Evidence map›Paper›PMID 35785344›Full record

ArticleFrontiers in neurology2022

Study Design and Protocol of a Randomized Controlled Trial of the Efficacy of a Smartphone-Based Therapy of Migraine (SMARTGEM).

Ana Sofia Oliveira Gonçalves, Inga Laumeier, Maxi Dana Hofacker, Bianca Raffaelli, Philipp Burow, Markus A Dahlem, Simon Heintz, Tim Patrick Jürgens, Steffen Naegel, Florian Rimmele and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

14 authors at 6 institutions in 1 country.

Ana Sofia Oliveira GonçalvesInstitute of Public Health, Corporate Member of Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Humboldt Universität zu Berlin, Berlin, Germany.
Inga LaumeierDepartment of Neurology, Corporate Member of Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Humboldt Universität zu Berlin, Berlin, Germany.
Maxi Dana HofackerKath. Marienkrankenhaus gGmbH, Hamburg, Germany.
Bianca RaffaelliDepartment of Neurology, Corporate Member of Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Humboldt Universität zu Berlin, Berlin, Germany.
Philipp BurowDepartment of Neurology, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
Markus A DahlemNewsenselab GmbH, Berlin, Germany.
Simon HeintzDepartment of Neurology, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
Tim Patrick JürgensDepartment of Neurology, University of Rostock, Rostock, Germany.
Steffen NaegelDepartment of Neurology, University Hospital Halle, Martin-Luther-University Halle-Wittenberg, Wittenberg, Germany.
Florian RimmeleDepartment of Neurology, University of Rostock, Rostock, Germany.
Simon SchollerNewsenselab GmbH, Berlin, Germany.
Tobias KurthInstitute of Public Health, Corporate Member of Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Humboldt Universität zu Berlin, Berlin, Germany.
Uwe ReuterDepartment of Neurology, Corporate Member of Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Humboldt Universität zu Berlin, Berlin, Germany.
Lars NeebDepartment of Neurology, Corporate Member of Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Humboldt Universität zu Berlin, Berlin, Germany.
Humboldt-Universität zu Berlin · DEMartin Luther University Halle-Wittenberg · DEFreie Universität Berlin · DEUniversity of Rostock · DECharité - Universitätsmedizin Berlin · DEMarienkrankenhaus Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digitalization and electronic health (eHealth) offer new treatment approaches for patients with migraine. Current smartphone applications (apps) for migraine patients include a wide spectrum of functions ranging from digital headache diaries to app-based headache treatment by, among others, analysis of the possible triggers, behavioral therapy approaches and prophylactic non-drug treatment methods with relaxation therapy or endurance sport. Additional possibilities arise through the use of modern, location-independent communication methods, such as online consultations. However, there is currently insufficient evidence regarding the benefits and/or risks of these electronic tools for patients. To date, only few randomized controlled trials have assessed eHealth applications. Methods: SMARTGEM is a randomized controlled trial assessing whether the provision of a new digital integrated form of care consisting of the migraine app M-sense in combination with a communication platform (with online consultations and medically moderated patient forum) leads to a reduction in headache frequency in migraine patients, improving quality of life, reducing medical costs and work absenteeism (DRKS-ID: DRKS00016328). Discussion: SMARTGEM constitutes a new integrated approach for migraine treatment, which aims to offer an effective, location-independent, time-saving and cost-saving treatment. The design of the study is an example of how to gather high quality evidence in eHealth. Results are expected to provide insightful information on the efficacy of the use of electronic health technology in improving the quality of life in patients suffering from migraine and reducing resource consumption.

Indexed as

eHealthintegrated caremigrainesmartphone application (app)teleconference

Identifiers

PMID35785344
PMCPMC9243352
OpenAlexW4282975217

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.