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Emergency department presentations with suicide and self-harm ideation: a missed opportunity for intervention?

Published online by Cambridge University Press:  18 April 2023

E. Ross
Affiliation:
Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
S. Murphy*
Affiliation:
Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
D. O’Hagan
Affiliation:
Service Development, Screening and Health Improvement, Public Health Agency, Ballymena, Northern Ireland
A. Maguire
Affiliation:
Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
D. O’Reilly
Affiliation:
Centre for Public Health, Queen’s University Belfast, Belfast, Northern Ireland
*
Author for correspondence: Siobhán Murphy; Email: siobhan.murphy@qub.ac.uk
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Abstract

Aims

Suicidal ideation constitutes a central element of most theories of suicide and is the defining facet separating suicide from other causes of death such as accidents. However, despite a high worldwide prevalence, most research has focused on suicidal behaviours, such as completed suicide and suicide attempts, while the greater proportion who experienced ideation, which frequently precedes suicidal behaviour, have received much less attention. This study aims to examine the characteristics of those presenting to EDs with suicidal ideation and quantify the associated risk of suicide and other causes of death.

Methods

Retrospective cohort study was performed based on population-wide health administration data linked to data from the Northern Ireland Registry of Self-Harm and centrally held mortality records from April 2012 to December 2019. Mortality data, coded as suicide, all-external causes and all-cause mortality were analysed using Cox proportional hazards. Additional cause-specific analyses included accidental deaths, deaths from natural causes and drug and alcohol-related causes.

Results

There were 1,662,118 individuals aged over 10 years, of whom 15,267 presented to the ED with ideation during the study period. Individuals with ideation had a 10-fold increased risk of death from suicide (hazard ratio [HRadj] = 10.84, 95% confidence interval [CI] 9.18, 12.80) and from all-external causes (HRadj = 10.65, 95% CI 9.66, 11.74) and a threefold risk of death from all-causes (HRadj = 3.01, 95% CI 2.84, 3.20). Further cause-specific analyses indicated that risk of accidental death (HRadj = 8.24, 95% CI 6.29, 10.81), drug-related (HRadj = 15.17, 95% CI 11.36, 20.26) and alcohol-related (HRadj = 10.57, 95% CI 9.07, 12.31) has also significantly increased. There were few socio-demographic and economic characteristics that would identify which of these patients are most at risk of suicide or other causes of death.

Conclusions

Identifying people with suicidal ideation is recognized to be both important but difficult in practice; this study shows that presentations to EDs with self-harm or suicide ideation represent an important potential intervention point for this hard-to-reach vulnerable population. However, and unlike individuals presenting with self-harm, clinical guidelines for the management and recommended best practice and care of these individuals are lacking. Whilst suicide prevention may be the primary focus of interventions aimed at those experiencing self-harm and suicide ideation, death from other preventable causes, especially substance misuse, should also be a cause of concern.

Type
Original Article
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, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press.

Introduction

Suicidal ideation (SI) is the defining facet separating suicide from other causes of death such as accidents. It constitutes a central element of most theories of suicide, with a separation of the factors leading to SI from those promoting or presaging the transition from ideation to suicidal actions (Klonsky et al., Reference Klonsky, May and Saffer2016). It has been estimated that 9% of the population across the world will experience SI at some point in their lives, 30% of whom will go on to make a suicide attempt (Nock et al., Reference Nock, Borges, Bromet, Alonso, Angermeyer, Beautrais, Bruffaerts, Chiu, De Girolamo, Gluzman and De Graaf2008).

However, research has focused on suicidal behaviours, such as completed suicide and suicide attempts and acts of self-harm (SH), while the greater proportion who suffer from ideation have received much less attention, perhaps because it is an elusive, ephemeral and often fluid construct (Jobes and Joiner, Reference Jobes and Joiner2019). It is further complicated by the absence of a universally accepted definition and the breadth of the phenomenon, spanning from a general tiredness of life and desire for death through to active suicide planning, from fleeting thoughts to incessant and disturbing ruminations. Consequently, estimates of both prevalence and the associated outcomes makes comparisons across studies difficult (Berman, Reference Berman2018; Goodfellow et al., Reference Goodfellow, Kõlves and de Leo2019; Harmer et al., Reference Harmer, Lee, Duong and Saadabadi2023). A recent meta-analysis found an overall threefold increased risk of suicide (McHugh et al., Reference McHugh, Corderoy, Ryan, Hickie and Large2019) though noted very high and unexplained levels of between-study heterogeneity which was attributed to differences in methodological design, with studies utilizing structured methods producing weaker associations than those using clinically derived indicators. Furthermore, many studies were based on small study sizes, making robust estimation of the associated risk challenging, or on high-risk groups, making it difficult to generalize to the general population (McHugh et al., Reference McHugh, Corderoy, Ryan, Hickie and Large2019).

However, most patients with SI do not take their lives, and it is notoriously difficult to predict who is most at risk of doing so (Chan et al., Reference Chan, Bhatti, Meader, Stockton, Evans, O’Connor, Kapur and Kendall2016; Steeg et al., Reference Steeg, Quinlivan, Nowland, Carroll, Casey, Clements, Cooper, Davies, Knipe, Ness and O’Connor2018). The high healthcare usage in the period preceding suicide or suicide attempts (Stene-Larsen and Reneflot, Reference Stene-Larsen and Reneflot2019) suggests that healthcare professionals have potential opportunity to identify and intervene in this pathway. However, to date, and with the notable exception of one study (Goldman-Mellor et al., Reference Goldman-Mellor, Olfson, Lidon-Moyano and Schoenbaum2019), there has been little study of patients with SI who present to ED. This is in stark contrast to SH patients for whom recommendation for best practice and care are now included in the National Institute for Health and Care Excellence (NICE) clinical guidelines in England (NICE, 2004; NICE, 2022).

Northern Ireland (NI) has a high prevalence of mental ill-health and the highest rate of SH in the United Kingdom (PHA, 2019) and is unique as it holds the only national registry of individuals with suicidal or SH ideation presenting to emergency departments (EDs). This provides an unparalleled opportunity to explore the association between ideation and subsequent suicide on a population-wide level (Carr et al., Reference Carr, Ashcroft, Kontopantelis, While, Awenat, Cooper, Chew-Graham, Kapur and Webb2016). Previous analysis of the Northern Ireland Registry of Self-Harm (NISHR) shows that the incidence rate for ideation is about half that for SH, and although they share similar age profiles, rates of ideation presentation are higher for males than females (Griffin et al., Reference Griffin, Bonner, O’Hagan, Kavalidou and Corcoran2019). Repeat presentations to the ED with ideation are high, and about one in five ideators will subsequently present with SH over a 5-year period (Griffin et al., Reference Griffin, Kavalidou, Bonner, O’Hagan and Corcoran2020). However, it has not been previously possible to quantify the risk of suicide and other causes of death following presentation to ED with ideation.

The aims of this study were to describe the characteristics of individuals who present with suicidal or SH ideation; to quantify the risk of suicide and other causes of death and to identify, within those presenting with ideation, the factors associated with increased mortality risk. Although suicide is likely to represent many excess deaths in those presenting with ideation, we included additional analyses to include drug and alcohol-related deaths, accidental deaths and deaths from external causes and all-cause mortality.

Methods

Data sources and measures

Data on ideation presentations are extracted from ED records of the 12 hospital EDs that cover the five Health and Social Care Trusts in Northern Ireland. Independently trained data registration officers collect the data in accordance with the standardized criteria. Identifying cases of SH and suicide ideation involve a combination of manually checking consecutive presentations to the EDs, selecting potential cases based on keyword searches and triage coding by hospital staff. Acts of ideation include patients who have experienced thoughts of SH and/or suicide, where no physical act of harm has taken place. Where an act of SH has taken place, are not included in this study. Ideation is only recorded as a binary variable with no further information on character, duration or intensity.

Data items included age at presentation, gender and usual residential address. The relationship between alcohol and suicidal behaviour is well established (Ness et al., Reference Ness, Hawton, Bergen, Cooper, Steeg, Kapur, Clarke and Waters2015), and it is recognized that intoxication can cause difficulties in treatment and management (Griffin et al., Reference Griffin, Arensman, Perry, Bonner, O’Hagan, Daly and Corcoran2018). Alcohol involvement at the time of presentation is ascertained from ED case notes or toxicology reports. The patient’s Health and Care Number (HCN), a unique 10-digit number used throughout the Health Service in NI, is also captured enabling identification of repeat presenters, irrespective of ED of presentation, and linkage to other health services records. The successful identification of ideation presentations and the level of detail recorded for each episode is subject to routine quality checks of clinical records.

For this study, data were extracted for all ideation cases registered between 1 April 2012 and 31 December 2019. These data were linked using the HCN to the National Health Application and Infrastructure Services (NHAIS) system, which contains information on all patients registered with a primary care physician. NI has a universal, tax-financed, free at the point of service healthcare system with almost 100% population registration. NHAIS receives regular updates on date and cause of death from the General Register’s Office, though there are known delays in defining cause of death with cases such as death by suicide that require coronial review (NISRA, 2013). Mortality data were available until 31 December 2019, with deaths by suicide defined as ICD-10 codes, indicating intentional SH (ICD10: X60-X84) and sequalae of intentional SH (ICD10: Y87.0). Drug-related deaths were defined with ICD-10 codes (ICD-10: F11-F16, F18-F19, X40-X44, X60-X64, X85 and Y10-Y14) and alcohol-related deaths with ICD-10 codes (F10; G31.2; I42.6, K70; K73-K74; K86.0; X45; X65 and Y51). Accidental deaths were determined by ICD-10 codes (V01-X59). External deaths were defined as those against which cause of death was recorded under categories V01-Y98 of the ICD-10.

The study cohort consisted of all individuals aged 10+ years (defined on 1 April 2012 [n = 1,662,118]) and resident in NI between 1 April 2012 and 31 December 2019 who were registered with NHAIS. The lower age limit was chosen as ideation is infrequent at younger ages (Griffin et al., Reference Griffin, Bonner, O’Hagan, Kavalidou and Corcoran2019). Individuals who did not present to ED with ideation were used as comparators. The patient’s address was used to append information about the characteristics of the area in which they lived. Urban/rural residence was based on a classification of settlements and grouped into three approximately equal groups: urban (comprising the two largest cities), intermediate or rural (settlements with less than 2,250 people) (NISRA, 2005). Area deprivation was based on the Northern Ireland Multiple Deprivation Measure Income index 2010 and divided into quintiles ranging from least deprived to most deprived (NISRA, 2010). The number of people registered at the same addresses was used to identify single-person households, a recognised risk factor for suicide.

The project was designed in collaboration with the Self-Harm Registry Steering Committee and approved by the Honest Broker Service Governance Board. Ethical approval was granted by the Research Ethics Committee (REC)—REF 19/LO/1601. Only a de-identified research dataset was made available to the named research group on network-isolated computers within a Trusted Research Environment, with additional disclosure control measures, including restrictions on output cell numbers to ensure confidentiality.

Statistical analysis

The characteristics of those presenting with ideation were depicted using descriptive statistics, followed by binary logistic regression. Tests for interaction were employed to determine whether there was any effect modification between individual characteristics and the likelihood of presenting with ideation.

Separate Cox proportional hazards regression models were used to examine the risk of death by suicide, external causes and all-cause mortality among individuals presenting with ideation compared to their peers in the general population with follow-up until 31 December 2019. We extended these models to examine deaths by natural causes, accidental deaths, as well as alcohol and drug-related deaths. ICD-10 codes to categorize each of the outcomes are included in Supplementary Tables S2–S3). Models examining cause-specific mortality were censored at date of death (right censoring) for any causes of death to account for competing risks. Models were further stratified by alcohol involvement at the time of presentation. Incidence of all-cause mortality, of deaths due to external causes and of deaths due to suicide per 100,000 person-years were calculated and stratified by ideation status.

The analysis was then restricted to ideators alone to determine if there were any defining characteristics identifying those most at risk of death by suicide or other causes. Individuals were followed up from the date of first ideation presentation to either death or the end of the follow-up period. Incidence of all-cause mortality, death due to external causes and deaths due to suicide per 100,000 person-years were calculated and further stratified by year of follow-up to examine the relationship between mortality risk and time since presentation.

Reporting

We produced a detailed analysis protocol prior to undertaking the analysis. We followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) and Reporting of Studies Conducted using Observational Routinely Collected Data (RECORD) checklists to guide transparent reporting of this cohort study.

Results

The final cohort consisted of 1,662,118 individuals aged 10+ years. Between 1 April 2012 and 31 December 2019, there were 30,004 ideation presentations by 15,267 individuals. Incidence was highest in younger people, with 10–24 years olds accounting for 38% of individuals presenting to EDs with ideation. The odds of presenting with ideation were higher in males (ORadj = 1.61, 95% CI 1.56, 1.67), individuals from more deprived backgrounds (most compared to least deprived: ORadj = 2.48, 95% CI 2.35, 2.63) and those from urban areas (ORadj = 2.12, 95% CI 2.03, 2.22) (Table 1). Individuals in single-person households were over twice as likely to present with ideation compared to multiple-person households (ORadj = 2.29, 95% CI 2.18, 2.40).

Table 1. Socio-demographic characteristics of individuals in the cohort and likelihood (odds ratios and 95% confidence intervals) of presenting to the EDs with ideation

a Adjusted for sex, age (years), income deprivation quintile, settlement band and single-person household.

Mortality risk associated with ideation

A total of 117,580 cohort members died during the 7-year follow-up period, 1,067 (0.9%) of whom had presented with ideation. There were 5,921 deaths from external causes including 1,352 suicides, of which 7.9% and 12.3%, respectively, were in individuals who presented with ideation (Table 2). Suicide was responsible for 166 (15.6%) of ideator deaths, representing an incidence of 145 per 100,000 persons-years compared to 10 per 100,000 person-years for those with no record of ED-presenting ideation. The risk of suicide was greatest in the months most proximal to presentation, with approximately 36% of all suicide deaths occurring within the first 6 months following index presentation, 50% within 12 months and 63% within 18 months (Supplementary Table S1): the corresponding incidence rates per 100,000 person-years were, respectively, 818, 343 and 328. Almost a quarter of deaths observed among ideators were related to substance use, of which 24% were drug-related and 76% were alcohol-related. The proportion of accidental deaths was also greater among ideators, accounting for 6% of deaths compared to 0.7% of non-ideator deaths.

Table 2. Risk of death from suicide, external causes and all-causes following presentation with ideation, plus stratification of ideators according to the presence or absence of alcohol at time of presentation

a Adjusted for age (years), sex, income deprivation, settlement band and single-person household.

Data represent hazard ratios (HR) and 95% confidence intervals (CIs) from Cox proportional hazard models.

In unadjusted models (Table 2), the risk of suicide in those presenting with ideation was almost 15 times higher than for those with no record of ED-presenting ideation (hazard ratio [HR] = 14.94, 95% CI 12.70, 17.57), though with further adjustment for socio-demographic characteristics, this was reduced to a tenfold difference (HRadj = 10.84, 95% CI 9.18, 12.80). Individuals who presented with ideation also had an elevated risk of death due to external causes (HRadj = 10.65, 95% CI 9.66, 11.74). However, the greatest magnitude of risk was this risk increased for those with drug-related deaths and alcohol-related deaths (HRadj = 15.17, 95% CI 11.36, 20.26 and HRadj = 10.57, 95% CI 9.07, 12.31, respectively) relative to non-ideators. Table 2 shows that with the exception of death by suicide, the excess risk of death from all other mortality outcomes was modified by the presence of alcohol at the time of index presentation. For external, accidental and all-cause mortality, the risk of death was higher for those also presenting with alcohol, with an almost twofold difference in excess all-cause mortality risk (HRadj = 4.00, 95% CI 3.69, 4.34 and 2.30, 95% CI 2.10, 2.52, respectively). As expected, the risk of alcohol-related death was significantly greater among ideators who presented with alcohol in their system (HRadj = 16.51, 95% CI 13.97, 19.53), yet interestingly risk estimates for presentations without alcohol were also significant (HRadj = 4.15, 95% CI 2.98, 5.78). The observed disparities in risk estimates for deaths due to natural causes and drug-related causes with and without alcohol involvement were comparatively less notable.

Risk of death within those presenting with ideation

Table 3 shows that there were few socio-demographic characteristics associated with an increased risk of suicide amongst those presenting with ideation. Although suicide risk was lowest in the youngest age group (10–24 years) and highest at the oldest ages (HRadj = 2.22, 95% CI 1.01–4.90 for those aged 65 years and over), there was no evidence of an age gradient. Male ideators, however, were twice as likely to die by suicide as their female peers (HRadj = 2.15, 95% CI 1.49, 3.11). There was no relationship between mortality risk and either alcohol at presentation, household composition or the urban/rural nature of residence. There was a suggestion of a lower risk of suicide in ideators residing in more disadvantaged areas, though the confidence intervals were wide and crossed unity (HRadj = 0.63, 95% CI 0.38, 1.06 for most compared to least deprived quintile). Those who had presented more than once with ideation had a slightly lower, though non-significant, risk of suicide (HRadj = 0.83, 95% CI 0.59, 1.15).

Table 3. Factors associated with suicide, death by external causes and all-cause mortality following presentation to ED with suicidal ideation

a Adjusted for sex, age at presentation (years), income deprivation, settlement band, single-person household, number of ideation presentations and alcohol involvement.

Data represent hazards ratios (95% CIs) from Cox proportional hazards models.

The pattern for all-cause mortality differed. The eightfold gradient across the age spectrum was much steeper, though the male excess (HRadj = 1.65, 95% CI 1.44, 1.88) was more muted than for suicide risk. A higher risk was now evident amongst those in single-person house (HRadj = 1.42, 95% CI 1.09, 1.86) and amongst ideators with significant alcohol intake at presentation (HRadj = 1.51, 95% CI 1.34, 1.70). There was no relationship between all-cause mortality and deprivation though risk was moderately higher for those in larger conurbations (e.g., HRadj = 1.25, 95% CI 1.05, 1.48 for urban compared to rural dwellers). People who presented with ideation on two or more occasions were also slightly more likely to die from any cause than their peers who presented only once (HRadj = 1.15, 95% CI 1.02, 1.30). The patterns observed in models examining the risk of alcohol-related death were similar with and without adjustment for alcohol involvement at the time of presentation (Supplementary Table S4). Risk of alcohol-related death was significantly higher in those with multiple ideation presentations (HRadj = 1.37, 95% CI 1.03, 1.83), those presenting with alcohol involvement (HRadj = 3.78, 95% CI 2.62, 5.45) and those with increasing age. Male gender was associated with a 38% increased risk with adjustment for socio-demographic characteristics (HRadj = 1.38, 95% CI 1.01, 1.87); however, this was attenuated and lost significance with adjustment for alcohol involvement (HRadj = 1.32, 95% CI 0.97, 1.79). Likewise, there was no significant relationship between mortality risk and either settlement band, household composition or area-level deprivation, with the exception of those living in the most deprived quintile ((HRadj = 0.60, 95% CI 0.37, 0.95). The socio-demographic and area-level pattern for deaths by natural causes (available on request) and deaths by external causes, which also subsumes self-inflicted deaths, lies between the pattern for suicide and that for all-cause mortality risk. We did not identify any statistically significant risk factors for death by drug-related or accidental causes following ideation (available on request), although given the small number of deaths in these categories, it is plausible that this resulted from insufficient statistical power.

Discussion

This study reaffirms that ideation presentations to the ED are a common phenomenon, with an incidence half that of SH (Griffin et al., Reference Griffin, Bonner, O’Hagan, Kavalidou and Corcoran2019) and exhibiting similar demographic and socio-economic characteristics (Corcoran et al., Reference Corcoran, Arensman and Perry2007), though this is probably because ideation often precedes suicidal behaviours such as SH (Klonsky et al., Reference Klonsky, May and Saffer2016). Individuals from multiple-person households were half as likely to present with ideation as those living alone underpinning the protection that co-habitation may offer against SH and suicide (Shaw et al., Reference Shaw, Cullen, Graham, Lyall, Mackay, Okolie, Pearsall, Ward, John and Smith2021).

Patients presenting with ideation were 10 times more likely to die from suicide than their peers (HR 10.84, 95% CI 9.18, 12.80), accounting for more than one-in-ten of all suicide deaths; half of those deaths occurred in the 12 months following ED presentation. Alcohol intake at presentation did not moderate this risk. Our findings are consistent with a recent study (Goldman-Mellor et al., Reference Goldman-Mellor, Olfson, Lidon-Moyano and Schoenbaum2019) that reported a 1-year post-ED presentation suicide incidence rate of 384.5/100,000 for individuals presenting to ED with ideation, which is similar to the 343/100,000 reported in the current study. The threefold increased risk for ideators reported in the recent meta-analysis is lower (McHugh et al., Reference McHugh, Corderoy, Ryan, Hickie and Large2019), perhaps because it was based largely on ideation derived from primary care records or from self-reported structured interviews and thus captures a wide spectrum of individuals experiencing suicidal thoughts (Geulayov et al., Reference Geulayov, Casey, Bale, Brand, Clements, Farooq, Kapur, Ness, Waters, Tsiachristas and Hawton2019; McHugh et al., Reference McHugh, Corderoy, Ryan, Hickie and Large2019). It is likely that individuals presenting to hospital are experiencing episodes of ideation that are more significant in terms of intensity, duration or associated distress and may be associated with greater suicidal intent. This may account for the relative proximity to death in the current study, which is contrasting to other studies such as Berman (Reference Berman2018) who suggest that SI is a better indicator of future rather than proximate risk.

There was, however, little that differentiated ideation presenters who were more likely to take their lives. Suicide risk was twice as likely in males and slightly, though non-significantly, raised amongst those living in more affluent areas. Similar associations have been noted for those presenting with SH (Berman, Reference Berman2018) but, and again as with SH (Chan et al., Reference Chan, Bhatti, Meader, Stockton, Evans, O’Connor, Kapur and Kendall2016; Steeg et al., Reference Steeg, Quinlivan, Nowland, Carroll, Casey, Clements, Cooper, Davies, Knipe, Ness and O’Connor2018), collectively these characteristics are not sufficiently strong or specific to facilitate targeted intervention. This is in marked contrast to the strong association between demographic and socio-economic factors and likelihood of ideation presentation and underscores the disconnection of factors associated with ideation and those associated with transition to suicidal behaviours (Klonsky et al., Reference Klonsky, May and Saffer2016) and the increased need for more studies of truly proximal factors (Berman, Reference Berman2018).

Ideators also had a 10- to 11-fold increased risk of death from external causes. This subsumes the 166 suicide deaths but also includes almost twice as many (n = 300) deaths from other causes, including accidental poisoning, events of undetermined intent, falls, other accidents and deaths due to assault and violence. All-cause mortality risk was also three times higher than expected. Increased mortality from external and natural causes are also recognized sequelae of SH, leading to an estimated 10–30 years of life lost (Bergen et al., Reference Bergen, Hawton, Waters, Ness, Cooper, Steeg and Kapur2012). The causes are probably multifactorial but may be attributable to other concurrent psychiatric disorders (Hawton et al., Reference Hawton, Saunders, Topiwala and Haw2013) and poorly treated physical health problems (Thornicroft, Reference Thornicroft2011). Reverse causation is also possible, that is, that chronic disease per se may increase the risk of both ideation and suicidal behaviours. Risky behaviours such as alcohol and drugs are also associated with SH and ideation (Griffin et al., Reference Griffin, Arensman, Perry, Bonner, O’Hagan, Daly and Corcoran2018). Indeed, Bergen et al. (Reference Bergen, Hawton, Webb, Cooper, Steeg, Haigh, Ness, Waters and Kapur2014) found that individuals presenting to EDs with both SH and alcohol involvement were more likely to die from alcohol-related causes. This accords with the higher excess mortality from external and all-causes in ideators presenting with significant alcohol intake in the current study. Indeed, we observed that death resulting from substance misuse, particularly death from alcohol-related causes, is a significant and prevalent cause of death among individuals who present with ideation, accounting for just under a quarter of all deaths observed. Notably, the risk estimate for alcohol-related deaths among ideators was commensurate with that of suicide risk and this remained significant even when adjustment was made for alcohol intake at presentation. However, death from drug-related causes carried the single greatest cause-specific risk of all outcomes examined in the current study, suggesting that whilst suicide prevention may be the primary focus of interventions aimed at those experiencing ideation, death from other preventable causes should also be considered.

To our knowledge this is the first population-wide study to examine the mortality risk of those presenting to EDs with ideation using data derived from a dedicated registry with validated case ascertainment methods. This circumvents many of the limitations of previous survey-based studies which are subject to responder and recall biases and small sample sizes owing to the rarity of suicide. There are, however, some limitations to consider. The registry only records ideation as a binary, and information about the severity or duration of ideation or the extent of any associated suicidal planning that might provide better identification of those most at risk is absent. The study was based on ED-presenting ideation and therefore of limited generalizability to individuals in the community who experience thoughts of SH or suicide. It was also not possible in the current study to examine the influence of known pre-existing psychiatric disorders, though the Californian study showed that psychiatric morbidity recorded at the ED was not strongly associated with suicide risk in those presenting to EDs with SI (Goldman-Mellor et al., Reference Goldman-Mellor, Olfson, Lidon-Moyano and Schoenbaum2019).

In conclusion, this study confirms that presentations to EDs with SI is an important if neglected public health issue. The increased risk of death in the period following ED presentation suggests that EDs are a critical setting for mental health assessments and a catalyst for community-based care. Previous analysis of SH data (Arensman et al., Reference Arensman, Griffin, Daly, Corcoran, Cassidy and Perry2018) shows that most patients are discharged home following assessment, with only 8% admitted to a psychiatric ward; therefore, the risks of subsequent presentation to the ED with SH are high (Arensman et al., Reference Arensman, Griffin, Daly, Corcoran, Cassidy and Perry2018). However, there are no evidence-based clinical guidelines for ideation presentations as there are for SH (National Institute for Health and Clinical Excellence, 2004; National Institute for Health and Clinical Excellence, 2022), and it is not known if ideation, in the absence of suicide attempts or actual SH, stimulates the same community response, such as access to mental health teams or talking therapies, as SH will.

Supplementary Material

The supplementary material for this article can be found at https://doi.org/10.1017/S2045796023000203.

Data Availability Statement

The data used in this study are available in the Honest Broker Service (HBS) within the Business Services Organisation (BSO), Northern Ireland, but as restrictions apply, they are not publicly available. All proposals to use data are subject to review by an independent HBS Governance Board (HBSGB). Before any data can be accessed, approval must be given by the HBSGB. When access has been granted, it is gained through a privacy protecting safe haven and remote access system. HBS has established an application process to be followed by anyone who would like to access data, which can be found at https://hscbusiness.hscni.net/services/2454.htm.

Acknowledgements

The authors would like to acknowledge the help provided by the staff of the Honest Broker Service (HBS) within the Business Services Organisation (BSO), Northern Ireland. The HBS is funded by the BSO and the Department of Health for Northern Ireland (DoH). The authors alone are responsible for the interpretation of the data, and any views or opinions presented are solely those of the author and do not necessarily represent those of the BSO.

Author Contributions

D.O.R., E.R. and S.M. conceived this study. S.M. drafted the protocol, which was contributed to by D.O.R. E.R. conducted all analyses and S.M. verified the data. D.O.R., E.R. and S.M. drafted the manuscript. All authors contributed to the study design and revised the manuscript for important intellectual content. All authors gave final approval of the version to be published.

Competing Interest

D.O.H. is employed by the Public Health Agency, Northern Ireland, which is a statutory body that commissions health and social care services. In this context, D.O.H. is involved in the commissioning of services for people who self-harm and in the management of the Self-harm Registry. All other authors declare no conflicts of interest.

References

Arensman, E, Griffin, E, Daly, C, Corcoran, P, Cassidy, E and Perry, IJ (2018) Recommended next care following hospital-treated self-harm: Patterns and trends over time. PLoS One 13, .CrossRefGoogle ScholarPubMed
Bergen, H, Hawton, K, Waters, K, Ness, J, Cooper, J, Steeg, S and Kapur, N (2012) Premature death after self-harm: A multicentre cohort study. The Lancet 380, 15681574.CrossRefGoogle ScholarPubMed
Bergen, H, Hawton, K, Webb, R, Cooper, J, Steeg, S, Haigh, M, Ness, J, Waters, K and Kapur, N (2014) Alcohol-related mortality following self-harm: A multicentre cohort study. JRSM Open 5(8), .CrossRefGoogle ScholarPubMed
Berman, AL (2018) Risk factors proximate to suicide and suicide risk assessment in the context of denied suicide ideation. Suicide Life Threatening Behaviours 48, 340352.CrossRefGoogle ScholarPubMed
Carr, MJ, Ashcroft, DM, Kontopantelis, E, While, D, Awenat, Y, Cooper, J, Chew-Graham, C, Kapur, N and Webb, RT (2016) Clinical management following self-harm in a UK-wide primary care cohort. Journal of Affective Disorders 197, 182188.CrossRefGoogle Scholar
Chan, MK, Bhatti, H, Meader, N, Stockton, S, Evans, J, O’Connor, RC, Kapur, N and Kendall, T (2016) Predicting suicide following self-harm: Systematic review of risk factors and risk scales. The British Journal of Psychiatry 209(4), 277283.CrossRefGoogle ScholarPubMed
Corcoran, P, Arensman, E and Perry, IJ (2007) The area-level association between hospital-treated deliberate self-harm, deprivation and social fragmentation in Ireland. Journal of Epidemiology and Community Health 61, 10501055.CrossRefGoogle ScholarPubMed
Geulayov, G, Casey, D, Bale, L, Brand, F, Clements, C, Farooq, B, Kapur, N, Ness, J, Waters, K, Tsiachristas, A and Hawton, K (2019) Suicide following presentation to hospital for non-fatal self-harm in the Multicentre Study of Self-harm: A long-term follow-up study. The Lancet Psychiatry 6(12), 10211030.CrossRefGoogle ScholarPubMed
Goldman-Mellor, S, Olfson, M, Lidon-Moyano, C and Schoenbaum, M (2019) Association of suicide and other mortality with emergency department presentation. JAMA Network Open 2, .CrossRefGoogle ScholarPubMed
Goodfellow, B, Kõlves, K and de Leo, D (2019) Contemporary definitions of suicidal behavior: A systematic literature review. Suicide & Life-Threatening Behavior 49, 488504.CrossRefGoogle ScholarPubMed
Griffin, E, Arensman, E, Perry, IJ, Bonner, B, O’Hagan, D, Daly, C and Corcoran, P (2018) The involvement of alcohol in hospital-treated self-harm and associated factors: Findings from two national registries. Journal of Public Health 40, e157e163.CrossRefGoogle ScholarPubMed
Griffin, E, Bonner, B, O’Hagan, D, Kavalidou, K and Corcoran, P (2019) Hospital-presenting self-harm and ideation: Comparison of incidence, profile and risk of repetition. General Hospital Psychiatry 61, 7681.CrossRefGoogle ScholarPubMed
Griffin, E, Kavalidou, K, Bonner, B, O’Hagan, D and Corcoran, P (2020) Risk of repetition and subsequent self-harm following presentation to hospital with suicidal ideation: A longitudinal registry study. EClinicalMedicine 23, .CrossRefGoogle ScholarPubMed
Harmer, B, Lee, S, Duong, TVH and Saadabadi, A (2023) Suicidal ideation. In StatPearls. Treasure Island, FL: StatPearls Publishing.Google Scholar
Hawton, K, Saunders, K, Topiwala, A and Haw, C (2013) Psychiatric disorders in patients presenting to hospital following self-harm: A systematic review. Journal of Affective Disorders 151, 821830.CrossRefGoogle ScholarPubMed
Jobes, DA and Joiner, TE (2019) Reflections on suicidal ideation. Crisis 40, 227230.CrossRefGoogle ScholarPubMed
Klonsky, ED, May, AM and Saffer, BY (2016) Suicide, suicide attempts, and suicidal ideation. Annual Review of Clinical Psychology 12, 307330.CrossRefGoogle ScholarPubMed
McHugh, CM, Corderoy, A, Ryan, CJ, Hickie, IB and Large, MM (2019) Association between suicidal ideation and suicide: Meta-analyses of odds ratios, sensitivity, specificity and positive predictive value. BJPsych Open 5, .Google ScholarPubMed
National Institute for Health and Clinical Excellence (2004) Self-Harm: The Short-Term Physical and Psychological Management and Secondary Prevention of Self-Harm in Primary and Secondary Care. Leicester: British Psychological Society.Google Scholar
National Institute for Health and Clinical Excellence (2022) Self-harm: Assessment, management and preventing recurrence https://www.nice.org.uk/guidance/ng225/resources/selfharm-assessment-management-and-preventing-recurrence-pdf-66143837346757.Google Scholar
Ness, J, Hawton, K, Bergen, H, Cooper, J, Steeg, S, Kapur, N, Clarke, M. and Waters, K (2015) Alcohol use and misuse, self-harm and subsequent mortality: An epidemiological and longitudinal study from the multicentre study of self-harm in England. Emergency Medicine Journal 32(10), 793799.CrossRefGoogle ScholarPubMed
Nock, MK, Borges, G, Bromet, EJ, Alonso, J, Angermeyer, M, Beautrais, A, Bruffaerts, R, Chiu, WT, De Girolamo, G, Gluzman, S and De Graaf, R (2008) Cross-national prevalence and risk factors for suicidal ideation, plans and attempts. The British Journal of Psychiatry 192(2), 98105.CrossRefGoogle ScholarPubMed
Northern Ireland Statistics and Research Agency (2005). Report of the inter-departmental urban-rural definition group: Statistical classification and delineation of settlements. https://www.nisra.gov.uk/sites/nisra.gov.uk/files/publications/ur_main.pdf (accessed13 June 2022).Google Scholar
Northern Ireland Statistics and Research Agency (2010) Northern Ireland multiple deprivation Measure 2010. https://www.nisra.gov.uk/sites/nisra.gov.uk/files/publications/NIMDM_2010_Report_0.pdf (accessed 13 June 2022).Google Scholar
Northern Ireland Statistics and Research Agency (2013) Suicide Statistics in Northern Ireland: Impact of time taken to investigate the death. http://www.nisra.gov.uk/demography/default.asp31.htm (accessed 13 June 2022).Google Scholar
Public Health Agency (2019) Northern Ireland Registry of Self-Harm: Annual Report 2017/18. https://www.publichealth.hscni.net/sites/default/files/2019-07/NIRSHAnnualReport2017.18finalforpublication_0.pdf (accessed 13 June 2022).Google Scholar
Shaw, RJ, Cullen, B, Graham, N, Lyall, DM, Mackay, D, Okolie, C, Pearsall, R, Ward, J, John, A and Smith, DJ (2021) Living alone, loneliness and lack of emotional support as predictors of suicide and self-harm: A nine-year follow up of the UK Biobank cohort. Journal of Affective Disorders 279, 316323.CrossRefGoogle ScholarPubMed
Steeg, S, Quinlivan, L, Nowland, R, Carroll, R, Casey, D, Clements, C, Cooper, J, Davies, L, Knipe, D, Ness, J and O’Connor, RC (2018) Accuracy of risk scales for predicting repeat self-harm and suicide: A multicentre, population-level cohort study using routine clinical data. BMC Psychiatry 18, .CrossRefGoogle ScholarPubMed
Stene-Larsen, K and Reneflot, A (2019) Contact with primary and mental health care prior to suicide: A systematic review of the literature from 2000 to 2017. Scandinavian Journal of Public Health 47, 917.CrossRefGoogle ScholarPubMed
Thornicroft, G (2011) Physical health disparities and mental illness: The scandal of premature mortality. British Journal of Psychiatry 199, 441442.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Socio-demographic characteristics of individuals in the cohort and likelihood (odds ratios and 95% confidence intervals) of presenting to the EDs with ideation

Figure 1

Table 2. Risk of death from suicide, external causes and all-causes following presentation with ideation, plus stratification of ideators according to the presence or absence of alcohol at time of presentation

Figure 2

Table 3. Factors associated with suicide, death by external causes and all-cause mortality following presentation to ED with suicidal ideation

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