Evidence map›Paper›PMID 24567757›Full record

ReviewEcancermedicalscience2014

Development of interactive empowerment services in support of personalised medicine.

Haridimos Kondylakis, Eleni Kazantzaki, Lefteris Koumakis, Irini Genitsaridi, Kostas Marias, Alessandra Gorini, Ketti Mazzocco, Gabriella Pravettoni, Danny Burke, Gordon McVie and 1 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Ecancermedicalscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02312700 (Development of an Interactive Empowerment Tool in Support of Patient Empowerment.), which is not on this map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
–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.

NCT02312700 naunknown statusnot on this mapstarted 2015, after this paper: background citation

Development of an Interactive Empowerment Tool in Support of Patient Empowerment.

TypeinterventionalSponsorUniversity of MilanRan2015 to 2015Enrolled100ConditionsBreast Cancer, EmpowermentArmsInteractive empowerment tool
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  15. Towards precision medicine; a new biomedical cosmology.Medicine, health care, and philosophy · 2018
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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

11 authors.

Haridimos KondylakisComputational Medicine Laboratory, FORTH-ICS, Heraklio, Crete GR-71110, Greece.
Eleni KazantzakiComputational Medicine Laboratory, FORTH-ICS, Heraklio, Crete GR-71110, Greece.
Lefteris KoumakisComputational Medicine Laboratory, FORTH-ICS, Heraklio, Crete GR-71110, Greece.
Irini GenitsaridiComputational Medicine Laboratory, FORTH-ICS, Heraklio, Crete GR-71110, Greece.
Kostas MariasComputational Medicine Laboratory, FORTH-ICS, Heraklio, Crete GR-71110, Greece.
Alessandra GoriniDepartment of Decision Sciences, Bocconi University, Milan 20136, Italy and Cancer Intelligence Ltd, 154 Cheltenham Road, Bristol, BS6 5RL, UK.
Ketti MazzoccoDepartment of Decision Sciences, Bocconi University, Milan 20136, Italy and Cancer Intelligence Ltd, 154 Cheltenham Road, Bristol, BS6 5RL, UK.
Gabriella PravettoniDepartment of Decision Sciences, Bocconi University, Milan 20136, Italy and Cancer Intelligence Ltd, 154 Cheltenham Road, Bristol, BS6 5RL, UK.
Danny BurkeDepartment of Decision Sciences, Bocconi University, Milan 20136, Italy and Cancer Intelligence Ltd, 154 Cheltenham Road, Bristol, BS6 5RL, UK.
Gordon McVieDepartment of Decision Sciences, Bocconi University, Milan 20136, Italy and Cancer Intelligence Ltd, 154 Cheltenham Road, Bristol, BS6 5RL, UK.
Manolis TsiknakisComputational Medicine Laboratory, FORTH-ICS, Heraklio, Crete GR-71110, Greece ; Department of Applied Informatics and Multimedia, Technological Educational Institute, Heraklion, Crete GR-71004, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an epoch where shared decision making is gaining importance, a patient's commitment to and knowledge about his/her health condition is becoming more and more relevant. Health literacy is one of the most important factors in enhancing the involvement of patients in their care. Nevertheless, other factors can impair patient processing and understanding of health information: psychological aspects and cognitive style may affect the way patients approach, select, and retain information. This paper describes the development and validation of a short and easy to fill-out questionnaire that measures and collects psycho-cognitive information about patients, named ALGA-C. ALGA-C is a multilingual, multidevice instrument, and its validation was carried out in healthy people and breast cancer patients. In addition to the aforementioned questionnaire, a patient profiling mechanism has also been developed. The ALGA-C Profiler enables physicians to rapidly inspect each patient's individual cognitive profile and see at a glance the areas of concern. With this tool, doctors can modulate the language, vocabulary, and content of subsequent discussions with the patient, thus enabling easier understanding by the patient. This, in turn, helps the patient formulate questions and participate on an equal footing in the decision-making processes. Finally, a preview is given on the techniques under consideration for exploiting the constructed patient profile by a personal health record (PHR). Predefined rules will use a patient's profile to personalise the contents of the information presented and to customise ways in which users complete their tasks in a PHR system. This optimises information delivery to patients and makes it easier for the patient to decide what is of interest to him/her at the moment.

Indexed as

patient empowermentpersonal health recordpsycho-cognitive models

Identifiers

PMID24567757
PMCPMC3922652

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.