A Meta-Analytic Reliability Generalization Study of the Pediatric Voice Handicap Index.

J VoiceAug 23, 2024 (epub)

Nuri Doğan, Mehmet Taha Eser, Damlasu Yağcıoğlu et al.

✦ AI-curated · Sources linked

In 30 seconds

This meta-analytic reliability generalization study assessed the reliability of the proxy-reported pediatric Voice Handicap Index (pVHI) and whether reliability varied with study characteristics. The analysis included 12 papers published between 2007 and 2022. The pooled mean reliability was approximately 0.916 [0.8840, 0.9401], above the study’s stated acceptable threshold of >0.70; mean stratified Cronbach’s alpha was roughly 0.95. However, reliability estimates varied substantially across studies (I² = 93.90%). The authors reported no differences by index language, participant group, or continent of origin.

Key findings

  • Across 12 papers, mean pVHI reliability was approximately 0.916 [0.8840, 0.9401], exceeding the stated acceptable threshold of >0.70.
  • Mean stratified Cronbach’s alpha was roughly 0.95.
  • Reliability estimates showed substantial heterogeneity (Q ∼ (df = 11) ∼ = 163.6172, P < 0.0001; I² = 93.90%).
  • Reliability was reported as consistent across index language, participant group, and continent of origin.

Why it matters

Reliability is important when interpreting scores from a proxy-reported measure of pediatric voice handicap. The pooled estimates support the pVHI’s consistency overall, while the marked between-study heterogeneity cautions that reliability may not be uniform across settings or samples. The findings help clinicians and researchers assess the measurement properties of the instrument without implying that it measures clinical change or outcomes.

What to keep in mind

The analysis included 12 papers, and reliability estimates varied substantially across studies.

Source

Published in J Voice. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

ShareTelegramLinkedIn

AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

More in Otolaryngology (ENT)

Want this personalized?

Stop searching the literature. Choose what you follow and xxcode will build your personalized medical digest.

  • Your specialties
  • Your filters and thresholds
  • Clinical Research + Case Reports, tuned separately
  • Automatic weekly delivery
  • Audio and text

Prefer listening? Personalized audio digests are available with Pro.

Stay updated for free

Get the 3 most interesting publications in one specialty each week.

Weekly email. Unsubscribe anytime.