Introduction
Self-harm, defined as nonfatal intentional self-poisoning or self-injury, irrespective of degree of suicidal intent or other motives [Reference Hawton, Harriss, Hall, Simkin, Bale and Bond1,2], is a major health care problem globally. In England, it involves over 200,000 hospital presentations at a cost of £128 million annually [Reference Geulayov, Kapur, Turnbull, Clements, Waters and Ness3,Reference Tsiachristas, Geulayov, Casey, Ness, Waters and Clements4]. In addition to these immediate hospital costs, there will be other substantial costs both to health systems and wider society [Reference McDaid, Kolves, Sisask, Värnik, Varnik and De Leo5]. Risk of completed suicide is more than 50 times greater in people who present to hospital for self-harm than the general population and especially high in the months following hospital discharge [Reference Geulayov, Casey, Bale, Brand, Clements and Farooq6]. Past studies highlight very high lifetime costs of premature mortality [Reference Kinchin and Doran7,Reference Shepard, Gurewich, Lwin, Reed and Silverman8].
Policymakers have also examined the economic case as part of the development of English national guidelines on suicide prevention [9,10]. There is therefore an economic, as well as moral imperative, to understand not only what works in preventing self-harm and suicide, but also the cost-effectiveness of interventions.
One potential intervention is psychosocial assessment, which is recommended for all hospital presenting self-harm in England [2,11]. On average, around 50–60% of people presenting to accident and emergency (A&E) departments for self-harm receive a psychosocial assessment, although this proportion varies across sites [Reference Cooper, Steeg, Bennewith, Lowe, Gunnell and House12,Reference Leather, O’Connor, Quinlivan, Kapur, Campbell and Armitage13]. Typically carried out by psychiatric liaison staff, this includes assessing patients’ problems, mental state, risk factors and needs, and arranging appropriate aftercare. Investment in greater adherence to guidance on use of psychosocial assessment may help reduce risk of repeat self-harm [Reference Kapur, Steeg, Webb, Haigh, Bergen and Hawton14], as well as having other potential therapeutic benefits.
It may therefore be a cost-effective mechanism from a public health perspective but there is relatively little evidence on the economic case for increasing adherence to guidance.
This study aimed to model the potential cost-effectiveness of psychosocial assessment for hospital presenting self-harm in England compared to no assessment. The work draws on data on hospital presenting self-harm from the Multicentre Study of Self-Harm in England (MSH). This systematically collects data, captured via clinicians and clinical records for all hospital presentations for self-harm in Oxford, Derby, and Manchester. These areas have diverse populations with varied sociodemographic characteristics, and may therefore, provide a reasonably representative picture of self-harm in England [Reference Geulayov, Kapur, Turnbull, Clements, Waters and Ness3].
Methods
Health economic modelling studies are widely used to help determine the potential strength of the economic case for action [Reference Briggs, Sculpher and Claxton15]. Models bring together evidence on effectiveness, resource use, and costs from multiple sources. One of the principal approaches is Markov modelling. It can be used to model uncertain processes over multiple time periods known as cycles and reflect circumstances where individual health and outcomes can fluctuate [Reference McDaid, Thornicroft and Patel16]. Markov modelling has been used by public health agencies in England to support local decision makers, for instance, to develop their mental health promotion and disorder prevention strategies, including work to prevent bullying in schools and suicide in adults [Reference McDaid, Park and Knapp17].
A three-state Markov model has been constructed. The model runs over 2 years with four Markov cycle time periods in total, each lasting 6 months, comparing receipt of psychosocial assessment following each hospital presenting self-harm event to nonreceipt of psychosocial assessment after a self-harm event. Figure 1 provides an overview of the model’s health states, with a more detailed excerpt shown in Supplementary Figure S1. Individuals enter the model when initially presenting at a hospital A&E department following a self-harm event. They may be treated in A&E only or admitted to hospital for treatment and observation. Patterns of treatment and length of stay also vary depending on physical severity of self-harm. The model assumes that in each subsequent cycle there are three possible states: no hospital-presenting self-harm event, a further A&E presentation following self-harm, and death from suicide.
Overview of three-state Markov model.
The primary outcome is quality of life. Utility values are assigned to the three health states and Quality Adjusted Life Years (QALYs) are estimated based on time spent in each health state. Mean costs associated with self-harm events in each cycle were computed. All costs and outcomes are reported in 2020 British pounds (£), discounted at a recommended annual rate of 3.5% after 1 year (i.e., the last two 6-month cycles) [18]. Where necessary, costs have been converted to 2020 prices using GDP Deflators [Reference Treasury19]. Our primary analysis is conducted from the publicly funded English National Health Service (NHS) perspective, but we also report results from a societal perspective taking account of productivity losses to patients when in hospital. No other productivity losses, such as impacts on families or premature death through suicide, are included. Cumulative QALYs and total costs over the model’s 2-year time horizon have been calculated and incremental costs per QALY gained estimated. A CHEERS (Consolidated Health Economic Evaluation Reporting Standards) recommended reporting checklist for health economic studies [Reference Husereau, Drummond, Petrou, Carswell, Moher and Greenberg20] is included in Supplementary Table S1.
Sensitivity analysis and uncertainty
Sensitivity analyses were conducted to assess robustness of results to underlying input parameters and assumptions. In univariate sensitivity analysis, we varied most individual parameters in the NHS perspective model, one at a time, by up to 20% from their mean values. One exception was probability of repeat self-harm after psychosocial assessment. In this case, the variation was greater to reflect conservative values reported in literature [Reference Carroll, Metcalfe, Steeg, Davies, Cooper and Kapur21–Reference Quinlivan, Steeg, Elvidge, Nowland, Davies and Hawton23].
Additionally, we looked at the possible direct impact of psychosocial assessment on suicide. In our baseline model, we assumed no risk reduction, given a lack of evidence [Reference Steeg, Carr, Emsley, Hawton, Waters and Bickley24]; here we examined the impact of risk reduction between 0 and 100%. We further looked at the impact of increasing the value of productivity losses up to £100 per hospital inpatient day.
We also conducted Monte-Carlo simulation, where uncertainty associated with model variables can be estimated from the parameters’ distribution. This is done by randomly sampling values for selected parameters from within their distributions simultaneously and then calculating incremental cost-effectiveness. We repeated this exercise 10,000 times. Following best practice, input parameters were assigned beta, gamma, or log-normal shaped distributions, as appropriate [Reference Boshuizen and van Baal25]. We visually show results on cost-effectiveness planes, where all 10,000 combinations of incremental costs and incremental QALYs were plotted. Additionally, histograms showing distribution of net monetary benefits (NMB) were constructed. The value of each QALY in NMB was assumed to be £20,000, equivalent to the notional willingness to pay threshold per QALY gained used by NICE when making recommendations on the reimbursement of health system interventions [26].
Cost-effectiveness acceptability curves, indicating likelihood of the intervention being considered cost-effective at different thresholds of willingness to pay per QALY gained were generated from NHS and societal perspectives. All analyses are modeled using TreeAge Pro software (TreeAge Software, LLC, Williamstown, MA).
Model parameters
Model parameters and assumptions on distributions in probabilistic sensitivity analysis (PSA) are shown in Table 1. The probability of repeat self-harm in the next model cycle falls from 0.18 [Reference Tsiachristas, McDaid, Casey, Brand, Leal and Park27] to 0.11 after psychosocial assessment, based on observed experience in two of the three hospital groups covered by the MSH where the relative risk of self-harm following psychosocial assessment was 0.59 of the risk without assessment [Reference Kapur, Steeg, Webb, Haigh, Bergen and Hawton14].
Model parameters.
The risk of suicide in the next model cycle also draws on analysis of 13 years of self-harm hospital presentations in the MSH. Risk remained 55 times greater than that of the general population after 12 months [Reference Geulayov, Casey, Bale, Brand, Clements and Farooq6]. Given the lack of evidence, we assumed psychosocial assessment had no direct impact on suicide, but changed this assumption in univariate sensitivity analysis.
On average 21% of A&E attendances arrive by ambulance [Reference Janssen, Szende, Cabases, Ramos-Goñi, Vilagut and König33]. We assumed this applied to self-harm patients, and applied a national tariff to costs [Reference Tubeuf, Saloniki and Cottrell31]. Average costs per psychosocial assessment were taken from detailed analyses in hospitals in Oxford and Derby that are part of the MSH [Reference Tsiachristas, Geulayov, Casey, Ness, Waters and Clements4,Reference Tsiachristas, McDaid, Casey, Brand, Leal and Park27]. This average cost reflects higher costs of assessments for under-18s. Mean treatment costs for self-harm are also taken from previous analyses of costs for admitted and non-admitted patients in MSH Oxford and Derby hospitals. Patterns of self-harm: poisoning or self-injury only or a combination of the two methods, and likelihood of hospital admission following self-harm are also based on rates in the MSH. In the societal perspective analysis, we also assumed a full day of productivity loss for each day of an inpatient stay, based on the average length of stay associated with different injuries. We assumed each productivity loss day would be 7.5 hours, valued at the national living wage rate [Reference Brooks32].
Limited information is available on the quality of life impacts of self-harm, for both adults and adolescents. Previous economic evaluations of self-harm prevention have tended to use quality of life weights associated with specific mental disorders such as depression. Recently, quality of life data on self-harm in 754 adolescents in England were collected using the EQ-5D-3L, an instrument widely used to elicit health-related quality of life values, as part of a trial of family therapy [28]. In line with this trial, we have assumed that each cycle where an individual self-harms will have a quality of life weight (or utility) of 0.68. So, in a single cycle, there are on average 0.34 QALYs associated with experiencing self-harm, with 1.36 QALYs if self-harming in each cycle of the model’s 2-year time horizon. Following usual practice, death was set to a value of 0 [30] while the quality of life weight in cycles without self-harm was assumed equivalent to population norms for adolescents and young adults in England of 0.929 [29]. In sensitivity analysis, we examine the impact of lowering this quality of life weight down to 0.80 given the potential for enduring chronic poor mental health in some people who self-harm [Reference Cottrell, Wright-Hughes, Collinson, Boston, Eisler and Fortune34].
Results
From an NHS perspective adherence to guidance on psychosocial assessment would potentially be cost-effective with a cost per QALY gained of £10,962 (95% uncertainty interval [UI], £15,538–£9,219) (Table 2). When immediate productivity losses restricted only to inpatient time in hospital are also included, incremental cost per QALY gained falls to £9,980 (95% UI, £14,538, £6,938). These are below the notional £20,000 cost per QALY gained threshold that is one of the factors taken into account in deliberations by NICE before making recommendations on the reimbursement of health technologies and public health interventions.
Incremental cost-effectiveness results.
Abbreviations: CI, confidence interval; ICER, incremental cost-effectiveness ratio; NHS, National Health Service; QALY, Quality Adjusted Life Year; UI, uncertainty interval.
Univariate sensitivity analysis
The sensitivity of the incremental cost-effectiveness ratios (ICERs) to individual model parameters are shown as a “Tornado” diagram in Figure 2. This figure shows sensitivity of results to each parameter in a hierarchical order (i.e., the parameter with greatest sensitivity at the top). The figure indicates results are most sensitive to changes in assumptions on likelihood of repeat self-harm following psychosocial assessment. If this risk increases from the baseline value of 0.106–0.130 then the cost per QALY value breaches the £20,000 QALY threshold. If risk of self-harm increased further to 0.15, in line with the most conservative estimate of effect reported in an English study [Reference Carroll, Metcalfe, Steeg, Davies, Cooper and Kapur21], then the cost per QALY would increase to £37,633. The analysis also revealed if utility values for self-harm were above 0.787 or if values for no self-harm fall below 0.816 then cost per QALY is above the £20,000 threshold. Conversely, if utility values for self-harm were 20% lower than in our baseline model, then the cost per QALY gained became more favourable at £7,122.
Tornado diagram. The vertical line shows the mean expected ICER of £10,887 per QALY gained in our base case NHS perspective scenario. Red bar segments indicate that the value of each parameter has increased, while blue segments show parameter values have fallen. Values to the right of the vertical base case scenario line indicate less favourable cost-effectiveness with the cost per QALY increasing compared to the base case scenario, while those to the left indicate an improvement in cost-effectiveness, with the cost per QALY gained reducing. The more sensitive a model parameter is, the higher it is in the diagram, thus risk of self-harm after psychosocial assessment is the most sensitive parameter in the diagram.
If the average cost of psychosocial assessment were to rise by 20% then the incremental cost per QALY would rise to £14,291, or conversely, a similar fall would mean a cost per QALY of £7,484. Assumptions on likelihood of repeat self-harm also have some impact, leading to values of £13,894 and £8,883 following a 20% decrease or increase in repeat self-harm risk in any cycle.
If any direct impact between psychosocial assessment and reduced risk of suicide could be established, this is likely to only have a modest favourable impact on findings; a 20% reduction in risk would reduce the cost per QALY to £10,195. In the unlikely event of a 100% risk reduction, the cost per QALY would fall to £7,973.
The model does not appear sensitive to other parameters, including the costs of providing treatment or likelihood of inpatient admission following self-harm. If the productivity losses of all inpatient stays were included at a maximum value of £100 per day, then the cost per QALY could fall to £9,460—compared with £9,980 when we valued each day at £65.40 using the national living (minimum) wage rate.
Probabilistic sensitivity analysis
Cost-effectiveness planes showing results of probabilistic sensitivity analyses, with 10,000 simulated ICERs are shown in Figure 3. The elliptical circles included 95% of simulations in the model. From the NHS perspective, 78% of simulated pairs of costs and QALYs will have an incremental cost per QALY gained below £20,000. From our societal perspective, this increases to an 81% probability of psychosocial assessment having a cost per QALY gained below £20,000.
Cost-effectiveness planes (NHS and societal perspectives). Green dots represent simulations below the £20,000 per QALY gained cost-effectiveness threshold while red dots represent simulations that are above this threshold and are not considered cost-effective.
Figure 4 shows the distribution of NMB in probabilistic sensitivity analyses from the NHS and societal perspectives. In both cases, these are right-skewed with mean positive NMBs of £200 (95% CI: £189, £758) and £224 (CI: £180, £801) from the two perspectives, respectively. The cost-effectiveness acceptability curves in Figure 5 illustrate that use of psychosocial assessment has a higher probability of being cost-effective than no action if willingness to pay reaches £11,900 or £10,830 from the NHS and societal perspectives respectively. If a higher willingness to pay level of £30,000 per QALY gained was used, something considered appropriate where uncertainty is low [26], then the probability of intervention being considered cost-effective from an NHS perspective would rise to 91%. From a societal perspective at this higher threshold, the chance of being cost-effective would rise to 92%.
Net monetary benefit probability distribution (NHS and societal perspectives 10,000 bootstraps). Strategy 1, psychosocial assessment; Strategy 2, no psychosocial assessment.
Cost-effectiveness acceptability curve (NHS and societal perspectives).
Discussion
Although studies have not been designed to evaluate the effectiveness of psychosocial assessment, some suggest that assessment may be associated with reduced future risk of hospital-presenting self-harm. This may be partly due to receipt of more appropriate subsequent primary and community care, as well as therapeutic benefits of the psychosocial assessment process. This potentially is cost-effective and national clinical guidance on management of self-harm in England recommends psychosocial assessment should be offered to all individuals each time they present at hospital after self-harm [2,11]. Yet, there remains evidence of great variation in receipt of assessment in English hospitals [Reference Cooper, Steeg, Bennewith, Lowe, Gunnell and House12,Reference Leather, O’Connor, Quinlivan, Kapur, Campbell and Armitage13,Reference Cooper, Steeg, Gunnell, Webb, Hawton and Bennewith35].
We believe this is the first economic evaluation specifically on the benefits of increasing use of psychosocial assessment for all hospitals presenting self-harm. Our analysis suggests there is an economic case for adherence to NICE guidance, with a 78% chance from a health service perspective of cost per QALY gained being under the notional £20,000 threshold considered cost-effective by decision makers in England. Likelihood of psychosocial assessment being cost-effective was even higher when taking a partial societal perspective, even without incorporating additional impacts of reduced self-harm repetition on family members or productivity losses associated with completed suicide.
Our findings are consistent with the analysis of immediate impact of extending hours of a liaison psychiatry service at another English hospital, with a view to increasing the number of individuals who received psychosocial assessment [Reference Opmeer, Hollingworth, Marques, Margelyte and Gunnell36]. After liaison psychiatry service hours were extended the proportion of individuals attending A&E following self-harm who received psychosocial assessment increased from 57 to 68%. The additional costs of liaison psychiatry were partly offset by a 14% reduction in hospital costs for self-harm management. That study also observed a plausible 20% reduction in future risk of hospital presenting self-harm, but was not sufficiently powered to detect any significant effect on self-harm rates. Analysis in Scotland of a very brief hospital administered psychological therapeutic intervention immediately after self-harm was also shown likely to be cost-effective, particularly for individuals with a history of self-harm [Reference O’Connor, Ferguson, Scott, Smyth, McDaid and Park37].
Strengths of our modelling analysis include reliance on a large dataset across multiple hospitals where robust methods are used to identify all self-harm presentations regardless of whether these result in hospital admission [Reference Geulayov, Kapur, Turnbull, Clements, Waters and Ness3]. We have also made use of detailed costing analyses from this dataset to estimate costs of psychosocial assessment and immediate treatment [Reference Tsiachristas, McDaid, Casey, Brand, Leal and Park27]. Conversely, because our model draws on data on self-harm presentations from a limited number of locations in England, these may not be representative of patterns of self-harm nationally, but our model was sensitive neither to changes in patterns of self-harm nor in rates of inpatient admission.
We also recognise that there appears, understandably, to have been no specific randomised controlled study looking solely at the role of psychosocial assessment in directly reducing future risk of self-harm. The magnitude of any therapeutic impact of psychosocial assessment on relative risk of repeat self-harm may vary considerably, depending, for example, on its quality. Our baseline probability of repeat self-harm after psychosocial assessment of 0.11 draws on data from two of the three hospital groups covered by the MSH that had a relative risk reduction of 0.59 following psychosocial assessment [Reference Kapur, Steeg, Webb, Haigh, Bergen and Hawton14]. However, this might represent a “best case” scenario; our parameters might not be applicable to hospitals that, contrary to national guidance, only offer assessment to a minority of people who present with self-harm. In the third MSH hospital group, fewer than half of episodes resulted in assessment, with no discernible association with self-harm rates. Other studies have reported more conservative impacts. One study reported a relative risk of 0.7 for repeat self-harm, but this was based on experience in just one of the MSH, making its generalisability more limited [Reference Pitman, Tsiachristas, Casey, Geulayov, Brand and Bale22]. Another English study using cohort data from three hospitals reported a relative risk of 0.82, but cautioned the estimate could be biased because of limitations in use of the instrumental variables methodology [Reference Carroll, Metcalfe, Steeg, Davies, Cooper and Kapur21]. A previous modelling analysis, looking at “risk scales” as part of a hospital assessment process, assumed a relative risk of 0.8 for individuals receiving a psychosocial assessment [Reference Quinlivan, Steeg, Elvidge, Nowland, Davies and Hawton23]. In our sensitivity analysis, the results were most sensitive to changes in the probability of repeat self-harm following psychosocial assessment (Figure 2). This needs to be 0.13 or lower (equivalent to a relative risk of 0.73 for repeat self-harm) for the intervention to be considered cost-effective from a health system perspective at a cost per QALY threshold of £20,000.
It is also important to acknowledge, based on the earlier MSH study [Reference Kapur, Steeg, Webb, Haigh, Bergen and Hawton14], that psychosocial assessment might be less effective, and therefore less cost-effective in the context of material deprivation and health inequalities. Further work to better understand these impacts and consider how a variety of clinical and social interventions in these settings to manage self-harm and to encourage engagement with services is needed. That said, if there was an increase of up to 20% in relative risk of self-harm for those with the highest levels of deprivation, in line with observations in the earlier study, our model indicates the intervention would still be cost-effective at £18,344 per QALY gained.
Considering how cost-effectiveness is linked to individual patient history merits future investigation. In our model, we have held the likelihood of each psychosocial assessment reducing the risk of future self-harm constant; evidence remains limited but differences in past patient history, including receipt of multiple psychosocial assessments, may improve the level of risk reduction [Reference Pitman, Tsiachristas, Casey, Geulayov, Brand and Bale22]. Economic analyses could also look at the relative cost-effectiveness of measures to improve quality and/or fidelity to psychosocial assessment processes, especially for initial hospital presentations. To do this, however, more information is needed on the quality of the psychosocial assessment process, as well as content, skills, and formulation; this has not been a feature of previous analyses [Reference Taylor, Hawton, Fortune and Kapur38].
Our sensitivity analysis indicates the model is sensitive to assumptions about quality of life. Few studies have elicited quality of life values for hospital-presenting self-harm; we were able to use quality of life estimates collected as part of an English trial of family therapy following self-harm, but this study only examined quality of life of adolescents [28]. However, we identified another English study where quality of life scores following self-harm were lower, but that study only included adult psychiatric inpatients [Reference Haddock, Pratt, Gooding, Peters, Emsley and Evans39]. Conservatively, we have also not included impacts on quality of life or productivity losses of the family and friends of individuals who self-harm.
Our modelling analysis considered the impact on immediate assessment and treatment costs in hospital; future analyses need to examine impacts on longer-term contact with primary and specialist community mental health teams. Success in reducing self-harm and suicide will partly depend on the longer-term care and support individuals receive. Psychosocial assessment may increase the likelihood that individuals make use of appropriate services, and these costs have not been included. However, some of these costs are likely to be for the treatment of physical and mental health problems unrelated to self-harm behaviour. The extent to which these knock-on costs explicitly link with self-harm needs to be investigated.
This need for future work to look at long-term health service utilisation has also been highlighted in other comparable studies [Reference Opmeer, Hollingworth, Marques, Margelyte and Gunnell36]. One previous English study looking at long-term health and social care service utilisation of a small number of individuals following an initial self-harm event suggests that continuity of care may be relatively modest; average cumulative costs per individual of over 7 years were £3,991 (2020 prices) [Reference Sinclair, Gray, Rivero-Arias, Saunders and Hawton40]. This study also reported much higher costs for individuals with multiple repeat events. This suggests that if future risk of self-harm is reduced through psychosocial assessment, then we may have omitted future avoided costs through better self-harm management and underestimated the economic case for psychosocial assessment. Including long-term costs beyond the health sector would also strengthen the economic case, with one recent Canadian analysis pointing to substantial long-term impacts on lost lifetime earnings linked to self-harm [Reference Orri, Vergunst, Turecki, Galera, Latimer and Bouchard41].
Conclusions
Psychosocial assessment as implemented in the English NHS is likely to be cost-effective. However, further evidence about the precise impact of psychosocial assessment on self-harm repetition, as well as quality of life benefits of self-harm avoidance and costs to individuals affected by self-harm and their families beyond immediate hospital stays, is still needed. Given variable adherence to guidelines in England, it is also imperative to explore the cost-effectiveness of mechanisms that could change health care professional practice to better improve adherence.
Supplementary Materials
To view supplementary material for this article, please visit http://doi.org/10.1192/j.eurpsy.2022.5.
Data Availability Statement
Individual patient-level from the Multicentre Study of Self-Harm will not be available due to confidentiality and data-sharing agreements in place.
Author Contributions
Conceptualization: D.M., A.-L.P., A.T., K.H.; Formal analysis: D.M., A.-L.P., A.T., F.B., D.C., G.G., N.K., J.N., K.W., K.H.; Investigation: D.M.; Methodology: D.M., A.-L.P., K.H.; Software: D.M.; Writing—original draft: D.M., A.-L.P.; Writing—review and editing: D.M., A.-L.P., A.T., F.B., D.C., C.C., G.G., N.K., J.N., K.W., K.H.
Financial Support
The Multicentre Study of Self-Harm in England is funded by the Department of Health and Social Care. No other financial support was received.
Ethical Standards
Although this is a modelling study drawing on data from multiple sources it should be noted that the three research sites involved in the Multicentre Study of Self-Harm have approvals to collect data on self-harm for their local monitoring systems of self-harm and for multicentre projects. The monitoring systems in Oxford and Derby have received their approval from local National Health Service research ethics committees (Oxford: South Central Berkshire REC, 08/H0607/7; Derby: Derbyshire REC, 06/Q2401/84) while self-harm monitoring in Manchester is part of a local clinical audit system ratified by the local research ethics committee (South Manchester REC). The three monitoring systems are fully compliant with the Data Protection Act (1998) and have approval under section 251 of the National Health Service (NHS) Act (2006) to collect patient-identifiable data without explicit patient consent.
Conflict of Interest
N.K. and K.H. are members of the Department of Health and Social Care’s National Suicide Prevention Strategy Advisory Group for England. N.K. chaired the committees developing the NICE Guidelines for Self-Harm (Longer Term Management) 2012 and the NICE Quality Standards on Self-Harm 2013. N.K. is currently topic advisor for the new NICE guidelines on self-harm and Chair of the Guideline Committee for the NICE Depression Guidelines. N.K. works with NHS England on national quality improvement initiatives for suicide and self-harm. No other authors have conflicts to declare. The views expressed in this article are the authors’ own and not those of the Department of Health and Social Care, NHS England, or NICE.
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