Evidence map›Paper›PMID 27452661›Full record

ArticleApplied clinical informatics2016

Personalized support for chronic conditions. A novel approach for enhancing self-management and improving lifestyle.

Irene Lasorsa, Pierluigi D Antrassi, Miloš Ajčević, Kira Stellato, Andrea Di Lenarda, Sara Marceglia, Agostino Accardo

Abstract read
In one paragraph

Article in Applied clinical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Irene LasorsaIrene Lasorsa, Department of Engineering and Architecture, University of Trieste, Via Valerio 10, Trieste, Italy, Email: irene.lasorsa@phd.units.it.
Pierluigi D Antrassi
Miloš Ajčević
Kira Stellato
Andrea Di Lenarda
Sara Marceglia
Agostino Accardo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSolutions for improving management of chronic conditions are under the attention of healthcare systems, due to the increasing prevalence caused by demographic change and better survival, and the relevant impact on healthcare expenditures. The objective of this study was to propose a comprehensive architecture of a mHealth system aimed at boosting the active and informed participation of patients in their care process, while at the same time overcoming the current technical and psychological/clinical issues highlighted by the existing literature.

methodsAfter having studied the current challenges outlined in the literature, both in terms of technological and human requirements, we focused our attention on some specific psychological aspects with a view to providing patients with a comprehensive and personalized solution. Our approach has been reinforced through the results of a preliminary assessment we conducted on 22 patients with chronic conditions. The main goal of such an assessment was to provide a preliminary understanding of their needs in a real context, both in terms of self-awareness and of their predisposition toward the use of IT solutions.

resultsAccording to the specific needs and features, such as mindfulness and gamification, which were identified through the literature and the preliminary assessment, we designed a comprehensive open architecture able to provide a tailor-made solution linked to specific individuals' needs.

conclusionThe present study represents the preliminary step towards the development of a solution aimed at enhancing patients' actual perception and encouraging self-management and self-awareness for a better lifestyle. Future work regards further identification of pathology-related needs and requirements through focus groups including all stakeholders in order to describe the architecture and functionality in greater detail.

Indexed as

Chronic DiseaseLife StyleSelf CareDecision Support Systems, ClinicalHealth Knowledge, Attitudes, PracticeHumansMindfulnessPrecision MedicineTelemedicinedecision support systemhome care and e-healthmHealthmindfulnesspatient self-carePatients with chronic illness or special needs

Identifiers

PMID27452661
PMCPMC5052537

What OpenQuestion holds

Textmetadata
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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.