Evidence map›Paper›PMID 40127703›Full record

ArticleApplied clinical informatics2025

Digital Compassion Fatigue as an Emerging Phenomenon for Registered Nurses Experiencing Technostress.

Matthew Byrne

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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

1 author.

Matthew ByrneOffice of the Chief Technology Officer, Mayo Clinic, Rochester, Minnesota, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Registered nurses increasingly work in remote care and digital interaction roles, offering flexibility and expansion of their scope of practice. These roles may expose nurses to digital compassion fatigue, a phenomenon proposed to be characterized by the negative psychological and emotional impact of caring for patients remotely through the use of technology.The first objective of this work is to propose the phenomenon of "digital compassion fatigue" as a potentially further evolved and differentiated form of "compassion fatigue." The second objective is to produce a comparative analysis of attributes, antecedents, and consequences through literature reviews.An evolutionary concept analysis approach was selected as a guide for exploring, discussing, and defining the new concept of digital compassion fatigue. Concept analysis was selected given the need for a framework that accounts for the dynamic nature of technology and practice. The process of conducting a concept analysis includes consideration of diverse and multidisciplinary perspectives. As a result, those in caring, educational, and/or support service roles (e.g., social work, counseling, and teaching) for which distance suffering and technostress could feasibly be present were also included in the literature searches and reviews. Health care-specific studies often included nurses in the sample but may not have differentiated their specific insights or data points in the results.The concept analysis explored the attributes, antecedents, and consequences of digital compassion fatigue, differentiating it from its evolutionary parent, compassion fatigue. Key antecedents included technostress, distant suffering, and the unique challenges of delivering care remotely. A major confounding variable was the COVID-19 pandemic, which may have heightened or introduced new technology-related stressors or highlighted the existence of digital compassion fatigue.Further defining and understanding digital compassion fatigue is crucial for developing effective strategies to support nurses who may experience it or who are at risk.

Indexed as

Compassion FatigueEmpathyNursesTelemedicineCOVID-19Humans

Identifiers

PMID40127703
PMCPMC12310299

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.