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      Likelihood of death among hospital inpatients in New Zealand: prevalent cohort study

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          Abstract

          Objectives

          (1) To establish the likelihood of dying within 12 months for a cohort of hospital inpatients in New Zealand (NZ) on a fixed census date; (2) to identify associations between likelihood of death and key sociodemographic, diagnostic and service-related factors and (3) to compare results with, and extend findings of, a Scottish study undertaken for the same time period and census date. National databases of hospitalisations and death registrations were used, linked by unique health identifier.

          Participants

          6074 patients stayed overnight in NZ hospitals on the census date (10 April 2013), 40.8% of whom were aged ≥65 years; 54.4% were women; 69.1% of patients were NZ European; 15.3% were Maori; 7.6% were Pacific; 6.1% were Asian and 1.9% were ‘other’.

          Setting

          All NZ hospitals.

          Results

          14.5% patients (n=878) had died within 12 months: 1.6% by 7 days; 4.5% by 30 days; 8.0% by 3 months and 10.9% by 6 months. In logistic regression models, the strongest predictors of death within 12 months were: age ≥80 years (OR=5.52(95% CI 4.31 to 7.07)); a history of cancer (OR=4.20(3.53 to 4.98)); being Māori (OR=1.62(1.25 to 2.10)) and being admitted to a medical specialty, compared with a surgical specialty (OR=3.16(2.66 to 3.76)).

          Conclusion

          While hospitals are an important site of end of life care in NZ, their role is less significant than in Scotland, where 30% of an inpatient cohort recruited using similar methods and undertaken on the same census date had died within 12 months. One reason for this finding may be the extended role of residential long-term care facilities in end of life care provision in NZ.

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          Most cited references15

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          Where do people die? An international comparison of the percentage of deaths occurring in hospital and residential aged care settings in 45 populations, using published and available statistics.

          Place of death, specifically the percentage who die in hospital or residential aged care, is largely unreported. This paper presents a cross-national comparison of location of death information from published reports and available data. Reports of deaths occurring in hospitals, residential aged care facilities, and other locations for periods since 2001 were compiled. Over 16 million deaths are reported in 45 populations. Half reported 54 % or more of all deaths occurred in hospitals, ranging from Japan (78 %) to China (20 %). Of 21 populations reporting deaths of older people, a median of 18 % died in residential aged care, with percentages doubling with each 10-year increase in age, and 40 % higher among women. This place of death study includes more populations than any other known. In many populations, residential aged care was an important site of death for older people, indicating the need to optimise models of end-of-life care in this setting. For many countries, more standardised reporting of place of death would inform policies and planning of services to support end-of-life care.
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            Environmental justice and health: the implications of the socio-spatial distribution of multiple environmental deprivation for health inequalities in the United Kingdom

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              Changing trends in indigenous inequalities in mortality: lessons from New Zealand.

              We describe trends from 1951 to 2006 in inequalities in mortality between the indigenous (Māori) and non-indigenous (non-Māori, mainly European-descended) populations of New Zealand. We relate these trends to the historical context in which they occurred, including major structural adjustment of the economy from the mid 1980s to the mid 1990s, followed by a retreat from neoliberal social and economic policies from the late 1990s onwards. This was accompanied by economic recovery and the introduction of health reforms, including a reorientation of the health system towards primary health care. Abridged period lifetables for Māori and non-Māori from 1951 to 2006 were constructed using standard demographic methods. Absolute [standardized rate difference (SRD)] and relative [standardized rate ratio (SRR)] mortality inequalities for Māori compared with European/Other ethnic groups (aged 1-74 years) were measured using the New Zealand Census-Mortality Study (an ongoing data linkage study that links mortality to census records) from 1981-84 to 2001-04. The SRDs were decomposed into their contributions from major causes of death. Poisson regression modelling was used to estimate the extent of socio-economic mediation of the ethnic mortality inequality over time. Life expectancy gaps and relative inequalities in mortality rates (aged 1-74 years) widened and then narrowed again, in tandem with the trends in social inequalities (allowing for a short lag). Among females, the contribution of cardiovascular disease to absolute mortality inequalities steadily decreased, but was partly offset by an increasing contribution from cancer. Among males, the contribution of CVD increased from the early 1980s to the 1990s, then decreased again. The extent of socio-economic mediation of the ethnic mortality inequality peaked in 1991-94, again more notably among males. Our results are consistent with a causal association between changing economic inequalities and changing health inequalities between ethnic groups. However, causality cannot be established from a historical analysis alone. Three lessons nevertheless emerge from the New Zealand experience: the lag between changes in ethnic social inequality and ethnic health inequality may be short (<5 years); both changes in the distribution of the social determinants of health and an appropriate health system response may be required to address ethnic health inequalities; and timely monitoring of ethnic health inequalities, based on high-quality ethnicity data, may help to sustain political commitment to pro-equity health and social policies.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2017
                6 December 2017
                : 7
                : 12
                : e016880
                Affiliations
                [1 ] departmentThe School of Nursing , The University of Auckland , Auckland, New Zealand
                [2 ] departmentFreemasons Department of Geriatric Medicine , The University of Auckland , Auckland, New Zealand
                [3 ] departmentDepartment of Clinical Research , The Danish Knowledge Centre for Rehabilitation and Palliative Care, University of Southern Denmark , Odense, Denmark
                [4 ] departmentSchool of Interdisciplinary Studies , University of Glasgow , Glasgow, UK
                Author notes
                [Correspondence to ] Professor Merryn Gott; m.gott@ 123456auckland.ac.nz
                Author information
                http://orcid.org/0000-0003-4399-962X
                Article
                bmjopen-2017-016880
                10.1136/bmjopen-2017-016880
                5728296
                29217720
                cb823b70-bb07-41c6-847d-2c49c1474f8f
                © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 19 March 2017
                : 29 August 2017
                : 28 September 2017
                Categories
                Palliative Care
                Research
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                Custom metadata
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                Medicine
                palliative care,end of life,hospital,ethnicity,mortality,death
                Medicine
                palliative care, end of life, hospital, ethnicity, mortality, death

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