Strategies, processes, outcomes, and costs of implementing experience sampling-based monitoring in routine mental health care in four European countries: study protocol for the IMMERSE effectiveness-implementation study.

BACKGROUND: Recent years have seen a growing interest in the use of digital tools for delivering person-centred mental health care. Experience Sampling Methodology (ESM), a structured diary technique for capturing moment-to-moment variation in experience and behaviour in service users' daily life, reflects a particularly promising avenue for implementing a person-centred approach. While there is evidence on the effectiveness of ESM-based monitoring, uptake in routine mental health care remains limited. The overarching aim of this hybrid effectiveness-implementation study is to investigate, in detail, reach, effectiveness, adoption, implementation, and maintenance as well as contextual factors, processes, and costs of implementing ESM-based monitoring, reporting, and feedback into routine mental health care in four European countries (i.e., Belgium, Germany, Scotland, Slovakia). METHODS: In this hybrid effectiveness-implementation study, a parallel-group, assessor-blind, multi-centre cluster randomized controlled trial (cRCT) will be conducted, combined with a process and economic evaluation. In the cRCT, 24 clinical units (as the cluster and unit of randomization) at eight sites in four European countries will be randomly allocated using an unbalanced 2:1 ratio to one of two conditions: (a) the experimental condition, in which participants receive a Digital Mobile Mental Health intervention (DMMH) and other implementation strategies in addition to treatment as usual (TAU) or (b) the control condition, in which service users are provided with TAU. Outcome data in service users and clinicians will be collected at four time points: at baseline (t0), 2-month post-baseline (t1), 6-month post-baseline (t2), and 12-month post-baseline (t3). The primary outcome will be patient-reported service engagement assessed with the service attachment questionnaire at 2-month post-baseline. The process and economic evaluation will provide in-depth insights into in-vivo context-mechanism-outcome configurations and economic costs of the DMMH and other implementation strategies in routine care, respectively. DISCUSSION: If this trial provides evidence on reach, effectiveness, adoption, implementation and maintenance of implementing ESM-based monitoring, reporting, and feedback, it will form the basis for establishing its public health impact and has significant potential to bridge the research-to-practice gap and contribute to swifter ecological translation of digital innovations to real-world delivery in routine mental health care. TRIAL REGISTRATION: ISRCTN15109760 (ISRCTN registry, date: 03/08/2022).

Is Subtyping of Gamblers Based on the Pathways Model of Problem and Disordered Gambling Valid? A Systematic Review.

Gamblers are a heterogenous group in terms of the presence of comorbid psychopathology, maladaptive personality traits, and motivation to gamble. The Pathways Model, the most promising comprehensive framework to explain this heterogeneity, classifies gamblers into three subtypes. The aim of this review was to determine whether or not subtyping of gamblers based on the Pathways Model of problem and disordered gambling is valid. A literature review was conducted using the following online databases: Academic Search Complete, PubMed, Web of Science, and PsychINFO. Studies were selected or excluded based on meeting predetermined criteria. Fourteen studies examining subtyping of gamblers based on the Pathways Model were reviewed and evaluated. Results suggest that in the adult population there are three subtypes of gamblers that largely coincide with the subtypes defined in the Pathways Model. Of these, the emotionally vulnerable subtype is the most problematic and inconsistent. In contrast, for adolescents, at least four gambler subtypes have been identified. The extant literature on subtyping of gamblers suffers from some severe limitations. Further research is required to fully validate the Pathways Model.