Development of a Sleep Apnea-Specific Health State Utility Algorithm.

Area of Science:

• Health Economics
• Patient-Reported Outcomes
• Sleep Medicine

Background:

• Economic evaluations increasingly require patient utility measures.
• Obstructive sleep apnea (OSA) populations need specific utility assessment tools.

Purpose of the Study:

• To develop and validate a utility scoring algorithm for a sleep apnea-specific quality-of-life instrument.
• To create a reliable measure for economic evaluations in OSA.

Main Methods:

• Developed a utility scoring algorithm using multiple linear regression.
• Mapped the Symptoms of Nocturnal Obstruction and Related Events (SNORE-25) to the SF-6D utility index.
• Validated the algorithm in a separate cohort of OSA patients.

Main Results:

• The SNORE Utility Index was developed using a natural log transformation of SNORE-25 subscales.
• The model demonstrated good predictive validity in both development (r²=0.32) and validation (r²=0.33) samples.
• Mean SF-6D utility in untreated OSA patients was 0.61, with no significant differences across severity groups.

Conclusions:

• The SNORE Utility Index is a validated, disease-specific instrument for measuring utility in OSA patients.
• This tool can be utilized in future economic evaluations and research involving obstructive sleep apnea.