
386
393
.

28

Rose
 
JH
,
O’Toole
 
EE
,
Dawson
 
NV
 et al. .
Perspectives, preferences, care practices, and outcomes among older and middle‐aged patients with late‐stage cancer
.
J Clin Oncol
 
2004
;
22
:
4907
4017
.

29

Townsend
 
J
,
Frank
 
AO
,
Fermont
 
D
 et al. .
Terminal cancer care and patients’ preference for place of death: A prospective study
.
BMJ
 
1990
;
301
:
415
417
.

30

Gott
 
M
,
Seymour
 
J
,
Bellamy
 
G
 et al. .
Older people’s views about home as a place of care at the end of life
.
Palliat Med
 
2004
;
18
:
460
467
.

31

Barnato
 
AE
,
Anthony
 
DL
,
Skinner
 
J
 et al. .
Racial and ethnic differences in preferences for end‐of‐life treatment
.
J Gen Intern Med
 
2009
;
24
:
695
701
.

32

Barnato
 
AE
,
McClellan
 
MB
,
Kagay
 
CR
 et al. .
Trends in inpatient treatment intensity among Medicare beneficiaries at the end of life
.
Health Serv Res
 
2004
;
39
:
363
375
.

33

Teno
 
JM
,
Clarridge
 
BR
,
Casey
 
V
 et al. .
Family perspectives on end‐of‐life care at the last place of care
.
JAMA
 
2004
;
291
:
88
93
.

34

Teno
 
JM
,
Gozalo
 
PL
,
Bynum
 
JP
 et al. .
Change in end‐of‐life care for Medicare beneficiaries: Site of death, place of care, and health care transitions in 2000, 2005, and 2009
.
JAMA
 
2013
;
309
:
470
477
.

35

Bruera
 
E
,
Sweeney
 
C
,
Calder
 
K
 et al. .
Patient preferences versus physician perceptions of treatment decisions in cancer care
.
J Clin Oncol
 
2001
;
19
:
2883
2885
.

36

Degner
 
LF
,
Kristjanson
 
LJ
,
Bowman
 
D
 et al. .
Information needs and decisional preferences in women with breast cancer
.
JAMA
 
1997
;
277
:
1485
1492
.

37

Yennurajalingam
 
S
,
Parsons
 
HA
,
Duarte
 
ER
 et al. .
Decisional control preferences of Hispanic patients with advanced cancer from the United States and Latin America
.
J Pain Symptom Manage
 
2013
;
46
:
376
385
.

38

Noguera
 
A
,
Yennurajalingam
 
S
,
Torres‐Vigil
 
I
 et al. .
Decisional control preferences, disclosure of information preferences, and satisfaction among Hispanic patients with advanced cancer
.
J Pain Symptom Manage
 
2014
;
47
:
896
905
.

39

Singh
 
JA
,
Sloan
 
JA
,
Atherton
 
PJ
 et al. .
Preferred roles in treatment decision making among patients with cancer: A pooled analysis of studies using the Control Preferences Scale
.
Am J Manag Care
 
2010
;
16
:
688
696
.

40

Wright
 
AA
,
Zhang
 
B
,
Ray
 
A
 et al. .
Associations between end‐of‐life discussions, patient mental health, medical care near death, and caregiver bereavement adjustment
.
JAMA
 
2008
;
300
:
1665
1673
.

41

Wright
 
AA
,
Keating
 
NL
,
Ayanian
 
JZ
 et al. .
Family perspectives on aggressive cancer care near the end of life
.
JAMA
 
2016
;
315
:
284
292
.

42

Dionne‐Odom
 
JN
,
Azuero
 
A
,
Lyons
 
KD
 et al. .
Benefits of early versus delayed palliative care to informal family caregivers of patients with advanced cancer: Outcomes from the ENABLE III randomized controlled trial
.
J Clin Oncol
 
2015
;
33
:
1446
1452
.

43

Dionne‐Odom
 
JN
,
Azuero
 
A
,
Lyons
 
KD
 et al. .
Family caregiver depressive symptom and grief outcomes from the ENABLE III randomized controlled trial
.
J Pain Symptom Manage
 
2016
;
52
:
378
385
.

44

Cohen
 
RA
,
Kirzinger
 
WK.
 
Financial burden of medical care: A family perspective
.
NCHS Data Brief
 
2014
:
1
8
.

45

Bernard
 
DS
,
Farr
 
SL
,
Fang
 
Z.
 
National estimates of out‐of‐pocket health care expenditure burdens among nonelderly adults with cancer: 2001 to 2008
.
J Clin Oncol
 
2011
;
29
:
2821
2826
.

46

Davidoff
 
AJ
,
Erten
 
M
,
Shaffer
 
T
 et al. .
Out‐of‐pocket health care expenditure burden for Medicare beneficiaries with cancer
.
Cancer
 
2013
;
119
:
1257
1265
.

47

Goldman
 
DP
,
Joyce
 
GF
,
Lawless
 
G
 et al. .
Benefit design and specialty drug use
.
Health Aff (Millwood)
 
2006
;
25
:
1319
1331
.

48

Narang
 
AK
,
Nicholas
 
LH.
 
Out‐of‐pocket spending and financial burden among Medicare beneficiaries with cancer
.
JAMA Oncol
 
2016
[Epub ahead of print].

49

Delgado‐Guay
 
M
,
Ferrer
 
J
,
Rieber
 
AG
 et al. .
Financial distress and its associations with physical and emotional symptoms and quality of life among advanced cancer patients
.
The Oncologist
 
2015
;
20
:
1092
1098
.

50

Neumann
 
PJ
,
Palmer
 
JA
,
Nadler
 
E
 et al. .
Cancer therapy costs influence treatment: A national survey of oncologists
.
Health Aff (Millwood)
 
2010
;
29
:
196
202
.

51

Meghani
 
SH
,
Hinds
 
PS.
 
Policy brief: The Institute of Medicine report Dying in America: Improving quality and honoring individual preferences near the end of life
.
Nurs Outlook
 
2015
;
63
:
51
59
.

52

El‐Jawahri
 
A
,
LeBlanc
 
T
,
VanDusen
 
H
 et al. .
Effect of inpatient palliative care on quality of life 2 weeks after hematopoietic stem cell transplantation:
 
A randomized clinical trial. JAMA
 
2016
;
316
:
2094
2103
.

53

Temel
 
JS
,
El‐Jawahri
 
A
,
Greer
 
JA
 et al. .
Randomized trial of early integrated palliative and oncology care. 2016 ASCO Annual Meeting
.
J Clin Oncol
 
2016
;
34
:(suppl; abstr 10003).

54

Higginson
 
IJ
,
Finlay
 
I
,
Goodwin
 
DM
 et al. .
Do hospital‐based palliative teams improve care for patients or families at the end of life?
 
J Pain Symptom Manage
 
2002
;
23
:
96
106
.

55

Bakitas
 
M
,
Lyons
 
KD
,
Hegel
 
MT
 et al. .
Effects of a palliative care intervention on clinical outcomes in patients with advanced cancer: The Project ENABLE II randomized controlled trial
.
JAMA
 
2009
;
302
:
741
749
.

56

Balboni
 
TA
,
Vanderwerker
 
LC
,
Block
 
SD
 et al. .
Religiousness and spiritual support among advanced cancer patients and associations with end‐of‐life treatment preferences and quality of life
.
J Clin Oncol
 
2007
;
25
:
555
560
.

57

Pantilat
 
SZ
,
O’Riordan
 
DL
,
Dibble
 
SL
 et al. .
Hospital‐based palliative medicine consultation: A randomized controlled trial
.
Arch Intern Med
 
2010
;
170
:
2038
2040
.

58

Braiteh
 
F
,
El Osta
 
B
,
Palmer
 
JL
 et al. .
Characteristics, findings, and outcomes of palliative care inpatient consultations at a comprehensive cancer center
.
J Palliat Med
 
2007
;
10
:
948
955
.

59

Gade
 
G
,
Venohr
 
I
,
Conner
 
D
 et al. .
Impact of an inpatient palliative care team: A randomized control trial
.
J Palliat Med
 
2008
;
11
:
180
190
.

60

Hui
 
D
,
Shamieh
 
O
,
Paiva
 
CE
 et al. .
Minimal clinically important difference in the physical, emotional, and total symptom distress scores of the Edmonton Symptom Assessment System
.
J Pain Symptom Manage
 
2016
;
51
:
262
269
.

61

Hui
 
D
,
Shamieh
 
O
,
Paiva
 
CE
 et al. .
Minimal clinically important differences in the Edmonton Symptom Assessment Scale in cancer patients: A prospective, multicenter study
.
Cancer
 
2015
;
121
:
3027
3035
.

62

Delgado‐Guay
 
MO
,
Parsons
 
HA
,
Li
 
Z
 et al. .
Symptom distress, interventions, and outcomes of intensive care unit cancer patients referred to a palliative care consult team
.
Cancer
 
2009
;
115
:
437
445
.

63

O’Mahony
 
S
,
McHenry
 
J
,
Blank
 
AE
 et al. .
Preliminary report of the integration of a palliative care team into an intensive care unit
.
Palliat Med
 
2010
;
24
:
154
165
.

64

Elsayem
 
A
,
Swint
 
K
,
Fisch
 
MJ
 et al. .
Palliative care inpatient service in a comprehensive cancer center: Clinical and financial outcomes
.
J Clin Oncol
 
2004
;
22
:
2008
2014
.

65

Casarett
 
D
,
Johnson
 
M
,
Smith
 
D
 et al. .
The optimal delivery of palliative care: A national comparison of the outcomes of consultation teams vs inpatient units
.
Arch Intern Med
 
2011
;
171
:
649
655
.

66

Lagman
 
R
,
Rivera
 
N
,
Walsh
 
D
 et al. .
Acute inpatient palliative medicine in a cancer center: Clinical problems and medical interventions: A prospective study
.
Am J Hosp Palliat Care
 
2007
;
24
:
20
28
.

67

Kane
 
RL
,
Wales
 
J
,
Bernstein
 
L
 et al. .
A randomised controlled trial of hospice care
.
Lancet
 
1984
;
1
:
890
894
.

68

Teno
 
JM
,
Shu
 
JE
,
Casarett
 
D
 et al. .
Timing of referral to hospice and quality of care: Length of stay and bereaved family members’ perceptions of the timing of hospice referral
.
J Pain Symptom Manage
 
2007
;
34
:
120
125
.

69

Miller
 
SC
,
Lima
 
J
,
Gozalo
 
PL
 et al. .
The growth of hospice care in U.S. nursing homes
.
J Am Geriatr Soc
 
2010
;
58
:
1481
1488
.

70

Kris
 
AE
,
Cherlin
 
EJ
,
Prigerson
 
H
 et al. .
Length of hospice enrollment and subsequent depression in family caregivers: 13‐month follow‐up study
.
Am J Geriatr Psychiatry
 
2006
;
14
:
264
269
.

71

Connor
 
SR
,
Pyenson
 
B
,
Fitch
 
K
 et al. .
Comparing hospice and nonhospice patient survival among patients who die within a three‐year window
.
J Pain Symptom Manage
 
2007
;
33
:
238
246
.

72

Penrod
 
JD
,
Deb
 
P
,
Luhrs
 
C
 et al. .
Cost and utilization outcomes of patients receiving hospital‐based palliative care consultation
.
J Palliat Med
 
2006
;
9
:
855
860
.

73

Penrod
 
JD
,
Deb
 
P
,
Dellenbaugh
 
C
 et al. .
Hospital‐based palliative care consultation: Effects on hospital cost
.
J Palliat Med
 
2010
;
13
:
973
979
.

74

May
 
P
,
Normand
 
C
,
Morrison
 
RS.
 
Economic impact of hospital inpatient palliative care consultation: Review of current evidence and directions for future research
.
J Palliat Med
 
2014
;
17
:
1054
1063
.

75

Morrison
 
RS
,
Penrod
 
JD
,
Cassel
 
JB
 et al. .
Cost savings associated with US hospital palliative care consultation programs
.
Arch Intern Med
 
2008
;
168
:
1783
1790
.

76

Morrison
 
RS
,
Dietrich
 
J
,
Ladwig
 
S
 et al. .
Palliative care consultation teams cut hospital costs for Medicaid beneficiaries
.
Health Aff (Millwood)
 
2011
;
30
:
454
463
.

77

Ciemins
 
EL
,
Blum
 
L
,
Nunley
 
M
 et al. .
The economic and clinical impact of an inpatient palliative care consultation service: A multifaceted approach
.
J Palliat Med
 
2007
;
10
:
1347
1355
.

78

Bendaly
 
EA
,
Groves
 
J
,
Juliar
 
B
 et al. .
Financial impact of palliative care consultation in a public hospital
.
J Palliat Med
 
2008
;
11
:
1304
1308
.

79

Whitford
 
K
,
Shah
 
ND
,
Moriarty
 
J
 et al. .
Impact of a palliative care consult service
.
Am J Hosp Palliat Care
 
2014
;
31
:
175
182
.

80

Hanson
 
LC
,
Usher
 
B
,
Spragens
 
L
 et al. .
Clinical and economic impact of palliative care consultation
.
J Pain Symptom Manage
 
2008
;
35
:
340
346
.

81

May
 
P
,
Garrido
 
MM
,
Cassel
 
JB
 et al. .
Palliative care teams’ cost‐saving effect is larger for cancer patients with higher numbers of comorbidities
.
Health Aff (Millwood)
 
2016
;
35
:
44
53
.

82

Smith
 
TJ
,
Coyne
 
P
,
Cassel
 
B
 et al. .
A high‐volume specialist palliative care unit and team may reduce in‐hospital end‐of‐life care costs
.
J Palliat Med
 
2003
;
6
:
699
705
.

83

Campbell
 
ML
,
Guzman
 
JA.
 
Impact of a proactive approach to improve end‐of‐life care in a medical ICU
.
Chest
 
2003
;
123
:
266
271
.

84

Campbell
 
ML
,
Guzman
 
JA.
 
A proactive approach to improve end‐of‐life care in a medical intensive care unit for patients with terminal dementia
.
Crit Care Med
 
2004
;
32
:
1839
1843
.

85

Norton
 
SA
,
Hogan
 
LA
,
Holloway
 
RG
 et al. .
Proactive palliative care in the medical intensive care unit: Effects on length of stay for selected high‐risk patients
.
Crit Care Med
 
2007
;
35
:
1530
1535
.

86

Bruera
 
E
,
Neumann
 
CM
,
Gagnon
 
B
 et al. .
The impact of a regional palliative care program on the cost of palliative care delivery
.
J Palliat Med
 
2000
;
3
:
181
186
.

87

May
 
P
,
Garrido
 
MM
,
Cassel
 
JB
 et al. .
Prospective cohort study of hospital palliative care teams for inpatients with advanced cancer: Earlier consultation is associated with larger cost‐saving effect
.
J Clin Oncol
 
2015
;
33
:
2745
2752
.

88

Zhang
 
B
,
Wright
 
AA
,
Huskamp
 
HA
 et al. .
Health care costs in the last week of life: Associations with end‐of‐life conversations
.
Arch Intern Med
 
2009
;
169
:
480
488
.

89

Taylor
 
DH
 Jr,
Ostermann
 
J
,
Van
 
Houtven
 
CH
 et al. .
What length of hospice use maximizes reduction in medical expenditures near death in the US Medicare program?
 
Soc Sci Med
 
2007
;
65
:
1466
1478
.

90

Mor
 
V
,
Kidder
 
D.
 
Cost savings in hospice: Final results of the National Hospice Study
.
Health Serv Res
 
1985
;
20
:
407
422
.

91

Brumley
 
R
,
Enguidanos
 
S
,
Jamison
 
P
 et al. .
Increased satisfaction with care and lower costs: Results of a randomized trial of in‐home palliative care
.
J Am Geriatr Soc
 
2007
;
55
:
993
1000
.

92

Dev
 
R
,
Del Fabbro
 
E
,
Miles
 
M
 et al. .
Growth of an academic palliative medicine program: Patient encounters and clinical burden
.
J Pain Symptom Manage
 
2013
;
45
:
261
271
.

93

Hui
 
D
,
Elsayem
 
A
,
De
 
la Cruz
 
M
 et al. .
Availability and integration of palliative care at US cancer centers
.
JAMA
 
2010
;
303
:
1054
1061
.

94

Dumanovsky
 
T
,
Augustin
 
R
,
Rogers
 
M
, et al. .
The growth of palliative care in US hospitals: A status report
.
J Palliat Med
.
2016
;
19
:
8
15
.

95

Hui
 
D
,
Kim
 
SH
,
Kwon
 
JH
 et al. .
Access to palliative care among patients treated at a comprehensive cancer center
.
The Oncologist
 
2012
;
17
:
1574
1580
.

96

Cheng
 
WW
,
Willey
 
J
,
Palmer
 
JL
 et al. .
Interval between palliative care referral and death among patients treated at a comprehensive cancer center
.
J Palliat Med
 
2005
;
8
:
1025
1032
.

97

Osta
 
BE
,
Palmer
 
JL
,
Paraskevopoulos
 
T
 et al. .
Interval between first palliative care consult and death in patients diagnosed with advanced cancer at a comprehensive cancer center
.
J Palliat Med
 
2008
;
11
:
51
57
.

98

Good
 
PD
,
Cavenagh
 
J
,
Ravenscroft
 
PJ.
 
Survival after enrollment in an Australian palliative care program
.
J Pain Symptom Manage
 
2004
;
27
:
310
315
.

99

Morita
 
T
,
Akechi
 
T
,
Ikenaga
 
M
 et al. .
Late referrals to specialized palliative care service in Japan
.
J Clin Oncol
 
2005
;
23
:
2637
2644
.

100

Reville
 
B
,
Miller
 
MN
,
Toner
 
RW
 et al. .
End‐of‐life care for hospitalized patients with lung cancer: Utilization of a palliative care service
.
J Palliat Med
 
2010
;
13
:
1261
1266
.

101

Dalal
 
S
,
Palla
 
S
,
Hui
 
D
 et al. .
Association between a name change from palliative to supportive care and the timing of patient referrals at a comprehensive cancer center
.
The Oncologist
 
2011
;
16
:
105
111
.

102

Davis
 
MP
,
Bruera
 
E
,
Morganstern
 
D.
 
Early integration of palliative and supportive care in the cancer continuum: Challenges and opportunities
.
Am Soc Clin Oncol Educ Book
 
2013
:
144
150
.

103

Dalal
 
S
,
Bruera
 
S
,
Hui
 
D
 et al. .
Use of palliative care services in a tertiary cancer center
.
The Oncologist
 
2016
;
21
:
110
118
.

104

Hui
 
D
,
Bansal
 
S
,
Strasser
 
F
 et al. .
Indicators of integration of oncology and palliative care programs: An international consensus
.
Ann Oncol
 
2015
;
26
:
1953
1959
.

105

Buss
 
MK
,
Lessen
 
DS
,
Sullivan
 
AM
 et al. .
Hematology/oncology fellows’ training in palliative care: Results of a national survey
.
Cancer
 
2011
;
117
:
4304
4311
.

106

Arthur
 
J
,
Yennurajalingam
 
S
,
Williams
 
J
 et al. .
Development of a question prompt sheet for cancer patients receiving outpatient palliative care
.
J Palliat Med
 
2016
;
19
:
883
887
.

107

Delgado‐Guay
 
MO
,
Rodriguez‐Nunez
 
A
,
De
 
la Cruz
 
V
 et al. .
Advanced cancer patients’ reported wishes at the end of life: A randomized controlled trial
.
Support Care Cancer
 
2016
;
24
:
4273
4281
.

108

Temel
 
JS
,
Greer
 
JA
,
Admane
 
S
 et al. .
Longitudinal perceptions of prognosis and goals of therapy in patients with metastatic non‐small‐cell lung cancer: Results of a randomized study of early palliative care
.
J Clin Oncol
 
2011
;
29
:
2319
2326
.

109

Dyar
 
S
,
Lesperance
 
M
,
Shannon
 
R
 et al. .
A nurse practitioner directed intervention improves the quality of life of patients with metastatic cancer: Results of a randomized pilot study
.
J Palliat Med
 
2012
;
15
:
890
895
.

110

Prince‐Paul
 
M
,
Burant
 
CJ
,
Saltzman
 
JN
 et al. .
The effects of integrating an advanced practice palliative care nurse in a community oncology center: A pilot study
.
J Support Oncol
 
2010
;
8
:
21
27
.

111

Dy
 
SM
,
Aslakson
 
R
,
Wilson
 
RF
 et al. .
Closing the quality gap: Revisiting the state of the science (vol. 8: Improving health care and palliative care for advanced and serious illness)
.
Evid Rep Technol Assess (Full Rep)
 
2012
:
1
249
.

Author notes

Disclosures of potential conflicts of interest may be found at the end of this article.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)