Literature DB >> 30501459

Early initiation of palliative care is associated with reduced late-life acute-hospital use: A population-based retrospective cohort study.

Danial Qureshi1,2, Peter Tanuseputro3, Richard Perez2, Greg R Pond4, Hsien-Yeang Seow2,4.   

Abstract

Entities:  

Keywords:  Canada; Palliative care; administrative claims; cohort studies; end-of-life care; health services; healthcare; hospitalization

Mesh:

Year:  2018        PMID: 30501459      PMCID: PMC6399729          DOI: 10.1177/0269216318815794

Source DB:  PubMed          Journal:  Palliat Med        ISSN: 0269-2163            Impact factor:   4.762


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What is already known about the topic? Early palliative care has been shown to reduce acute care service use at the end of life, but findings are mostly limited to cancer patients receiving hospital-based palliative care interventions. Recent studies show that both hospital- and community-based palliative care are associated with improved end-of-life outcomes, but never investigated the association between early versus late palliative care and end-of-life service utilization. What this paper adds? Includes palliative care services initiated in both hospital and community-based settings. Early initiation of palliative care was associated with reduced acute-hospital use in the last 2 weeks of life. Compared to cancer decedents, late palliative care had a notably greater association with increased acute care use in organ failure and frailty decedents. Implications for practice, theory or policy Clear disparities exist in palliative care timing for non-cancer decedents, suggesting that these populations may reap greater benefits if identified earlier. Addressing this gap would ultimately help reduce costly end-of-life acute-care service use. Future research should examine effective interventions that would allow for earlier identification of patients (including cancer and non-cancer) who may benefit from timely palliative care. Differences in underlying characteristics of early and late palliative care recipients should also be further investigated.

Introduction

End-of-life discussions and interventions to control advanced symptoms often occur only during the last few weeks of life. This late initiation is often also associated with care that is primarily delivered in hospital settings—the default place of care when community-based care (i.e. in patient’s homes) is not established early and adequately. Palliative care that is earlier on in the course of one’s disease—and even concurrently with active treatments—can drastically improve symptom control, reduce distress experienced from standard therapies,[1-3] and can fulfill the wishes of many patients who prefer home-based care.[4-7] Consequently, policymakers have made a push toward supporting more patients at home during end-of-life—a widely used administrative indicator of end-of-life quality that also strives to reduce acute-care service use.[8-11] Past randomized controlled trials have illustrated that early palliative care is associated with better end-of-life outcomes.[12-14] For instance, a landmark study by Temel et al.[13] demonstrated that early palliative care delivered concurrently with standard oncologic care was associated with improved quality of life, reduced depressive symptoms, longer survival rates, and less aggressive care at the end of life. Although informative, results from these trials were limited to cancer patients who received hospital-based palliative care interventions. Recent research shows that community-based palliative care may also lead to improvements—such as reduced acute-hospital use and hospital deaths—but never investigated the impact of early versus late palliative care on end-of-life service use and mainly focused on small populations (mostly cancer) receiving care from a particular setting.[15-24] Furthermore, a large abundance of existing palliative care research uses late-life acute hospitalizations as an outcome to indicate poor quality care. However, not all hospitalizations are considered inappropriate as some involve a palliative care approach; despite this, most research does not differentiate between those who did and did not receive palliative care in acute settings. To address these knowledge gaps, we conducted a population-based retrospective cohort study of cancer and non-cancer Ontario decedents to investigate the association between early versus late palliative care and acute-hospital use in the last 2 weeks of life. Our study specifically provides information on acute-hospital use with and without palliative care involvement during the hospitalization. We also report on all other end-of-life services used in a publicly funded healthcare system and assess disease-specific trends (frailty, organ failure, cancer). Our study advances prior work by investigating the association between palliative care (both hospital- and community-based) timing and end-of-life service use, which can inform other countries with similar or different healthcare systems.

Methods

Study design and data sources

We conducted a retrospective cohort study of Ontario decedents aged 18 years or older, capturing all deaths from 1 April 2010 to 31 December 2012. To identify all services used across several health sectors in the last 2 weeks of life (defined as: 1–14 days before death + date of death (day 0)), patient data were linked using multiple administrative databases held at ICES[25], including the Vital Statistics Database (Office of the Registrar General—Deaths), which captured place, cause, and date of death; Registered Persons Database, which captured all demographic information including sex, age, and postal code; Ontario Health Insurance Plan Claims Database, which captured all claims data for physician services in both inpatient and outpatient settings; Home Care Database, capturing publicly funded home care services; Discharge Abstract Database, capturing all acute-care use, including acute care with and without palliative care (identified using a previously derived comprehensive list of palliative care billing codes);[26,27] National Ambulatory Care Reporting System, which captured all emergency department visits; Continuing Care Reporting System, capturing care provided in long-term care and complex continuing care (i.e. equivalent to subacute care settings); and Statistics Canada Census data, which captured income quintile and rurality via postal codes.[28] Five distinct categories exist for causes of death: terminal illness (e.g. cancer), organ failure (e.g. chronic heart failure), frailty (e.g. Alzheimer’s disease), sudden death (e.g. accident), and other;[28-30] these cohorts have been previously used in Canada.[31,32] In this study, we refer to these categories as ‘disease cohorts’. Decedents were assigned to a disease cohort based on the underlying cause of death code (10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10)-CA diagnosis code) found in the vital statistics records, as defined previously.[31] For clarity, we replaced the label ‘terminal illness’ with ‘cancer’ since the majority of individuals in this disease cohort had a cancer-related death. Decedents in the ‘sudden death’ and ‘other’ cohorts were excluded in our analyses due to their small numbers and because of the diminished potential role of palliative care in many cases.

Exposure

The main exposure was time from first palliative care initiation to death from hospital or community, defined as the first instance of any palliative care service captured in the last year of life. We used a previously derived comprehensive list of palliative care billing codes to identify each individual’s date of palliative care initiation prior to death.[27] The timing of the exposure was calculated by finding the difference (in days) between an individual’s date of death and date of palliative care initiation. We categorized decedents into the following recipient groups, according to initiation time before death: early (⩾60 days), late (⩾15 to <60 days), very late (⩾0 to ⩽14 days), and never (no initiation). Cut-offs for these categories were chosen based on expert opinion consensus and previous literature proposing similar timeframes for defining palliative care receipt.[33,34] Note that we mainly focus on comparing early versus late recipients and exclude ‘very late’ recipients from much of our analyses; this was done to avoid confounding issues due to overlap with the outcome period (i.e. it would be unclear if palliative care was initiated prior to or after use of acute care within the last 2 weeks of life).

Outcomes

The primary outcome was use of acute-care and community services during the last 2 weeks of life. We classified these services by care settings. Acute-care settings were composed of (1) ‘palliative-acute care’, defined as an acute-hospital admission that had palliative involvement, and (2) ‘non-palliative-acute care’, defined as an acute-hospital admission without any palliative involvement.[27] Other outcomes we examined include subacute care, emergency department, and community-based care (home care, home-based physician visits, and outpatient physician encounters). Within acute-care admissions, all days prior to discharge were counted as a palliative care day (i.e. deemed palliative-acute care) for the entire duration of stay when a decedent had a pre-admitting condition listed as palliative care or the most responsible diagnosis for the hospital stay was also palliative, the main service provider was palliative, or palliative care was consulted for the largest portion of their hospital stay. For all remaining palliative-acute-care encounters, only a single day of the hospitalization was counted as a palliative care day (e.g. individuals initially admitted as acute-care patients but later received a palliative diagnosis at some point during their hospital stay). This approach indirectly captures designated palliative care unit beds in acute hospitals and also palliative care services provided when another admitting service was the main provider service.

Statistical analysis

Descriptive statistics were used to compare cohort characteristics between early versus late palliative care recipients. Characteristics include sex, age, income quintile, rurality, chronic diseases, number of comorbidities, place of death, mean and median time to first palliative care initiation before death, and palliative care initiation sector. Multivariable logistic regression analyses were used to predict in the 2 weeks before death: the likelihood of using an acute-care setting and the likelihood of spending >1 week in acute-care settings. We adjusted for the following covariates in the models: sex, age, income quintile, rurality, and number of comorbidities. Ethics approval for this study was received from the Ottawa Hospital Research Institute Ethics Board in Ottawa, Canada. All analyses were conducted using SAS Enterprise Guide 7.1 (SAS Institute Inc., Cary, NC, USA).

Results

We identified 230,921 decedents during the study period, who spent an average of 5.1 days in acute-care settings (of whom 60% had at least one service day in the last 2 weeks of life). Overall, 33% of decedents died from cancer, 31% from organ failure, 29% from frailty, 3% had a sudden death, and 5% from other causes. Almost half (46%) of decedents never received palliative care, and the remaining decedents were split by early palliative care (27%) and late or very late recipients (27%; Table 1). The majority of early and late recipients died from cancer (67% and 53%, respectively), while a large portion of very late recipients died from organ failure (40%). Notably, more than half of cancer decedents were early recipients (56%). Overall, 61% of the study population experienced a hospital-based death, and more late recipients (73%) died in hospital compared to early recipients (60%) (Table 2).
Table 1.

Cohort characteristics.

CharacteristicEarly
Late
Very Late
Never
Overall
N % N % N % N % N %
Overall 62,7282729,7101331,54914106,93446230,921100
Disease cohort
 Frailty7893125231882021245,4676866,79329
 Organ failure11,1031674801112,5111839,5965670,69031
 Cancer42,2555615,6722184221188411275,19033
 Sudden death16621622344567819174533
 Other13111211651120701962495810,7955
Sex
 Female32,0812714,9401316,7521454,85046118,62351
 Male30,6472714,7701314,7971352,08446112,29849
Age (years)
 18–441493213916347547886870193
 45–6413,057354409123455916,2344437,15516
 65–8432,0413114,6921414,3021443,27641104,31145
 85 +16,1372010,2181213,4451642,6365282,43636
Income [a]
 Lowest13,3622565131273471425,5404852,76223
 Low13,1162763111366691422,0994648,19521
 Middle11,9832758181359621320,7204744,48319
 High12,1412856631359191419,6894543,41219
 Highest11,8582952671354651318,0814440,67118
Ruralitya
 Urban53,9782725,7801327,2211489,97746196,95685
 Rural86892638971242881316,7455033,61915
Chronic diseases
 Hypertension45,1502622,5381325,0511480,61147173,35075
 Osteoarthritis31,5232814,6581315,8721452,08046114,13349
 Cancer47,7864718,5161812,4411223,29623102,03944
 Diabetes21,7352610,3981311,3801438,8714782,38436
 Congestive heart failure18,3052394151212,2731638,8824978,87534
 Coronary heart disease18,4222490881211,1271537,3094975,94633
 Dementia12,1321871591110,0991536,9705666,36029
 COPD15,8662773731390051526,3934558,63725
 Renal disease14,7032773991392451723,9864355,33324
No. of comorbidities
 013121633298548558954472
 1–212,2972953461247221120,7774843,14219
 3–531,0822815,2841415,5791448,66444110,60948
 6+19,2182789171210,9501532,6384671,72331

Does not equal 100%: a very small number of records are missing this information.

Table 2.

Palliative care delivery and place of death.

CharacteristicEarly
Late
Very late
Never
Overall
N = 62,728N = 29,710N = 31,549N = 106,934N = 230,921
Place of palliative care initiation (%)
 Hospital547483N/A35
 Long-term care0.20.30.8N/A0.2
 Community452616N/A18
Initiation time before death (days)
 Mean, median (IQR)210, 201 (116, 307)32, 30 (21, 42)6, 6 (3, 9)N/A114, 59 (13, 200)
Place of death (%)
 Hospital6073835261
 Long-term care1110112819
 Community291762120
Cohort characteristics. Does not equal 100%: a very small number of records are missing this information. Palliative care delivery and place of death.

Palliative care initiations

Early recipients initiated palliative care at a mean time of 210 days prior to death, compared with a mean of 32 days for late recipients (Table 2). Overall, 45% of early recipients initiated in a community-based setting, which was almost two times greater than the proportion of late recipients (26%). Late recipients had considerably more hospital-based initiations (74%) when compared to early recipients (54%). Disease-specific differences show that organ failure and frailty decedents had the most hospital-based initiations (82% and 73%, respectively), while cancer decedents had the most community-based initiations (44%).

Place of care utilization trends (among service users)

About 63% of early recipients used an acute-care setting at least once in the last 2 weeks of life (spent 9.2 mean days), compared to 80% of late recipients (spent 11.7 mean days; Table 3). Early and late recipients had a similar proportion of non-palliative-acute-care users (26% and 23%, respectively), with similar days of service use (6.4 and 6.8 mean days, respectively). Compared to late recipients, fewer early recipients used palliative-acute care (65% vs 42%) and spent less service days (9.6 vs 12 mean days) in the last 2 weeks of life. In addition, early recipients made more use of community-based care, having almost double the percentage of individuals receiving home-based physician visits compared to late recipients (28% vs 17%).
Table 3.

Place of care utilization by palliative care initiation time before death (among users).

Place of carePalliative care initiation time
Early
Late
Never
(N = 62,728)(N = 29,728)(N = 106,934)
Care in hospitals/institutions
 Acute-care settings: mean days (% users)9.2 (62.5)11.7 (79.8)7.3 (44.6)
 Non-palliative-acute care: mean days (% users)6.4 (26.4)6.8 (22.8)7.3 (44.6)
 Palliative-acute care: mean days (% users)9.6 (42.3)12 (65.2)0 (0)
 Emergency department: mean days (% users)1.8 (32.5)1.6 (25.3)1.6 (44.6)
 Subacute care: mean days (% users)11.3 (16.9)9.6 (13.6)12.2 (3.6)
 Long-term care: mean days (% users)13.3 (11.6)12.8 (9.9)14.1 (32)
Care in the community
 Home care: mean days (% users)7.4 (55.4)5.9 (42.5)4.9 (19.2)
 Home-based physician visit: mean days (% users)2.4 (28)2.1 (16.6)1.1 (7.5)
 Outpatient physician encounter: mean days (% users)2.9 (69.9)2.8 (69.5)1.6 (43.5)
Place of care utilization by palliative care initiation time before death (among users).

Multivariable analyses

When examining the odds of using acute-care settings, late recipients from each disease cohort have a higher odds ratio (OR; cancer: OR = 2.31, 95% confidence interval (CI): 2.30–2.32, frailty: OR = 3.05, 95% CI: 3.03–3.07, organ failure: OR = 3.25, 95% CI: 3.23–3.27) compared to early recipients, controlling for covariates (Table 4). Similarly, when examining the odds of spending >1 week in acute-care settings during the last 2 weeks of life, late recipients have a higher OR (cancer: OR = 1.84, 95% CI: 1.83–1.85, frailty: OR = 3.04, 95% CI: 3.01–3.07, and organ failure: OR = 4.04, 95% CI: 4.02–4.06) compared to early recipients. An increasing number of comorbidities was also associated with increased odds of using acute-care settings and increased odds of spending >1 week in acute-care settings—especially for those with frailty.
Table 4.

Multivariate logistic regression: (1) odds of ever using acute-care settings in the last 2 weeks of life, and (2) odds of spending >1 week in acute-care settings in the last 2 weeks of life.

ExposureOdds of ever using acute-care settings in the last 2 weeks of life
Odds of spending >1 week in acute-care settings in the last 2 weeks of life
CancerFrailtyOrgan failureCancerFrailtyOrgan failure
Palliative care initiation time
 EarlyRef.Ref.Ref.Ref.Ref.Ref.
 Late2.31 (2.3, 2.32)3.05 (3.03, 3.07)3.25 (3.23, 3.27)1.84 (1.83, 1.85)3.04 (3.01, 3.07)4.04 (4.02, 4.06)
 Never0.96 (0.95, 0.97)0.52 (0.51, 0.53)0.61 (0.6, 0.62)0.77 (0.75, 0.79)0.41 (0.39, 0.43)0.48 (0.47, 0.49)
Sex
 MaleRef.Ref.Ref.Ref.Ref.Ref.
 Female0.8 (0.79, 0.81)0.66 (0.65, 0.67)0.76 (0.75, 0.77)1.06 (1.05, 1.07)0.87 (0.86, 0.88)0.87 (0.86, 0.88)
Age (years)
 18–441.88 (1.85, 1.91)1.57 (1.51, 1.63)1.41 (1.38, 1.44)1.29 (1.26, 1.32)1.52 (1.43, 1.61)1.06 (1.02, 1.1)
 45–641.4 (1.39, 1.41)1.06 (1.04, 1.08)1.16 (1.15, 1.17)1 (0.99, 1.01)0.88 (0.85, 0.91)1.09 (1.07, 1.11)
 65–84Ref.Ref.Ref.Ref.Ref.Ref.
 85+0.6 (0.59, 0.61)0.61 (0.6, 0.62)0.52 (0.51, 0.53)0.95 (0.94, 0.96)0.84 (0.82, 0.86)0.82 (0.81, 0.83)
Income
 LowestRef.Ref.Ref.Ref.Ref.Ref.
 Low0.96 (0.95, 0.97)1.04 (1.03, 1.05)1.07 (1.06, 1.08)1 (0.98, 1.02)0.97 (0.95, 0.99)0.95 (0.93, 0.97)
 Middle0.9 (0.89, 0.91)0.97 (0.96, 0.98)1 (0.99, 1.01)0.98 (0.96, 1)0.95 (0.93, 0.97)0.93 (0.91, 0.95)
 High0.9 (0.89, 0.91)0.95 (0.94, 0.96)1.05 (1.04, 1.06)0.94 (0.92, 0.96)0.99 (0.97, 1.01)0.96 (0.94, 0.98)
 Highest0.82 (0.81, 0.83)0.94 (0.93, 0.95)1.02 (1.01, 1.03)0.95 (0.93, 0.97)0.92 (0.9, 0.94)0.88 (0.86, 0.9)
Rurality
 UrbanRef.Ref.Ref.Ref.Ref.Ref.
 Rural1.11 (1.1, 1.12)0.99 (0.98, 1)0.95 (0.94, 0.96)1 (0.99, 1.01)0.92 (0.9, 0.94)0.91 (0.89, 0.93)
No. of comorbidities
 0Ref.Ref.Ref.Ref.Ref.Ref.
 13.45 (3.38, 3.52)2.23 (2.18, 2.28)1.76 (1.72, 1.8)1.18 (1.06, 1.3)1.54 (1.44, 1.64)1.13 (1.07, 1.19)
 24.14 (4.07, 4.21)3.07 (3.02, 3.12)2.44 (2.41, 2.47)1.37 (1.25, 1.49)1.58 (1.49, 1.67)1.18 (1.13, 1.23)
 34.77 (4.7, 4.84)4.48 (4.44, 4.52)2.97 (2.94, 3)1.45 (1.33, 1.57)1.85 (1.76, 1.94)1.39 (1.34, 1.44)
 45.01 (4.94, 5.08)5.86 (5.82, 5.9)3.51 (3.48, 3.54)1.66 (1.54, 1.78)1.99 (1.9, 2.08)1.58 (1.53, 1.63)
 55.52 (5.45, 5.59)7.76 (7.72, 7.8)4.36 (4.33, 4.39)1.57 (1.45, 1.69)2.23 (2.14, 2.32)1.67 (1.62, 1.72)
 66.38 (6.31, 6.45)12.03 (11.99, 12.07)5.51 (5.48, 5.54)1.74 (1.62, 1.86)2.53 (2.44, 2.62)1.9 (1.85, 1.95)
Ref: Never Used Acute-Care Settings Ref: Spent <1 Week in Acute-Care Settings
Multivariate logistic regression: (1) odds of ever using acute-care settings in the last 2 weeks of life, and (2) odds of spending >1 week in acute-care settings in the last 2 weeks of life.

Place of care utilization trajectories

We examined the percentage of patients using hospital-based care on each day within the last 2 weeks of life by disease cohort and by early versus late initiation times (Figure 1). Late palliative care recipients used a consistently high proportion of acute-care services (palliative + nonpalliative) across the entire duration of the last 2 weeks of life (consistently over 50%). Although early recipients experienced notable increases in acute-care service use as death got closer, the proportion was always well below that of late recipients. These differing trends of acute-care service utilization in early versus late recipients were consistent across all three disease cohorts. Palliative-acute-care accounted for most of the acute-care service use for both early and late recipients.
Figure 1.

Disease-specific utilization trends of hospital-based care by palliative care initiation time.

Disease-specific utilization trends of hospital-based care by palliative care initiation time.

Discussion

To our knowledge, this is the first study of its kind that uses population-based data from a universal healthcare system to study the association between early versus late palliative care and a rich set of services used at the end-of-life by both cancer and non-cancer patients. Our study findings show that early palliative care (as opposed to late palliative care) was associated with improved outcomes near the end of life. In the 2 weeks before death, early recipients had lower odds of using acute care and lower odds of spending >1 week in acute care compared to late recipients. Moreover, we found that early recipients made greater use of community-based services. Many early initiations occurred in a community-based setting, while late initiations occurred mainly in hospital. Early recipients had twice as many community-based deaths and 13% less hospital-based deaths; early recipients were largely receiving out-of-hospital care, such as within the home, while most late recipients remained hospitalized throughout the last 2 weeks of life. Reducing end-of-life acute-care service use is an indicator of higher quality of care[35] while lowering healthcare costs.[36] Past research has also shown that early palliative care (defined variably, ranging from 1 to 6 months before death) is associated with reduced end-of-life acute-care service use. Seow and colleagues previously conducted a population-based analysis of Ontario decedents, showing that early home-based palliative care reduced the risk of needing acute care in the last 2 weeks of life.[19] Several US cancer studies also highlight the benefits of early palliative care which include less aggressiveness at the end of life,[13] fewer hospital admissions, and reduced hospital-based deaths.[37,38] Similarly in Western Australia, earlier community-based palliative care was found to reduce acute-hospital stays,[22] emergency department use,[18] and unplanned hospitalizations.[23] Moreover, a Singapore study found that earlier referrals to hospital-based palliative care was associated with a higher likelihood of dying out of hospital.[39] Several European studies also reach similar conclusions.[15,40] Frailty and organ failure decedents received a late initiation of palliative care more often than cancer decedents, which was also associated with poorer outcomes in the last 2 weeks of life. We found that frailty and organ failure decedents were three times and four times more likely, respectively, to spend a greater duration of time in acute-care hospitals (compared to their early counterparts). A late initiation similarly influenced cancer decedents, but the association was not as pronounced. Several factors may explain these findings. First, non-cancer patients tend to receive lower quality end-of-life care than cancer patients.[41] Also, the setting of end-of-life care—which is known to be a key driver of disease-specific disparities[41]—may play a role; our data show that late palliative care provided to organ failure and frailty decedents was initiated mostly in hospital, which may not necessarily be the most appropriate care setting. Non-cancer populations also experience greater incongruence between their care preferences and what happens in reality. Differences in trajectory of functional decline and its predictability may also explain our findings; for instance, patients with organ failure experience an end-of-life trajectory marked by acute exacerbations, warranting a greater need for acute-care services.[28,42] Therefore, earlier identification and increased understanding of patient needs may help improve palliative care provision; accomplishing this requires extensive knowledge of the trajectories of functional decline, existing comorbidities, and the social and environmental circumstances under which care is provided.

Strengths and limitations

Past studies examine recipients of hospital-based palliative care or community-based services, but not both together. A major strength of this study is the inclusion of a population-based sample from Ontario, Canada, where patients rely on a universal health system in which they are provided with concurrent access to hospital and community palliative care services without needing to forego curative treatment. Unlike the United States, where patients are required to forego curative care to be eligible for the Medicare Hospice Benefit at the end of life, we are able to observe palliative care provision in the entire population. Thus, our data are largely generalizable to other high-income countries with similar publicly funded healthcare (i.e. United Kingdom and Australia). Another strength of our study is that we include cancer and non-cancer decedents and a large set of health sectors to observe various services used at the end of life. We also capture officially and unofficially designated palliative beds in acute-care hospitals, allowing us to distinguish palliative- from non-palliative-acute-care use; this information lets us gauge which end-of-life hospitalizations were appropriate or inappropriate and serves as a useful comparator for other countries whose systems may or may not allow for such distinctions to be made. Our study has several limitations. First, our study does not address the quality of care being delivered, nor do we describe the intensity of palliative care services provided in acute hospitals. Second, residential (i.e. free-standing) hospice facilities were not included as a place of care setting due to the lack of a central hospice database. About 1%–3% of individuals die in hospice annually, though most who do so use services such as home care or palliative-acute care—which is included in our study—before being admitted to a hospice. Moreover, our study only includes home care services that are publicly funded. In addition, relying mainly on physician billing codes might undercount palliative care provision in long-term care (where a large portion of frailty patients reside) as many individuals receive palliative care services from nurses or personal support workers in this setting, which are not billed under publicly funded home care—the latter of which we did capture. Our findings may also be susceptible to indication bias; patients initiating late palliative care are often close to death with more unstable conditions and thus more likely to receive care in acute settings at the end of life. Early palliative care recipients may also have distinct underlying characteristics than late recipients, such as differences in care preferences and disease symptoms (which we could not measure). Moreover, several important factors may play a role in explaining our finding of more aggressive end-of-life care among organ failure and frailty patients. These factors include lack of access to early palliative care[43] and challenges in early identification for a palliative care approach among non-cancer patients.[44,45] Healthcare providers also seem to experience difficulty in determining the end-of-life stage for non-cancer patients[46] and feel ill-prepared in making end-of-life prognostications due to perceived unpredictability of the disease course.[47,48] For example, it may be challenging to know when to initiate palliative care for patients with heart failure, who get hospitalized for exacerbations, but later discharged having regained some of their prior physical function.

Conclusion

In conclusion, this study demonstrates that early palliative care is associated with reduced acute-hospital use (with or without palliative involvement) in the last 2 weeks of life. Clear disparities exist in palliative care timing, with organ failure and frailty decedents receiving late palliative care more often than early. These findings suggest that non-cancer populations might reap greater benefits if identified earlier for palliative care, which may also help reduce costly end-of-life acute-care service use. Future research should examine effective interventions that would allow for earlier identification of patients (including cancer and non-cancer) who may benefit from timely palliative care. Differences in the underlying characteristics of early and late palliative care recipients should also be further investigated.
  46 in total

1.  The Effect of Community-Based Specialist Palliative Care Teams on Place of Care.

Authors:  Hsien Seow; Gagan Dhaliwal; Konrad Fassbender; Jagadish Rangrej; Kevin Brazil; Robin Fainsinger
Journal:  J Palliat Med       Date:  2015-10-21       Impact factor: 2.947

2.  Earlier Initiation of Community-Based Palliative Care Is Associated With Fewer Unplanned Hospitalizations and Emergency Department Presentations in the Final Months of Life: A Population-Based Study Among Cancer Decedents.

Authors:  Cameron M Wright; David Youens; Rachael E Moorin
Journal:  J Pain Symptom Manage       Date:  2017-12-09       Impact factor: 3.612

3.  Early palliative care for patients with metastatic non-small-cell lung cancer.

Authors:  Jennifer S Temel; Joseph A Greer; Alona Muzikansky; Emily R Gallagher; Sonal Admane; Vicki A Jackson; Constance M Dahlin; Craig D Blinderman; Juliet Jacobsen; William F Pirl; J Andrew Billings; Thomas J Lynch
Journal:  N Engl J Med       Date:  2010-08-19       Impact factor: 91.245

4.  Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study.

Authors:  N A Christakis; E B Lamont
Journal:  BMJ       Date:  2000-02-19

5.  End-of-life discussions, goal attainment, and distress at the end of life: predictors and outcomes of receipt of care consistent with preferences.

Authors:  Jennifer W Mack; Jane C Weeks; Alexi A Wright; Susan D Block; Holly G Prigerson
Journal:  J Clin Oncol       Date:  2010-02-01       Impact factor: 44.544

6.  Attitude and self-reported practice regarding prognostication in a national sample of internists.

Authors:  N A Christakis; T J Iwashyna
Journal:  Arch Intern Med       Date:  1998-11-23

7.  Impact of timing and setting of palliative care referral on quality of end-of-life care in cancer patients.

Authors:  David Hui; Sun Hyun Kim; Joyce Roquemore; Rony Dev; Gary Chisholm; Eduardo Bruera
Journal:  Cancer       Date:  2014-06-01       Impact factor: 6.860

8.  Association between referral-to-death interval and location of death of patients referred to a hospital-based specialist palliative care service.

Authors:  Jissy Vijo Poulose; Young Kyung Do; Patricia Soek Hui Neo
Journal:  J Pain Symptom Manage       Date:  2012-11-21       Impact factor: 3.612

9.  Do community hospice programmes reduce hospitalisation rate in patients with advanced chronic obstructive pulmonary disease?

Authors:  S P M Iupati; B R Ensor
Journal:  Intern Med J       Date:  2016-03       Impact factor: 2.048

10.  Impact of community based, specialist palliative care teams on hospitalisations and emergency department visits late in life and hospital deaths: a pooled analysis.

Authors:  Hsien Seow; Kevin Brazil; Jonathan Sussman; José Pereira; Denise Marshall; Peter C Austin; Amna Husain; Jagadish Rangrej; Lisa Barbera
Journal:  BMJ       Date:  2014-06-06
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  17 in total

1.  Primary palliative care. Caring for patients with life-limiting illness in the community.

Authors:  Sylvia McCarthy
Journal:  Malays Fam Physician       Date:  2021-11-28

2.  When does early palliative care influence aggressive care at the end of life?

Authors:  Mellar P Davis; Erin A Vanenkevort; Alexander Elder; Amanda Young; Irina D Correa Ordonez; Mark J Wojtowicz; Halle Ellison; Carlos Fernandez; Zankhana Mehta; Bertrand Behm; Glen Digwood; Rajiv Panikkar
Journal:  Support Care Cancer       Date:  2022-03-15       Impact factor: 3.603

3.  Race/Ethnicity and County-Level Social Vulnerability Impact Hospice Utilization Among Patients Undergoing Cancer Surgery.

Authors:  Alizeh Abbas; J Madison Hyer; Timothy M Pawlik
Journal:  Ann Surg Oncol       Date:  2020-10-14       Impact factor: 5.344

4.  Inpatient Palliative Care Use in Patients With Pulmonary Arterial Hypertension: Temporal Trends, Predictors, and Outcomes.

Authors:  Vidhu Anand; Saraschandra Vallabhajosyula; Wisit Cheungpasitporn; Robert P Frantz; Hector R Cajigas; Jacob J Strand; Hilary M DuBrock
Journal:  Chest       Date:  2020-08-12       Impact factor: 9.410

5.  An Exploratory Qualitative Study of Computer Screening to Support Decision-Making about Use of Palliative Care Registers in Primary Care: GP Think Aloud and Patient and Carer Interviews.

Authors:  Gill Hubbard; Kirsten Broadfoot; Clare Carolan; Hugo C van Woerden
Journal:  J Prim Care Community Health       Date:  2021 Jan-Dec

6.  Symptoms, problems and quality of life in patients newly diagnosed with oesophageal and gastric cancer - a comparative study of treatment strategy.

Authors:  Karin Dalhammar; Jimmie Kristensson; Dan Falkenback; Birgit H Rasmussen; Marlene Malmström
Journal:  BMC Cancer       Date:  2022-04-21       Impact factor: 4.638

7.  Association between palliative care and healthcare outcomes among adults with terminal non-cancer illness: population based matched cohort study.

Authors:  Kieran L Quinn; Therese Stukel; Nathan M Stall; Anjie Huang; Sarina Isenberg; Peter Tanuseputro; Russell Goldman; Peter Cram; Dio Kavalieratos; Allan S Detsky; Chaim M Bell
Journal:  BMJ       Date:  2020-07-06

8.  Predicting death in home care users: derivation and validation of the Risk Evaluation for Support: Predictions for Elder-Life in the Community Tool (RESPECT).

Authors:  Amy T Hsu; Douglas G Manuel; Sarah Spruin; Carol Bennett; Monica Taljaard; Sarah Beach; Yulric Sequeira; Robert Talarico; Mathieu Chalifoux; Daniel Kobewka; Andrew P Costa; Susan E Bronskill; Peter Tanuseputro
Journal:  CMAJ       Date:  2021-07-05       Impact factor: 8.262

9.  Emergency Department Referral for Hospice and Palliative Care Differs among Patients with Different End-of-Life Trajectories: A Retrospective Cohort Study.

Authors:  Victor Wei-Che Shen; Che Yang; Li-Ling Lai; Ying-Ju Chen; Hsien-Hao Huang; Shih-Hung Tsai; Teh-Fu Hsu; David Hung-Tsang Yen
Journal:  Int J Environ Res Public Health       Date:  2021-06-10       Impact factor: 3.390

10.  Inappropriate end-of-life cancer care in a generalist and specialist palliative care model: a nationwide retrospective population-based observational study.

Authors:  Manon S Boddaert; Chantal Pereira; Jeroen Adema; Kris C P Vissers; Yvette M van der Linden; Natasja J H Raijmakers; Heidi P Fransen
Journal:  BMJ Support Palliat Care       Date:  2020-12-22       Impact factor: 4.633

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