Cargando…

A system science perspective on burn-out: development of an expert-based causal loop diagram

INTRODUCTION: Burn-out leads to reduced worker well-being, long-term absenteeism, and high costs for employers and society. Determinants at different levels may affect burn-out in an interrelated and dynamic manner. The aim of the present study was to apply a broader systems perspective by exploring...

Descripción completa

Detalles Bibliográficos
Autores principales: Barsties, Lisa S., van den Berg, Saskia W., Leone, Stephanie S., Nicolaou, Mary, van Oostrom, Sandra H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687398/
https://www.ncbi.nlm.nih.gov/pubmed/38035310
http://dx.doi.org/10.3389/fpubh.2023.1271591
_version_ 1785151968935673856
author Barsties, Lisa S.
van den Berg, Saskia W.
Leone, Stephanie S.
Nicolaou, Mary
van Oostrom, Sandra H.
author_facet Barsties, Lisa S.
van den Berg, Saskia W.
Leone, Stephanie S.
Nicolaou, Mary
van Oostrom, Sandra H.
author_sort Barsties, Lisa S.
collection PubMed
description INTRODUCTION: Burn-out leads to reduced worker well-being, long-term absenteeism, and high costs for employers and society. Determinants at different levels may affect burn-out in an interrelated and dynamic manner. The aim of the present study was to apply a broader systems perspective by exploring and visualizing the complex system of determinants at different levels (living conditions, working conditions, and societal developments) underlying the prevalence of burn-out in the Netherlands. METHODS: During three group model building (GMB) sessions with in total eight experts on workers’ mental health, a causal loop diagram (CLD) was developed and relevant feedback loops were identified. For the selection of determinants to be included in the CLD a recently published overview of determinants on burn-out at different levels was used. Experts could also add factors that were not listed in the overview. RESULTS: The final CLD consists of 20 factors and depicts a central position of working conditions. Societal developments (e.g., access to mental health care, size of the working population, rougher social climate, etc.) were mostly located at the outside of the CLD and barely integrated in feedback loops. Several reinforcing feedback loops resulting in an increase of the prevalence of burn-out were identified in which the factors (very) high workload, imbalance between work and private life, and insufficient recovery time play an important role. Also, several balancing loops were found that visualize the crucial role of functional support from supervisors to prevent burn-out among workers. DISCUSSION: Applying a broader systems perspective, including determinants at different levels, offers new insights into dynamic feedback loops that contribute to the prevalence of burn-out. Supervisors, amongst others, have a considerable impact on the system underlying the high prevalence of burn-out and may therefore contribute to its prevention. Even though societal developments were less integrated in feedback loops, they might be considered drivers of existing feedback loops. The results from this study confirm that determinants at various levels underly the prevalence of burn-out. To be able to address the diversity of determinants underlying a high prevalence of burn-out, a complex system approach can be helpful.
format Online
Article
Text
id pubmed-10687398
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-106873982023-11-30 A system science perspective on burn-out: development of an expert-based causal loop diagram Barsties, Lisa S. van den Berg, Saskia W. Leone, Stephanie S. Nicolaou, Mary van Oostrom, Sandra H. Front Public Health Public Health INTRODUCTION: Burn-out leads to reduced worker well-being, long-term absenteeism, and high costs for employers and society. Determinants at different levels may affect burn-out in an interrelated and dynamic manner. The aim of the present study was to apply a broader systems perspective by exploring and visualizing the complex system of determinants at different levels (living conditions, working conditions, and societal developments) underlying the prevalence of burn-out in the Netherlands. METHODS: During three group model building (GMB) sessions with in total eight experts on workers’ mental health, a causal loop diagram (CLD) was developed and relevant feedback loops were identified. For the selection of determinants to be included in the CLD a recently published overview of determinants on burn-out at different levels was used. Experts could also add factors that were not listed in the overview. RESULTS: The final CLD consists of 20 factors and depicts a central position of working conditions. Societal developments (e.g., access to mental health care, size of the working population, rougher social climate, etc.) were mostly located at the outside of the CLD and barely integrated in feedback loops. Several reinforcing feedback loops resulting in an increase of the prevalence of burn-out were identified in which the factors (very) high workload, imbalance between work and private life, and insufficient recovery time play an important role. Also, several balancing loops were found that visualize the crucial role of functional support from supervisors to prevent burn-out among workers. DISCUSSION: Applying a broader systems perspective, including determinants at different levels, offers new insights into dynamic feedback loops that contribute to the prevalence of burn-out. Supervisors, amongst others, have a considerable impact on the system underlying the high prevalence of burn-out and may therefore contribute to its prevention. Even though societal developments were less integrated in feedback loops, they might be considered drivers of existing feedback loops. The results from this study confirm that determinants at various levels underly the prevalence of burn-out. To be able to address the diversity of determinants underlying a high prevalence of burn-out, a complex system approach can be helpful. Frontiers Media S.A. 2023-11-16 /pmc/articles/PMC10687398/ /pubmed/38035310 http://dx.doi.org/10.3389/fpubh.2023.1271591 Text en Copyright © 2023 Barsties, van den Berg, Leone, Nicolaou and van Oostrom. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Barsties, Lisa S.
van den Berg, Saskia W.
Leone, Stephanie S.
Nicolaou, Mary
van Oostrom, Sandra H.
A system science perspective on burn-out: development of an expert-based causal loop diagram
title A system science perspective on burn-out: development of an expert-based causal loop diagram
title_full A system science perspective on burn-out: development of an expert-based causal loop diagram
title_fullStr A system science perspective on burn-out: development of an expert-based causal loop diagram
title_full_unstemmed A system science perspective on burn-out: development of an expert-based causal loop diagram
title_short A system science perspective on burn-out: development of an expert-based causal loop diagram
title_sort system science perspective on burn-out: development of an expert-based causal loop diagram
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687398/
https://www.ncbi.nlm.nih.gov/pubmed/38035310
http://dx.doi.org/10.3389/fpubh.2023.1271591
work_keys_str_mv AT barstieslisas asystemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT vandenbergsaskiaw asystemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT leonestephanies asystemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT nicolaoumary asystemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT vanoostromsandrah asystemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT barstieslisas systemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT vandenbergsaskiaw systemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT leonestephanies systemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT nicolaoumary systemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram
AT vanoostromsandrah systemscienceperspectiveonburnoutdevelopmentofanexpertbasedcausalloopdiagram