Lec 6/ Ch 10 Flashcards

1
Q

What is Risk Assessment?

  • risk assessment
  • 2 parts of the assessment
  • 4 settings they are conducted
    • define civil setting
      • Civil commitment
      • child protection
      • MH professional duty to warn
    • 3 types of criminal settings
  • Solicitor-client privilege

4 Types of Prediction Outcomes

  • true +ve
  • true -ve
  • false +ve
  • false -ve
  • how are errors related
  • Consequences of false +/-
  • Fatal vs non-fatal false +
    • Base rate
  • Base rate problem
  • low base rates = ?
A

What is Risk Assessment?/violence risk assessment

  • assess probability of whether the person will commit violence
  • 2 processes in risk assessment (focus = prevention)
      1. Prediction: identify risk factors for future violence
      1. Management: dev interventions to reduce future violence
        * Focus: treatments to reduce the risk or manage the risk
        *

Risk Assessments: When are They Conducted?

Civil contexts: one’s private rights and the related legal proceedings

  • Civil commitment: hospitalize those w/ MD if they pose PS threat
  • Child protection: protect child from abuse/neglect, gov agency can remove child from parents/guardian
  • Immigration: prevent terrorism
  • MH professionals
    • Duty to warn: need to intervene if patient will act violently

Criminal Settings

  • pretrial, sentencing, release (ex. parole application)
  • Disclose info about potential risk
    • Solicitor-client privilege: lawyers and experts hired by lawyers can freely discuss case w/ clients
    • Public safety outweighs doctor patient confidentiality and Solicitor-client privilege

Types of Prediction Outcomes

  • True +: correct prediction (predicted violent person -> reoffend)
  • True -: correct prediction (predicted not violent -> didn’t reoffend)
  • False +: incorrect (predicted violent -> didn’t reoffend)
  • False -: incorrect (predicted not violent -> reoffend)
  • The errors are related: false positive errors decrease -> false -ve increase
  • Consequences of false +/-
    • False + -> deny freedom; false -ve -> harm public safety (ex. another child harmed by sex offender)
  • False + can be tolerable if cons are not super severe (ex. more supervision on offender when released)
  • False + can be fatal if cons are high (ex. death penalty)

The Base Rate Problem

  • Base rate: % of ppl in pop who commit crime or violence
  • If the base rate is too high/low -> wrong predictions
  • Ex. low base rate -> many false +ve
    • High profile school shootings have lots of media attention, but occur infrequently -> wrongly classify many teens as potential shooters
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2
Q

Baxstrom and Dixon studies

  • Baxstrom v. Herald (1966)
    • ruling on Baxstrom
    • subsequent event
    • study result after following those released against Dr’s advice
  • Dixon v. Attorney, 1971
    • what happened after the case
    • result
  • 2 main findings from the 2 studies
  • Canadian and US courts ruling on risk assessments

Methodological Issues

  • ideal way to eval risk
  • our reality when eval risk
  • Monahan and Steadman 1994
    • 3 weaknesses of rs on prediction of violence
    • MacArthur Violence Risk Assessment Study (base rate for agency records vs collateral/patient records)
A

Baxstrom and Dixon studies

  • Baxstrom v. Herald (1966)
    • US SCC ruled Baxstrom is detained beyond his sentence and released him
    • After this case, 300 MD offenders from psychiatric hospitals were released or transferred to less secure institutions
      • Study: Followed 100 of these patients released in the community but MH professionals were against
        • Only 20 were arrested after 4 years; 7 committed violent offence
        • -> low accuracy of MH professionals predicting violence
  • Dixon v. Attorney, 1971
    • after the case, 400 forensic patients were released
    • only 60 (15%) were arrested/rehospitalized due to violence 3 yrs after
  • Point: MH professionals suck at making accurate predictions of violence -> many patients were locked up for no reason
  • 2 key findings
      1. Base rate for violence is low
      1. False +ve rate is very high (86% and 85%)

Methodological Issues

  • ideal way to eval risk
    • assess a large # of offenders -> release them to community regardless of risk level -> track offenders to see if they reoffend
  • Issue: unethical to release high risk indiv
  • Reality: can only evaluate risk assessment instrument using a low-risk reoffending pop -> conclusions are limited
  • Monahan and Steadman 1994
    • 3 weaknesses of rs on prediction of violence
      1. Limited # of risk factors studied; there’s many
      1. Rs use official crime records as DV (criterion issue)
        * Issue: many crimes are unreported
        * Violent crimes go undiscovered and underestimated (false + → true +)
        * MacArthur Violence Risk Assessment Study
        • Official agency records, base rate of violence =5%
        • patient and collateral reports, base rate = 30% → 6 x higher
        • Collateral reports: info from ppl/agencies who knows patient/offender
      1. Need to measure more dimensions of violence (how Dv is defined)
        * Severity of violence (threat vs severe)
        * Types of violence (spousal vs sexual)
        * Targets of violence (fam vs stranger)
        * Location (institution vs community)
        * Motivation (reactive; unplanned violent response due to provocation) vs instrumental (violence used for a goal)
        * Some risk factors are associated w/ certain forms of violence
        * Ex. history of sexual offences predict future sexual offences, not bank robberies
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3
Q

Judgment Error and Biases

  • illusionary correlation
  • Dr confidence and accuracy

Approaches to The Assessment of Risk

  • 3 methods of risk assessment
    • Unstructured
    • Mechanical
      • Actuarial prediction
    • SPJ
  • Skeem & Monahan 2011
    • Violence risk assessment approaches has 4 components
    • unstructured vs actuarial vs SPJ

Types of Risk Factors

  • Risk factor
  • 2 main types: static, dynamic
  • RF as a cont construct
    • 2 ends
    • middle
A

Judgment Error and Biases

  • Heuristics -> inaccurate decisions
    • Assume some traits are associated w/ risk but are not
  • Illusionary correlation: belief that a correlation exists b/w 2 events that in reality are not or less correlated than believed
    • Ex. clinician thinks there is high correlation b/w MD and violence
      • Inconsistent findings
    • Ex. clinicians ignore base rates of violence
      • Clinicians are may not be aware of how often those w/ characteristics act violent
        • Ex. bizarre delusions may be used as a sign of high risk
    • Clinicians are overconfident in risk assessments -> more likely to recommend interventions
    • They are not accurate (ex. Dr. Grigson)

Approaches to The Assessment of Risk

  • 3 methods of risk assessment
    1. Unstructured clinical judgement: discretion decisions and lack guidelines
      * No predefined rules; Risk factors vary across clinicians and cases
    1. Mechanical prediction (opp): has predefined rules on what factors to consider, how info is collected, how info is combined to make risk decisions
      * Risk factors do not vary across clinicians and cases
      * Actuarial prediction: decisions are based on risk factors selected and combined based on epical or stat association w/ a specific outcome
      • IOW: measured many risk factors -> followed offenders -> only those risk factors related to reoffending in the sample are selected
      • actuarial prediction was equal or better than unstructured clinical judgement
      • Criticism: static risk factors; can’t measure change in risk over time; no info on interventions
    1. Structured professional judgement (SPJ) – middle ground
      * “professional” = assess by diverse professionals (ex. officers, social workers)
      * Decisions are guided by a predetermined list of risk factors that are selected from rs and professional lit
      * Judgement of risk lv is based on evaluator’s professional judgement
      * Rs still ongoing on actuarial vs SPJ which is more accurate
  • Skeem & Monahan 2011
    • Violence risk assessment approaches has 4 components
    • Not all assessment hv them all
    • A. Identify empirically valid risk factors
    • B. Determine a method for measuring these risk factors
    • C. Establish a procedure for coming scores on the risk factors
    • D. produce an estimate of violence risk
  • Unstructured clinical judgement = none
  • Actuarial = all
  • Structure professional judgement
    • Yes: identify and measure risk factors
    • Vary: combine and produce risk factors

Types of Risk Factors

  • Risk factor: measurable feature of a person that predict future violence
  • 2 main types: static, dynamic
    • Static RF (historical risk factors) do not fluctuate over time, don’t change by treatment (ex. age)
    • Dynamic RF (criminogenic needs): fluctuate over time, will change (ex. antisocial attitude – treatment can change this)
  • Rs now conceptualize risk factors as a cont construct
    • One end = static risk factors
    • other end = acute dynamic risk factors
      • Acute dynamic RF: change rapidly w/in days, hrs, min, prior to offence (Ex. -ve mood, lv of intoxication)
      • Middle = stable dynamic RF
        • change only over mo, yr
        • target for intervention
        • Ex. criminal attitudes, coping ability, impulse control
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4
Q

Important Risk Factors

  • 4 risk factors
      1. Historical/static RF
        * Past b
        * Age of onset
        • Exception F
          * Childhood history of maltreatment
        • physical abuse/neglect vs sexual abuse
      1. Dispositional RF
        * personality
        • impulsive & recidivism
        • psychopathy & recidivism
        • psychopathy + deviant sexual arousal predicts ?
      1. Clinical RF
        * substance use
        • drug-violence link: direct and indirect effects
        • drug-crime link
          * MD
        • public perception vs reality
        • psychosis influence
      1. Contextual/ Situational RF
        * Lack of social support
        • Henggler et al: 4 kinds of support
        • family relationship
          * Access to weapons or victims
  • Terrorist RF
A

Important Risk Factors

  • 4 risk factors
    1. Historical/static RF: events experienced in the past (ex. criminal history v, history of violence)
    1. Dispositional RF: traits, attitudes, style (ex. demographic v; age gender, psychopathy)
    1. Clinical RF: MD symptoms and type
    1. Contextual/ Situational RF: aspects of indiv’s env that (ex, access to victim and weapons, lack of social supports)

Terrorist RF

  • There are no unique risk factors among violent terrorist
  • Also, they do not have the same risk factors as general offenders

Historical Factors

  • Past b: most accurate b of future b (ex. violence)
  • Age of onset:
    • Those w/ antisocial b young are more chronic and serious offenders
      • 50% of male youth convicted of violence offence in early adult
      • Age onset is not as strong of predictor for F offenders
  • Childhood history of maltreatment
    • Having a history of physical abuse/neglect is associated w/ increased risk of violence
    • Widom 1989
      • Those who were victims of sexual abuse were no more likely than those who were not sexually abused to commit offences
      • Those who were victim of physical abuse/neglect were more likely to commit crime compared to those who were not

Dispositional Factors

  • Personality characteristics
    • impulsiveness & psychopathy are associated w/ more risk of crime and violence
      • High impulsivity (low SC) → recidivistic
      • Psychopathy: callous (insensitive), grandiose, manipulative, lack remorse, impulsive, irresponsible
        • Psychopathy predicts reoffending in many countries, for both sex,
          • Weakly or unrelated to violent reoffending in female teens
  • psychopathy + deviant sexual arousal predicts sexual recidivism (recidivism rate = 70%; vs others = 40%)
    • Deviant sexual arousal = preference for inappropriate stimuli (ex. kids, violent nonconsensual sex)

Clinical Factors

  • Substance use
    • Drug and OH use are associated w/ crime and violence
    • Drug-violence link
      • direct effects (from drug on brain) and indirect effects (use violence to get drugs)
    • Drug-crime link
      • Heroin & crack is most associated w/ crime
      • some drugs: more taken = more crime
      • OH and drug use mod related to recidivism
      • Those w/ substance abuse diagnosis, rate of violence for men (22%) and women (17%)
      • Sexual risk -> associated w/ drug use
      • Point: MD predict minor drug use; high risk b were predicted by polysubstance abuse
  • MD
    • Public thinks MD and violence are related
    • Most ppl w/ MD are not violent
    • Those w/ affective disorders and schizo are linked w/ higher rates of violence
    • Those w/ suicide attempts and self-harm b were more likely to engage in verbal and physical aggression to others
    • Psychosis (knowing what’s real or not) → 50-70% increase in the odds of violence

Contextual Factors

  • Lack of social support
    • Henggler et al 1998
      • 4 kinds of support
        1. Instrumental – provide necessities of life
        1. Emotional – give strength
        1. Appraisal – give aid or courage
        1. Info – give new facts
    • Study: relationship b/w offender w/ MD and family is related to violence
  • Access to weapons or victims
    • increases chance for violent recidivism (actuarial observation)
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5
Q

2 myths Risk Assessment

  • do they provide objective info
  • is there clear consensus on which assessment is used

Risk-Assessment Instruments

  • Hanson & Thornton static 99
    • what it predicts
    • type of RF (SPJ/actuarial/unstructured)
  • Webster et al HCR-20
    • what it predicts
    • type of RF (SPJ/actuarial/unstructured)
    • 3 main scales
  • Campbell et al 2009
    • Results: instruments’ predictive effectiveness: effect ?
    • HCR-20 & institutional violence: effect?

Theory -Coping relapse model of criminal recidivism

  • 3 parts
A

2 myths

  • Risk statement may not provide objective info on an offender’s risk to offend
    • ranking of low, mod, high labels can mean diff things in diff contexts
  • There is no clear consensus among rs as to which type of risk assessment should be used (ex. actuarial vs SPJ)

Risk-Assessment Instruments

  • Hanson & Thornton 1999 - static 99
    • predict sexual recidivism,
    • actuarial scale; static items
    • Score = 0-12; 10 item, actuarial scale
    • Scores has 4 risk categories: low, mod-low, mod-high, and high
    • Items
      • Young age at time of release
      • Ever lived w/ intimate partner
      • Prior nonsexual violent convictions
      • # of prior sex offences; sentences
      • Any male victims; unrelated victims; stranger victims, noncontact sex offences; index nonsexual violent convictions
  • Webster et al 1997 - HCR-20
    • predict violent b
    • SPJ approach
    • list of 20 items organized into 3 main scales that align RF into
      • Past (historical)
      • Present (clinical)
      • Future (risk management)
      • 1 Historical (static nature)
        • ex. Past violence; age of first violent offence; PD
      • 2 Clinical (current, dynamic RF)
        • ex. Lack of insight; Impulsivity
      • 3 Risk management (future community or institutional adjustment)
        • ex. Exposure to destabilizers; Lv of personal support
  • Campbell et al 2009
    • Meta-analysis – compared predictive effectiveness of several risk assessment
    • Results: effect size: .25 to .3 (strong)
    • HCR-20 (r = .31) , LSI-R were most predictive of institutional violence
  • Yang et al 2010
    • Similar results, each risk assessment tool = good predictors of violence, no tool is superior

Where Is the Theory?

  • Zamble and Quinsey 2007
  • Coping relapse model of criminal recidivism
  • 1st event: env trigger
  • 2nd event: emo and cog appraisal of the event
    • If stressed/-ve emo → cope (good vs bad)
  • 3rd - 2 factors that affect one’s response: indiv and response mech
    • Indiv influences (stable)
    • Available response mech (dynamic)
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6
Q

Unique Sub-populations of Offenders

  • criminality
  • can we apply risk assessment tools for Caucasian male offenders to them
A
  • Subpop hv differences in criminality
  • some risk assessment tools for Caucasian male offenders can be used w/ F and abor; but not always the case
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7
Q
  • Protective factors
  • 3 limitations of risk assessment
  • desistance
  • 4 reasons for desistance
A

What about Protective Factors?

  • Protective factors: factors that mitigate or reduce the likelihood of antisocial acts or violence of high risk offenders
  • Protective factors
    • Prosocial involvement
    • Strong social supports
    • Positive social orientation (ex. school, work)
    • Strong attachments (not to antisocial other)
    • Intelligence

Risk assessment has limitations

  • No method can determine specific risk lv for indiv
  • inconsistent agreement on SPJ’s lv of risk (low, mod high)
  • Measures in one country/pop may not generalize to others
    • risk assessment measures need to be validated in the community they will be used

Why Do Some Individuals Stop Committing Crimes?

  • Desistance: process of ceasing to engage in criminal b
  • Potential reasons
    • may be related to “good” work or “good” marriages
      • Those w/ longer criminal histories are less likely to marry, and tend to marry criminal others
    • Age is related to criminal b: older -> less offending b/c of maturation
    • Insight triggered by -ve events connected to their criminal lifestyle
      • Ex. stupid to chop someone due to smth trivial
    • Social avoidance: avoid situations that make you violent
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8
Q
  • Parole
    • does it reduce length of sentence?
    • is it automatically granted?
    • Purpose
A

Parole in Canada

  • Definition: release of offenders from prison into the community before their max prison sentence is complete.
    • Parole does not reduce the length of a sentence; it affects the way the sentence is served.
    • Allows offenders to serve their sentence in the community under supervision of a parole officer. (help reintegrate in society in some sense)
    • Parole is not automatically granted (need to apply when it is available for you) → Parole Board of Canada makes parole decisions
  • The majority of offenders are serving fixed-length sentences; they will be released once their sentence ends.
  • Parole contributes to public safety by helping offenders re-integrate into society as law-abiding citizens through a gradual, controlled, and supported release with conditions.
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