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Place of death and other factors associated with unnatural mortality in patients with serious mental disorders: population-based retrospective cohort study

Published online by Cambridge University Press:  04 March 2019

Rebecca Wilson*
Affiliation:
Research Associate, Cicely Saunders Institute of Palliative Care, Policy & Rehabilitation, Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, UK
Fiona Gaughran
Affiliation:
Lead Consultant/Senior Lecturer, Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London; and National Psychosis Unit, South London and Maudsley NHS Foundation Trust, UK
Tara Whitburn
Affiliation:
Consultant in Palliative Medicine, Barts Health NHS Trust, Macmillan Palliative Care Team, St Bartholomew's Hospital, UK
Irene J. Higginson
Affiliation:
Head of Department, Head of Division and Director of Cicely Saunders Institute, Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, UK
Wei Gao
Affiliation:
Reader in Statistics and Epidemiology, Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, UK
*
Correspondence: Rebecca Wilson, Cicely Saunders Institute of Palliative Care, Policy and Rehabilitation, Florence Nightingale Faculty of Nursing, Midwifery and Palliative Care, King's College London, Bessemer Road, London SE5 9PJ, UK. Email: rebecca.wilson@kcl.ac.uk
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Abstract

Background

Patients with serious mental disorders have poorer healthcare outcomes at the end of life and are at greater risk of dying from unnatural causes.

Aims

To explore place of death and demographic and clinical correlates of unnatural causes of death in patients with serious mental disorders.

Method

Routinely collected patient data were used to explore bivariate and adjusted associations between covariates and natural/unnatural cause of death.

Results

In multivariable analysis (n = 1029), dying at home (odds ratio (OR) = 1.87, 95% CI 1.03–3.40), ‘other’ locations (OR = 16.50, 95% CI 7.57–36.00), younger age (OR = 17.26, 95% CI 8.28–36.00) and a diagnosis other than schizophrenia spectrum disorder (OR = 1.69, 95% CI 1.04–2.73) were correlates of unnatural cause of death.

Conclusions

Deaths from unnatural causes were high and more likely to occur at home and non-healthcare settings. Unnatural causes of death were higher in younger patients with non-schizophrenia spectrum disorder diagnoses.

Declaration of interest

F.G. has received support or honoraria for CME, advisory work and lectures from Bristol-Myers Squibb, Janssen, Lundbeck, Otsuka, Roche, and Sunovion, and has a family member with professional links to Lilly and GSK, including shares.

Type
Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Royal College of Psychiatrists 2019

Patients with serious mental disorders have shorter lives compared with the general population.Reference Brown, Kim, Mitchell and Inskip1Reference Viron and Stern6 Although the gap in mortality is largely because of increased risk of premature death from natural causes,Reference Lawrence, Hancock and Kisely3, Reference Moore, Shiers, Daly, Mitchell and Gaughran7 rates of deaths from unnatural (or external) causes are also higher in patients with serious mental disorders than in the general population. Unnatural causes of death include suicides, homicides and accidental deaths.Reference Sonderman, Munro, Blot, Tarone and McLaughlin8 In the UK general population, deaths from unnatural causes represent 3.5% of all deaths,9 whereas, in patients with serious mental disorders, proportions of unnatural deaths range from 17.5% to 25% of deaths,Reference Reisinger Walker, McGee and Druss5, Reference Brown, Inskip and Barraclough10, Reference Hiroeh, Appleby, Mortensen and Dunn11 depending on the population included.

Previous research has identified various correlates of death from unnatural causes in patients with serious mental disorders, although studies differ on diagnostic inclusion criteria. Patients who die from unnatural causes are likely to be younger age,Reference Lopez-Morinigo, Ayesa-Arriola, Torres-Romano, Fernandes, Shetty and Broadbent12Reference Meloni, Miccinesi, Bencini, Conte, Crocetti and Zappa14 male,Reference Lawrence, Hancock and Kisely3, Reference Lopez-Morinigo, Ayesa-Arriola, Torres-Romano, Fernandes, Shetty and Broadbent12, Reference Brown15, Reference Dutta, Murray, Allardyce, Jones and Boydell16 have a psychiatric diagnosis other than schizophrenia spectrum disorder (SSD)Reference Hiroeh, Appleby, Mortensen and Dunn11, Reference Lopez-Morinigo, Fernandes, Chang, Hayes, Broadbent and Stewart17 and have been recently discharged from a psychiatric hospital.Reference Lopez-Morinigo, Ayesa-Arriola, Torres-Romano, Fernandes, Shetty and Broadbent12 However, it should be noted that many of these studies have focused on identifying the correlates of suicide,Reference Hiroeh, Appleby, Mortensen and Dunn11Reference Melle, Olav Johannesen, Haahr, ten Velden Hegelstad, Joa and Langeveld13, Reference Dutta, Murray, Allardyce, Jones and Boydell16, Reference Lopez-Morinigo, Fernandes, Chang, Hayes, Broadbent and Stewart17 rather than deaths from unnatural causes collectively.

Health care experiences of people with serious mental disorders

Patients with serious mental disorders have poorer access to and provision of physical healthcare.Reference Moore, Shiers, Daly, Mitchell and Gaughran7, Reference Ringen, Engh, Birkenaes, Dieset and Andreassen18 However, it is also reported that serious mental disorders are associated with more acute service use, particularly accident and emergency (A&E) visits and hospital admissions.Reference Lally, Wong, Shetty, Patel, Srivastava and Broadbent19 Previous research has shown that patients have a high risk of avoidable mortality following discharge from both acute and psychiatric hospitals.Reference Lopez-Morinigo, Ayesa-Arriola, Torres-Romano, Fernandes, Shetty and Broadbent12, Reference Hoang, Goldacre and Stewart20

Place of death is often used as an indicator of the quality of care at the end of life.Reference Sleeman, Ho, Verne, Glickman, Silber and Gao21, Reference De Roo, Miccinesi, Onwuteaka-Philipsen, Van Den Noortgate, Van Den Block and Bonacchi22 Several factors related to place of death have been identified,Reference Gomes and Higginson23 including some that may be pertinent to patients with serious mental disorders: healthcare input, social support and functional status. There is sparse research exploring place of death in this underserved population. One retrospective cohort study reported that the most common place of death in a study of patients with schizophrenia was hospital, followed by nursing homes.Reference Martens, Chochinov and Prior24 Suicides from within this group predominantly occurred in the home (47.5%) and around a third occurred in hospital (33.3%). These proportions were similar to a matched cohort of patients without a schizophrenia diagnosis.

Study aim

Deaths from unnatural causes are preventable. Identifying factors associated with these deaths in a potentially vulnerable and underserved population may illustrate groups of individuals who are at risk or have a greater likelihood of death from unnatural causes. This study aimed to assess place of death in a sample of patients with serious mental disorders who died from natural and unnatural causes and to explore associations between a number of health and social factors and deaths from unnatural causes.

Method

This was a retrospective cohort study using routinely collected data from the Clinical Record Interactive Search (CRIS) system, developed by the South London and Maudsley (SLAM) Biomedical Research Centre Case Register. SLAM is a secondary mental healthcare provider whose patients reside in south-east London and uses electronic health records for routine patient care. These data (collected from patients who gave consent for their data to be included in CRIS) were linked with mortality data from the Office for National Statistics and Hospital Episodes Statistics. Through CRIS, these electronic records are available for secondary data analysis in research.Reference Stewart, Soremekun, Perera, Broadbent, Callard and Denis25, Reference Perera, Broadbent, Callard, Chang, Downs and Dutta26 The research ethics approval, granted by the Oxfordshire Research Ethics Committee C (reference 08/H0606/71 + 5), allows the secondary analysis of CRIS-derived data. Ethical approval for this study was received from the CRIS oversight committee.

Patients were included in the present study if they died between 1 April 2007 and 31 March 2013, had complete data for cause of death and place of death and had a diagnosis of serious mental illness (as identified by ICD-10 codes: schizophrenia (F20), schizoaffective disorder (F25) or bipolar affective disorder (F31)) or other serious mental disorders (substance use disorders (F10–19), depressive episode (F32) or recurrent depressive disorder (F33)).27

Measures

Outcome measure

Cause of death was dichotomised as a binary measure of natural/unnatural deaths (0, natural cause of death; 1, unnatural cause of death). Unnatural deaths included the following underlying causes of death: injuries (S00–T19), burns/frostbite (T20–T35), poisoning (T36–T78), transport accidents (V01–V99), falls/other accidents (W00–X59), intentional self-harm (X60–X84, Y10–Y34), assault (X85–Y09 & U50.9) and complications of care and other causes (T79–T98, Y35–36, Y40–Y98).9 All other causes of death were coded as natural causes of death.

Explanatory variables

Demographic factors

Place of death was categorised as care homes, patients' homes, hospices, hospitals and ‘other’ locations – which included outdoor spaces, home addresses other than the patient's and other institutional buildings. Other demographic factors included age at death, gender, ethnicity (dichotomised as White British/Irish compared with all other ethnicities), area-level deprivation (measured using area-level deprivation quintiles (1, high deprivation; 5, low deprivation) defined by the Index of Multiple Deprivation at lower layer super output area level)Reference Payne and Abel28 and marital status.

Clinical factors

Risk status was measured using a binary indicator denoting patients who were identified as ‘at risk’, compared with not at risk (a brief risk assessment by SLAM healthcare professionals is a compulsory target for all patients who access SLAM, those flagged as ‘at risk’ then received a full risk assessment). Primary mental disorder diagnosis was recorded by SLAM professionals at each contact, thus many patients have multiple primary diagnosis. Where patients had any diagnosis of SSD, this was recorded as their primary diagnosis and a binary variable denoting SSD/other mental disorder was created. A categorical measure of healthcare in the last month of life indicated whether patients had been admitted to hospital (either general or psychiatric), had visited A&E, both or neither.

Statistical analysis

Ethnicity, marital status and area-level deprivation had missing data. Missing data were imputed using chained equations. Five imputations were created and estimates were combined using Rubin's rules.Reference Rubin and Schenker29

Descriptive statistics were explored for patients who died from a natural or unnatural cause. Bivariate associations between explanatory variables (demographic and clinical factors) and the outcome variable (natural/unnatural cause of death) were assessed using logistic regression. Factors bivariately associated with the outcome variable (P < 0.05) were included in a fully adjusted multivariable logistic regression model. Although we refer to ‘explanatory’ and ‘outcome’ variables, the analysis does not infer causality and the study was exploratory, with the aim of assessing the different health and social factors associated with patients who died from natural and unnatural causes.

Sensitivity analyses confirmed no meaningful difference between complete case models and imputed models. Imputed models were used to preserve the sample size. All analysis was performed using Stata 14.

Results

The study included 1029 patients who met the eligibility criteria. Descriptive statistics, stratified by natural/unnatural cause of death are presented in Table 1. Of the 1029 patients included in the analysis, 86.5% (n = 890) died from natural causes and 13.5% (n = 139) died from unnatural causes.

Table 1 Patients' descriptive statistics stratified by natural/unnatural cause of deatha

IMD, Index of Multiple Deprivation; SSD, schizophrenia spectrum disorder; A&E, accident and emergency.

a. Numbers rounded to one decimal place; where column % totals do not equal 100%, this is because of rounding.

Descriptive results demonstrated that, of those who died from unnatural causes, the largest proportion of deaths occurred in the home (39.6%; followed by other locations, 36%), whereas the majority of deaths from natural causes were in hospital (52.7%). Compared with patients who died from natural causes, patients who died from unnatural causes were younger (mean age  42.6 years, compared with mean age = 65.8 years) and predominantly male (67.6% compared with 51.8%). More were of ethnic backgrounds other than White British/Irish (42.9% compared with 37.7%) and comparable numbers lived in the most deprived quintile (38.1% compared with 35.6%).

Compared with patients who died from natural causes, those who died from unnatural causes were also predominantly single (79% compared with 55.4%), a higher proportion had been identified as being at risk (48.2% compared with 37.3% of patients who died from natural causes) and a greater proportion had a primary non-SSD psychiatric diagnosis (36.7% compared with 26.4%). These non-SSD diagnoses included affective psychosis (21.6% of deaths from unnatural causes), mood disorders/neuroses (9.4%) and organic/substance use disorders (5.8%). The majority of patients who died from unnatural causes neither visited A&E nor were admitted to a (general/psychiatric) hospital in the last month of life (70.5%), whereas this was the case for less than half of patients who died from natural causes (47.3%).

As a result of the low numbers of deaths in hospices and care homes (particularly in patients who died from unnatural causes), care home, hospice and hospital were collapsed into a single category denoting ‘institutional care settings’ in the place of death variable. In bivariate analyses (Table 2), dying at home or in other locations (compared with in a care setting), younger age, being male, being single compared with married/in a civil partnership/cohabiting, being identified as at risk, having a non-SSD primary diagnosis, neither visiting A&E nor being admitted to hospital in the last month of life (compared with both visiting A&E and being admitted) and visiting A&E but not being admitted were all significantly associated with an unnatural cause of death.

Table 2 Unadjusted and multiply adjusted odds ratios (95% CI) for demographic and clinical factors and unnatural cause of death in the sample (n = 1029)

SSD, schizophrenia spectrum disorder; A&E, accident and emergency.

* P < 0.05.

In a multiply adjusted model, dying at home or other location, younger age and having a non-SSD diagnosis remained significant correlates of unnatural cause of death following all adjustments. Associations with gender, marital status, risk status and healthcare use were all attenuated.

Discussion

Place of death

Descriptive analyses showed substantial differences in the place of death for patients who died from natural and unnatural causes; deaths from unnatural causes were higher at home and in other locations, whereas deaths from natural causes were higher in healthcare settings. In further analysis, place of death was significantly associated with unnatural cause of death in the fully adjusted model; unnatural deaths were more likely to occur in the home or in ‘other’ locations than in healthcare settings after adjusting for other relevant factors such as age, gender and healthcare access in the last month of life. Moreover, these data demonstrate that place of death cannot be used in the same way that it is for other populations as a proxy measure for quality of end-of-life care across a population of patients with serious mental disorders. As deaths from unnatural causes are higher in this population than in the general population, this should be taken into consideration when investigating place of death in patients with serious mental disorders and other mental disorders.

Diagnosis

In addition to place of death, the results demonstrated that younger age and a diagnosis other than SSD were strong correlates of dying from unnatural causes and attenuated associations between being male, single and at risk and unnatural death. These results are in line with existing research, as younger age was previously reported to be associated with increased likelihood of death by unnatural causes.Reference Lopez-Morinigo, Ayesa-Arriola, Torres-Romano, Fernandes, Shetty and Broadbent12Reference Meloni, Miccinesi, Bencini, Conte, Crocetti and Zappa14 By including all unnatural causes of death, the present study expanded on the results of Lopez-Morinigo et al Reference Lopez-Morinigo, Ayesa-Arriola, Torres-Romano, Fernandes, Shetty and Broadbent12 and Melle et al,Reference Melle, Olav Johannesen, Haahr, ten Velden Hegelstad, Joa and Langeveld13 which included only deaths by suicide. Exisiting literature has also explored psychiatric diagnosis as a correlate of unnatural causes of death, particularly suicide. Lopez-Morinigo et al Reference Lopez-Morinigo, Fernandes, Chang, Hayes, Broadbent and Stewart17 highlighted suicide risk factors in patients with serious mental disorders other than SSD and Hiroeh et al Reference Hiroeh, Appleby, Mortensen and Dunn11 reported that suicide risk was greatest for patients with substance use disorders, affective disorders and personality disorders. However, it should be considered that patients with SSD may have a different experience of care pathways to other diagnoses, because of diagnostic biases that might lead to prioritisation and preferential care provision from psychiatric services. Patients with SSD may be more likely to receive intervention from healthcare providers. Thus, it is likely that there are many other contributing factors to the association between psychiatric diagnosis and cause of death and we cannot conclude that a non-SSD diagnosis is predictive of unnatural cause of death.

Hospital care in the last month of life

Receiving no hospital care in the last month of life (neither visiting A&E nor being admitted to general/psychiatric hospital) and visiting A&E but not being admitted to hospital were both bivariately associated with death from unnatural causes, but these associations were attenuated by place of death in the adjusted model. In further inspection of the data (see supplementary Table 1 available at https://doi.org/10.1192/bjo.2019.5), healthcare acutely accessed in the last month of life was closely related to place of death; of the 510 patients who acutely accessed healthcare in the last month of life (visited A&E and/or were admitted to hospital), 79.2% (n = 404) died in hospital (93.3% from natural causes). As most people who died in hospital (whether admitted before or during the last month of life) died from natural causes (n = 469, 93.4% of the total 502 hospital deaths), it cannot be concluded that not accessing acute healthcare in the last month of life is directly associated with the increased likelihood of dying from unnatural causes. The results are more likely to suggest that patients (with serious mental disorders) with physical health problems are likely to either visit A&E or be admitted to hospital and then die in hospital. Further research is needed to explore the relationship between healthcare use at the end of life, cause of death and place of death.

Risk assessments

Previous literature has explored the role of risk assessments, using similar data, and showed that patients with SSD were more like to have had a full risk assessment than patients with a non-SSD diagnosis.Reference Lopez-Morinigo, Fernandes, Chang, Hayes, Broadbent and Stewart17 The present study found that, after adjusting for other covariates, there was not a significant association between receiving a full risk assessment, thereby being identified as ‘at risk’ by staff, and death from unnatural causes. These results are consistent with the conclusion drawn by Lopez-Morinigo et al,Reference Lopez-Morinigo, Fernandes, Chang, Hayes, Broadbent and Stewart17 in that, we did not observe an association between contact with a healthcare professional and receiving a risk assessment and likelihood of an unnatural death.

Proportion of unnatural deaths

Deaths because of unnatural causes were higher in this sample of patients with serious mental disorders and other mental disorders (13.5%) than for the general population (3.5%).9 However, the proportion of unnatural deaths from this study was lower than rates reported by previous studies; rates of unnatural causes have been reported between 17.5% and 25% of deaths in patient with serious mental disorders.Reference Reisinger Walker, McGee and Druss5, Reference Brown, Inskip and Barraclough10, Reference Hiroeh, Appleby, Mortensen and Dunn11 This may be because the present sample came from patients who were under the care of a mental healthcare trust at the time of death and thus were more likely to be receiving psychiatric care. Other studies reporting higher rates of deaths from unnatural causes included patients who had ever had a psychiatric hospital admissionReference Hiroeh, Appleby, Mortensen and Dunn11 or just included patients with schizophrenia.Reference Brown, Inskip and Barraclough10 A meta-analysisReference Reisinger Walker, McGee and Druss5 provided a more conservative prevalence rate (17.5%), closer to the one observed in these data.

Strengths and limitations

Strengths of this study include the use of linked data, making use of routinely collected data in research. Missing data were minimal, demonstrating the quality and richness of the data. Place of death and care at end of life are particularly understudied in this patient group, despite the increased mortality risk. This study adds to this knowledge gap. One limitation of this exploratory study is that the results do not infer causality and associations should not be interpreted as directional. This study utilised data from south London only. Although SLAM is the largest mental healthcare provider in Europe with a population of 1.1 million patients,Reference Stewart, Soremekun, Perera, Broadbent, Callard and Denis25 this is a limited geographic range and thus results may not be generalisable. As a result of the small numbers in the group of patients that died from unnatural causes, some categorical variables presented small cell counts and therefore some variables (place of death, primary diagnosis) had to be collapsed, limiting the level of detail the results were able to assess. Future work could aim to utilise a large sample.

Implications

This work preludes further work into end-of-life care and place of death in patients with serious mental disorders. The results have shown that place of death differs by natural and unnatural cause of death, therefore future work on place of death should be stratified by, or focus on either natural or unnatural causes of death. In line with previous research, this study found younger age was associated with death from unnatural causes and that there was an excess of unnatural mortality at home as well as other locations (outdoor spaces, home addresses other than the patient's and other institutional buildings). One implication for clinical practice and policy is to highlight a group of patients potentially at greater risk of death from unnatural causes; younger patients outside of healthcare settings. This study added to previous research by including unnatural causes other than suicide; younger patients are equally at greater risk of dying from unnatural causes other than suicide. Given that these deaths are potentially preventable, these results would suggest that younger patients with serious mental disorders may require extra support from health and social care providers. Any interventions to reduce the risk of suicide or deaths from unnatural causes should target these patients. Further research should explore the potential mechanisms by which this association might operate.

In conclusion, patients with serious mental disorders have higher rates of death from unnatural causes than the general population and these deaths are more likely to occur in the home or other non-healthcare settings. Our results suggest that younger patients and those with diagnoses other than SSD are less likely to die from natural causes, although the mechanisms behind these associations are unknown. Furthermore, patients who die from unnatural causes are less likely to have been admitted to hospital prior to death. This study has also demonstrated the benefits of using routinely collected clinical data in research and will inform further research in end-of-life care for patients with serious mental disorders.

Funding

This research was partly supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South London (NIHR CLAHRC South London) at King's College Hospital NHS Foundation Trust. This study represents independent research part funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. The views expressed in this article are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.

F.G. is part funded by the Stanley Medical Research Institute.

Acknowledgements

The authors thank the NIHR BRC staff for their support accessing and using CRIS data.

Supplementary material

Supplementary material is available online at https://doi.org/10.1192/bjo.2019.5.

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Figure 0

Table 1 Patients' descriptive statistics stratified by natural/unnatural cause of deatha

Figure 1

Table 2 Unadjusted and multiply adjusted odds ratios (95% CI) for demographic and clinical factors and unnatural cause of death in the sample (n = 1029)

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