Skip to main content
Log in

Profiles of patients with a personality disorder admitted in a day hospital treatment program: Revealing spectra from the Hierarchical Taxonomy of Psychopathology

  • Published:
Current Psychology Aims and scope Submit manuscript

Abstract

Research has shown so far the efficacy of day hospital treatment programs for patients with a personality disorder experiencing a crisis episode. However, relatively few studies have relied on a dimensional definition of personality pathology, despite the rise of dimensional models of personality disorders in recent years. The objective of this study is therefore to delimit profiles of patients with a personality disorder admitted in a day hospital treatment program using dimensional models of personality and attachment, and psychological distress. A total of 287 patients with a personality disorder completed a series of self-report measures assessing the Big Five personality traits, the Dark Triad components, insecure attachment dimensions, and psychological distress. Cluster analysis, successively using hierarchical and TwoStep algorithms, yielded a three-cluster solution. The three clusters were labeled: Externalizing-Antagonistic, Internalizing-Detached, and Relational and Emotional Difficulties. Each cluster showed a specific pattern of scores on Big Five personality traits, Dark Triad components, and insecure attachment dimensions, and all clusters were associated with clinically significant levels of psychological distress. Results highlight that features from the externalizing, internalizing, and/or detachment spectra of psychopathology distinguish clusters of PD patients admitted in a day hospital treatment program. These clusters are aligned with descriptions found in the recently proposed Hierarchical Taxonomy of Psychopathology. A continuum of severity in personality impairments across the three clusters was also discovered. The clinical and conceptual implications of the three-cluster solution are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data Availability

The data that support the findings of this study could be shared upon reasonable request and contingent upon the approval of an amendment by the ethics committee that authorized the study. Requests to access the data should be directed to claudia.savard@fse.ulaval.ca.

Notes

  1. The exact cluster B diagnosis was unspecified.

  2. The exact PD diagnoses were unspecified.

  3. The exact cluster C diagnosis was unspecified.

  4. A total of 64 patients had multiple PD diagnoses.

  5. A total of 186 patients also had comorbid diagnoses.

  6. Of note, no multicollinearity was found among these variables (tolerance > 0.10 for all variables, Hair et al., 1995; all bivariate correlations between variables < 0.90, Tabachnick & Fidell, 2013).

  7. Nonparametric mean comparisons were preferred, given that the distributions of the continuous variables under study were found to be non-normal (Tabachnick & Fidell, 2013) based on graphical (histogram), numerical (skewness and kurtosis coefficients), and statistical (Shapiro-Wilk test) indicators. Moreover, the possibility that clusters would be of different sizes could not be ruled out at this point.

  8. A total of n = 5 participants had to be excluded from the cluster analysis because of missing data on at least one endogenous variable.

  9. Based on the cut-off scores described in Lambert et al. (2004): > 63 for Total Score; > 36 for Symptom Distress; > 15 for Interpersonal Relations; and > 12 for Social Role.

  10. Based on secondary Student’s t-tests comparing Ms and SDs from the PD sample with Ms and SDs from community samples reported in Mezquita et al. (2019; BFPTSQ scales), Savard et al. (2017; DTDD scales) and Gamache, Savard, Faucher, et al. (2021; ECR-12 scales).

References

  • Agresti, A. (2002). Categorical data analysis (2nd ed.). John Wiley & Sons.

  • Allen, T., Dombrovski, A., Soloff, P., & Hallquist, M. (2020). Borderline personality disorder: Stress reactivity or stress generation? A prospective dimensional study. Psychological Medicine, 52(6), 1014–1021. https://doi.org/10.1017/S003329172000255X

    Article  PubMed  PubMed Central  Google Scholar 

  • American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). American Psychiatric Publishing.

  • American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596

  • Bach, B., & First, M. B. (2018). Application of the ICD-11 classification of personality disorders. BMC psychiatry, 18(1), 1–14. https://doi.org/10.1186/s12888-018-1908-3

    Article  Google Scholar 

  • Bales, D. L., Timman, R., Andrea, H., Busschbach, J. J. V., Verheul, R., & Kamphuis, J. H. (2015). Effectiveness of day hospital mentalization-based treatment for patients with severe borderline personality disorder: A matched control study. Clinical Psychology & Psychotherapy, 22(5), 409–417. https://doi.org/10.1002/cpp.1914

    Article  Google Scholar 

  • Bartak, A., Andrea, H., Spreeuwenberg, M. D., Thunnissen, M., Ziegler, U. M., Dekker, J., Bouvy, F., Hamers, E. F. M., Meerman, A. M. M. A., Busschbach, J. J. V., Verheul, R., Stijnen, T., & Emmelkamp, P. M. G. (2011). Patients with cluster a personality disorders in psychotherapy: An effectiveness study. Psychotherapy and Psychosomatics, 80(2), 88–99. https://doi.org/10.1159/000320587

    Article  PubMed  Google Scholar 

  • Bateman, A., & Fonagy, P. (2008). 8-year follow-up of patients treated for borderline personality disorder: Mentalization-based treatment versus treatment as usual. The American Journal of Psychiatry, 165(5), 631–638. https://doi.org/10.1176/appi.ajp.2007.07040636

    Article  PubMed  Google Scholar 

  • Caligor, E., & Clarkin, J. F. (2010). An object relations model of personality and personality pathology. In J. F. Clarkin, P. Fonagy, & G. O. Gabbard (Eds.), Psychodynamic psychotherapy for personality disorders: A clinical handbook (pp. 3–35). American Psychiatric Publishing.

  • Del Giudice, M. (2011). Sex differences in romantic attachment: A meta-analysis. Personality and Social Psychology Bulletin, 37(2), 193–214. https://doi.org/10.1177/0146167210392789

    Article  PubMed  Google Scholar 

  • Donnellan, M. B., & Robins, R. W. (2010). Resilient, overcontrolled, and undercontrolled personality types: Issues and controversies. Social and Personality Psychology Compass, 4(11), 1070–1083. https://doi.org/10.1111/j.1751-9004.2010.00313.x

    Article  Google Scholar 

  • Ellison, W. D., Levy, K. N., Cain, N. M., Ansell, E. B., & Pincus, A. L. (2013). The impact of pathological narcissism on psychotherapy utilization, initial symptom severity, and early-treatment symptom change: A naturalistic investigation. Journal of Personality Assessment, 95(3), 291–300. https://doi.org/10.1080/00223891.2012.742904

    Article  PubMed  Google Scholar 

  • Everitt, B. S., Landau, S., Leese, M., & Stahl, D. (2011). Cluster analysis (5th ed.). John Wiley & Sons.

  • Faucher, J., Savard, C., & Gamache, D. (2023). Measurement invariance of the Dark Triad Dirty Dozen across nonclinical and clinical populations, genders, and age groups. Personality and Individual Differences, 206, Article 112103. https://doi.org/10.1016/j.paid.2023.112103

  • Flynn, R. J., Aubry, T. D., Guindon, S., Tardif, I., Viau, M., & Gallant, A. (2002). Validation d’une version française du Outcome Questionnaire et évaluation d’un service de counselling en milieu clinique [Validity of a french version of the Outcome Questionnaire and evaluation of a counselling program in a clinical setting]. Canadian Journal of Program Evaluation, 17(3), 57–74.

    Article  Google Scholar 

  • Gamache, D., Savard, C., Faucher, J., & Cloutier, M. (2021). Development and validation of the Stalking and Obsessive Relational Intrusions Questionnaire (SORI-Q). Journal of Interpersonal Violence, 08862605211042808. https://doi.org/10.1177/08862605211042808

  • Gamache, D., Savard, C., Lemelin, S., Côté, A., & Villeneuve, E. (2018). Premature psychotherapy termination in an outpatient treatment program for personality disorders: A survival analysis. Comprehensive Psychiatry, 80, 14–23. https://doi.org/10.1016/j.comppsych.2017.08.001

    Article  PubMed  Google Scholar 

  • Gamache, D., Savard, C., Leclerc, P., & Côté, A. (2019). Introducing a short self-report for the assessment of DSM–5 level of personality functioning for personality disorders: The Self and Interpersonal Functioning Scale. Personality Disorders: Theory Research and Treatment, 10(5), 438–447. https://doi.org/10.1037/per0000335

    Article  Google Scholar 

  • Gamache, D., Savard, C., Leclerc, P., Payant, M., Berthelot, N., Côté, A., Faucher, J., Lampron, M., Lemieux, R., Mayrand, K., Nolin, M. C., & Tremblay, M. (2021). A proposed classification of ICD-11 severity degrees of personality pathology using the Self and Interpersonal Functioning Scale. Frontiers in Psychiatry, 12, Article 628057. https://doi.org/10.3389/fpsyt.2021.628057

  • Hair, J. F. Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate data analysis (3rd ed.). Macmillan.

  • Hallquist, M. N., & Pilkonis, P. A. (2012). Refining the phenotype of borderline personality disorder: Diagnostic criteria and beyond. Personality Disorders: Theory Research and Treatment, 3(3), 228–246. https://doi.org/10.1037/a0027953

    Article  Google Scholar 

  • Hopwood, C. J., Kotov, R., Krueger, R. F., Watson, D., Widiger, T. A., Althoff, R. R., Ansell, E. B., Bach, B., Bagby, R. M., Blais, M. A., Bornovalova, M. A., Chmielewski, M., Cicero, D. C., Conway, C., De Clercq, B., De Fruyt, F., Docherty, A. R., Eaton, N. R., Edens, J. F., & Zimmermann, J. (2018). The time has come for dimensional personality disorder diagnosis. Personality and Mental Health, 12(1), 82–86. https://doi.org/10.1002/pmh.1408

    Article  PubMed  Google Scholar 

  • Howarth, E. J., O’Connor, D. B., Panagioti, M., Hodkinson, A., Wilding, S., & Johnson, J. (2020). Are stressful life events prospectively associated with increased suicidal ideation and behaviour? A systematic review and meta-analysis. Journal of Affective Disorders, 266, 731–742. https://doi.org/10.1016/j.jad.2020.01.171

    Article  PubMed  Google Scholar 

  • John, O. P. (2021). History, measurement, and conceptual elaboration of the Big Five trait taxonomy: The paradigm matures. In O. P. John, & R. W. Robins (Eds.), Handbook of personality: theory and research (pp. 35–82). Guilford Press.

  • Jonason, P. K., & Webster, G. D. (2010). The Dirty Dozen: A concise measure of the dark triad. Psychological Assessment, 22(2), 420–432. https://doi.org/10.1037/a0019265

    Article  PubMed  Google Scholar 

  • Kaufman, L., & Rousseeuw, P. J. (1990). Finding groups in data: An introduction to cluster analysis. John Wiley and Sons.

  • Kotov, R., Jonas, K. G., Carpenter, W. T., Dretsch, M. N., Eaton, N. R., Forbes, M. K., Forbush, K. T., Hobbs, K., Reininghaus, U., Slade, T., South, S. C., Sunderland, M., Waszczuk, M. A., Widiger, T. A., Wright, A., Zald, D. H., Krueger, R. F., & Watson, D. (2020). Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum. World Psychiatry, 19(2), 151–172. https://doi.org/10.1002/wps.20730. & HiTOP Utility Workgroup

    Article  PubMed  PubMed Central  Google Scholar 

  • Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., Brown, T. A., Carpenter, W. T., Caspi, A., Clark, L. A., Eaton, N. R., Forbes, M. K., Forbush, K. T., Goldberg, D., Hasin, D., Hyman, S. E., Ivanova, M. Y., Lynam, D. R., Markon, K., & Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126(4), 454–477. https://doi.org/10.1037/abn0000258

    Article  PubMed  Google Scholar 

  • Krueger, R. F. (1999). The structure of common mental disorders. Archives of General Psychiatry, 56(10), 921–926. https://doi.org/10.1001/archpsyc.56.10.921

    Article  CAS  PubMed  Google Scholar 

  • Krueger, R. F., Derringer, J., Markon, K. E., Watson, D., & Skodol, A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM–5. Psychological Medicine, 42, 1879–1890. https://doi.org/10.1017/S0033291711002674

    Article  CAS  PubMed  Google Scholar 

  • Krueger, R. F., Hobbs, K. A., Conway, C. C., Dick, D. M., Dretsch, M. N., Eaton, N. R., Forbes, M. K., Forbush, K. T., Keyes, K. M., Latzman, R. D., Michelini, G., Patrick, C. J., Sellbom, M., Slade, T., South, S. C., Sunderland, M., Tackett, J., Waldman, I., & Waszczuk, M. A. (2021). Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum. World Psychiatry, 20(2), 171–193. https://doi.org/10.1002/wps.20844. HiTOP Utility Workgroup.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lafontaine, M. F., Brassard, A., Lussier, Y., Valois, P., Shaver, P. R., & Johnson, S. M. (2015). Selecting the best items for a short-form of the Experiences in Close Relationships questionnaire. European Journal of Psychological Assessment, 32(2), 140–154. https://doi.org/10.1027/1015-5759/a000243

    Article  Google Scholar 

  • Lambert, M. J., Morton, J. J., Hatfield, D., Harmon, C., Hamilton, S., Reid, R. C., Shimokawa, K., Christopherson, C., & Burlingame, G. M. (2004). Administration and scoring manual for the OQ-45.2 (Outcome Questionnaire) (3rd ed.). American Professional Credential Services.

  • Li, T., & Chan, D. K. S. (2012). How anxious and avoidant attachment affect romantic relationship quality differently: A meta-analytic review. European Journal of Social Psychology, 42(4), 406–419. https://doi.org/10.1002/ejsp.1842

    Article  MathSciNet  Google Scholar 

  • Livesley, W. J., & Clarkin, J. F. (2016). A general framework for integrated modular treatment. In W. J. Livesley, G. Dimaggio, & J. F. Clarkin (Eds.), Integrated treatment for personality disorder: A modular approach (pp. 19–47). Guilford Press.

  • Lyon, K. A., Elliott, R., Ware, K., Juhasz, G., & Brown, L. J. E. (2021). Associations between facets and aspects of big five personality and affective disorders: A systematic review and best evidence synthesis. Journal of Affective Disorders, 288, 175–188. https://doi.org/10.1016/j.jad.2021.03.061

    Article  Google Scholar 

  • Mezquita, L., Bravo, A. J., Morizot, J., Pilatti, A., Pearson, M. R., Ibáñez, M. I., Ortet, G., & Cross-Cultural Addictions Study Team. (2019). Cross-cultural examination of the Big Five Personality Trait Short Questionnaire: Measurement invariance testing and associations with mental health. PloS One, 14(12), e0226223. https://doi.org/10.1371/journal.pone.0226223

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mikulincer, M., & Shaver, P. R. (2016). Attachment in adulthood: Structure, dynamics, and change (2nd ed.). Guilford Press.

  • Mikulincer, M., & Shaver, P. R. (2003). The attachment behavioral system in adulthood: Activation, psychodynamics, and interpersonal processes. In M. P. Zanna (Ed.), Advances in experimental social psychology (35 vol., pp. 53–152). Elsevier Academic Press.

  • Milinkovic, M. S., & Tiliopoulos, N. (2020). A systematic review of the clinical utility of the DSM–5 section III alternative model of personality disorder. Personality Disorders: Theory Research and Treatment, 11(6), 377–397. https://doi.org/10.1037/per0000408

    Article  Google Scholar 

  • Miller, J. D. (2012). Five-Factor Model personality disorder prototypes: A review of their development, validity, and comparison to alternative approaches. Journal of Personality, 80(6), 1565–1591. https://doi.org/10.1111/j.1467-6494.2012.00773.x

    Article  PubMed  Google Scholar 

  • Mooi, E., & Sarstedt, M. (2011). Understanding cluster-analysis. In E. Mooi, & M. Sarstedt (Eds.), A Concise Guide to Market Research: The process, data, and methods using IBM SPSS statistics (pp. 259–283). Springer.

  • Moreno-Peral, P., Conejo-Cerón, S., Motrico, E., Rodríguez-Morejón, A., Fernández, A., García-Campayo, J., Roca, M., Serrano-Blanco, A., Rubio-Valera, M., & Ángel Bellón, J. (2014). Risk factors for the onset of panic and generalised anxiety disorders in the general adult population: A systematic review of cohort studies. Journal of Affective Disorders, 168, 337–348. https://doi.org/10.1016/j.jad.2014.06.021

    Article  PubMed  Google Scholar 

  • Morizot, J. (2014). Construct validity of adolescents’ self-reported big five personality traits: Importance of conceptual breadth and initial validation of a short measure. Assessment, 21(5), 580–606. https://doi.org/10.1177/1073191114524015

    Article  PubMed  Google Scholar 

  • Moshagen, M., Zettler, I., Horsten, L. K., & Hilbig, B. E. (2020). Agreeableness and the common core of dark traits are functionally different constructs. Journal of Research in Personality, 87, 103986. https://doi.org/10.1016/j.jrp.2020.103986

    Article  Google Scholar 

  • Mullins-Sweatt, S. N., Hopwood, C. J., Chmielewski, M., Meyer, N. A., Min, J., Helle, A. C., & Walgren, M. D. (2019). Treatment of personality pathology through the lens of the Hierarchical Taxonomy of Psychopathology: Developing a research agenda. Personality and Mental Health, 14(1), 123–141. https://doi.org/10.1002/pmh.1464

    Article  PubMed  Google Scholar 

  • Muris, P., Merckelbach, H., Otgaar, H., & Meijer, E. (2017). The malevolent side of human nature: A meta-analysis and critical review of the literature on the dark triad (narcissism, Machiavellianism, and psychopathy). Perspectives on Psychological Science, 12(2), 183–204. https://doi.org/10.1177/1745691616666070

    Article  PubMed  Google Scholar 

  • Ofrat, S., Krueger, R. F., & Clark, L. A. (2018). Dimensional approaches to personality disorder classification. In W. J. Livesley, & R. Larstone (Eds.), Handbook of personality disorders: Theory, research, and treatment (2nd ed., pp. 72–87). Guilford Press.

  • Oltmanns, R., & Widiger, T. A. (2019). Evaluating the assessment of the ICD-11 personality disorder diagnostic system. Psychological Assessment, 31(5), 674–684. https://doi.org/10.1037/pas0000693

    Article  PubMed  PubMed Central  Google Scholar 

  • Paulhus, D. L., & Williams, K. M. (2002). The dark triad of personality: Narcissism, Machiavellianism, and psychopathy. Journal of Research in Personality, 36(6), 556–563. https://doi.org/10.1016/S0092-6566(02)00505-6

    Article  Google Scholar 

  • Ruiz, M. A., Pincus, A. L., & Schinka, J. A. (2008). Externalizing pathology and the Five-Factor Model: A meta-analysis of personality traits associated with antisocial personality disorder, substance use disorder, and their co-occurrence. Journal of Personality Disorders, 22(4), 365–388. https://doi.org/10.1521/pedi.2008.22.4.365

    Article  PubMed  Google Scholar 

  • Savard, C., Chrétien, M., Gamache, D., Maranda, J., & Villeneuve, E. (2019). Effectiveness of a 6-week day hospital treatment for personality disorders: Data from a naturalistic study. Journal of Psychiatric Practice, 25(3), 199–205. https://doi.org/10.1097/PRA.0000000000000382

    Article  PubMed  Google Scholar 

  • Savard, C., Simard, C., & Jonason, P. K. (2017). Psychometric properties of the french-canadian version of the Dark Triad Dirty Dozen. Personality and Individual Differences, 119, 122–128. https://doi.org/10.1016/j.paid.2017.06.044

    Article  Google Scholar 

  • Schene, A. H. (2011). Day hospital and partial hospitalization program. In G. Thornicroft, G. Szmukler, K. T. Mueser, & R. E. Drake (Eds.), Oxford textbook of community mental health (pp. 154–160). Oxford University Press.

  • Shaikh, U., Qamar, I., Jafry, F., Hassan, M., Shagufta, S., Odhejo, Y. I., & Ahmed, S. (2017). Patients with borderline personality disorder in emergency departments. Frontiers in Psychiatry, 8, 136. https://doi.org/10.3389/fpsyt.2017.00136

    Article  PubMed  PubMed Central  Google Scholar 

  • Simms, L. J., Wright, A. G. C., Cicero, D., Kotov, R., Mullins-Sweatt, S. N., Sellbom, M., Watson, D., Widiger, T. A., & Zimmermann, J. (2022). Development of measures for the Hierarchical Taxonomy of Psychopathology (HiTOP): a collaborative Scale Development Project. Assessment, 29(1), 3–16. https://doi.org/10.1177/10731911211015309

    Article  PubMed  Google Scholar 

  • Smits, M. L., Feenstra, D. J., Bales, D. L., de Vos, J., Lucas, Z., Verheul, R., & Luyten, P. (2017). Subtypes of borderline personality disorder patients: A cluster-analytic approach. Borderline Personality Disorder and Emotion Dysregulation, 4(1), 1–15. https://doi.org/10.1186/s40479-017-0066-4

    Article  Google Scholar 

  • Stanton, K., McDonnell, C. G., Hayden, E. P., & Watson, D. (2020). Transdiagnostic approaches to psychopathology measurement: Recommendations for measure selection, data analysis, and participant recruitment. Journal of Abnormal Psychology, 129(1), 21–28. https://doi.org/10.1037/abn0000464

    Article  PubMed  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education.

  • Thomaes, S., Brummelman, E., Miller, J. D., & Lilienfeld, S. O. (2017). The dark personality and psychopathology: Toward a brighter future. Journal of Abnormal Psychology, 126(7), 835–842. https://doi.org/10.1037/abn0000305

    Article  PubMed  Google Scholar 

  • Torres-Soto, J. F., Iborra-Giner, P., Giner-Alegría, C. A., & Moya-Faz, F. J. (2021). Results of a day hospital program for personality disorders. Application of the PID-5 and DSM-5 dimensional model. Clínica y Salud, 32(2), 41–47. https://doi.org/10.5093/clysa2021a9

    Article  Google Scholar 

  • Verheul, R., & Herbrink, M. (2007). The efficacy of various modalities of psychotherapy for personality disorders: A systematic review of the evidence and clinical recommendations. International Review of Psychiatry, 19(1), 25–38. https://doi.org/10.1080/09540260601095399

    Article  PubMed  Google Scholar 

  • Watson, D., Levin-Aspenson, H. F., Waszczuk, M. A., Conway, C. C., Dalgleish, T., Dretsch, M. N., Eaton, N. R., Forbes, M. K., Forbush, K. T., Hobbs, K. A., Michelini, G., Nelson, B. D., Sellbom, M., Slade, T., South, S. C., Sunderland, M., Waldman, I., Witthöft, M., & Wright, A. (2022). Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum. World Psychiatry, 21(1), 26–54. https://doi.org/10.1002/wps.20943

    Article  PubMed  PubMed Central  Google Scholar 

  • Waugh, M. H., Hopwood, C. J., Krueger, R. F., Morey, L. C., Pincus, A. L., & Wright, A. G. C. (2017). Psychological assessment with the DSM–5 alternative Model for Personality Disorders: Tradition and innovation. Professional Psychology: Research and Practice, 48(2), 79–89. https://doi.org/10.1037/pro0000071

    Article  PubMed  Google Scholar 

  • Wei, M., Russell, D. W., Mallinckrodt, B., & Vogel, D. L. (2007). The Experiences in Close Relationship Scale (ECR)-short form: Reliability, validity, and factor structure. Journal of Personality Assessment, 88(2), 187–204. https://doi.org/10.1080/00223890701268041

    Article  PubMed  Google Scholar 

  • Yeager, K. R., & Roberts, A. R. (2015). Bridging the past and present to the future of crisis intervention and crisis management. In K. R. Yeager, & A. R. Roberts (Eds.), Crisis intervention handbook: Assessment, treatment, and research (pp. 3–35). Oxford University Press.

Download references

Acknowledgements

We gratefully thank the clinical staff at the day hospital treatment program of the Centre de traitement le Faubourg Saint-Jean for their thoughtful comments and their support in the realization of this study.

Funding

No funds, grants, or other support was received.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jonathan Faucher.

Ethics declarations

Conflict of interest

Marie-Chantal Tremblay-Canuel is an employee of the Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, where the study was conducted. The other authors have no conflict of interest to declare.

Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the Comité d’éthique de la recherche sectoriel en neurosciences et santé mentale from the Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale (No. 2017 − 171, 436–2016).

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Faucher, J., Savard, C., Payant, M. et al. Profiles of patients with a personality disorder admitted in a day hospital treatment program: Revealing spectra from the Hierarchical Taxonomy of Psychopathology. Curr Psychol 43, 2293–2306 (2024). https://doi.org/10.1007/s12144-023-04388-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12144-023-04388-5

Keywords

Navigation