Computational psychiatry approach to stigma subtyping in patients with mental disorders: explicit and implicit internalized stigma

Mikhail Y. Sorokin; Natalia B. Lutova; Maria O. Bocharova; Maria A. Khobeysh; Viktor D. Wied

doi:10.17816/CP6556

Consortium PSYCHIATRICUM ›› 2023, Vol. 4 ›› Issue (3) : 13 -21. DOI: 10.17816/CP6556

RESEARCH

research-article

Computational psychiatry approach to stigma subtyping in patients with mental disorders: explicit and implicit internalized stigma

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V.M. Bekhterev National Medical Research Centre for Psychiatry and Neurology

IoPPN-King's College London

Cand. Sci (Med.), Academic Secretary, Senior Researcher, The Integrative Pharmaco-psychotherapy of Patients with Mental Disorders Department, V.M. Bekhterev National Medical Research Сentre for Psychiatry and Neurology

Dr. Sci (Med.), Head of The Integrative Pharmaco-psychotherapy of Patients with Mental Disorders Department, V.M. Bekhterev National Medical Research Сentre for Psychiatry and Neurology

Junior Researcher, The Integrative Pharmaco-psychotherapy of Patients with Mental Disorders Department, V.M. Bekhterev National Medical Research Сentre for Psychiatry and Neurology; Researcher, The Old Age Psychiatry Department, IoPPN-King’s College London

MD; Junior Researcher, The Integrative Pharmaco-psychotherapy of Patients with Mental Disorders Department, V.M. Bekhterev National Medical Research Сentre for Psychiatry and Neurology

Dr. Sci (Med.), Professor, Chief Researcher of The Integrative Pharmaco-psychotherapy of Patients with Mental Disorders Department, V.M. Bekhterev National Medical Research Сentre for Psychiatry and Neurology

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Abstract

BACKGROUND: Psychiatric stigma has potentially controversial effects on patients’ health-related behaviors. It appears that both stigmatization and motivation in psychiatric patients are heterogeneous and multi-dimensional, and that the relationship between stigma and treatment motivation may be more complex than previously believed.

AIM: To determine psychiatric stigma subtypes as they relate to treatment motivation among inpatients with various mental disorders.

METHODS: Sixy-three psychiatric inpatients were examined by the Treatment Motivation Assessment Questionnaire (TMAQ) and the Russian version of Internalized Stigma of Mental Illness scale (ISMI). K-Means cluster and dispersion analysis were conducted.

RESULTS: Cluster 3 (25 subjects) was the least stigmatized. Cluster 1 (18 subjects) showed an “explicit stigma.” Cluster 2 (20 subjects) showed an “implicit stigma” that took the form of the lowest treatment motivation compared to other clusters. “Implicitly” stigmatized patients, in contrast to “explicitly” stigmatized individuals, showed a decline in 3 out of 4 TMAQ factors (Mean dif.=1.05–1.67).

CONCLUSION: Cooperation with doctors, together with reliance on one’s own knowledge and skills to cope with the disorder, might be the way to overcome an internalized stigma for patients with mental disorders.

Keywords

patient engagement / motivation / mental disorders / stigma / prejudice

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Mikhail Y. Sorokin, Natalia B. Lutova, Maria O. Bocharova, Maria A. Khobeysh, Viktor D. Wied. Computational psychiatry approach to stigma subtyping in patients with mental disorders: explicit and implicit internalized stigma. Consortium PSYCHIATRICUM, 2023, 4(3): 13-21 DOI:10.17816/CP6556

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