Is dying in hospital better than home in incurable cancer and what factors influence this? A population-based study
© Gomes et al. 2015
Received: 16 April 2015
Accepted: 28 August 2015
Published: 9 October 2015
Studies show that most patients with advanced cancer prefer to die at home. However, not all have equal chances and the evidence is unclear on whether dying at home is better. This study aims to determine the association between place of death, health services used, and pain, feeling at peace, and grief intensity.
Mortality follow-back study of 352 cancer patients who died in hospital (n = 177) or at home (n = 175) in London, UK. Bereaved relatives identified from death registrations completed a questionnaire including validated measures of patient’s pain and peace in the last week of life and their own grief intensity. We determined factors influencing death at home, and associations between place of death and pain, peace, and grief.
Where people died was, for most (80 %), the place where they lived during their last week of life. Four factors explained >91 % of home deaths: patient’s preference, relative’s preference, home palliative care, or district/community nursing. The propensity of death at home also increased when the relative was aware of incurability and the patient discussed his/her preferences with family. Dying in hospital was associated with more hospital days, fewer general practitioner (GP) home visits, and fewer days taken off work by relatives. Adjusting for confounders, patients who died at home experienced similar pain levels but more peace in their last week of life (ordered log odds ratio 0.69, P = 0.007). Grief was less intense for their relatives than for those of patients who died in hospital (β, –0.15 around time of death and –0.14 at questionnaire completion, P = 0.02).
The study suggests that dying at home is better than hospital for peace and grief, but requires a discussion of preferences, GP home visits, and relatives to be given time off work.
National Institute of Health Research (NIHR) Clinical Research Network Portfolio. UKCRN7041.
KeywordsBereavement Health care surveys Home care services Neoplasms Pain Palliative care
Studies of patients with advanced cancer and the general public show that most people would prefer to die at home [1, 2]. In the UK, the US, and Canada, more appear to be realising this wish [3–5]. In Japan, Germany, Greece, and Portugal a trend towards institutionalised dying persists [6–9]. Despite differing trends, the most frequent location of death for those dying from cancer is hospital, with marked variations in the odds of home death depending on illness-related, individual, and environmental factors [10–12]. Furthermore, the most important aim towards the end of life is to ensure the best possible palliative outcomes. Population ageing and larger numbers of people dying from cancer represent a demographic imperative for healthcare systems to ensure a dignified death for all [13, 14].
There is some evidence showing better results on psychological, social, and holistic measures of well-being in the last weeks or days of life for patients dying at home compared to hospital . However, findings on symptoms and family outcomes are inconsistent, particularly for two widely researched outcomes: pain and grief [16–19]. Tang  found that pain was more likely for patients who died at home (compared to hospital), while Escobar Pinzon et al.  found the opposite (even when accounting for confounders) and Jordhoy et al.  found no difference. Addington-Hall and Karlsen, in the Regional Study of Care for the Dying (RSCD) in the UK , reported higher levels of grief among relatives of patients who died at home (compared to elsewhere), while Wright et al. , in the Coping with Cancer study in the US, found that relatives of patients who died in hospital were more likely to develop prolonged grief disorder. Ringdal et al. , however, in a randomised controlled trial of home palliative care, observed no difference by place of death. In an earlier study in London, Parkes  had reported worse symptom control for patients who died at home as opposed to hospital.
In order to meet patient preference at no expense of the best possible outcomes, it is crucial to find out whether death at home is better for patients and families. This study aimed to determine the association between place of death, health services used, and pain, feeling at peace, and grief intensity. We first identified factors influencing the propensity of dying at home rather than in hospital, and then compared the three outcomes (pain, peace, and grief).
Design, setting, and sample
QUALYCARE is a case-control study that used a mortality follow-back postal survey methodology of bereaved relatives (UKCRN7041; protocol in ). This is a well-established method internationally and recommended by the UK National End of Life Care Strategy in 2008 . It was deemed appropriate for this study given the large sample size required and the need to examine common time periods before death for all in the sample.
The study took place in four health districts in London covering 1.3 million residents. An ecological analysis of cancer home death rates and socioeconomic deprivation levels informed the choice of districts to capture variation (Additional file 1).
Participants were identified from death registrations and approached by the Office for National Statistics (ONS). These were persons that registered the death of people aged ≥18 years who died from cancer (ICD-10 codes C00-D48) during a 1-year period (March 5, 2009, to March 4, 2010) having lived in the study districts. Patients were excluded if a coroner registered the death, since coroners would not be able to provide sufficient information about the patient’s care and outcomes.
The eligible sample included all who died at home and a random sample of 150 who died in a National Health System non-psychiatric hospital in each district (or all when the eligible number was <150, which happened in the two smaller districts). Cases comprised persons who died at home and controls were persons who died in hospital. A sample of 350 patients was chosen to detect a minimum standardised difference of 0.30 (power 80 %, significance 0.05) and allow regression analyses with a maximum of 35 variables entered and 19 retained, following Altman’s recommendations (n/10 variables and square root of sample size, respectively) .
Potential participants were contacted in writing by the ONS on behalf of the research team 4–10 months after registering the patient’s death, and asked to complete a structured postal questionnaire. Up to two reminders were sent to people who did not respond at 2 and 4 weeks after the initial posting; the second reminder included another copy of the questionnaire. In addition, pseudo-anonymised death registration data were provided by the ONS.
Information on place of death is systematically recorded in death registration files, as reported by the informant (i.e. person who registers the death) within 5 days after the death occurred. We validated this information against questionnaire data. There were only two disagreements (Additional file 2). We also asked the respondents how long the patient had been in the place where they died.
Measurement of factors and outcomes associated with home death
Our approach to measuring factors and outcomes associated with home death was guided by systematic reviews, a theoretical model of home death in cancer , and findings from the pilot preceding the study . Additional files 3 and 4 include details of the factors and outcomes analysed; the information was collected in the same manner for cases and controls. We used validated specific health outcome measures: Palliative care Outcome Scale (POS) items to measure pain interference or affect on the patient (item ranging 0–4, higher scores meaning more pain interference) and the overall grade of peace during the last week of life (ranging 0–5, higher scores meaning more frequent feeling at peace) [28, 29]; and the Texas Revised Inventory of Grief (TRIG) to measure the respondent’s own grief intensity around time of death (TRIG I; reported retrospectively; scale ranging 8–40, higher scores meaning greater grief intensity) and at questionnaire completion (TRIG II; scale ranging from 13–65) . Cronbach’s alpha estimates were 0.86 (TRIG I) and 0.93 (TRIG II) in the study. According to Bland and Altman , this demonstrates good internal consistency for comparing groups (α values of 0.70 to 0.80 are regarded as satisfactory for this purpose).
Approvals and ethics
A National Health System research ethics committee (REC), the London – Dulwich REC, formerly King’s College London REC, approved the study (ref: 09/H0808/85). Together with the invitation letter and questionnaire, potential participants were mailed the study information sheet, a reply slip to decline participation, and a bereavement information leaflet. Return of a completed questionnaire was taken as informed consent. We followed piloted procedures for dealing with queries and distress  and checked returned questionnaires for participants requiring follow-up action (particularly answers to grief-related questions). If concerns arose and participants had agreed to be contacted, they were informed about local sources of support . A data access agreement with the ONS governed the handling of death registration data.
We developed a multivariate model of factors associated with home death in two stages. Firstly, direct logistic regression tested a baseline model with nine variables covering all groups of factors proposed in the theoretical model: illness related, individual, and environmental (Additional file 5) . Secondly, one-by-one, we added detail on cancer type and other variables associated with home death with P <0.250 in bivariate analysis, retaining those that stayed significant (P <0.050). Independent variables with near-zero cells and multicollinearity that cause quasi-separation of the dependent variable lead to mathematical problems in logistic regression rendering instability to models , and were therefore excluded. Variables with >10 % missing data were also excluded.
A sub-group analysis tested the final model only for patients who preferred to die at home. This aimed to help clinicians make decisions when caring for patients they know wish to die at home.
(n = 352)
(n = 175)
(n = 177)
192 (54.5 %)
94 (53.7 %)
98 (55.4 %)
160 (45.5 %)
81 (46.3 %)
79 (44.6 %)
Median in years (IQR)
Type of cancer (underlying cause of death)
105 (29.8 %)
59 (33.7 %)
46 (26.0 %)
Respiratory and intra-thoracic organs
80 (22.7 %)
40 (22.9 %)
40 (22.6 %)
Eye, brain, and other parts of the central nervous system
13 (3.7 %)
11 (6.3 %)
2 (1.1 %)
18 (5.1 %)
9 (5.1 %)
9 (5.1 %)
Lymphoid, haematopoietic, and related tissue
26 (7.4 %)
8 (4.6 %)
18 (10.2 %)
67 (19.0 %)
25 (14.3 %)
42 (23.7 %)
Unspecified and other
43 (12.2 %)
23 (13.1 %)
20 (11.3 %)
Mobility at 3 months to death (EQ-5D)
95 (28.4 %)
42 (25.6 %)
53 (31.0 %)
211 (63.0 %)
106 (64.6 %)
105 (61.4 %)
Confined to bed
29 (8.7 %)
16 (9.8 %)
13 (7.6 %)
Self-care at 3 months to death (EQ-5D)
148 (44.7 %)
68 (42.2 %)
80 (47.1 %)
128 (38.7 %)
68 (42.2 %)
60 (35.3 %)
Unable to wash/dress her/himself
55 (16.6 %)
25 (15.5 %)
30 (17.6 %)
Usual activities at 3 months to death (EQ-5D)
76 (22.8 %)
31 (18.8 %)
45 (26.6 %)
152 (45.5 %)
82 (49.7 %)
70 (41.4 %)
Unable to perform usual activities
106 (31.7 %)
52 (31.5 %)
54 (32.0 %)
Patient’s country of birth
288 (81.8 %)
142 (81.1 %)
146 (82.5 %)
64 (18.2 %)
33 (18.9 %)
31 (17.5 %)
291 (84.6 %)
145 (84.8 %)
146 (84.4 %)
21 (6.1 %)
13 (7.6 %)
8 (4.6 %)
32 (9.3 %)
13 (7.6 %)
19 (11.0 %)
IMD 2010 (patient’s residence area) a
5th quintile (least deprived)
89 (25.3 %)
46 (26.3 %)
43 (24.3 %)
69 (19.6 %)
41 (23.4 %)
28 (15.8 %)
55 (15.6 %)
31 (17.7 %)
24 (13.6 %)
85 (24.1 %)
35 (20.0 %)
50 (28.2 %)
1st quintile (most deprived)
54 (15.3 %)
22 (12.6 %)
32 (18.1 %)
Patient’s marital status
199 (58.0 %)
117 (68.8 %)
82 (47.4 %)
86 (25.1 %)
34 (20.0 %)
52 (30.1 %)
25 (7.3 %)
9 (5.3 %)
16 (9.2 %)
33 (9.6 %)
10 (5.9 %)
23 (13.3 %)
Patient’s living with relatives
249 (71.6 %)
145 (83.8 %)
104 (59.4 %)
99 (28.4 %)
28 (16.2 %)
71 (40.6 %)
Patient’s preference for PoD
262 (83.7 %)
168 (97.7 %)
94 (66.7 %)
Other or no preference
51 (16.3 %)
4 (2.3 %)
47 (33.3 %)
118 (33.8 %)
53 (30.6 %)
65 (36.9 %)
231 (66.2 %)
120 (69.4 %)
111 (63.1 %)
Median in years (IQR)
Relative’s relationship to patient
147 (41.9 %)
85 (48.6 %)
62 (35.2 %)
142 (40.5 %)
75 (42.9 %)
67 (38.1 %)
20 (5.7 %)
4 (2.3 %)
16 (9.1 %)
42 (12.0 %)
11 (6.3 %)
31 (17.6 %)
Relative’s preference for PoD at 3 months to death
215 (61.8 %)
159 (91.9 %)
56 (32.0 %)
Other or no preference
133 (38.2 %)
14 (8.1 %)
119 (68.0 %)
Change in relative’s preference for PoD in 3 months prior death
42 (12.7 %)
16 (9.5 %)
26 (16.0 %)
289 (87.3 %)
153 (90.5 %)
136 (84.0 %)
Multivariate ordinal regression (for pain and peace; non-normally distributed) and linear regression (for grief) determined associations with place of death. Potential confounders were entered and retained if significant (P <0.050), alongside factors associated with home death in our final model.
The models included the variable district to control for any design effect due to stratified sampling. When >10 % of individuals were excluded from the model due to missing data, χ2 tests identified any differential by place of death. Analyses were conducted in SPSS for Windows (version 19.0).
Response rates and sample characteristics
We sampled 881 patients; 366 constituted cases and 515 were controls in the case–control study (flowchart in Additional file 6). Related to this sample, 352 bereaved relatives (40.0 %) completed the questionnaire. They were contacted a median of 232 days after the patient died, i.e. 7 months (interquartile range (IQR), 189–280 days), with no significant difference between cases and controls.
Patients died at a median age of 76 years (IQR, 67–83) and 55 % were men (Table 1). The two most common cancer groups were digestive (35 % of men, 23 % of women) and respiratory or intra-thoracic (21 % of men, 25 % of women). Most of the proxy respondents (66 %) were women and 90 % were first line relatives of the patient (i.e. spouses, partners, offspring, siblings, or parents). Their median age was 59 years (IQR, 49–70). Home death was preferred by >66 % of patients in both groups and 92 % of relatives of patients who died at home, but only by 32 % of relatives of patients who died in hospital, with <17 % of relatives in both groups changing their mind in the patient’s last 3 months of life.
Factors associated with dying at home rather than in hospital
Multivariate ordinal regressions of factors associated with pain and peace
Median score (IQR)
Ordered log OR (95 % CI)
Ordered log OR (95 % CI)
Pain in last week of life (POS item)
Place of death
−0.33 (–0.72 to 0.06)
−0.25 (–0.65 to 0.15)
Relative’s relationship to the patient
0.39 (–0.04 to 0.82)
0.38 (–0.05 to 0.80)
1.03 (0.19 to 1.88)
0.94 (0.08 to 1.80)
0.47 (–0.17 to 1.10)
0.38 (–0.26 to 1.03)
Peace in last week of life (POS item)
Place of death
0.93 (0.52 to 1.33)
0.69 (0.19 to 1.19)
Relative’s relationship to the patient
−0.14 (–0.57 to 0.29)
−0.16 (–0.62 to 0.30)
−0.85 (–1.80 to 0.10)
−0.88 (–1.95 to 0.20)
−0.75 (–1.38 to –0.12)
−0.51 (–1.17 to 0.16)
Length of relative’s awareness of incurability
Never or aware for less than one week
Aware for one week or more
0.65 (0.18 to 1.12)
0.69 (0.19 to 1.18)
Patient’s preference for place of death discussed with family
0.79 (0.38 to 1.21)
0.64 (0.17 to 1.11)
Multivariate linear regressions of factors associated with grief
B (95 % CI)
B (95 % CI)
Grief intensity around time of death (TRIG I)
Place of death
−0.25 (–2.03 to 1.52)
−2.44 (–4.50 to –0.39)
Relative’s relationship to the patient
−1.61 (–3.55 to 0.33)
−1.89 (–3.86 to 0.08)
−3.99 (–8.29 to 0.31)
−4.83 (–9.09 to –0.56)
−2.40 (–5.25 to 0.45)
−3.16 (–6.14 to –0.19)
Relative’s presence at time of death
2.19 (0.27 to 4.12)
2.41 (0.28 to 4.54)
Patient’s preference for place of death discussed with family
2.57 (0.73 to 4.42)
3.01 (1.11 to 5.03)
Grief intensity at time of questionnaire completion (TRIG II)
Place of death
1.91 (–0.92 to 4.73)
−3.63 (–6.76 to –0.50)
Relative’s relationship to the patient
−7.55 (–9.85 to –5.26)
−6.69 (–9.98 to –3.40)
−10.93 (–15.75 to –6.21)
−6.78 (–13.45 to –0.11)
−11.92 (–15.22 to –8.63)
−12.54 (–17.09 to –7.99)
Relative’s presence at time of death
6.58 (4.36 to 8.81)
4.77 (1.51 to 8.04)
Relative’s work arrangements in last three months of patient’s life
0 to 3 days off work
4 to 14 days off work
7.64 (2.88 to 12.40)
7.07 (2.41 to 11.73)
15+ days off work
12.82 (8.15 to 17.49)
8.44 (3.64 to 13.23)
7.47 (3.77 to 11.18)
3.87 (3.64 to 13.23)
Patient’s preference for place of death discussed with family
2.80 (0.52 to 5.09)
2.88 (0.07 to 5.82)
Sub-group and sensitivity analyses
Testing the five-factor model on patients who preferred to die at home (i.e. excluding 38 patients who preferred to die elsewhere and 13 who had no preference), all factors remained significant except for whether the patient discussed their preference for place of death with family. Sensitivity analysis examining the impact of non-response on the results showed no differences on the influence that the five factors available for this analysis had on home death (patient’s gender, age, cancer type, country of birth, and deprivation; analyses in Additional files 8 and 9).
Differences in pain, peace, and grief by place of death
The results for pain and peace were maintained in adjusted analyses (Table 2). Based on respondents’ accounts, we found that the level of pain experienced by patients in their last week of life was no different for those who died at home than for those who died in hospital (median 1 (slightly, IQR, 0–2) compared to 2 (moderately, 0–2) in POS item ranging 0–4; M-W (335) = 15.456, z = 1.671, P = 0.095). Regardless of severity level, the prevalence of pain was 61.9 % among patients who died at home and 70.1 % among patients who died in hospital. Moderate to overwhelming pain was experienced by 53.3 % of patients in the hospital group as opposed to 44.0 % of those in the home group.
Patients who died at home were reported to feel more frequently at peace during their last week of life than patients who died in hospital (median 4 (most of the time, IQR, 3–5) compared to 3 (some of the time, 1.5–4) in POS item ranging 0–5, M-W(330) = 9.809, z = –4.546, P <0.001). A minority (11.8 % of patients who died at home and 24.8 % of those who died in hospital) were not very often or not at all at peace in their last week of life.
The grief intensity experienced by the respondents around time of death and at questionnaire completion (median of 7 months after the patient died) was similar in the home and hospital groups (mean, 20.52 (SD, 7.91) and 20.78 (8.25), respectively, in TRIG I scale ranging 8–40, t-test(318) = –0.281, P = 0.779; mean, 45.02 (11.26) and 43.11 (14.10), respectively, in TRIG II scale ranging 13–65, t-test(299) = 1.327, P = 0.185). However, once confounders were taken into account (stronger grief reactions were associated with spouses/partners, presence at time of death, family discussion of preferences for place of death and relative’s time off work in the last 3 months before the patient died), the levels of grief were less intense when the patient died at home compared to hospital, both at the time of death (β –0.15, P = 0.020) and questionnaire completion (β –0.14, P = 0.023; Table 3).
To date, QUALYCARE is the most comprehensive population-based study of factors and outcomes associated with dying at home compared to hospital; it includes over 350 people who died from cancer and their relatives in the largest metropolitan area in the UK. The study fills in a critical gap in providing new evidence suggesting that dying at home is better than hospital for peace and grief, with no difference in the pain level experienced in the last week of life.
There are limitations related to the study design, measurement, and analysis. The study is retrospective, and hence we show associations which do not necessarily indicate causality. It was conducted in London, therefore the transferability of findings to other regions where home care services (including palliative care) are less available, for example, is uncertain. The response rate was low (40 %), although it falls within the range of similar population-based postal surveys with bereaved relatives in the UK [35–37] and also compares to service-based surveys in the UK and Canada [38, 39]. Through sensitivity analysis, we identified no impact of non-response on the association of five variables with home death, although we were only able to examine a limited number of variables (those available for participants and non-participants).
The measurement of factors and outcomes was systematic and standardised but some variables (subjective factors, pain, peace) are vulnerable to recall and observer bias from respondents. Some studies suggest that relatives either overestimate or polarize their ratings of patient’s pain 4–7 months after death compared to prospective reports [40, 41]. Our data do not show a polarization, but we cannot confirm whether the levels of pain, for example, were overestimated (this would require prospective data on the same patients). Even so, the pain prevalence found (61.9 % among patients who died at home, 70.1 % among patients who died in hospital) was comparable to the pooled estimate of 64 % (95 % CI, 58–69 %) reported in a meta-analysis of advanced cancer patients, which excluded proxy data . In contrast, it was lower than the weighted mean pain prevalence recently reported by Higginson et al. (76.1 % and 73.9 % including and excluding proxy data, respectively) . These comparisons suggest that if there was overestimation, the magnitude of an effect on findings is likely to be small. The use of a postal method (which offers protection against social desirability) and the high salience of the events in question (circumstances surrounding the patient’s death) might have increased recall accuracy in both cases and controls.
Factors associated with dying at home
We found several modifiable factors associated with place of death that are amenable to intervention and are rarely measured. Namely, we identified four conditions that are almost essential for patients to die at home rather than in hospital: patient’s preference, relative’s preference, receipt of home palliative care, and of district nursing/community nursing. The study also shows that, if patients get intensive nursing care specific to the end of life (provided by Marie Curie nurses), they very rarely die in hospital. However, 96 % of those who died in hospital did not get such help. The study observes dose-response relationships for two factors from a previous model : hospital days and GP home visits. It challenges current thinking about the influence of patient’s functional status, social conditions, and living arrangements, showing no association once other factors are considered. Importantly, we identified three factors previously overlooked – length of relative’s awareness of incurability, discussion of patient’s preference with family, and relative’s work arrangements in the 3 months before death. Our final model explained well why some patients died at home whilst others died in hospital. Subject to testing, this may be effective for clinical decision-making.
Preferences for place of death
Given the importance of meeting people’s preferences for place of death and preferences being one of the most influential factors on actual place of death, it is meaningful that home was reported as the preferred location of death for more than two thirds of patients in both groups. However, it should be noted that not all wish to die at home and that there are situations in which dying at home may not be feasible. Moreover, a home death was preferred by 92 % of relatives of patients who died at home, but only by 32 % of relatives of patients who died in hospital. Adding to findings from a systematic review of preferences for dying at home , we found a lower home preference from relatives compared to patients; this stresses the crucial role of families in caring for patients at home and in decision-making processes [1, 44]. Most relatives said that their own preferences were stable in the last 3 months before death, with less than a fifth in both groups (cases and controls) changing their mind during this period. Early conversations about preferences involving patients and families seem, therefore, appropriate, provided they are well-conducted and preferences are monitored over time.
Differences in outcomes between dying at home and in hospital
Our findings suggest that, in addition to increasing choice, a home death is associated with similar experiences (in terms of pain) and sometimes better experiences and outcomes (in terms of peace and grief) for people dying of cancer and for their relatives. The study helps elucidate previous contradictory evidence on pain and grief, and provides some of the first evidence on sense of peace in relation to place of death.
The absence of a statistically significant difference in the levels of pain experienced by patients who died at home and by those who died in hospital concurs with some studies [22, 45] and disagree with others [16, 21]. Our findings differ from a seminal study conducted by Parkes in London (1967–1971) , where among a sample of 165 patients, he found significantly greater pain at home than in hospital. However, Parkes included in the home group people who were at home for most of the time but were admitted to hospital in their last week of life. As it is possible that admission could be due to problems controlling pain, the inclusion of this sub-group in home deaths (18/65 of the home group) may have shaped the results.
It is indeed plausible that some patients who died in hospital were admitted because of more severe problems controlling pain at home, while those who stayed at home might have experienced fewer complications in the last week of life. It is also plausible that relatives were more aware of pain when people were at home, hence our findings on pain must be regarded with care. However, it is of relevance that, in QUALYCARE, the median level of pain was lower in the home group than in the hospital group, though the difference did not reach statistical significance. Interestingly, one recent study that shares the design, measurement, and timeframe with QUALYCARE (the EPACS study in Germany) found that patients who died at home were less likely to have experienced pain (57.8 % vs. 67.9 %) than patients who died in hospital .
Few studies have examined whether patients’ sense of peace differs by place of death. Our findings support those from a small observational study in Philadelphia , where more bereaved relatives of patients who died at home thought these had been at peace than relatives of patients who died elsewhere (16/18 and 5/10, respectively, P = 0.003). In contrast, in the South West of the Netherlands, van der Heide et al.  found no differences in physicians’ perspectives on whether the patient died peacefully between those who died at home and elsewhere (29/42 and 28/41, respectively, P = 0.94). However, this finding is limited to the degree the physicians were involved and present in the last days of life (which was unknown).
The one point difference in median peace scores between the home and hospital groups (4, i.e. most of the time, compared to 3, i.e. some of the time, measured through the POS peace item with a 0–5 range) is of clinical significance. However, both medians were higher (i.e. better) than the threshold recommended by Selman et al.  as indicative of distress in the POS peace item, i.e. scores of 0–1. Applying this threshold, the differences are still evident: 11.8 % of patients who died at home and 24.8 % of those who died in hospital were on or below the recommended threshold, indicating distress.
It is possible that this difference reflects the importance of some of the dimensions that Selman et al.  identified in the concept of peace with patients. These include being aware and accepting death, but also relational aspects such as the ability to be at home with family. However, the association of home death with increased peace persisted when adjusted for relative’s awareness of incurability, family discussion of preferences for place of death, and respondent’s relationship to the patient. The finding of differences in peace but not in pain suggests the former may encompass but transcends the latter. Other aspects may play a role, for example, those related to the environment in hospitals (noisy and busy settings) and the patient’s consciousness level (e.g. being asleep may be regarded by the relatives as being peaceful).
Our findings showing less intense grief for relatives in the home group refute previous UK population-based data from the 1990’s . RSCD investigators found that bereaved relatives of patients who died at home had higher levels of psychological distress around 10 months after the patient died as measured by the GHQ-28 (mean score 24.7 compared to 22.2, P <0.01) and were more likely to say they missed the deceased a great deal, and less likely to say that they had come to terms with the death, that they looked forward to things as usual, or that things were going reasonably well for them by then. The results on the two latter aspects were similar in the sub-group of spouses, whilst differences in the former two lost significance in this sub-group. No adjustments were made to the results, though, and this is important because relatives of patients who die at home are more likely to be spouses, but also more likely be present at the time of death, factors we found were associated with greater grief intensity. Adjusting for these confounders is, therefore, important.
In addition, the RSCD compared psychological distress and three items measuring cognitive and emotional aspects of grief. However, grief encompasses other important facets (e.g. behavioural, relational) . In QUALYCARE, we measured the whole construct of grief, using a validated measure with high Cronbach’s alphas, demonstrating good internal consistency for the purpose of comparing groups . However, it is more plausible that adjustments rather than measurement issues explain the differences between our results and the RSCD. It is also likely that home support increased over time (from 1990 to 2010), which may impact on grief adjustment.
Our findings concur with the Coping with Cancer study conducted more recently in the US , which showed that relatives of patients who died in hospital were at heightened risk of prolonged grief disorder (assessed using a validated scale) compared to relatives of patients who died at home with hospice care (AOR, 8.83; 95 % CI, 1.51–51.77). An important finding from the Coping with Cancer study was that none of the psychological variables measured at baseline (median 4.5 months before the patient died) were associated with place of death, which suggests pre-bereavement psychological morbidity may not confound the effect of place of death on post-bereavement complications. QUALYCARE results on grief also align with the Cambridge Hospital at Home randomised controlled trial in the UK .
Implications for clinical practice
It is clear from the findings that most people dying of cancer prefer to die at home and that this wish is often supported by family, yet seldom met. Those that do die at home (in regions of London) appear to spend their last days in greater peace, nearly always with family around them, and with pain controlled to a similar level to those who die in hospital. Based on the data, nearly two fifths of the people who die of cancer at home in the regions in the study can expect a pain-free death. Around another fifth are affected only slightly – this makes over half of all home deaths in cancer. Such encouraging reality reflects multiple factors, which include the work of clinicians on the ground, particularly of those working in the community, to ensure that patients and families are adequately supported at home. Yet, the findings highlight the need to do more. There are some people for whom death at home is not peaceful and pain-free, and there are relatives that are left in intense grieving. Input from home palliative care services, district/community nurses, and GPs is essential, but not enough to guarantee to a patient with advanced cancer who wants to die at home that they will achieve their wish. Other factors in our model (Figs. 2 and 3) require attention from all clinicians involved in cancer care in terms of risk assessment and care management.
QUALYCARE presents novel knowledge suggesting that dying at home is better than hospital for peace and grief, and it also shows what needs to be in place for advanced cancer patients to die at home if they wish. Examining the variations associated with home death in cancer in a comprehensive way revealed that dying at home is a complex yet tangible goal, one that can be achieved in comfortable conditions. The findings indicate that making this a reality for more patients with incurable cancer requires a wide response: from oncologists to check the identified risk factors and discuss preferences with patients and families, from GPs to be proactive and make home visits, and from policymakers to implement comprehensive home care packages and develop measures to sustain family involvement in care. Failure to do this may contribute to crises and subsequent admissions, leading to an undesired death in hospital, less peaceful than can be achieved at home and more difficult for relatives to live with.
Adjusted odds ratio
National Institute of Health Research
Office for National Statistics
Palliative care Outcome Scale
Regional Study of Care for the Dying
Texas Revised Inventory of Grief
We are most grateful to all the study participants. We thank Cicely Saunders International for the financial support needed to undertake this study including Barbara Gomes’ PhD Research Training Fellowship. The study involved many collaborators, to whom we are indebted: Professor Paul McCrone and Dr Sue Hall at King’s College London, the Department of Palliative Care at the Royal Marsden Hospital (Dr Julia Riley, Meena Valambhia, among others); Dr Elizabeth Davies and Dr Peter Madden at the Thames Cancer Registry; Professor Mike Richards and Tessa Ing on behalf of the Department of Health; the ONS Health Analysis team (Myer Glickman, Peter Davies, Stephen Rowlands, Justine Pooley); the Islington, Westminster, Bromley, and Sutton & Merton Primary Care Trusts (Nada Lemic, Sarah Price, Clare Henderson, Jacqui Lindo, Ursula Daee, end-of-life care groups, communication teams); the South East London Cancer Research Network (Kerry Hylands for data entry and governance advice). We thank the members of the project steering group, patient/family representatives (Nell Dunn, Kirstie Newson), the international scientific expert panel from Cicely Saunders International, Brenda Ferns, and external advisors (Dr Anita Patel, Professor Colin Murray Parkes, Dr Joana Cadima, Dr Massimo Costantini). We also thank the local services that helped us understand better the findings, including staff at St. Christopher’s Hospice, the ELiPSe team, and colleagues at King’s College London (Claudia Bausewein, Despina Anagnostou, Emma Murphy, Fliss Murtagh, Gao Wei, Lucy Selman, Marjolein Gysels, Sian Best, Thomas Osborne and Vera Sarmento, among others). Thanks to the Calouste Gulbenkian Foundation for patience and encouragement. We are also grateful to Professor Gunn Grande and Professor Christine Ingleton for their review and insightful comments.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Gomes B, Calanzani N, Gysels M, Hall S, Higginson IJ. Heterogeneity and changes in preferences for dying at home: a systematic review. BMC Palliat Care. 2013;12:7.View ArticlePubMedPubMed CentralGoogle Scholar
- Gomes B, Higginson IJ, Calanzani N, Cohen J, Deliens L, Daveson BA, et al. Preferences for place of death if faced with advanced cancer: a population survey in England, Flanders, Germany, Italy, The Netherlands, Portugal and Spain. Ann Oncol. 2012;23:2006–15.View ArticlePubMedGoogle Scholar
- Gomes B, Calanzani N, Higginson IJ. Reversal of the British trends in place of death: time series analysis 2004-2010. Palliat Med. 2012;26:102–7.View ArticlePubMedGoogle Scholar
- Flory J, Yinong YX, Gurol I, Levinsky N, Ash A, Emanuel E. Place of death: US trends since 1980. Health Aff. 2004;23:194–200.View ArticleGoogle Scholar
- Wilson DM, Truman CD, Thomas R, Fainsinger R, Kovacs-Burns K, Froggatt K, et al. The rapidly changing location of death in Canada, 1994-2004. Soc Sci Med. 2009;68:1752–8.View ArticlePubMedGoogle Scholar
- Yang L, Sakamoto N, Marui E. A study of home deaths in Japan from 1951 to 2002. BMC Palliat Care. 2006;9:2.View ArticleGoogle Scholar
- Mystakidou K, Parpa E, Tsilika E, Galanos A, Patiraki E, Tsiatas S, et al. Where do cancer patients die in Greece? A population-based study on the place of death in 1993 and 2003. J Pain Symptom Manage. 2009;38:309–14.View ArticlePubMedGoogle Scholar
- Simon ST, Gomes B, Koeskeroglu P, Higginson IJ, Bausewein C. Population, mortality and place of death in Germany (1950-2050) – implications for end-of-life care in the future. Public Health. 2012;126:937–46.View ArticlePubMedGoogle Scholar
- Sarmento VP, Higginson IJ, Ferreira PL, Gomes B. Past trends and projections of hospital deaths to inform the integration of palliative care in one of the most ageing countries in the world. Palliat Med. 2015. Ahead of print. doi:10.1177/0269216315594974.
- Broad JB, Gott M, Kim H, Boyd M, Chen H, Connolly MJ. Where do people die? An international comparison of the percentage of deaths occurring in hospital and residential aged care settings in 45 populations, using published and available statistics. Int J Public Health. 2013;58:257–67.View ArticlePubMedGoogle Scholar
- Gomes B, Higginson IJ. Factors influencing death at home in terminally ill patients with cancer: systematic review. BMJ. 2006;332:515–21.View ArticlePubMedPubMed CentralGoogle Scholar
- Cohen J, Houttekier D, Onwuteaka-Philipsen B, Miccinesi G, Addington-Hall J, Kaasa S, et al. Which patients with cancer die at home? A study of six European countries using death certificate data. J Clin Oncol. 2010;28:2267–73.View ArticlePubMedGoogle Scholar
- Oncol L. Dignity in death: the triumph of politics over evidence. Lancet Oncol. 2013;14:1243–56.View ArticleGoogle Scholar
- Mariotto AB, Yabroff KR, Shao Y, Feuer EJ, Brown M. Projections of the cost of cancer care in the United States: 2010-2020. J Natl Cancer Inst. 2011;103:117–28.View ArticlePubMedPubMed CentralGoogle Scholar
- Higginson IJ, Sarmento VP, Calanzani N, Benalia H, Gomes B. Dying at home – is it better: a narrative appraisal of the state of the science. Palliat Med. 2013;27:918–24.View ArticlePubMedGoogle Scholar
- Parkes CM. Home or hospital? Terminal care as seen by surviving spouses. J R Coll Gen Pract. 1978;28:19–30.PubMedPubMed CentralGoogle Scholar
- Escobar PLC, Weber M, Claus M, Fischbeck S, Unrath M, Martini T, et al. Factors influencing place of death in Germany. J Pain Symptom Manage. 2011;41:893–903.View ArticleGoogle Scholar
- Addington-Hall J, Karlsen S. Do home deaths increase distress in bereavement? Palliat Med. 2000;14:161–2.View ArticlePubMedGoogle Scholar
- Wright AA, Keating NL, Balboni TA, Matulonis UA, Block SD, Prigerson HG. Place of death: correlations with quality of life of patients with cancer and predictors of bereaved caregivers' mental health. J Clin Oncol. 2010;28:4457–64.View ArticlePubMedPubMed CentralGoogle Scholar
- Tang ST. Influencing factors of place of death among home care patients with cancer in Taiwan. Cancer Nurs. 2002;25:158–66.View ArticlePubMedGoogle Scholar
- Escobar PLC, Claus M, Zepf KI, Fischbeck S, Weber M. Symptom prevalence in the last days of life in Germany: the role of place of death. Am J Hosp Palliat Care. 2012;29:431–7.View ArticleGoogle Scholar
- Jordhoy MS, Saltvedt I, Fayers P, Loge JH, Ahlner-Elmqvist M, Kaasa S. Which cancer patients die in nursing homes? Quality of life, medical and sociodemographic characteristics. Palliat Med. 2003;17:433–44.View ArticlePubMedGoogle Scholar
- Ringdal GI, Jordhoy MS, Ringdal K, Kaasa S. Factors affecting grief reactions in close family members to individuals who have died of cancer. J Pain Symptom Manage. 2001;22:1016–26.View ArticlePubMedGoogle Scholar
- Gomes B, McCrone P, Hall S, Koffman J, Higginson IJ. Variations in the quality and costs of end-of-life care, preferences and palliative outcomes for cancer patients by place of death: the QUALYCARE study. BMC Cancer. 2010;2:400.View ArticleGoogle Scholar
- Department of Health. End of Life Care Strategy – Promoting high quality care for all adults at the end of life. London: Department of Health; 2008.Google Scholar
- Altman DG. Practical statistics for medical research. London: Chapman and Hall; 1991.Google Scholar
- Gomes B, McCrone P, Hall S, Riley J, Koffman J, Higginson IJ. Cognitive interviewing of bereaved relatives to improve the measurement of health outcomes and care utilisation at the end of life in a mortality followback survey. Support Care Cancer. 2013;21:2835–44.View ArticlePubMedGoogle Scholar
- Hearn J, Higginson IJ. Development and validation of a core outcome measure for palliative care: the palliative care outcome scale. Palliative Care Core Audit Project Advisory Group. Qual Health Care. 1999;8:219–27.View ArticlePubMedPubMed CentralGoogle Scholar
- Harding R, Selman L, Agupio G, Dinat N, Downing J, Gwyther L, et al. Validation of a core outcome measure for palliative care in Africa: the APCA African Palliative Outcome Scale. Health Qual Life Outcomes. 2010;25:10.View ArticleGoogle Scholar
- Faschingbauer TR. Texas Revised Inventory of Grief manual. Houston, TX: Honeycomb Publishing Company; 1981.Google Scholar
- Bland JM, Altman DG. Cronbach’s alpha. BMJ. 1997;314:572.View ArticlePubMedPubMed CentralGoogle Scholar
- Koffman J, Higginson IJ, Hall S, Riley J, McCrone P, Gomes B. Bereaved relatives' views about participating in cancer research. Palliat Med. 2012;26:379–83.View ArticlePubMedGoogle Scholar
- Hosmer DW, Lemeshow S. Applied logistic regression. 2nd ed. New York, Chichester: Wiley; 2000.View ArticleGoogle Scholar
- Department of Communities and Local Government. The English indices of deprivation 2010. London: Department of Communities and Local Government; 2011.Google Scholar
- Jacoby A, Lecouturier J, Bradshaw C, Lovel T, Eccles M. Feasibility of using postal questionnaires to examine carer satisfaction with palliative care: a methodological assessment. South Tyneside MAAG Palliative Care Study Group. Palliat Med. 1999;13:285–98.View ArticlePubMedGoogle Scholar
- Ingleton C, Morgan J, Hughes P, Noble B, Evans A, Clark D. Carer satisfaction with end-of-life care in Powys, Wales: a cross-sectional survey. Health Soc Care Community. 2004;12:43–52.View ArticlePubMedGoogle Scholar
- Hunt KJ, Shlomo N, Addington-Hall J. End-of-life care and achieving preferences for place of death in England: results of a population-based survey using the VOICES-SF questionnaire. Palliat Med. 2014;28:412–21.View ArticlePubMedGoogle Scholar
- Grande GE, Ewing G. National Forum for Hospice at Home. Informal carer bereavement outcome: relation to quality of end of life support and achievement of preferred place of death. Palliat Med. 2009;23:248–56.View ArticlePubMedGoogle Scholar
- Brazil K, Bainbridge D, Ploeg J, Krueger P, Taniguchi A, Marshall D. Family caregiver views on patient-centred care at the end of life. Scand J Caring Sci. 2012;26:513–8.View ArticlePubMedGoogle Scholar
- Higginson I, Priest P, McCarthy M. Are bereaved family members a valid proxy for a patient’s assessment of dying? Social Sci Med. 1994;38:553–7.View ArticleGoogle Scholar
- Hinton J. How reliable are relatives’ retrospective reports of terminal illness? Patients and relatives’ accounts compared. Social Sci Med. 1996;43:1229–36.View ArticleGoogle Scholar
- van den Beuken-van Everdingen MH J, de Rijke JM, Kessels AG, Schouten HC, van Kleef M, Patijn J. Prevalence of pain in patients with cancer: a systematic review of the past 40 years. Annals Oncol. 2007;18:1437–49.View ArticleGoogle Scholar
- Higginson IJ, Murtagh FEM, Osborne TR. Epidemiology of pain in cancer. In: Cancer pain. London: Springer; 2013. p. 5–24.View ArticleGoogle Scholar
- Higginson IJ, Hall S, Koffman J, Riley J, Gomes B. Time to get it right: are preferences for place of death more stable than we think? Palliat Med. 2010;24:352–3.View ArticlePubMedGoogle Scholar
- van der Heide A, de Vogel-Voogt E, Visser AP, van der Rijt CCD, van der Maas PJ. Dying at home or in an institution: perspectives of Dutch physicians and bereaved relatives. Support Care Cancer. 2007;15:1413–21.View ArticlePubMedPubMed CentralGoogle Scholar
- Phipps EJ, Braitman LE. Family caregiver satisfaction with care at end of life: report from the cultural variations study (CVAS). Am J Hosp Palliat Care. 2004;21:340–2.View ArticlePubMedGoogle Scholar
- Selman L, Harding R, Gysels M, Speck P, Higginson IJ. The measurement of spirituality in palliative care and the content of tools validated cross-culturally: a systematic review. J Pain Symptom Manage. 2011;41:728–53.View ArticlePubMedGoogle Scholar
- Prigerson HG, Horowitz MJ, Jacobs SC, Parkes CM, Aslan M, Goodkin K, et al. Prolonged grief disorder: psychometric validation of criteria proposed for DSM-V and ICD-11. PLoS Med. 2009;6:e1000121.View ArticlePubMedPubMed CentralGoogle Scholar
- Grande GE, Farquhar MC, Barclay SIG, Todd CJ. Caregiver bereavement outcome: relationship with hospice at home, satisfaction with care, and home death. J Palliat Care. 2004;20:69–77.PubMedGoogle Scholar