Evidence map›Paper›PMID 39911717›Full record

ArticleDigital health

Cost-effectiveness of the Floodlight

Evelyn Walter, Matthäus Traunfellner, Franz Meyer, Christian Enzinger, Michael Guger, Christian Bsteh, Patrick Altmann, Harald Hegen, Christoph Goger, Veronika Mikl

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Evelyn WalterIPF Institute for Pharmaeconomic Research, Vienna, Austria.ORCID https://orcid.org/0000-0003-1533-8912
Matthäus TraunfellnerIPF Institute for Pharmaeconomic Research, Vienna, Austria.
Franz MeyerIPF Institute for Pharmaeconomic Research, Vienna, Austria.
Christian EnzingerDepartment of Neurology, Medical University of Graz, Graz, Austria.
Michael GugerDepartment of Neurology, Pyhrn-Eisenwurzen Hospital Steyr, Steyr, Austria.
Christian BstehNeurology and Psychiatry, Salzburg, Austria.
Patrick AltmannDepartment of Neurology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-2983-3693
Harald HegenDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Christoph GogerInnovation Hub Lead, Roche Austria GmbH, Vienna, Austria.
Veronika MiklInnovation Hub Lead, Roche Austria GmbH, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease affecting 2.9 million people worldwide, often leading to permanent disability. MS patients frequently use eHealth tools due to their relatively young age. The Floodlight Methods: A 10-year decision-analytic model was developed to assess the cost-effectiveness of incorporating the Floodlight Results: For treatment-naive patients, using the Floodlight Conclusion: The analysis demonstrates that the Floodlight

Indexed as

Cost-effectivenesscost-utilitydigital health applicationFloodlight® MSmultiple sclerosis

Identifiers

PMID39911717
PMCPMC11795621

What OpenQuestion holds

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LicenceCC BY-NC
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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.