PURPOSE: There is a lack of comprehensive cost-of-illness studies in bipolar disorder, in particular studies based on patient-level data. The purpose of this study was to estimate the societal cost of bipolar disorder and to relate costs to disease severity, depressive episodes, hospitalisation and patient functioning. METHODS: Retrospective resource use data in inpatient and outpatient care during 2006-2008, as well as ICD-10 diagnoses and Global Assessment of Functioning (GAF) scores, were obtained from the Northern Stockholm psychiatric clinic with a catchment area including 47% of the adult inhabitants in Stockholm. This dataset was combined with national register data on prescription pharmaceuticals and sick leave to estimate the societal cost of bipolar disorder. The study was conducted from a societal perspective, with indirect costs valued according to the human capital method. RESULTS: The average annual cost per patient was <euro>28,011 in 2008 (n = 1,846). Indirect costs due to sick leave and early retirement represented 75%, inpatient costs 13%, outpatient costs 8%, pharmaceuticals 2% and community care another 2% of the total cost. Total costs were considerably higher during mood episodes (six times higher than in remission), for hospitalised patients (<euro>55,500 vs. <euro>22,200) and for patients with low GAF scores. CONCLUSIONS: The high cost of bipolar disorder is driven primarily by indirect costs. Costs were strongly associated with mood episodes, hospitalisations and low GAF scores. This suggests that treatment that reduces the risk for relapses and hospitalizations and improve functioning may decrease both the societal cost of bipolar disorder and patient suffering.
PURPOSE: There is a lack of comprehensive cost-of-illness studies in bipolar disorder, in particular studies based on patient-level data. The purpose of this study was to estimate the societal cost of bipolar disorder and to relate costs to disease severity, depressive episodes, hospitalisation and patient functioning. METHODS: Retrospective resource use data in inpatient and outpatient care during 2006-2008, as well as ICD-10 diagnoses and Global Assessment of Functioning (GAF) scores, were obtained from the Northern Stockholm psychiatric clinic with a catchment area including 47% of the adult inhabitants in Stockholm. This dataset was combined with national register data on prescription pharmaceuticals and sick leave to estimate the societal cost of bipolar disorder. The study was conducted from a societal perspective, with indirect costs valued according to the human capital method. RESULTS: The average annual cost per patient was <euro>28,011 in 2008 (n = 1,846). Indirect costs due to sick leave and early retirement represented 75%, inpatient costs 13%, outpatient costs 8%, pharmaceuticals 2% and community care another 2% of the total cost. Total costs were considerably higher during mood episodes (six times higher than in remission), for hospitalised patients (<euro>55,500 vs. <euro>22,200) and for patients with low GAF scores. CONCLUSIONS: The high cost of bipolar disorder is driven primarily by indirect costs. Costs were strongly associated with mood episodes, hospitalisations and low GAF scores. This suggests that treatment that reduces the risk for relapses and hospitalizations and improve functioning may decrease both the societal cost of bipolar disorder and patient suffering.
Authors: C E Begley; J F Annegers; A C Swann; C Lewis; S Coan; W B Schnapp; L Bryant-Comstock Journal: Pharmacoeconomics Date: 2001 Impact factor: 4.981
Authors: Marie de Zelicourt; Roland Dardennes; Hélène Verdoux; Gian Gandhi; Babak Khoshnood; Eric Chomette; Marie-Laure Papatheodorou; Eric T Edgell; Christian Even; Francis Fagnani Journal: Pharmacoeconomics Date: 2003 Impact factor: 4.981
Authors: L Hakkaart-van Roijen; M B Hoeijenbos; E J Regeer; M ten Have; W A Nolen; C P W M Veraart; F F H Rutten Journal: Acta Psychiatr Scand Date: 2004-11 Impact factor: 6.392
Authors: Alexander Viktorin; Eleonore Rydén; Michael E Thase; Zheng Chang; Cecilia Lundholm; Brian M D'Onofrio; Catarina Almqvist; Patrik K E Magnusson; Paul Lichtenstein; Henrik Larsson; Mikael Landén Journal: Am J Psychiatry Date: 2016-10-03 Impact factor: 18.112
Authors: Joel Jakobsson; Maria Bjerke; Carl Johan Ekman; Carl Sellgren; Anette G M Johansson; Henrik Zetterberg; Kaj Blennow; Mikael Landén Journal: Neuropsychopharmacology Date: 2014-04-03 Impact factor: 7.853
Authors: Sindre Rolstad; Joel Jakobsson; Carl Sellgren; Carl-Johan Ekman; Kaj Blennow; Henrik Zetterberg; Erik Pålsson; Mikael Landén Journal: PLoS One Date: 2015-05-08 Impact factor: 3.240
Authors: N Yoshimi; T Futamura; S E Bergen; Y Iwayama; T Ishima; C Sellgren; C J Ekman; J Jakobsson; E Pålsson; K Kakumoto; Y Ohgi; T Yoshikawa; M Landén; K Hashimoto Journal: Mol Psychiatry Date: 2016-01-19 Impact factor: 15.992
Authors: Konstantinos N Fountoulakis; Allan Young; Lakshmi Yatham; Heinz Grunze; Eduard Vieta; Pierre Blier; Hans Jurgen Moeller; Siegfried Kasper Journal: Int J Neuropsychopharmacol Date: 2017-02-01 Impact factor: 5.176