Evidence map›Paper›PMID 30539928›Full record

ArticleActa bio-medica : Atenei Parmensis2018

"I would like to tatoo the illness on my arm". The Integrated Personalized Nursing Diagnosis (IPND).

Giovanna Artioli, Chiara Foà, Chiara Taffurelli, Chiara Cosentino

Open access · greenAbstract readCase Reports
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2018. 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
2.6field-weighted citation impact, top 9% of its field
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, 3 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Giovanna Artioli. giovanna.artioli@unipr.it.
Chiara Foà
Chiara Taffurelli
Chiara Cosentino
Covance (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimThe nursing diagnosis can based on two different approaches: the standard diagnosis, searching for regularities that can fall within pre-existing categories identified by the nurse, as the expert of the disease; the narrative diagnosis, based on personal meaning attributed to the illness, of which only the patient is the expert. The aim of this work is to underline the usefulness of integration between standard diagnosis and narrative diagnosis, through the Integrated Personalized Nursing Diagnosis (IPND).

methodsA 31 years old man, suffering from leukaemia, is welcomed at an Italian Oncological Day Hospital, by a nurse trained in the IPND approach. She used the Gordon functional models on objective data, and collected a narration about patient's experience, which has been analyzed with a Grounded Theory methodology.

resultsThe narrative revealed critical issues and the priorities that patient assigns, which would not have been obtained from a standard diagnosis. From the standard diagnosis, however, emerge several aspects that the patient has neglected to narrate and that does not directly address in his story. The diagnostic integration allowed the nurse to define a conceptual map of problems and resources in a personalized manner.

conclusionThe IPND not only gives importance to the priorities of the patient, but also underlines the dynamic path, in which not only the static analysis of needs becomes significant, but also the changes that occur in attributing new meanings to the life experience, as well as the evolution of the person him/herself in this process.

Indexed as

Attitude to HealthNarrationNurse-Patient RelationsNursing DiagnosisPrecision MedicineAdultAllograftsCortisoneFatigueHematopoietic Stem Cell TransplantationHumansLeukemia, Myeloid, AcuteMaleSelf ConceptWeight LossCortisone

Identifiers

PMID30539928
PMCPMC6502143
OpenAlexW3007762958

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.