Danny Jeganathan Anthonimuthu, Ole Hejlesen, Ann-Dorthe Olsen Zwisler, Flemming Witt Udsen
Application of Machine Learning in Multimorbidity Research: Protocol for a Scoping Review
JMIR research protocols
paper describes development validation health education impact questionnaire heiq aim develop userfriendly relevant psychometrically sound instrument comprehensive evaluation patient education programs applied across broad range chronic conditions item development heiq guided program logic model concept mapping interviews stakeholders psychometric analyses construction n 591 confirmatory n 598 samples drawn consumers patient education programs hospital outpatients properties heiq investigated using item response theory structural equation modeling 90 candidate items generated 42 items selected inclusion final scale eight independent dimensions derived positive active engagement life five items cronbachs alpha 086 health directed behavior four items 080 skill technique acquisition five items 081 constructive attitudes approaches five items 081 selfmonitoring insight seven items 070 health service navigation five items 082 social integration support five items 086 emotional wellbeing six items 089 heiq high construct validity reliable measure broad range patient education program benefits heiq provide valuable information clinicians researchers policymakers stakeholders value patient education programs chronic disease management