Evidence map›Paper›PMID 40093701›Full record

ReviewDigital health

Compassion through technology: Digital empathy concept analysis and implications in nursing.

Ebtsam Aly Abou Hashish

Abstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Relational Ontology in a Digital World: Integrating African Personhood and Platformized Nursing.Nursing philosophy : an international journal for healthcare professionals · 2026
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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.

Ebtsam Aly Abou HashishCollege of Nursing-Jeddah, King Saud Bin Abdul-Aziz University for Health Sciences, Jeddah, Saudi Arabia.ORCID https://orcid.org/0000-0003-0492-7615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Digital empathy is an emerging concept in telehealth nursing, emphasizing emotional engagement and compassionate communication in virtual care settings. Despite its importance, digital empathy remains underexplored. This concept analysis aims to define digital empathy in nursing, explore its key attributes, antecedents, consequences, challenges, and actionable recommendations for practice. Methods: Using Walker and Avant's eight-step framework, a comprehensive literature review was conducted on digital empathy in telehealth nursing. A total of 52 sources were reviewed, comprising 46 research articles, four books, and two web pages, published between 2000 and 2024. Results: This concept analysis identifies key attributes of digital empathy in nursing, including authenticity, trust-building, communication effectiveness, emotional engagement, adaptability, technological proficiency, and cultural sensitivity critical for meaningful connections in telehealth. Antecedents encompass digital literacy, emotional intelligence, supportive infrastructures, and cultural competence, emphasizing individual, contextual, and organizational factors. Consequences include enhanced patient satisfaction, trust, adherence to treatment, improved nurse well-being, and organizational benefits such as team cohesion and reduced staff turnover. Challenges such as cultural variability, technological limitations, and the lack of validated measurement tools highlight barriers to effective implementation. Conclusion: This concept analysis underscores the vital role of digital empathy in telehealth nursing. By incorporating its attributes and antecedents, healthcare organizations can enhance patient outcomes and foster supportive, patient-centered environments. Addressing measurement and technological gaps will be pivotal in fully realizing the benefits of digital empathy in telehealth. Actionable recommendations include implementing targeted training, developing standardized tools, and leveraging artificial intelligence advancements to enhance empathetic communication in telehealth.

Indexed as

concept analysisDigital empathynursing practicepatient-centered caretechnological proficiencytelehealth nursing

Identifiers

PMID40093701
PMCPMC11907611

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.