Evidence map›Paper›PMID 28327491›Full record

ArticleActa bio-medica : Atenei Parmensis2017

Narrative Based Medicine as a tool for needs assessment of patients undergoing hematopoietic stem cell transplantation.

Gianpaolo Gargiulo, Vincenza Sansone, Teresa Rea, Giovanna Artioli, Stefano Botti, Grazia Isabella Continisio, Paola Ferri, Daniela Masi, Antonio Maria Risitano, Silvio Simeone and 1 more

Abstract read
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2017. 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. 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

11 authors.

Gianpaolo GargiuloFederico II University Hospital of Naples, Italy;. rlasala@ao.pr.it.
Vincenza Sansone
Teresa Rea
Giovanna Artioli
Stefano Botti
Grazia Isabella Continisio
Paola Ferri
Daniela Masi
Antonio Maria Risitano
Silvio Simeone *
Rachele La Sala

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimIn the last years we have seen an ever increasing number of patients with haematologic disorders who need hematopoietic stem cell transplantation (HSCT). The whole sector of HSCT results, infact to be in a continous scientific and technological clinical progress, offering a very advanced care. Despite this, some aspects are underconsidered, some of which could be fundamental to determine the success of the care pathway, such as the experience of the illness by the patient. Using a Narrative Based Medicine approach we wanted to investigate clinical, psychosocial and organizational aspects of the patient's journey whilst undergoing HSCT.

methodVarious narrative interviews were conducted using non-structured approach. Results were analysed by thematic contents.

resultsPsycological dimension is the most compromised: above all emerged sentiments of oppression linked to the isolation period in the Low Bacterial Load (LBL) room. To note are also the different dynamics with which the patients perceive the organisation and hospital structures, and how much these factors can influence their care experience.

conclusionsResults suggest the need in clinical practice of an integration between qualitative and clinical approach, so as to permit the psychosocial and relational necessities to emerge, often unexpressed by patients undergoing HSCT.

Indexed as

Hematopoietic Stem Cell TransplantationNarrative MedicineNeeds AssessmentHumansNarrative Based Medicine, clinical practice, life experience, qualitative research, hematopoietic stem cell transplantation, organization, psycology, nursing

Identifiers

PMID28327491
PMCPMC10548064

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LicenceCC BY-NC-SA
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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.