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Erschienen in: BMC Palliative Care 1/2020

Open Access 01.12.2020 | Research article

Severe pain at the end of life: a population-level observational study

verfasst von: A. Meaghen Hagarty, Shirley H. Bush, Robert Talarico, Julie Lapenskie, Peter Tanuseputro

Erschienen in: BMC Palliative Care | Ausgabe 1/2020

Abstract

Background

Pain is a prevalent symptom at the end of life and negatively impacts quality of life. Despite this, little population level data exist that describe pain frequency and associated factors at the end of life. The purpose of this study was to explore the prevalence of clinically significant pain at the end of life and identify predictors of increased pain.

Methods

Retrospective population-level cohort study of all decedents in Ontario, Canada, from April 1, 2011 to March 31, 2015 who received a home care assessment in the last 30 days of life (n = 20,349). Severe daily pain in the last 30 days of life using linked Ontario health administrative databases. Severe pain is defined using a validated pain scale combining pain frequency and intensity: daily pain of severe intensity.

Results

Severe daily pain was reported in 17.2% of 20,349 decedents. Increased risk of severe daily pain was observed in decedents who were female, younger and functionally impaired. Those who were cognitively impaired had a lower risk of reporting pain. Disease trajectory impacted pain; those who died of a terminal illness (i.e. cancer) were more likely to experience pain than those with frailty (odds ratio 1.66).

Conclusion

Pain is a common fear of those contemplating end of life, but severe pain is reported in less than 1 in 5 of our population in the last month of life. Certain subpopulations may be more likely to report severe pain at the end of life and may benefit from earlier palliative care referral and intervention.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12904-020-00569-2.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CHF
Congestive heart failure
COPD
Chronic obstructive pulmonary disease
RAI-HC
Resident assessment instrument – home care
ADLs
Activities of daily living
IADLs
Instrumental activities of daily living
RPDB
Registered Persons Database
ORGD
Ontario Registrar General Database
ICD-10
International classification of diseases
OHIP
Ontario health insurance plan
CPS
Cognitive performance scale
OR
Odds ratio
CI
Confidence interval

Background

Uncontrolled pain is consistently listed by patients as a primary source of fear for end-of-life care [13]. Palliative care aims to provide relief of pain and other physical symptoms in addition to supportive care for patients and their families at the end of life [4, 5]. Pain is often considered one of the more treatable symptoms in palliative care [6] and a request for assistance with pain management is a common reason for referral to palliative care physician specialists and palliative care teams. Uncontrolled pain is a common reason for palliative patients to present to acute care. Nearly one in ten emergency department visits from oncology patients in the last months of life cited pain as reason for visit [7]. Additionally, nearly 20% of patients who die in hospital experience some degree of pain [8]. Identification of those patients at risk for increased pain near the end of life is important for prompt initiation of a palliative approach and consideration of specialist palliative care referral [6, 9] as there is evidence that pain may be mitigated by palliative care intervention and home visits [10].
The bulk of the current data on the prevalence of pain is limited to specific populations. A systematic review examining studies between 1965 and 2006 demonstrated the pooled prevalence of pain in patients with advanced cancer was 64% [11]. Additionally, increased pain has been reported in advanced cancer patients with mental health illnesses, including depression and anxiety [1214]. Estimates of the prevalence of pain in various late stage non-malignant populations [i.e., congestive heart failure (CHF), end-stage renal disease, chronic obstructive pulmonary disease (COPD)] range from 47 to 93% [1517]. Studies of pain in persons with dementia have consistently demonstrated lower rates of reported pain [18, 19]. These studies, however, do not provide a sense of the prevalence of pain across the general population at end of life nor between disease trajectories (frailty, terminal illness, organ failure, sudden death). This is important as current evidence demonstrates disparities between disease trajectory and access to palliative care services [20]. An American retrospective observational study (N = 4703) demonstrated clinically significant pain in 47% of the population in the last month of life (as reported using non-validated 2 question measurement: participant “often troubled by moderate to severe pain”) [21]. The authors found pain was associated with proximity to death, arthritis and certain demographic factors such as sex, age, race and income. To our knowledge, no studies to date have captured in detail how pain varies across end-of-life trajectories, a wide variety of comorbid chronic diseases, home-based palliative care services, living arrangement (e.g., presence of a family caregiver) and other important patient characteristics such as impairment in function and cognition.
Our goal was to explore pain at the end of life across a wide variety of patient characteristics at a population level. To address the deficit in knowledge, we used multiple health linked databases providing access to detailed covariates in order to observe the frequency and severity of pain in the last month of life. We aimed to identify predictive or protective factors for pain at the end of life as well as potential risk factors that could be targeted for screening and prompt initiation of pain management strategies and palliative care referral.

Methods

We conducted a population-based retrospective observational study using linked health administrative databases held at ICES. Our population included all decedents in Ontario, Canada from April 1, 2011 to March 31, 2015 (most recent, complete data available at time of analysis) who received a Resident Assessment Instrument–Home Care (RAI-HC) [22] assessment in the last 30 days of life. The RAI-HC database contains RAI-HC assessments which are conducted for all Ontarians seeking to receive long-stay home care (i.e., anticipated greater than 60 days). These assessments are conducted by trained assessors with input from the clinic team, the patient’s chart, the patient, and caregivers. Demographics, symptomatology, and detailed covariates were collected from each assessment. These covariates include: cognitive functioning, caregiver and living arrangements, activities of daily living (ADLs) on a 0–6 point performance scale (describing the discrete stages of loss in personal hygiene, toileting, locomotion and eating), instrumental activities of daily living (IADLs) (ordinary housework, meal preparation and phone use) [23]. Ethics approval was obtained from the Sunnybrook Health Sciences Centre Research Ethics Board in Toronto, Canada and from the Ottawa Health Science Network Research Ethics Board in Ottawa, Canada.

Data sources

Encrypted health card numbers were used as unique identifiers and linked across several administrative databases held at ICES (Additional file 1). All data were de-identified and anonymized. Deaths and demographics including age and sex were captured from the Registered Persons Database (RPDB). Postal codes of residence were used to derive neighborhood income and rurality at the time of death through the Postal Code Conversion Files which are derived from the Statistics Canada 2011 census. The presence of chronic conditions at death was captured using previously developed—and in some cases validated— chronic disease databases held at ICES [24]. A total of 17 chronic diseases were examined and the number of diseases identified was totaled for each individual [2531]. End-of-life trajectories (i.e., frailty, terminal illness, sudden death, organ failure, other) were captured using cause of death information from the Ontario Registrar General Database (ORGD) – deaths. The International Classification of Diseases (ICD-10) codes used to group deaths into these four categories, including validation in the Canadian population, are described elsewhere [20, 3234].
Designated palliative homecare (e.g., from nurses, nurse practitioners, and personal support workers) and physician home visits were captured between 30 days to 6 months prior to death. Palliative home care was captured when a patient was given an end-of-life designation by home care services, which allows them to access additional and often specialized palliative care services. Physician home visits were identified using physician billing claims for services delivered at home, captured in the Ontario Health Insurance Plan (OHIP) database (Additional file 2). The subset of home visits delivered by palliative care physician specialists were identified using a validated definition of greater than 10% of all billings in the previous 2 years classified as palliative care [35]. Palliative home visits and services delivered by non-physician specialties (e.g. nurse practitioners, spiritual care, personal support workers, social workers, etc.) that occurred outside of designated publicly-funded palliative home care (i.e. out-pf-pocket expenses or private insurance) is not captured in available health administrative databases and were therefore not included in our analyses.

Pain at end of life

Reported pain was captured using the RAI-HC database. Data was captured from those who received a RAI-HC assessment in the last month of life, the period associated with the highest pain scores [21]. A validated pain scale that combines pain intensity and frequency from the RAI-HC was applied to generate a four-point pain scale from no pain to severe pain occurring daily [36]. In this scale, severe daily pain was equivalent to an average of 5/10 on a visual analog scale. As pain beyond 4/10 has been shown to be associated with decreased functional status and quality of life [37, 38], we elected to compare decedents with severe daily pain to those without severe daily pain.

Analysis

A logistic regression model was run for the primary outcome of severe daily pain in the last 30 days of life. Decedents with severe daily pain were compared to those without severe daily pain. Covariates of interest included demographics, comorbidities, functional status, and physician home visits in the 6 months to 1 month prior to death. Additionally, we examined the effect of a palliative care specialist being involved in at least one of the visits. The multivariable model examined the independent effect of potential predictors of pain that are available in health administrative databases: age, sex, neighborhood income quintile, rurality, functional status (i.e. ADLs and IADLs), Cognitive Performance Scale (CPS) [39] score, number of comorbidities, and end-of-life trajectories. All analyses were conducted using SAS 9.3 (SAS Institute Inc., Cary, NC).

Results

In Ontario, between April 1, 2011 to March 31, 2015, there were 370,524 deaths. We captured data from 20,349 decedents who received a RAI-HC assessment in the last month of life (5.5% of total decedent population). The average age of our cohort was 81.4 years. The majority were female (51.6%) and lived in an urban setting. 42.8% had 5 or more chronic conditions. Less than 1 in 5 people (17.2%) reported severe daily pain using the validated pain scale (Table 1), with 30.3% of decedents reporting no pain. The majority (73.8%) felt they had adequate pain control at baseline or with medications, however 42.4% described pain that disrupted usual activities.
Table 1
Reported pain in decedents with a RAI-HCa assessment in the last 30 days of life
 
N
COL%
Pain Frequency
 No pain
6181
30.28
 Less than daily
2036
9.97
 Daily-one period
1262
6.18
 Daily-multiple periods (e.g. morning and evening)
10,936
53.57
Pain Intensity
 No pain
6188
30.31
 Mild
3211
15.73
 Moderate
7419
36.34
 Severe or excruciating
2776
13.6
 Times when pain is horrible
821
4.02
Pain disrupts usual activities
 No
11,764
57.62
 Yes
8651
42.38
Pain - Adequate Medication
 Yes/No pain
15,072
73.83
 Medications do not adequately control pain
3407
16.69
 Pain present, medication not taken
1936
9.48
Pain Scale
 No pain
6184
30.29
 Less than daily pain
2036
9.97
 Daily pain but not severe
8680
42.52
 Severe daily pain
3515
17.22
aResident Assessment Instrument–Home Care

Factors associated with severe daily pain

Demographics

The proportion of severe daily pain was higher in those who died at a younger age (Fig. 1a).
Among female decedents, 18.4% reported severe daily pain compared to 15.9% of male decedents (Fig. 1b; Table 2). Younger decedents had a higher risk severe daily pain; 34.0% of 0–49-year-olds compared to only 13.3% of those aged 90+. Rurality and income were not found to significantly impact risk of severe daily pain. Those with 5+ chronic conditions reported more severe daily pain (17.8%) than those with 0–2 or 3–4 (17.5 and 16.3% respectively).
Table 2
Cohort characteristics by pain severity in the last 30 days of life
 
No severe daily pain
(%)
Severe daily pain
(%)
All
N
N
N
Age
 0–49
161
66.0%
83
34.0%
244
 50–59
559
70.4%
235
29.6%
794
 60–69
1452
75.4%
474
24.6%
1926
 70–79
3285
81.0%
773
19.0%
4058
 80–89
7181
84.7%
1297
15.3%
8478
 90+
4206
86.7%
643
13.3%
4849
Sex
 Male
8281
84.1%
1569
15.9%
9850
 Female
8563
81.6%
1936
18.4%
10,499
Income Quintile
 Highest
2990
83.8%
576
16.2%
3566
 High
3141
82.4%
673
17.6%
3814
 Middle
3307
82.6%
695
17.4%
4002
 Low
3679
83.2%
744
16.8%
4423
 Lowest
3727
82.0%
817
18.0%
4544
Rurality
 Urban
13,807
82.9%
2850
17.1%
16,657
 Rural
3037
82.3%
655
17.7%
3692
Palliative Home Care
 No
13,205
84.1%
2488
15.9%
15,693
 Yes
3639
78.2%
1017
21.8%
4656
Physician Home Visit
 No
14,711
83.0%
3008
17.0%
17,719
 Yes - Non-PCa specialist
1817
81.8%
405
18.2%
2222
 Yes - PC specialist
372
78.5%
102
21.5%
474
Number of Chronic Conditions
 0–2
3744
82.5%
795
17.5%
4539
 3–4
5938
83.7%
1157
16.3%
7095
 5+
7162
82.2%
1553
17.8%
8715
Cancer (any)
 No
11,968
83.6%
2341
16.4%
14,309
 Yes
4876
80.7%
1164
19.3%
6040
Dementia
 No
13,355
81.2%
3092
18.8%
16,447
 Yes
3489
89.4%
413
10.6%
3902
Diabetes Mellitus
 No
10,571
83.1%
2145
16.9%
12,716
 Yes
6273
82.2%
1360
17.8%
7633
Mental Health (other)
 No
15,816
82.9%
3268
17.1%
19,084
 Yes
1028
81.3%
237
18.7%
1265
Mood and Anxiety Disorders
 No
14,460
83.2%
2926
16.8%
17,386
 Yes
2384
80.5%
579
19.5%
2963
Osteo-arthritis
 No
7842
85.0%
1384
15.0%
9226
 Yes
9002
80.9%
2121
19.1%
11,123
Renal Failure
 No
13,855
83.3%
2787
16.7%
16,642
 Yes
2989
80.6%
718
19.4%
3707
Rheumatoid Arthritis
 No
16,066
83.1%
3261
16.9%
19,327
 Yes
778
76.1%
244
23.9%
1022
Stroke
 No
14,962
82.6%
3146
17.4%
18,108
 Yes
1882
84.0%
359
16.0%
2241
aPalliative Care
Reported severe daily pain varied with living arrangements (Table 3): decedents who lived in a private community home with or without homecare reported higher severe daily pain (17.5, 18.2%) than those who lived in an assisted living or residential care facility (15.9, 14.5%). Those who lived with relatives were more likely to report severe daily pain (with spouse:18.4%, with spouse and others:19.0%, with child:18.7%) compared to those who lived alone (17.1%) or with non-relatives (15.3%). Decedents with reported caregiver stress had increased pain compared to those with no caregiver stress (18.3% vs. 16.4%).
Table 3
Cohort characteristics by pain severity in the last 30 days of life
 
No severe daily pain
(%)
Severe daily pain
(%)
All
N
N
N
ADLSa
 Independent
3180
83.2%
641
16.8%
3821
 Supervision required
1475
82.4%
316
17.6%
1791
 Limited impairment
3113
83.1%
633
16.9%
3746
 Extensive assistance required (I)
1900
83.2%
383
16.8%
2283
 Extensive assistance required (II)
3017
83.4%
602
16.6%
3619
 Dependent
2760
80.5%
667
19.5%
3427
 Total dependence
1399
84.2%
263
15.8%
1662
IADLsb
 No difficulty in any of three IADLs
97
93.3%
7
6.7%
104
 Some difficulty in one IADL but no difficulty in the other two
158
88.3%
21
11.7%
179
 Some difficulty in two IADLs but no difficulty in the other one
474
85.3%
82
14.7%
556
 Some difficulty in all three IADLs
94
89.5%
11
10.5%
105
 Great difficulty in one IADL but less than great difficulty in the other two
1240
82.0%
273
18.0%
1513
 Great difficulty in two IADLs but less than great difficulty in the other one
7373
79.9%
1856
20.1%
9229
 Great difficulty in all three IADLs
7408
85.5%
1255
14.5%
8663
Cognitive Performance Scale (CPS)
 Intact
3230
79.7%
824
20.3%
4054
 Borderline intact
2260
79.2%
595
20.8%
2855
 Mild impairment
5853
82.1%
1275
17.9%
7128
 Moderate impairment
2395
86.3%
381
13.7%
2776
 Moderate/severe impairment
722
88.4%
95
11.6%
817
 Severe impairment
1352
88.1%
183
11.9%
1535
 Very severe impairment
1032
87.2%
152
12.8%
1184
Caregiver Stress
 Yes
7383
81.7%
1652
18.3%
9035
 No
9461
83.6%
1853
16.4%
11,314
Where Lived at Time of Referral
 Missing
8659
83.2%
1747
16.8%
10,406
 Private home/apt. With no home care services
5184
81.8%
1156
18.2%
6340
 Private home/apt. With home care services
1803
82.5%
383
17.5%
2186
 Board and care/assisted living/group home
768
84.1%
145
15.9%
913
 Residential care facility
241
85.5%
41
14.5%
282
 Other
189
85.1%
33
14.9%
222
Who Lived with at Time of Referral
 Missing
8659
83.2%
1747
16.8%
10,406
 Lived alone
2300
82.9%
476
17.1%
2776
 Lived with spouse only
2798
81.6%
633
18.4%
3431
 Lived with spouse and other(s)
666
81.0%
156
19.0%
822
 Lived with child (not spouse)
1105
81.3%
254.0
18.7%
1359
 Lived with other(s) (not spouse or children)
572
84.5%
105
15.5%
677
 Lived in group setting with non-relative(s)
744
84.7%
134
15.3%
878
Disease Trajectoryc
 Frailty
3317
87.3%
481
12.7%
3798
 Organ Failure
7596
85.0%
1344
15.0%
8940
 Sudden Death
671
83.4%
134
16.6%
805
 Undetermined
323
83.0%
66
17.0%
389
 Other
531
79.5%
137
20.5%
668
 Terminal Illness
4406
76.6%
1343
23.4%
5749
aActivities of Daily Living
Extensive assistance—Client performed part of activity on own (50% or more of subtasks), but help of following type(s) were provided 3 or more times:
(I) Weight-bearing support—OR—
(II) Full performance by another during part (but not all) of last 3 days
Dependent—Client involved and completed less than 50% of subtasks on own (includes 2+ person assist), received weight bearing help
Total dependence—Full performance of activity by another
bInstrumental Activities of Daily Living
cDisease trajectories - frailty (e.g., dementia), organ failure (e.g., congestive heart failure), terminal illness (e.g., cancer)

Functional status

In examining ADLs (Table 3), reported severe daily pain was highest in those who were dependent (19.5%) and lowest in those who were totally dependent (15.8%). Similarly, pain severity generally trended up with increasing impairment in IADLs to a maximum of great difficulty in 2 out of 3 IADLs as collected on the RAI-HC (20.1%). Those decedents with great difficulty carrying out all three IADLs reported lower than average severe daily pain (14.7%).

Clinical factors

Reported severe daily pain decreased with worsening cognitive impairment, with 20.3% of cognitively intact persons reporting severe daily pain compared to 12.8% with very severe cognitive impairment. Pain scores varied with end-of-life trajectory. Those with frailty (e.g., dementia), organ failure (e.g., COPD or CHF) and sudden death had a lower proportion reporting severe daily pain than those with terminal illness (e.g., cancer) (Table 3). The following chronic conditions were associated with increased risk of severe daily pain (Table 2): rheumatoid arthritis (23.9%), mood and anxiety disorders (19.5%), renal failure (19.4%), cancer (19.3%), osteoarthritis (19.1%) and other mental health illness (18.7). Many cardiac conditions (acute myocardial infarction, congestive heart failure, hypertension) as well as chronic neurological conditions [history of stroke (16.0%) and dementia (10.6%)] were associated with lower than average reports of severe daily pain.
Physical symptoms as reported on the RAI-HC associated with higher severe daily pain include dyspnea (19.2%), anorexia (22.2%), emesis (29.5%), constipation (31.4%) and edema (20.2%) (Table 4). Increasing severity of pressure ulcers were also associated with higher rates of pain. Additionally, psychological symptoms such as loneliness and sad mood were associated with increased reports of severe daily pain.
Table 4
Symptomology self-reported in RAI-HCa by pain severity in the last 30 days of life
 
Severe Daily Pain
All
No
Yes
N
%
N
%
N
Shortness of Breath
 No
9029
84.6
1643
15.4
10,672
 Yes
7815
80.8
1862
19.2
9677
Loss of Appetite
 No
11,202
86.0
1825
14.0
13,027
 Yes
5642
77.1
1680
22.9
7322
Vomiting
 No
16,126
83.5
3197
16.5
19,323
 Yes
718
70.5
301
29.5
1019
Constipation
 No
16,271
83.4
3243
16.6
19,514
 Yes
573
68.6
262
31.4
835
Delusions
 No
16,359
82.8
3400
17.2
19,759
 Yes
485
82.2
105
17.8
590
Hallucinations
 No
15,925
82.9
3282
17.1
19,207
 Yes
919
80.5
223
19.5
1142
Sad Moodb
 0
12,052
85.9
1981
14.1
14,033
 1
2692
79.6
691
20.4
3383
 2
2100
71.6
833
28.4
2933
Pressure Ulcerc
 0
13,824
83.6
2718
16.4
16,542
 1
1595
81.7
357
18.3
1952
 2
1066
79.1
282
20.9
1348
 3
254
73.8
90
26.2
344
 4
105
64.4
58
35.6
163
Edema
 No
10,689
84.6
1943
15.4
12,632
 Yes
6155
79.8
1562
20.2
7717
Loneliness
 Unknown
4879
85.2
845
14.8
5724
 No
10,826
82.5
2303
17.5
13,129
 Yes
1139
76.1
357
23.9
1496
Client Felt/Was Advised to Reduce Drinking
 No
16,573
82.8
3446
17.2
20,019
 Yes
271
82.1
59
17.9
330
Compliance/Adherence With Medications
 Always Compliant
14,905
83.0
3059
17.0
17,964
 Compliant > 80%
1427
79.7
364
20.3
1791
 Compliant < 80%
355
82.9
73
17.1
428
 No Medications
157
94.6
9
5.4
166
Time Since Last Hospital Stay
 Missing
8659
83.2
1747
16.8
10,406
 In hospital
2923
85.2
509
14.8
3432
  > 180 days
1626
80.1
404
19.9
2030
 Within last week
1045
81.8
232
18.2
1277
 Within 8–14 days
920
84.7
166
15.3
1086
 Within 15–30 days
827
82.1
180
17.9
1007
 More than 30 days
844
76.0
267
24.0
1111
aResident Assessment Instrument–Home Care
bSad Mood- 0. Indicator not exhibited in last 3 days, 1. Exhibited 1–2 of last 3 days 2. Exhibited on each of last 3 days
cPresence of an ulcer anywhere on the body. Ulcers include any area of persistent skin redness (Stage 1); partial loss of skin layers (Stage 2); deep craters in the skin (Stage 3); breaks in skin exposing muscle or bone (Stage 4). [Code 0 if no ulcer, otherwise record the highest ulcer stage (Stage 1–4)

System factors

A minority of decedents received designated palliative home care or a physician home visit between 30 days to 6 months prior to death, at 22.9 and 13.2% respectively. Decedents who received designated palliative home care had higher severe daily pain in the last 30 days of life than those without (21.8% vs 15.9%). A trend was also demonstrated toward increased pain in those who received a physician home visit. Pain trended upward with time since self-reported admission to hospital with 14.8% of those in hospital versus 19.9% in those who had not reported a hospitalization in the previous 180 days.

Logistic regression models for odds of severe daily pain

Adjusting for multiple covariates as listed in our methods, females had greater odds of having severe daily pain [OR = 1.25; 95% Confidence Interval (CI): 1.16 to 1.35] (Table 5). The odds ratio of severe daily pain was 0.31 in the decedents aged 90+ compared to 0–49 (95% CI: 0.23 to 0.42). Those with severe or very severe cognitive impairment had an OR of 0.68 and 0.52, respectively, compared to those who were cognitively intact. When examining disease trajectory, compared to frailty, those with terminal illness were more likely to report severe daily pain (OR 1.66, (95% CI: 1.46 to 1.88). Decedents with designated palliative home care had greater odds of increased pain compared to those without [OR 1.13 (95% CI: 1.03 to 1.24)]. Conversely, the trend seen with physician home visits was no longer statistically significant for specialist or non-specialist home visits when all covariates were accounted for [OR 1.12 (95% CI: 0.99 to 1.26) and 1.14 (95% CI: 0.91 to 1.44)].
Table 5
Multivariate logistic regression for factors associated with severe daily pain among the last 30 days of life
Effect
Odds
Ratio
Estimate
Lower 95%
Confidence Limit for Odds Ratio
Upper 95%
Confidence Limit for Odds Ratio
Age
 0–49
ref
ref
ref
 50–59
0.79
0.58
1.08
 60–69
0.60
0.45
0.80
 70–79
0.44
0.33
0.59
 80–89
0.36
0.27
0.47
 90+
0.31
0.23
0.42
Sex
 Male
ref
ref
ref
 Female
1.25
1.16
1.35
Income Quintile
 Highest
ref
ref
ref
 High
1.10
0.97
1.24
 Middle
1.07
0.94
1.21
 Low
1.03
0.92
1.17
 Lowest
1.08
0.95
1.21
Rurality
 Urban
ref
ref
ref
 Rural
0.98
0.89
1.08
ADLsa
 Independent
ref
ref
ref
 Limited impairment
1.12
0.98
1.28
 Supervision required
1.10
0.94
1.29
 Extensive assistance required (I)
1.26
1.08
1.46
 Extensive assistance required (II)
1.31
1.13
1.51
 Dependent
1.76
1.53
2.04
 Total dependence
2.05
1.63
2.59
IADLsb
 No difficulty in any of three IADLs
ref
ref
ref
 Some difficulty in one IADL only
2.04
0.83
5.03
 Some difficulty in two IADLs only
2.69
1.20
6.04
 Some difficulty in all three IADLs
2.16
0.80
5.87
 Great difficulty in one IADL but less than
great difficulty in the other two
3.57
1.63
7.83
 Great difficulty in two IADLs but less
than great difficulty in the other one
3.90
1.79
8.51
 Great difficulty in all three IADLs
3.09
1.41
6.77
Palliative Home Care
 No
ref
ref
ref
 Yes
1.13
1.03
1.24
Physician Home Visit
 No Physician Home Visit
ref
ref
ref
 Physician Home Visit Non Specialist
1.12
0.99
1.26
 Palliative Care Specialist
1.14
0.91
1.44
Cognitive Performance Scale (CPS)
 Intact
ref
ref
ref
 Borderline intact
1.10
0.97
1.24
 Mild impairment
0.97
0.88
1.08
 Moderate impairment
0.75
0.65
0.87
 Moderate/severe impairment
0.61
0.48
0.78
 Severe impairment
0.68
0.56
0.82
 Very severe impairment
0.52
0.40
0.68
Number of Chronic Conditions
 0–2
ref
ref
ref
 3–4
1.09
0.98
1.21
 5+
1.34
1.21
1.49
Trajectory
 Frailty
ref
ref
ref
 Organ Failure
1.06
0.94
1.19
 Sudden Death
1.28
1.04
1.58
 Undetermined
1.26
0.95
1.68
 Other
1.59
1.28
1.97
 Terminal Illness
1.66
1.46
1.88
aActivities of daily living
bInstrumental activities of daily living

Discussion

We examined the proportion of severe daily pain reported in the last 30 days of life using population-based administrative databases. We observed that less than 1 in 5 decedents (17.2%) report severe daily pain. This level of pain is considered inadequately treated and would likely be associated with lower quality of life and functional impairment [37, 38]. We identified multiple demographic, clinical and system factors associated with increased end-of-life pain, many of which have not been previously described. Notably, disease trajectory impacted reported severe daily pain at the end of life. Those with terminal illness (i.e. cancer) and other had higher odds of reporting pain than those with frailty, sudden death or organ failure (cardiac or pulmonary). Interestingly, renal failure is categorized into the other disease trajectory and was associated with increased reported pain. Although this is a condition that is not typically considered inherently painful, it is possible that pain in this population may be undertreated, possibly due to fear of using analgesic medications that may worsen renal function or are renally cleared. Additionally, increased pain reported by females and younger decedents could be hypothesized to be related to the specific illness or trajectory related to these populations; however, this trend is persistent when disease trajectory was accounted for. The increased reported pain in those receiving palliative services may have been related to referral bias where those with increased pain are more likely to receive a palliative care referral. However, only a small minority received a palliative home care designation or physician home visit despite being close to death. This is consistent with other jurisdictions signaling large room for improvement in access to palliative care services [35, 40].
Our study addresses a gap in the previous literature by examining end-of-life pain in a large sample, using a validated pain scale and conducting analyses adjusting for multiple potential confounders. The proportion of pain reported in this study is lower than previously reported by other population research [21]. This may be attributed to our study examining those with daily severe pain compared to previous research including intensity (moderate-severe) but not considering frequency when determining clinical significance. Previous studies [1113, 21] have demonstrated an association between pain and select comorbidities: arthritis, cancers and mental health conditions, which was again shown in our population. We demonstrated lower reported pain in persons with neurological impairment (dementia and post-stroke). Decreased reported pain in those with reduced cognitive functioning was maintained with confounders such as age, frailty and gender accounted for. This is consistent with previous studies demonstrating that pain may be underreported in those with cognitive impairment [18, 19]. It is difficult to infer if perceived pain levels are in fact lower or if those with cognitive impairment are unable to vocalize pain.

Strengths and limitations

We examined a wide array of health care services at the end of life for a large, population-based decedent cohort. This is possible in Ontario, comprising of approximately 40% of the Canadian population, where well-developed health administrative databases are linked at an individual level for a range of publicly-funded health services. Previous studies have focused on specific populations or had limited access to other health care services utilized by decedents. We recognize the data used for this study is relatively old, although there were no significant policy or practice changes since 2015 that would reasonably be expected to influence the relevance of our findings to current practice. While used widely as a clinical assessment tool in many settings, we also acknowledge that the validation for the RAI-HC pain scale was completed in elderly patients in nursing homes, potentially limiting the generalizability of this scale. Additionally, one of our primary limitations is that our data is collected from those who have received a RAI-HC assessment in the last month of life. This may limit the generalizability to those in long-term care home (nursing home), community, or hospital settings who have not been assessed for publicly funded home services (about 40% of decedent population) [41]. This approach also does not capture palliative home care received through private (out-of-pocket) expenses or nurse practitioner palliative home visits. Nevertheless, the RAI-HC provided us with a rare large population-based cohort that contained detailed information about patient-centered variables and outcomes (symptoms, living arrangements, caregiver information), beyond what has previously been presented in literature.

Conclusion

We observed multiple demographic, clinical and system factors associated with increased pain at the end of life. Clinicians should recognize severe daily pain is common but perhaps not proportional to the fear of suffering in pain that many experience when contemplating end of life [2]. Regardless this is still a significant number of people who report severe pain, and prompt screening and management of pain should be considered, particularly for those with increased risk factors. Improvements in access and quality of care likely would reduce the prevalence of severe pain at the end of life, given previous studies showing large gaps in palliative care provision [41].

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12904-020-00569-2.

Acknowledgments

Not applicable.
Ethics approval was obtained from the Sunnybrook Health Sciences Centre Research Ethics Board in Toronto, Canada and from the Ottawa Health Science Network Research Ethics Board in Ottawa, Canada.
Not applicable.

Competing interests

The authors declare they have no competing interests.
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Metadaten
Titel
Severe pain at the end of life: a population-level observational study
verfasst von
A. Meaghen Hagarty
Shirley H. Bush
Robert Talarico
Julie Lapenskie
Peter Tanuseputro
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Palliative Care / Ausgabe 1/2020
Elektronische ISSN: 1472-684X
DOI
https://doi.org/10.1186/s12904-020-00569-2

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