Evidence map›Paper›PMID 42845746›Full record

ArticleFrontiers in neurology2026

MINDSET 2.0: feasibility of digital decision support for epilepsy self-management.

Refugio Sepulveda, Ross Shegog, Katarzyna Czerniak, Robert Addy, Kimberly Martin, Tomas Nuño, Sheila Soto, Abdul Tawab Saljuqi, Ramses Sepulveda, David Labiner

Abstract read
In one paragraph

Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Refugio SepulvedaMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.
Ross ShegogDepartment of Health Promotion and Behavioral Science, UTHealth School of Public Health, Houston, TX, United States.
Katarzyna CzerniakDepartment of Health Promotion and Behavioral Science, UTHealth School of Public Health, Houston, TX, United States.
Robert AddyDepartment of Health Promotion and Behavioral Science, UTHealth School of Public Health, Houston, TX, United States.
Kimberly MartinEpilepsy Foundation Central & South Texas, San Antonio, TX, United States.
Tomas NuñoMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.
Sheila SotoMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.
Abdul Tawab SaljuqiMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.
Ramses SepulvedaMel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States.
David LabinerDepartment of Neurology, College of Medicine, University of Arizona, Tucson, AZ, United States.

Funding

NCCDPHP CDC HHS U48 DP006413
6 · The paper itself

Abstract

Background: The Managing Epilepsy Well Network (MEWN) epilepsy self-management (ESM) training programs assist people with epilepsy (PWE) in improving their ESM and co-morbidities. The online bilingual Management Information & Decision Support Epilepsy Tool (MINDSET) was enhanced to provide recommendations for these programs and to assess non-medical drivers of health (NMDH). Purpose: This study aimed to assess the feasibility of MINDSET 2.0, guided by Bowen et al.'s feasibility framework, and its perceived efficacy in providing PWE and healthcare providers with a tailored goal-based action plan, including ESM program recommendations and identified NMDH. Methods: A single-group feasibility trial was conducted from March to August 2022 with seven adult PWE in Arizona ( Results: Participants rated MINDSET 2.0 as acceptable, likable, credible, easy to use, appealing (100% agreement), of appropriate duration (83%), easy to understand (67%), impactful for managing epilepsy (75-100%), and found the program helpful (100%). The MINDSET 2.0 recommendation algorithms demonstrated 100% agreement between programmed and generated recommendations, confirming that the software executed the predefined decision rules as intended. Clinical feasibility of MINDSET 2.0 was evaluated separately through usability, acceptability, and implementation-related measures. Three participants needed help using MINDSET 2.0 (50%). Neurologists ( Conclusion: In addition to generating an ESM action plan, MINDSET 2.0 may be feasible in assisting PWE and neurologists in decision-making regarding the most suitable MEWN ESM training programs and the most pressing NMDH. Given that no participants reported prior experience with MEW programs, these ratings likely reflect participants' familiarity with and initial impressions of the recommended interventions rather than direct evaluations of their value or effectiveness. Further efficacy testing is required.

Indexed as

Decision Support TechniquesEpilepsySelf-ManagementAdultArizonaDigital HealthFeasibility StudiesFemaleHumansMaleMiddle Agedclinical decision supportdigital healthepilepsy comorbiditiesepilepsy self-managementfeasibility studyquality of lifesocial determinants of health

Identifiers

PMID42845746
PMCPMC13642207

What OpenQuestion holds

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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.