Literature DB >> 26253587

Factors associated with aggressive end of life cancer care.

Lesley A Henson1, Barbara Gomes2, Jonathan Koffman2, Barbara A Daveson2, Irene J Higginson2, Wei Gao2.   

Abstract

BACKGROUND: Many patients with cancer experience aggressive care towards the end of life (EOL) despite evidence of an association with poor outcomes such as prolonged pain and overall dissatisfaction with care.
PURPOSE: To investigate socio-demographic, clinical and community health care service factors associated with aggressive EOL cancer care.
METHODS: An analysis of pooled data from two mortality follow-back surveys was performed. Aggressive EOL care was defined as greater than or equal to one of the following indicators occurring during the last 3 months of life: greater than or equal to two emergency department visits, ≥30 days in hospital and death in hospital.
RESULTS: Of the 681 included patients, 50.1% were men and mean age at death was 75 years. The majority of patients (59.3%, 95% confidence interval (CI) 55.6-63.0%) experienced at least one indicator of aggressive EOL care: 29.7% experienced greater than or equal to two ED visits, 17.1% spent ≥30 days in hospital and 37.9% died in hospital. Patients with prostate or haematological cancer were more likely to experience aggressive EOL care (adjusted odds ratio (AOR) 4.36, 95% CI 1.39-13.70, and 4.16, 95% CI 1.38-12.47, respectively, reference group lung cancer). Patients who received greater than five general practitioner (GP) home visits (AOR 0.37, 95% CI 0.17-0.82, reference group no GP visits) or had contact with district nursing (AOR 0.48, 95% CI 0.28-0.83, reference group no contact) or contact with community palliative care services (AOR 0.27, 95% CI 0.15-0.49, reference group no contact) were less likely to experience aggressive EOL care. No association was found between aggressive EOL care and patients' age, gender, marital, financial or health status.
CONCLUSIONS: Community health care services, in particular contact with community palliative care, are associated with a significant reduction in the odds of cancer patients receiving aggressive EOL care. Expansion of such services may help address the current capacity crises faced by many acute health care systems.

Entities:  

Keywords:  Community health services; Emergency service; Hospital; Hospital mortality; Neoplasms; Palliative care; Terminal care

Mesh:

Year:  2015        PMID: 26253587      PMCID: PMC4729799          DOI: 10.1007/s00520-015-2885-4

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


Introduction

Towards the end of life (EOL), patients with cancer wish to be comfortable, be afforded dignity and privacy, and have the opportunity to achieve a sense of completion [1-4]. They also wish to avoid overly ‘intensive’ or ‘aggressive’ medical care which can be defined as care that focuses mostly or exclusively on disease-modifying treatments at the expense of good symptom management and/or advance care planning. In 2003, Earle and colleagues identified several markers of potentially overly aggressive EOL cancer care including multiple emergency department (ED) visits towards the EOL, a high number of days spent in hospital or intensive care towards the EOL, death in hospital and an underuse of hospice services [5]. Since then, several studies have further supported these findings with evidence of an association between aggressive EOL care and poor symptom control, reduced patient quality of life and an increased risk of psychiatric illness in bereaved caregivers [6-8]. Furthermore, in a randomised controlled trial of early palliative care for patients with advanced non-small cell lung cancer, Temel and colleagues found that overly aggressive EOL care may even shorten survival [9]. From a societal perspective, it is important to consider the cost-effectiveness of any health care service delivered. In the USA >10 % of the total health care budget and as much as 30 % of the Medicare budget are spent on care for those in the last year of life [10, 11]. In the UK expenditure is similar with an estimated 20 % of the National Health Service budget spent on care for those in the last year of life [12]. For cancer patients, health care spending has been shown to increase substantially in the months prior to death, with the additional costs being mostly attributable to an increased use of acute health care services such as unplanned hospital admissions and ED visits [11, 13, 14]. Yet, despite these potentially negative outcomes for both individuals and society, EOL cancer care is becoming increasingly aggressive over time [15-19]. In a population-based retrospective study of Medicare data, Earle and colleagues reported significant increases over time in the proportion of cancer patients with more than one ED visit (7.2 vs. 9.2 %; P < 0.001), an acute hospitalisation (7.8 vs. 9.1 %; P = 0.008) or admission to intensive care (7.1 vs. 9.4 %; P = 0.009) in the last month of life [15]. A number of studies have investigated this trend with several associated factors identifying gender, ethnicity and age as important determinants [20-24]. However, evidence of an association with clinical characteristics and community health care services is limited [25, 26]. The aim of our study was therefore to investigate socio-demographic, clinical and community health care service factors associated with aggressive EOL care for a cohort of 681 cancer decedents.

Methods

Study design and setting

We analysed pooled data from two mortality follow-back studies: the QUALYCARE study [27] and the International Access, Rights and Empowerment (IARE) study [28]. Mortality follow-back studies involve surveying a cohort of decedents’ significant others to gain information regarding the EOL [29]. Through their design they address a number of challenges commonly encountered when researching EOL care including the accurate identification of people at the EOL and the often high rates of participant withdrawal (typically due to ill health) that are seen with prospectively designed studies [29, 30]. In both the QUALYCARE and IARE studies, bereaved relatives/significant others were surveyed (via a postal questionnaire) regarding the care received by their family member/friend in the last 3 months of life. Both studies were conducted across London, collectively representing a socially and economically diverse urban population. All participants had access to free health care at the point of delivery through the UK’s National Health Service; however, within this broader context, there were important differences between the study samples with regard to the EOL care packages provided; the IARE study sampled patients, all of whom had accessed specialist palliative care services prior to death, whereas the QUALYCARE study included patients who had accessed generalist, specialist or no palliative care services prior to death. Our pooled study sample therefore provided us with information regarding the EOL care experiences of cancer patients across a range of health care packages and levels of palliative care input. Further information regarding each of the original studies is available elsewhere [27, 28].

Study population

Eligibility criteria for each of the original studies are described in Table 3 Appendix. For our analysis, inclusion criteria were as follows: (1) bereaved caregiver aged ≥18 years at time of survey completion, (2) family member/friend died from cancer (ICD-10 codes C00 to C97) and were ≥18 years at time of death, and (3) registration of death occurred 4 to 10 months prior to survey completion. Bereaved caregivers of patients’ whose underlying cause of death was due to non-malignant disease were excluded.

Study questionnaire

The questionnaire was developed using cognitive interviewing for the QUALYCARE study [31] and then adapted for use by the IARE study. Both questionnaire versions include five questions about the deceased’s health state 3 months prior to death (using the EuroQol Five-Dimensional Questionnaire (EQ5D-3L) [32]) and several questions regarding the number and type of health care services used during the deceased’s last 3 months of life.

Outcome measure and explanatory variables

For our primary outcome, we calculated a composite measure, based on markers of potentially aggressive EOL cancer care developed by Earle and colleagues [5, 33], where we scored each patient one point per occurrence of any of the following three indicators: greater than or equal to two ED visits in the last 3 months of life, ≥30 days in hospital in the last 3 months of life and death in hospital. We then dichotomised the composite score into two groups: those who experienced no indicators of aggressive EOL care (composite score = 0) and those who experienced at least one indicator (composite score = 1–3). We examined three groups of variables potentially associated with our primary outcome: socio-demographics, clinical characteristics and community health care service factors. Socio-demographics included age at death (categorised into five groups; <60 (reference), 60–69, 70–79, 80–89 and 90+ years), gender (reference female), marital status (married or with partner (reference), widowed, divorced/ separated and single) and living circumstances dichotomised as living with others (reference) or living alone. A subjective measure of patients’ financial hardship was reported from five possible categories and dichotomised for analysis into those described as living comfortably (reference) compared to all other groups (doing alright, just about getting by, finding it quite difficult and finding it very difficult). Clinical characteristics included patients’ health state 3 months prior to death and underlying cancer diagnosis. Health state was measured using the EQ5D-3L [32] which includes questions on mobility, ability to self-care, activity level, pain/discomfort and anxiety/depression. Underlying type of cancer was categorised into seven groups (lung (reference), breast, prostate, gastrointestinal tract, haematological, unknown primary and other). Use of community health care services in the last 3 months of life included the number of general practitioner (GP) home visits (categorised as none (reference), one to five and greater than five visits), contact with community palliative care services (yes or no (reference)), and contact with district nursing (yes or no (reference)). Community palliative care services were defined as those that specifically provided palliative and/or EOL care to patients in non-hospital settings and included services such as Hospice at Home and Marie Curie or Macmillan nursing. District nursing was defined as any other nursing care (i.e. not exclusively palliative or EOL care nursing) received by patients in non-hospital settings such as the patients’ home.

Statistical analysis

We used summary statistics to report patient demographic data and describe the aggressiveness of EOL care experienced. Differences between patients who did and did not experience aggressive care were tested using a chi-squared test. The likelihood of patients experiencing aggressive EOL care was investigated using multivariable logistic regression, where we calculated adjusted odds ratios (AORs) and their corresponding 95 % confidence intervals (CIs). Based on findings of a recently published systematic review [24], the logistic model was constructed with the following variables included a priori: age, gender, financial status, marital status, type of cancer and contact with palliative care services. All additional variables were included if found to be significant (p < 0.10) at univariate analysis. We conducted sensitivity analysis to explore the potential impact to our findings from the two different study samples. Stata/IC 13 (STATA, College Station, TX, USA) was used for all statistical analysis.

Results

The pooled dataset contains survey responses from 681 bereaved caregivers from across five London health regions (QUALYCARE n = 554, IARE n = 127). Mean age at death was 75 years; 50.1 % were men. Most lived with others prior to death (69.7 %). The two most common diagnoses were gastrointestinal cancer (24.5 %) and lung cancer (21.3 %) (Table 1).
Table 1

Socio-demographics, clinical characteristics and community health care service use of study sample

Entire cohortPatients not experiencing any aggressive carePatients experiencing aggressive careQUALYCARE cohortQUALYCARE patients experiencing aggressive careIARE cohortIARE patients experiencing aggressive care
N % N % N % N % N % N % N %
68110027740.740459.355410029954.012710010582.7
Age in years
 <60679.83311.9348.46712.13411.400.000.0
 60–6914120.74917.79222.811220.26622.12922.82624.8
 70–7919128.16924.912230.214025.38227.45140.14038.1
 80–8922833.510537.912330.519034.39130.43829.93230.5
 90+547.9217.6338.2458.1268.797.176.7
Gender
 Male34150.112745.921453.028250.916644.55946.54845.7
 Female34049.015054.219047.027249.113355.56853.55754.3
Financial status
 Living comfortably32348.114251.618145.627349.913846.95040.04341.8
 Not living comfortably34951.913348.421654.427450.115653.17560.06058.3
Marital status
 Married or with partner32350.614754.717647.728953.214750.53435.82937.2
 Widowed19129.97728.611430.915428.48428.93739.03038.5
 Divorced/Separated599.3207.43910.6478.72910.01212.61012.8
 Single6510.2259.34010.8539.83110.71212.6911.5
Living circumstances
 Living alone20330.37728.312631.737969.819867.68769.17370.2
 Living with others46669.719571.727168.316430.29532.43931.03129.8
Cancer type
 Lung14521.36322.78220.311921.56421.42620.51817.1
 Breast527.62810.1245.9478.5206.753.943.8
 Prostate466.882.9389.4376.73010.097.187.6
 Gastrointestinal tract16724.57828.28922.015728.38127.1107.987.6
 Haematological547.993.34511.1346.1289.42015.81716.2
 Cancer of unknown primary619.0207.24110.2478.5289.44333.91312.4
 Othera 15622.97125.68521.011320.44816.14333.93735.2
Mobility at 3 months before death
 No problem15924.65821.810126.613225.07827.52723.12324.0
 Some problem42365.517666.224765.035066.218464.87362.46365.6
 Confined to bed649.93212.0328.4478.9227.81714.51010.4
Self-care at 3 months before death
 No problem26241.19335.516945.021240.612845.75043.14142.7
 Some problem25940.612045.813937.021541.210236.44437.93738.5
 Unable to self-care11718.34918.76818.19518.25017.92219.01818.8
Activity at 3 months before death
 No problem13721.34015.29725.610620.27125.23126.52626.8
 Some problem28644.512748.115942.024145.812142.94538.53839.2
 Unable to walk22034.29736.712332.517934.09031.94135.03334.0
Pain/Discomfort at 3 months before death
 No pain11317.74617.46717.99718.65419.31613.81313.7
 Some pain39261.415859.923462.432261.617963.97060.35557.9
 Extreme pain13421.06022.77419.710419.94716.83025.92728.4
Anxiety/Depression at 3 months before death
 No anxiety/depression22335.59135.113235.817634.19735.04742.03538.0
 Some anxiety/depression31650.312849.418851.026751.714652.74943.84245.7
 Extreme anxiety/depression8914.24015.44913.37314.23412.31614.31516.3
Number of GP home visits during the last 3 months of life
 None18131.44619.113540.313829.29637.94341.83947.6
 1–533858.715966.017953.428760.714155.75149.53846.3
 >5579.93614.9216.34810.2166.398.756.1
Community palliative care
 No20531.23613.216943.915629.012142.24940.84849.0
 Yes45368.823786.821656.138271.016657.87159.25051.0
District nurse
 No22734.75620.817144.417232.212142.25545.85051.0
 Yes42765.321379.221455.636267.816657.86554.24849.0

aOther cancers included those of the urinary tract (5.0 %), gynaecological (3.8 %), central nervous system (3.8 %) and skin (1.8 %) with percentage figures referring to entire cohort data

Socio-demographics, clinical characteristics and community health care service use of study sample aOther cancers included those of the urinary tract (5.0 %), gynaecological (3.8 %), central nervous system (3.8 %) and skin (1.8 %) with percentage figures referring to entire cohort data Most patients in our sample (59.3 % (95 % CI 55.6–63.0 %)) experienced at least one indicator of aggressive care during the last 3 months of life: 29.7 % experienced greater than or equal to two ED visits, 17.1 % spent ≥30 days in hospital and 37.9 % died in hospital (Fig. 1). The median composite score of aggressive EOL care was 1 (range 0 to 3).
Fig. 1

a Graph showing number of patients experiencing greater than or equal to two emergency department (ED) visits in the last 3 months of life, ≥30 days spent in hospital in the last 3 months of life and death in hospital, and composite measure of aggressive end of life (EOL) care calculated from these indicators for entire study cohort. b Graph showing number of patients experiencing greater than or equal to two ED visits in the last 3 months of life, ≥30 days spent in hospital in the last 3 months of life and death in hospital, and composite measure of aggressive EOL care calculated from these indicators for the QUALYCARE cohort of sample. c Graph showing number of patients experiencing greater than or equal to two ED visits in the last 3 months of life, ≥30 days spent in hospital in the last 3 months of life and death in hospital, and composite measure of aggressive EOL care calculated from these indicators for the IARE cohort of sample

a Graph showing number of patients experiencing greater than or equal to two emergency department (ED) visits in the last 3 months of life, ≥30 days spent in hospital in the last 3 months of life and death in hospital, and composite measure of aggressive end of life (EOL) care calculated from these indicators for entire study cohort. b Graph showing number of patients experiencing greater than or equal to two ED visits in the last 3 months of life, ≥30 days spent in hospital in the last 3 months of life and death in hospital, and composite measure of aggressive EOL care calculated from these indicators for the QUALYCARE cohort of sample. c Graph showing number of patients experiencing greater than or equal to two ED visits in the last 3 months of life, ≥30 days spent in hospital in the last 3 months of life and death in hospital, and composite measure of aggressive EOL care calculated from these indicators for the IARE cohort of sample Relative to those with lung cancer, patients with prostate or haematological cancer were significantly more likely to experience aggressive care during their last 3 months of life (AOR 4.36, 95 % CI 1.39–13.70, and AOR 4.16, 95 % CI 1.38–12.47, respectively). No association was found between aggressive EOL care and cancer patients’ health status 3 months prior to death (Table 2).
Table 2

Findings from multivariable analysis for factors associated with cancer patients experiencing aggressive care during the last 3 months of life

VariableOR95 % CIAOR95 % CI
Age in years
 <601.00
 60–691.821.00–3.321.820.82–4.03
 70–791.720.97–3.031.700.78–3.71
 80–891.140.66–1.960.980.45–2.13
 >901.530.73–3.181.440.49–4.26
Gender
 Female1.00
 Male1.330.98–1.811.350.84–2.18
Financial status
 Living comfortably1.00
 Not living comfortably1.270.94–1.741.340.88–2.05
Marital status
 Married or with partner1.00
 Widowed1.240.86–1.781.500.85–2.65
 Divorced/Separated1.630.91–2.921.040.48–2.24
 Single1.340.77–2.311.650.70–3.88
Cancer type
 Lung1.00
 Breast0.660.35–1.250.980.38–2.52
 Prostate3.651.55–8.58 4.36 1.39–13.70
 Gastrointestinal tract0.880.56–1.371.350.74–2.44
 Haematological3.841.70–8.68 4.16 1.38–12.47
 Cancer of unknown primary1.580.84–2.961.340.62–2.92
 Other0.920.58–1.450.910.48–1.74
Self-care at 3 months before death
 No problem1.00
 Some problem0.640.45–0.910.930.53–1.62
 Unable to self-care0.760.49–1.191.430.63–3.22
Activity at 3 months before death
 No problem1.00
 Some problem0.520.33–0.800.740.40–1.39
 Unable to walk0.520.33–0.830.690.31–1.49
Number of GP home visits during the last 3 months of life
 None1.00
 1–50.380.26–0.58 0.59 0.35–1.00
 >50.200.10–0.39 0.37 0.17–0.82
Community palliative care
 No1.00
 Yes0.190.13–0.30 0.27 0.15–0.49
District nurse
 No1.00
 Yes0.330.23–0.48 0.48 0.28–0.83

Numbers in bold represent statistically significant findings, p < 0.05

OR odds ratio, 95 % CI 95 % confidence interval, AOR adjusted odds ratio

Findings from multivariable analysis for factors associated with cancer patients experiencing aggressive care during the last 3 months of life Numbers in bold represent statistically significant findings, p < 0.05 OR odds ratio, 95 % CI 95 % confidence interval, AOR adjusted odds ratio Patients who had contact with community health care services (GP home visits, district nursing, and community palliative care) were significantly less likely to experience aggressive care during their last 3 months of life (Table 2). For GP home visits, an incremental pattern was found whereby patients with greater than five visits had a greater reduction in odds than those who had one to five visits (AOR 0.37, 95 % CI 0.17–0.82, and AOR 0.59, 95 % CI 0.35–1.00, respectively (reference group no GP home visit)). Compared to patients who had no contact with district nursing, those with contact were less likely to experience aggressive EOL care (AOR 0.48, 95 % CI 0.28–0.83); however, the greatest reduction in odds was found for cancer patients who had contact with community palliative care services (AOR 0.27, 95 % CI 0.15–0.49 (reference group no contact)). We found no association between aggressive EOL care and cancer patients’ age, gender, marital status or financial status (Table 2). No changes to the effect outcomes were found at sensitivity analysis.

Discussion

We used pooled data from two mortality follow-back surveys to examine the aggressiveness of EOL care received by 681 deceased cancer patients. We found statistically and clinically significant variations based on patients’ underlying cancer type and their contact with community health care services. Supporting previously published studies, we found that patients with haematological cancers were more likely to experience aggressive EOL care compared to those with lung cancer [16, 34]. Features related to both the disease process and the discipline of haemato-oncology are likely to contribute to this effect, for example, chemotherapy remains the main and often only form of therapy available, clinical trial involvement is particularly high and haemato-oncology clinical services have historically remained distinct from those of solid tumours with less collaboration between disciplines, including with palliative care [35]. Our finding that patients with prostate cancer also have an increased risk of experiencing aggressive EOL care is interesting, and additional research exploring patterns of acute care towards the EOL by cancer sub-groups is warranted. In our sample, although the proportion of prostate cancer patients who spent ≥30 days in hospital during the last 3 months of life was similar to patients with other cancer types, we found that prostate cancer patients were more likely to have greater than or equal to two ED visits in the last 3 months of life and/or die in hospital (Table 4 Appendix). Metastatic bone disease is commonly seen in patients with advanced prostate cancer, and complications from this pattern of disease spread, in particular pathological fractures, typically result in ED visits. This may explain some of the higher rates of ED use that we found in our sub-group of prostate cancer patients; however, further research exploring this finding is required. Our finding of lower odds of aggressive EOL care associated with GP home visits supports Almaawiy and colleagues [25]. In their study of 9467 cancer decedents in Canada, increased family physician visits were associated with reduced odds for both hospital death and an ED visit in the last 2 weeks of life [25]. However, Almaawiy et al. found that patients with greater than four visits per week had increased odds of hospitalisations and hospital death, the opposite of our study which found that care was less aggressive for patients who had greater than five GP home visits than for those who had one to five or no GP visits. Our data support growing observational and experimental evidence that community palliative care is associated with lower odds of aggressive EOL care [9, 24, 36, 37]. Expansion of palliative care services may therefore be one approach towards helping address the current capacity crises faced by many acute health care systems. Of note, the effect size found in our study (AOR 0.27, 95 % CI 0.15–0.49) was greater than those previously reported which may be related to our study time period (the last 3 months of life) as this is longer than those reported by several similar studies [20, 37]. This is particularly relevant given the small but emerging body of evidence indicating a greater reduction in risk of patients receiving aggressive EOL care with earlier palliative care involvement [9, 37, 38]. Further investigation of the effect according to timing of palliative care interventions is necessary. Several previously published studies have reported that men and patients of lower financial status have an increased risk of experiencing aggressive EOL care [15, 16, 20–22, 25, 26, 34]. In our study, although we found a similar pattern, our results for these factors did not reach statistical significance. This may be related to our study sample size which when compared to similar studies reporting significant findings is much smaller, with the later mostly analysing population-based routinely collected data. We also used a subjective measure of financial hardship which in health research in less common than objective socio-economic status measures [39]. Subjective assessments of financial status are valid alternatives to objective measures and are particularly valuable when objective measures, which require responses to multiple questions and are prone to having high levels of missing data, are felt to be inappropriate [40, 41]. The lack of association found between patient age and aggressive EOL care is inconsistent with the wider scientific literature where a decrease in aggressiveness with increasing patient age has generally been reported [15, 17, 20, 42, 43]. This requires further investigation but may reflect a specific change in UK policy towards cancer treatment for older people, with equality legislation in 2012 [44]. We also found no association between aggressive EOL care and cancer patients’ health status (mobility, ability to self-care, activity level, pain/discomfort and anxiety/depression) 3 months prior to death, suggesting that socio-demographic and/or environmental factors may be of greater importance when determining the type of care that patients are likely to receive towards the EOL. In a systematic review of place of death by Gomes and Higginson in 2006, environmental factors were also found to be more influential than factors relating to the underlying illness [45]. These findings have important policy implications when considering how future acute health care services are delivered, especially given the ageing population and anticipated rise in cancer cases [46].

Limitations

Mortality follow-back surveys have recognised limitations primarily relating to the validity of bereaved caregivers’ responses as proxies for the decedents. For objective measures, caregiver responses have been shown to have moderate to good agreement with patients’; however, for subjective experiences, such as pain or anxiety, less overall agreement has been reported and it is therefore possible that the responses received in our study may not be truly representative of the patients’ experiences at that time [47, 48]. As is the case with all secondary analysis, our choice of variables was limited by the data collected for the purposes of the primary studies. For our dependent variable, this meant that two of the three EOL care indicators that we used to calculate our composite outcome measure have not themselves been validated (greater than or equal to two ED visits in the last 3 months of life and ≥30 days in hospital in the last 3 months). However, both indicators were considered to be clinically relevant and were based on well-established validated markers [5, 33]. The third indicator, death in hospital, is commonly used as a marker of potentially aggressive EOL care arising from consistent evidence that the majority of cancer patients would prefer to die at home [49]. With regard to the independent variables investigated, we explored socio-demographic factors, clinical characteristics and patient receipt of GP home visits, district nursing and community palliative care. Further information regarding the local availability of health and social care services was not available. As our study included patients from across London, it is therefore possible that regional variations in care provision, for example, bed availability and/or community hospice services, may have influenced the parameters that we used to define our primary outcome of aggressive EOL care. Finally, because of the different sampling approaches used by each of the primary studies, the prevalence of aggressive EOL care in our pooled sample may not be representative of, and therefore generalisable to, the wider cancer population. However, these different sampling approaches were not expected to impact the factors associated with aggressive EOL care which was the primary focus of our study, and benefits to pooling the datasets included being able to explore the EOL care experiences of patients receiving a range of different health care packages including various levels of palliative care input. Furthermore, the QUALYCARE study sampled participants according to place of death, with deaths in hospital undersampled. It is therefore likely that our estimation of aggressive EOL care, which included death in hospital as one of its indicators, is actually lower than that of the true population.

Conclusions

Our results reveal an association between aggressive care in the last 3 months of life and a diagnosis of prostate or haematological cancer. We also found that community health care services, in particular contact with community palliative care, are associated with a significant reduction in the odds of cancer patients receiving aggressive care towards the EOL. Expansion of such services may help address the current capacity crises faced by many acute health care systems. Contrary to earlier studies, we found that older age did not appear to influence the risk of cancer patients receiving aggressive EOL care.
Table 3

Eligibility criteria for each of the primary studies included in secondary analysis

Eligibility criteriaAdditional comments
QUALYCARE [27]Inclusion criteriaThe four Primary Care Trusts were specifically chosen as they provided contrasting cancer home death rates and contrasting deprivation levels within London. The study sample was then stratified by Primary Care Trust and place of death so that in each area the sample included all deaths that occurred at home, all hospice deaths, all nursing home deaths, and a random sample of NHS acute hospital deaths.
Study participants: Bereaved relatives of people aged ≥18 years who died from cancer over a 1-year period and who lived in one of four London Primary Care Trusts: Bromley, Islington, Sutton and Merton or Westminster1.Deceased last resident in one of the four following Primary Care Trusts as recorded in the death registration: Bromley, Islington, Sutton and Merton or Westminster.2.Date of death registration within 4 to 10 months before sampling.3.Deceased aged ≥18 at time of death.4.Cancer (ICD10 codes C00–D48) recorded as ‘underlying cause of death’ or in the lowest completed cause of death line in death certificate.
Exclusion criteria
1.Place of death other than an NHS acute hospital, the deceased’s own home, hospice or nursing home.2.Place of death unknown.3.Deaths registered by a coroner.
IARE [28]Study participants: Bereaved carers of older patients who had accessed specialist palliative care prior to death.Inclusion criteria
1.Deceased aged ≥65 years at time of death and had accessed specialist palliative care prior to death.2.Main informal carer aged ≥18 years and known to the palliative care team as the primary informal carer that was most involved in providing information and unpaid care for the patient.3.Date of death registration within 4 to 10 months before sampling.
Exclusion criteria
1.Adults who did not provide informal (unpaid) care of an eligible patient.2.Carers aged <18 years.
Table 4

Number of patients experiencing greater than or equal to two emergency department (ED) visits in the last 3 months of life, ≥30 days spent in hospital in the last 3 months of life and death in hospital for each cancer type

Entire cohortPatients with greater than or equal to two ED visits in the last 3 months of lifePatients who spent ≥30 days in hospital in the last 3 months of lifePatients who died in hospital
N N % N % N %
68119429.810815.925838.0
Cancer type
 Lung1453726.61510.35336.6
 Breast521020.047.71325.0
 Prostate462252.41123.92758.7
 Gastrointestinal tract1674225.32716.25231.1
 Haematological541838.31629.63259.3
 Cancer of unknown primary612439.31118.02642.6
 Othera 1564127.92415.45535.5

aOther cancers included those of the urinary tract (5.0 %), gynaecological (3.8 %), central nervous system (3.8 %) and skin (1.8 %) with percentage figures referring to entire cohort data

  43 in total

1.  Hospice care and survival among elderly patients with lung cancer.

Authors:  Akiko M Saito; Mary Beth Landrum; Bridget A Neville; John Z Ayanian; Jane C Weeks; Craig C Earle
Journal:  J Palliat Med       Date:  2011-07-18       Impact factor: 2.947

Review 2.  Judging the quality of care at the end of life: can proxies provide reliable information?

Authors:  C J McPherson; J M Addington-Hall
Journal:  Soc Sci Med       Date:  2003-01       Impact factor: 4.634

3.  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.

Authors:  Barbara Gomes; Paul McCrone; Sue Hall; Julia Riley; Jonathan Koffman; Irene J Higginson
Journal:  Support Care Cancer       Date:  2013-06-08       Impact factor: 3.603

4.  Trends in the aggressiveness of end-of-life cancer care in the universal health care system of Ontario, Canada.

Authors:  Thi H Ho; Lisa Barbera; Refik Saskin; Hong Lu; Bridget A Neville; Craig C Earle
Journal:  J Clin Oncol       Date:  2011-03-14       Impact factor: 44.544

5.  Time spent in hospital in the last six months of life in patients who died of cancer in Ontario.

Authors:  J Huang; C Boyd; S Tyldesley; J Zhang-Salomons; P A Groome; W J Mackillop
Journal:  J Clin Oncol       Date:  2002-03-15       Impact factor: 44.544

Review 6.  Cost savings at the end of life. What do the data show?

Authors:  E J Emanuel
Journal:  JAMA       Date:  1996-06-26       Impact factor: 56.272

7.  Are family physician visits and continuity of care associated with acute care use at end-of-life? A population-based cohort study of homecare cancer patients.

Authors:  Ummukulthum Almaawiy; Gregory R Pond; Jonathan Sussman; Kevin Brazil; Hsien Seow
Journal:  Palliat Med       Date:  2013-06-18       Impact factor: 4.762

Review 8.  Emergency department attendance by patients with cancer in their last month of life: a systematic review and meta-analysis.

Authors:  Lesley A Henson; Wei Gao; Irene J Higginson; Melinda Smith; Joanna M Davies; Clare Ellis-Smith; Barbara A Daveson
Journal:  J Clin Oncol       Date:  2014-12-22       Impact factor: 44.544

9.  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.

Authors:  Barbara Gomes; Paul McCrone; Sue Hall; Jonathan Koffman; Irene J Higginson
Journal:  BMC Cancer       Date:  2010-08-02       Impact factor: 4.430

10.  The future burden of cancer in England: incidence and numbers of new patients in 2020.

Authors:  H Møller; L Fairley; V Coupland; C Okello; M Green; D Forman; B Møller; F Bray
Journal:  Br J Cancer       Date:  2007-05-01       Impact factor: 7.640

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  27 in total

1.  Association between strong patient-oncologist agreement regarding goals of care and aggressive care at end-of-life for patients with advanced cancer.

Authors:  Sara L Douglas; Barbara J Daly; Amy R Lipson; Eric Blackstone
Journal:  Support Care Cancer       Date:  2020-02-14       Impact factor: 3.603

2.  Resource use in the last three months of life by lung cancer patients in southern Ontario.

Authors:  Y Wang; A Van Dam; M Slaven; K J Ellis; J R Goffin; R A Juergens; P M Ellis
Journal:  Curr Oncol       Date:  2019-08-01       Impact factor: 3.677

3.  Impact of early palliative interventions on the outcomes of care for patients with non-small cell lung cancer.

Authors:  Carsten Nieder; Terje Tollåli; Ellinor Haukland; Anne Reigstad; Liv Randi Flatøy; Kirsten Engljähringer
Journal:  Support Care Cancer       Date:  2016-05-21       Impact factor: 3.603

4.  Factors related to specialized palliative care use and aggressive care at end of life in Japanese patients with advanced solid cancers: a cohort study.

Authors:  Yusuke Hiratsuka; Takayuki Oishi; Mitsunori Miyashita; Tatsuya Morita; Jennifer W Mack; Yuko Sato; Masahiro Takahashi; Keigo Komine; Ken Saijo; Chikashi Ishioka; Akira Inoue
Journal:  Support Care Cancer       Date:  2021-06-25       Impact factor: 3.603

Review 5.  Evidence for overuse of medical services around the world.

Authors:  Shannon Brownlee; Kalipso Chalkidou; Jenny Doust; Adam G Elshaug; Paul Glasziou; Iona Heath; Somil Nagpal; Vikas Saini; Divya Srivastava; Kelsey Chalmers; Deborah Korenstein
Journal:  Lancet       Date:  2017-01-09       Impact factor: 79.321

6.  Racial Disparities in End-of-Life Care Between Black and White Adults With Metastatic Cancer.

Authors:  Laura M Perry; Leah E Walsh; Ronald Horswell; Lucio Miele; San Chu; Brian Melancon; John Lefante; Christopher M Blais; James L Rogers; Michael Hoerger
Journal:  J Pain Symptom Manage       Date:  2020-09-15       Impact factor: 3.612

Review 7.  Conceptualizing and Counting Discretionary Utilization in the Final 100 Days of Life: A Scoping Review.

Authors:  Paul R Duberstein; Michael Chen; Michael Hoerger; Ronald M Epstein; Laura M Perry; Sule Yilmaz; Fahad Saeed; Supriya G Mohile; Sally A Norton
Journal:  J Pain Symptom Manage       Date:  2019-10-19       Impact factor: 3.612

8.  Current status of intensive end-of-life care in children with hematologic malignancy: a population-based study.

Authors:  Nobuyuki Yotani; Daisuke Shinjo; Motohiro Kato; Kimikazu Matsumoto; Kiyohide Fushimi; Yoshiyuki Kizawa
Journal:  BMC Palliat Care       Date:  2021-06-07       Impact factor: 3.234

9.  Preferred and actual place of death in haematological malignancies: a report from the UK haematological malignancy research network.

Authors:  Rebecca Sheridan; Eve Roman; Alex G Smith; Andrew Turner; Anne C Garry; Russell Patmore; Martin R Howard; Debra A Howell
Journal:  BMJ Support Palliat Care       Date:  2020-05-11       Impact factor: 3.568

10.  Hospitalization Rates and Predictors of Rehospitalization Among Individuals With Advanced Cancer in the Year After Diagnosis.

Authors:  Robin L Whitney; Janice F Bell; Daniel J Tancredi; Patrick S Romano; Richard J Bold; Jill G Joseph
Journal:  J Clin Oncol       Date:  2017-08-29       Impact factor: 50.717

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