Chapter 10 The decision-making process
Since we are unable to predict the future, the best we can do is to assess the patient and present reasonable treatment alternatives.1
For example, look at the treatment decisions to be made in the following scenarios.
• If an inpatient is granted home leave, what is the likelihood of him not returning and what might be the consequence? Should he remain in hospital?
• A woman with schizophrenia has not been seen for 4 days. Should the police be asked to look for her?
• An actively suicidal patient does not wish to be admitted to hospital and his family want him treated in the least restrictive environment. Should he be admitted involuntarily?
There is a myth that the decision-making process will determine the outcome.
Clinicians cannot control or predict all the people and circumstances the patient will meet after they have left the office. Tragic outcomes do occur even after good and robust decision-making. Clinicians can only be responsible and expect to be held accountable for the decision-making process and its implementation, not the outcome. Most decisions can be defended if there is a record of having considered the alternatives. If a clinician has conferred with a colleague, and can demonstrate this in the notes, the likelihood of the decision being defensible is even greater. Clinicians should not be held accountable for the contributing factors over which they have no control.
Heuristics
The process of decision-making using insights from the field of cognitive psychology has useful implications for risk assessment and management. Heuristics as a method of decision-making were introduced briefly in Chapter 2. Heuristics are ‘cognitive shortcuts that allow decisions to be reached in conditions of uncertainty’,2 or ‘rules that guide cognitive processing to help make judgments’.3
• Heuristics reduce the time, resources and cognitive effort required to make a decision.4
• They are a feature of mature clinical thinking5 and are useful particularly when time and information are limited.
• Heuristics are more likely to be used when there are situations of high complexity or uncertainty,6 when there is a high cognitive load or a high density of decision-making,7 and when time for individual decisions is short.8
These are all situations when decisions about risk management may be made. However, reliance on heuristics leads to cognitive bias and ‘severe and systematic errors’9 and these have now been termed ‘cognitive errors’10 or ‘heuristic biases’. The opposite process of using heuristics is one of rational-deductive decision-making in which all necessary evidence for and against any potential course of action is carefully examined and weighed. This assumes no bias on the part of the decision-maker and also assumes optimal time and resources.11 Errors are more likely to be made using heuristics than when rational-deductive decision-making is used.
Heuristics can be seen as being closely allied to the concept of intuitive decision-making based on ‘what feels right’ or so-called ‘gut feelings’. The differences between intuition and reason in decision-making can be outlined as shown in Table 10.1.12
Intuition | Reason |
---|---|
Fast | Slow |
Effortless | Effortful |
May be emotionally charged | Emotionally neutral |
Opaque | Transparent |
For many risk decisions made in everyday life, such as whether to cross the road or not, heuristics are used. We have neuropsychological systems responsible for such automatic choices,13 based on habits derived from practice or from cognitive associations that have been learned over time. As is readily apparent, the capacity to make choices quickly has substantial adaptive value, but if the situation has changed subtly or if there are variables that have not been factored in, heuristic biases may creep in. There is a need to check the cognitions that are used for heuristics on a regular basis otherwise errors will creep in because of personal bias. To complicate matters, the use of heuristics is characteristic of doctors with good clinical acumen14 so the best practice that is recommended is that, as far as possible, heuristics should be used consciously with an awareness of their pitfalls.15
Examples of heuristic biases, or cognitive errors16
• ‘What I have experienced is more likely.’ For example, ‘this patient is just like that man I treated last year who ended up killing his father so he must have a very high risk of violence’.
• ‘What I can remember is more likely.’ For example, ‘we have had three patients abscond in the past 6 months; this man seems likely to abscond if we let him out without an escort’.
• ‘What I can easily imagine is more likely.’ For example, dramatic episodes such as a heinous crime by a psychiatric patient can have a disproportionate influence on future decisions.
• ‘What I want is more likely.’ For example, mental health clinicians do not want bad outcomes so they may underestimate the likelihood of a patient being violent.
• ‘What I expect is more likely.’ For example, ‘he seemed very pleasant, so I didn’t ask him about plans to harm other people’.
Other forms of heuristic biases include:17
• Hindsight bias. Ignoring ‘gut feelings’ and not exploring them sufficiently.
• Ignoring relevant factors such as base rates data and contextual factors.
• A tendency to reinterpret difficult situations to resolve cognitive dissonance (see glossary). For example, a diagnosis may be modified so that the dissonance between ‘a public commitment to care for needy people’ and ‘an inability to care for this needy person because of resource constraints’ can be resolved.
The best process for decision-making is likely to be one where heuristics are utilised in conjunction with rational-deductive decision-making. It is not always going to be possible to use a slow, deductive process but, equally, clinicians are not going to be able to take cognitive shortcuts until the slower rational-deductive process has been utilised on many occasions. Once this has occurred, heuristics (i.e. the cognitive shortcuts) can be utilised more frequently, as long as possible biases are considered. When this occurs, heuristics are likely to function maximally. Utilising the risk thermostat (Figure 6.1, page 45) when making decisions about risk may facilitate increased consciousness of heuristics.
For a more complete list of heuristics and their strengths and weaknesses see Crumlish and Kelly (2009).18 For a more detailed exploration of heuristic biases (cognitive errors) when making risk decisions see Carroll (2009).19
The risk/benefit analysis (rational-deductive decision-making)
For junior practitioners or when the possibility of heuristic bias is present, the slower process of rational decision-making can be a very useful option. In this method risks and benefits are carefully considered. The risk/benefit analysis is an iterative process about deciding which treatment option to take. It may occur during the assessment or during management and should be considered as a tool to be utilised whenever uncertainty exists. When the treatment option has been chosen and implemented, the outcome will be reviewed and further options considered in another risk/benefit analysis. This follows the thinking of Carson’s (1996) ‘Risk Path’ in which a series of small ‘steps’ are taken.20 The evaluation should consider the benefits and the opportunities presented by the situation as well as the risk. There will be situations where there will be high risk but also potentially better outcomes. There will also be situations where the obligation to protect society from a potentially violent person is in conflict with the patient’s right to be treated in the least restrictive environment. These situations of cognitive dissonance need to be evaluated carefully.
There are several phrases that are commonly used to acknowledge that a risk has been considered.
• ‘The benefits of taking this course of action outweigh the risks.’
• ‘We need to take risk in the short term for long-term gain.’
• ‘I weighed up the risk factors and made a clinical judgment.’
These are all examples where a risk/benefit analysis has occurred.
In situations where there is risk or a certain amount of trial and error, or uncertainty, ‘thinking out loud for the record’21 can be useful. In the risk/benefit analysis the pros and cons, including known risks, advantages and disadvantages, are carefully documented. The reasons why a certain course of action is taken will then be clear. This will improve transparency should there be a poor outcome, as the decision-making process will have been clearly documented. If there is a claim for negligence in the future, having a documented risk/benefit analysis in the notes can be protective.
• it identifies in detail not just the risks but also the potential benefits which may occur even if a risky pathway is chosen
• competing treatment perspectives can be considered
• sometimes risks which had not been considered come to light when this process is used
• it facilitates group discussion of risk issues and can be a useful therapeutic tool to use with patients and their families
• it allows full documentation of uncertainty and how that is factored into the decision-making
• it can become a forum in which moral, ethical, legal and human rights issues are taken into account.
With reference to the last bullet point, in the majority of cases, clinical, ethical and legal concerns are aligned. However, the potential for a risk-management pitfall looms when different values in the same system of thought compete, such as when the obligation to protect society from an imminently violent mentally ill person competes with the right to treatment in the least restrictive setting.22
Case example
Caroline is a married woman with two adolescent children. She is in the midst of a severe depressive illness with substantial suicidal intent. This is her fourth episode of depression and each episode has been marked by suicidal intent. She has been admitted to hospital on two previous occasions for brief periods of time but does not want to go to hospital. Her husband is supportive but works in a very busy job. Her parents live locally and give all the support they can. Refer to Table 10.2.
Treatment options | Risk | Benefit |
---|---|---|
(Option 1) Admit to hospital |
• What happens if we do nothing? For example, we don’t prescribe the new medication, we don’t discharge the patient. Are the consequences of not taking the risk poor or detrimental to the patient?
• What happens if we take the risk and the outcome is poor? Can we manage that in advance?
• Can we reduce the level of risk without affecting the outcome of treatment?
• What happens if we take a conservative approach? In the short term the risk may be reduced but in the long term the outcome may be poorer.
• Even if we can’t reduce the level of risk, is it still worth taking the risk? For example, if we get a better outcome.
• Can the risk be managed in this setting?
• What is the cost in terms of: resources, the patient, the therapist, the team, the company, financial?
• Does it increase the risk to others?
• Do we need to manage the risk now or can we plan how to manage it in ‘x’ days?
• Is the acute management the same as the longer-term management?
• Does the risk management enhance the treatment of the patient?
• Is my anxiety about the patient affecting my decision-making?
BOX 10.1 RISK/BENEFIT ANALYSIS
• The process of balancing risk and benefit must be carefully documented.
• At times it is necessary to take risks in order to achieve the desired outcomes even if the level of risk is high. The other outcome may be chronicity or deterioration of the illness.
• It may be necessary to take short-term risks for long-term gain.
• A risk/benefit analysis brings the risk firmly into the context of the patient’s illness.
• A risk/benefit analysis allows for consideration of protective factors.
• A risk/benefit analysis allows for consideration of a balance between civil liberties and public protection.
Exercise 1 — Colin (continued)
Refer to Chapter 9, exercise 3 (page 77) and exercise 6 (page 82) for Colin’s story thus far.
At the end of the interview, Colin has declined to take any medication and is making it clear to you that he does not need any further treatment and he can sort all his problems out on his own. You feel that you have developed a reasonably good rapport with him and he has said that he will come back to see you in a few weeks to let you know how he is going. On the other hand, you are concerned about the possibility of him acting on his delusional preoccupations and wonder if he needs to be brought into hospital for treatment involuntarily. He says that he can control his anger and will not be violent.
Complete a risk/benefit analysis for Colin (Table 10.3). The completed risk/benefit analysis chart appears in Appendix 3.
Management and treatment possibilities | Risk | Benefit |
---|---|---|
Admit to hospital involuntarily | ||
Arrange follow-up sooner than the few weeks that Colin has suggested |
Comment
The example of Colin is a common clinical scenario and the risk/benefit analysis will often throw up the same risks and benefits. However, the treatment option chosen will be dependent on many other variables at the time. In the acute situation and when dealing with a patient who is unknown, it is often difficult identifying dynamic risk factors. Most clinicians would prefer to undertake a fuller risk assessment in this type of situation before moving on to the risk/benefit analysis but if Colin is keen to walk out, there may be some pressure. The clinical tip in Box 10. 2 may help although caution is advised as it relies to a large degree on inference on the part of the clinician.
Exercise 2 — Fred
Fill in the risk/benefit chart in Table 10.4. The completed chart appears in Appendix 3.
Management and treatment possibilities | Risk | Benefit |
---|---|---|
Continue with Haldol | ||
Start clozapine |
Exercise 3 — Jane
Jane is a 32-year-old married woman who is 12 weeks pregnant. This is her first pregnancy. She is currently in a medical ward where she was admitted over the weekend as she had concerns about her pregnancy. The doctors have asked you to assess her as they are concerned about her mental state. When you see her, she is in a single room and her husband and her parents are also present. She immediately tells you that there is nothing wrong with her and that she has never felt better. When you ask her the reason for this, she says that since the angels came to visit her, everything has been all right. She then expands on this and tells you that the room is so full of angels that she wonders how you have been able to get into the room. She then tells you that you are the best angel of them all as you have the biggest wings! Her husband tells you that she has been like this for 5 days but says that she has been slightly different for the last 2 weeks. Although there is no past history of anything like this, her mother tells you that Jane had a brief psychotic episode 8 years ago which did not require hospitalisation and settled within 2 weeks. None of the family nor Jane can remember if she needed medication on that occasion. On talking to her further, there are no other symptoms and signs of psychosis and she does not seem to be suffering from a mood disorder. She is slightly preoccupied with the various angels in the room but other than this, you can detect no other abnormalities on mental state examination. The medical staff have cleared her and say that she can be discharged from their ward.
Do a risk/benefit analysis for as many management and treatment options that you can think of. Use the same chart format as per Table 10.4. The completed chart appears in Appendix 3.
Exercise 4 — Roger
Roger is a 32-year-old architect who has worked extremely hard to obtain a senior position in a big firm in the city. He came from a well-to-do family but was sexually abused by an uncle for 2 years between the ages of 8–10. He had been in a stable relationship with his partner, Joanne, for 3 years but this broke down 9 months ago when she was unfaithful. Roger became depressed initially but this revealed underlying traits of borderline personality disorder (BPD). Roger has taken several major overdoses and has been admitted to hospital on each occasion. He is currently in the inpatient ward and has self-harmed on one occasion in the ward and taken one overdose whilst on day leave. Complete a risk/benefit analysis, considering whether Roger would be better off staying on the ward longer or if his treatment should continue in the community. Use the same chart format as per Table 10.4. His depression is currently well treated and in remission. The completed chart appears is in Appendix 3.
Exercise 5 — alcohol and drug example (Gillian)
Complete a risk benefit analysis about whether to continue with methadone treatment. Use the same chart format used in the previous risk/benefit exercises. There are likely to be more than two treatment possibilities. The completed chart appears in Appendix 3.
1 Miller M.C., Jacobs D.G., Gutheil T.G. Talisman or taboo: the controversy of the suicide-prevention contract. Harvard Rev Psychiatry. 1998;6:78–87.
2 Crumlish N., Kelly B.D. How Psychiatrists Think. Advances in Psychiatric Treatment. 2009;15:72–79.
3 Goldbloom D. Psychiatric Clinical Skill. Sydney: Elsevier Australia; 2003.
4 Croskerry P. Achieving quality in clinical decision-making: cognitive strategies and detection of bias. Academic Emergency Medicine. 2002;9:1184–1204.
5 Groopman J. How Doctors Think. Illinois: Houghton Mifflin Harcourt International Publishers, 2007.
6 Tversky A., Kahneman D. Judgment under uncertainty: heuristics and biases. Science. 1974;185:1124–1131.
7 Croskerry P. Achieving quality in clinical decision-making: cognitive strategies and detection of bias. Academic Emergency Medicine. 2002;9:1184–1204.
9 Tversky & Kahneman, above, n 6.
10 Crumlish & Kelly, above, n 2.
11 Crumlish & Kelly, above, n 2.
12 Carroll A. How to make good enough risk decisions. Advances in Psychiatric Treatment. 2009;15:192–198.
13 Kahneman D. A perspective on judgment and choice. Mapping bounded rationality. American Psychologist. 2003;58:697–720.
14 Croskerry P. Achieving quality in clinical decision-making: cognitive strategies and detection of bias. Academic Emergency Medicine. 2002;9:1184–1204.
18 Crumlish & Kelly, above, n 2.
20 Carson D. Developing models of risk to aid cooperation between law and psychiatry. Criminal Behaviour and Mental Health. 1996;6:6–10.
21 Gutheil T.G. Paranoia and progress notes: a guide to forensically informed psychiatric record keeping. Hospital and Community Psychiatry. 1980;31(7):479–482.
22 Miller C.M., Tabakin R., Schimmel J. Managing risk when risk is greatest. Harvard Review of Psychiatry. 2000;8:154–159.