Evidence map›Paper›PMID 27563354›Full record

ArticleEcancermedicalscience2016

A web-based interactive tool to improve breast cancer patient centredness.

Alessandra Gorini, Ketti Mazzocco, Haridimos Kondylakis, Gordon McVie, Gabriella Pravettoni

Open access · goldAbstract read
In one paragraph

Article in Ecancermedicalscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

5 authors at 3 institutions in 2 countries.

Alessandra GoriniDepartment of Oncology and Haemato-Oncology, University of Milan, Via Festa del Perdono 7, 20100 Milan, Italy; European Institute of Oncology, Via G. Ripamonti 435, 20100 Milan, Italy.
Ketti MazzoccoDepartment of Oncology and Haemato-Oncology, University of Milan, Via Festa del Perdono 7, 20100 Milan, Italy; European Institute of Oncology, Via G. Ripamonti 435, 20100 Milan, Italy.
Haridimos KondylakisComputational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology - Hellas, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GR-700 13, Greece.
Gordon McVieEuropean Institute of Oncology, Via G. Ripamonti 435, 20100 Milan, Italy.
Gabriella PravettoniDepartment of Oncology and Haemato-Oncology, University of Milan, Via Festa del Perdono 7, 20100 Milan, Italy; European Institute of Oncology, Via G. Ripamonti 435, 20100 Milan, Italy.
Ripamonti · ITEuropean Institute of Oncology · ITFoundation for Research and Technology Hellas · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The uniqueness of a patient as determined by the integration of clinical data and psychological aspects should be the aspired aim of a personalized medicine approach. Nevertheless, given the time constraints usually imposed by the clinical setting, it is not easy for physicians to collect information about the patient's unique mental dimensions and needs related to her illness. Such information may be useful in tailoring patient-physician communication, improving the patient's understanding of provided information, her involvement in the treatment process, and in general her empowerment during and after the therapeutic journey. The primary objective of this study is to evaluate the effect of an interactive empowerment tool (IEm) on enhancing the breast cancer patient-physician experience, in terms of increasing empowerment, i.e. by providing physicians with a personalised patient's profile, accompanied by specific recommendations to advise them how to interact with each individual patient on the basis of her personal profile. The study will be implemented as a two-arm randomised controlled trial with 100 adult breast cancer patients who fill in the ALGA-BC questionnaire, a computerised validated instrument to evaluate the patient's physical and psychological characteristics following a breast cancer diagnosis. The IEm tool will collect and analyse the patient's answers in real time and send them, together with specific recommendations to the physician's computer immediately before physician's first encounter with the patient. Patients will be randomised to either the intervention group using the IEm tool or to a control group who will only fill in the questionnaire without taking advantage of the tool (physicians will not receive the patient's profile). The proposed approach is supposed to improve the patient-physician communication leading to increased patient participation in the therapeutic process as a consequence leading to improvement in patient empowerment and personalisation of care.

Indexed as

breast cancerpatient empowermentpatient–physician communicationpersonalised medicineweb-based tool

Identifiers

PMID27563354
PMCPMC4970622
OpenAlexW2497550666

What OpenQuestion holds

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LicenceCC BY
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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.