Literature DB >> 24793245

A retrospective analysis of factors associated with selection of end-of-life care and actual place of death for patients with cancer.

Shunsuke Kondo1, Taichi Shimazu, Chigusa Morizane, Hiroko Hosoi, Takuji Okusaka, Hideki Ueno.   

Abstract

OBJECTIVES: The factors associated with end-of-life (EOL) care that patients with cancer selected and actual place of death (POD) is less elucidated. We analysed how specific EOL care, especially anticancer therapies, selected by patients with pancreatic carcinoma affected their POD in Japan.
SETTING: A retrospective cohort study using clinical records of a single institute. PARTICIPANTS: This study included 433 advanced or recurrent patients with pancreatic carcinoma who had completed standard chemotherapies and were receiving hospice care in the National Cancer Center Hospital between April 2008 and April 2011. OUTCOME MEASURES: We analysed statistical association factors, demographic information, geographical differences, medical environment, EOL care selection, along with actual POD using logistic regression analysis.
RESULTS: Of the 433 patients, 147 selected palliative care units (PCUs) as the POD; 229, hospital; and 57, home with hospice care. POD selection was associated with several factors. Notably, EOL care selection, especially the use of complementary and alternative medicine (CAM), is associated with POD selection (death in PCU; OR=0.23, p=0.02).
CONCLUSIONS: This study is, to the best of our knowledge, the first to unveil that EOL care selection is associated with POD in Japan. Certain factors such as gender, medical environment and EOL care selection might influence the POD. Patients who pursue aggressive anticancer therapies, such as CAM use, were possibly deprived of a chance of early reference to a PCU.

Entities:  

Mesh:

Year:  2014        PMID: 24793245      PMCID: PMC4024592          DOI: 10.1136/bmjopen-2013-004352

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This study is the first to unveil that end-of-life care selection is associated with place of death in Japan. Patients who pursue aggressive anticancer therapies, such as complementary and alternative medicine use, were possibly deprived of a chance of early reference to the palliative care unit. Limitations of this study should be considered, including its retrospective nature and the involvement of a single institution. Therefore, the findings may not be entirely representative of patients receiving cancer treatment at other Japanese cancer hospitals.

Introduction

In Japan, the Cancer Control Act was established to improve the quality of life (QOL) of all patients with cancer, and disseminating palliative care was identified as one of the most important areas to be improved. To disseminate quality palliative care, palliative care units (PCUs) and palliative care team were established. Although PCU is the most common type of specialised palliative care service in Japan,1 patients with cancer can choose their place of death (POD) as either PCUs, home with hospice or non-PCU hospitals. Dying at a preferred place is one of the most important determinants for terminally ill patients with cancer.2 3 In some previous reports, POD for patients with cancer was influenced by several factors such as illness, demographic variables, personal variables, social support and relationship with the physician.4 5 Moreover, patients who optimistically estimated their prognoses are more likely to undergo aggressive treatment, but controlling for known prognostic factors, their 6-month survival is no better.6 Choice of cancer therapy at the EOL is becoming increasingly complex due to more options for therapy, high expectations from therapy, less toxic treatments and better supportive care. Consequences of these choices may have an enormous impact on patients and families (caregiver) and societal healthcare costs. Although less aggressive care, especially palliative care, at the EOL is associated with better QOL near death,7 8 patients with cancer are receiving increasingly aggressive care at the EOL.9 10 The use of complementary and alternative medicine (CAM) as an aggressive anticancer therapy has been increasing worldwide over the past two decades, and an estimated 40–60% of adult patients with cancer use CAM, although it does not provide definite survival benefit and its users report clinically poor QOL.11 We hypothesised that aggressive anticancer therapy, especially CAM chosen by patients with cancer, limited their options of POD selection. Hence, we conducted this study to analyse the factors that influence POD and to show the evidence of influence of EOL care selection after standard chemotherapy on patients’ POD. Moreover, we also analysed the factors that influence EOL care selection in this study.

Methods

Selection criteria

Patients receiving hospice care at the National Cancer Center Hospital (NCCH) between April 2008 and April 2011 were selected. The inclusion criteria were as follows: confirmed as having carcinoma according to the results of histological tests, had advanced or recurrent pancreatic carcinoma, were receiving systemic palliative chemotherapy at the NCCH, failed to respond to standard chemotherapy and had discussed about EOL care with their attending physician. Prior to the start of chemotherapy, all patients included in the analysis were clearly informed that the chemotherapy being administered was not curative but aimed at prolonging their survival and palliating their symptoms. Their signed informed consent for the same was obtained. From the analysis, we excluded patients who had not been receiving standard chemotherapies or who did not choose POD. This study protocol was approved by the Institutional Review Board of the NCCH, Tokyo, Japan.

Data extraction and definition of terms

The following information was collected with regard to patients: (1) demographic (age, sex, relation with the attending physician, main family caregiver and state of disease), (2) geographical differences (distance from the cancer centre), (3) medical environment (involvement of a palliative care team, a case worker, a primary care doctor and regional healthcare cooperation during chemotherapy) and (4) EOL care selection (best supportive care (BSC), non-standard chemotherapy and CAM use). In this study, we defined PCU as the institute has been covered by National Medical Insurance since 1990 and plays a central role in providing specialised palliative care services to patients with cancer. Since the NCCH does not have beds assigned for palliative care, patients were provided with information about PCUs near their homes or according to their wish at the start of chemotherapy or completion of standard chemotherapy. Dying at home was defined as dying at home with hospice. Other hospitals except PCUs and homes with hospice were defined as non-PCU hospitals in this study. In this study, we defined standard therapy as gemcitabine-based or S-1-based chemotherapy. Aggressive anticancer therapy was defined as non-standard chemotherapies and CAM. Non-standard chemotherapy was defined as chemotherapy with other cytotoxic agents and included participation in a clinical trial. We used the definition of CAM adopted by the National Cancer Institute: ‘CAM is the term for medical products and practices that are not part of standard medical care.’ NCI categorises CAM as follows: CAM (any medical system, practice or product, ie, not thought of as standard care), complementary medicine (CAM therapy used along with standard medicine), alternative medicine (CAM therapy used in place of standard treatments) and integrative medicine (an approach that combines treatments from conventional medicine and CAM for which there is some high-quality evidence of safety and effectiveness).

Statistical analysis

We conducted statistical analyses using IBM SPSS V.18.0 (SPSS, Chicago, Illinois, USA). All patient characteristics and background factors were analysed using the logistic regression analyses. Multivariate logistic regression analyses were performed after univariate analyses to reveal strong correlation factors between POD and EOL care. p Values less than 0.05 in a two-sided test were considered significant.

Results

Patient characteristics

A total of 433 patients received systemic chemotherapy for advanced and recurrent pancreatic carcinoma at the NCCH (figure 1). Of these, 147 (34%) patients chose PCU, 57 (13%) patients chose home with hospice and 229 (53%) patients chose non-PCU hospitals as their POD. In total, 357 (82%) patients chose to receive BSC and 76 (18%) patients chose aggressive anticancer treatment as EOL care. In patients with aggressive anticancer therapy, 64 (15%) patients used non-standard chemotherapies and 57 (13%) patients used CAM as EOL care (table 1).
Figure 1

Patient distribution in the study. A total of 468 patients with advanced or recurrent pancreatic carcinoma were seen at the National Cancer Center Hospital. Nine patients chose best supportive care without receiving chemotherapy. Twenty-six patients are still alive and are continuing with standard chemotherapy.

Table 1

Patient characteristics

TotalTotalPCU
Home with hospice
Non-PCU Hospital
p Value*
nPer centnPer centnPer cent
43314734571322953
Age
 Mean (SD)64.8 (9.3)65.0 (9.4)66.5 (8.8)64.2 (9.4)
 ≥6523482563154121530.85
 <651996544264610847
Gender
 Male25872493663150660.005
 Female175755121377934
Close relative (caregiver)
 Spouse+334110754477180790.70
99372513234921
 Daughter(s) or son(s)+326109744375174760.92
107382614255524
 Parent(s)+135312730.82
42014297569822297
Distance from the cancer center
 Mean (SD) (km)32 (78.1)32 (85.6)16 (10.4)36.2 (82.2)
 0–1922483563867103450.005
 ≥202096444193312655
Attending physician
 A1274329111973320.45
 B62241611192712
 C114352416286328
 D130453119346628
State of disease
 Advanced350114784782189830.46
 Recurrence83332210184017
End-of-life care selection
 Best supportive care+357129884884180790.07
7618129164921
 Non-standard chemotherapies+64141081442180.06
36913390498618782
 CAM+5710771240170.01
37613793508818983
Medical environment
 Involvement of a palliative care team+441395926110.69
38913491529120389
 Involvement of a caseworker+354127865392174760.002
792014485524
 Primary care doctor+1334631122175330.23
30010169457915467

*Using χ2 test for categorical variables.

CAM, complementary and alternative medicine; PCU, palliative care units.

Patient characteristics *Using χ2 test for categorical variables. CAM, complementary and alternative medicine; PCU, palliative care units. Patient distribution in the study. A total of 468 patients with advanced or recurrent pancreatic carcinoma were seen at the National Cancer Center Hospital. Nine patients chose best supportive care without receiving chemotherapy. Twenty-six patients are still alive and are continuing with standard chemotherapy.

Factors influencing POD

In multivariate logistic regression analysis using strong factors that correlated with POD in univariate analyses, patients who selected PCUs as the POD were most likely to be of female gender (OR 1.85; 95% CI 1.23 to 2.79; p=0.003) and CAM users (OR 0.23; 95% CI 0.06 to 0.81; p=0.02). Patients who selected dying at home were most likely to be supported by a case worker (OR 3.50; 95% CI 1.22 to 10.03; p=0.02) and be town dwellers (OR 2.13; 95% CI 1.18 to 3.85; p=0.01). Patients who died at non-PCU hospitals were likely to be of male gender (OR 1.64; 95% CI 1.10 to 2.44; p=0.02), rural dwellers (OR 1.85; 95% CI 1.24 to 2.74; p=0.002) and had involvement of a case worker (OR 2.44; 95% CI 1.43 to 4.17; p=0.001) (table 2). Although we conducted additional analyses including all variables (age, gender, caregiver, distance from the cancer centre, attending physician, state of disease, EOL selection and medical environment) into the model, the results were materially unchanged.
Table 2

Factors associated with place of death: multivariate analysis

Place of deathFactorsnOR (95% CI)p Value*
PCUGender
 Male721 (Ref)0.003
 Female761.85 (1.23 to 2.79)
Best supportive care
 −181 (Ref)0.13
 +1293.85 (0.66 to 25)
Non-standard chemotherapies
 −141 (Ref)0.15
 +1333.00 (0.68 to 13.3)
CAM
 −1371 (Ref)0.02
 +100.23 (0.06 to 0.81)
Home with hospiceDistance from the cancer centre
 0–19 km381 (Ref)0.01
 ≥20 km190.47 (0.26 to 0.85)
Involvement of a caseworker
 −51 (Ref)0.02
 +523.50 (1.22 to 10.03)
Non-PCU HospitalGender
 Male1501 (Ref)0.02
 Female790.61 (0.41 to 0.91)
Distance from the cancer centre
 0–19 km1031 (Ref)0.002
 ≥20 km1261.85 (1.24 to 2.74)
Best supportive care
 −1801 (Ref)0.45
 +490.53 (0.10 to 2.80)
Non-standard chemotherapies
 −421 (Ref)0.37
 +1871.87 (0.47 to 7.35)
CAM
 −401 (Ref)0.13
 +1892.41 (0.76 to 7.63)
Involvement of a caseworker
 −551 (Ref)0.001
 +1742.44 (1.43 to 4.17)

*The multivariate analysis was performed using logistic regression analysis after.

CAM, complementary and alternative; PCU, palliative care units; Ref, reference.

Factors associated with place of death: multivariate analysis *The multivariate analysis was performed using logistic regression analysis after. CAM, complementary and alternative; PCU, palliative care units; Ref, reference.

Factors influencing EOL care selection

Table 3 shows the results of multivariate analyses using significant factors after univariate analyses associated with EOL care selection were performed. Patients who selected BSC as EOL care were of older age (OR=1.67; 95% CI 1.02 to 2.78; p=0.04) and had recurrence after surgical resection (OR=1.82; 95% CI 1.02 to 3.23; p=0.04). Patients who selected non-standard chemotherapies were of younger age (OR=2.04; 95% CI 1.18 to 3.51; p=0.01). Patients who selected CAM use were of younger age (OR=2.57; 95% CI 1.43 to 4.63; p=0.01) and depended on the attending physician. Although we conducted additional analyses including all variables into the model, the results were materially unchanged.
Table 3

Factors associated with end-of-life care selection: multivariate regression

End-of-life careFactorsnMultivariate analyses
OR (95% CI)p Value*
Best supportive careAge
 ≥652011 (Ref)0.04
 <651560.60 (0.36 to 0.98)
State of disease
 Advanced2951 (Ref)0.04
 Recurrence621.82 (1.02 to 3.23)
Non-standard chemotherapiesAge
 ≥65251 (Ref)0.01
 <65392.04 (1.18 to 3.51)
CAMAge
 ≥65201 (Ref)0.002
 <65372.57 (1.43 to 4.63)
Attending physician
 A241 (Ref)0.03 0.002
 B90.27 (0.11 to 0.62)
 C160.37 (0.13 to 1.02)>0.05 0.04
 D80.38 (0.15 to 0.94)

*The multivariate analysis was performed using logistic regression analysis after.

†Univariate analyses.

CAM, complementary and alternative; Ref, reference.

Factors associated with end-of-life care selection: multivariate regression *The multivariate analysis was performed using logistic regression analysis after. †Univariate analyses. CAM, complementary and alternative; Ref, reference.

Discussion

The present study results indicate that EOL care selected by Japanese patients with pancreatic cancer after complete standard chemotherapy was correlated with the selection of POD. Notably, the factors of (1) demographic (gender), (2) geographical differences (distance from the cancer centre), (3) medical environment (involvement of a case worker) and (4) EOL care selection (CAM use) were strongly correlated with selection of POD. Moreover, patients’ age, state of disease and dependence on the attending physician were strong factors that correlated with EOL care selection. We found that patients who selected aggressive anticancer therapy as EOL care, especially CAM use, tended to lose the opportunity to die in a PCU. In Japan, a series of national surveys was conducted by the Ministry of Health, Labour and Welfare in 2008 to reveal the preferred place of care and POD. Home was the preferred place of care in general, with 29% of respondents reporting that they wanted to receive care at home and be admitted to a PCU if necessary, and 23% preferring to receive care at home and be admitted to a hospital if necessary. Another 11% chose home until death, while a considerable number of respondents reported that they want to be admitted to a hospice earlier and stay until death (18%) or be admitted to a hospital earlier and stay until death (10%). The distribution of POD in this study reflected the trend in the preference of Japanese patients with cancer with regard to place of care and POD. In some previous reports, factors that influence selection of POD for patients with cancer were related to illness,12 individual factors that account for the maintenance of patients’ individuality, comparison of demographic variables and personal variables,13 social support4 and relationship with the physician.5 The present study showed gender female associated with PCU as actual POD. On the other hand, a previous British report showed gender was not associated with POD.4 In this study, EOL care selection, especially CAM use, influenced POD. Moreover, selection of best supportive care as EOL care associated with PCU as actual POD. Patients select aggressive anticancer therapies closer to death, with unintended consequences of late PCU referral.14 Moreover, physicians can predict the survival time of their patients based on experience and clinical data.15 On the other hand, patients pursue aggressive anticancer therapies, such as CAM use due to lack of awareness of their prognosis. Selecting a treatment mode without prediction of prognosis causes these patients to lose their chance of early reference to their preferred POD. Geographical differences in established PCUs, BSC at home and regional hospitals with palliative care teams reduce the choice of POD available to patients. According to studies conducted in Europe, patients living in rural areas have increased difficulty in accessing healthcare12 and palliative care16; yet, they are more likely to die at home.4 In the present study, the choice of dying at home with hospice increased with the closer distance from the cancer centre, which is located in the centre of Tokyo. These results support the view that geographical trends affect the choice of POD in Japan and Europe. The present study also showed that social support and involvement of a case worker affect the selection of POD. Specifically, social support influenced death at home through arrangement of medical environment by case workers. On the other hand, involvement of a palliative care team can potentially improve the timing of referral to a PCU.17 In this study, the palliative care team had no role in influencing the selection of POD of patients with cancer. Comprehensive cancer teams including the palliative care team, psycho-oncologist and case workers can involve patients in discussions about advance planning for care or POD. The trend of use of aggressive chemotherapy increased even in older patients, and the use of PCU as simply a place to die in rather than to control symptoms became common.9 15 In this study, 18% of patients with pancreatic cancer used aggressive anticancer treatment as EOL care. In the USA, the proportion of patients who choose cancer therapy at the EOL has increased from 13.8% to 18.5%.18 Our study shows a similar proportion when compared with previous reports. On the other hand, in this study, the prevalence of CAM use in patients with pancreatic cancer was 13%. This rate was slightly lower than that found in previous studies.19 20 The prevalence of CAM use was potentially affected by several factors, including primary cancer site. In terms of cancer site, the rate of CAM use was higher in patients with lung, breast and hepatobiliary cancers than in those with other cancers, including gastrointestinal cancer. Hence, the ratio of CAM use in pancreatic cancer may be lower than that in the previous report.19 The multivariate analysis also revealed a close association between aggressive anticancer therapies and younger age. Previous studies showed that some factors, including younger age, were significant independent predictors of aggressive EOL care.9 10 19 21 Certain limitations of this study should be considered, including its retrospective nature and the involvement of a single institution. Therefore, the findings may not be entirely representative of patients receiving cancer treatment at other Japanese cancer hospitals; moreover, we could not determine some other factors that influenced the selection of POD by patients with cancer. Above all, the study focused on factors associated with choosing EOL care and how these factors affect POD choice, but it did not include analysis of some other factors such as income of patients, religion and timing of EOL discussions. Physicians commonly avoid EOL care-related discussions with patients until they fail standard chemotherapy or are nearing death.22 Physicians who have close, long-term relationships with patients often wish to avoid discussions around EOL care.23 Physicians involved in longitudinal care, however, may be best equipped to have meaningful discussions about the patient's values and goals.5 NCCH, all attending physicians informed their patients before starting chemotherapy that advanced pancreatic carcinoma had reduced chances of being cured and that chemotherapy was of limited use in palliation and prolongation of survival. Some patients who discussed EOL care or POD during treatment with standard chemotherapy collaterally underwent a checkup or received palliative care in community hospitals or PCUs. The selection of CAM use as EOL care by the attending physician points to the critical need to recognise the lack of discussion with patients about EOL care. Moreover, selecting EOL care after failing standard chemotherapy had a direct bearing on the selection of POD. In conclusion, the present study provides new and important information on the factors influencing patients’ choices at the EOL. To the best of our knowledge, this is the first report of an investigation on POD that focuses on EOL care selection, especially aggressive anticancer treatment including CAM, among Japanese patients with pancreatic cancer. Importantly, patients and physicians should share the same information related to survival benefits and places to receive EOL care and choose appropriate POD.
  23 in total

1.  Collusion in doctor-patient communication about imminent death: an ethnographic study.

Authors:  A M The; T Hak; G Koëter; G van Der Wal
Journal:  BMJ       Date:  2000-12-02

2.  High prevalence of complementary and alternative medicine use among cancer patients: implications for research and clinical care.

Authors:  Barrie R Cassileth; Andrew J Vickers
Journal:  J Clin Oncol       Date:  2005-02-22       Impact factor: 44.544

Review 3.  Factors influencing death at home in terminally ill patients with cancer: systematic review.

Authors:  Barbara Gomes; Irene J Higginson
Journal:  BMJ       Date:  2006-02-08

4.  Nationwide survey on complementary and alternative medicine in cancer patients in Japan.

Authors:  Ichinosuke Hyodo; Noriko Amano; Kenji Eguchi; Masaru Narabayashi; Jiro Imanishi; Midori Hirai; Tomohito Nakano; Shigemitsu Takashima
Journal:  J Clin Oncol       Date:  2005-02-22       Impact factor: 44.544

5.  Dying to be home? Preferred location of death of first-generation black Caribbean and native-born white patients in the United Kingdom.

Authors:  Jonathan Koffman; Irene J Higginson
Journal:  J Palliat Med       Date:  2004-10       Impact factor: 2.947

6.  Relationship between cancer patients' predictions of prognosis and their treatment preferences.

Authors:  J C Weeks; E F Cook; S J O'Day; L M Peterson; N Wenger; D Reding; F E Harrell; P Kussin; N V Dawson; A F Connors; J Lynn; R S Phillips
Journal:  JAMA       Date:  1998-06-03       Impact factor: 56.272

7.  A population-based study of the coverage of cancer patients by hospice services.

Authors:  R Hunt; K McCaul
Journal:  Palliat Med       Date:  1996-01       Impact factor: 4.762

8.  Trends in the aggressiveness of cancer care near the end of life.

Authors:  Craig C Earle; Bridget A Neville; Mary Beth Landrum; John Z Ayanian; Susan D Block; Jane C Weeks
Journal:  J Clin Oncol       Date:  2004-01-15       Impact factor: 44.544

Review 9.  A systematic review of physicians' survival predictions in terminally ill cancer patients.

Authors:  Paul Glare; Kiran Virik; Mark Jones; Malcolm Hudson; Steffen Eychmuller; John Simes; Nicholas Christakis
Journal:  BMJ       Date:  2003-07-26

10.  Effect of complementary and alternative medicine on the survival and health-related quality of life among terminally ill cancer patients: a prospective cohort study.

Authors:  Y H Yun; M K Lee; S M Park; Y A Kim; W J Lee; K S Lee; J S Choi; K H Jung; Y R Do; S Y Kim; D S Heo; H T Kim; S R Park
Journal:  Ann Oncol       Date:  2012-10-30       Impact factor: 32.976

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Journal:  Intern Emerg Med       Date:  2016-02-19       Impact factor: 3.397

2.  A prospective cohort study assessing aggressive interventions at the end-of-life among patients with solid metastatic cancer.

Authors:  Chetna Malhotra; Filipinas Bundoc; Isha Chaudhry; Irene Teo; Semra Ozdemir; Eric Finkelstein
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