Evidence map›Paper›PMID 41450709›Full record

ReviewCureus2025

Integration of NANDA International Nursing Diagnoses Into Italian Operational Procedures During the Digital Transition: A Narrative Review (2015-2024).

Giuseppe Fumai

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Giuseppe FumaiOrthopedic and Neurological Rehabilitation, Rehcura Rehabilitation Facility, Adelfia, ITA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The digital transformation of the Italian National Health Service (NHS), accelerated by the National Recovery and Resilience Plan, requires the adoption of standardized terminology to ensure semantic interoperability and the measurability of care. This review analyzes the state of integration of NANDA International (NANDA-I) nursing diagnoses into hospital and community operational procedures in Italy from 2015 to 2024. A narrative review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A systematic search on PubMed, CINAHL, and Scopus yielded 54 selected sources, including legislative acts and peer-reviewed studies. Methodological quality was rigorously appraised using the Mixed Methods Appraisal Tool, applying a strict inclusion threshold of ≥60% to ensure robustness of the evidence. Thematic analysis of the retrieved records was conducted using NVivo 14 (Lumivero, Burlington, MA, USA) to identify recurring implementation patterns. The analysis reveals a heterogeneous implementation landscape. Northern regions (e.g., Emilia-Romagna, Tuscany) have successfully embedded NANDA-I into Electronic Health Records through regional mandates, whereas Southern regions face infrastructural challenges. Evidence confirms that standardized taxonomies improve diagnostic accuracy, patient safety outcomes (specifically fall prevention and heart failure management), and care continuity. The integration of NANDA-I represents a strategic asset for the digital evolution of the NHS. Future efforts must focus on mandatory education and national interoperability standards (SNOMED-CT mapping) to bridge the digital divide.

Indexed as

digital healthcareelectronic health recordsinteroperabilitynanda-inanda internationalnurse leadershipnurse managersnursing diagnosispatient safetyquality of healthcare

Identifiers

PMID41450709
PMCPMC12733659

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.