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» Authors » Gunther Meinlschmidt

Gunther Meinlschmidt

Explore the profile of Gunther Meinlschmidt including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 78
Citations 1345
Followers 0
Related Specialties
Psychiatry
Neurology
General Medicine
Top 10 Co-Authors
Marion Tegethoff
Rainer Schaefert
Roselind Lieb
Esther Stalujanis
Angelo Belardi
Dirk H Hellhammer
Sabina Hunziker
Andrea H Meyer
Seung-Schik Yoo
Jong-Hwan Lee
Published In
Psychoneuroendocrinology
J Psychosom Res
PLoS One
Psychosom Med
Front Psychol
Affiliations
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Recent Articles
1.
Comparing Digital Versus Face-to-Face Delivery of Systemic Psychotherapy Interventions: Systematic Review and Meta-Analysis of Randomized Controlled Trials
Erasmus P, Borrmann M, Becker J, Kuchinke L, Meinlschmidt G
Interact J Med Res . 2025 Feb; 14:e46441. PMID: 39993307
Background: As digital mental health delivery becomes increasingly prominent, a solid evidence base regarding its efficacy is needed. Objective: This study aims to synthesize evidence on the comparative efficacy of...
2.
An Explainable Artificial Intelligence Text Classifier for Suicidality Prediction in Youth Crisis Text Line Users: Development and Validation Study
Thomas J, Lucht A, Segler J, Wundrack R, Miche M, Lieb R, et al.
JMIR Public Health Surveill . 2025 Jan; 11:e63809. PMID: 39879608
Background: Suicide represents a critical public health concern, and machine learning (ML) models offer the potential for identifying at-risk individuals. Recent studies using benchmark datasets and real-world social media data...
3.
Do Positive Psychosocial Factors Contribute to the Prediction of Coronary Artery Disease? A UK Biobank-Based Machine Learning Approach
Hefti R, Guemghar S, Battegay E, Mueller C, Koenig H, Schaefert R, et al.
Eur J Prev Cardiol . 2024 Jul; PMID: 39056264
Aim: Most prediction models for coronary artery disease (CAD) compile biomedical and behavioural risk factors, using linear multivariate models. This study explored the potential of integrating positive psychosocial factors (PPFs),...
4.
The association of socioeconomic status with the success of chat-based online counseling for children and youth: A latent change score modeling approach
Rarey F, Thomas J, Berghofer A, Kuchinke L, Meinlschmidt G, Rummel-Kluge C, et al.
Internet Interv . 2024 Jul; 37:100753. PMID: 39006905
Children and youth from lower subjective socioeconomic status (SES) backgrounds are at a heightened risk of mental disorders. Online counseling is a valuable tool to reach those less likely to...
5.
Determinants of workload-related clinician stress levels in general hospital consultation liaison psychiatry services during the COVID-19 pandemic in England and Ireland. Short report
van der Feltz-Cornelis C, Sweetman J, Lee W, Doherty A, Dineen P, Meinlschmidt G, et al.
J Psychosom Res . 2024 Jan; 177:111584. PMID: 38181547
Objective: To explore workload-related stress levels experienced by consultation liaison psychiatry (CLP) staff in England and Ireland, and factors relevant to such a burden, during the COVID-19 pandemic. Methods: Data...
6.
Prevention of psychosocial distress consequences in somatic hospital inpatients via a stepped and collaborative care model: protocol of SomPsyNet, a stepped wedge cluster randomised trial
Meinlschmidt G, Frick A, Baenteli I, Karpf C, Studer A, Bachmann M, et al.
BMJ Open . 2023 Nov; 13(11):e076814. PMID: 37996236
Introduction: Approximately 30% of somatic hospital inpatients experience psychosocial distress, contributing to increased (re-)hospitalisation rates, treatment resistance, morbidity, and direct and indirect costs. However, such distress often remains unrecognised and...
7.
Treatment-associated network dynamics in patients with globus sensations: a proof-of-concept study
Imperiale M, Lieb R, Meinlschmidt G
Sci Rep . 2023 Sep; 13(1):15615. PMID: 37730963
In this proof-of-concept study, we used a systems perspective to conceptualize and investigate treatment-related dynamics (temporal and cross-sectional associations) of symptoms and elements related to the manifestation of a common...
8.
Smartphone-Based Psychotherapeutic Interventions in Blended Care of Cancer Survivors: Nested Randomized Clinical Trial
Meinlschmidt G, Grossert A, Meffert C, Roemmel N, Hess V, Rochlitz C, et al.
JMIR Cancer . 2023 Aug; 9:e38515. PMID: 37639296
Background: Cancer is related to not only physical but also mental suffering. Notably, body image disturbances are highly relevant to cancer-related changes often persisting beyond recovery from cancer. Scalable and...
9.
Facilitators and barriers of routine psychosocial distress assessment within a stepped and collaborative care model in a Swiss hospital setting
Aebi N, Baenteli I, Fink G, Meinlschmidt G, Schaefert R, Schwenkglenks M, et al.
PLoS One . 2023 Jun; 18(6):e0285395. PMID: 37390066
Background: Stepped and Collaborative Care Models (SCCMs) have shown potential for improving mental health care. Most SCCMs have been used in primary care settings. At the core of such models...
10.
Reliability of self-reported dispositional mindfulness scales and their association with working memory performance and functional connectivity
Kim Y, Lee J, Tegethoff M, Meinlschmidt G, Yoo S, Lee J
Brain Cogn . 2023 May; 169:106001. PMID: 37235929
We systematically investigated the link between trait mindfulness scores and functional connectivity (FC) features or behavioral data, to emphasize the importance of the reliability of self-report mindfulness scores. Sixty healthy...