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Erschienen in: BMC Palliative Care 1/2018

Open Access 01.12.2018 | Research article

Increasing Trend in Hospital Deaths Consistent among Older Decedents in Korea: A Population-based Study Using Death Registration Database, 2001–2014

verfasst von: Tran Thi Xuan Mai, Eunsook Lee, Hyunsoon Cho, Yoon Jung Chang

Erschienen in: BMC Palliative Care | Ausgabe 1/2018

Abstract

Background

With improvement in hospice palliative care services and long-term care, Republic of Korea (hereafter South Korea) has recorded significant changes in places of death (e.g., hospital, home), especially among older adults. Over the last few decades, the most common places of death in South Korea were hospitals. However, Koreans, especially older adults, reportedly prefer to receive terminal care and eventually die at home. This study was conducted to investigate trends in places of death among older Korean adults and factors associated therewith.

Methods

Data were obtained from the Korean Death Registration Database maintained by the National Statistical Office. Decedents who died after the age of 65 years from 2001 to 2014 were included in the analysis. For descriptive analysis, proportions of places of death were analyzed and were used to plot graphs for visualizing trends during 13-year period. Logistic regression model was used to evaluate factors associated with places of death (hospital versus home).

Results

Two million three hundred fifty eight thousand two hundred eleven older adult decedents were included in final analysis. Hospitals were the most common places of death (57.82%), followed by homes (32.12%). Dying at social welfare facilities was rare (2.61%). A gradual increase in hospital deaths (31.38% in 2001 to 75.30% in 2014) and a subsequent decrease in home deaths (60.44% to 15.95% over the same period) were noted. Hospital deaths were more likely for younger patients (ORs 1.28, 95% CI 1.27-1.29), females (ORs 1.28, 95% CI 1.27-1.29), and single/divorced or widowed individuals (ORs 1.77, 1.49 and 1.03 respectively). A higher education level and living in urban areas were strongly associated with a higher likelihood of dying in a hospital.

Conclusion

Over the study period, there was a consistent increasing trend in hospital deaths in South Korea. Trends in place of death and factors associated therewith should be more intensely investigated and monitored. Resources and facilities should be increased to fulfill end-of-life care preferences and the needs of an increasingly older population in South Korea.

Background

Place of death has been suggested as a key indicator and outcome measure of end-of-life care [14]. Distributions of places of death hold important implications in public health planning, policymaking, and resource allocation for effective care [5]. Identifying and fulfilling preferences for place of death also have cost implications [6]. Research has indicated that end-of-life care at hospitals is associated with health expenditures that are two [7] to even three times [8] higher than those for end-of-life care at home or community care settings. Therefore, reducing inappropriate hospital admissions, shortening length of hospital stay, and changing the setting of end-of-life care (from hospital care to community care or home care) have garnered greater focus in policy initiatives in the United States [2, 9] and many European countries, particularly England [8, 10].
Approximately half of decedents expressed preference for a home-based end-of-life and eventually die at their usual place of residence [1114]. However, hospitals, which are consistently regarded as the least preferred place of death, still remain the most common places of death in many developed countries [15, 16]. Nonetheless, studying trends in where people die and assessment of changes in living arrangements, which are likely to influence death places and types of end-of-life care, are important to developing appropriate approaches and policies regarding end-of-life care. Various studies have been conducted to investigate where people actually die; the majority of said studies have mainly focused on cancer decedents [17]. In South Korea, as the population of older adults is expected to grow dramatically in number due to significant increases in life expectancy and population aging, examining deaths from other chronic conditions, such as dementia related diseases, that are more common among older adults will become more important. For this reason, the present study focused on older adults who died from major chronic conditions, including cancer and other diseases.
In South Korea, a shift in the distribution of deaths across settings was observed between 1992 and 2001, from deaths at home to deaths in a hospital [18]. While hospice and palliative care is still a relatively new concept in South Korea, policies and efforts have been undertaken to improve these services [19], such as an initial palliative care program for cancer patients in 2004. To further improve hospice and palliative care services, reevaluating changes in places of death in South Korea is needed, especially among the elderly.
Using a death registration database, we conducted this study to provide insight into trends in places of death among older adults in South Korea and associations with independent determinants thereof, including cause of death, socio-demographic factors, and residential area. Since cancer ranks among the most popular causes of death in South Korea [20], we focused on comparing places of death between cancer and non-cancer decedents. Results from this study could assist health planners with improving the quality of end-of-life health care in South Korea, particularly that for older adults.

Methods

Data source

Data for this study were obtained from a death registration database maintained by the National Statistical Office (NSO) in South Korea. According to the Korea Family Registration Act, all deaths must be reported to the local administrative government within one month thereafter. The NSO then collects data through National Vital Statistics System. In this study, we included data of all decedents who died at age 65 years or older from 2001 to 2014. Death certificate records include the following information: time of registration (day, month, and year), place of residence, sex, time of death (year, month, day, and time), place of death, occupation of decedent, by whom death was diagnosed, marital status, education level, and first and second underlying causes of death according to International Classification of Diseases version 10 (ICD-10) [20].

Outcome measure

The NSO classifies places of death as home, medical institution or hospital, residential institution, public administrative area, road, commercial service facilities (store, hotel, etc.), industrial area, agricultural area, during hospital transfer, other places, and unknown [20]. We selected the most common places of deaths in South Korea [18] and later re-classified outcome variables into four main categories: home; hospital; social welfare-public facilities (hereafter social welfare facility), including residential institution and public administrative area; and elsewhere.

Explanatory variables

Explanatory variables included were sex, age at death, marital status and education level. In accordance with our target population, we analyzed data on eight illnesses common among older adults that are relevant to end-of-life care [16]. We also included human immunodeficiency virus infection (HIV) in our analysis. Using ICD-10 classification, causes of death were classified into 10 categories: cancer (C00-C97), dementia (F00-F03), ischemic heart disease (I20-I25), cerebrovascular disease (I60-I69), chronic lower respiratory diseases (J40-J47), Parkinson’s disease (G20), Alzheimer’s disease (G30), HIV (B20-B24), and others.

Statistical analysis

Time trends in proportions of death at a hospital, home, or social welfare facility were described. Associations between place of death and explanatory variables were evaluated using Pearson’s Chi-squared test. Dependent variable was defined as “hospital death” (1) versus “home death” (0). Due to our interest in hospital death versus home death, deaths at other places were excluded from the regression model. We conducted univariate and multivariate logistic regressions. Crude odds ratio and adjusted odds ratio (ORs and aORs) were reported together with 95% confidence intervals (95% CI). Statistical significance was set at P-values <0.05.

Results

After excluding 49,829 (2%) subjects with missing data on key variables, the final data set included data on 2,358,211 individuals over the age of 65 years (Table 1, Fig. 1). Overall, 1,090,996 deaths occurred between 2001 and 2007 and 1,267,215 during 2008-2014. Hospitals were the most common place of death (57.8%) over the whole period, followed by death at home (32.1%). Mean age at death was 78.29 years for 2001-2007 and 79.53 years for 2008-2014. The proportion of those who died at 85 years or over increased from 23.5% in 2001-2007 to 28.7% in 2008-2014.
Table 1
Characteristics of older decedents from all cases of death, South Korea 2001-2014
Variable
Value
2001-2014
2001-2007
2008-2014
N
%
N
%
N
%
All
All
2,358,211
100.0
1,090,996
100.0
1,267,215
100.0
Place of death
Home
757,345
32.1
503,446
46.2
253,899
20.0
Hospital
1,363,502
57.8
474,251
43.5
889,251
70.2
Social/Welfare
61,650
2.6
9728
0.9
51,922
4.1
Others
175,714
7.5
103,571
9.5
72,143
5.7
Age, years
Mean (SD)
78.96
7.99
78.29
7.95
79.53
7.98
Median a
79
73-85
78
72-84
79
73-85
Age, categorized
65-74
762,012
32.3
385,390
35.3
376,622
29.7
75-84
976,836
41.4
449,453
41.2
527,383
41.6
85+
619,363
26.3
256,153
23.5
363,210
28.7
Gender
Male
1,130,903
48.0
510,054
46.8
620,849
49.0
Female
1,227,308
52.0
580,942
53.3
646,366
51.0
Marital status
Single
32,342
1.4
14,159
1.3
18,183
1.4
Married
1,034,786
43.9
464,259
42.6
570,527
45.0
Divorced
55,109
2.3
17,666
1.6
37,443
3.0
Widowed
1,235,974
52.4
594,912
54.5
641,062
50.6
Education level
Uneducated
948,400
40.2
503,458
46.2
444,942
35.1
Elementary
826,454
35.1
364,111
33.4
462,343
36.5
Middle/High school
459,258
19.5
176,074
16.1
283,184
22.4
University or higher
124,099
5.3
47,353
4.3
76,746
6.1
Residential area
Rural
416,887
21.9
132,609
21.0
284,278
22.4
City
772,729
40.7
267,865
42.3
504,864
39.8
Metropolitan
429,049
22.6
139,442
22.0
289,607
22.9
Capital
281,601
14.8
93,135
14.7
188,466
14.9
Cause of death
Cancer (C00-C97)
588,461
25.0
256,908
23.6
331,553
26.2
Dementia (F00-F03)
52,341
2.2
23,650
2.2
28,691
2.3
IHD (I20-I25)
111,048
4.7
52,655
4.8
58,393
4.6
CVDs (I60-I69)
238,899
10.1
142,146
13.0
96,753
7.6
COPD (J40-J47)
98,466
4.2
52,177
4.8
46,289
3.7
Parkinson’s Disease (G20)
21,402
0.9
6417
0.6
14,985
1.2
Alzheimer’s Disease (G30)
27,005
1.2
7465
0.7
19,540
1.5
HIV (B20-B24)
163
0.0
30
0.0
133
0.0
Others
1,220,589
51.8
549,578
50.4
671,011
53.0
aMedian and interquartile
Overall, hospitals were the most common place of death ranging around 60-70% (Table 2). The proportion of hospital deaths increased with increasing age; the opposite was observed for deaths at home. Hospital deaths accounted for the largest percentage in all age groups, with 63.9% in the 65-74 years age group and 48.2% in the 85+ years age group. Hospital deaths were slightly more frequent among male decedents than female decedents (60.3% vs. 55.6%). Hospital deaths increased with increasing education level (48.9% among uneducated subjects and 72.0% among college/university educated subjects). In terms of residential area, deceased people living in metropolitan areas comprised the highest proportion of hospital deaths, compared to residents in other areas. However, the difference in the proportions of places of death across different urbanization levels was not significant. Results from the Pearson’s chi-squared test were significant for all explanatory variables.
Table 2
Characteristics of older decedents by place of death: home, hospital and Social welfare facility, South Korea 2001-2014
Variable
Value
Home
Hospital
Social welfare facility
p-value*
N
%
N
%
N
%
 
Age, categorized
65-74
203,539
26.7
487,148
63.9
9032
1.2
<0.001
75-84
307,165
31.4
577,655
59.1
23,392
2.4
 
85+
246,641
39.8
298,699
48.2
29,226
4.7
 
Gender
Male
343,169
30.3
681,673
60.3
18,719
1.7
<0.001
Female
414,176
33.8
681,829
55.6
42,931
3.5
 
Marital status
Single
7468
23.1
21,114
65.3
1568
4.9
<0.001
Married
307,704
29.7
634,106
61.3
13,980
1.4
 
Divorced
11,657
21.2
37,306
67.7
1810
3.3
 
Widowed
430,516
34.8
670,976
54.3
44,292
3.6
 
Education level
Uneducated
387,858
40.9
463,485
48.9
30,256
3.2
<0.001
Elementary
244,032
29.5
501,528
60.7
20,028
2.4
 
Middle/High school
103,678
22.6
309,134
67.3
9110
2.0
 
University and higher
21,777
17.6
89,355
72.0
2256
1.8
 
Residential area
Rural
201,438
38.9
279,800
54.1
10,883
2.1
<0.001
City
316,624
32.8
542,986
56.3
28,746
3.0
 
Metropolitan
147,200
27.9
338,537
64.2
9426
1.8
 
Capital
92,083
26.4
202,179
58.1
12,595
3.6
 
Cancer cause
Cancer
122,162
20.8
438,733
74.6
5801
1.0
<0.001
Non-cancer
635,183
35.9
924,769
52.3
55,849
3.2
 
Cause of death
Cancer (C00-C97)
122,162
20.8
438,733
74.6
5801
1.0
<0.001
Dementia (F00-F03)
19,221
36.7
26,124
49.9
3926
7.5
 
IHD (I20-I25)
28,449
25.6
69,234
62.4
2239
2.0
 
CVDs (I60-I69)
80,457
33.7
138,492
58.0
6044
2.5
 
COPD (J40-J47)
31,996
32.5
59,474
60.4
1538
1.6
 
Parkinson’s Disease (G20)
5147
24.1
13,759
64.3
1255
5.9
 
Alzheimer’s Disease (G30)
4585
17.0
19,687
72.9
1508
5.6
 
HIV (B20-B24)
25
15.3
132
81.0
2
1.2
 
Others
465,328
38.1
597,999
49.0
39,339
3.2
 
Seasonal period
Spring
198,207
33.0
341,536
56.9
15,149
2.5
<0.001
Summer
169,106
31.0
323,291
59.2
13,721
2.5
 
Autumn
186,527
31.5
345,483
58.3
15,914
2.7
 
Winter
203,505
32.9
353,192
57.0
16,866
2.7
 
*p-value from Pearson’s Chi-squared test
Table 3 shows the results from logistic regression younger decedents exhibited a higher probability of dying in a hospital than the oldest age group (ORs for the 75-84 years age group of 1.28, 95% CI 1.27-1.29 and for the 65-74 years age group of 1.30, 95% CI 1.29-1.31). Females were more likely to die in a hospital than males (ORs 1.28, 95% CI 1.27-1.29). Among individuals that died from non-cancer causes, those of older age were more likely to die in a hospital. For other factors, including sex, marital status, education level, and residential area, similar results with the overall population were found between subjects divided according to cancer and non-cancer causes of deaths.
Table 3
Associated factors with hospital death (vs. home death) from univariate and multivariate logistic regression models 
Variable
Value
Overall
By cause of death
      
Cancer
Non-cancer
  
Crude
Adjusted
Crude
Adjusted
Crude
Adjusted
  
ORs
95% CI
ORs
95% CI
ORs
95% CI
ORs
95% CI
ORs
95% CI
ORs
95% CI
  
N = 2,120,847
N = 560,895
N = 1,559,952
Age, categorized
85+
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
75-84
1.55
1.54-1.56
1.28
1.27-1.29
1.08
1.06-1.11
1.03
1.01-1.05
1.44
1.43-1.45
1.30
1.29-1.31
65-74
1.98
1.96-1.99
1.30
1.29-1.31
1.21
1.19-1.24
1.05
1.03-1.07
1.69
1.67-1.70
1.33
1.32-1.34
Gender
Male
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
Female
0.83
0.82-0.84
1.28
1.27-1.29
1.17
0.16-1.19
1.45
1.43-1.48
0.88
0.87-0.88
1.24
1.23-1.25
Marital status
Married
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
Single
1.37
1.34-1.41
1.77
1.72-1.82
1.68
1.57-1.80
1.77
1.65-1.90
1.47
1.43-1.51
1.74
1.69-1.79
Divorced
1.56
1.52-1.59
1.49
1.46-1.53
2.19
2.09-2.31
1.93
1.83-2.03
1.50-
1.47-1.54
1.39
1.35-1.42
Widowed
0.76
0.74-0.76
1.03
1.02-1.04
1.08
1.07-1.10
1.38
1.11-1.16
0.81
0.81-0.82
1.01
0.99-1.01
Education level
Uneducated
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
Elementary
1.72
1.71-1.73
1.61
1.60-1.63
1.39
1.36-1.41
1.54
1.52-1.57
1.65
1.64-1.66
1.63
1.62-1.64
Middle/High school
2.50
2.47-2.52
2.27
2.25-2.29
2.08
2.04-2.12
2.38
2.33-2.43
2.24
2.22-2.26
2.21
2.20-2.24
University and higher
3.43
3.38-3.49
3.17
3.12-3.23
2.97
2.88-3.06
3.48
3.35-3.58
2.98
2.92-3.03
3.05
2.99-3.11
Residential area
Rural
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
City
1.23
1.23-1.24
1.13
1.13-1.14
1.39
1.37-1.42
1.25
1.23-1.28
1.19
1.18-1.20
1.10
1.09-1.11
Metropolitan
1.66
1.64-1.67
1.46
1.45-1.48
1.86
1.83-1.90
1.59
1.56-1.62
1.62
1.60-1.63
1.43
1.42-1.44
Capital
1.58
1.57-1.60
1.26
1.25-1.28
2.00
1.96-2.05
1.54
1.51-1.58
1.46
1.44-1.47
1.20
1.18-1.21
Cancer cause
Non-cancer (others)
1.00
 
1.00
         
Cancer (C00-C97)
2.47
2.45-2.48
2.18
2.17-2.20
        
Seasonal period
Spring
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
1.00
 
Summer
1.12
1.10-1.12
1.09
1.08-1.09
1.14
1.12-1.16
1.14
1.12-1.16
1.08
1.07-1.09
1.07
1.06-1.08
Autumn
1.07
1.07-1.08
1.06
1.06-1.07
1.12
1.10-1.14
1.11
1.09-1.13
1.05
1.05-1.06
1.05
1.04-1.06
Winter
1.01
0.99-1.02
1.01
1.01-1.02
1.05
1.03-1.07
1.05
1.03-1.07
1.01
0.99-1.01
1.01
0.99-1.01
Abbreviations: ORs Odd Ratios, CI Confidence Interval. Italic numbers: not statistically significant results
Figure 2 illustrates trends in the proportions of deaths at hospitals, home, and social and welfare facilities in South Korea from 2001 to 2014 according to age, sex, and causes of death. Overall, there was an upward trend in hospital deaths and a downward trend in deaths at home during this period, regardless of age, sex, and cause of death. Deaths at social and welfare facilities increased slightly and steadily, particularly after 2009. Hospital deaths started increasing earlier among the younger age group and those who died from cancer. There were no considerable differences in deaths at social and welfare facilities between males and females. Meanwhile, however, people who died after the age 85 of years or died from non-cancer causes tended to die more often in these facilities.
Figure 3 illustrates differences in the distribution of places of death according to cancer sites between two periods of time (2001-2007 and 2008-2014). For all cancer sites, compared with the first period, we noted an increase in the proportion of hospital deaths and a decrease in deaths at home. Compared to other cancers, the proportions of deaths at home were higher among those who died of prostate or stomach cancer (15.6% and 13.9% in 2008-2014 period).

Discussion

Utilizing death data for a 14 year-period, we explored trends in places of death in South Korea, primarily focusing on hospital deaths. Deaths in a hospital gradually increased from 2001 to 2014. Together with a previous study on the same topic [18], we found that hospital deaths in South Korea have increased since 1993 and that increase therein has remained consistent over the last two decades. In addition to South Korea, greater institutionalization of dying has also been noted in other countries. Other Asian countries have documented similar shifts from deaths at home to hospital deaths, including Japan and Taiwan. In Japan, a significant reduction in home deaths was observed, from 82% to 13%, as a result of rapid of growth in health care services in the 1960s to 1980s [12, 21]. A study conducted for Taiwanese cancer patients also noted a decreasing trend in home deaths [22]. These patterns are in stark contrast to those in Western countries, including British [23], England [15], US [24, 25], and Canada [26]. Previous studies in those countries have documented decreases in deaths at a hospital and a shift toward deaths at home or nursing homes. Similar trends were observed in Belgium and Australia [17, 27]: a shift to out-of-hospital deaths, such as death in a nursing home (including residential and skilled nursing care home). In Belgium, from 1998 to 2007, hospital deaths decreased from 55.1% to 51.7%, and care home deaths rose from 18.3% to 22.6%. The study in Belgium predicted that continuation of these trends would result in a doubling of deaths in care homes and significant decreases in deaths at home and in hospitals by 2040 [17].
Rapid economic transformation has brought about significant changes in South Korea’s demographics, as well as other society-altering phenomena, such as urbanization, changes in living arrangements, and household structure. According to a report from the Korean Ministry of Health and Welfare in 2004, more than half of Korean older adults live alone and/or with only their spouse [28]. Furthermore, results of a survey by a government research institution estimated that the proportion of households with occupants living alone and/or with only their spouse would increase to over 70% in 2010 [29]. These alterations in household structure make it no longer possible to maintain traditional systems of family-based care for older people. Therefore, the vast majority of older people who are in need of care and assistance must be admitted to a hospital to receive appropriate care. We presume that this major demographic issue has contributed to the noted increases in deaths at a hospital.
One study in South Korea concluded that greater hospital bed availability has facilitated a greater odds of dying in a hospital [18]. Their analysis further suggested that hospital bed availability was more strongly associated with place of death than place of residence [18]. Since 1990, the objectives of the Korean health care system have changed with efforts to achieve universal coverage [30]: Policies throughout the 90s mainly targeted accessibility and universality; they now focus on efficiency, equity, and quality of care. As a result, health care resources have dramatically improved, facilitating enormous increases in hospital beds [31]. Universal health care has provided Koreans with better access to medical services, particularly hospital-based care, and we believe that this has, in turn, contributed to increases in hospital deaths. Meanwhile, however, although palliative care and long-term health care were introduced in South Korea in 2003 and 2008, respectively, health care systems in South Korea have been deemed to be ill equipped to cope with a rapidly aging population [19]. Facilities, as well as health care services, for end-of-life care or palliative care have remained under-developed and insufficient [19]. Consequently, patients requiring these services have been found to occupy acute care beds in hospitals, potentially leading to the increasing number of deaths in hospitals [30].
Knowledge of determinants influencing place of death can be helpful to developing public health strategies targeting end-of-life care. Results from our study indicated that age, sex, education level, marital status, residence area, and causes of death are significantly associated with place of death. In our study, we found that increasing age was consistently a predictor of a reduced likelihood of dying in a hospital. This finding is consistent other studies [3, 18, 27]. One study conducted in Western Australia found that, beyond the age of 55 years, the rate of people who died in the hospital rises; however, after 85 years, people, especially females, tended to die more often in their place of residence [32]. Inconsistent results were found in a study of Canadians [33], wherein, although age also was a strong determinant of place of death, younger people were more likely to die at home and older people were more likely to die in extended care facilities.
Herein, we noted a striking discrepancy in places of death between less and more highly educated individuals. In our study, higher education was consistently a strong predictor of a higher likelihood of dying in a hospital and was consistent with previous investigations in South Korea [18, 34]. In some European countries, however, where home-based care or other types of end-of-life care are more developed, contrasting patterns in places of death according to education status have been observed: people with higher education less often die in a hospital [35]. Offering explanation thereon, the authors posited that education may affect differences in treatment or care preferences and differences in an individual’s capability to express those preferences. Highly educated people generally can communicate better with physicians and have well thought out plans on their dying trajectories. Moreover, in developed countries, less education is frequently associated with fewer financial resources, which consequently result in inaccessibility to expensive in-home care services. Therefore, institutional care and dying in a hospital is plausibly more frequent among lower educated people. Some studies, such as one in Germany, however, were unable to find any clear link between educational background and place of death [36].
Our analyses highlighted relationships between marital status and where people die similar to those in previous studies [18, 3537]. We found that decedents who were either single, divorced, or widowed for both sexes were more likely to die in a hospital than married decedents. We also discovered that older Korean adults living in more urbanized areas are more likely to die in a hospital, especially those living in metropolitan areas. Similarly, previous studies have reported that modern metropolitan cities have persistently high rates of hospital death [3, 18, 33, 35]. The influence of urbanization on places of death could be associated with better accessibility to care facilities and higher hospital bed availability in more urban areas.
In the present study, places of death differed substantially between older adults who died from cancer and those who died from other causes. In particular, compared to non-cancer, hospital deaths were appreciably more common among cancer decedents. This finding is congruent with previous investigations [18, 21, 35]. Terminal cancer patients frequently require palliative care in their last few months, and long hospital stays may increase the likelihood of dying in a hospital. In addition, as end-of-life care at nursing homes or in-home is not well developed in South Korea, cancer patients in South Korea typically die in hospitals. Palliative care is a relatively new focus of the health care in South Korea. Currently, palliative care in South Korea remains exclusively available to only people with cancer [30]. We suspect that this is the reason for the greater number of hospital deaths among older adults dying from cancer, compared to those dying from non-cancer diseases, in our study. Moreover, only some medical aspects and symptom management services are reimbursed under the National Health Insurance system. Therefore, patients in need of pain relief and who face difficulties with accessing specialist palliative care services must occupy acute care beds in hospitals. As a result, hospitals in South Korea have begun to offer palliative care services as a component of integrated treatment [30]. Meanwhile, however, research in other countries has concluded that cancer patients are more likely to die at home or other places than a hospital [33, 35]. Therein, the authors hypothesized that, since the disease course of cancer is more predictable and confers longer survival after diagnosis, cancer patients may have more time to prepare for approaching death; therefore, they can better choose where they want to die [36]. This discrepancy might reflect better development of other types of end-of-life services in some European countries [5].
This study analyzed of a large unique dataset to outline variations in places of death among older adults in South Korea. Analyzing datasets for 14 years, we conducted a comprehensive analysis through which to identify trends and distributions in places of death. Other strengths of this study include the high quality of the datasets with few missing cases and the population-based nature of the datasets. This study does have some limitations that warrant consideration. The use of death certificate data is inherently limited. First, as it is an administrative dataset, we cannot take into account several important factors that may have an impact on where people eventually die; these include medically related factors, such as characteristics of the course of the disease and dying process, and information on the decedent’s income and social support. Death certificate data also lack information on the patients’ preferences on their place of dying. Second, statistical patterns from this quantitative research does not allow us to draw an absolute conclusion about the choices, behaviors, or attitudes underlying those patterns. Another noteworthy point is that, since the South Korean government has implemented long-term care insurance on a nationwide scale, the numbers of both general and long-term care hospitals have increased dramatically recently. However, in the death registration database, long-term care hospitals and palliative care are coded together with general and other kinds of hospitals. Due to this limitation, we could not explore the distribution of deaths in this particular setting.

Conclusion

Utilizing Death Registration Database, this study outlined high quality empirical data on where older adults in South Korea died, together with information on factors associated therewith. Our results showed that there was a consistent increasing trend in hospital deaths in South Korea from 2001 to 2014. Therefore, we suggested that more sufficient resources and facilities should be provided to fulfill the end-of-life care preferences and needs of Korea population. Furthermore, forward future planning for palliative care should consider individuals dying from conditions with severely life-limiting symptoms other than cancer, as well as expanding the scope of services and coverage. To avoid unnecessary admissions to hospitals during the last few months of life, enhancing non-hospital based palliative care centers, such as home visits or day-care centers, could be a potential solution.

Acknowledgements

Not applicable.

Funding

This work was supported by the National Cancer Center Grant No. 1611180-1 and Grant No. 1810140-1. One of the authors, TTXM, received funding from the “International Cooperation & Education Program (#NCCRI·NCCI 52210-52211, 2017)”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Availability of data and materials

The South Korea Death Registration database that support the findings of this study are available from The Statistic Korea at www.​kostat.​go.​kr/​eng/​.
The research protocol was submitted for approval by National Cancer Center Research Ethics Broad but no ethics approval was needed to conduct this study.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
Increasing Trend in Hospital Deaths Consistent among Older Decedents in Korea: A Population-based Study Using Death Registration Database, 2001–2014
verfasst von
Tran Thi Xuan Mai
Eunsook Lee
Hyunsoon Cho
Yoon Jung Chang
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Palliative Care / Ausgabe 1/2018
Elektronische ISSN: 1472-684X
DOI
https://doi.org/10.1186/s12904-017-0269-x

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