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Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2026

Test-retest reliability and interpretability of Long COVID Burden Index: A prospective observational study.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
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Yamada Gen, Iwamoto Noriko, Miyamori Daisuke, Suzuki Michiyo, Itaya Takahiro, Yamada Yoshie, Morioka Shinichiro, Moriyama Yuki, Ogawa Yusuke, Ohmagari Norio, Yamamoto Yosuke

Аннотация

The Long COVID Burden Index (LCBI) is an 11-item patient-reported outcome measure developed to assess the burden of long COVID symptoms on daily life. Although its cross-sectional validity and internal consistency have been demonstrated, its test-retest reliability, measurement error, and minimal important change (MIC) have not yet been evaluated. We conducted a longitudinal postal survey among adults with a history of COVID-19 hospitalization. The LCBI was administered at the initial survey, 2-week follow-up, and 3-month follow-up. Test-retest reliability was assessed among participants who completed the initial and 2-week surveys and reported no change on a 7-point global rating of change question. Measurement error was evaluated using the standard error of measurement (SEM) and the smallest detectable change (SDC) was calculated. The MIC was estimated at 3 months by using anchor-based methods: the mean change method, receiver operating characteristic curve analysis, and predictive modeling. Among 1031 potential participants, 301 provided valid responses at the initial survey, 258 at the 2-week follow-up, and 208 at the 3-months follow-up. The intraclass correlation coefficient for the LCBI total score was 0.78 (95% confidence interval, 0.72-0.83). The SEM and SDC were 3.26 and 9.04 points, respectively. The MIC estimates ranged from 1.73 to 2.91 points across methods. The LCBI showed good test-retest reliability. A reduction of approximately 2-3 points may represent a minimal important improvement. However, this change is below the SDC and does not provide definitive evidence of change beyond measurement error.