The mental health self-direction scale: An abridged version and its sensitivity to change.

OBJECTIVE: The Mental Health Self-Direction Scale (MHSD) measures the extent to which clients are able to resolve mental problems by themselves. Because this scale had not yet been evaluated, the aims of this paper were (a) to evaluate and improve the MHSD and (b) to explore the sensitivity to change of the improved scale. METHOD: The MHSD was evaluated and improved by means of confirmatory factor analyses of data from one longitudinal and two cross-sectional outpatient sample. Inconsistent items were removed in a stepwise fashion. Subsequently, the scale's sensitivity to change was explored in the longitudinal sample by using latent growth curve models. RESULTS: The original 31-item scale was reduced to a more stable version with 19 items that yielded four factors named: actorship, demoralization, commitment, and understanding. Throughout clients' treatment, actorship and understanding tended to increase; demoralization tended to decrease; and commitment remained consistently high. CONCLUSIONS: The abridged MHSD scale is stable and sensitive to change. It measures the extent to which clients experience and develop self-direction throughout their treatment. With the use of the new MHSD scale, new views on mental health that emphasize clients' ability to actively engage and cope with health-challenges can be incorporated into clinical treatment.

Prediction of Disruptive Behavior over Time from Changes in Patients' Global Functioning in Acute Psychiatric Care.

Disruptive behavior of patients in acute psychiatric care is a problem for both patients and staff. Preventing a patient's impending disruption requires recognizing and understanding early signals. There are indications that a change in a patient's global functioning may be such a signal. The global functioning of patients is a multidimensional view on their functioning. It captures a patient's psychological symptoms, social skills, symptoms of violence, and activities in daily living. The aim of this study was to gain insight into the predictive value of global functioning on the risk of disruptive behavior of patients in acute psychiatric care. Also assessed was the time elapsed between the change in global functioning and a patient's disruptive behavior, which is necessary to know for purposes of early intervention. In a longitudinal retrospective study, we used daily measurements with the Brøset Violence Checklist (BVC) and the Kennedy Axis V (K-As) of each patient admitted to two acute psychiatric units over a period of six years. Data from 931 patients for the first 28 days after their admission were used for survival analysis and cox regression analysis. Disruptive behavior was mostly observed during the first days of hospitalization. Global functioning predicted disruptive behavior from the very first day of hospitalization. A cut-off score of 48 or lower on the K-As on the first admission day predicted a higher risk of disruptive behavior. If functioning remained poor or deteriorated substantially over three days, this was an additional signal of increased risk of disruptive behavior. Improvement in global functioning was associated with a decreased risk of disruptive behavior. More attention is needed for early interventions on global functioning to prevent disruptive behavior.

Early Change as a Predictor of Treatment Outcome in Patients with a Personality Disorder.

A significant proportion of patients with a personality disorder do not benefit from treatment. Monitoring treatment progress can help adjust ineffective treatments. This study examined whether early changes in symptoms and personality dysfunction during the first phase of therapy could predict treatment outcomes. Data from 841 patients who received specialized treatment for personality disorders were analyzed. The study focused on whether changes in the Outcome Questionnaire-45.2 (OQ-45.2) symptom distress scale (SD), the General Assessment of Personality Disorder (GAPD), and Severity Indices of Personality Problems (SIPP) in the early phase of therapy predicted post-treatment personality dysfunction, as measured by the SIPP and GAPD. Early changes within a specific SIPP domain were the strongest predictors of post-treatment outcomes in that same domain. Early changes in symptoms significantly predicted outcomes in Self-Control, Relational Functioning, and Identity Integration, while the GAPD predicted outcomes in Self-Control and Social Attunement on the SIPP. For the GAPD, early changes on the GAPD itself, followed by early changes on the OQ-45 SD and the SIPP domain Social Attunement, were significant predictors. Thus, when it comes to personality dysfunction, early changes in a specific domain or measure are the best predictors of outcomes in that same domain. While the OQ-45 predicted some aspects of personality dysfunction, it should not replace disorder-specific measures. Additionally, the SIPP domains and the GAPD should not be used interchangeably to predict each other. In sum, considering these factors, monitoring early change can be useful in assessing progress in the treatment of patients with personality disorders.

Renewed Feedback-Informed Group Treatment for Patients with Anxiety and Depressive Disorders.

Feedback-Informed Group Treatment (FIGT) shows promise for improving outcomes, but results are mixed. The aim was investigating the feasibility, acceptability and effects of renewed FIGT on clinical outcomes and therapy processes. In a quasi-experimental pilot study, 65 patients with anxiety or depressive disorders and 15 therapists of interpersonal psychotherapy or cognitive behavioural therapy groups using renewed FIGT were included. Renewed FIGT contained three additions compared to the previous tool: (1) personalized goals along with the Outcome Questionnaire-45 (OQ-45), (2) therapists' training, coaching and intervision, and (3) instructions to actively use feedback in the group. Data on feasibility, acceptability, outcomes and process factors were analysed and compared with those of historical cohorts using only OQ-45 feedback or no feedback, using descriptive, multilevel and covariance statistical analyses. Feasibility was mostly improved, with patients experiencing more feedback discussions and better usability compared to only OQ-45 feedback. At least two thirds of the patients and therapists give preference to using feedback in the future. At the end of the study, therapists were less convinced that the OQ-45 and goals were able to detect change. Renewed FIGT did not improve effectiveness on clinical outcomes. Compared to no feedback, patients experienced more cohesion, engagement and less avoidance, but improved less on depressive symptoms. Even when renewed FIGT is more feasible and usable than only OQ-45 feedback and associated with more cohesiveness and engagement, it may not automatically lead to improved effectiveness on clinical outcomes in short-term group therapy. Implications and future directions are described.

Measuring the intensity of mental healthcare: development of the Mental Healthcare Intensity Scale (MHIS).

BACKGROUND: There are considerable differences among mental healthcare services, and especially in developed countries there are a substantial number of different services available. The intensity of mental healthcare has been an important variable in research studies (e.g. cohort studies or randomized controlled trials), yet it is difficult to measure or quantify, in part due to the fact that the intensity of mental healthcare results from a combination of several factors of a mental health service. In this article we describe the development of an instrument to measure the intensity of mental healthcare that is easy and fast to use in repeated measurements. METHODS: The Mental Healthcare Intensity Scale was developed in four stages. First, categories of care were formulated by using focus group interviews. Second, the fit among the categories was improved, and the results were discussed with a sample of the focus group participants. Third, the categories of care were ranked using the Segmented String Relative Rankings algorithm. Finally, the Mental Healthcare Intensity Scale was validated as a coherent classification instrument. RESULTS: 15 categories of care were formulated and were ranked on each of 12 different intensities of care. The Mental Healthcare Intensity Scale is a versatile questionnaire that takes 2-to-3 min to complete and yields a single variable that can be used in statistical analysis. CONCLUSIONS: The Mental Healthcare Intensity Scale is an instrument that can potentially be used in cohort studies and trials to measure the intensity of mental healthcare as a predictor of outcome. Further study into the psychometric characteristics of the Mental Healthcare Intensity Scale is needed.

The relationship between having a job and the outcome of brief therapy in patients with common mental disorders.

BACKGROUND: Previous studies have shown that being employed is associated not only with patients' health but also with the outcome of their treatment for severe mental illness. This study examined what influence employment had on improvements in mental health and functioning among patients with common mental disorders who received brief treatment and how patients' diagnosis, environmental and individual factors moderated the association between being employed and treatment outcome. METHODS: The study used naturalistic data from a cohort of patients in a large mental health franchise in the Netherlands. The data were obtained from electronic registration systems, intake questionnaires and Routine Outcome Monitoring (ROM). The International Classification of Functioning, Disability and Health (ICF) framework was used to identify potential subgroups of patients. Logistic regression models were used to analyze the relationship between employment status and treatment outcome and to determine how the relationship differed among ICF subgroups of patients. RESULTS: A strong relationship was found between employment status and the outcome of brief therapy for patients with common mental disorders. After potential confounding variables had been controlled, patients who were employed were 54% more likely to recover compared to unemployed patients. Two significant interactions were identified. Among patients who were 60 years of age or younger, being employed was positively related to recovery, but this relationship disappeared in patients older than 60 years. Second, among patients in all living situations there was a positive effect of being employed on recovery, but this effect did not occur among children (18+) who were living with a single parent. CONCLUSIONS: Being employed was positively associated with treatment outcome among both people with a severe mental illness and those with a common mental disorder (CMD). The main strength of this study was its use of a large dataset from a nationwide franchised company. Attention to work is important not only for people with a severe mental illness, but also for people with a CMD. This means that in addition to re-integration methods that focus on people with a severe mental illness, more interventions are needed for people with a CMD.

The results of clinician-focused implementation strategies on uptake and outcomes of Measurement-Based Care (MBC) in general mental health care.

BACKGROUND: Measurement-Based Care (MBC) is the routine administration of measures, clinicians' review of the feedback and discussion of the feedback with their clients, and collaborative evaluation of the treatment plan. Although MBC is a promising way to improve outcomes in clinical practice, the implementation of MBC faces many barriers, and its uptake by clinicians is low. The purpose of this study was to investigate whether implementation strategies that were developed with clinicians and aimed at clinicians had an effect on (a) clinicians' uptake of MBC and (b) clients' outcomes of MBC. METHODS: We used an effectiveness-implementation hybrid design based on Grol and Wensing's implementation framework to assess the impact of clinician-focused implementation strategies on both clinicians' uptake of MBC and outcomes obtained with MBC for clients in general mental health care. We hereby focused on the first and second parts of MBC, i.e., the administration of measures and use of feedback. Primary outcome measures were questionnaire completion rate and discussion of the feedback with clients. Secondary outcomes were treatment outcome, treatment length, and satisfaction with treatment. RESULTS: There was a significant effect of the MBC implementation strategies on questionnaire completion rate (one part of clinicians' uptake), but no significant effect on the amount of discussion of the feedback (the other part of clinicians' uptake). Neither was there a significant effect on clients' outcomes (treatment outcome, treatment length, and satisfaction with treatment). Due to various study limitations, the results should be viewed as exploratory. CONCLUSIONS: Establishing and sustaining MBC in real-world general mental health care is complex. This study helps to disentangle the effects of MBC implementation strategies on differential clinician uptake, but the effects of MBC implementation strategies on client outcomes need further examination.

Measuring personal recovery in a low-intensity community mental healthcare setting: validation of the Dutch version of the individual recovery outcomes counter (I.ROC).

BACKGROUND: Measuring progress in treatment is essential for systematic evaluation by service users and their care providers. In low-intensity community mental healthcare, a questionnaire to measure progress in treatment should be aimed at personal recovery and should require little effort to complete. METHODS: The Individual Recovery Outcome Counter (I.ROC) was translated from English into Dutch, and psychometric evaluations were performed. Data were collected on personal recovery (Recovery Assessment Scale), quality of life (Manchester Short Assessment of Quality of Life), and symptoms of mental illness and social functioning (Outcome Questionnaire, OQ-45) for assessing the validity of the I.ROC. Test-retest reliability was evaluated by calculating the Intraclass Correlation Coefficient and internal consistency was evaluated by calculating Cronbach's alpha. Exploratory factor analysis was performed to determine construct validity. To assess convergent validity, the I.ROC was compared to relevant questionnaires by calculating Pearson correlation coefficients. To evaluate discriminant validity, I.ROC scores of certain subgroups were compared using either a t-test or analysis of variance. RESULTS: There were 764 participants in this study who mostly completed more than one I.ROC (total n = 2,863). The I.ROC aimed to measure the concept of personal recovery as a whole, which was confirmed by a factor analysis. The test-retest reliability was satisfactory (Intraclass Correlation Coefficient is 0.856), as were the internal consistency (Cronbachs Alpha is 0.921) and the convergent validity. Sensitivity to change was small, but comparable to that of the OQ-45. CONCLUSIONS: The Dutch version of the I.ROC appears to have satisfactory psychometric properties to warrant its use in daily practice. Discriminant validity and sensitivity to change need further research.

Symptom distress and disability: Different sides of the same coin? An investigation of the relationship between symptom distress and disability over time in patients receiving treatment for internalizing disorders.

BACKGROUND: Most psychotherapy outcome research focuses on symptom reduction as a primary outcome. However, most patients do not seek psychological treatment exclusively for symptom relief, but mainly because they can no longer do what they want to do or used to do. Therefore, besides symptom reduction, also disability in daily functioning should be a focus of psychotherapy outcome research. Yet, until now there is a paucity in research pertaining to the relation between symptom reduction and reduction of disability during psychological treatment. AIMS: For this reason, the aim of the current study was to examine the relationship between changes in symptom reduction (reduction in general symptom distress) and changes in self-reported disability over a period of two years in patients that receive psychotherapy for mood and anxiety disorders (N = 1182). RESULTS: We found strong correlations between both outcome measures at all measurement points. Furthermore, results demonstrated a decrease in both outcome measures from start to end of treatment with a moderate effect for symptom distress and a small effect for experienced disability. Cross-lagged panel analysis demonstrated that a decrease in symptom distress predicted a subsequent decrease in self-reported disability, and a decrease in self-reported disability equally predicted a subsequent decrease in experienced symptom distress. CONCLUSION: Our results seem to indicate that both outcome measures are interchangeable in psychotherapy outcome studies for internalizing disorders.

Predicting Future Service Use in Dutch Mental Healthcare: A Machine Learning Approach.

A mental healthcare system in which the scarce resources are equitably and efficiently allocated, benefits from a predictive model about expected service use. The skewness in service use is a challenge for such models. In this study, we applied a machine learning approach to forecast expected service use, as a starting point for agreements between financiers and suppliers of mental healthcare. This study used administrative data from a large mental healthcare organization in the Netherlands. A training set was selected using records from 2017 (N = 10,911), and a test set was selected using records from 2018 (N = 10,201). A baseline model and three random forest models were created from different types of input data to predict (the remainder of) numeric individual treatment hours. A visual analysis was performed on the individual predictions. Patients consumed 62 h of mental healthcare on average in 2018. The model that best predicted service use had a mean error of 21 min at the insurance group level and an average absolute error of 28 h at the patient level. There was a systematic under prediction of service use for high service use patients. The application of machine learning techniques on mental healthcare data is useful for predicting expected service on group level. The results indicate that these models could support financiers and suppliers of healthcare in the planning and allocation of resources. Nevertheless, uncertainty in the prediction of high-cost patients remains a challenge.

Patients' and Psychologists' Preferences for Feedback Reports on Expected Mental Health Treatment Outcomes: A Discrete-Choice Experiment.

In recent years, there has been an increasing focus on routine outcome monitoring (ROM) to provide feedback on patient progress during mental health treatment, with some systems also predicting the expected treatment outcome. The aim of this study was to elicit patients' and psychologists' preferences regarding how ROM system-generated feedback reports should display predicted treatment outcomes. In a discrete-choice experiment, participants were asked 12-13 times to choose between two ways of displaying an expected treatment outcome. The choices varied in four different attributes: representation, outcome, predictors, and advice. A conditional logistic regression was used to estimate participants' preferences. A total of 104 participants (68 patients and 36 psychologists) completed the questionnaire. Participants preferred feedback reports on expected treatment outcome that included: (a) both text and images, (b) a continuous outcome or an outcome that is expressed in terms of a probability, (c) specific predictors, and (d) specific advice. For both patients and psychologists, specific predictors appeared to be most important, specific advice was second most important, a continuous outcome or a probability was third most important, and feedback that includes both text and images was fourth in importance. The ranking in importance of both the attributes and the attribute levels was identical for patients and psychologists. This suggests that, as long as the report is understandable to the patient, psychologists and patients can use the same ROM feedback report, eliminating the need for ROM administrators to develop different versions.

Can social support be improved in people with a severe mental illness? A systematic review and meta-analysis.

People with a severe mental illness often have less social support than other people, yet these people need social support to face the challenges in their lives. Increasing social support could benefit the person's recovery, but it is not clear whether interventions that aim to improve social support in people with a severe mental illness are effective. A systematic literature search and review in MEDLINE (PubMed), PsycINFO, CINAHL, Cochrane, JSTOR, IBSS, and Embase was performed. Studies were included if they had a control group and they were aimed at improving social support in people with a severe mental illness who were receiving outpatient treatment. Summary data were extracted from the research papers and compared in a meta-analysis by converting outcomes to effect sizes (Hedges's g). Eight studies (total n = 1538) that evaluated ten different interventions met the inclusion criteria. All but one of these studies was of sufficient quality to be included in the review. The studies that were included in the meta-analysis had a combined effect size of 0.17 (confidence interval: 0.02 to 0.32), indicating a small or no effect for the interventions that were evaluated. A subgroup analysis of more personalized studies showed a combined effect size of 0.35 (CI = 0.27 to 0.44), indicating a noteworthy effect for these more personalized studies. This evaluation of interventions aimed at improving social support in people with a severe mental illness suggests that these interventions in general have little or no clinical benefit. However, in a subgroup analysis the more personalized interventions have a larger effect on improving social support and merit further research.

Construction and validation of a self-direction measure for mental health care.

OBJECTIVE: The aims were to describe and develop a measure of the concept of the active self as self-direction and to assess the extent to which clients in a mental healthcare setting were becoming self-directive instead of being directed by their therapist. METHODS: A panel of experts was formed to discuss the concept self-direction and to formulate a tentative model of self-direction. An initial questionnaire was constructed. A cross-section of clients completed the questionnaire to evaluate its validity and reliability with exploratory factor analysis. RESULTS: A 31-item questionnaire was constructed that included six factors that measured actorship, commitment, demoralization, readiness, understanding, and monitoring progress and two broader underlying factors called gaining control and loss of control. CONCLUSION: The developed questionnaire measures the degree to which people are experiencing self-direction in their lives, and their capability of solving their problems.

Patients' perceived lack of goal clarity in psychological treatments: Scale development and negative correlates.

Goal setting in psychological treatments may have favourable effects on patients' motivation and treatment outcomes. Therefore, it seems important to detect when patients do not perceive clear treatment goals. The current study presents a questionnaire measuring patients' perceived lack of goal clarity. The cross-sectional study consisted of 742 adult outpatients with diverse mental disorders. Patients completed the perceived lack of goal clarity questionnaire, and additional items measuring goal setting and evaluation, therapeutic alliance, symptom levels, patients' dependency on their treatment, and their expected and needed number of future treatment sessions. Exploratory factor analysis and reliability analyses resulted in a unidimensional and reliable questionnaire (nine items, α = .85). Additional findings showed that 23% of the treatments lacked initial goal setting according to the patients. Also, perceived lack of goal clarity was lower when treatment goals were established explicitly at the start of treatment, were formulated together with the therapist, and were discussed regularly during treatment, and treatment progress was monitored regularly. Moreover, patients reporting their goals as unclear also reported a poorer quality of the therapeutic alliance, higher symptom levels, increased need for future sessions, but also lower levels of care dependency. These findings underscore the importance of perceived goal clarity in psychological treatments, although the relation with actual goal setting remains uncertain.

Measuring Social Support in People with Mental Illness: A Quantitative Analysis of the Social Network Map.

An instrument is needed for quantitatively evaluating changes in social support in people with mental illness, but no gold standard is available. The Social Network Map is a structured interview for assessing social support that is used in individual care settings, yet provides overwhelming output (16-128 data points per assessment). A method comprising two factors (quality and quantity of the social network) was developed. The psychometric properties were judged to be sufficient. This study shows that data from the Social Network Map can be analysed at the group level, yet further research on the psychometric properties is needed.

Measuring Recovery in Deaf, Hard-of-Hearing, and Tinnitus Patients in a Mental Health Care Setting: Validation of the I.ROC.

This study was aimed at validating the Individual Recovery Outcomes Counter (I.ROC) for deaf, hard-of-hearing, and tinnitus patients in a mental health care setting. There is a need for an accessible instrument to monitor treatment effects in this population. The I.ROC measures recovery, seeing recovery as a process of experiencing a meaningful life, despite the limitations caused by illness or disability. A total of 84 adults referred to 2 specialist mental health centers for deaf, hard-of-hearing, and tinnitus adults in the Netherlands completed the Dutch version of I.ROC and 3 other instruments. A total of 25 patients refused or did not complete the instruments: 50% of patients using sign language and 18% of patients using spoken language. Participants completed the measures at intake and then every 3 months. In this sample I.ROC demonstrated good internal consistency and convergent validity. Sensitivity to change was good, especially over a period of 6 or 9 months. This study provides preliminary evidence that the I.ROC is a valid instrument measuring recovery for hard-of-hearing and tinnitus patients using spoken language. For deaf patients using sign language, specifically those with limited language skills in spoken and written Dutch, more research is needed.

Lower versus higher frequency of sessions in starting outpatient mental health care and the risk of a chronic course; a naturalistic cohort study.

BACKGROUND: An adequate frequency of treatment might be a prerequisite for a favorable outcome. Unfortunately, there is a diversity of factors that interfere with an adequate frequency of sessions. This occurs especially in the first phase of treatment, while the first phase seems vital for the rest of treatment. The aim of this naturalistic study was to explore the impact of the initial frequency of treatment sessions on treatment outcome in a diverse mental health care population. METHODS: Anonymized data were analyzed from 2,634 patients allocated for anxiety disorders, depressive disorders, and personality disorders to outpatient treatment programs in a large general mental health care facility. Patients' treatment outcome was routinely monitored with the Outcome Questionnaire-45 (OQ-45.2), every 12 weeks. Frequency of sessions was assessed for the first three months of treatment. Using Cox-proportional-hazard models, we explored the associations between initial frequency and improvement (reliable significant change) and recovery (reliable and clinically significant change). RESULTS: Improvement and recovery were associated with symptom severity and functional impairment at start of treatment, the year the treatment started, number of measurements, the treatment program (anxiety disorders, depressive disorders, and personality disorders) and receiving group therapy other than psychotherapy. In all diagnostic groups, both improvement and recovery were associated with a higher frequency of sessions during the first three months of treatment. For improvement, this effect diminished after three years in treatment; however, for recovery this association was sustained. CONCLUSIONS: In addition to severity at start of treatment and other predictors of outcome, a low frequency of initial treatment sessions might lead to a less favorable outcome and a more chronic course of the mental disorder. This association seems not to be limited to a specific diagnostic group, but was found in a large group of patients with common mental disorders (depression and anxiety disorders) and patients with a personality disorder. Despite organizational obstacles, more effort should be made to start treatment quickly by an effective frequency of session.

Treatment results for severe psychiatric illness: which method is best suited to denote the outcome of mental health care?

BACKGROUND: The present study investigates the suitability of various treatment outcome indicators to evaluate performance of mental health institutions that provide care to patients with severe mental illness. Several categorical approaches are compared to a reference indicator (continuous outcome) using pretest-posttest data of the Health of Nation Outcome Scales (HoNOS). METHODS: Data from 10 institutions and 3189 patients were used, comprising outcomes of the first year of treatment by teams providing long-term care. RESULTS: Findings revealed differences between continuous indicators (standardized pre-post difference score ES and ΔT) and categorical indicators (SEM, JTRCI, JTCS, JTRCI&CS, JTrevised) on their ranking of institutions, as well as substantial differences among categorical indicators; the outcome according to the traditional JT approach was most concordant with the continuous outcome indicators. CONCLUSIONS: For research comparing group averages, a continuous outcome indicator such as ES or ΔT is preferred, as this best preserves information from the original variable. Categorical outcomes can be used to illustrate what is accomplished in clinical terms. For categorical outcome, the classical Jacobson-Truax approach is preferred over the more complex method of Parabiaghi et al. with eight outcome categories. The latter may be valuable in clinical practice as it allows for a more detailed characterization of individual patients.

A Cost-Effectiveness Analysis to Evaluate a System Change in Mental Healthcare in the Netherlands for Patients with Depression or Anxiety.

Over the last decade, the Dutch mental healthcare system has been subject to profound policy reforms, in order to achieve affordable, accessible, and high quality care. One of the adjustments was to substitute part of the specialized care for general mental healthcare. Using a quasi-experimental design, we compared the cost-effectiveness of patients in the new setting with comparable patients from specialized mental healthcare in the old setting. Results showed that for this group of patients the average cost of treatment was significantly reduced by, on average, €2132 (p < 0.001), with similar health outcomes as in the old system.

Psychometric properties of the Dutch version of the Treatment Support Measure (TSM) parent and youth form.

The Treatment Support Measure (TSM) Parent and Youth were created to help clinicians with actionable feedback when youths are not making sufficient progress in treatment. This study examined the psychometric properties of the Dutch TSM Parent and TSM Youth. Parents (n = 172) and youth (n = 122) were recruited at 2 outpatient mental health care institutions. Children of participating parents (50.6% boys) had a mean age of 11.9 years (SD = 3.46; range 4-18). Participating youth (30.3% boys) had a mean age of 15.68 years (SD = 1.75; range 12-18). Participants were asked to complete the TSM and questionnaires measuring related constructs once during treatment. Responses to the TSM Parent items were explained by 9 instead of 5 subscales, and responses to the TSM Youth items were explained by 8 instead of 4 subscales. The internal consistency reliability of both the TSM Parent and the TSM Youth scales was generally good. The convergent validity of the TSM Parent and the TSM Youth was also good, although the divergent validity was less convincing. The criterion validity was inconclusive; the TSM Parent was not able to differentiate between problematic and nonproblematic treatments, but multiple scales of the TSM Youth were able to differentiate between these groups. The TSM Parent and TSM Youth have potential to be helpful tools in clinical practice. They could signal potential barriers to youth progress and direct the conversation between the clinician and youth and parents about adaptation of treatment. KEY PRACTITIONER MESSAGE: This is the first study to investigate the psychometric properties of the Treatment Support Measure (TSM) Parent and Youth versions, which are created to help clinicians with actionable feedback when youths are not making sufficient progress in treatment. The Dutch TSM Parent and TSM Youth have moderate to good psychometric properties. The Dutch TSM Parent and TSM Youth might be helpful tools for use in clinical practice: they contain variables that are related to youth outcome, can signal potential barriers to youth progress, and can direct the conversation between the clinician and the youth and parents about adaptation of treatment. The Dutch TSM Parent and TSM Youth could be added to the regular ROM to facilitate both routine monitoring of outcome and direct and concrete aid to the here-and-now relational processes in treatment.