AI Article Synopsis

  • The paper discusses the development and feasibility of a longitudinal version of MINDSET, a clinical tool aimed at improving epilepsy self-management for patients and healthcare providers.
  • It builds on previous research that highlighted MINDSET's effectiveness in identifying self-management issues during clinic visits and evaluates its performance over multiple visits with an action plan.
  • Findings suggest that MINDSET is effective in facilitating discussions about self-management, providing tailored goals, and tracking changes in epilepsy characteristics over time.

Article Abstract

The purpose of this paper is to report on the development and feasibility of the longitudinal version of MINDSET, a clinical tool to assist patients and health-care providers in epilepsy self-management. A previous study described the feasibility of using MINDSET to identify and prioritize self-management issues during a clinic visit. This paper describes the development of the longitudinal version of MINDSET and feasibility test over multiple visits with a printed action plan for goal setting and the capacity for monitoring changes in self-management. Feasibility was assessed based on 1) postvisit patient and provider interviews addressing ease of use and usefulness, patient/provider communication, and shared decision-making and 2) the capacity of the tool to monitor epilepsy characteristics and self-management over time. Results indicate MINDSET feasibility for 1) identifying and facilitating discussion of self-management issues during clinic visits, 2) providing a printable list of prioritized issues and tailored self-management goals, and 3) tracking changes in epilepsy characteristics and self-management over time.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.yebeh.2014.12.031DOI Listing

Publication Analysis

Top Keywords

feasibility mindset
8
self-management
8
epilepsy self-management
8
longitudinal version
8
version mindset
8
self-management issues
8
issues clinic
8
mindset feasibility
8
epilepsy characteristics
8
characteristics self-management
8

Similar Publications

Introduction: Interpretation and utilization of qualitative feedback from participants has immense value for program evaluation. Reliance on only quantitative data runs the risk of losing the lived patient experience, forcing their outcomes to fit into our predefined objectives.

Objectives: Using large language models (LLMs), program directors may begin to employ rich, qualitative feedback expediently.

View Article and Find Full Text PDF

Digital technologies are now integral to daily life. However, their applications for the health of populations remain largely untapped. Increasing cancer incidence, and it being the leading cause of death in every country in the world, justifies the need for increasing healthcare.

View Article and Find Full Text PDF
Article Synopsis
  • The study assesses the challenges and feasibility of recruiting patients in the emergency department (ED) for research purposes over a period from June 2018 to September 2023.
  • Research coordinators invested nearly 2817 hours into this process, resulting in a 31.94% enrollment rate from 485 approached patients, influenced by factors like financial limits and the COVID-19 pandemic.
  • The findings indicate that with proper staffing and funding, emergency patient recruitment is viable, highlighting the need for standardized assessments to improve future research in the ED.
View Article and Find Full Text PDF

Background: Medical Foundation Year (FY) doctors demonstrate greater psychological distress compared with the general population and other student groups. This feasibility study investigated FY doctors' perceptions of mindfulness and the impact of a mindful resilience and effectiveness training (MRET) programme on stress, wellbeing, and performance.

Methods: Mixed-methods study utilising a questionnaire (study 1, N = 144) and a pre-post analysis design of MRET programme (study 2, N = 13), along with focus groups (N = 7).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!