Evidence map›Paper›PMID 30915721›Full record

ArticleNeurology and therapy2019

PatientConcept App: Key Characteristics, Implementation, and its Potential Benefit.

Michael Lang, Martin Mayr, Stefan Ringbauer, Lukas Cepek

Abstract read
In one paragraph

Article in Neurology and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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  5. Review
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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

4 authors.

Michael LangNervenfachärztliche Gemeinschaftspraxis Ulm, and NeuroPoint GmbH, Ulm, Germany. lang@neurologie-ulm.de.
Martin MayrNeuroSys GmbH, Ulm, Germany.
Stefan RingbauerNeuroSys GmbH, Ulm, Germany.
Lukas CepekNervenfachärztliche Gemeinschaftspraxis Ulm, and NeuroPoint GmbH, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn addition to a wide range of disease-related burdens, patients with multiple sclerosis (MS) are challenged by long-term medication and complex disease management plans, often leading to decreased adherence. Earlier studies have indicated that patient support through intensified communication can positively impact adherence. During recent years, the use of mobile health applications has gained importance in patient communication and disease management.

objectiveOur objective was to describe a novel software application providing innovative features that engage patient-physician contact and to evaluate users' acceptance.

methodsA novel software application ensuring data security was developed. Various innovative modules have been implemented, enabling bidirectional communication between treating physicians and patients, supporting therapy monitoring and management, and allowing the collection of large sets of anonymous patient data. The currently conducted FASTER study will analyze the acceptance of patients and physicians using this novel application.

resultsPatientConcept is a free app available for download since 2016. Meanwhile, it has been successfully implemented. First preliminary results indicate high acceptance among users. The clinical benefit will have to be tested in larger patient populations.

conclusionThis ID-associated application may provide a secure, feasible, and cost-optimized possibility to intensify and simplify the communication between patients and their treating physicians, thus promising an exceptional benefit to both.

Indexed as

AdherenceChronic diseaseCommunicationmHealthMultiple sclerosisSecure data managementSoftware application

Identifiers

PMID30915721
PMCPMC6534645

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.