ALGILANAN İNME ETKİSİNE GÖRE İNME LATENT SINIFLARININ BELİRLENMESİ

Abstract

In this study, the perceived impact of stroke in adult individuals who have had a stroke was examined using the Stroke Impact Scale (SIS), and participants were classified according to their participation parameter and perceptions of the stroke. Assessments were conducted face-to-face with 696 stroke patients who applied to Tavşanlı Doç. Dr. Mustafa Kalemli State Hospital. The SIS was used to evaluate the strength, hand function, activities of daily living, mobility, communication, emotion, memory, and participation of the participants. The Barthel Index of Activities of Daily Living was used to assess their independence in daily living activities, and the Impact on Participation and Autonomy Questionnaire (IPA) was used to measure their participation in daily and social life. The data were analyzed using Jamovi 3.24. SIS was used for LPA analysis. Various goodness-of-fit indices such as Akaike’s Information Criterion (AIC), Bayesian Information Criterion (BIC), and Sample Size- Adjusted BIC (SABIC) were used to determine the number of latent profiles. Additionally, the Bootstrap Likelihood Ratio Test (BLRT) and Lo-Mendell-Rubin (LMR) tests, which use the likelihood ratio, were calculated to compare models. The study found that participants were divided into three classes. These three classes were; the first group with average function, the second group with high function, and the third group with low function. It is thought that our study, by classifying individuals with stroke in the Turkish community and allowing for the examination of their skills and perceptions of the disease in all aspects, will facilitate the determination of more targeted and more holistic approaches, thereby guiding the creation of the correct intervention plan.