Is Public Interest Associated with Real-World Management of Ankyloglossia?

ankyloglossia claims database frenotomy google trends tongue tie

Journal

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
ISSN: 1097-6817
Titre abrégé: Otolaryngol Head Neck Surg
Pays: England
ID NLM: 8508176

Informations de publication

Date de publication:
14 Jan 2024
Historique:
revised: 14 12 2023
received: 14 09 2023
accepted: 23 12 2023
medline: 15 1 2024
pubmed: 15 1 2024
entrez: 14 1 2024
Statut: aheadofprint

Résumé

Assess the relationship between public interest in ankyloglossia as determined by internet search volume and real-world medical claims data. Retrospective Cohort Study. This retrospective cohort study was conducted using claims data from the Merative™ Marketscan® Research Databases. The internet search data was collected from Google Trends. Annual Google Trends data were compiled using search terms associated with "ankyloglossia" and "frenotomy" for the years 2011 to 2021. We obtained incidence of ankyloglossia diagnoses and frenotomy procedures in children under 12 months from Marketscan relative to all infants enrolled. We compared associations between search and incidence data among US states and over time. Google search correlated with ankyloglossia incidence (r = 0.4104, P = .0031) and with frenotomy incidence (r = 0.4062, P = .0034) per state. Ankyloglossia diagnoses increased with Google search index (coefficient = 0.336, 95% confidence interval [CI] 0.284, 0.388) and year (coefficient = 0.028, 95% CI 0.025, 0.031). Similarly, frenotomy procedures increased with Google search index (coefficient = 0.371, 95% CI 0.313, 0.429) and year (coefficient = 0.027, 95% CI 0.024, 0.030). Associations between online ankyloglossia search trends and both diagnosis and treatment rates, persist across US regions and timeframes. Internet search trends are pivotal in shaping pediatric health care decisions, driving clinical consensus, and disseminating evidence-based information.

Identifiants

pubmed: 38219744
doi: 10.1002/ohn.643
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 American Academy of Otolaryngology-Head and Neck Surgery Foundation.

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Auteurs

Danial F Naseem (DF)

Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Palo Alto, California, USA.

Amar H Sheth (AH)

Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Palo Alto, California, USA.

Alan G Cheng (AG)

Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Palo Alto, California, USA.

Z Jason Qian (ZJ)

Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Palo Alto, California, USA.

Classifications MeSH