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Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST

BACKGROUND: Work-related stress is a risk factor for a number of adverse health and work outcomes. Resilience trainings are a promising approach for adequately dealing with work stress and keeping employees mentally healthy. However, results of previous resilience trainings have been heterogeneous,...

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Autores principales: Behrendt, Dörte, Boß, Leif, Hannibal, Sandy, Kunzler, Angela M., Wessa, Michèle, Lehr, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400467/
https://www.ncbi.nlm.nih.gov/pubmed/37545556
http://dx.doi.org/10.1016/j.invent.2023.100649
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author Behrendt, Dörte
Boß, Leif
Hannibal, Sandy
Kunzler, Angela M.
Wessa, Michèle
Lehr, Dirk
author_facet Behrendt, Dörte
Boß, Leif
Hannibal, Sandy
Kunzler, Angela M.
Wessa, Michèle
Lehr, Dirk
author_sort Behrendt, Dörte
collection PubMed
description BACKGROUND: Work-related stress is a risk factor for a number of adverse health and work outcomes. Resilience trainings are a promising approach for adequately dealing with work stress and keeping employees mentally healthy. However, results of previous resilience trainings have been heterogeneous, ranging from null findings to large effects. Existing digital resilience interventions show a lack of consistency in terms of an underlying theoretical framework and methods used to foster resilience. Positive Appraisal Style Theory of Resilience offers an innovative conceptualization of resilience. Strengths-based cognitive behavioral therapy is a corresponding therapeutically method reflecting resilience as a resource-oriented process of dealing with stress. Based on this background, a new hybrid web-and app-based digital resilience intervention for employees named RESIST was developed. OBJECTIVE: The first aim of the study was to investigate the feasibility of the newly developed training RESIST regarding its usability, user behavior, user experience and motivation to use. Second, the study sought to explore preliminary effects of the intervention on reducing stress and enhancing resilience by conducting a pilot randomized controlled trial. METHODS: The feasibility study was conducted in three phases. First, the usability of the app was investigated in a pre-test with five participants using a thinking-aloud method. Second, the preliminary efficacy of the training was examined in a pilot randomized controlled trial. A sample of 30 employees were randomized either to receive the resilience training (n = 15) or to be member of a control group (n = 15). The primary outcome was measuring perceived stress. Secondary outcomes included measures of resilience and depressive symptoms. Third, semi-structured interviews were undertaken with six participants of the resilience training group on training content, motivation for use, and user experience. RESULTS: Overall, results indicate that RESIST can be a feasible training for resilience promotion and stress reduction with high user satisfaction. Analysis of covariance showed that, relative to controls, participants who received RESIST reported significantly lower stress scores at post-intervention (F1,27 = 16.91, p < 0.001; Cohen's d = 1.57; 95 % CI 0.71–2.43) than controls. Significant differences, with moderate-to-large effect sizes, were also detected for general resilience and various resilience factors. CONCLUSIONS: Results are promising and provide hope that a hybrid web- and app-based resilience intervention based on strengths-based cognitive behavioral therapy can have a positive impact on dealing adequately with stress and improve resilience of employees.
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spelling pubmed-104004672023-08-05 Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST Behrendt, Dörte Boß, Leif Hannibal, Sandy Kunzler, Angela M. Wessa, Michèle Lehr, Dirk Internet Interv Full length Article BACKGROUND: Work-related stress is a risk factor for a number of adverse health and work outcomes. Resilience trainings are a promising approach for adequately dealing with work stress and keeping employees mentally healthy. However, results of previous resilience trainings have been heterogeneous, ranging from null findings to large effects. Existing digital resilience interventions show a lack of consistency in terms of an underlying theoretical framework and methods used to foster resilience. Positive Appraisal Style Theory of Resilience offers an innovative conceptualization of resilience. Strengths-based cognitive behavioral therapy is a corresponding therapeutically method reflecting resilience as a resource-oriented process of dealing with stress. Based on this background, a new hybrid web-and app-based digital resilience intervention for employees named RESIST was developed. OBJECTIVE: The first aim of the study was to investigate the feasibility of the newly developed training RESIST regarding its usability, user behavior, user experience and motivation to use. Second, the study sought to explore preliminary effects of the intervention on reducing stress and enhancing resilience by conducting a pilot randomized controlled trial. METHODS: The feasibility study was conducted in three phases. First, the usability of the app was investigated in a pre-test with five participants using a thinking-aloud method. Second, the preliminary efficacy of the training was examined in a pilot randomized controlled trial. A sample of 30 employees were randomized either to receive the resilience training (n = 15) or to be member of a control group (n = 15). The primary outcome was measuring perceived stress. Secondary outcomes included measures of resilience and depressive symptoms. Third, semi-structured interviews were undertaken with six participants of the resilience training group on training content, motivation for use, and user experience. RESULTS: Overall, results indicate that RESIST can be a feasible training for resilience promotion and stress reduction with high user satisfaction. Analysis of covariance showed that, relative to controls, participants who received RESIST reported significantly lower stress scores at post-intervention (F1,27 = 16.91, p < 0.001; Cohen's d = 1.57; 95 % CI 0.71–2.43) than controls. Significant differences, with moderate-to-large effect sizes, were also detected for general resilience and various resilience factors. CONCLUSIONS: Results are promising and provide hope that a hybrid web- and app-based resilience intervention based on strengths-based cognitive behavioral therapy can have a positive impact on dealing adequately with stress and improve resilience of employees. Elsevier 2023-07-15 /pmc/articles/PMC10400467/ /pubmed/37545556 http://dx.doi.org/10.1016/j.invent.2023.100649 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Full length Article
Behrendt, Dörte
Boß, Leif
Hannibal, Sandy
Kunzler, Angela M.
Wessa, Michèle
Lehr, Dirk
Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST
title Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST
title_full Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST
title_fullStr Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST
title_full_unstemmed Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST
title_short Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST
title_sort feasibility and efficacy of a digital resilience training: a pilot study of the strengths-based training resist
topic Full length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400467/
https://www.ncbi.nlm.nih.gov/pubmed/37545556
http://dx.doi.org/10.1016/j.invent.2023.100649
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