Routine outcome monitoring in the Netherlands: practical experiences with a web-based strategy for the assessment of treatment outcome in clinical practice.

Routine outcome monitoring (ROM) is a method devised to systematically collect data on the effectiveness of treatments in everyday clinical practice. ROM involves documenting the outcome of treatments through repeated assessments. Assistants are employed who perform a baseline assessment comprising a standardized diagnostic interview, administration of rating scales and completion of several self-report measures by the patient. At fixed time intervals, assessments are repeated. Dedicated Web-based software has been developed to assist in this task. ROM informs therapists and patients on the severity of the complaints at intake, and the waxing and waning of symptoms over the course of treatment. Researchers can use ROM for effectiveness research, and managers can use it for benchmarking. The use of ROM for research is illustrated by presenting data on the diagnostic status of patients participating in ROM and data on treatment outcome of a subgroup of patients (with panic disorder) in our database. The results show that implementation of ROM is feasible, and after some initial reservations, most therapists now consider ROM to be a necessary and important adjunct to the clinical treatment. In addition, ROM furthers research as the data can be used to study the phenomenology of psychiatric disorders and the outcome of treatments delivered in everyday practice.

Pre-adult versus adult onset major depressive disorder in a naturalistic patient sample: the Leiden Routine Outcome Monitoring Study.

BACKGROUND: Pre-adult onset of major depressive disorder (MDD) may predict a more severe phenotype of depression. As data from naturalistic psychiatric specialty care settings are scarce, we examined phenotypic differences between pre-adult and adult onset MDD in a large sample of consecutive out-patients. METHOD: Altogether, 1552 out-patients, mean age 39.2 ± 11.6 years, were diagnosed with current MDD on the Mini-International Neuropsychiatric Interview Plus diagnostic interview as part of the usual diagnostic procedure. A total of 1105 patients (71.2%) had complete data on all variables of interest. Pre-adult onset of MDD was defined as having experienced the signs and symptoms of a first major depressive episode before the age of 18 years. Patients were stratified according to the age at interview (20-40/40-65 years). Correlates of pre-adult onset were analysed using logistic regression models adjusted for age, age squared and gender. RESULTS: Univariate analyses showed that pre-adult onset of MDD had a distinct set of demographic (e.g. less frequently living alone) and clinical correlates (more co-morbid DSM-IV - Text Revision diagnoses, more social phobia, more suicidality). In the multivariate model, we found an independent association only for a history of suicide attempts [odds ratio (OR) 3.15, 95% confidence intervals (CI) 1.97-5.05] and current suicidal thoughts (OR 1.81, 95% CI 1.26-2.60) in patients with pre-adult versus adult onset MDD. CONCLUSIONS: Pre-adult onset of MDD is associated with more suicidality than adult onset MDD. Age of onset of depression is an easy to ascertain characteristic that may help clinicians in weighing suicide risk.

Distinguishing between depression and anxiety: a proposal for an extension of the tripartite model.

AIM: The aim of the current study was to develop scales that assess symptoms of depression and anxiety and can adequately differentiate between depression and anxiety disorders, and also can distinguish within anxiety disorders. As point of departure, we used the tripartite model of Clark and Watson that discerns three dimensions: negative affect, positive affect and physiological hyperarousal. METHODS: Analyses were performed on the data of 1449 patients, who completed the Mood and Anxiety Symptoms Questionnaire (MASQ) and the Brief Symptom Inventory (BSI). From this, 1434 patients were assessed with a standardized diagnostic interview. RESULTS: A model with five dimensions was found: depressed mood, lack of positive affect, somatic arousal, phobic fear and hostility. The scales appear capable to differentiate between patients with a mood and with an anxiety disorder. Within the anxiety disorders, somatic arousal was specific for patients with panic disorder. Phobic fear was associated with panic disorder, simple phobia and social anxiety disorder, but not with generalized anxiety disorder. CONCLUSIONS: We present a five-factor model as an extension of the tripartite model. Through the addition of phobic fear, anxiety is better represented than in the tripartite model. The new scales are capable to accurately differentiate between depression and anxiety disorders, as well as between several anxiety disorders.

The tripartite model for assessing symptoms of anxiety and depression: psychometrics of the Dutch version of the mood and anxiety symptoms questionnaire.

AIM: The tripartite model conceptualizes symptoms of depression and anxiety in three groups: low positive affect and anhedonia, which is specific to depression, somatic arousal, which is unique to anxiety, and nonspecific general distress. The Mood and Anxiety Symptoms Questionnaire (MASQ) was developed to measure these symptom domains. This study reports on the psychometric properties of the Dutch translation of the MASQ. METHOD: The questionnaire was completed by a population-based sample and by patients with anxiety and/or mood disorders. Scores of these respondent groups were compared to assess the discriminant validity of the MASQ and evaluate the appropriateness of the tripartite model. RESULTS: The psychometric properties of the translated MASQ were highly satisfactory. In accordance with the model, we found the MASQ to comprise three main scales, which discriminate well between subgroups of patients with mood and anxiety disorders. DISCUSSION: Overall, like the English version the Dutch translation of the instrument appears to be a reliable and valid measure of symptoms of depression and anxiety, conceptualized as comprising three groups of symptoms. The Dutch MASQ is better able to distinguish unique aspects of mood and anxiety disorders than other self-report instruments.