Place of death and associated factors: a population-based study using death certificate data

2019 ◽  
Vol 29 (4) ◽  
pp. 608-615 ◽  
Author(s):  
María José Cabañero-Martínez ◽  
Andreu Nolasco ◽  
Inmaculada Melchor ◽  
Manuel Fernández-Alcántara ◽  
Julio Cabrero-García

Abstract Background Although studies suggest that most people prefer to die at home, not enough is known about place of death patterns by cause of death considering sociodemographic factors. The objective of this study was to determine the place of death in the population and to analyze the sociodemographic variables and causes of death associated with home as the place of death. Methods Cross-sectional population-based study. All death certificate data on the residents in Spain aged 15 or over who died in Spain between 2012 and 2015 were included. We employed multinomial logistic regression to explore the relation between place of death, sociodemographic variables and cause of death classified according to the International Classification of Diseases, 10th revision, and to conditions needing palliative care. Results Over half of all deaths occurred in hospital (57.4%), representing double the frequency of deaths that occurred at home. All the sociodemographic variables (sex, educational level, urbanization level, marital status, age and country of birth) were associated with place of death, although age presented the strongest association. Cause of death was the main predictor with heart disease, neurodegenerative disease, Alzheimer’s disease, dementia and senility accounting for the highest percentages of home deaths. Conclusions Most people die in hospital. Cause of death presented a stronger association with place of death than sociodemographic variables; of these latter, age, urbanization level and marital status were the main predictors. These results will prove useful in planning end-of-life care that is more closely tailored to people’s circumstances and needs.

2010 ◽  
Vol 8 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Mark Lazenby ◽  
Tony Ma ◽  
Howard J. Moffat ◽  
Marjorie Funk ◽  
M. Tish Knobf ◽  
...  

AbstractObjective:There is an emerging body of research aimed at understanding the determinants of place of death, as where people die may influence the quality of their death. However, little is known about place of death for people of Southern Africa. This study describes place of death (home or hospital) and potential influencing factors (cause of death, age, gender, occupation, and district of residence).Method:We collected the death records for years 2005 and 2006 for all adult non-traumatic deaths that occurred in Botswana, described them, and looked for associations using bivariate and multivariate analyses.Results:The evaluable sample consisted of 18,869 death records. Home deaths accounted for 36% of all deaths, and were predominantly listed with “unknown” cause (82.3%). Causes of death for hospital deaths were HIV/AIDS (49.7%), cardiovascular disease (13.8%), and cancer (6.6%). The mean age at the time of all deaths was 53.2 years (SD = 20.9); with 61 years (SD = 22.5) for home deaths and 48.8 years (SD = 18.6) for hospital deaths (p < .001). Logistic regression analysis revealed the following independent predictors of dying at home: unknown cause of death; female gender; >80 years of age; and residing in a city or rural area (p < .05).Significance of Results:A major limitation of this study was documentation of cause of death; the majority of people who died at home were listed with an unknown cause of death. This finding impeded the ability of the study to determine whether cause of death influenced dying at home. Future study is needed to determine whether verbal autopsies would increase death-certificate listings of causes of home deaths. These data would help direct end-of-life care for patients in the home.


2017 ◽  
Vol 31 (10) ◽  
pp. 964-974 ◽  
Author(s):  
Jorid Kalseth ◽  
Ole Magnus Theisen

Background: Surveys suggest that most people prefer to die at home. Trends in causes of mortality and age composition could limit the feasibility of home deaths. Aim: To examine the effect of changes in decedents’ age, gender and cause of death on the pattern of place of death using data on all deaths in Norway for the period 1987–2011. Design: Population-based observation study comparing raw, predicted, as well as standardised shares of place of death isolating the effect of demographic and epidemiological changes. The analysis was bolstered with joinpoint regression to detect shifts in trends in standardised shares. Setting/participants: All deaths (1,091,303) in Norway 1987–2011 by age, gender and cause of death. Place of death at home, hospital, nursing home and other. Results: Fewer people died in hospitals (34.1% vs 46.2%) or at home (14.2% vs 18.3%), and more in nursing homes (45.5% vs 29.5%) in 2011 than in 1987. Much of the trend can be explained by demographic and epidemiological changes. Ageing of the population and the epidemiological shift represented by the declining share of deaths from circulatory diseases (31.4% vs 48.4%) compared to the increase in deaths from neoplasms (26.9% vs 21.8%) and mental/behavioural diseases (4.4% vs 1.2%) are the strongest drivers in the shift in place of death. Joinpoint regression shows important differences between categories. Conclusion: Demographic and epidemiological changes go a long way in explaining shifts in place of death. The analyses reveal substantial differences in trends between different decedent groups.


Author(s):  
Scott Fulmer ◽  
Shruti Jain ◽  
David Kriebel

The opioid epidemic has had disproportionate effects across various sectors of the population, differentially impacting various occupations. Commercial fishing has among the highest rates of occupational fatalities in the United States. This study used death certificate data from two Massachusetts fishing ports to calculate proportionate mortality ratios of fatal opioid overdose as a cause of death in commercial fishing. Statistically significant proportionate mortality ratios revealed that commercial fishermen were greater than four times more likely to die from opioid poisoning than nonfishermen living in the same fishing ports. These important quantitative findings suggest opioid overdoses, and deaths to diseases of despair in general, deserve further study in prevention, particularly among those employed in commercial fishing.


2018 ◽  
Vol 34 (4) ◽  
pp. 224-231 ◽  
Author(s):  
Roger W. Hunt ◽  
Katina D’Onise ◽  
Anh-Minh Thi Nguyen ◽  
Kamalesh Venugopal

Aims:To describe changes in the place of death of patients with cancer from 1990 to 2012, and to identify issues for their end-of-life care.Materials and Methods:Population-based descriptive study, with analyses of place of death patterns, using the South Australian Cancer Registry records of 86 257 patients with cancer who died from 1990 to 2012.Results:From 1990 to 2012, the proportion of cancer deaths in hospital decreased from 63.4% to 50.9%, and in nursing homes increased from 8.2% to 22.5%. After the year 2000, the proportions in hospices and at home were both below 15%. Multivariate analyses showed that young patients with cancer were more likely to die in a hospice or at home, compared to elderly patients with cancer who were more likely to die in a nursing home; the likelihood of dying in a hospice increased with socioeconomic status; patients with a short survival time or a hematological malignancy were more likely to die in a metropolitan hospital.Conclusions:Compared to most other countries, the proportion of cancer deaths at home was low, and many patients would not have died at their preferred place. The trend for more cancer deaths to occur in nursing homes is likely to continue, but nursing homes generally lack the resources and skilled staff to provide quality palliative care. Models of palliative care delivery should take account of patient preferences, the growth of terminal cancer care in nursing homes, and apparent inequities.


2017 ◽  
Vol 176 ◽  
pp. 157-165 ◽  
Author(s):  
Kun-Hoo Na ◽  
Hyun Jung Kim ◽  
Kyoung Hoon Kim ◽  
Seungjin Han ◽  
Patrick Kim ◽  
...  

2008 ◽  
Vol 38 (3) ◽  
pp. 302-310 ◽  
Author(s):  
Jui-Yuan Yeh ◽  
Sudha Xirasagar ◽  
Tsai-Ching Liu ◽  
Chong-Yi Li ◽  
Herng-Ching Lin

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