Evidence map›Paper›PMID 41836909›Full record

ArticleFrontiers in health services2026

Digital job demands and healthcare workers' workplace well-being: the mediating role of job and personal resources.

Parisa Afshin, Barbara Rebecca Mutonyi, Erlend Nybakk

Abstract read
In one paragraph

Article in Frontiers in health services, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Parisa AfshinSchool of Economics, Innovation, and Technology, Kristiania University of Applied Sciences, Oslo, Norway.
Barbara Rebecca MutonyiSchool of Economics, Innovation, and Technology, Kristiania University of Applied Sciences, Oslo, Norway.
Erlend NybakkSchool of Economics, Innovation, and Technology, Kristiania University of Applied Sciences, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital innovations are constantly reshaping health care, affecting health care workers' practices and well-being both positively and negatively. To balance this dual impact, it is essential to understand the specific demands introduced by digital innovations and to assess whether existing personal and organizational resources are related to these demands. Subsequently, this study aims to examine the extent to which resources, such as digital innovation support, autonomy, and resilience, mediate the relationships between digital job demands and job satisfaction and thriving at work. Methods: We conducted a cross-sectional survey of 292 healthcare workers in the UK recruited via Prolific using nonprobability purposive sampling based on predefined eligibility criteria. The covariance-based structural equation modeling was performed in R version 4.4.3 to test hypothesized relationships and mediations. Results: Digital technology support, autonomy, and resilience were each positively associated with well-being outcomes; for example, digital innovation support was positively related to thriving at work ( Discussion: In highly digitalized settings, digital job demands did not consistently operate as direct stressors. In healthcare context, resources including autonomy, digital innovation support and resilience were positively related to well-being and, in some cases, operated as mediating mechanisms linking digital system overload to well-being outcomes. This study extends the job demands-resources model by highlighting the importance of mediating role of resources in highly digitalized healthcare work.

Indexed as

digital innovationsdigital job demandsemployee well-beinghealthcare workersresources

Identifiers

PMID41836909
PMCPMC12982379

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.