Lec 6/ Ch 10 Flashcards
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
- define civil setting
- 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 = ?
What is Risk Assessment?/violence risk assessment
- assess probability of whether the person will commit violence
- 2 processes in risk assessment (focus = prevention)
- Prediction: identify risk factors for future violence
- Management: dev interventions to reduce future violence
* Focus: treatments to reduce the risk or manage the risk
*
- Management: dev interventions to reduce future violence
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
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)
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
- Study: Followed 100 of these patients released in the community but MH professionals were against
- 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
- Base rate for violence is low
- 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
- Limited # of risk factors studied; there’s many
- 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
- Rs use official crime records as DV (criterion issue)
- 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
- Need to measure more dimensions of violence (how Dv is defined)
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
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 may not be aware of how often those w/ characteristics act violent
- Clinicians are overconfident in risk assessments -> more likely to recommend interventions
- They are not accurate (ex. Dr. Grigson)
- Ex. clinician thinks there is high correlation b/w MD and violence
Approaches to The Assessment of Risk
- 3 methods of risk assessment
- Unstructured clinical judgement: discretion decisions and lack guidelines
* No predefined rules; Risk factors vary across clinicians and cases
- Unstructured clinical judgement: discretion decisions and lack guidelines
- 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
- Mechanical prediction (opp): has predefined rules on what factors to consider, how info is collected, how info is combined to make risk decisions
- 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
- Structured professional judgement (SPJ) – middle ground
- 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
Important Risk Factors
- 4 risk factors
- Historical/static RF
* Past b
* Age of onset- Exception F
* Childhood history of maltreatment - physical abuse/neglect vs sexual abuse
- Exception F
- Historical/static RF
- Dispositional RF
* personality- impulsive & recidivism
- psychopathy & recidivism
- psychopathy + deviant sexual arousal predicts ?
- Dispositional RF
- Clinical RF
* substance use- drug-violence link: direct and indirect effects
- drug-crime link
* MD - public perception vs reality
- psychosis influence
- Clinical RF
- Contextual/ Situational RF
* Lack of social support- Henggler et al: 4 kinds of support
- family relationship
* Access to weapons or victims
- Contextual/ Situational RF
- Terrorist RF
Important Risk Factors
- 4 risk factors
- Historical/static RF: events experienced in the past (ex. criminal history v, history of violence)
- Dispositional RF: traits, attitudes, style (ex. demographic v; age gender, psychopathy)
- Clinical RF: MD symptoms and type
- 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
- Those w/ antisocial b young are more chronic and serious 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 predicts reoffending in many countries, for both sex,
- impulsiveness & psychopathy are associated w/ more risk of crime and violence
- 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
- Instrumental – provide necessities of life
- Emotional – give strength
- Appraisal – give aid or courage
- Info – give new facts
- Study: relationship b/w offender w/ MD and family is related to violence
- Henggler et al 1998
- Access to weapons or victims
- increases chance for violent recidivism (actuarial observation)
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
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)
Unique Sub-populations of Offenders
- criminality
- can we apply risk assessment tools for Caucasian male offenders to them
- 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
- Protective factors
- 3 limitations of risk assessment
- desistance
- 4 reasons for desistance
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
- may be related to “good” work or “good” marriages
- Parole
- does it reduce length of sentence?
- is it automatically granted?
- Purpose
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.