The Non-linear Trajectory of Change in Play Profiles of Three Children in Psychodynamic Play Therapy

Abstract

Aim: Even though there is substantial evidence that play based therapies produce significant change, the specific play processes in treatment remain unexamined. For that purpose, processes of change in long-term psychodynamic play therapy are assessed through a repeated systematic assessment of three children’s “play profiles,” which reflect patterns of organization among play variables that contribute to play activity in therapy, indicative of the children’s coping strategies, and an expression of their internal world. The main aims of the study are to investigate the kinds of play profiles expressed in treatment, and to test whether there is emergence of new and more adaptive play profiles using dynamic systems theory as a methodological framework.Methods and Procedures: Each session from the long-term psychodynamic treatment (mean number of sessions = 55) of three 6-year-old good outcome cases presenting with Separation Anxiety were recorded, transcribed and coded using items from the Children’s Play Therapy Instrument (CPTI), created to assess the play activity of children in psychotherapy, generating discrete and measurable units of play activity arranged along a continuum of four play profiles: “Adaptive,” “Inhibited,” “Impulsive,” and “Disorganized.” The play profiles were clustered through K-means Algorithm, generating seven discrete states characterizing the course of treatment and the transitions between these states were analyzed by Markov Transition Matrix, Recurrence Quantification Analysis (RQA) and odds ratios comparing the first and second halves of psychotherapy.Results: The Markov Transitions between the states scaled almost perfectly and also showed the ergodicity of the system, meaning that the child can reach any state or shift to another one in play. The RQA and odds ratios showed two trends of change, first concerning the decrease in the use of “less adaptive” strategies, second regarding the reduction of play interruptions.Conclusion: The results support that these children express different psychic states in play, which can be captured through the lens of play profiles, and begin to modify less dysfunctional profiles over the course of treatment. The methodology employed showed the productivity of treating psychodynamic play therapy as a complex system, taking advantage of non-linear methods to study psychotherapeutic play activity.

What Differentiates Poor and Good Outcome Psychotherapy? A Statistical-Mechanics-Inspired Approach to Psychotherapy Research

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Complex individual pathways or standard tracks? A data‐based discussion on the trajectories of change in psychotherapy

“…Another approach was developed in the context of complexity science and the paradigm of nonlinear dynamic systems (de Felice, Giuliani, et al, 2019;de Felice et al, 2018;Gelo & Salvatore, 2016;Haken, 2004;Haken & Schiepek, 2006;Halfon et al, 2016;Hayes & Strauss, 1998;Orsucci, 2002Orsucci, , 2016Strunk & Schiepek, 2006).…”

What Differentiates Poor and Good Outcome Psychotherapy? A Statistical-Mechanics-Inspired Approach to Psychotherapy Research

“…This is a classical feature of any proper "system", from chemistry (a hydrogen atom bonded to oxygen in water has different properties when bonded to carbon in a methane molecule) to ecology (the same species that positively contributes to system equilibrium can be a threat to the ecological balance when they are placed in a different environment). Thus, the results stressed the crucial importance of basing our clinical and research investigations on such a systemic view also when dealing with psychotherapy [24], [25], [26], [27].…”