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Löchner J, Carlbring P, Schuller B, Torous J, Sander LB. Digital interventions in mental health: An overview and future perspectives. Internet Interv 2025; 40:100824. [PMID: 40330743 PMCID: PMC12051054 DOI: 10.1016/j.invent.2025.100824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2025] [Revised: 03/28/2025] [Accepted: 04/01/2025] [Indexed: 05/08/2025] Open
Abstract
As e-health offerings rapidly expand, they are transforming and challenging traditional mental health care systems globally, presenting both promising opportunities and significant risks. This article critically examines the potential and pitfalls of integrating digital technologies into mental health care, particularly in the realms of diagnosis, prevention, and treatment. It explores current advancements and evidence-based practices, and provides a vision for how future technologies can evolve responsibly to meet mental health needs. The article concludes with the TEQUILA framework, addressing essential elements and challenges for fostering a beneficial and ethical future. A responsible future for digital mental health requires building Trust by ensuring data privacy, security, and transparency in AI-driven decisions, along with Evidence-based and robust regulatory oversight to maintain Quality. Usability, design, usability tailored to diverse needs, and ethical alignment with users' Interests will all be essential, while Liability and Accreditation standards will safeguard accountability in this evolving landscape.
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Affiliation(s)
- Johanna Löchner
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nuremberg, Germany
- German Center for Mental Health (DZPG), Site Tübingen, Germany
| | - Per Carlbring
- Department of Psychology, Stockholm University, SE-106 91 Stockholm, Sweden
- School of Psychology, Korea University, Seoul, South Korea
| | - Björn Schuller
- CHI, Department of Clinical Medicine, Technical University of Munich, Munich, Germany
- GLAM, Department of Computing, Imperial College London, England, United Kingdom
| | - John Torous
- Department of Psychiatry, Rabb-2, Beth Israel Deaconess Medical Center, MA, United States of America
| | - Lasse Bosse Sander
- Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Baden-Württemberg, Germany
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Kuzu D, Kratz AL. Real-Time Assessment of Resilience in Individuals With Spinal Cord Injury and Chronic Pain: A Feasibility, Reliability, and Validity Study. Arch Phys Med Rehabil 2025:S0003-9993(25)00702-6. [PMID: 40348050 DOI: 10.1016/j.apmr.2025.04.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 04/23/2025] [Accepted: 04/25/2025] [Indexed: 05/14/2025]
Abstract
OBJECTIVE This observational study examined the feasibility, between-person reliability, and convergent and discriminant validity of an ecological momentary assessment (EMA) measure of resilience in individuals with spinal cord injury (SCI) and chronic pain. DESIGN Participants completed self-report assessments of resilience twice a day for 7 days using a 6-item EMA measure adapted from the SCI Quality of Life (QOL) Resilience Item Bank. Data were collected via a smartphone. SETTING General community. PARTICIPANTS Individuals with SCI and chronic pain (N=53; 54.7% men and 45.3% women). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Besides the 6-item EMA resilience measure, we included the full SCI-QOL Resilience Item Bank, the Connor-Davidson Resilience Scale, the Patient-Reported Outcomes Measurement Information System Depression Short Form, the SCI-QOL Anxiety Short Form, the National Institutes of Health Toolbox Perceived Stress Survey, the SCI-QOL Positive Affect and Well-Being Short Form, and the SCI-QOL Ability to Participate in Social Roles and Activities. RESULTS Our results showed that the resilience EMA measure revealed high feasibility, with an overall response rate of 88%, and strong between-person reliability (>0.90). The measure also demonstrated good convergent validity with related constructs, such as depression, anxiety, and social participation, and good discriminant validity with unrelated factors, like age and injury level. CONCLUSIONS Our findings suggest that the EMA resilience measure is a reliable and valid tool for capturing the dynamic nature of resilience in real-time. Our study highlights the importance of the application of a real-time assessment, given that understanding daily functioning contributes to more person-centered rehabilitation interventions for individuals with SCI and chronic pain.
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Affiliation(s)
- Duygu Kuzu
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI.
| | - Anna L Kratz
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI
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Rösner C, Brähler E, Sachser C, Clemens V, Petrowski K. New norm values of the brief resilience scale (BRS) from the German general population with new post-COVID-19 data. BMC Psychol 2024; 12:499. [PMID: 39334458 PMCID: PMC11437619 DOI: 10.1186/s40359-024-01995-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 09/11/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND The concept of psychological resilience has spurred extensive research across various fields, with the Brief Resilience Scale (BRS) emerging as a concise tool to measure an individual's ability to rebound from stress. It has been translated into multiple languages, including German, but the validation of the German version occurred prior to the COVID-19 pandemic. Therefore, the main objective of this study was to examine new norm values and psychometric properties of the BRS. METHODS Norm values, the factor structure, reliability and validity of the BRS were examined using data from a representative survey of the German general population (N = 2522). RESULTS The results indicated that the method-factor model showed the best fit, suggesting a nuanced understanding of resilience beyond a single-factor approach. The BRS demonstrated good convergent and discriminant validity based on both latent and manifest correlations. Moreover, the study revealed increasing postpandemic resilience scores. CONCLUSIONS The results of this study provide support for the psychometric reliability and validity of the German version of the BRS after the COVID-19 pandemic and underscore the importance of assessing resilience amidst evolving societal challenges and highlight the need for further exploration in diverse populations.
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Affiliation(s)
- Christoph Rösner
- Medical Psychology and Medical Sociology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Elmar Brähler
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131, Mainz, Germany
- Department of Medical Psychology and Medical Sociology, University of Leipzig Medical Center, Philipp-Rosenthal-Str. 55, 04103, Leipzig, Germany
| | - Cedric Sachser
- Department of Child and Adolescent Psychiatry/Psychotherapy, Ulm University, Steinhövelstrasse 5, 89073, Ulm, Germany
| | - Vera Clemens
- Department of Child and Adolescent Psychiatry/Psychotherapy, Ulm University, Steinhövelstrasse 5, 89073, Ulm, Germany
| | - Katja Petrowski
- Medical Psychology and Medical Sociology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.
- Department of Internal Medicine III, University Medical Center Carl Gustav Carus, University of Dresden, Dresden, Germany.
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Marciniak MA, Shanahan L, Yuen KSL, Veer IM, Walter H, Tuescher O, Kobylińska D, Kalisch R, Hermans E, Binder H, Kleim B. Burst versus continuous delivery design in digital mental health interventions: Evidence from a randomized clinical trial. Digit Health 2024; 10:20552076241249267. [PMID: 38698832 PMCID: PMC11064753 DOI: 10.1177/20552076241249267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 04/08/2024] [Indexed: 05/05/2024] Open
Abstract
Objective Digital mental health interventions delivered via smartphone-based apps effectively treat various conditions; however, optimizing their efficacy while minimizing participant burden remains a key challenge. In this study, we investigated the potential benefits of a burst delivery design (i.e. interventions delivered only in pre-defined time intervals) in comparison to the continuous delivery of interventions. Methods We randomly assigned 93 participants to the continuous delivery (CD) or burst delivery (BD) group. The CD group engaged in ReApp, a mobile app that increases positive cognitive reappraisal with a consistent delivery schedule that provides five prompts per day throughout the 3-week-long study, while the BD group received five daily prompts only in the first and third weeks of the study. Results No significant differences were found between the groups in terms of adherence, mental health outcomes (specifically depressive and anxiety symptoms), level of perceived stress, and perceived helpfulness of intervention. The BD group showed a significantly decreased perceived difficulty of intervention over time. Conclusions The results suggest that the burst delivery may be as suitable for digital mental health interventions as the continuous delivery. The perceived difficulty of the intervention declined more steeply for the BD group, indicating that it improved the feasibility of the positive cognitive reappraisal intervention without hurting its efficacy. This outcome may inform the design of less burdensome interventions with improved outcomes in future research.
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Affiliation(s)
- Marta Anna Marciniak
- Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital (PUK), University of Zurich, Zurich, Switzerland
| | - Lilly Shanahan
- Department of Psychology, University of Zurich, Zurich, Switzerland
- Jacobs Center for Productive Youth Development, University of Zurich, Zurich, Switzerland
| | - Kenneth S L Yuen
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Ilya Milos Veer
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, The Netherlands; Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy CCM
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Oliver Tuescher
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
- Institute for Molecular Biology (IMB), Mainz, Germany
| | | | - Raffael Kalisch
- Leibniz Institute for Resilience Research (LIR), Mainz, Germany
- Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany
| | - Erno Hermans
- Radboud University Medical Center, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, The Netherlands
| | - Harald Binder
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany
| | - Birgit Kleim
- Freiburg Center for Data Analysis and Modelling, University of Freiburg, Freiburg, Germany
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