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Research ArticleRegular Articles

Validation of the Booth Evaluation of Absconding Tool for Assessment of Absconding Risk

Brad D. Booth, Steve F. Michel, J. Sebastian Baglole, Lindsay V. Healey and Haylee V. Robertson
Journal of the American Academy of Psychiatry and the Law Online September 2021, 49 (3) 338-349; DOI: https://doi.org/10.29158/JAAPL.200084-20
Brad D. Booth
Dr. Booth is Associate Professor, Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada and Psychiatrist, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Michel is Advanced Practice Clinician, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Baglole is affiliated with the Department of Psychology, Carleton University, Ottawa, Ontario, Canada. Ms. Healey is Research Coordinator, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, ON, Canada. Ms. Robertson is Research Assistant, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada.
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Steve F. Michel
Dr. Booth is Associate Professor, Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada and Psychiatrist, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Michel is Advanced Practice Clinician, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Baglole is affiliated with the Department of Psychology, Carleton University, Ottawa, Ontario, Canada. Ms. Healey is Research Coordinator, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, ON, Canada. Ms. Robertson is Research Assistant, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada.
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J. Sebastian Baglole
Dr. Booth is Associate Professor, Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada and Psychiatrist, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Michel is Advanced Practice Clinician, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Baglole is affiliated with the Department of Psychology, Carleton University, Ottawa, Ontario, Canada. Ms. Healey is Research Coordinator, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, ON, Canada. Ms. Robertson is Research Assistant, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada.
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Lindsay V. Healey
Dr. Booth is Associate Professor, Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada and Psychiatrist, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Michel is Advanced Practice Clinician, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Baglole is affiliated with the Department of Psychology, Carleton University, Ottawa, Ontario, Canada. Ms. Healey is Research Coordinator, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, ON, Canada. Ms. Robertson is Research Assistant, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada.
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Haylee V. Robertson
Dr. Booth is Associate Professor, Department of Psychiatry, University of Ottawa, Ottawa, Ontario, Canada and Psychiatrist, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Michel is Advanced Practice Clinician, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada. Mr. Baglole is affiliated with the Department of Psychology, Carleton University, Ottawa, Ontario, Canada. Ms. Healey is Research Coordinator, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, ON, Canada. Ms. Robertson is Research Assistant, Integrated Forensic Program, Royal Ottawa Health Care Group, Ottawa, Ontario, Canada.
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    Figure 1.

    Area under the curve for Booth Evaluation of Absconding Tool (BEAT) total score differentiating absconders and controls.

    Note: versus true controls (TC) indicates BEAT performance in differentiating absconders BEAT scores (Abs-I + Abs-C, n = 176) from those of true controls (i.e., patients who have never absconded, n = 52); versus non-absconds (Abs-C) indicates BEAT performance within absconding patients (Abs) in differentiating Absconding Incidents (Abs-I, n = 120) from random non-absconding time points (Abs-C, n = 56). Dotted line indicates the reference line, where predictive utility is absent or roughly chance.

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    Table 1

    Domains and Constituent Items of BEAT

    HistoricalPast elopement; Deceitfulness; Past substance use; Past impulsiveness
    ClinicalFollows rules; Psychosis influencing risk; Apathy/hopelessness; Substance use urges; Medication nonadherence; Plan to leave; Recent destabilization
    PsychosocialHospital stressors; External stressors; Legal stressors
    AdministrativeHigh-violent index; External contacts; Acute risk to others; Substance use; Extended leave; Media attention; Suicide/harm to patient; Exploitation of patient; Antisociality/criminality
    ProtectiveHospital ties; Insight for consequences; Physical impairment; Psychological impairment; Other protective
    Clinical Judgement/Case FormulationOverall risk; Individual factors/likely scenario; Scoring bias and confidence; Risk management plan
    • BEAT = Booth Evaluation of Absconding Tool

    • View popup
    Table 2

    Demographics of Offender Type, Offense History, Offense Type, and Psychiatric Diagnosis

    AbscondersControls
    Age (at earliest incident), y33.72 ± 10.631.81 ± 6.2
    Male44 (77.2)23 (88.5)
    Offender type
        NCRMD50 (87.7)23 (88.5)
        Unfit4 (8.8)2 (7.7)
        Under assessment0 (0.0)1 (3.8)
        Other/missing3 (3.5)0 (0.0)
        Offense history6.7 ± 8.44.1 ± 8.7
    Most serious offense
        Major assault22 (38.6)8 (30.8)
        Minor assault8 (14.0)7 (26.9)
        Threats5 (8.8)1 (3.8)
        Reckless driving3 (5.3)0 (0.0)
        Arson2 (3.5)2 (7.7)
        Theft2 (3.5)2 (7.7)
        Failure to comply2 (3.5)2 (7.7)
        Homicide2 (3.5)1 (3.8)
        Weapon2 (3.5)1 (3.8)
        Robbery2 (3.5)0 (0.0)
        Sex offense (physical contact)0 (0.0)1 (3.8)
        Other5 (8.8)1 (3.8)
    Diagnosis
        Psychotic disorders38 (70.3)23 (88.5)
        Mood disorders12 (22.2)2 (7.7)
        Substance use disorders39 (72.2)19 (73.1)
        Antisocial traits or disorder6 (11.1)5 (19.2)
    • Data are presented as n (%) or mean ± SD. Absconders: n = 57; Controls: n = 26.

    • NCRMD = not criminally responsible on account of mental disorder

    • View popup
    Table 3

    Breakdown of Number of Absconders, True Controls, and BEATs Codeda

    PatientsBEATs
    Total83228
    True control2652
    Absconder57120
    Absconder control5756b
    • ↵a Number of absconders = Absconder incidents + Absconder controls.

    • ↵b One absconder control was missing a BEAT.

    • BEAT = Booth Evaluation of Absconding Tool

    • View popup
    Table 4

    Characteristics of Unauthorized Leave Incidents

    Age at time of incident, y33.3 ± 10.1
    Absconded from
        Indirectly supervised (grounds)62 (51.7)
        Indirectly supervised (community)18 (15.0)
        Unit16 (13.3)
        Community pass accompanied or with approved person12 (10.0)
        Supervised grounds7 (5.8)
        Overnight pass1 (0.8)
    Location during leave
        Within city limits62 (51.7)
        Outside city limits but in Ontario22 (18.3)
        Home of family or a friend12 (10.0)
        Own home6 (5.0)
        Outside of Ontario4 (3.3)
        Within hospital4 (3.3)
        Shelter3 (2.5)
        Other hospital2 (1.7)
        Use substances (yes)52 (43.3)
        Alcohol34 (65.4)
        Marijuana21 (40.4)
        Cocaine6 (11.5)
        Amphetamines5 (9.6)
        Offend while abscond?6 (5.0)
        Violent offense1 (0.8)
        Victim of violence1 (0.8)
        Attempt or ideation of suicide1 (0.8)
    Return to hospital
        Self51 (42.5)
        Law enforcement45 (37.5)
        Hospital staff14 (11.7)
        Other6 (5.0)
    Time away
        < 30 min8 (6.7)
        0.5–2 h22 (18.3)
        2–6 h25 (20.8)
        6–24 h30 (25.0)
        24–72 h12 (10.0)
        72 h to 1 week7 (5.8)
        > 1 week11 (9.2)
    • Data are presented as n (%) or mean ± SD. N = 120. Study period: April 2009 to December 2016.

    • View popup
    Table 5

    Distribution of Absconding Incidents Among Absconders

    Incidents per AbsconderFrequency
    130
    217
    33
    44
    5+3
    • View popup
    Table 6

    Specific Items Showing Significant Predictive Ability

    ItemOdds Ratiop
    Historical subscale2.00<.001
        Past elopement7.77<.001
        Deceitfulness4.71<.001
        Past impulsiveness3.71<.001
    Clinical subscale1.27<.001
        Follows rules1.72<.05
        Substance use urges1.81<.01
        Medication nonadherence1.78<.05
    Psychosocial subscale1.20Not significant
        Decreased tolerance1.66<.05
    Administrative subscale1.26<.001
        External contacts2.99<.05
        Acute risk to others1.71<.05
        Extended leave3.06<.001
        Criminality/antisociality2.04<.01
    Protective subscale1.23Not significant
        Hospital ties1.91<.05
    BEAT total score1.18<.001
    Overall risk estimate2.28<.01
    • BEAT = Booth Evaluation of Absconding Tool

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Journal of the American Academy of Psychiatry and the Law Online: 49 (3)
Journal of the American Academy of Psychiatry and the Law Online
Vol. 49, Issue 3
1 Sep 2021
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Validation of the Booth Evaluation of Absconding Tool for Assessment of Absconding Risk
Brad D. Booth, Steve F. Michel, J. Sebastian Baglole, Lindsay V. Healey, Haylee V. Robertson
Journal of the American Academy of Psychiatry and the Law Online Sep 2021, 49 (3) 338-349; DOI: 10.29158/JAAPL.200084-20

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Validation of the Booth Evaluation of Absconding Tool for Assessment of Absconding Risk
Brad D. Booth, Steve F. Michel, J. Sebastian Baglole, Lindsay V. Healey, Haylee V. Robertson
Journal of the American Academy of Psychiatry and the Law Online Sep 2021, 49 (3) 338-349; DOI: 10.29158/JAAPL.200084-20
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Keywords

  • BEAT
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