STUDY OBJECTIVES: To evaluate the burden of narcolepsy--with respect to psychiatric comorbidities, Health-Related Quality of Life (HRQoL), direct costs for healthcare resource utilization, and indirect costs for reported work loss-through comparison of patients to matched controls. METHODS: This analysis was conducted on data from the 2011, 2012, and 2013 US National Health and Wellness Survey (NHWS; 2011 NHWS n = 75,000, 2012 NHWS n = 71,157, and 2013 NHWS n = 75,000). Patients who reported a narcolepsy diagnosis (n = 437) were matched 1:2 with controls (n = 874) on age, sex, race/ethnicity, marital status, education, household income, body mass index, smoking status, alcohol use, exercise, and physical comorbidity. Chi-square tests and one-way analyses of variance were used to assess whether the narcolepsy and control groups differed on psychiatric comorbidities, HRQoL, labor force participation, work productivity, and healthcare resource utilization. RESULTS: Patients with narcolepsy, in comparison to matched controls, reported substantially (two to four times) greater psychiatric comorbidity, HRQoL impairment, prevalence of long-term disability, absenteeism, and presenteeism, and greater resource use in the past 6 mo as indicated by higher mean number of hospitalizations, emergency department visits, traditional healthcare professional visits, neurologist visits, and psychiatrist visits (each p < 0.05). CONCLUSIONS: These population-based data suggest that a narcolepsy diagnosis is associated with substantial adverse impact on mental health, HRQoL, and key economic burdens that include work impairment, resource use, and both direct and indirect costs. Although this study is cross-sectional, the results highlight the magnitude of the potential opportunity to improve mental health, lower costs, and augment work-related productivity through effective assessment and treatment of narcolepsy.
STUDY OBJECTIVES: To evaluate the burden of narcolepsy--with respect to psychiatric comorbidities, Health-Related Quality of Life (HRQoL), direct costs for healthcare resource utilization, and indirect costs for reported work loss-through comparison of patients to matched controls. METHODS: This analysis was conducted on data from the 2011, 2012, and 2013 US National Health and Wellness Survey (NHWS; 2011 NHWS n = 75,000, 2012 NHWS n = 71,157, and 2013 NHWS n = 75,000). Patients who reported a narcolepsy diagnosis (n = 437) were matched 1:2 with controls (n = 874) on age, sex, race/ethnicity, marital status, education, household income, body mass index, smoking status, alcohol use, exercise, and physical comorbidity. Chi-square tests and one-way analyses of variance were used to assess whether the narcolepsy and control groups differed on psychiatric comorbidities, HRQoL, labor force participation, work productivity, and healthcare resource utilization. RESULTS:Patients with narcolepsy, in comparison to matched controls, reported substantially (two to four times) greater psychiatric comorbidity, HRQoL impairment, prevalence of long-term disability, absenteeism, and presenteeism, and greater resource use in the past 6 mo as indicated by higher mean number of hospitalizations, emergency department visits, traditional healthcare professional visits, neurologist visits, and psychiatrist visits (each p < 0.05). CONCLUSIONS: These population-based data suggest that a narcolepsy diagnosis is associated with substantial adverse impact on mental health, HRQoL, and key economic burdens that include work impairment, resource use, and both direct and indirect costs. Although this study is cross-sectional, the results highlight the magnitude of the potential opportunity to improve mental health, lower costs, and augment work-related productivity through effective assessment and treatment of narcolepsy.
Authors: Karel Sonka; David Kemlink; Jitka Busková; Martin Pretl; Zuzana Srůtková; Eszter Maurovich Horvat; Pavel Vodicka; Veronika Poláková; Sona Nevsímalová Journal: Neuro Endocrinol Lett Date: 2010 Impact factor: 0.765
Authors: Pierre Philip; Patricia Sagaspe; Emmanuel Lagarde; Damien Leger; Maurice M Ohayon; Bernard Bioulac; Jacques Boussuge; Jacques Taillard Journal: Sleep Med Date: 2010-10-18 Impact factor: 3.492
Authors: Richard Dodel; Helga Peter; Tobias Walbert; Annika Spottke; Carmen Noelker; Karin Berger; Uwe Siebert; Wolfgang H Oertel; Karl Kesper; Heinrich F Becker; Geert Mayer Journal: Sleep Date: 2004-09-15 Impact factor: 5.849
Authors: Lawrence P Carter; Jack E Henningfield; Y Grace Wang; Yuan Lu; Debra Kelsh; Bradley Vince; Edward Sellers Journal: J Psychopharmacol Date: 2018-10-01 Impact factor: 4.153