Presentation on theme: "1 Assessing Dangerousness: Myths and Research Ronald Schouten, MD, JD Associate Professor of Psychiatry Harvard Medical School Director, Law & Psychiatry."— Presentation transcript:
1 Assessing Dangerousness: Myths and Research Ronald Schouten, MD, JD Associate Professor of Psychiatry Harvard Medical School Director, Law & Psychiatry Service Massachusetts General Hospital
2 Overview How we perceive risk and make decisions What do we know about violence? Some specific issues in risk assessment –Domestic violence –Stalking –Public figures Assessing the evidence –Clinician/expert testimony –Screening instruments –Methodology
3 Risk Risk = Likelihood x Severity of consequences
4 How We Make Decisions About Risk (and everything else) Experiential system: Knowing it –Reflexive: Hair on the back of the neck test. –Rapid –Effortless –Often not conscious: I just know it. But can you explain it? –Affect driven
5 How We Make Decisions About Risk Analytic system: Knowing about it –Slow –Algorithmic –Based on normative rules Probability calculus Data-based risk assessment Formal logic
6 How We Make Decisions: Heuristics Emotions make a difference: The Affective Heuristic: –Fear/dread of event correlates with level of risk and perceived probability, e.g. sex offenders –Risk/benefit analysis: Perceived benefit is inversely related to perceived risk, and vice versa –Familiarity: People overestimate the risk of events that are unfamiliar and that they cannot control Ex: Health care workers and SARS
7 How We Make Decisions: Heuristics Availability heuristic: similar events that have occurred within recent memory are seen as more likely to occur Geographic proximity/identification with victims Probability neglect: –When strong emotions are involved, we tend to focus on the severity of the outcome, rather than the probability that the outcome will occur –We tend to overestimate the likelihood of low probability events, and underestimate the likelihood of higher probability events
8 How We Make Decisions: Biases Extremeness aversion Presentation bias: –Proportions and absolute numbers convey more risk than percentages –Narrative accounts convey the most risk Confirmatory bias: we interpret information in a manner that is consistent with our world view Hindsight bias
9 How We Make Decisions: Biases Negative information, e.g. of a bad outcome, –Is rated as more valuable than positive information –Those delivering negative news are seen as more skilled
10 How We Make Decisions About Risk These are all natural and, in most cases, adaptive elements of judgment and decision making, except –When biases unduly shape the outcome –When dealing with novel situations and the usual mental rules of thumb lead us astray
11 What Do We Know About Violence?
12 Increased arousal subtype (Impulsive) Reactive, high affect, irritable, impulsive More co-morbidity with psychiatric diagnoses More responsive to clinical interventions May require containment to begin interventions Ex: Domestic violence, bar fight, road rage, most mental-illness associated violence Subtypes of Violence
14 Subtypes of Violence Proactive Subtype (Predatory), aka Targeted violence Planned Controlled, goal-directed, ego-syntonic May be affective display More socialization to violence Requires more external containment and sanction Ex: Domestic stalker, school or workplace violence
15 Some Examples
16 The Violence Formula Violence is the product of the interaction of: –Individual variables (personality traits, illness) –Environmental variables (whether the environment promotes or dissuades violence) –Situational variables (acute and chronic stress): FINAL Financial Intoxication Narcissistic injury Acute or chronic illness Losses
17 Mental Illness and Violence
18 Traditional Views Public –Individuals with mental illness are at high risk of violent behavior –Mental health professionals assessments of risk are no better than chance Clinicians –The mentally ill are no more likely to be violent than others –Were able to assess risk with sufficient certainty to justify civil commitment
19 Current Research Mental disorder is a modest risk factor when the mentally ill are considered as a group There is a subgroup of individuals with serious mental illness who are at significantly increased risk Psychosis, substance abuse, and antisocial behavior are significant risk factors
20 Severe mental illness alone does not significantly predict future violence; rather, historical, dispositional, and contextual factors are associated with future violence. Elbogen, E. B., Johnson, S. C. (2009). The intricate link between violence and mental disorder. Archives of General Psychiatry, 66 (2),
21 Mental Illness and Violence Individuals most at risk –Individuals with substance abuse/dependence –Psychotic disorders with active symptoms Paranoia or control override History of Oppositional Defiant Disorder as children and/or History of Antisocial Personality Disorder as adults
22 Violent Diagnoses by Group (From Steadman et al 1998) Courtesy Judith G. Edersheim, MD, JD Diagnosis:Percent Violent: Major Mental Illness Without Substance Abuse 17.9% Major Mental Illness With Substance Abuse 31.1% Other Mental Illness with Substance Abuse 43.0%
23 Substance Abuse as a Risk Factor Self report of violence in previous year: DX% None2 OCD11 Bipolar/mania11 Panic disorder12 Major depression12 Schizophrenia13 Cannabis use/dependence19 Alcohol use/dependence25 Other use/dependence35
24 Limitations on the Utility of Studies of the Violent Mentally Ill Applicability to non-clinical populations –Not diagnosed –No diagnosis Applicability of static and dynamic risk factors –Are they the same for patients and nonpatients? –Cultural issues?
25 The Risk Assessment Process Nature of the perceived threat/risk: Targeted vs. impulsive Relationship between actor and victim(s) Manipulation vs.revenge Sources of information Current circumstances Risk factors Records review (including criminal) Interviewif possible Applying the formula
26 Critical to distinguish between: –Historical (static) risk and protective factors Static risk factors cannot be changed Historical risk factors describe risk trajectory May provide actuarial risk against a base rate –Dynamic risk and protective factors Dynamic factors are points for intervention Social, family, community, clinical factors Models of Assessing/Understanding Risk
27 Assessing Risk of Violence Focus: Pose a threat vs. Make a threat - Some who make threats ultimately pose threats - Many who make threats do not pose threats - Some who pose threats never make them - Hunters vs. Howlers
28 Targeted Violence: Domestic and Otherwise Identifying information Background information Current life information Attack-related behaviors Motive? Target selection Communication with target or others? Interest in targeted violence, perpetrators, extremists?
29 Targeted Violence: Domestic and Otherwise History of mental illness? Organized enough to act? Recent loss or loss of status leading to desperation and despair? Actions consistent with statements? Are those who know the subject concerned? What factors in subjects life might increase or decrease risk?
30 Pathway to Violence 6. Attack 5. Breach 4. Preparation 3. Research & Planning 2. Ideation 1. Grievance Calhoun and Weston, Contemporary Threat Management (2003)
31 Specific Situations: Domestic Violence/Stalking
32 Ontario Domestic Assault Risk Assessment Prior domestic assault (against a partner or child) in police.26 Prior nondomestic assault (against anyone other than a partner or child).15 Prior sentence to a term of 30 days or more.28 Prior failure on conditional release (bail, parole, probation, no-contact ord.).25 Threatened to harm or kill anyone during index offense.12 Unlawful confinement of victim during index offense.12
33 Ontario Domestic Assault Risk Assessment (contd) Victim fears repetition of violence.14 Victim and/or offender have more than one child altogether.24 Offender is in stepfather role in this relationship.22 Offender is violent outside the home (to people other than a partner or child).20 Offender has more than one indicator of substance abuse problem.27 Offender has ever assaulted victim when she was pregnant.13 Victim faces at least one barrier to support.11
34 Risk Factors for Violence in Stalking Risk of physical violence in stalking 25-35%; risk of psychosocial harm much higher Prior intimate relationship Threats (different from celebrity cases): 45% of those threatened are assaulted Mental illness: no evidence of clear relationship Substance abuse, especially with other mental disorder Past criminal history(+/-), + if ex-intimate Recidivism associated with: youth, prior intimate relationship, Cluster B personality disorder, absence of psychotic or delusional disorder
35 Assessing the Evidence
36 The Jargon Problem
37 Red Flags in Expert/Clinician Testimony Overstatement of certainty –Full remission –Guarantee –Cured Experiential vs. analytic thinking –Finger in the wind? –Is there data available on the issue? –Was it considered?
38 Screening Instruments? PCL-R (Hare Psychopathy Checklist –Proven reliability and validity –High scores of failed conditional release and recidivism –Possible Daubert problems re study population Projective tests, e.g. Rorschach Inkblot Test?
40 Screening Instruments? HRT-20 –Item categories: Historical, Clinical,Risk management –Max score is 40, but no cutoffs –Clinical and research tool VRAG (Violence Risk Appraisal Guide) –Offers prediction of recidivism by violent offenders –Accepted in some jurisdictions MacArthur Violence Risk Assessment Study –Diverse population of civilly committed patients –Identifies risk of violence within one year of discharge –A work in progress
41 The Great Debate: Actuarial vs. Clinical Given the multiples influences on risk perception, will we put our trust in a pure analytic system? Current standard: risk assessment based upon actuarial risk factors informed by solid clinical judgment that is relatively free of affective heuristics and bias
42 The Misinformation Challenge It aint so much the things we dont know that get us into trouble. Its the things we know that aint so. Artemus Ward (Charles Farrar Browne)