[Adaptation to changing needs in mental health care: mental health centers]. / Aanpassing aan veranderende zorgbehoefte in de ggz: mentale gezondheidscentra.

BACKGROUND: The increasing healthcare needs in the Netherlands lead to increasing healthcare costs and waiting lists and warrants sufficient (staff-)capacity. The current market-driven organization of care affects qualitative, accessible, and affordable care. Whether the Dutch mental healthcare system can adapt efficiently is questioned in this article. AIM: Gaining insight into the developments and bottlenecks that can contribute to the realization of appropriate care in mental health. METHOD: An overview of literature is given regarding developments and necessary adjustments in mental healthcare. RESULTS: Appropriate care is value-driven, focused on health (instead of the absence of illness), based on management of health of the client and his network, is accessible, affordable and is offered at the right time and place. The collaborative innovation of Mental Healthcare Centers, in which GGz Breburg (specialized mental health care), Indigo Brabant (general mental health care), and health insurance company, form a sustainable coalition which is presented as a solution for manageability of the mental healthcaresystem. This coalition aims to improve the public values of mental healthcare as a response to the required paradigm shift and future model of mental healthcare. CONCLUSION: As a regional network model, the Mental Healthcare Centers offer a desirable answer to the demand for an appropriate and future-proof mental healthcare. w.

[Patient-tailored approach in tertiary care expert centres using individual dynamic network analysis]. / Maatwerk in hoogspecialistische ggz met individuele dynamische netwerkanalyse.

BACKGROUND: Patients with mental health disorders often have difficulty perceiving associations between multiple symptoms, such as inter-relations between somatic and psychological symptoms. This difficulty may be particularly challenging in patients with complex disorders. Individual dynamic network analysis may provide novel diagnostic and treatment possibilities because it can create a starting point for a personalized approach in complex cases in tertiary mental health care expert centres, where standard protocolized interventions were insufficiently effective. AIM: To explore the possibilities provided by dynamic network technologies in the care of patients in tertiary care expert centres. METHOD: Overview of these possibilities, with a focus on somatic symptom disorder. RESULTS: Intensive longitudinal data can be obtained using a short and personalized questionnaire that is presented via a patient's smartphone a few times per day during several weeks. These data are then converted to patient-specific dynamic symptom networks using time series analysis. These networks display how variations over time in somatic and mental symptoms and other factors (such as specific situations) mutually influence each other in daily life. They also provide information about cause-effect associations. CONCLUSION: Dynamic symptom networks provide insight into the associations between symptoms and other factors and can be used to personalize treatment goals and interventions in tertiary care expert centres. Furthermore, these networks create opportunities to examine the (patient-tailored) effects of personalized interventions.

Diagnostic accuracy of the Dutch version of the Somatic Symptom Disorder - B Criteria Scale (SSD-12) compared to the Whiteley Index (WI) and PHQ-15 in a clinical population.

OBJECTIVE: Somatic Symptom and Related Disorders(SSRD) are characterised by an intense focus on somatic symptoms that causes significant distress. A self-report scale developed to assess distress as symptom-related thoughts, feelings, and behaviors (SSD-12) has proved to be a reliable, valid and time-efficient measure for Somatic Symptom Disorder(SSD). This cross-sectional study aimed to compare the SSD-12 with psychiatric assessment as gold standard in a Dutch clinical population for SSRD compared to other widely used measures. METHODS: Data were collected from adult patients visiting a specialised mental health outpatient clinic for SSRD in the Netherlands, between 2015 and 2017. Analyses included item evaluation, scale reliability, construct validity, diagnostic utility and cut points. Performance of SSD-12, Whiteley Index(WI) and PHQ-15 were compared in Receiver operating characteristics (ROC) curves. RESULTS: 223 patients with SSD, Functional Neurological Disorder, Illness Anxiety(IA) and no SSRD participated. SSD-12 items were normally distributed; total scores correlated with measures of health anxiety, anxiety and depression. The optimal cut point for the SSD-12 was 22 (sensitivity 75.9%, specificity 63.6%). The ROC area under the curve for SSD-12 was 0.75 compared to 0.68 for the WI and 0.65 for the PHQ-15. Combinations of those questionnaires did not yield better results than for the SSD-12 alone. CONCLUSION: The SSD-12 alone outperformed the WI and PHQ-15 and combined scales in effectively distinguishing SSRDs from other mental disorders. This may suggest that distress is a more accurate indicator of SSRD than earlier diagnostic criteria as operationalised in the WI and PHQ-15.