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

Author:

Reininghaus Ulrich1,Schwannauer Matthias2,Barne Islay2,Beames Joanne R.3,Bonnier Rafaël A.3,Brenner Manuel1,Dančík Daniel4,De Allegri Manuela5,Folco Simona Di2,Durstewitz Daniel1,Hadjuk Michal4,Heretik Anton4,Pecenak Jan4,Gugel Jessica1,Izakova Lubomira4,Katreniakova Zuzana6,Kiekens Glenn3,Koppe Georgia1,Kurilla Adam4,Marelli Luca3,Nagyova Iveta6,Nguyen Hoa5,Schulte-Strathaus Julia C.C.1,Sotomayor-Enriquez Koraima2,Uyttebroek Lotte3,Weermeijer Jeroen3,Wolters Maria2,Wensing Michel5,Boehnke Jan R.7,Myin-Germeys Inez3,Schick Anita1

Affiliation:

1. Central Institute of Mental Health, Heidelberg University

2. University of Edinburgh

3. KU Leuven

4. Comenius University in Bratislava

5. Heidelberg University Hospital

6. PJ Safarik University

7. University of Dundee

Abstract

Abstract

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)

Publisher

Research Square Platform LLC

Reference30 articles.

1. Experience sampling methodology in mental health research: new insights and technical developments;Myin-Germeys I;World Psychiatry,2018

2. Reininghaus U, Myin-Germeys I, Mental Health, Reform. Ecological Translation and the Future of Public Mental Healthcare. Foundations of Health Services Research: Principles, Methods, and Topics. Springer; 2023. pp. 223–33.

3. Experience sampling research in psychopathology: opening the black box of daily life;Myin-Germeys I;Psychol Med,2009

4. The experience sampling method as an mHealth tool to support self-monitoring, self-insight, and personalized health care in clinical practice;Os J;Depress Anxiety,2017

5. Effects of momentary self-monitoring on empowerment in a randomized controlled trial in patients with depression;Simons CJ;Eur Psychiatry,2015

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