Evidence map›Paper›PMID 27570677›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2016

TRANSFoRm eHealth solution for quality of life monitoring.

Stanisław Saganowski, Andrzej Misiaszek, Piotr Bródka, Anna Andreasson, Vasa Curcin, Brendan Delaney, Kazimierz Frączkowski

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

7 authors.

Stanisław SaganowskiWroclaw University of Technology, Department of Computational Intelligence, Wrocław, Poland stanislaw.saganowski@pwr.edu.pl andrzej.misiaszek@pwr.edu.pl piotr.brodka@pwr.edu.pl.
Andrzej MisiaszekWroclaw University of Technology, Department of Computational Intelligence, Wrocław, Poland stanislaw.saganowski@pwr.edu.pl andrzej.misiaszek@pwr.edu.pl piotr.brodka@pwr.edu.pl.
Piotr BródkaWroclaw University of Technology, Department of Computational Intelligence, Wrocław, Poland stanislaw.saganowski@pwr.edu.pl andrzej.misiaszek@pwr.edu.pl piotr.brodka@pwr.edu.pl.
Anna AndreassonDivision of Family Medicine, Department for Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden anna.andreasson@ki.se.
Vasa CurcinDepartment of Primary Care and Public Health Sciences, King's College London, United Kingdom vasa.curcin@kcl.ac.uk.
Brendan DelaneyFaculty of Medicine, Department of Surgery & Cancer, Imperial College London, United Kingdom brendan.delaney@imperial.ac.uk.
Kazimierz FrączkowskiWroclaw University of Technology, Department of Computer Science, Wrocław, Poland kazimierz.fraczkowski@pwr.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient Recorded Outcome Measures (PROMs) are an essential part of quality of life monitoring, clinical trials, improvement studies and other medical tasks. Recently, web and mobile technologies have been explored as means of improving the response rates and quality of data collected. Despite the potential benefit of this approach, there are currently no widely accepted standards for developing or implementing PROMs in CER (Comparative Effectiveness Research). Within the European Union project Transform (Translational Research and Patient Safety in Europe) an eHealth solution for quality of life monitoring has been developed and validated. This paper presents the overall architecture of the system as well as a detailed description of the mobile and web applications.

Indexed as

AndroidClinical TrialsCROM (Clinician-Reported Outcome Measures)eHealthGORDiOSPROM (Patient-Reported Outcome Measures)TRANSFoRm

Identifiers

PMID27570677
PMCPMC5001750

What OpenQuestion holds

Textmetadata
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.