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Abstract Number: 211

The Economic Burden Of Gout: A Systematic Review Of Direct and Indirect Costs

Sharan Rai1, Aliya Haji2, Lindsay C Burns3 and Hyon Choi4,5, 1Arthritis Research Centre of Canada, Richmond, BC, Canada, 2Research, Arthritis Research Centre of Canada, Richmond, BC, Canada, 3Department of Dermatology and Skin Science, University of British Columbia, Vancouver, BC, Canada, 4Section of Rheumatology and the Clinical Epidemiology Unit, Boston University School of Medicine, Boston, MA, 5Division of Rheumatology, Allergy, and Immunology Massachusetts General Hospital, Harvard Medical School, Boston, MA

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: Economics and gout

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Session Information

Title: Health Services Research, Quality Measures and Quality of Care-Rheumatoid Arthritis

Session Type: Abstract Submissions (ACR)

Background/Purpose:   The prevalence of gout, an excruciating and disabling joint disease, has been increasing in recent decades such that it now constitutes the most common inflammatory arthritis in the US.  A high rate of uncontrolled disease and high comorbidity burden suggest that the economic impact of gout could potentially be substantial.  To clarify this impact, we systematically reviewed the literature on the productivity loss and healthcare costs associated with gout.

Methods:  We conducted a mapped search of MEDLINE, EMBASE, IPA, and CINAHL databases for articles published between Jan 1993 to Jun 2013 that reported either direct or indirect costs of gout, encompassing healthcare utilization and productivity loss, respectively. Our search strategy employed mapped subject headings terms together with keywords for unindexed terms relating to the themes of gout and cost.  Titles and abstracts were reviewed for preliminary inclusion criteria of: 1) full-text, original, published article; 2) gout patient population; 3) direct or indirect costs reported; 4) English language.  Non-human studies and case-reports/series were excluded.  Where possible, data were abstracted and tabulated on annual all-cause and gout-related direct and indirect costs per patient.

Results: Our search strategy yielded a total of 2,954 unique articles.  Of these, 11 studies reporting direct and indirect costs for gout met our inclusion criteria and were included for review.  Seven studies reported gout-specific data on direct costs (medical services + prescriptions), 5 on medical services, and 4 on indirect costs (work productivity loss).  US estimates of the annual direct costs per patient ranged from $3,985–$22,562 for all-cause costs and $192–$5,924 for gout-specific costs.  Annual per-patient medical services costs ranged from $3,122–$14,866 and corresponding indirect costs ranged from $915–$3,900 US.  Patient characteristics associated with increased costs included: 1) ≥ 3 flares per year; 2) serum uric acid levels ≥ 6 mg/dL; 3) presence of tophi (Table).

Conclusion: Overall, the economic burden of gout was found to be substantial, with direct healthcare costs comparable to chronic rheumatic conditions such as rheumatoid arthritis.  There was a paucity of data on indirect costs associated with gout, the population costs of gout (rather than patient subgroups), a lack of standardized cost reporting, and a lack of validated instruments for cost assessment in gout.  Characteristics associated with increased costs generally reflected poorly controlled disease and were largely modifiable.  As gout represents a metabolically-driven arthropathy that can be fully controlled with proper therapeutic approaches, substantial resources could be spared through by closing the gap between guideline recommendations and practice.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

DIRECT (MEDICAL SERVICES + PRESCRIPTION) COSTS

Gout Population

All-Cause Healthcare Cost

Gout-Related Healthcare Cost

Country

Cost Year

References

<3 attacks

$9,009a-$10,547b

$192b

USA

 

2011

 

Lynch et al. 2013;

Saseen et al. 2012

≥3 attacks/year

$9,748a-$17,603b

$870b-$5,924b

USA

2008-2011

Lynch et al. 2013;

Saseen et al. 2012;

Wu et al. 2012

Employees with gout

$3,985c

–

USA

2001-2004

Brook et al. 2006

SUA < 6.0 mg/dL

 

$11,365d-$15,237e

$332d-$505b

USA

2002-2010

 

Halpern et al. 2009;

Park et al. 2012;

Wu et al. 2008;

SUA ≥6.0 and < 9.0 mg/dL

$11,551d-$14,935e

$353d-$696b

USA

2002-2010

Halpern et al. 2009;

Park et al. 2012;

Wu et al. 2008;

SUA ≥ 9.0

 

$14,474d-$18,340e

$663d-$723e

USA

2005-2010, NS*

 

Halpern et al. 2009;

Park et al. 2012;

Wu et al. 2008;

Gout patients with tophi

$22,562b

–

USA

2005

Wu et al. 2008

Gout patients without tophi

 

$14,574b

–

USA

2005

Wu et al. 2008

Physician diagnosed gout

$14,734b

$876b

USA

2005

Wu et al. 2008

≥3 attacks/year

 

€ 1259f

–

Spain

2007

Sicras-Mainar et al. 2013

MEDICAL SERVICES COSTS

Gout Population

All-Cause Healthcare Cost

Gout-Related Healthcare Cost

Country

Cost Year

References

<3 attacks/year

$7,332a-$8,209b

$176 b

USA

2011

Lynch et al. 2013;

Saseen et al. 2012

≥3 attacks/year

$8,505 b -$14,866 b

$834 b-$5,477 b

USA

2008-2011

Lynch et al. 2013;

Saseen et al. 2012;

Wu et al. 2012

Employee with gout

$3,122c

–

USA

2001-2004

Brook et al. 2006

≥3 attacks/year

€ 2517f

–

Spain

2007

Sicras-Mainar et al. 2013

INDIRECT (WORK PRODUCTIVITY LOSS) COSTS

Gout Population

Indirect Cost

Country

Cost Year

References

<3 attacks/year

$915a

USA

2011

Lynch et al. 2013

≥3 attacks/year

$2,021a

USA

2011

Lynch et al. 2013

Employee with gout

$2,885c

USA

2001-2004

Brook et al. 2006

SUA ≥ 6.0 mg/dL

 

$3,900b

USA

2006

Edwards et al. 2011

≥3 attacks/year

€ 88f

Spain

2007

Sicras-Mainar et al. 2013

1-2 attacks/year

€ 29f

Spain

2007

Sicras-Mainar et al. 2013

a Adjusted for age, sex, marital status, race, exempt status, full-time status, salary, tenure, region, and history of flares

b Unadjusted cost

c Adjusted for age, sex, annual salary, tenure, exempt status, race, marital status, location, and Charlson comorbidity index

d Adjusted for age, sex, insurance, Charlson comorbidity index, presence of hypertension, and number of all-cause prescriptions

e Adjusted for age, sex, index year, Charlson comorbidity index, and medication use

f Adjust for age, sex, resource utilization, and Charlson comorbidity index

 


Disclosure:

S. Rai,
None;

A. Haji,
None;

L. C. Burns,
None;

H. Choi,
None.

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