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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mobile Software as a Medical Device (SaMD) for the Treatment of Epilepsy: Development of Digital Therapeutics Comprising Behavioral and Music-Based Interventions for Neurological Disorders
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, May 2018
|
| DOI | 10.3389/fnhum.2018.00171 |
| Pubmed ID | |
| Authors |
Pegah Afra, Carol S. Bruggers, Matthew Sweney, Lilly Fagatele, Fareeha Alavi, Michael Greenwald, Merodean Huntsman, Khanhly Nguyen, Jeremiah K. Jones, David Shantz, Grzegorz Bulaj |
| Abstract |
Digital health technologies for people with epilepsy (PWE) include internet-based resources and mobile apps for seizure management. Since non-pharmacological interventions, such as listening to specific Mozart's compositions, cognitive therapy, psychosocial and educational interventions were shown to reduce epileptic seizures, these modalities can be integrated into mobile software and delivered by mobile medical apps as digital therapeutics. Herein, we describe: (1) a survey study among PWE about preferences to use mobile software for seizure control, (2) a rationale for developing digital therapies for epilepsy, (3) creation of proof-of-concept mobile software intended for use as an adjunct digital therapeutic to reduce seizures, and (4) broader applications of digital therapeutics for the treatment of epilepsy and other chronic disorders. A questionnaire was used to survey PWE with respect to preferred features in a mobile app for seizure control. Results from the survey suggested that over 90% of responders would be interested in using a mobile app to manage their seizures, while 75% were interested in listening to specific music that can reduce seizures. To define digital therapeutic for the treatment of epilepsy, we designed and created a proof-of-concept mobile software providing digital content intended to reduce seizures. The rationale for all components of such digital therapeutic is described. The resulting web-based app delivered a combination of epilepsy self-care, behavioral interventions, medication reminders and the antiseizure music, such as the Mozart's sonata K.448. To improve long-term patient engagement, integration of mobile medical app with music and multimedia streaming via smartphones, tablets and computers is also discussed. This work aims toward development and regulatory clearance of software as medical device (SaMD) for seizure control, yielding the adjunct digital therapeutic for epilepsy, and subsequently a drug-device combination product together with specific antiseizure medications. Mobile medical apps, music, therapeutic video games and their combinations with prescription medications present new opportunities to integrate pharmacological and non-pharmacological interventions for PWE, as well as those living with other chronic disorders, including depression and pain. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 36% |
| Switzerland | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 278 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 15% |
| Researcher | 35 | 13% |
| Student > Ph. D. Student | 24 | 9% |
| Student > Doctoral Student | 23 | 8% |
| Student > Bachelor | 21 | 8% |
| Other | 38 | 14% |
| Unknown | 95 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 47 | 17% |
| Medicine and Dentistry | 29 | 10% |
| Nursing and Health Professions | 16 | 6% |
| Computer Science | 14 | 5% |
| Neuroscience | 12 | 4% |
| Other | 47 | 17% |
| Unknown | 113 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 December 2018.
All research outputs
#1,431,007
of 23,577,761 outputs
Outputs from Frontiers in Human Neuroscience
#672
of 7,319 outputs
Outputs of similar age
#32,683
of 327,461 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#8
of 141 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.