Technostress Among Health Professionals – A Multilevel Model and Group Comparisons between Settings and Professions
Version
Published
Date Issued
2021-03
Author(s)
Type
Article
Abstract
Objective: Health organizations increasingly digitize. However, studies
reveal contradictory findings regarding the impact of healthcare information
technology on health professionals. Therefore, the aim of this study is to
describe the prevalence of technostress among health professionals and
elaborate on the influencing factors.
Participants: A secondary analysis was conducted utilizing cross-sectional
data from the study, “Work-related stress among health professionals in
Switzerland”, which included 8,112 health professionals from 163 health
organizations in Switzerland.
Methods: ANOVA for group comparisons followed by post-hoc analyses,
along with a Multilevel Model to identify influencing factors for technostress
ranging from “0” (never/almost never) to “100” (always), were conducted.
Results: Health professionals experienced moderate technostress (mean
39.06, SD 32.54). Technostress differed between settings (p <.001) and health
professions (p < .001). The model explains 18.1% of the variance with fixed
effects, or 24.7% of the variance with fixed and random effects. Being a
physician (β = 12.96), a nurse (β = 6.49), or the presence of an effort�reward-imbalance, increased technostress most (β = 6.11). A professional
with no professional qualification (β = −7.94) showed the most reduction.
Conclusion: Health professionals experience moderate technostress.
However, decision-makers should consider the cognitive and social aspects
surrounding digitalization, to reach a beneficial and sustainable level of
usage.
reveal contradictory findings regarding the impact of healthcare information
technology on health professionals. Therefore, the aim of this study is to
describe the prevalence of technostress among health professionals and
elaborate on the influencing factors.
Participants: A secondary analysis was conducted utilizing cross-sectional
data from the study, “Work-related stress among health professionals in
Switzerland”, which included 8,112 health professionals from 163 health
organizations in Switzerland.
Methods: ANOVA for group comparisons followed by post-hoc analyses,
along with a Multilevel Model to identify influencing factors for technostress
ranging from “0” (never/almost never) to “100” (always), were conducted.
Results: Health professionals experienced moderate technostress (mean
39.06, SD 32.54). Technostress differed between settings (p <.001) and health
professions (p < .001). The model explains 18.1% of the variance with fixed
effects, or 24.7% of the variance with fixed and random effects. Being a
physician (β = 12.96), a nurse (β = 6.49), or the presence of an effort�reward-imbalance, increased technostress most (β = 6.11). A professional
with no professional qualification (β = −7.94) showed the most reduction.
Conclusion: Health professionals experience moderate technostress.
However, decision-makers should consider the cognitive and social aspects
surrounding digitalization, to reach a beneficial and sustainable level of
usage.
Publisher DOI
Journal or Serie
Informatics for Health and Social Care
ISSN
1753-8165
Volume
46
Issue
2
Project(s)
Technostress in der Psychiatrie
Publisher
Taylor & Francis
Submitter
Golz, Christoph
Citation apa
Golz, C., Peter, K., Zwakhalen, S. M. G., & Hahn, S. (2021). Technostress Among Health Professionals – A Multilevel Model and Group Comparisons between Settings and Professions. In Informatics for Health and Social Care (Vol. 46, Issue 2, pp. 136–147). Taylor & Francis. https://doi.org/10.24451/arbor.14497
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