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

Seven adults tried a digital epilepsy self-management tool during clinic visits. The study provides early evidence about use and acceptability, not proof that the tool reduces seizures or that its suggested programs are effective.

What does MINDSET 2.0 do?

The tool collects self-management and health information, helps a patient choose goals, and produces an action plan to discuss with a clinician. Its predefined rules can suggest selected epilepsy self-management programs and flag social needs. Rule-based suggestions are different from a diagnosis, a prescription or evidence that a referral will improve outcomes.

How was feasibility studied?

The single-group study took place in Arizona and Texas from March to August 2022. Seven adults used the tool before a regular clinic encounter and discussed their plan with a neurologist. There was no comparison group. One patient did not complete the usability survey, leaving six respondents for that analysis; three neurologists completed their rating scale.

What did patients report?

All six usability respondents rated the information as helpful and the overall tool as easy to use. Three of the six needed assistance, and five considered the time required appropriate. Only one rated a suggested program as appropriate for their needs; four answered that they did not know. Positive first impressions of a tool should not be confused with experience of completing the programs it recommends.

What does the algorithm check establish?

The authors reported complete agreement between the recommendations generated by the software and the recommendations specified by its predefined rules. This checks whether the implementation followed those rules. It does not establish that the rules make the best clinical decisions, that referrals were taken up, or that patients benefited.

What practical limits were found?

The paper describes about 30 additional minutes for the assessment and notes that the tool was not integrated into electronic health records. Most participants used English and only one used Spanish, limiting conclusions about the Spanish version. Recruitment yield could not be calculated because approaches to potential participants and reasons for declining were not systematically tracked. Small, self-selected samples cannot establish readiness for all clinics or patients.

What remains uncertain?

The study did not track repeated visits, use of recommended programs or services, or changes in seizure control attributable to the tool. With six usability respondents, one response represents roughly one-sixth of the group, so percentage thresholds are unstable. This explanation uses the full paper and its item-level table where broader summary wording needs qualification. Feasibility and perceived usefulness are not demonstrated clinical effectiveness.

Kind
Paper metadata
Identifier
PMC13642207

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Worldwide health knowledge / Healthcare records