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RQLQ×Sinonasal Outcome Test-22 (SNOT-22)×
ГалузьПульмонологіяПульмонологія
РодинаProcess / pipelineProcess / pipeline
Рік появи19962009
Автор методуElizabeth F. Juniper, McMaster UniversityClaire Hopkins, King's College London
ТипSelf-report questionnaireSelf-report questionnaire
Основоположне джерелоJuniper, E. F., Guyatt, G. H., Streiner, D. L., & King, D. R. (1996). Clinical validation and responsiveness of three scales developed to measure the effect of allergic rhinitis on quality of life. Journal of Clinical Epidemiology, 49(3), 339-347. link ↗Hopkins, C., Gillett, S., Slack, R., Lund, V. J., & Browne, J. P. (2009). Psychometric validity of the 22-item Sinonasal Outcome Test. Clinical Otolaryngology, 34(5), 447-454. DOI ↗
Інші назвиRQLQ, Rhinoconjunctivitis QoLSNOT-22, SNOT
Пов'язані55
ПідсумокThe RQLQ is a 28-item disease-specific quality-of-life instrument developed by Juniper and colleagues at McMaster University in 1996 to assess the impact of allergic rhinitis and allergic conjunctivitis on daily functioning. It captures symptom burden and activity limitation across seven domains: sleep, non-nose/eye symptoms, practical problems, nasal symptoms, eye symptoms, activity limitation, and emotional function. The RQLQ is the preferred outcome measure in allergic rhinitis clinical trials and is widely used in allergy and immunology practice to track treatment response.The SNOT-22 is a 22-item disease-specific quality-of-life questionnaire designed to assess sino-nasal symptoms and their functional impact on patients with chronic rhinosinusitis, nasal polyposis, and allied conditions. Developed by Hopkins and colleagues at King's College London in 2009, it has become the most widely used instrument for measuring sino-nasal disease burden in clinical trials and rhinological practice. The SNOT-22 provides rapid, patient-centered assessment of both nasal-specific symptoms (congestion, drainage, sneezing) and general health impacts (sleep, headache, concentration).
ScholarGateНабір даних
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  2. 2 Джерела
  3. PUBLISHED
  1. v1
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ScholarGateПорівняння методів: RQLQ · SNOT-22. Отримано 2026-06-20 з https://scholargate.app/uk/compare