Skip to main content
main-content

01.12.2014 | Research article | Ausgabe 1/2014 Open Access

BMC Palliative Care 1/2014

Place of death in the Czech Republic and Slovakia: a population based comparative study using death certificates data

Zeitschrift:
BMC Palliative Care > Ausgabe 1/2014
Autoren:
Martin Loucka, Sheila A Payne, Sarah G Brearley, EURO IMPACT
Wichtige Hinweise

Competing interests

The authors declared that they have no competing interests.

Authors’ contributions

ML obtained the data and performed the analysis. The manuscript was drafted by ML and approved by SB and SP. All three authors read and approved the final manuscript.
Abbreviations
CZ
The Czech Republic
SK
Slovakia
CI
Confidence interval
OR
Odds ratio
ICD-10
International classification of diseases, 10th edition.

Background

Death certificates represent a useful monitoring tool for public health policy [ 1, 2]. Choosing the best quality measures for end-of-life care is a very complex issue [ 3, 4] and information about place of death has been suggested to be one of the key indicators [ 57]. Together with research on place of death preferences [ 8, 9], the analysis of actual place of death is essential in planning appropriate end-of-life care policy [ 10]. Although the relationship between preference for place of death and actual choice is rather complex and influenced by various factors [ 11, 12], dying at home is often cited as the indicator of quality of end-of-life care because home is usually the preferred place for most people [ 13]. Previous studies have also highlighted the association between place of death with health care expenditure [ 14], the quality of life of dying patients and the bereavement outcomes of their relatives [ 15].
The modern form of death certificates (List o prohlídce mrtvého) has been collected in the Czech Republic and Slovakia since 1964 [ 16]. Similar to other European Union countries, it is completed by the attending physician usually at the place of death. It consists of both an administrative and clinical section and is subsequently sent to national statistics offices for further processing. The national statistics offices use parts of death certificates to analyse and publish official mortality statistics. Data about place of death have been included in this official database since 2007 in the Czech Republic and since 2011 in Slovakia.
To our knowledge, this is the first study using the whole population death certificates data from the Czech Republic and Slovakia and also from the region of Eastern Europe. The study sought to answer the following research questions:
1)
What was the general distribution of cause and place of death in the Czech Republic and Slovakia in 2011?
 
2)
What was the distribution in place of death for deaths caused by chronic conditions in the Czech Republic and Slovakia in 2011?
 
3)
What factors influence the likelihood that a person in the Czech Republic or Slovakia died from a chronic condition at home in 2011?
 

Methods

Study design

Death certificates data for all deaths in the Czech Republic (total population 10,505,445) and Slovakia (total population 5,404,322) in 2011 (N = 154288) were obtained from the Institute of Health Information and Statistics of the Czech Republic and the National Health Information Centre of the Ministry of Health of the Slovak Republic. They were received in anonymized form and collated together into one database. As the data were obtained in anonymized form and cannot be tracked back to individuals, ethical approval was not required.
Available variables were country, gender, age, date of death, education (elementary, secondary lower, secondary higher, university), marital status (single, married, divorced, widowed), cause of death (four-figure ICD-10 codes) and place of death. There is not a universally accepted coding system for place of death [ 1] and as such the information differed between both countries. In the Czech Republic the place of death categories include home, hospital, institutes for long term patients, social care homes, public space, during transportation to hospital and “other (please specify)”. In Slovakia, the categories are home, hospital, institutes for long term patients, public space, transport and “other (please specify)”. For the purpose of this study the datasets from both countries were merged into one database and categories of place of death were recoded to home, hospital, institutes for long term patients, and other (including all other options). The rationale for this recoding was that homes, hospitals, and institutes for long term patients included most of deaths in both countries (91% in CZ, 87.8% in SK) and the other categories are either marginal (public space and transportation with less than 4% of deaths) or not available from both countries (social care homes, available from CZ only with 5.3% of deaths).

Statistical analysis

Descriptive statistics were used to present the basic distributions of variables. Bivariate analysis using χ 2 Pearson tests were calculated in order to assess the associations between place of death and other variables. Separate analysis was conducted for deaths caused by chronic diseases as this sub-sample represents a population with similar end-of-life trajectory, potentially eligible for palliative care. We adopted the list of chronic diseases previously used in similar studies [ 2]. Statistical significance level was set as p < .01 with regard to the large sample size.
Significantly associated variables were later used in a binomial logistic regression model (enter selection procedure) comparing the chance of dying from chronic condition at home and in other settings in each country. The model was checked for multicollinearity and tested by Wald statistic and χ 2 Pearson test. In order to obtain a consistent sample suitable for regression modelling only people older than 50 years of age were included (N = 68799), because age is strongly related with cause of death [ 6]. All analyses were executed in IBM SPSS Statistics version 20.

Results

General population

There were 102385 deaths in the Czech Republic (CZ) and 51903 in Slovakia (SK) in 2011. Mode for age of death was 82 in SK and 84 in CZ. The mean age of death was significantly lower in SK than in CZ (71.64 versus 74.07 years, p < .001). Men in both countries were significantly more likely to die at home than women, odds ratio 1.3 in CZ, 1.05 in SK. Major causes of death were diseases of circulatory system (around 50%) and neoplasms (around 25%). Distributions of deaths from specific ICD-10 categories are shown in Table  1.
Table 1
Deaths in the Czech Republic and Slovakia in 2011 by ICD-10 categories*
ICD-10 category
Country
Total
CZ
SK
I. Certain infectious and parasitic diseases
N
1319
414
1733
%
1.3%
0.8%
1.1%
II. Neoplasms
N
26166
12071
38237
%
26.2%
23.3%
25.2%
IV. Endocrine, nutritional and metabolic diseases
N
2634
714
3348
%
2.6%
1.4%
2.2%
VI. Diseases of the nervous system
N
2013
763
2776
%
2.0%
1.5%
1.8%
IX. Diseases of the circulatory system
N
49163
27306
76469
%
49.2%
52.6%
50.4%
X. Diseases of the respiratory system
N
5396
3269
8665
%
5.4%
6.3%
5.7%
XI. Diseases of the digestive system
N
4354
2870
7224
%
4.4%
5.5%
4.8%
XIV. Diseases of the genitourinary system
N
1166
680
1846
%
1.2%
1.3%
1.2%
XIX. Injury, poisoning and certain other consequences of external causes
N
5352
2821
8173
%
5.4%
5.4%
5.4%
Other categories a
N
2375
995
3370
%
2.4%
1.9%
2.2%
Total
N
99938
51903
151841
 
%
100.0%
100.0%
100.0%
Missing CZ N = 2447, 1.6%.
*There was a significant association between ICD-10 category and country, tested by χ 2 Pearson test, p < .001.
aIII,V,VII,VIII,XII,XIII,XV-XVIII, each caused less than 1% of deaths.
There was a significant association between place of death and country (Table  2). When the place of death was recoded to binary variable (death at home or not), the odds of dying at home was 1.68 times higher in Slovakia ( χ 2 (1, N = 154288) = 1769.321, p < .001).
Table 2
Place of death in the Czech Republic and Slovakia in 2011*
 
Home
Hospital
Institutes for long term patients
Other
CZ
N
20850
59767
12488
9280
%
20.4%
58.4%
12.2%
9.1%
SK
N
15565
28451
1582
6305
%
30.0%
54.8%
3.0%
12.1%
*There was a significant association between place of death and country, tested by χ 2 Pearson test, p < .001.
There was a significant association between place of death and cause of death in both the Czech Republic ( χ 2 (27, N = 99938) = 9207.730, p < .001, Cramer’s V = .175) and Slovakia ( χ 2 (27, N = 51903) = 6446.631, p < .001, Cramer’s V = .203). The distributions are shown in Table  3.
Table 3
Cause of death and place of death in the Czech Republic and Slovakia in 2011*
   
Place of death
Primary cause of death (ICD-10)
 
Home
Hospital
Institutes for long term patients
Other
   
CZ
SK
CZ
SK
CZ
SK
CZ
SK
I. Certain infectious and parasitic diseases
N
32
14
1186
383
75
2
26
15
% a
0.2%
0.1%
2.0%
1.3%
0.6%
.1%
0.3%
0.2%
II. Neoplasms
N
4391
3464
16719
7596
4375
337
681
674
%
21.9%
22.3%
28.5%
26.7%
35.8%
21.3%
7.6%
10.7%
IV. Endocrine, nutritional and metabolic diseases
N
454
184
1737
452
253
25
190
53
%
2.3%
1.2%
3.0%
1.6%
2.1%
1.6%
2.1%
0.8%
VI. Diseases of the nervous system
N
273
248
1030
348
482
49
228
118
%
1.4%
1.6%
1.8%
1.2%
3.9%
3.1%
2.6%
1.9%
IX. Diseases of the circulatory system
N
11573
9748
26695
13050
5530
1008
5365
3500
%
57.7%
62.6%
45.4%
45.9%
45.2%
63.7%
60.1%
55.5%
X. Diseases of the respiratory system
N
662
484
3847
2479
557
80
330
226
%
3.3%
3.1%
6.5%
8.7%
4.6%
5.1%
3.7%
3.6%
XI. Diseases of the digestive system
N
532
462
3538
2287
181
26
103
95
%
2.7%
3.0%
6.0%
8.0%
1.5%
1.6%
1.2%
1.5%
XIV. Diseases of the genitourinary system
N
75
90
968
549
81
15
42
26
%
0.4%
0.6%
1.6%
1.9%
0.7%
0.9%
0.5%
0.4%
XIX. Injury, poisoning and certain other consequences of external causes
N
1440
768
1918
968
287
33
1707
1052
%
7.2%
4.9%
3.3%
3.4%
2.3%
2.1%
19.1%
16.7%
other categories b
N
612
103
1103
339
400
7
260
546
%
3.1%
0.7%
1.9%
1.2%
3.3%
.4%
2.9%
8.7%
Total
N
20044
15565
58741
28451
12221
1582
8932
6305
%
100%
100%
100%
100%
100%
100%
100%
100%
CZ only: Missing N = 2447, 2.4% (Home 3.9%; Hospital 1.7%; Institutes 2.1%; Other 3.7%).
*There was a significant association between place of death and ICD-10 category in both countries, tested by χ2 Pearson test, p < .001.
acolumn percentages for each country.
bIII,V,VII,VIII,XII,XIII,XV-XVIII, each caused less than 1% of deaths.

Subpopulation of deaths from chronic conditions

Cause of death

Slightly less than half of all deaths in CZ and SK in 2011 were caused by chronic conditions with cancer and stroke being the most frequent diagnoses (see Table  4). There was a small significant difference between proportion of deaths by chronic conditions in the Czech Republic and Slovakia ( χ 2 (1, N = 151841) = 529.452, p < .001, Cramer’s V = .059). People in the Czech Republic were 1.28 times more likely to die from chronic conditions than people in Slovakia.
Table 4
Deaths caused by chronic conditions in CZ and SK 2011
 
Country
Total (N,%)
 
CZ (N,%)
SK (N,%)
 
Cancer (C00-C97 and D37-D48)
26101 (26.1%)
12038 (23.2%)
38139 (25.1%)
Cerebrovascular diseases (stroke) (I60-I69)
10244 (10.3%)
5336 (10.3%)
15580 (10.3%)
Heart failure (I50)
4006 (4.0%)
1671 (3.2%)
5677 (3.7%)
Chronic liver disease (K70 and K72-K74)
1899 (1.9%)
1347 (2.6%)
3246 (2.1%)
Chronic obstructive pulmonary disorders (COPD) (J40-J47)
2488 (2.5%)
746 (1.4%)
3234 (2.1%)
Diabetes (E10-E14)
2237 (2.2%)
653 (1.3%)
2890 (1.9%)
Dementia (F00-F03 and G30)
1678 (1.7%)
226 (0.4%)
1904 (1.3%)
Chronic kidney disease (N03-N04, N11-N13 and N18)
767 (0.8%)
488 (0.9%)
1255 (0.8%)
Parkinson's disease (G20-G21)
210 (0.2%)
83 (0.2%)
293 (0.2%)
Multiple sclerosis (G35)
88 (0.1%)
32 (0.1%)
120 (0.1%)
Spinal muscular atrophy and related disorders (G12)
84 (0.1%)
23 (<0.0%)
107 (0.1%)
Neuromuscular disorders (G70-G71)
31 (<0.0%)
13 (<0.0%)
44 (<0.0%)
Acquired immunodeficiency syndrome (AIDS) (B20-B24)
7 (<0.0%)
1 (<0.0%)
8 (<0.0%)
overall proportion of deaths by chronic conditions b
49840 (49.9%)
22657 (43.7%)
72497 (47.7%)
overall proportion of deaths by non-chronic conditions
50098 (50.1%)
29246 (56.3%)
79344 (52.3%)
Total
99938 (100%)
51903 (100%)
151841 (100%)
bThere was a significant difference between proportions of deaths from chronic and non-chronic conditions in CZ and SK, tested by χ 2 Pearson test, p < .001.
Missing N = 2447 (CZ only).

Gender and age

Slightly more men than women died from chronic conditions in both CZ (50.8% versus 49.2%) and SK (54.1% versus 45.9%) in 2011. More than 93% of deaths from chronic conditions were in people older than 50 years of age and more than 63% were in people older than 70 years of age (see Table  5). Only in the age group of 51–70 years were more deaths caused by chronic conditions than non-chronic conditions.
Table 5
Gender and age distribution of deaths from chronic and non-chronic conditions*
 
Death from chronic condition
Total
 
CZ (N,%)
SK (N,%)
 
Age category
Chronic
Non-chronic
Chronic
Non-chronic
 
0-1 years
11 (<0.1)
274 (0.5)
10 (<0.1)
315 (1.1)
610
2-18 years
45 (0.1)
214 (0.4)
45 (0.2)
196 (0.7)
500
19-50 years
2037 (4.1)
3171 (6.3)
1570 (6.9)
2399 (8.2)
9177
51-70 years
17245 (34.6)
11812 (23.6)
8813 (38.9)
7079 (24.2)
44949
71 and older
30502 (61.2)
34627 (69.1)
12219 (53.9)
19257 (65.8)
96605
Total
49840 (100.0)
50098 (100.0)
22657 (100.0)
29246 (100.0)
151841
Gender
         
Male
25329 (50.8)
25148 (50.2)
12250 (54.1)
14547 (49.7)
77274
Female
24511 (49.2)
24950 (49.8)
10407 (45.9)
14699 (50.3)
74567
Total
49840 (100.0)
50098 (100.0)
22657 (100.0)
29246 (100.0)
151841
*There was a significant association between age category and cause of death (chronic condition yes/no) in both CZ and SK, tested by χ2 Pearson test, p < .001. In Slovakia, there was a significant difference between gender and cause of death (p < .001).

Place of death

Most of the deaths caused by chronic conditions occurred in hospitals (around 63% in both countries). People in the Czech Republic who died from other conditions were 1.8 times more likely to die at home than people who died from chronic conditions, in Slovakia 1.24 times more (Table  6).
Table 6
Place of deaths from chronic conditions a
Place of death
Deaths caused by chronic conditions
Total
 
YES
NO
 
 
CZ (N,%)
SK (N,%)
CZ (N,%)
SK (N,%)
 
Home
7672 (15.4)
6232 (27.5)
12372 (24.7)
9333 (31.9)
35609 (23.5)
Hospital
31824 (63.9)
14096 (62.2)
26917 (53.7)
14355 (49.1)
87192 (57.4)
Long term health care facility
7811 (15.7)
719 (3.2)
4410 (8.8)
863 (3.0)
13803 (9.1)
Other
2533 (5.1)
1610 (7.1)
6399 (12.8)
4695 (16.1)
15237 (10.0)
Total
49840 (100.0)
22657 (100.0)
50098 (100.0)
29246 (100.0)
151841 (100.0)
aThere was a significant association between place of death and cause of death (chronic condition yes/no), tested by χ 2 Pearson test, p < .001.
Missing N = 2447 (CZ only).

Regression analysis

Only deaths from chronic conditions in people older than 50 years were included in the regression analysis. Cancer patients in both countries were more likely to die at home than patients dying from other chronic conditions. Only patients with heart failure (OR in Czech Rep 1.249, in Slovakia 1.535) and Parkinson’s disease (Slovakia only 2.201) had higher chances of dying at home compared with cancer patients. Women were slightly less likely to die at home in both countries (Czech Rep OR 0.911, p = .011, Slovakia 0.879). People who died between the ages of 71–84 years in the Czech Republic were less likely to die at home than younger people (OR 0.849). In Slovakia, people 85 years old and older were most likely to die at home (OR 1.572). There was a contradictory result in the influence of education, when higher education status was associated with higher chance of dying at home in the Czech Republic (OR 1.223) and less chance in Slovakia (OR 0.793). P values, odds ratios and confidence intervals for individual factors are shown in Table  7.
Table 7
Factors influencing the likelihood of dying from chronic conditions at home*
 
CZ
SK
p
OR
95% CI for OR
p
OR
95% CI for OR
     
Lower
Upper
   
Lower
Upper
Chronic condition
               
  Cancer
               
  Stroke
<.001
.651
.591
.716
<.001
.666
.608
.729
  Dementia
<.001
.395
.307
.507
.067
1.341
.980
1.834
  COPD
.008
.809
.692
.947
<.001
.466
.373
.583
  Heart failure
<.001
1.249
1.116
1.398
<.001
1.535
1.353
1.743
  Diabetes
.122
1.126
.969
1.308
.076
.826
.669
1.020
  Parkinson's disease
.834
.950
.587
1.537
.001
2.201
1.360
3.562
  Chronic kidney disease
<.001
.406
.284
.581
<.001
.392
.290
.530
  Chronic liver disease
.001
.705
.576
.863
<.001
.638
.531
.767
  Spinal muscular atrophy
.124
1.646
.872
3.107
.583
.734
.243
2.217
  Multiple sclerosis
.509
1.283
.612
2.691
.751
.849
.309
2.334
  Neuromuscular disorders
.473
.472
.061
3.672
.547
.516
.060
4.434
Gender
               
  Male vs. female
.011
.911
.847
.979
.001
.879
.814
.949
Marital status
               
  Single
               
  Married
.046
1.169
1.003
1.363
.138
1.118
.965
1.295
  Divorced
.231
.898
.753
1.071
.050
.826
.682
1.000
  Widowed
.761
.975
.828
1.148
.736
1.027
.880
1.198
Age
               
  51-70 years
               
  71-84 years
<.001
.849
.786
.918
.644
1.020
.938
1.109
  85 and older
.464
1.040
.937
1.153
<.001
1.572
1.399
1.767
Education
               
  Lower vs. higher education a
<.001
1.223
1.122
1.332
<.001
.793
.729
.862
*Binary logistic regression (enter method), sample limited to deaths from chronic conditions (N = 68779) and age of 51 and older.
aMissing data on education status CZ 18939 (39.7%), SK 4463 (21.2%), treated by listwise deletion method.

Discussion

Only 20% and 30% of all deaths in the Czech Republic and Slovakia in 2011 occurred at home. This highlights a major discrepancy between actual and preferred place of death as the majority of people in these countries expressed a preference to die at home (78% in CZ, [ 17]). This result is similar to other European countries [ 6, 18] and confirms a common trend with more than half of the populations dying in a hospital setting (58.4% in CZ, 54.8% in SK).
Further analysis showed that almost two thirds of patients with chronic conditions died in hospitals in the Czech Republic and Slovakia. This number is considerably higher than in other countries with similar sized populations, such as the Netherlands [ 2], where only around 30% of deaths in people with chronic conditions occur in a hospital setting. Regression analysis confirmed that place of death is strongly associated with underlying cause of death with cancer patients being more likely to die at home than patients dying from other chronic conditions.
The results of this study support several trends identified in other countries, such as the discovery that more than half of the population die in hospitals and that men are more likely to die at home than women, probably because they die at a younger age when their wives or partners can help facilitate care at home [ 6, 10, 18, 19]. However, we also found some differences between the Czech Republic and Slovakia and other countries. In the Czech Republic and Slovakia most people who died from chronic conditions in 2011 died in hospitals (around 63% in both countries). There are several possible explanations for this finding. In the Netherlands, where only a third of such patients die in hospitals, nursing home care is developed to a very high level and provides care for similar proportion of dying people as hospitals [ 2]. In neither the Czech Republic nor Slovakia are such nursing homes available. Care homes for older people or local variations of nursing homes usually do not have a physician on the staff and many GPs do not have enough experience with symptom management at the end of life [ 20]. When complications occur the patient is most likely to be transported to hospital. Institutes for long term patients, which do have physicians on the staff, are often under such budgetary pressures that they can’t afford for example appropriate analgesics (Slama O, unpublished presentation a).
Odds of dying at home are increased when home palliative care services are available [ 13]. There are only few palliative home care services available in the Czech Republic and none in Slovakia [ 21]. The reason for this might be the fact that palliative home care is still not recognized in the health care insurance law and hence the palliative home care services can’t access the governmental health care budget. Legislative issues are main barriers in the further development in both countries, with long term care (including hospice care) being especially challenging area where two sectors, health and social care, are involved and coordination of their policies is difficult [ 2224]. The housing situation in the Czech Republic and Slovakia is also an important factor which influences the potential care for a dying relative at home. Typical home environments currently available are either two bedroom flat in cities or larger family houses in the countryside which means that when children want to provide care for their elderly parents they have to struggle either with space limitations or availability of support services which are rarely provided in rural areas [ 24].
There was a contradictory effect of education found in the selected countries. In the Czech Republic, people with higher education were more likely to die from chronic conditions at home (OR 1.223) while in Slovakia this was less likely (OR 0.793). In other countries the effect between greater education and chance of dying at home is usually positive [ 6, 10, 25]. Possible explanation for the difference in Slovakia might be the trend of massive urbanization in 1970’s and 1980’s with higher educated people typically moving into small flats and consequently being less likely to access and provide informal care at their homes. However, recent trends show that older people with university education tend to move out of cities [ 26], so this association has to be further explored.
This study also has its limitations. Firstly, not all variables, relevant to predicting place of death were available [ 1, 25], for example socio-economic status or level of urbanization. Problems with cause of death coding in death certificates is another well-known issue [ 27, 28] and has been reported also from both selected countries [ 29, 30]. A specific complication is the coding of place of death. Apart from lacking an universally accepted coding system [ 1] the practice of completing this question in forms is not unified. One example of confused practice is when death in social care home is coded as death at home. This situation sometimes happens when the patient has the address of the care home registered as his or her home address. It is not known how often it is, but bias of up to several percentages is possible in the Czech Republic [ 31]. In Slovakia, this category is not available at all. Similar confusion can occur in coding deaths in institutes for long term patients, which are sometimes mixed with acute hospitals, especially when it was only a long term care ward within a larger hospital. Palliative care units or hospices are not included in either of Czech and Slovak certificates and the coding of hospice deaths is also not clear as hospices can be recognized either as social care homes or “other”.

Conclusions

Analysis of Czech and Slovak death certificates data pointed out several trends previously identified in other countries. More than half of the population dies in hospitals, although the preferred place of death is home for most people. Patients with cancer or heart failure have better chances to die at home than patients dying from other chronic conditions. Apart from cause of death, other sociodemographic variables like gender, age or education influence the place of death. Czech and Slovak patients who died from chronic conditions were more likely to die in hospital setting than patients in other countries. This finding should be taken into account by policy makers and potential changes in health care services delivery suggested, for example with regards of end-of-life care education for general practitioners or the role of nursing homes. Support for palliative care home teams could also improve the likelihood to balance the preferred and actual place of death. However, more research is needed to understand what are the motives for place of death preferences, what conditions at home would really meet people’s expectations, as well as to explore the complex system of influencing factors in more detail.

Endnote

aSlama O: Improving Access to Pain Medicines: the example of the Czech Republic. Presentation during 13th World Congress of the European Association for Palliative Care; Prague; 1st June, 2013.

Acknowledgements

We thank Dr Sarka Dankova from the Institute of Health Information and Statistics of the Czech Republic and Dr Anna Barakova from the National Health Information Centre of the Ministry of Health of the Slovak Republic for their support with obtaining the data. We also thank the members of the EURO IMPACT consortium for their support and collaboration. The members are Van den Block Lieve a, Meeussen Koen a, Brearley Sarah e, Caraceni Augusto g, Cohen Joachim a, Costantini Massimo h, Francke Anneke b, Harding Richard c,d, Higginson Irene J c,d, Kaasa Stein f, Linden Karen k, Miccinesi Guido i, Onwuteaka-Philipsen Bregje b, Pardon Koen a, Pasman Roeline b, Pautex Sophie j, Payne Sheila e, Deliens Luc a,b.
This work was supported by the EURO IMPACT project (FP7/2007-2013, grant agreement number 264697). EURO IMPACT, European Intersectorial and Multidisciplinary Palliative Care Research Training, is funded by the European Union Seventh Framework Programme. EURO IMPACT aims to develop a multidisciplinary, multi-professional and inter-sectorial educational and research training framework for palliative care research in Europe. EURO IMPACT is coordinated by Prof Luc Deliens and Prof Lieve Van den Block of the End-of-Life Care Research Group, Ghent University & Vrije Universiteit Brussel, Brussels, Belgium a. Other partners are: VU University Medical Center, EMGO Institute for health and care research, Amsterdam, the Netherlands b; King’s College London, Cicely Saunders Institute, London c, Cicely Saunders International, London d, and International Observatory on End-of-Life Care, Lancaster University, Lancaster, United Kingdom e; Norwegian University of Science and Technology f, and EAPC Research Network g, Trondheim, Norway; Regional Palliative Care Network, IRCCS AOU San Martino-IST, Genoa h, and Cancer Research and Prevention Institute, Florence, Italy i; EUGMS European Union Geriatric Medicine Society, Geneva, Switzerland j; Springer Science and Business Media, Houten, the Netherlands k.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

Competing interests

The authors declared that they have no competing interests.

Authors’ contributions

ML obtained the data and performed the analysis. The manuscript was drafted by ML and approved by SB and SP. All three authors read and approved the final manuscript.
Literatur
Über diesen Artikel

Weitere Artikel der Ausgabe 1/2014

BMC Palliative Care 1/2014 Zur Ausgabe

Neu im Fachgebiet AINS

Mail Icon II Newsletter

Bestellen Sie unseren kostenlosen Newsletter Update AINS und bleiben Sie gut informiert – ganz bequem per eMail.

Bildnachweise