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Abstract Number: 995

Quality Of Life, Productivity Impairment, Disease Severity and Health Care Costs In Relation To Functional Impairment In Psoriatic Arthritis Patients In The Czech Republic

Jiri Stolfa1,2, Liliana Sedova1,2, David Suchy3, Jiri Klimes4, Milan Vocelka4 and Tomas Dolezal4, 1Institute of Rheumatology, Prague, Czech Republic, 2Clinic of Rheumatology, Charles University Prague, Prague, Czech Republic, 3Department of Clinical Pharmacology, Rheumatology, University hospital Plzen, Plzen, Czech Republic, 4Institute of Health Economics and Technology Assessment, Charles University, Prague, Czech Republic

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: Health Assessment Questionnaire, Health Care, psoriatic arthritis and quality of life

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Session Information

Title: Epidemiology and Health Services II & III

Session Type: Abstract Submissions (ACR)

Background/Purpose:

Our aim was to describe the QoL, productivity impairment, clinical indicators and health care costs in relationship to functional status described by Health assessment questionnaire (HAQ) in Psoriatic arthritis patients. This relationship is highly important to justify the investment into health care.

Methods:

We have organized a prospective multicentre non-interventional observational study with Psoriatic arthritis (PsA) patients in 4 specialized centres for treatment of rheumatic diseases in the Czech Republic. There is 3 years of follow-up planned with 6 months period between each time point observation. The data presented here comes from the first visit, where demographics, clinical, QoL data and productivity were directly collected from patients. Health care consumption was assessed retrospectively reviewing individual patient’s medical record (with 6 or 12 months recall period from the first visit). Clinical data were described by DAPsA, QoL measured by EuroQol questionnaire (EQ-5D), work impairment by Work Productivity and Activity Impairment (WPAI) in relationship to HAQ categories. Validated Czech versions of all questionnaires were used. Patients are stratified according to their HAQ in 6 categories, i.e. 0 – 0.5>, 0.5 – 1.0>, 1.0 – 1.5>, 1.5 – 2.0>, 2.0 – 2.5>, 2.5 – 3.0>. Within health care consumed, we focus on medication (classical DMARDs, corticosteroids and biological drugs), out-patient & in-patient care, complement and instrumental examination and out-of pocket money. Health care expenditures are annualized and presented as an average costs per patient. Patients are analysed as the whole cohort and specifically by the presence of biologic treatment.

Results:

We have already included 164 patients with PsA, 63 on biological drugs, mean patient age was 57.3 years, mean time from diagnoses of PsA was 25.9 years, 52% were female. With higher functional impairment, described by HAQ, there is an increase in age, time from diagnoses, percentage of work impairment and also decrease in work-active patients. There is also deterioration in clinical impairment (DAPsA) and QoL observed with worse functional status. There is almost the same height of total costs in each HAQ category in the cohort of patients treated with biologics, as these drugs are the biggest costs driver. However, there is a cost increase in the category with highest HAQ in the cohort not treated with biologics. See results table, where all values are presented as mean values, n.a. – not applicable.

Conclusion:

Patients with worse functional impairment (based on HAQ) revealed impairment of their QoL, work productivity and revealed also worse clinical outcomes. We present total health care costs according to the functional impairment. The findings attributed to higher HAQ impairment (i.e. HAQ > 2.0) must be interpreted with caution because of lower number of patients in these categories.

Patients on biologic drugs

HAQ category

HAQ

No.

Age (Years)

Time from Dx(Years)

% women

Costs (EUR)

% of   work-active

% WPAI

DAPsA

EQ-5D

0-0.5>

0.2

28

48.0

22.0

39.3%

11,481

82.1%

18.0%

7.5

0.830

0.5-1.0>

0.8

12

51.8

25.5

50.0%

11,604

58.3%

24.9%

8.5

0.733

1.0-1.5>

1.2

10

51.3

25.2

60.0%

12,375

30.0%

45.3%

13.7

0.607

1.5-2.0>

1.8

10

62.7

29.3

40.0%

10,303

10.0%

50.0%

21.2

0.510

2.0-2.5>

2.4

3

59.7

34.3

66.7%

13,181

33.3%

0.0%

32.5

0.375

2.5-3.0>

n.a.

0

n.a.

n.a.

n.a.

n.a.

n.a.

n.a.

n.a.

n.a.

Mean/total

0.83

63

52.1

24.9

46.0%

11,482

55.6%

27.9%

12.0

0.704

Patients without biologic drugs

HAQ category

HAQ

No.

Age

Time from Dx(Years)

% women

Costs (EUR)

% of   work-active

WPAI %

DAPsA

EQ-5D

0-0.5>

0.1

51

56.6

24.9

43.1%

301

66.7%

14.0%

9.1

0.788

0.5-1.0>

0.9

22

63.0

26.8

68.2%

481

36.4%

26.3%

13.3

0.649

1.0-1.5>

1.3

20

62.7

28.7

55.0%

542

10.0%

40.0%

18.0

0.527

1.5-2.0>

n.a.

0

n.a.

n.a.

n.a.

n.a.

n.a.

n.a.

n.a.

n.a.

2.0-2.5>

2.3

3

73.7

41.3

100.0%

411

0.0%

n.a.

24.5

0.381

2.5-3.0>

2.8

5

72.2

23.6

100.0%

1,218

0.0%

n.a.

24.8

0.216

Mean/total

0.73

101

60.5

26.5

55.4%

400

43.6%

20.7%

13.0

0.665

Whole cohort of patients

HAQ category

HAQ

No.

Age

Time from Dx(Years)

% women

Costs (EUR)

% of   work-active

WPAI %

DAPsA

EQ-5D

0-0.5>

0.2

79

53.6

23.8

41.8%

4,264

72.2%

15.5%

8.5

0.803

0.5-1.0>

0.9

34

59.1

26.3

61.8%

4,407

44.1%

25.7%

11.6

0.679

1.0-1.5>

1.3

30

58.9

27.5

56.7%

4,486

16.7%

43.2%

16.6

0.554

1.5-2.0>

1.8

10

62.7

29.3

40.0%

10,302

10.0%

50.0%

21.2

0.510

2.0-2.5>

2.4

6

66.7

37.8

83.3%

6,796

16.7%

0.0%

28.5

0.378

2.5-3.0>

2.8

5

72.2

23.6

100.0%

1,218

0.0%

n.a.

24.8

0.216

Mean/total

0.80

164

57.3

25.9

51.8%

4,657

48.2%

23.7%

12.6

0.680


Disclosure:

J. Stolfa,
None;

L. Sedova,
None;

D. Suchy,
None;

J. Klimes,
None;

M. Vocelka,
None;

T. Dolezal,
None.

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