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British Journal of Cancer logoLink to British Journal of Cancer
. 2004 Jul 13;91(5):907–912. doi: 10.1038/sj.bjc.6602038

Living arrangements and place of death of older people with cancer in England and Wales: a record linkage study

E Grundy 1,*, D Mayer 1, H Young 1, A Sloggett 1
PMCID: PMC2409990  PMID: 15266318

Abstract

The main objectives of the study were to (1) see whether the household circumstances of people aged 50 years and over with cancer, and trends in these, differ from those of the rest of the population and (2) whether living arrangements and presence and health status of a primary coresident are associated with place of death among older people dying of cancer and those dying from other causes. The design included prospective record linkage study of people aged 50 years and over included in a 1% sample of the population of England and Wales (the Office for National Statistics Longitudinal Study). The main outcome measures comprised family and household type, and death at home. The household circumstances of older people with cancer were very similar to those of the rest of the population of the same age and both showed a large increase in living alone, and decrease in living with relatives, between 1981 and 1991. The primary coresident of cancer sufferers who did not live alone was in most cases a spouse, with much smaller proportions living with a child, sibling or other person. In all, 30% of spouse, and 23% of other, primary coresidents had a limiting long-term illness. Compared with people who lived alone in 1991, odds of a home death among those dying of cancer between 1991 and 1995 were highest for those who lived with a spouse who had no limiting long-term illness (odds ratio (OR) 2.52, 95% confidence interval (CI) 2.15–2.97) and raised for those living with a spouse with a long-term illness (OR 2.14, CI 1.79–2.56) and those living with someone else who was free of long-term illness (OR 2.13, CI 1.69–2.68). Higher socioeconomic status, both individual and area, was positively associated with increased chance of a home death, while older age reduced the chance of dying at home. The changing living arrangements of older people have important implications for planning and provision of care and treatment for cancer sufferers.

Keywords: palliative care, cancer, place of death, older people, longitudinal, household and family


Cancer is a predominant cause of death and in 2001 accounted for 26% of all deaths in England and Wales, compared with 20% attributable to ischaemic heart disease (Office for National Statistics, 2002). In older age groups, even higher proportions of deaths are due to cancer. Improvements in cancer survival, increases in the incidence of some cancers and the ageing of the population also mean that the prevalence of cancer in the population has increased, so there are both more people living with cancer and more people dying from cancer than in the past. In this context, the support of older people with cancer including support to die at home if they wish for those with terminal conditions, is becoming an increasingly important issue for health providers and policy makers. It has recently been suggested, for example, that if more cancer patients were enabled to die at home, the UK National Health Service could make savings of £100 m every year (Burke, 2004). However, information on relevant parameters, such as with whom people with cancer live, is very limited. Here, we investigate the living arrangements of older people, and characteristics of those they live with, and see whether these are associated with chance of a home death.

Coresidents are potential providers of emotional support, domestic help and personal and nursing care for people with cancer, although ability and willingness to provide these supports may depend on characteristics such as health status, age and relationship to the cancer patient. Support from a coresident may influence both the quality of life of cancer sufferers and their need for external services, including in-patient admission. Studies of particular patient groups from a range of settings have reported that cancer patients who live alone report more distress, poorer adjustment to diagnosis and have a poorer quality of life than those living with others (Forsberg and Cedermark, 1996; Akechi et al, 1998; Rustoen et al, 1999; Sollner et al, 1999; Sarna et al, 2002). Living arrangements may also influence chance of a home death, for which many people with cancer report a preference (Davison et al, 2001; Serra-Prat, Gallo and Picaza, 2001). Local studies of particular patient groups in the UK suggest that people dying from cancer are more likely to be admitted for terminal care if they live alone (Hinton, 1994); similar studies from Belfast, Italy and North America have reported that cancer patients living with a spouse more often die at home (Costantini et al, 1993; McWhinney, Bass and Orr, 1995; Davison et al, 2001; Gallo, Baker and Bradley, 2001). Several studies have also reported an association between socioeconomic disadvantage and a reduced chance of a home death, although some of these have only used ecological indicators of socioeconomic status (Grande, Addington-Hall and Todd, 1998; Higginson et al, 1999).

In Britain and other industrialised countries, recent decades have seen marked changes in the living arrangements of older people, including large increases in the extent of solitary living and declines in the proportion of people living with relatives other than, or in addition to, a partner and never married children. These changes have been greatest in very old age groups; between 1971 and 1991, for example, the proportion of women aged 85 years and over living in households including two or three generations fell from 42 to 21%, whereas the proportion living alone increased from 30 to 49% (Grundy, 1999). It is not known whether trends in the living arrangements of people with cancer have changed to the same extent or whether they differ from those of the rest of the population of the same age. This might be the case if, for example, older people responded to a cancer diagnosis by moving in with relatives, or having a relative move in with them, or if differentials in survival by household circumstances influenced the distribution of the population with cancer by living arrangement.

In this paper, we use data from a large, nationally representative record linkage study, the Office for National Statistics Longitudinal Study (ONS LS), to examine the living arrangements of people with cancer, trends in these living arrangements, characteristics of coresidents of cancer sufferers and associations between living arrangements and death at home.

STUDY SAMPLE AND METHODS

The ONS LS includes information on census characteristics of sample members, and those they live with, and cancer and death registration data for approximately 1% of the population of England and Wales. The sample size in the ONS LS has remained constant at approximately 540 000 individuals since 1971 (Blackwell et al, 2003). The sample was initially drawn from people enumerated in the 1971 Census and has been maintained through the addition of 1% of immigrants and new births. The data may be used both to look at trends over time (comparison of cross-sectional data from successive censuses or deaths in successive periods) and in longitudinal analyses of changes in individual circumstances or length of survival. Linkage of cancer registrations and deaths is achieved via the National Health Service Central Register. Particularly in the age groups considered here, estimated linkage rates are very high (close to 100%) and loss to follow-up low (Hattersley and Creeser, 1995).

We first compare the family and household type of people aged 50 years and over with and without a registered cancer in 1981 and 1991 to see whether the distribution by living arrangements, and trend in living arrangements, was similar for people with cancer and the rest of the population. Sample members included in this analysis were those aged 50 years and over at the relevant census who had been members of the LS for the preceding decade. People with cancer were defined as those with a malignant cancer registered in the previous 10 years (1971–1981 or 1981–1991). Cases with benign growths, in situ carcinomas and growths with uncertain, unknown or wrongly coded behaviour (which occurs when a site code is benign but behaviour is coded as malignant) were excluded; these exclusions accounted for under 10% of cases. In the fewer than 5% of cases where more than one cancer registration was recorded, first occurring registration was selected.

The classification of household type was derived from census information on families and households and has been used in other analyses of living arrangements of older people (Grundy, 1999). We classified people as solitary; living just with a spouse (couple only); with a spouse and others (generally children); those with no partner living with a never-married child (lone parent); those in households we term ‘complex’ (people living with relatives other than a spouse or never-married child, such as a married child or a sibling, and those in households containing more than one family, for example, a married couple, daughter and daughter's child); and those in communal establishments such as hospitals or nursing homes. Analyses are restricted to those permanently resident at the place of enumeration (98% of the ONS LS sample).

Secondly, for those who were living with someone else in 1991, we investigated characteristics of their primary coresident, which might be associated with ability to provide care at home for a cancer sufferer. Primary coresidents were selected using a hierarchical algorithm in which spouses, adult children, parents, siblings and other relatives were selected as the primary coresident in turn. In cases where there was more than one person in a particular category (for example, two adult children), we chose the oldest, and in the very few cases where two were of the same age we selected the woman, as being more likely to adopt a care-giving role. We distinguish between spouse primary coresidents and other primary coresidents and examine the distribution of each category by broad age group, whether or not they had a limiting long-standing illness and whether or not they had a full-time job. We also determine whether there was another adult in the household, who might be a potential support for both the person with cancer and the primary co-resident, and whether the household included a child under 18 years, who might present a competing care need.

Finally, we analysed variations in the proportions of decedents, 1991–1995, who died at home by whether they lived alone or with someone else in 1991; by health status of the coresident where there was one; by socioeconomic status; and by whether underlying cause of death was coded as cancer or not. The socioeconomic indicators drawn from the census were housing tenure (owner or renter) and whether electoral ward of residence fell into the top three or bottom two quartiles of Carstairs' index of deprivation (Carstairs and Morris, 1989). Information on date, place and cause of death (coded here using the ICD-9 classification with three digit codes) is available from linked death registration records. We calculated proportions of home deaths among LS members who died between the 1991 Census and the end of 1995 by sociodemographic characteristics, coresident's health and employment status and whether underlying cause of death was cancer. We then used logistic regression to analyse associations between presence, type (spouse or other) and health status of primary coresident with the proportion of decedents dying at home, including in the models gender, age group and socioeconomic indicators. This analysis was carried out for cancer deaths, noncancer deaths and all deaths combined in order to see whether effects varied by whether or not cancer was the cause of death.

RESULTS

Family and household circumstances of people with cancer

The 1981 sample analysed included 4238 people aged 50 years and over, who had been diagnosed with cancer in the previous decade; the equivalent 1991 sample of 6257 people was larger, reflecting the increase in the size of the older population and in the prevalence of cancer already referred to. Those living alone comprised 22.4 and 27.9%, respectively, of the 1981 and 1991 samples. As shown in Table 1, living arrangements of people with cancer varied considerably by age and gender. In both 1981 and 1991, over 80% of men with cancer aged 50–59 years lived with a spouse or a spouse and others, and although the proportion living alone or in complex types of family increased with age, even among those aged 80 years and over half lived with a spouse. Among women, the proportions living alone were much higher and the proportions living with a spouse much lower, as would be expected given gender differences in marital status distributions in older age groups. Among both men and women, the proportions living alone were higher, and proportions living with a relative other than a spouse lower, in 1991 than in 1981, especially in the oldest groups. In 1991, only 7% of men aged 80 years and over with a cancer registration lived in a complex household compared with 18% in 1981. A total of 55% of women aged 80 years and over who had cancer lived alone in 1991 and only 16% in a household including a relative other than, or in addition to, a spouse, compared with 45 and 33% respectively in 1981. These distributions and the differences between 1981 and 1991 are close to those noted in the whole population, and comparable data for the population without a cancer registration showed virtually no differences between those with and those without cancer (see appendix).

Table 1. Family/household type of people with a cancer diagnosis in the previous 10 years in 1981 and 1991.

  Census point and age group
  1981 (%)
1991(%)
  50–59 60–69 70–79 80+ 50–59 60–69 70–79 80+
Men
 Solitary 6.7 9.1 15.1 21.8 7.3 14.3 17.8 27.5
 Couple 36.9 60.9 65.8 45.0 42.6 60.7 66.0 48.3
 Couple+others 46.8 20.6 7.0 4.7 42.6 17.8 7.9 4.1
 Lone parent 2.3 2.3 1.8 2.8 1.3 0.8 1.6 2.6
 Complex 4.4 6.7 8.7 17.5 4.0 4.7 3.8 7.4
 Communal est.a <1 <1 1.5 8.1 <1 1.1 2.6 9.6
Allb (=100%) 344 608 654 211 399 859 1003 542
                 
Women
 Solitary 9.3 27.6 41.3 45.2 12.9 26.9 46.7 55.1
 Couple 43.7 47.4 33.3 10.2 44.8 49.2 34.1 11.6
 Couple+others 35.6 9.3 4.9 1.4 30.2 10.6 4.2 0.4
 Lone parent 4.7 5.4 5.8 9.1 6.7 6.4 4.2 3.9
 Complex 4.2 10.0 11.0 22.4 4.1 6.3 7.4 11.7
 Communal est.a <1 <1 3.8 11.7 <1 0.3 3.2 17.1
Allb (=100%) 593 703 773 352 612 1011 1089 742
a

Some results rounded in order to comply with confidentiality requirements.

b

Including small numbers in categories not shown such as adult children living with parents.

Primary coresidents of people with cancer in 1991 (Table 2)

Table 2. Characteristics of primary coresidents of people with cancer, 1991.

  Age group and sex of person with cancer
  Men (%)
Women (%)
  50–69 70–79 80+ 50+
50–69 70–79 80+ 50+
Characteristics of primary coresident (% with stated characteristic)       % N       % N
  Spouse primary coresident
Aged <50 years 11.7 <1 0 5.9 122 2.2 0 0 1.5 24
 50–74 years 87.9 76.0 22.0 74.4 1537 94.3 41.9 4.6 75.4 1197
 75+ years 0.5 23.8 78.1 19.7 407 3.5 58.1 95.5 23.1 366
Has long-term illness 20.6 33.5 44.6 28.6 591 27.4 41.2 48.9 32.3 512
Employed FT 17.6 1.5 <1 9.4 194 37.5 2.4 <4 26.2 416
No other adult in household 71.2 89.1 91.6 80.5 1663 74.1 88.3 95.5 79.0 1254
Child aged <18 years in household 8.4 1.6 1.1 4.9 101 5.4 <1 0 3.8 60
N (=100%) 1030 749 287 2066 2066 1079 420 88 1587 1587
                     
  Other primary coresident
Male 36.2 43.8 38.0 39.1 61 52.7 51.6 46.5 51.6 216
Female 63.8 56.3 62.0 60.9 95 47.3 48.4 53.5 48.4 210
Aged < 50 years 41.4 45.8 30.0 39.1 61 76.6 49.2 23.7 49.2 232
 50–74 years 31.0 37.5 56.0 41.0 64 14.9 30.7 52.6 30.7 126
 75+ years 27.6 16.7 14.0 19.9 31 8.5 20.2 23.7 20.2 68
Has long-term illness 27.6 41.7 18.0 28.9 45 14.9 22.6 29.0 22.6 89
Employed FT 20.7 33.3 38.0 30.1 47 52.1 41.1 36.8 41.1 191
No other adult in household 67.2 75.0 52.0 64.7 101 78.2 71.8 57.0 71.8 301
Child aged <18 years in household 17.2 10.4 12.0 13.5 21 16.5 5.7 8.8 5.7 48
N (=100%) 58 48 50 156 156 188 124 114 426 426

Note: Some results are rounded to comply with confidentiality regulations of the Longitudinal Study.

For the 4235 sample members who were living with someone else in 1991, we analysed characteristics of their primary coresidents. Most of this group (86%) lived with a spouse. The remaining 582 individuals had another primary coresident; 58% of these were adult children, 5% were parents, 12% siblings and 25% other relatives or unrelated persons. In most cases (78%), the LS member with cancer lived with one other person only and the small proportion in households including another adult decreased with age.

There was a strong association between the age group of the cancer sufferer and the age group of their spouses (λ2=76.79, P<0.0001). Thus, 78% of wives of men with cancer aged 80 years or more were themselves aged 75 years or more. Husbands of women aged 80 years and over with cancer were even more likely to themselves be aged at least 75 years. Related to this, spouse coresidents of the oldest LS members with cancer were the most likely to have a limiting long-term illness. The smaller group of non-spouse primary coresidents included a much lower proportion aged 75 years or over, not surprisingly given that many of these coresidents were children of the person with cancer. Even so, 23% of these other primary coresidents had a limiting long-standing illness. Overall, 1237 primary coresidents (26%) had a limiting long-term illness. However, this was no different from the expected number (1350, 28%) calculated using age- and sex-specific rates of limiting long-term illness.

Living arrangements and death at home

Table 3 shows the proportion of home deaths among LS members who died between the 1991 Census and the end of 1995 by sociodemographic characteristics, coresident's health and employment status and whether the underlying cause of death was cancer. A total of 28% of those dying from cancer died at home, very similar to the 26% reported for cancer deaths among people of all ages in England in 1992 (Higginson et al, 1998). The proportion of home deaths was lower among women than men, decreased with age and was lower for those living alone than for those living with someone else.

Table 3. Proportion of decedents who died at home in 5-year period following 1991 Census for cancer compared to other deaths by individual and household characteristics in 1991a.

  Cancer deaths
Other deaths
All deaths
1991 characteristics No. of deaths % occurring at home No. of deaths % occurring at home No. of deaths % occurring at home
Male 3400 30.5 8216 25.7 11616 27.1
Female 2922 24.6 8424 21.1 11346 22.0
50–59 years 837 36.1 1153 29.1 1990 32.0
60–69 years 1967 31.9 3279 29.9 5246 30.7
70–79 years 2345 26.1 6275 24.1 8620 24.6
80+ years 1173 18.5 5933 17.9 7106 18.0
Lives alone 1919 15.4 6311 20.8 8230 19.5
Lives with spouse with no long-term illness 2523 36.1 4974 25.5 7497 29.1
Lives with spouse with long-term illness 1227 30.3 2954 24.7 4181 26.3
Lives with other with no long-term illness 507 29.4 1801 24.2 2308 25.4
Lives with other with long-term illness 146 21.2 600 23.5 746 23.1
Primary coresident employed FT 762 35.6 1507 26.2 2269 29.4
Primary coresident not employed FT 3641 32.7 8822 24.7 12463 27.1
Other adult in household 935 37.0 2437 25.0 3372 28.4
No other adult in household 5387 26.2 3278 23.1 4689 23.9
Child aged <18 years in household 229 38.4 563 23.6 792 27.9
No child <18 years in household 6093 27.4 16077 23.4 22170 24.5
Owner occupier 3809 30.7 9529 24.7 13338 26.4
Tenant 2513 23.3 7111 21.6 9624 22.1
Carstairs quintile (1–3) 2824 29.9 7470 24.3 10294 25.8
Carstairs quintile (4–5) 3498 26.1 9170 22.6 12668 23.6
All 6322 27.8 16640 23.4 22962 24.6
a

This analysis excludes those in communal establishments in 1991.

Table 4 presents results from regression analysis, showing odds of death at home by primary coresident's age and health characteristics and socioeconomic indicators (other variables shown in Table 3 were dropped as they proved nonsignificant). Among those dying of cancer, odds of a home death were highest (compared with the reference category of those living alone) for those living with a spouse who had no long-term illness (odds ratio (OR) 2.53, 95% confidence interval (CI) 2.15–2.97) and significantly raised for those living with a spouse who had a long-term illness (OR 2.14, CI 1.79–2.56) or with another adult with no long-term illness (OR 2.13, CI 1.69–2.68). However, for those dying from other causes, presence of a spouse with or without long-standing illness, or other primary coresident with a long-term illness had no significant effect, and having as a primary coresident someone other than a spouse with no long-term illness only a very marginal one (OR 1.16, CI 1.02–1.32, P<0.05).

Table 4. Results from logistic regression model of proportion of decedents dying at home (in 5-year period following 1991 Census) from cancer or other causes by age, gender, type and health status of primary coresident; housing tenure and deprivation level of area of residence.

  Cancer deaths
Other deaths
All deaths
Covariate (in 1991) OR 95% CI OR 95% CI OR 95% CI
60–69 years 0.90 0.75–1.07 1.07 0.92–1.24 0.97 0.87–1.09
70–79 years 0.75** 0.63–0.90 0.80** 0.69–0.92 0.75*** 0.67–0.83
80+ years 0.56*** 0.46–0.70 0.55*** 0.47–0.64 0.52*** 0.47–0.59
Female 0.92 0.81–1.03 0.85*** 0.79–0.92 0.88*** 0.83–0.94
Lives with spouse with no long-term illness 2.53*** 2.15–2.97 0.97 0.88–1.07 1.28*** 1.18–1.39
Lives with spouse with long-term illness 2.14*** 1.79–2.56 1.05 0.94–1.17 1.25*** 1.14–1.37
Lives with other with no long-term illness 2.13*** 1.69–2.68 1.16* 1.02–1.32 1.32*** 1.18–1.47
Lives with other with long-term illness 1.37 0.90–2.08 1.12 0.92–1.37 1.17 0.98–1.40
Tenant 0.86* 0.76–0.97 0.87*** 0.81–0.94 0.86*** 0.81–0.92
Carstairs quintile 4–5 0.89* 0.79–1.00 0.90** 0.84–0.97 0.90** 0.85–0.96

Reference categories: aged 50–59 years; male; lives alone; owner occupier; lives in area in top three quintiles of Carstairs score distribution.

*

P<0.05;

**

P<0.01;

***

P<0.001.

95% CI=95% confidence interval; OR=odds ratio.

Results from the model also showed that among both those dying from cancer and those dying from other causes, older age was associated with reduced odds of a home death (even though living arrangement was included in the model) as were indicators of socioeconomic disadvantage. Those dying aged 70–79 or 80 years and over were much less likely to die at home than people in their 50s or 60s; compared with the reference category of people aged 50–59 years at death, people dying of cancer at ages 80 years and over were only just over half as likely to die at home (OR 0.56, CI 0.46–0.70). Tenants and people living in wards in the two most deprived quintiles of the Carstairs' distribution also had lower odds of a home death than owner occupiers and those living in more advantaged areas.

It is possible that these results were influenced by variations between groups in the distribution of types of cancer. However, when we performed the same analyses for grouped categories of people dying from cancers with very poor prognosis and those dying from other cancers, we found no differences between the two.

DISCUSSION

These results from a large nationally representative study show that the living arrangements of older people with cancer, and trends in these, are very similar to those for the rest of the population. By 1991, over half of female cancer sufferers aged 80 years and over, and a quarter of equivalent men, lived alone. Although these results indicate a lack of family support available within the households of many older cancer sufferers, our data do not allow us to identify familial support from non-coresidents, so these results should not be interpreted as indicating an overall lack of family support for older people with cancer. We cannot, for example, identify cancer sufferers who were supported by relatives taking it in turns to stay with them overnight, rather than moving in. Of those cancer sufferers who lived with someone else, their primary coresident was in most cases a spouse, with much smaller proportions living with a child, a sibling or another person. In all, 30% of spouse coresidents and 23% of other coresidents had a limiting long-term illness and 21% of the former and 17% of the latter were themselves aged 75 years or over. Presence, type and health status of primary coresident were associated with differentials in the proportions of people dying of cancer who died at home, but not to the same extent with home death among those dying of other causes. This difference may be because cancer deaths are more often anticipated than deaths from other causes so death at home may be planned, given appropriate support. Older age and lower socioeconomic status, both individual and area, was associated with reduced chance of a home death for both cancer deaths and deaths from other causes.

Data from the 2001 Census have not yet been added into the ONS LS, but we know from other sources that among people aged less than 75 years, the proportions living with a spouse increased reflecting a slight narrowing of sex differentials in mortality and consequent delay in widowhood (Tomassini et al, 2004). However, in the population aged 75 years and over – which is rapidly growing – the trend towards residential independence continued throughout the 1990s, albeit at a slightly slower rate. As half of all cancer deaths occur among people aged 75 years and over (National Statistics, 2001), this implies an increasing challenge to the delivery of home-based care and more pressure on hospital beds and other locations, such as hospices, for terminal care. Indeed our results may partly explain why it is that although most cancer patients express a wish for a home death, until recently the proportion of home deaths has been decreasing (Higginson et al, 1998).

The UK health secretary recently voiced a commitment to ensuring that palliative care is available to all who want it and the National Health Service has launched a pilot programme to test various at-home models for terminally ill people (Burke, 2004). It is important that such initiatives take into account the changing living arrangements of older people, changes which also have implications for the quality of life of cancer sufferers.

Acknowledgments

This research was funded through a grant made by the Department of Health Inequalities in Health Research Initiative (Ref. 121/397) to AS and EG; DM is funded under the ESRC/JISC Census programme grant to the Centre for Longitudinal Study Information and User Support group (CeLSIUS), Grant Reference H507 25 5179. ONS fund the Longitudinal Study and we are grateful to them for access to the data. The study was approved by the Longitudinal Study Research Board.

Appendix

See Table A1

Table A1. Family/household type (%) of people with no cancer diagnosis in the previous 10 years in 1981 and 1991.

  Census point and age group
  1981 (%)
1991 (%)
  50–59 60–69 70–79 80+ 50–59 60–69 70–79 80+
Men
 Solitary 6.9 10.5 17.6 27.8 9 13.3 19 30.1
 Couple 31.5 56.8 59.9 40.5 35.9 58.1 62 46.1
 Couple+others 48.8 22 9.4 5.3 44.2 19.5 9 4.4
 Lone parent 2.5 1.7 2 3.9 2.1 1.6 1.7 2.4
 Complex 7.4 7.3 8.7 15 6.1 5.8 5.7 7.5
 Communal est.a 1.2 1.1 2.5 7.6 0.6 0.9 2.4 9.2
Allb (=100%) 29 670 24 087 14 070 3623 28 442 24 465 14 961 5128
                 
Women
 Solitary 9.2 24.6 44 47.2 11.1 24.6 45.1 51.9
 Couple 37.3 47.6 31.1 9.9 42 51.1 34.9 12.1
 Couple+others 38 12.3 3.6 1.4 33 11.4 3.6 1
 Lone parent 6.7 5.1 5.4 7.2 6.6 4.9 4.7 5.2
 Complex 6.7 9.1 12.9 20.9 5.8 6.6 8.1 11.5
 Communal est.a 0.5 0.9 2.9 13.3 0.4 0.8 3.2 18.1
Allb (=100%) 30 425 28 131 21 463 9564 27 705 27 086 21 778 12 577
a

Some results rounded in order to comply with confidentiality requirements.

b

Including small numbers in categories not shown such as adult children living with parents

References

  1. Akechi T, Kugaya A, Okamura H, Nishiwaki Y, Yamawaki S, Uchitomi Y (1998) Predictive factors for psychological distress in ambulatory lung cancer patients. Support Care Cancer 6: 281–286 [DOI] [PubMed] [Google Scholar]
  2. Blackwell L, Lynch K, Smith J, Goldblatt P (2003) Longitudinal Study 1971–2001: Completeness of Census Linkage, Series LS No.10. London: Office for National Statistics [Google Scholar]
  3. Burke K (2004) Palliative care at home to get further funds if it saves money. BMJ 328: 544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Carstairs V, Morris R (1989) Deprivation and mortality: an alternative to social class? Commun Med 11: 210–219 [DOI] [PubMed] [Google Scholar]
  5. Costantini M, Camoirano E, Madeddu L, Bruzzi P, Verganelli E, Henriquet F (1993) Palliative home care and place of death among cancer patients: a population-based study. Palliat Med 7: 323–331 [DOI] [PubMed] [Google Scholar]
  6. Davison D, Johnston G, Reilly P, Stevenson M (2001) Where do patients with cancer die in Belfast? Irish J Med Sci 170: 18–23 [DOI] [PubMed] [Google Scholar]
  7. Forsberg C, Cedermark B (1996) Well-being, general health and coping ability: 1-year follow-up of patients treated for colorectal and gastric cancer. Eur J Cancer Care 5: 209–216 [DOI] [PubMed] [Google Scholar]
  8. Gallo WT, Baker MJ, Bradley EH (2001) Factors associated with home vs institutional death among cancer patients in Connecticut. J Am Geriatr Soc 49: 831–832 [DOI] [PubMed] [Google Scholar]
  9. Grande GE, Addington-Hall JM, Todd CJ (1998) Place of death and access to home care services: are certain patient groups at a disadvantage? Soc Sci Med 47: 565–579 [DOI] [PubMed] [Google Scholar]
  10. Grundy E (1999) Household and family change in mid and later life in England and Wales. In Changing Britain: Families and Households in the 1990s, McRae S (ed) pp 201–228, Oxford: Oxford University Press [Google Scholar]
  11. Hattersley L, Creeser R (1995) Longitudinal Study, 1971–1991: History, Organisation and Quality of Data. London: HMSO [Google Scholar]
  12. Higginson IJ, Astin P, Dolan S (1998) Where do cancer patients die? Ten-year trends in the place of death of cancer patients in England. Palliat Med 12: 353–363 [DOI] [PubMed] [Google Scholar]
  13. Higginson IJ, Jarman B, Astin P, Dolan S (1999) Do social factors affect where patients die?: an analysis of 10 years of cancer deaths in England. J Public Health Med 21: 22–28 [DOI] [PubMed] [Google Scholar]
  14. Hinton J (1994) Which patients with terminal cancer are admitted from home care? Palliat Med 8: 197–210 [DOI] [PubMed] [Google Scholar]
  15. McWhinney IR, Bass MJ, Orr V (1995) Factors associated with location of death (home or hospital) of patients referred to a palliative care team. Can Med Assoc J 152: 337–340 [PMC free article] [PubMed] [Google Scholar]
  16. National Statistics (2001) Mortality statistics DH228 on http://www.statistics.gov.uk/statbase/product.asp?vlnk=618&Pos=&ColRank=1;&Rank=256
  17. Office for National Statistics (2002) Report: death registrations in England and Wales, 2001:causes. Health Stats Q 14: 67–74 [Google Scholar]
  18. Rustoen T, Mourn T, Wiklund I, Hanestad BR (1999) Quality of life in newly diagnosed cancer patients. J Adv Nurs 29: 490–498 [DOI] [PubMed] [Google Scholar]
  19. Sarna L, Padilla G, Holmes C, Tashkin D, Brecht M-L, Evangelista L (2002) Quality of life of long-term survivors of non-small-cell lung cancer. J Clin Oncol 20: 2920–2929 [DOI] [PubMed] [Google Scholar]
  20. Serra-Prat M, Gallo P, Picaza JM (2001) Home palliative care as a cost-saving alternative: evidence from Catalonia. Palliat Med 15: 271–278 [DOI] [PubMed] [Google Scholar]
  21. Sollner W, Zschocke I, Zingg-Schir M, Stein B, Rumpold G, Fritsch P, Augustin M (1999) Interactive patterns of social support and individual coping strategies in melanoma patients and their correlations with adjustment to illness. Psychosomatics 40: 239–250 [DOI] [PubMed] [Google Scholar]
  22. Tomassini C, Glaser K, Douglas A, Marjolein I, Grundy E (2004) Living arrangements among older people: an overview of trends in Europe and the USA. Popul Trends 115: 2–12 [PubMed] [Google Scholar]

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