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Psychiatry for General Practitioners Study Days 2017 December 13th 2017 Suicide Risk Assessment Keith Hawton
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Page 1: Suicide Risk Assessmenttvscn.nhs.uk/wp-content/uploads/2017/12/Keith... · Assessment, Not Prediction •The goal is to assess the patient and use information to plan for safety and

Psychiatry for General Practitioners Study Days 2017 December 13th 2017

Suicide Risk Assessment

Keith Hawton

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Psychiatry for General Practitioners Study Days 2017 December 13th 2017

Suicide Risk Assessment: Moving from the Impossible

to Suicide Prevention

Keith Hawton

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The problem of trying to predict risk of suicidal behaviour

Risk prediction does not work

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Prediction of Suicide

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Assessment of risk prior to suicide

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Assessment of risk prior to suicide

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Empirical Data Regarding Those Who Die by Suicide

The majority of patients who die by suicide actually deny having suicidal

thoughts when last asked prior to their death, OR communicate their risk in

more behavioural ways vs. verbal messaging

– Appleby L, et al. BMJ. 1999;318(7193):1235-1239.

– Barraclough B, et al. Br J Psychiatry. 1974;125(0):355-373

– Busch KA, et al. J Clin Psychiatry. 2003;64(1):14-19.

– Chavan BS, et al. Indian J Psychiatry. 2008;50(1):34-38.

– DeLong WB, et al. Am J Psychiatry. 1961;117(8):695-701.

– Hall RC, et al. Psychosomatics. 1999;40(1):18-27.

– Hjemeland H, et al. Soc Psychiatry Psychiatr Epidemiol. 1996;31(5):272-283.

– Isometsä ET, et al. Am J Psychiatry. 1995;152(6):919-922.

– McKelvey RS, et al. Aust N Z J Psychiatry. 1998;32(3):344-348.

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Prediction of Repetition of Self-harm

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Assessment of risk following self-harm

Risk (N) n (%) repeating self-harm

Low (1721) 165 (9.6)

Moderate (1738) 288 (16.6)

High (369) 95 (25.7)

(Kapur et al BMJ 2005)

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Assessment of risk following self-harm

Risk (N) n (%) repeating self-harm

Low (1721) 165 (9.6)

Moderate(1738) 288 (16.6)

High (369) 95 (25.7)

(Kapur et al BMJ 2005)

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11

126 consecutive patients admitted to the John Radcliffe Hospital following self-harm

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A scale developed in 1983 by Patterson et al in Canada for teaching medical students about assessment of suicide risk

Based on the 10 major risk factors for suicide:

Sex (Male)

Age (<19 or >45)

Depression

Previous attempts

Ethanol abuse

Rational thinking loss

Social supports lacking

Organised plan

No spouse

Sickness

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Scoring:

1 point for each factor

0 = very low risk 10 = very high risk

0-2 – send home with follow up

3-4 – close follow up; consider hospitalisation

5-6 – strongly consider hospitalisation

7-10 – hospitalise

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SADPERSONS score < 7

SADPERSONS score ≥7

Referral to

secondary care

(N=69)

65 (94.2%) 4 (5.8%)

Psychiatric inpatient

care (N=5) 4 (80%) 1 (20%)

Repetition of self-

harm within 6

months (N=30)

28 (93.3%) 2 (6.7%)

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SADPERSONS missed:

65/70 referrals to 2o care

4/5 admissions to psychiatric hospital

28/31 who repeated SH at 6/12

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Risk tools and scales

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Risk tools and scales

Risk tools and scales to predict

suicide after self-harm:

• Positive Predictive Value about

5%

• So they are wrong 95% of the

time

• And they miss suicide deaths in

the large ‘low risk’ group

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Risk tools and scales

UK NICE Guidelines (2011)

Do not use risk assessment tools and

scales to predict future suicide or

repetition of self-harm.

Do not use risk assessment tools and

scales to determine who should be

offered treatment or who should be

discharged.

Risk assessment tools may be

considered to help structure, prompt,

or add detail to assessment.

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Limitations of Solely Relying on Risk Factors

The problem with using risk factors to assess the probability of suicide is that they all produce high false negatives.

We have never been very good at predicting the future – especially for low-base rate behaviours.

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What is the best alternative to risk prediction?

• Recognise that risk prediction is a fallacy

• Address patient needs

• Focus on the therapeutic aspects of the assessment

• Use clinical guidelines and make evidence based treatments available

• Individualised assessment which informs management

• Adopt population approaches to prevention – ‘something for everyone’

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Population approach

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Assessment, Not Prediction

• The goal is to assess the patient and use information to

plan for safety and treatment

• The clinician cannot

– Assign weights to risk and protective factors

– Subtract the protective factors from the risk factor, thereby

getting the net suicide risk

• The clinician can

– Use a process of progressive questioning to gather relevant

information to inform a risk formulation that leads to an

individualized intervention

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Suicide Risk Formulation

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A Typical Risk Formulation Approach (Prediction Model)

A Typical Risk Formulation Approach

Variable\Rating Nominal Low Moderate High

Ideation None reported Passive

wishes,

Fleeting

thoughts

Some

thoughts

Active and/or

pervasive

thoughts

Plan None reported

No plan Vague plan Specific plan

Lethality None reported

Low Potentially

lethal

Lethal

Access None reported

Limited Accessible Possesses

Intent None reported

Vague Some Desires to die

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Pisani AR, et al. Reformulating Risk Formulation: From Prediction to Prevention. Acad Psych, 2015.

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Managing risk

Focus on individualised risk reduction in all patients

e.g. - safety planning

- evidenced-based treatments

- therapeutic relationship

- involvement of family and others

- reduced access to means

- clear and communicated plans

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This presentation discusses independent research funded by the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research scheme (RP-PG-0606-1247, RP-PG-0610-10026) and Policy Research Programme. The views expressed in this presentation are those of the author and not necessarily those of the NHS, the NIHR or the Department of Health.

Acknowledgements

Professor Nav Kapur (Manchester)

Dr Morton Silverman (USA)

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Psychiatry for General Practitioners Study Days 2017 December 13th 2017

Suicide Risk Assessment: Moving from the Impossible

to Suicide Prevention

Keith Hawton


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