Risk factors and risk equations

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Chapter 3 Risk factors and risk equations

To recap:

It is now necessary to examine the group of two factors that, when considered together, help determine the likelihood of the event occurring.

Measuring the likelihood of the event occurring is a combination of the static risk factors and the dynamic risk factors. Or put mathematically:

Risk factors1

Risk factors can be divided into two main categories:

In some forensic settings, static factors are referred to as enduring factors and dynamic factors are referred to as variable factors.

Static risk factors are factors that do not change. They are usually laid down either as a result of the patient’s developmental history or are related to the patient’s past external environment. Static factors give an indication of an individual’s longer term propensity for the risk.

Some examples of static factors include:

Lists of risk factors for violence and suicide can be found in Chapter 9 (Tables 9.1 and 9.2, pp 80, 84).

The static factors set the context in which a clinician works.3 Empirically it makes sense that the closer the patient is to these factors in time, the greater the influence they will have. However there is currently no literature available to support this. An extreme example would be of a man who was repeatedly violent in his youth but is now presenting at the age of 75. The weighting given to these factors is likely to be less than had he presented at the age of 25.

Dynamic risk factors are those factors which are more likely to change:

Dynamic factors capture the fluctuating nature of risk. Dynamic factors may change in both duration and intensity. A single event may cause changes to a number of dynamic risk factors creating a change to the overall risk. Assessing the dynamic factors is essential for considering the particular conditions, patterns and circumstances that place individuals at special risk. Hanson and Harris (2000)4 distinguished between stable and acute dynamic factors. Stable dynamic factors (e.g. traits of impulsivity or hostility) are unlikely to change over short periods of time, but can change gradually. In contrast, acute dynamic factors (e.g. drug use and mental state) can change daily or even hourly.

Further understanding of risk factors comes from knowing that certain risk factors are more likely to be relevant to certain types of risks. This knowledge is of immense importance in risk assessment as commonly occurring factors can be looked for. These factors are being refined with increasing research.

It is not sufficient to consider risk factors in isolation and manage them individually. Risk factors can affect each other in various ways. For example, one risk factor may moderate the effect of another or a second risk factor may only become relevant if the first risk factor is present. There are many possible permutations which will need to be formulated by clinicians for each patient. Whenever there are more than two causal risk factors these issues must be considered.5 (A causal risk

factor is one that can be changed by manipulation and when changed can be shown to alter the risk.)

Finally, there will be risk factors that will be specific to individual patients. These have been termed ‘signature risk signs’ by Fluttert (2005). She states:

These personal signature risk signs and patterns of behaviour can be useful concepts for clinicians to consider when assessing patients. The concept of ‘signature risk signs’ has been incorporated into the thinking behind ‘START’, an assessment tool currently being evaluated.7 Along similar lines, the concept of ‘critical risk factors’ is also worth considering. These are 2–3 risk factors which will be of great importance for specific individuals and can be highlighted in management plans as flags for rapid intervention.

Looked at diagrammatically, risk factors can be presented as shown in Figure 3.1.8

When it comes to documenting the risk, this diagram can be referred to. The risk documentation framework used in the book is to a large degree based on this model.

Example 1 — violence risk factors

Jimmy was brought up in a violent household (static factor). He was diagnosed with conduct disorder when 11 (static factor). He is currently experiencing command auditory hallucinations (dynamic factor — mental state) and wants to kill the Prime Minister. He lives down the road from Parliament (dynamic factor — situational) and has stopped his medication (dynamic factor — situational).

When knowledge of the static risk factors is combined with that of the dynamic risk factors, an estimation of the likelihood of the risk occurring can be made. This can be used to help plan an intervention in the here and now. Efforts can then be made to reduce the likelihood of dynamic risk factors occurring again or if they do, early interventions can be implemented.

The synthesis of the static and dynamic risk factors combines to give the current ‘risk state’.9, 10 The risk state is a term used in some literature to describe the likelihood of the risk occurring at a given time.

The graphs in Figures 3.2 and 3.3 help describe the idea of risk being a synthesis of static and dynamic factors. The second graph also shows how the likelihood of the risk occurring can change quickly.

Example 211

Figure 3.2 shows graphically a patient with chronic depression. The patient is a 54-year-old woman who has had recurring episodes of major depression throughout her adult life. Treatment has included antidepressants, supportive psychotherapy and electroconvulsive therapy (ECT). On three occasions she has attempted to kill herself. On the last occasion she was found accidentally by a hunter as she was gassing herself in her car, which was parked deep in the woods. She has a lot of static risk factors: three previous suicide attempts, physical illness, sexual abuse as a child, family history of mental disorder and her own history of mental illness. These leave her especially vulnerable to the risk of relapse and further suicidality if there is a small change in her dynamic factors. This needs to be considered when assessing and managing the risk.

Precipitating events can ‘tip the balance’12 easily into a risk event and may only need to be minor in this example. It may be necessary to review the patient frequently as it will only take a small change in the dynamic factors for the pathway into suicide to be completed. Being mindful of the weighting given to each of the static and dynamic factors is going to be important in the assessment of what it takes for a patient’s suicidal intent to be realised. For individual patients, there are likely to be specific releasing factors (signature risk signs) clustered into two or three critical risk factors that tip the patient over into the risk behaviour.

Example 3

Figure 3.3 shows a very different scenario. This patient is a young man of 25 who is ‘happily married’. He has no previous history of mental illness but does drink in a binge pattern. Over the course of 10 days, he loses his job on day 1, his father has a heart attack on day 5 and his wife confesses she has been having an affair with his brother on day 8! This patient has very few static factors for suicide which would usually pose little risk but over the period of a few days, he has a series of life events which destabilise his mental state and raise the risk of suicide substantially. He has dynamic risk factors of loss, recent adverse events, rage and feeling abandoned. On day 9 the risk peaks and by day 10 there has been some resolution of the dynamic factors and the risk rapidly reduces. In Chapter 9 there is a list of risk factors for suicide (Table 9.1, p 80) which will help when doing assessments.

In this example, the path towards a possible suicide attempt is clear and rapid: close levels of observation and support will be required. In the longer term, however, once the acute episode has settled, it is unlikely that the patient will need the frequency of review which was necessary in example 2.

One of the difficulties in assessing risk within a mental health context is that the likelihood of the event happening (the risk state) is never static. The likelihood will vary with any change in the risk factors.

Thus the word ‘likelihood’ in the equation

is NOT a constant at all but can change daily and even hourly. The likelihood of the risk behaviour occurring will fluctuate with time, context and intervention.

Although the nature of the risk (e.g. in this case violence) is unlikely to change, the likelihood can change enormously. When assessing risk, it is a little bit like making a diagnosis: a diagnosis is only a snapshot in time. A risk assessment is similarly a snapshot in time and its predictive quality weakens with every passing hour and day. A risk assessment will give the indicators and patterns of what makes the risk behaviour more likely to occur. Risk management involves an assessment of the current circumstances whenever the patient is seen. This includes a review of the patient’s mental state and the patient’s external environment; that is, no different to routine and usual clinical practice.

Level of risk

Sometimes clinicians have to work in environments or situations when the levels of risk are described as being high. It is useful not to forget that there can be rewards even when the risks are high; for example, ‘She risked her life to save a friend’. Good treatment may involve living with high levels of risk.

To understand levels of risk, consider an outcome with a very, very low likelihood such as a meteor falling onto earth. This could have very severe consequences (the death of millions). If one was to add the likelihood which is very low and the consequences which are very high, the level would immediately be seen as extreme but when the two factors are multiplied, the event would still be seen as being a low to moderate risk rather than an extreme risk. This is important to understand in mental health work. Many of the risks which occur in this field have substantial consequences but the likelihood of them occurring is often quite low. The ‘base rates’ (the frequency in which an event occurs in a given population) of suicide and violence are both low in the general population and even within the population of mental health patients they are still quite low.

Table 3.1 demonstrates the changeability of the level of risk with fluctuations of likelihood and consequences.

An example from clinical practice is nausea which is a common side effect of the drug naltrexone. The likelihood may be moderate but the consequences are minor so the level of risk is felt to be low.

It is useful at this stage to consider the various components of the level of risk which will lead to a clinician trying to determine whether it is high, moderate or low.

High, moderate or low risk?

Assessments of the level of risk are frequently made in forensic settings when predictions are made for the future. They can also be used in everyday practice to indicate the level in the here and now. Once an assessment is completed, the documentation of the level of the risk can become a big problem. For example, if a patient is described as being a high risk, that may be true one day but not the next. The changeability of dynamic factors is of greatest relevance here. (Obviously, if Andrew from the example on page 24 takes methamphetamine again, the aggressive feelings are likely to return and the level of risk will be higher for a few hours.) Alternatively, a patient with a lot of static risk factors may be a high risk of displaying the risk behaviour at some time in the future and may need closer monitoring. When levels of risk are used in routine documentation, this should automatically generate a degree of monitoring with specified review dates built in to ensure that the level is reviewed. This is routine practice in acute psychiatric units and for a lot of forensic patients. If levels of risk are not clearly defined and standardised, neither the clinicians nor their family will be able to give any meaning to them. One person’s definition will differ from another’s which will lead to confusion.

Using levels of risk may cause problems, however. If a patient is described as being high risk, the label tends to stick and may cause stigma to the patient and prejudice for clinicians; never mind the problems that may arise later when efforts are made to explain management decisions if there is a bad outcome. If a patient is termed high risk, the risk thereafter is of staff being held responsible if the patient converts their risk factors into action. This tends to lead to defensive practice which is not without its own risk. It is important for clinicians to remember to involve the patient and their family in the management of the risk. By designating the risk as being high, there is a tendency for clinicians to take the responsibility away from the patient. This must be guarded against.

Describing a patient as high risk may not be conducive to developing a therapeutic alliance as there will be a tendency to be rejecting of patients. Compliance with treatment will be less likely. The stigma attached to patients if they are categorised as being high risk should be avoided where possible. Another argument to be made against using a focus on level of risk is that resources may be diverted towards those deemed to be at highest risk and away from those with other mental illnesses.13

Risk assessment and management plans should be explicit about the time period for which they are made. To set a valid schedule for assessing and monitoring risk state, a clinician must have a sense for the speed at which an individual’s most important dynamic factors will change.14

Documenting a patient as being ‘high, moderate or low risk’ is an absolute measurement. Using a risk management plan which makes an argument for a certain degree of monitoring when certain conditions are met is more qualitative and relative. Given the ever-changing likelihood of the event occurring, this approach may well be considered to be more useful to general mental health clinicians than absolute statements of level of risk.

Using standardised tools such as the Historical/Clinical/Risk Management 20-item (HCR 20)15 help identify the level of risk but will not necessarily add anything to the meaning of the risk behaviour for the patient, which will be specific to them.

Finally, clinicians, their managers and health trusts run the risk of using levels of risk to become agents of social control.

It is sometimes too easy to say that the patient is high risk and needs to be detained involuntarily without pursuing other options. This is sometimes used as an anxiety reduction tool for clinicians (secondary risk management). The obverse side of this coin is to treat the patient in the least restrictive setting and ignore the risk. Good risk management practice will minimise the likelihood of either of these polarities being taken unwittingly. Remember:

Summary

Exercise — level of risk changing over time

Richard is a 42-year-old man with a severe depressive illness. He presents to the crisis team clutching a knife and tells you that his family would be better off without him.

Two days later, Richard is an inpatient in the psychiatric unit. He is beginning to question whether his family would be better off without him.

Three weeks later, Richard is less depressed. You have had a meeting with Richard’s family and discussed his prognosis and the likelihood of him having a relapse of his depressive illness in the future and the possibility of him committing suicide at some stage in the future.

Refer to Appendix 3 for possible answers.

Notes

1 Bouch J., Marshall J.J. Suicide Risk: structured professional judgment. Advances in Psychiatric Treatment. 2005;11:84–91.

2 Mullen P. Dangerousness, risk and the prediction of probability. In: Gelder M., Lopez-Ibor J.J., Andreasen N.C. New Oxford Textbook of Psychiatry. Oxford: Oxford University Press; 2000:2066–2078.

3 Maden A. Treating Violence: a guide to risk management in mental health. Oxford: Oxford University Press; 2007.

4 Hanson R.K., Harris A.J.R. Where should we intervene? Dynamic predictors of sexual offense recidivism. Criminal Justice and Behavior. 2000;27:6–35.

5 Kraemer H.C. Current concepts of risk in psychiatric disorders. Current Opinion in Psychiatry. 2003;16(4):421–430.

6 Fluttert F. Nursing study of personal based ‘early recognition and early intervention’ schemes in forensic care. Melbourne: Paper presented at 5th Annual Conference, International Association of Forensic Mental Health Services; 2005. April.

7 Webster C.D., Nicholls T.L., Martin M.L., Desmarais S.L., Brink J. Short-Term Assessment of Risk and Treatability (START): The case for a New Structured Professional Judgment Scheme. Behavioural Science and the Law. 2006;24:747–766.

8 Adapted from: New Zealand Ministry of Health 2006 Assessment and Management of Risk to Others Guidelines; Development of Training Toolkit; and Trainee Workbook. New Zealand Ministry of Health. Online. Available: www.mhwd.govt.nz (accessed 12 Oct 2009).

9 Skeem J.L., Mulvey E. Monitoring the violence potential of mentally disordered offenders being treated in the community. In: Buchanan A., ed. Care of the Mentally Disordered Offender in the Community. New York: Oxford Press; 2002:111–142.

10 Douglas K.S., Skeem J.L. Violence risk assessment. Getting specific about being dynamic. Psychology, Public Policy and Law. 2005;11(3):347–383.

11 Adapted from Bouch J., Marshall J.J. Suicide risk: structured professional judgment. Advances in Psychiatric Treatment. 2005;11:84–91.

12 New Zealand Ministry of Health. Guidelines for Clinical Risk Assessment and Management in Mental Health Services. New Zealand Ministry of Health, 1998. p 17.

13 Szmukler G. Risk Assessment: ‘numbers’ and values. Psychiatric Bulletin. 2003;27:205–207.

14 Douglas & Skeem, above, n 10.

15 Webster C.D., Douglas K.F., Eaves D., et al. HCR-20: Assessing Risk of Violence (version 2). Vancouver: Mental Health Law and Policy Institute, Simon Fraser University; 1997.

16 Carroll A. Are violence risk assessment tools clinically useful? Australian and New Zealand Journal of Psychiatry. 2007;41:301–307.

17 Undrill G. The risks of risk assessment. Advances in Psychiatric Treatment. 2007;13:291–297.