Evidence map›Paper›PMID 31360667›Full record

ArticleTranslational medicine @ UniSa

EIP on AHA Ontology for adherence: Knowledge representation advanced tools.

E Román-Villarán, F P Pérez-Leon, G A Escobar-Rodriguez, C L Parra-Calderón

Abstract read
In one paragraph

Article in Translational medicine @ UniSa. 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

4 authors.

E Román-VillaránBiomedical Informatics, Biomedical Engineering and Health Economy R&I Group. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital/CSIC/University of Seville, Seville, Spain.
F P Pérez-LeonBiomedical Informatics, Biomedical Engineering and Health Economy R&I Group. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital/CSIC/University of Seville, Seville, Spain.
G A Escobar-RodriguezBiomedical Informatics, Biomedical Engineering and Health Economy R&I Group. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital/CSIC/University of Seville, Seville, Spain.
C L Parra-CalderónBiomedical Informatics, Biomedical Engineering and Health Economy R&I Group. Institute of Biomedicine of Seville, IBiS/"Virgen del Rocío" University Hospital/CSIC/University of Seville, Seville, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays diseases tend to chronicle, mainly due to the increase in life expectancy and this leads to a state of polypharmacy. More than 1.5% of Spain's GDP is spent on pharmaceuticals and healthcare products. Complex chronic patients (pluripathological and polymedicated) account for most of the expenditure. The "Action Group A1" of the European Innovation Partnership develops in the "Active and Healthy Ageing" programme actions to improve the quality of life and health outcomes of these patients. On the other hand, the PITeS TIiSS project develops decision support tools to improve this scenario. An ontology has been developed as a tool on adherence. The domain of this ontology is mainly focused on medication adherence and measurement methods. This ontology gathers the necessary knowledge about the domain allowing the use of the ontology as part for is possible.

Indexed as

Adherencechronic diseasesKnowledgeolder patientspolypharmacy

Identifiers

PMID31360667
PMCPMC6581489

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.