| Literature DB >> 24884720 |
Arnaud Kwiatkowski1, Jean-Pierre Marissal, Madani Pouyfaucon, Patrick Vermersch, Patrick Hautecoeur, Benoît Dervaux.
Abstract
BACKGROUND: Economic costs related to treatment of multiple sclerosis (MS) must be justified by health state, quality of life (QOL) and social participation improvement. This study aims to describe correlations between social participation, economic costs, utility and MS-specific QOL in a sample of patients with MS (pwMS).Entities:
Mesh:
Substances:
Year: 2014 PMID: 24884720 PMCID: PMC4050416 DOI: 10.1186/1471-2377-14-115
Source DB: PubMed Journal: BMC Neurol ISSN: 1471-2377 Impact factor: 2.474
Demographics, utility, MS-specific QOL, IPA scores and economic costs in entire survey sample and 3 groups separated by EDSS values
| | ||||
|---|---|---|---|---|
| 41 | 17 | 17 | 7 | |
| 42.8 (9.5) | 37.9 (9.7) § | 45.5 (5.4) § | 48.3 (12.2) | |
| 7/34 | 3/14 | 2/15 | 2/5 | |
| 12.0 (3.3) | 12.1 (3.4) | 12.3 (3.4) | 10.9 (3.1) | |
| 11.7 (7.4) | 8.5 (5.3) § | 11.1 (4.8) ¶ | 20.9 (10) § ¶ | |
| 4.0 (1.6) | 2.5 (0.8) § | 4.7 (0.6) § | 6.2 (0.4) § | |
| 24 | 14 | 10 | 0 | |
| 39% | 53% | 15% | 0% | |
| 0.52 (0.28) | 0.65 (0.31) § | 0.44 (0.23) § | 0.42 (0.24) | |
| 51.1 (19.1) | 59.5 (21.4) | 44.1 (17.0) | 47.9 (10.1) | |
| 55.1 (24) | 60.2 (23.2) | 51.8 (23.8) | 45.0 (14.3) | |
| | | | | |
| 0.91 (0.82) | 0.54 (0.57) § | 1.17 (0.83) § | 1.34 (1.14) | |
| 1.7 (0.8) | 1.21 (0.67) § | 2.14 (0.68) § | 1.91 (0.75) | |
| 1.89 (1.08) | 1.19 (0.88) § ¶ | 2.49 (0.89) § | 2.36 (0.96) ¶ | |
| 1.1 (0.65) | 0.87 (0.69) § | 1.14 (0.54) | 1.71 (0.5) § | |
| 2.54 (1.32) | 1.74 (1.18) § | 3.22 (1.0) § | 3.12 (1.28) | |
| | | | | |
| 68448 (33374) | 52505 (26570) § | 70337 (31975) | 102581 (26963) § | |
| 34210 (3818) | 33062 (3793) § | 34571 (3972) | 36123 (2893) § | |
| 10521 (8297) | 5525 (4651) § ¶ | 11885 (7289) ¶ | 19290 (9686) § | |
| 2902 (2689) | 1594 (1637) § | 3271 (2285) | 5181 (3981) § | |
| 23725 (25871) | 13918 (20907) § | 23879 (27042) | 47167 (20799) § | |
Mean (Standard deviation).
*Significant difference between groups (one-factor ANOVA on ranks), p ≤ 0.05.
§, ¶ Significant difference between two groups (Bonferroni post-hoc test), p ≤ 0.05.
Figure 1Mean scores for each IPA domain, in the entire population and 3 groups separated by EDSS. Scores for each domain range from 0 to 4; lower scores indicate better social participation.
Correlations (r values) of quantitative instruments (Spearman Correlation Coefficients)
| IPA - Autonomy indoors | 0.530** | -0.582** | -0.443* | -0.380 |
| IPA - Family role | 0.622** | -0.588** | -0.441* | -0.501** |
| IPA - Autonomy outdoors | 0.653** | -0.724** | -0.595** | -0.640** |
| IPA - Social life | 0.460* | -0.526** | -0.402* | -0.360 |
| IPA - Work and education | 0.534** | -0.549** | -0.388 | -0.369 |
| EDSS | NA | -0.461* | -0.255 | -0.331 |
| EQ5D-VAS | -0.461* | NA | 0.678** | 0.635** |
| MSQOL-P | -0.255 | 0.678** | NA | 0.760** |
| MSQOL-M | -0.331 | 0.635** | 0.760** | NA |
**p < 0.001; *p < 0.01.
Figure 2Mean scores for each SEP-59 domain, in the entire population and 3 groups separated by EDSS. Scores for each domain range from 0 to 100; higher scores indicate better health status, except for the pain subscale.