Self-determination theory is potentially useful for understanding reasons why individuals with mental illness do or do not engage in psychiatric treatment. The current study examined the psychometric properties of three questionnaires based on self-determination theory-The Treatment Entry Questionnaire (TEQ), Health Care Climate Questionnaire (HCCQ), and the Short Motivation Feedback List (SMFL)-in a sample of 348 Dutch adult outpatients with primary diagnoses of mood, anxiety, psychotic, and personality disorders. Structural equation modeling showed that the empirical factor structures of the TEQ and SMFL were adequately represented by a model with three intercorrelated factors. These were interpreted as identified, introjected, and external motivation. The reliabilities of the Dutch TEQ, HCCQ, and SMFL were found to be acceptable but can be improved on; congeneric estimates ranged from 0.66 to 0.94 depending on the measure and patient subsample. Preliminary support for the construct validities of the questionnaires was found in the form of theoretically expected associations with other scales, including therapist-rated motivation and treatment engagement and with legally mandated treatment. Additionally, the study provides insights into the relations between measures of motivation based on self-determination theory, the transtheoretical model and the integral model of treatment motivation in psychiatric outpatients with severe mental illness.

BackgroundTreatment disengagement and non-completion poses a major problem for the successful treatment of patients with severe mental illness. Motivation for treatment has long been proposed as a major determinant of treatment engagement, but exact mechanisms remain unclear. This current study serves three purposes: 1) to determine whether a feedback intervention based on the patients’ motivation for treatment is effective at improving treatment engagement (TE) of severe mentally ill patients in outpatient psychiatric treatment, 2) to gather insight into motivational processes and possible mechanisms regarding treatment motivation (TM) and TE in this patient population and 3) to determine which of three theories of motivation is most plausible for the dynamics of TM and TE in this population.Methods/designThe Motivation and Treatment Engagement Intervention Trial (MotivaTe-IT) is a multi-center cluster randomized trial investigating the effectiveness of feedback generated by clinicians regarding their patients’ treatment motivation upon the patients’ TE. The primary outcome is the patients’ TE. Secondary outcomes are TM, psychosocial functioning and quality of life. Patients whose clinicians generate monthly motivation feedback (additional to treatment as usual) will be compared to patients who receive treatment as usual. An estimated 350 patients, aged 18 to 65 years, with psychotic disorders and/or severe personality disorders will be recruited from outpatient community mental health care. The randomization will be performed by a computerized randomization program, with an allocation ratio of 1:1 (team vs. team or clinician vs. clinician) and patients, but not clinicians, will be blind to treatment allocation at baseline assessment. Due to the nature of the trial, follow-up assessment can not be blinded.DiscussionThe current study can provide important insights regarding motivational processes and the way in which motivation influences the treatment engagement and clinical outcomes. The identification of possible mechanisms through which changes in the outcomes occur, offers a tool for the development of more effective future interventions to improve TM and TE.Trial registrationCurrent Controlled Trials NTR2968

Currently, it is unclear whether Self-Determination Theory (SDT) applies to the mental health care of patients with severe mental illness (SMI). Therefore, the current study tested the process model of SDT in a sample of outpatients with SMI. Participants were 294 adult outpatients with a primary diagnosis of a psychotic disorder or a personality disorder and their clinicians (n = 57). Structural equation modelling was used to test the hypothesized relationships between autonomy support, perceived competence, types of motivation, treatment engagement, psychosocial functioning and quality of life at two time points and across the two diagnostic groups. The expected relations among the SDT variables were found, but additional direct paths between perceived competence and clinical outcomes were needed to obtain good model fit. The obtained process model was found to be stable across time and different diagnostic patient groups, and was able to explain 18% to 36% of variance in treatment engagement, psychosocial functioning and quality of life. It is concluded that SDT can be a useful basis for interventions in the mental health care for outpatients with SMI. Additional experimental research is needed to confirm the causality of the relations between the SDT constructs and their ability to influence treatment outcomes.

The TransTheoretical Model (TTM), Self-Determination Theory (SDT), and the Integral Model of Treatment Motivation (IM) provide distinct but not incompatible conceptualisations of motivation. We discuss the utility of these theories as a basis for the improvement of psychiatric treatment engagement and treatment outcomes in patients with severe mental illness. It appears that all three theories have gained support for their predictions of outcomes in patients with severe mental illness, but important questions remain unanswered, such as which of these theories provides the best prediction of treatment engagement and treatment outcomes. We explain how these three theories could complete each other, based on their strong and unique assets. It is imperative that the theories are empirically tested and compared to confirm their utility, and to this end we propose several important research questions that should be addressed in future research. Theory comparisons can advance what is currently known about intrapersonal changes and interpersonal differences in treatment engagement and outcomes in severely mentally ill patients.