Technostress Among Health Professionals – A Multilevel Model and Group Comparisons between Settings and Professions

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 60 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.