A latent class analysis of forensic psychiatric patients in relation to risk and protective factors

Marija Jankovic*, Erik Masthoff, Marinus Spreen, Peter De Looff, Stefan Bogaerts

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)
256 Downloads (Pure)

Abstract

Forensic psychiatric patients form a very heterogeneous population regarding psychopathology, criminal history, and risk factors for reoffending. Therefore, the present study aimed to investigate whether there are more homogeneous classes of forensic patients based on DSM-IV-TR Axis I and II diagnoses and previously committed offenses, by means of explorative latent class analysis (LCA). It was also investigated which risk and protective factors are significantly more prevalent in one class compared to other classes. The study sample contained 722 male forensic psychiatric patients who were unconditionally released between 2004 and 2014 from high-security forensic clinics. Data were retrospectively derived from electronic patient files. Five distinctive patient classes emerged: class with only Axis II diagnosis, class with multiple problems, antisocial class, psychotic class, and intellectually disabled class. These classes differed significantly in risk and protective factors. This study contributes to the understanding of patient classes and provides directions for future, class-tailored interventions.
Original languageEnglish
Article number695354
Number of pages13
JournalFrontiers in Psychology
Volume12
DOIs
Publication statusPublished - 2021

Keywords

  • CLINICAL PROFILE
  • DYNAMIC RISK
  • GOOD LIVES MODEL
  • HEALTH
  • INPATIENTS
  • PERSONALITY-DISORDERS
  • REHABILITATION
  • VALIDITY
  • forensic patients
  • latent class analysis
  • patient class
  • protective factors
  • risk factors

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