Evidence map›Paper›PMID 41291700›Full record

ArticleBMC nursing2025

Invisible nursing care: a concept analysis.

Hamed Gholizad Gougjehyaran, Akram Amanollahzadeh, Maryam Rajabi Danaloo

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Hamed Gholizad GougjehyaranStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran. h.gholizad1991@gmail.com.ORCID http://orcid.org/0000-0001-8385-0155
Akram AmanollahzadehDepartment of Nursing Office, Faculty of Medical Sciences and Health Services, Khoy, Iran.
Maryam Rajabi DanalooStudent Research Committee, Khoy Branch, Islamic Azad University, Khoy, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvisible nursing care comprises essential nursing actions that are often unrecognized and undocumented, such as emotional support, empathetic presence, and preserving patient dignity. Despite their importance, these aspects are mostly overshadowed by technical tasks and lack clear conceptualization in nursing theory and practice.

methodsUsing Walker and Avant’s concept analysis approach, this study systematically reviewed literature from PubMed, Scopus, CINAHL, Web of Science, and Google Scholar up to April 2025. Out of 352 records, 15 relevant articles were analyzed to clarify the attributes, antecedents, and consequences of invisible nursing care.

resultsThe analysis showed that the defining attributes of invisible nursing care are empathy and compassion, unseen and intangible nature, holistic focus, and personalized and contextual, Continuous and rationality, and non-technical and non-formalized. Key antecedents include nursing values and ethics, holistic education, patient vulnerability, organizational support, and nurses’ emotional resilience. Consequences involve better patient psychological well-being, stronger nurse–patient relationships, holistic recovery, higher job satisfaction, recognition challenges, and potential improvement in healthcare quality. Instruments such as the PINC-H questionnaire help measure these hidden aspects.

conclusionInvisible nursing care is a vital, multidimensional aspect of patient-centered nursing. Its recognition and integration into education, practice, and policy can enhance outcomes and professional fulfillment, while future research should focus on improving measurement tools to strengthen its visibility and value.

Indexed as

Concept analysisHolistic careInvisible nursing careNursing care

Identifiers

PMID41291700
PMCPMC12649001

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.