Catalan
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Laryngoscope 2017-Jun

What drives productivity loss in chronic rhinosinusitis? A SNOT-22 subdomain analysis.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Naweed I Chowdhury
Jess C Mace
Timothy L Smith
Luke Rudmik

Paraules clau

Resum

Previous studies have shown declines in productivity due to chronic rhinosinusitis (CRS) are correlated with disease-specific quality-of-life (QOL) measures. However, it is unclear which symptom domains contribute primarily to productivity loss. This investigation sought to assess the association between CRS-specific QOL subdomain impairment and productivity loss.

Prospective, multi-institutional, observational cohort study.

There were 198 patients with refractory CRS enrolled between August 2012 and June 2015. Baseline QOL measures were obtained across five subdomains of the 22-item SinoNasal Outcome Test (SNOT-22). Lost productivity time was determined from patient-reported measures of annual absenteeism, presenteeism, and lost leisure time, and then monetized using annual daily wage rates from the 2012 US National Census and 2013 Department of Labor statistics.

Productivity losses correlated with impairments in both SNOT-22 psychological dysfunction (Spearman correlation coefficient [Rs] = 0.428, P < .001), and sleep dysfunction domain scores (Rs = 0.355, P < .001). Higher SNOT-22 total scores also significantly correlated with increased monetized productivity losses (Rs = 0.366, P < .001). The mean annual productivity cost was $11,820/patient, whereas patients with comorbid immunodeficiency ($23,285/patient), tobacco use ($23,195/patient), and steroid dependency ($18,910/patient) reported higher than average annual productivity costs. Multivariate linear regression found maximum annual productivity costs in adjusted psychological ($13,300/patient, P < .001) and sleep dysfunction ($9,275/patient, P < .001) domains.

Impairments in sleep and psychological SNOT-22 domains correlate with productivity losses. Patients with comorbid immunodeficiency, smoking, and steroid dependency had higher than average productivity losses. Targeted management of psychological and sleep dysfunction in combination with standard symptom control may improve patient-centered care and reduce the annual economic burden of CRS.

2c. Laryngoscope, 128:23-30, 2018.

Uneix-te a la nostra
pàgina de Facebook

La base de dades d’herbes medicinals més completa avalada per la ciència

  • Funciona en 55 idiomes
  • Cures a base d'herbes recolzades per la ciència
  • Reconeixement d’herbes per imatge
  • Mapa GPS interactiu: etiqueta les herbes a la ubicació (properament)
  • Llegiu publicacions científiques relacionades amb la vostra cerca
  • Cerqueu herbes medicinals pels seus efectes
  • Organitzeu els vostres interessos i estigueu al dia de les novetats, els assajos clínics i les patents

Escriviu un símptoma o una malaltia i llegiu sobre herbes que us poden ajudar, escriviu una herba i vegeu malalties i símptomes contra els quals s’utilitza.
* Tota la informació es basa en investigacions científiques publicades

Google Play badgeApp Store badge