Kuo-Liang Chiang, Chin-Yin Huang, Liang-Po Hsieh, Kai-Ping Chang
A propositional AI system for supporting epilepsy diagnosis based on the 2017 epilepsy classification: Illustrated by Dravet syndrome
Epilepsy & behavior : E&B
patient engagement partners diabetes prevention family membersclose relatives novel underexplored approach paper aims assess patients willingness confidence ability succeed health educators family members investigate influencing factors crosssectional descriptive study conducted january 2023 april 2023 newly developed validated selfreported questionnaire based health belief model hbm previous research administered convenient sample 134 adult participants diagnosed diabetes participants sought care primary healthcare clinics king abdulaziz medical city ministry national guard health affairs riyadh jeddah mngha data examined using statistical methods including descriptive analysis anova tukeys hsd honestly significant difference post hoc tests pearsons correlation coefficients majority participants expressed willingness assume role health educators family members n 117 8731 reported high level willingness confidence indicated selfefficacy scores ranging 1200 2500 mean 2112 sd 276 participants willingness health educators exhibited positive correlations perceptions diabetes severity susceptibility r 433 p 01 perceived benefits barriers r 451 p 01 cues action r 520 p 01 selfefficacy r 789 p 01 total score questionnaire r 640 p 01 majority participants expressed willingness assume role health educators family members significant portion reported confidence capacity accomplish objective healthcare providers emphasize importance equipping patients skills knowledge necessary effectively convey health messages serve health educators within communities expansion approach holds potential significant impact public health strategies diabetes prevention