Óscar Rabasa-Martín published a scoping review on June 1, 2026, analyzing 43 sources on the impact of artificial intelligence and work digitalization on mental health and occupational well-being. The review maps evidence from 2016 to 2026, distinguishing between AI-specific exposures and broader digitalization processes. It synthesizes findings from scientific articles and grey literature from international occupational health organizations.
Use Cases
- Analyzing the relationship between algorithmic management and worker stress based on the review's thematic synthesis.
- Investigating protective factors like digital literacy against technostress based on the review's identified key factors.
- Mapping the distribution of digitalization impacts across vulnerable worker groups based on the review's context-dependent findings.
- Designing human-centered AI implementation strategies based on the review's conclusions about organizational and individual factors.
Strengths
- The review is based on 43 analyzed sources, including 23 scientific articles and 20 grey literature documents.
- It follows established methodological frameworks, specifically the Arksey and O’Malley framework and PRISMA-ScR guidelines.
- The search was comprehensive across multiple databases and sources in two languages (English and Spanish).
Limitations
- The dataset is a single PDF file of 217.3 KB, which is a very limited scope for a data artifact.
- Column-level documentation is absent; field semantics must be inferred after download.
- The review's findings are described as exploratory due to the heterogeneity of the available evidence.
Provenance
- Source
- Óscar Rabasa-Martín
- Collection Method
- A scoping review conducted via thematic synthesis of literature from databases and grey literature sources.
- Time Range
- Studies published between 2016 and 2026.
- Freshness
- Last updated 2026-06-01 05:23:19; freshness should be verified.