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Dynamic Risk Assessment for Sexual Offenders on Community Supervision

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Title: Dynamic Risk Assessment for Sexual Offenders on Community Supervision


1
Dynamic Risk Assessment for Sexual Offenders on
Community Supervision
  • R. Karl Hanson
  • Public Safety Canada
  • Presentation at the 9th Conference of the
    International Association for the Treatment of
    Sexual Offenders, September 6-9, 2006, Hamburg,
    Germany

2
Sex Offender Risk Assessment
  • Static (unchangeable)
  • Prior sexual offences
  • Any extrafamilial victims
  • Age
  • Dynamic (changeable)
  • Stable
  • Intimacy deficits
  • Sexual pre-occupations
  • Lifestyle instability
  • Acute
  • Negative mood
  • Drunkenness

3
  • STATIC
  • Baseline of risk
  • STABLE
  • Treatment targets
  • ACUTE
  • Warning when things could go wrong

4
Hanson, R. K., Bussière, M. T. (1998).
Predicting relapse A meta-analysis of sexual
offender recidivism studies. Journal of
Consulting and Clinical Psychology, 66 (2),
348-362.Hanson, R.K., Morton-Bourgon, K.E.
(2005). The characteristics of persistent sexual
offenders A meta-analysis of recidivism studies.
Journal of Consulting and Clinical Psychology,
73, 1154-1163.Hanson, R. K., Morton-Bourgon,
K. (2004). Predictors of sexual recidivism  An
updated meta-analysis. User Report 2004-02.
Ottawa Public Safety and Emergency Preparedness
Canada.www.psepc-sppcc.gc.ca Corrections
Publications

5
Established Risk Factors (potentially dynamic)
  • Deviant sexual interests
  • Children Paraphilias
  • Sexual preoccupations
  • Antisocial orientation
  • Lifestyle instability, rule violation, APD
  • Attitudes tolerant of sexual assault
  • Intimacy deficits
  • Emotional identification with children
  • Lack of stable love relationships

6
  • Few studies of acute predictors
  • No follow-up studies
  • No single factor is strongly related to sexual
    recidivism
  • How to combine factors?

7
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8
Actuarial Risk Scales for Sex Offenders
  • Empirically derived factors
  • Explicit rules for combining risk factors
  • MnSOST (Epperson et al., 1995)
  • VRAG/SORAG (Rice Harris, 1997)
  • RRASOR (Hanson, 1997)
  • Static-99 (Hanson Thornton, 1999)

9
Conceptual Risk Factors
  • Structured Professional Guidelines
  • Sexual Violence Risk 20 (SVR-20)
  • ERASOR

10
Actuarial conceptual factors
  • SVR-20 adding the factors
  • Stable-2000 (Hanson Harris)
  • SARN (United Kingdom)
  • J-SOAP (Prentky)
  • VRS-SO (Olver Wong)
  • Vermont Treatment Needs and Progress Scale
  • Level of Service Inventory Revised

11
Sex Offender Risk Assessment Validation Studies
(1975-2004)
12
Which approach works best?
13
Prediction of sexual recidivism
14
Actuarial Conceptual (Sex Recidivism)
15
Initial Deviance Assessment/SARN (Thornton)
  • Deviant sexual interests
  • Distorted attitudes
  • Socioaffective functioning
  • Self-management programs
  • Measured by questionnaires

16
(No Transcript)
17
Dynamic Supervision Project
  • Prospective study (2001 2006)
  • Community Supervision Officers
  • Multiple jurisdictions
  • (Canada Iowa Alaska)
  • 997 offenders 41 months follow-up

18
The Dynamic Supervision Project Methodology
  • Static factors assessed once
  • Static-99
  • Stable factors assessed every 6 months
  • Stable-2000
  • Acute factors assessed every supervision
  • Acute-2000

19
STABLE-2000 (Hanson Harris)
  • 1) Significant Social Influences
  • 2) Intimacy Deficits
  • 3) Sexual Self-Regulation
  • 4) Attitudes Supportive of Sexual Assault
  • 5) Cooperation with Supervision
  • 6) General Self-Regulation

20
Acute Factors
  • Victim Access
  • Emotional Collapse
  • Collapse of Social Supports
  • Hostility
  • Substance Abuse
  • Sexual Preoccupations
  • Rejection of Supervision
  • Unique Factor (optional)

21
Reliability
  • Do different officers come up the same score for
    the same offender?
  • Yes
  • Static-99 ICC .91 (/- one point)
  • Stable-2000 ICC .89 (/- two points)
  • Acute-2000 ICC .86 (/- two points)

22
Recidivism Rates as of August, 2006 (41 months
follow-up)
23
Predictive accuracy
24
Sexual Recidivism
25
Sex or Sex Breach
26
Any Violent Recidivism
27
Any New Crime
28
Any Including Breach
29
Acute Risk Factors
  • Short term risk
  • How was the offender since the last time you saw
    them?
  • Timing of new offence

30
Acute -2000
  • 7,090 ratings
  • January, 2001 to May, 2006
  • 178 officers
  • 751 offenders (range 1 70, median 6)
  • Items small to moderately correlated
  • (.14 to .50)
  • Cronbach alpha .72 (7 items), .74 (8 items)

31
Acute Frequencies
  • 1.7 Intervene Now (any 3)
  • 13.6 Definite Problem (any 2)
  • 64.6 Some Problem (any 1)
  • 35.4 No problem (all zero)
  • Total score
  • mean 1.81 (SD 2.3) range 0 - 21

32
Acute Predictors of Sexual Recidivism
  • Victim Access (p lt
    .002)
  • Sexual Preoccupation (p lt .01)
  • Rejection of Supervision (p lt.10)

33
Sexual Recidivism Next Month?
  • If no info 1 out of 440
  • If no acute problems 1 out of 1,240
  • If lots of problems (score 4) 1 out of 167

34
Acute Prediction of Sexual Recidivism
  • ROC .71
  • Month Prior
  • ROC .76
  • Average of all ratings (except month prior)

35
Does Re-Assessment Help? Sexual Recidivism
36
Does Re-assessment Help?Sex or Sexual Breach
Recidivism
37
Concluding Remarks
  • Static, Stable, and Acute Factors all predict
    recidivism
  • What is the best method for combining static,
    stable and acute information into an overall
    evaluation?
  • What is being measured by the Static, Stable and
    Acute factors?

38
Copies/Questions
  • Sandra.Hadden_at_psepc-sppcc.gc.ca
  • Karl.Hanson_at_psepc-sppcc.gc.ca
  • www.psepc-sppcc.gc.caLook under corrections
    publications
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