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Therapeutic interaction with an older personality disordered patient.

Overview of attention for article published in Psychodynamic psychiatry, June 2014
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Article details
Title
Therapeutic interaction with an older personality disordered patient.
Published in
Psychodynamic psychiatry, June 2014
DOI 10.1521/pdps.2014.42.2.151
Pubmed ID
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Abstract

Abstract This study reflects an assessment of the relationship between change in defensive functioning and change in the therapeutic interaction during an eight-year treatment episode of an older personality disordered woman. The patient, Ms. Q, possessed schizoid, avoidant, and depressive personality disorders as well as major depression as assessed by the Millon Clinical Multiaxial Inventory-III (MCMI-III). At the end of the treatment episode, Ms. Q still possessed an avoidant personality disorder and significant depressive personality traits but no longer possessed clinically significant schizoid traits or major depression. Ms. Q made significant positive change in her adaptive defensive functioning as assessed by the Defense Mechanism Rating Scale (DMRS). Through time-series analysis it was discovered that positive change in adaptive defenses was predicted by increases in a specific type of therapeutic interaction as assessed by the Psychotherapy Q Sort (PQS). In this therapeutic interaction the therapist in a didactic and advice-giving manner highlighted the patient's role in a problem in a clear and coherent way that could be perceived as tactless. Time-series analysis revealed a reciprocal relationship in which positive changes in adaptive defenses predicted further increases in that particular quality of therapeutic interaction.

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The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Spain 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 14%
Researcher 7 14%
Student > Master 6 12%
Student > Doctoral Student 5 10%
Professor > Associate Professor 4 8%
Other 7 14%
Unknown 13 27%
Readers by discipline
Readers by discipline Count As %
Psychology 26 53%
Medicine and Dentistry 5 10%
Social Sciences 2 4%
Arts and Humanities 1 2%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 12 24%