| Literature DB >> 31706270 |
Joelle Constantin1, Petar Atanasov2, Daniel Wirth3, Andras Borsi4.
Abstract
BACKGROUND: The economic burden of ulcerative colitis (UC), specifically related to indirect costs, is not extensively documented. Understanding and quantifying it is required by health care decision makers. AIM: To assess the impact of indirect costs of UC in observation studies.Entities:
Keywords: Financial burden; Indirect costs; Inflammatory bowel disease; Productivity loss; Real world evidence; Systematic literature review; Ulcerative colitis
Mesh:
Year: 2019 PMID: 31706270 PMCID: PMC6842452 DOI: 10.1186/s12876-019-1095-9
Source DB: PubMed Journal: BMC Gastroenterol ISSN: 1471-230X Impact factor: 3.067
Fig. 1PRISMA chart for economic burden SLR
Characteristics of identified studies
| Author, year | Country | Study population | Characteristics of study population | Follow up duration |
|---|---|---|---|---|
| Kawalec et al. 2017 [ | Poland | Patients with UC | Disease duration 26.35 years | October 2015- Q1 2016 |
| Van Der Valk et al. 2016 [ | The Netherlands | IBD patients | Disease duration 16 years | 2 years |
| Malinowski et al. 2016 [ | Poland | UC patients | NR | |
| Aldeguer et al. 2016 [ | Spain | Patients with UC | 12 months | |
| Cohen et al. 2015 [ | USA | UC patients | 2 years (1 year baseline period and 1 year study period) | |
| Van Der Valk et al. 2014 [ | The Netherlands | IBD Patients | Disease duration 13.3 years | 3 months |
| Meek et al. 2013 [ | USA | Patients with UC | 12 months | |
| Cohen et al. 2012 [ | USA | UC patients | 2 years | |
| Kostic et al. 2015 [ | Serbia | Patients with UC | NR | |
| Van Der Valk et al. 2012 [ | The Netherlands | Patients with IBD | 2 years | |
| Cannon et al. 2011 [ | NR | IBD patients | NR | |
| Gibson et al. 2008 [ | USA | Patients with CD and UC | NR | |
| Mandel M et al. 2014 [ | Hungary | IBD patients | Disease duration 9.9 years | NR |
| Katz Avitan et al. 2016 [ | Israel | UC patients | NR | |
| Hellström et al. 2017 [ | Sweden | UC patients | 2 years | |
| Neovius et al. 2010 [ | Sweden | UC patients | NR | |
| Stark et al. 2006 [ | Germany | UC patients | Disease duration 12 years | NR |
| Van Der Valk et al. 2015 [ | The Netherlands | IDB patients | Pouch: Mean age 46.7 Disease duration 15 years | For 2 years at 3 months intervals |
Ileostomy: Disease duration 18 years | ||||
Anti-TNFα: Disease duration 16 years |
Indirect costs associated with absenteeism, specifically sick leave in UC
| Author, year | Country | Patients’ type | % of patients experiencing sick leave | Number of sick leaves days per patient per year | Cost | Cost adjusted | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| Average cost (€) of sick leave per patient per year | Total average productivity loss in Euros per year | Currency, base year | Average cost (€) of sick leave per patient per year | Total average productivity loss in Euros per year | Currency, base year | |||||
| Mandel et al. 2014 [ | Hungary | Pooled UC patients | NR | 10.14a | 485 | 1795 | EURO, 2013 | 506 | 1872 | $, 2017 |
| Malinowski et al. 2016 [ | Poland | Pooled UC patients | NR | 13.49 | 787e | 1260e | EURO, 2012 | 823 | 1318 | $, 2017 |
| Aldeguer et al. 2016 [ | Spain | Pooled UC patients | 22% | 26.17 | 311 | 399 | EURO, 2012 | 326 | 418 | $, 2017 |
| Van der Valk et al. 2012 [ | The Netherlands | Pooled UC patients | NR | NR | 1912d | NR | EURO, 2010 | 2401.6 | NR | $, 2017 |
| Van der Valk et al. 2014 [ | The Netherlands | Pooled UC patients | 13.4%b | 10cg | 1447 kg | 1580g | EURO, 2011 | 1608.4 | 1756 | $, 2017 |
| Van der Valk et al. 2015 [ | The Netherlands | Pouch patients | 10.50% | 8h | 1932h | NR | EURO, 2011 | 2147.5 | NR | $, 2017 |
| Van der Valk et al. 2015 [ | The Netherlands | Ileostomy patients | 13.50% | 20i | 1508i | NR | EURO, 2011 | 1676.2 | NR | $, 2017 |
| Van der Valk et al. 2015 [ | The Netherlands | Anti-TNF patients | 23.90% | 28j | 4340j | NR | EURO, 2011 | 4824.1 | NR | $, 2017 |
| Kawalec et al. 2017 [ | Poland | Pooled UC patients | NR | 30.49 | 679 | 2043 | EURO, 2014 | 710.6 | 2138 | $, 2017 |
| Hellström et al. 2017 [ | Sweden | Pooled UC patients | NR | 63f | 5309f | NR | EURO, 2014 | 5391 | NR | $, 2017 |
aMissed working hours: The study reports missed working hours of 1.56 h per week equivalent of 10.14 days per year
bUnpaid work: 28; 3.0%
cUnpaid work: 7.8 days per 3 months
dThe study reports 478€ per 3 month
eGross domestic product per capita
fThe study reports 50,925 SEK per year equivalent to either 5338 euros or 6297€ and it has been reported in the study it was reported as 9 weeks per year
gThe study reports 2.5 days per 3 months and 361.79€ per 3 month
hThe study reports 2 days per 3 months and 483€ per 3 month
iThe study reports 5 days per 3 months and 377€ per 3 month
jThe study reports 7 days per 3 months and 1085€ per 3 month
kUnpaid work: 18.33€ per 3 months
Indirect costs associated with absenteeism- disability in UC
| Author, year | Country | % of patients experiencing short term disability | % of patients experiencing long term disability | N. of days absent per patient per year | Costs | Costs adjusted | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Average ST cost of disability per patient/year | Average LT cost of disability per patient/year | Average cost of productivity loss due to disability per patient/year | Currency, base year | Average ST cost of disability per patient/year | Average LT cost of disability per patient/year | Average cost of productivity loss due to disability | Currency, base year | |||||
| Stark et al. 2006 [ | Germany | 15% | 7% | NR | 2912 | 4238 | NR | EURO, 2004 | 3019 | 4394 | NR | $, 2017 |
| Cohen et al. 2015 [ | USA | 16.70% | NR | 12.3 | 2713 | 2713 | NR | $, 2013 | 2824 | 2824 | NR | $, 2017 |
| Gibson et al. 2008 [ | USA | 15.36% | NR | NR | 1386 | NR | NR | $, 2005 | 1794 | NR | NR | $, 2017 |
| Mandel et al. 2014 [ | Hungary | NR | NR | 10.14be | NR | NR | 1310 | EURO, 2013 | NR | NR | 1367 | $, 2017 |
| Malinowski et al. 2016c [ | Poland | NR | NR | NR | 111 | 1503 | NR | EURO, 2012 | 116 | 1573 | NR | $, 2017 |
aIt was reported as 224€ per month per short term and 326€ per month per long term disability
bNot only days associated to disability days
cAuthors also estimated the average cost of disability in the long term for an unlimited period, 211€ however these patients are only a small part 6 out of 6900
dThe study reported 1.56 h per week
Indirect costs associated with absenteeism in UC
| Author, year | Country | % of patients experiencing absenteeism | Number of days absent per year/patient | Cost | Cost adjusted | ||
|---|---|---|---|---|---|---|---|
| Average cost absenteeism per patient year | Currency, base year | Average cost absenteeism per patient year | Currency, base year | ||||
| Aldeguer et al. 2016 [ | Spain | NR | 1.08 days per yeara,b | 88.21a | EURO, 2012 | 105.40 | $, 2017 |
| Cohen et al. 2015 [ | USA | 98.20% | 11.5 days per yeara | 3071 | $, 2013 | 3196.60 | $, 2017 |
| Cohen et al. 2012 [ | USA | NR | 14.2 days per yeara | NR | $, 2010 | NR | $, 2017 |
| Cannon et al. 2011 [ | NRd | NR | 60 days per yearc | NR | NR | NR | NR |
| Gibson et al. 2008 [ | USA | 85.75% | NR | 6020.50e | $, 2005 | 7793.50 | $, 2017 |
NB: The publication by Katz Avitan et al. [2] conducted in Israel (not reported in the table) demonstrated that 21% of UC patients (N = 150) were experimenting absenteeism (defined as percentage of impairment while working)
aDue to medical visit specifically
bIn the study it was reported as 29.55 h per year
cIn the study, they reported that UC patient had missed more than 5 days from work in the past month
dThis publication was an abstract and did not report the country where the study was conducted
eMean absence costs, all employees, with or without claims
Indirect costs associated with presenteeism in UC
| Author, year | Country | % of patients experiencing presenteeism | On the job productivity loss (%) due to UC per patient per week | Cost | Cost adjusted | ||
|---|---|---|---|---|---|---|---|
| Total indirect cost for presenteeism per patient per year | Currency, base year | Total indirect cost for presenteeism per patient per year | Currency, base year | ||||
| Kawalec et al. 2017 [ | Poland | 55.20% | 19.38% | 1346 | EURO, 2014 | 1602.1 | $, 2017 |
| Mandel et al. 2014a [ | Hungary | NR | 19.42% | 2410 | EURO, 2013 | 2947.2 | $, 2017 |
NB: The publication by Katz Avitan et al. [2] conducted in Israel (not reported in the table) demonstrated that 19% of UC patients (N = 150) experienced presesenteeism
aThe study by Mandel et al. [1] reported 7.77 h lost due to presentism per patient per week. Value was converted using a 40 h labor week
Total productivity losses associated to UC
| Author, year | Country | Proportion of indirect cost associated to total UC costs | Cost | Cost adjusted | ||
|---|---|---|---|---|---|---|
| Total productivity losses per patient year | Currency, base year | Total productivity losses per patient year | Currency, base year | |||
| Kostic et al. 2015 [ | Serbia | NR | 142,267 | RSD,2015b | 1567.0 | $, 2017 |
| Kawalec et al. 2017 [ | Poland | NR | 2043 | EURO, 2014 | 2431.8 | $, 2017 |
| Van Der Valk, 2016 [ | The Netherlands | 31% | 1120 | EURO, 2011 | 1459.3 | $, 2017 |
| Van Der Valk, 2014 [ | The Netherlands | 39% | 1580a | EURO, 2011 | 2058.7a | $, 2017 |
aThe study reports total productivity losses of 395.21€ per 3 months per patients
bBase year was not reported. It is assumed that base year correspond to publication year