Re-evaluating Insomnia Severity Index in Clinical Trials
Key Findings and Practical Solutions
Background: The Insomnia Severity Index (ISI) is commonly used to assess insomnia severity, but different research findings have led to variations in defining meaningful within-individual change (MWIC) for treatment response.
Methods: We analyzed data from two large clinical trials of lemborexant to improve the validation of ISI. By using a two-factor solution based on 6 items, we determined the MWIC through different methods, including anchor-based, distribution-based, and ROC curve approaches.
Results: The 6-item two-factor scale demonstrated better psychometric properties than the 7-item scale, and a 5-point reduction in the ISI total score was identified as the MWIC for individuals with insomnia in our patient sample.
Conclusions: Our findings highlight the potential limitations of the 7-item ISI scale and propose a more effective 6-item scale with a defined MWIC. It’s important to consider the generalizability of these results to similar patient populations.
Enhancing Clinical Operations with AI Technology
Practical Value and Solutions
Clinical trials play a crucial role in developing safe and effective treatments, and it’s essential to translate their benefits into everyday medical practice. Our AI-driven platform, DocSym, consolidates ICD-11 standards, clinical protocols, and research, providing clinicians with easy access to comprehensive knowledge.
In today’s healthcare environment, optimizing operations is vital. Our mobile apps support scheduling, treatment monitoring, and telemedicine, facilitating efficient patient care management and digital service expansion.
By leveraging AI, clinics can streamline workflows, improve patient outcomes, and reduce paper-based routines. Explore how our solutions can enhance your practice at aidevmd.com.