MINDSETPLUS: THE ‘MANAGEMENT AND INFORMATION DECISION SUPPORT EPILEPSY TOOL’ TO PROMOTE ASSESSMENT, GOAL-BASED SKILLS TRAINING, AND SERVICE LINKAGE FOR PEOPLE WITH EPILEPSY

Ross Shegog, Refugio Sepulveda, Katarzyna Czerniak, Rosalia Guerrero, Alejandra Garcia-Quintana, Robert Addy, Kimberly Martin, Latasha Jackson, David Labiner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Introduction: People with epilepsy can adhere to epilepsy self-management behaviors to improve seizure control, medication adherence, and lifestyle factors that contribute to seizures. Responsive online interventions can assist patients and providers to assess self-management, set treatment goals, and decide on education and social service programs. The Management Information & Decision Support Epilepsy Tool (MINDSET) is a bilingual online program designed to improve patient-provider communication to enhance epilepsy self-management. MINDSET may have utility for community health workers when assisting patients to improve their self-management. Purpose: To enhance MINDSET to include recommendations for education and social service programs (‘MINDSETPlus’) and to establish an implementation framework to facilitate use of MINDSETPlus by community health workers in community-based neurology clinics. Methods: An expert advisory group, comprising stakeholders from the Epilepsy Foundations in Texas and the Universities of Texas and Arizona provided formative review and consensus on MINDSET enhancements. Implementation theory and expert consensus informed a phased implementation framework. Results: MINDSETPlus enables patients to assess their self-management, select behavioral goals (for seizure, medication and lifestyle management), receive recommendations for further training tailored on current self-management and/or co-morbidities (depression and memory), and cue their community health worker to priority social determinants. A phased framework was derived for onboarding, training and implementing the MINDSETPlus-mediated intervention in neurology clinics. Conclusion: MINDSETPlus provides decision support for community health workers that may improve fidelity and metrics for quality improvement and assist to navigate, assess, reinforce, educate, and link epilepsy patients to community programs and services. Feasibility and efficacy testing of the intervention is in progress.

Original languageEnglish (US)
Title of host publication15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
PublisherIADIS Press
Pages274-278
Number of pages5
ISBN (Electronic)9789898704405
StatePublished - 2022
Event15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022 - Lisbon, Portugal
Duration: Jul 19 2022Jul 22 2022

Publication series

Name15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022

Conference

Conference15th International Conference on ICT, Society and Human Beings, ICT 2022, 19th International Conference on Web Based Communities and Social Media, WBC 2022 and 14th International Conference on e-Health, EH 2022 - Held at the 16th Multi Conference on Computer Science and Information Systems, MCCSIS 2022
Country/TerritoryPortugal
CityLisbon
Period7/19/227/22/22

Keywords

  • Chronic Disease
  • Community Health Workers
  • Decision Support
  • Epilepsy
  • Self-Management
  • eHealth

ASJC Scopus subject areas

  • General Computer Science

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