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

Naweed I. Chowdhury, Jess C. Mace, Timothy Smith, Luke Rudmik

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Objectives/Hypothesis: 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. Study Design: Prospective, multi-institutional, observational cohort study. Methods: 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. Results: 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. Conclusions: 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.

Original languageEnglish (US)
JournalLaryngoscope
DOIs
StateAccepted/In press - 2017

Fingerprint

Efficiency
Sleep
Psychology
Quality of Life
Costs and Cost Analysis
Drive
Steroids
Absenteeism
Patient-Centered Care
Salaries and Fringe Benefits
Leisure Activities
Tobacco Use
Censuses
Observational Studies
Linear Models
Cohort Studies
Smoking
Economics
Prospective Studies

Keywords

  • Chronic disease
  • Cost of illness
  • Efficiency
  • Paranasal sinuses
  • Quality of life
  • Sinusitis

ASJC Scopus subject areas

  • Otorhinolaryngology

Cite this

What drives productivity loss in chronic rhinosinusitis? A SNOT-22 subdomain analysis. / Chowdhury, Naweed I.; Mace, Jess C.; Smith, Timothy; Rudmik, Luke.

In: Laryngoscope, 2017.

Research output: Contribution to journalArticle

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abstract = "Objectives/Hypothesis: 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. Study Design: Prospective, multi-institutional, observational cohort study. Methods: 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. Results: 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. Conclusions: 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.",
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N2 - Objectives/Hypothesis: 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. Study Design: Prospective, multi-institutional, observational cohort study. Methods: 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. Results: 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. Conclusions: 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.

AB - Objectives/Hypothesis: 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. Study Design: Prospective, multi-institutional, observational cohort study. Methods: 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. Results: 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. Conclusions: 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.

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KW - Cost of illness

KW - Efficiency

KW - Paranasal sinuses

KW - Quality of life

KW - Sinusitis

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