| Variable | Level | Overall | RA | axSpA | PsA | GCA/PMR |
|---|---|---|---|---|---|---|
| N of patients | 20842 | 10959 | 5875 | 3425 | 583 | |
| Collection start | 1997 | 2005 | 2006 | 2020 | ||
| Year of inclusion (median [IQR]) | 2012 [2007, 2018] | 2010 [2004, 2015] | 2014 [2009, 2019] | 2015 [2010, 2020] | 2022 [2021, 2023] | |
| Clinical FU status (%) | Visit in 2025 | 4369 (21.0) | 1607 (14.7) | 1469 (25.0) | 1058 (30.9) | 235 (40.3) |
| Visit in 2024 | 1699 (8.2) | 694 (6.3) | 528 (9.0) | 367 (10.7) | 110 (18.9) | |
| Officially discontinued | 7844 (37.6) | 5151 (47.0) | 1802 (30.7) | 864 (25.2) | 27 (4.6) | |
| Inactive for at least 2 years | 6930 (33.3) | 3507 (32.0) | 2076 (35.3) | 1136 (33.2) | 211 (36.2) | |
| Year of last visit (median [IQR]) | 2019 [2013, 2024] | 2016 [2010, 2023] | 2020 [2015, 2024.50] | 2022 [2017, 2025] | 2024 [2022, 2025] | |
| Years of clinical FU (median [IQR]) | 3.75 [1.00, 8.41] | 4.28 [1.16, 9.15] | 3.30 [0.84, 7.95] | 3.72 [1.01, 7.99] | 1.03 [0.00, 2.50] | |
| Visits per patient (mean (SD)) | 6.46 (6.14) | 7.19 (6.83) | 5.62 (5.15) | 6.02 (5.37) | 3.59 (3.27) | |
| mySCQM entries per patient (mean (SD)) | 6.15 (17.84) | 4.40 (15.10) | 8.39 (20.46) | 8.57 (21.01) | 2.25 (11.04) | |
| Institution of inclusion visit (%) | hospital | 5000 (24.0) | 2682 (24.5) | 1473 (25.1) | 717 (20.9) | 128 (22.0) |
| private practice | 10972 (52.6) | 5922 (54.0) | 3045 (51.8) | 1923 (56.1) | 82 (14.1) | |
| university hospital | 4870 (23.4) | 2355 (21.5) | 1357 (23.1) | 785 (22.9) | 373 (64.0) | |
| Switched institution (%) | All visits at inclusion site | 18503 (88.8) | 9669 (88.2) | 5166 (87.9) | 3090 (90.2) | 578 (99.1) |
| Visits in multiple institutions | 2339 (11.2) | 1290 (11.8) | 709 (12.1) | 335 (9.8) | 5 (0.9) |
1 Introduction
This report provides an overview on the data and information collected in the past year (2025) for the different inflammatory rheumatic disease cohorts, see Figure 1, and special data collection initiatives like the unclassified arthritis cohort or the biobank project. Retroactive data entry is possible and all information within this report reflects the status within the SCQM as of the 2026-01-01.
Where not otherwise specified we report data or information on the SCQM patient populations at the end of 2025. The reporting considers any patient with at least one visit containing a minimum of physician based information. This report also excludes patients whose written informed consent has not been provided or not yet been verified.
There are three types of visits - inclusion, annual control and intermediate control visits. Each visit type includes physician and patient questionnaires. Furthermore the SCQM collects patient self-monitoring data via mySCQM independent of visits. An external link to summarized data collection schemes for each of the main cohorts is provided within Section 6.3.
As of the end of 2025 the main SCQM research cohorts encompass 20842 patients that have contributed their data for research. Table 1 provides further information about this cumulative population.
2 Core Data
Key Numbers
In 2025 the SCQM recorded 5430 visits from 4369 patients. Among these 606 patients were new inclusions. Furthermore, 17640 mySCQM entries were made by 2555 patients. Among these 258 were new mySCQM users. Visits were recorded by 244 doctors spread across 85 institutions in 17 different cantons.
See more in about Visits in Table 2, about Inclusions in Table 3 and about mySCQM in Table 4.
| Variable | Level | Overall | RA | axSpA | PsA | GCA/PMR |
|---|---|---|---|---|---|---|
| N of visits | 5430 | 2043 | 1781 | 1332 | 274 | |
| Visit-related patient questionnaire (%) | Included | 4747 (87.4) | 1768 (86.5) | 1608 (90.3) | 1189 (89.3) | 182 (66.4) |
| Not included | 683 (12.6) | 275 (13.5) | 173 (9.7) | 143 (10.7) | 92 (33.6) | |
| Visit number within patient (%) | Inclusion | 606 (11.2) | 199 (9.7) | 192 (10.8) | 138 (10.4) | 77 (28.1) |
| 2nd visit | 418 (7.7) | 137 (6.7) | 139 (7.8) | 112 (8.4) | 30 (10.9) | |
| 3rd, 4th or 5th | 1193 (22.0) | 358 (17.5) | 373 (20.9) | 331 (24.8) | 131 (47.8) | |
| 6th, 7th or 8th | 822 (15.1) | 291 (14.2) | 276 (15.5) | 226 (17.0) | 29 (10.6) | |
| 9th visit or higher | 2391 (44.0) | 1058 (51.8) | 801 (45.0) | 525 (39.4) | 7 (2.6) | |
| Years since symptom onset (median [IQR]) | 14.26 [7.23, 22.65] | 14.45 [7.27, 21.98] | 16.02 [9.76, 24.95] | 13.62 [7.35, 22.21] | 2.74 [1.18, 4.66] | |
| Years since diagnosis (median [IQR]) | 10.69 [5.04, 17.76] | 12.36 [6.24, 19.79] | 11.00 [5.66, 17.13] | 10.11 [4.78, 17.29] | 2.43 [0.98, 4.44] | |
| Type of institution (%) | hospital | 1072 (19.7) | 409 (20.0) | 361 (20.3) | 233 (17.5) | 69 (25.2) |
| private practice | 2659 (49.0) | 952 (46.6) | 927 (52.0) | 717 (53.8) | 63 (23.0) | |
| university hospital | 1699 (31.3) | 682 (33.4) | 493 (27.7) | 382 (28.7) | 142 (51.8) | |
| Per patient | ||||||
| N patients with visits | 4369 | 1607 | 1469 | 1058 | 235 | |
| N of visits per patient (mean (SD)) | 1.24 (0.64) | 1.27 (0.69) | 1.21 (0.60) | 1.26 (0.65) | 1.17 (0.48) | |
| Year of inclusion (median [IQR]) | 2019 [2013, 2023] | 2018 [2012, 2022] | 2019 [2013, 2023] | 2020 [2014, 2023] | 2023 [2022, 2025] | |
*dates of birth are only available in the format Year-Month. Ages were calculated while under the assumption everyone was born on the 15th of the month.
| Variable | Level | Overall | RA | axSpA | PsA | GCA/PMR |
|---|---|---|---|---|---|---|
| N of patients | 606 | 199 | 192 | 138 | 77 | |
| Age* at inclusion (median [IQR]) | 56 [42, 67] | 62 [53, 71] | 42 [32, 53] | 54.50 [39.25, 63] | 72 [67, 77] | |
| Years since symptom onset (median [IQR]) | 5.47 [1.53, 11.84] | 4.23 [1.29, 11.30] | 9.07 [4.06, 15.64] | 6.32 [2.72, 11.57] | 0.72 [0.24, 2.05] | |
| Years since diagnosis (median [IQR]) | 2.39 [0.54, 7.20] | 3.30 [0.72, 8.50] | 3.89 [1.11, 9.29] | 2.69 [0.86, 6.25] | 0.52 [0.13, 1.45] | |
| Type of institution (%) | hospital | 248 (40.9) | 87 (43.7) | 68 (35.4) | 59 (42.8) | 34 (44.2) |
| private practice | 160 (26.4) | 42 (21.1) | 62 (32.3) | 45 (32.6) | 11 (14.3) | |
| university hospital | 198 (32.7) | 70 (35.2) | 62 (32.3) | 34 (24.6) | 32 (41.6) |
*refers to patients that used the app in 2025, but not in 2024.
**refers to the unbroken string of years with at least one entry by that patient.
| Variable | Level | Overall | RA | axSpA | PsA | GCA/PMR |
|---|---|---|---|---|---|---|
| N of entries | 17640 | 6164 | 6708 | 4305 | 463 | |
| Entry number within patient (%) | 1st entry | 258 (1.5) | 84 (1.4) | 94 (1.4) | 60 (1.4) | 20 (4.3) |
| 2nd to 10th | 1722 (9.8) | 489 (7.9) | 698 (10.4) | 442 (10.3) | 93 (20.1) | |
| 11th to 40th | 5457 (30.9) | 1730 (28.1) | 2186 (32.6) | 1317 (30.6) | 224 (48.4) | |
| 41th to 100th | 9211 (52.2) | 3550 (57.6) | 3341 (49.8) | 2263 (52.6) | 57 (12.3) | |
| 101th entry or higher | 992 (5.6) | 311 (5.0) | 389 (5.8) | 223 (5.2) | 69 (14.9) | |
| Per patient | ||||||
| N patients with entries | 2555 | 902 | 1008 | 595 | 50 | |
| N of entries per patient (mean (SD)) | 6.90 (5.05) | 6.83 (4.53) | 6.65 (5.34) | 7.24 (4.81) | 9.26 (8.84) | |
| User history (%) | New user | 258 (10.1) | 84 (9.3) | 94 (9.3) | 60 (10.1) | 20 (40.0) |
| Ongoing user | 2174 (85.1) | 770 (85.4) | 863 (85.6) | 512 (86.1) | 29 (58.0) | |
| Returning* user | 123 (4.8) | 48 (5.3) | 51 (5.1) | 23 (3.9) | 1 (2.0) | |
| Years of continued** usage (median [IQR]) | 5.00 [3.00, 5.00] | 5.00 [3.00, 5.00] | 5.00 [2.00, 6.00] | 5.00 [3.00, 5.00] | 1.00 [0.00, 2.75] | |
| Year of last visit (median [IQR]) | 2025 [2023, 2025] | 2025 [2023, 2025] | 2025 [2023, 2025] | 2025 [2023, 2025] | 2025 [2024, 2025] | |
Contributing Institutions
The SCQM registry relies on the tireless work made by our many contributing institutions. Within Table 5, Table 6 and Table 7 we showcase those hospitals and practices that contributed the most towards the mission of the SCQM, both in 2025 and its entire existence, for visits, inclusions and new mySCQM users respectively. Note that these numbers include the special data collection for unclassified arthritis and not just the main research cohorts.
*example: “Cabinet Max Muster is 11th this year and was 13th last year, thus they get a +2 because they gained two places”.
**determined based on absolute numbers.
| Rank | Institution | Type of institution | Canton | Change from 2024* |
|---|---|---|---|---|
| 1 | Universitätsspital Zürich | UH | ZH | |
| 2 | Inselspital Bern | UH | BE | |
| 3 | Centre hospitalier universitaire vaudois | UH | VD | |
| 4 | HOCH Health Ostschweiz, Kantonsspital St.Gallen | H | SG | |
| 5 | Rheuma Basel, Basel | PP | BS | +1 |
| 6 | Rheumazentrum Laufen, Laufen | PP | BL | -1 |
| 7 | rheumaliestal, Liestal | PP | BL | +4 |
| 8 | Ultraschall Zentrum Rheumatologie, Basel | PP | BS | +4 |
| 9 | Praxis Dr. med. Renate Mathieu, Solothurn | PP | SO | -2 |
| 10 | Aerztegemeinschaft 115, Wettingen | PP | AG | +3 |
| 11 | Spital Emmental Rheumatologie, Burgdorf | H | BE | +53 |
| 12 | Klinik St. Anna, Luzern | H | LU | -4 |
| 13 | Hôpitaux universitaires de Genève | UH | GE | -3 |
| 14 | OsteoRheumaBern, Bern | PP | BE | +8 |
| 15 | Réseau Hospitalier Neuchâtelois de la Chaux de Fonds | H | NE | -6 |
| 16 | Universitätsspital Basel | UH | BS | -2 |
| 17 | rheuma-bern ag, Bern | PP | BE | -1 |
| Rank | Institution | Type of institution | Canton | Best year** | Change from 2024* |
|---|---|---|---|---|---|
| 1 | Universitätsspital Zürich | UH | ZH | 2025 | |
| 2 | Inselspital Bern | UH | BE | 2018 | |
| 3 | Hôpitaux universitaires de Genève | UH | GE | 2017 | |
| 4 | Centre hospitalier universitaire vaudois | UH | VD | 2024 | |
| 5 | HOCH Health Ostschweiz, Kantonsspital St.Gallen | H | SG | 2023 | +1 |
| 6 | Rheuma Basel, Basel | PP | BS | 2023 | -1 |
| 7 | Klinik St. Anna, Luzern | H | LU | 2019 | +1 |
| 8 | Bethesda-Spital, Basel | H | BS | 2016 | -1 |
| 9 | Kantonsspital Aarau | H | AG | 2017 | |
| 10 | Universitätsspital Basel | UH | BS | 2021 | |
| 11 | OsteoRheumaBern, Bern | PP | BE | 2017 | |
| 12 | Praxis Dr. med. Alexander Martin, Liestal | PP | BL | 2012 | |
| 13 | Réseau Hospitalier Neuchâtelois de la Chaux de Fonds | H | NE | 2017 | +1 |
| 14 | Luzerner Kantonsspital, Luzern | H | LU | 2012 | -1 |
| 15 | Kantonsspital Winterthur, Winterthur | H | ZH | 2014 | |
| 16 | rheumaliestal, Liestal | PP | BL | 2025 | +2 |
| 17 | Praxis Dr. med. Renate Mathieu, Solothurn | PP | SO | 2023 | +2 |
| 18 | Medizinisches Zentrum Brugg, Brugg | PP | AG | 2016 | -2 |
| 19 | Berner Rheumazentrum am Viktoriaplatz | PP | BE | 2018 | -2 |
| 20 | rheuma-bern ag, Bern | PP | BE | 2021 | +2 |
*example: “Cabinet Max Muster is 11th this year and was 13th last year, thus they get a +2 because they gained two places”.
**determined based on absolute numbers.
| Rank | Institution | Type of institution | Canton | Change from 2024* |
|---|---|---|---|---|
| 1 | Universitätsspital Zürich | UH | ZH | |
| 2 | Spital Emmental Rheumatologie, Burgdorf | H | BE | +44 |
| 3 | HOCH Health Ostschweiz, Kantonsspital St.Gallen | H | SG | +6 |
| 4 | Centre hospitalier universitaire vaudois | UH | VD | +2 |
| 5 | Ultraschall Zentrum Rheumatologie, Basel | PP | BS | +3 |
| 6 | Kantonsspital Aarau | H | AG | +7 |
| 7 | Universitätsspital Basel | UH | BS | -5 |
| 8 | Inselspital Bern | UH | BE | -5 |
| 9 | rheumaliestal, Liestal | PP | BL | +3 |
| 10 | Réseau Hospitalier Neuchâtelois de la Chaux de Fonds | H | NE | -6 |
| 11 | Hôpitaux universitaires de Genève | UH | GE | -4 |
| 12 | Praxis Dr. med. Renate Mathieu, Solothurn | PP | SO | -7 |
| 13 | Rheuma Basel, Basel | PP | BS | -3 |
| 14 | Hirslanden Klinik Birshof, Münchenstein | H | BL | +15 |
| 15 | Rheumazentrum Laufen, Laufen | PP | BL | +12 |
| Rank | Institution | Type of Institution | Canton | Best year** | Change from 2024* |
|---|---|---|---|---|---|
| 1 | Universitätsspital Zürich | UH | ZH | 2024 | |
| 2 | Inselspital Bern | UH | BE | 2014 | |
| 3 | Centre hospitalier universitaire vaudois | UH | VD | 2011 | |
| 4 | Hôpitaux universitaires de Genève | UH | GE | 2017 | |
| 5 | HOCH Health Ostschweiz, Kantonsspital St.Gallen | H | SG | 2012 | |
| 6 | Universitätsspital Basel | UH | BS | 2016 | |
| 7 | Rheuma Basel, Basel | PP | BS | 2009 | |
| 8 | Kantonsspital Aarau | H | AG | 2016 | |
| 9 | Klinik St. Anna, Luzern | H | LU | 2013 | |
| 10 | Universitätsklinik Balgrist, Zürich | H | ZH | 2008 | |
| 11 | Réseau Hospitalier Neuchâtelois de la Chaux de Fonds | H | NE | 2015 | +2 |
| 12 | OsteoRheumaBern, Bern | PP | BE | 2016 | |
| 13 | Bethesda-Spital, Basel | H | BS | 2011 | -2 |
| 14 | Kantonsspital Winterthur, Winterthur | H | ZH | 2013 | |
| 15 | Luzerner Kantonsspital, Luzern | H | LU | 2011 | |
| 16 | Praxis Dr. med. Renate Mathieu, Solothurn | PP | SO | 2023 | +1 |
| 17 | Berner Rheumazentrum am Viktoriaplatz | PP | BE | 2018 | -1 |
| 18 | rheumaliestal, Liestal | PP | BL | 2017 | +2 |
| 19 | Bürgerspital Solothurn, Solothurn | H | SO | 2010 | -1 |
| 20 | Klinik Impuls, Wetzikon | PP | ZH | 2005 | -1 |
*example: “Cabinet Max Muster is 11th this year and was 13th last year, thus they get a +2 because they gained two places”.
**determined based on absolute numbers.
| Rank | Institution | Type of institution | Canton | Change from 2024* |
|---|---|---|---|---|
| 1 | Universitätsspital Zürich | UH | ZH | |
| 2 | Spital Emmental Rheumatologie, Burgdorf | H | BE | None |
| 3 | Centre hospitalier universitaire vaudois | UH | VD | +3 |
| 4 | Réseau Hospitalier Neuchâtelois de la Chaux de Fonds | H | NE | -2 |
| 5 | HOCH Health Ostschweiz, Kantonsspital St.Gallen | H | SG | +8 |
| 6 | rheumaliestal, Liestal | PP | BL | +11 |
| 7 | Rheuma Basel, Basel | PP | BS | -2 |
| 8 | Inselspital Bern | UH | BE | +2 |
| 9 | Universitätsspital Basel | UH | BS | +29 |
| 10 | Klinik St. Anna, Luzern | H | LU | -3 |
| 11 | Rheumapraxis am Park | PP | BS | +5 |
| 12 | Hôpitaux universitaires de Genève | UH | GE | -8 |
| 13 | Kantonsspital Baden, Standort Brugg | H | AG | -4 |
| Rank | Institution | Type of Institution | Canton | Best year** | Change from 2024* |
|---|---|---|---|---|---|
| 1 | Universitätsspital Zürich | UH | ZH | 2020 | |
| 2 | Inselspital Bern | UH | BE | 2020 | |
| 3 | Hôpitaux universitaires de Genève | UH | GE | 2020 | |
| 4 | Rheuma Basel, Basel | PP | BS | 2020 | |
| 5 | Klinik St. Anna, Luzern | H | LU | 2020 | |
| 6 | Centre hospitalier universitaire vaudois | UH | VD | 2020 | |
| 7 | HOCH Health Ostschweiz, Kantonsspital St.Gallen | H | SG | 2020 | |
| 8 | rheumaliestal, Liestal | PP | BL | 2020 | |
| 9 | Réseau Hospitalier Neuchâtelois de la Chaux de Fonds | H | NE | 2020 | +1 |
| 10 | Rheumatologie im Zürcher Oberland, Uster | PP | ZH | 2020 | -1 |
| 11 | OsteoRheumaBern, Bern | PP | BE | 2020 | |
| 12 | Universitätsspital Basel | UH | BS | 2020 | +1 |
| 13 | Klinik Impuls, Wetzikon | PP | ZH | 2020 | -1 |
| 14 | Rheumapraxis am Park | PP | BS | 2020 | |
| 15 | Universitätsklinik Balgrist, Zürich | H | ZH | 2020 | |
| 16 | Kantonsspital Baden, Standort Brugg | H | AG | 2020 | +1 |
| 17 | Ultraschall Zentrum Rheumatologie, Basel | PP | BS | 2020 | -1 |
| 18 | Praxis Dr. med. Alexander Martin, Liestal | PP | BL | 2019 | |
| 19 | Studio Medico Badaracco Cattaneo, Lugano | PP | TI | 2017 | |
| 20 | Praxis Widrig-Bernhardt, St. Gallen | PP | SG | 2020 |
3 Maps of the SCQM
The SCQM is active across all of Switzerland thanks to its many participating institutions. Figure 2 provides a geographical look at this collection effort. Additionally, Figure 4 provides some descriptions of which kind of patient had a visit in 2025 split by canton and Figure 3 provides a look at the entire research cohort as of the snapshot of this report with each patient assigned to the location of their initial inclusion into the registry.
4 Cohort Demographics
The demographic distribution within our cohorts is depicted in Figure 5, structured in a way that allows comparisons between the subsets of patients tracked via visits and mySCQM respectively. Figure 6 provides a comparison of the self-assessed disease activity of patients across the population with visits in 2025. In Figure 7 we explore the overlap between the vsit and mySCQM subsets depicted in Figure 5. Finally, Figure 8 provides insight into the diagnostic delays of patients newly included this year.
5 Special Collection
Unclassified Arthritis
Up to and including 2025, the SCQM has recorded 4728 visits from 1017 patients within the Unclassified Arthritis cohort. 68 new UA patients were included in 2025. Furthermore, 10022 mySCQM entries were made by 333 UA patients. The number of UA patients using mySCQM has grown by 27. Data from UA cohort is available for research under the same conditions as data from our main cohorts. Figure 9 depicts the build-up of such patients over the years.
Xrays
Up to and including 2025, 49925 sets of Xrays from 12679 patients were shared with the SCQM for use in research. 46 image sets were added in 2025, of which 14 were the first sets of their respective patients. Table 8 provides a description of the these images.
*active refers to patient with a visit in 2025.
| Variable | Level | Overall | RA | axSpA | PsA | GCA/PMR | UA |
|---|---|---|---|---|---|---|---|
| N of Xray sets | 49925 | 33442 | 15680 | 475 | 12 | 316 | |
| Requested | Hands and feet | Pelvis, vertebra, spine | RA + axSpA images | none | none | ||
| Score | Ratingen | mNYC | none | - | - | ||
| Taken X years after symptom onset (median [IQR]) | 10.40 [4.99, 18.35] | 9.20 [4.42, 16.64] | 13.27 [6.89, 22.00] | 10.17 [4.88, 17.74] | - | 7.17 [3.41, 13.26] | |
| Taken X years after inclusion (median [IQR]) | 2.24 [0.00, 5.56] | 2.43 [0.02, 5.89] | 2.12 [0.00, 5.05] | 1.74 [0.00, 4.16] | - | 2.01 [0.02, 4.34] | |
| Per patient | |||||||
| N patients with sets | 12679 | 8854 | 3554 | 176 | - | 93 | |
| Coverage of entire cohort | 58% | 81% | 60% | 5.1% | - | 9.1% | |
| Sets per patient (mean (SD)) | 3.94 (3.94) | 3.78 (3.22) | 4.41 (5.33) | 2.70 (2.66) | - | 3.40 (3.68) | |
| Active* patients | |||||||
| N active* patient with sets | 2075 | 1149 | 865 | 47 | - | 14 | |
| Coverage of active* cohort | 45% | 71% | 59% | 4.4% | - | 5.1% | |
Biobank
The SCQM Biobank is located at the Sérothèque Centre of Geneva University Hospital, Departement de Médecine génétique et de Laboratoire. Since 2011, its primary objective has been to collect serum and DNA samples from patients enrolled in SCQM. Between 2011 and 2024, biosamples were systematically collected without applying exclusion criteria, allowing all patients in Switzerland–regardless of age, disease duration, severity, or type of therapy – to participate.
A total of 4340 biosamples from 3825 patients have been collected. Contributions have been enabled by 115 different institutions, spread across 18 cantons.
Currently, the collection of new biosamples is temporarily suspended. However, the samples collected up to 2025 remain available and continue to represent a valuable resource for ongoing and future research.
More details are available in Table 9.
| Variable | Level | Overall | RA | axSpA | PsA | GCA/PMR | UA |
|---|---|---|---|---|---|---|---|
| N of biosamples | 4340 | 2071 | 1292 | 687 | 118 | 172 | |
| Includes (%) | DNA and serum | 4017 (92.6) | 1928 (93.1) | 1163 (90.0) | 653 (95.1) | 115 (97.5) | 158 (91.9) |
| Just DNA | 15 (0.3) | 8 (0.4) | 5 (0.4) | 0 (0.0) | 1 (0.8) | 1 (0.6) | |
| Just serum | 308 (7.1) | 135 (6.5) | 124 (9.6) | 34 (4.9) | 2 (1.7) | 13 (7.6) | |
| Taken X years after symptom onset (median [IQR]) | 9.65 [4.43, 17.97] | 9.22 [4.33, 17.85] | 12.13 [6.30, 20.80] | 9.07 [4.41, 16.62] | 1.71 [0.55, 3.76] | 5.51 [2.93, 11.51] | |
| Taken X years after inclusion (median [IQR]) | 1.49 [0.05, 5.29] | 1.98 [0.11, 6.99] | 1.52 [0.02, 4.98] | 1.01 [0.00, 3.96] | 0.48 [0.07, 1.40] | 0.46 [0.00, 2.28] | |
| Per patient | |||||||
| N patients with samples | 3825 | 1838 | 1089 | 632 | 115 | 151 | |
| Coverage of entire cohort | 17% | 17% | 19% | 18% | 20% | 15% | |
| Samples per patient (mean (SD)) | 1.13 (0.47) | 1.13 (0.45) | 1.19 (0.58) | 1.09 (0.32) | 1.03 (0.16) | 1.14 (0.54) | |
| N active* patient with samples | 1145 | 461 | 367 | 231 | 47 | 39 | |
| Coverage of active* cohort | 25% | 29% | 25% | 22% | 20% | 14% | |
RePreg
The collaboration between the SCQM and the Reproduction and Pregnancy in inflammatory rheumatic diseases cohort has led to records of 333 pregnancies from 256 patients. Among these, 275 pregnancies have both concluded and been tracked throughout. Tracking has then continued for 274 of the resulting children. 85 pregnancies have finished the post-natal questionnaires. Table 10 presents the current status of the ongoing collection efforts.
*patients who indicated plans to conceive within the coming months.
| RA | axSpA | PsA | GCA/PMR | UA | Total | |
|---|---|---|---|---|---|---|
| Ongoing | ||||||
| Preparing* for pregnancy | 60 | 68 | 20 | 0 | 14 | 162 |
| Pregnant | 14 | 13 | 6 | 0 | 11 | 44 |
| Other | ||||||
| Willing to participate in future | 75 | 95 | 35 | 0 | 33 | 238 |
| Cumulative number of past pregnancies | 98 | 130 | 56 | 0 | 49 | 333 |
| Number of pregnancies with finished data collection | 30 | 28 | 12 | 0 | 15 | 85 |
6 Appendix
Glossary
| Abbreviation | Full term | Details |
|---|---|---|
| FU | Follow-up | Time from a patients inclusion to their last/most recent visit within the SCQM |
| PRO | Patient Reported Outcomes | Data provided directly by the patient rather than by a HCP |
| - | mySCQM | The SCQM patient app for disease self-observation that allows patients to monitor the course of their disease activity, answer questions about medication compliance, and to directly participate in prospective studies with remote data collection |
| HCP | healthcare professional | |
| RA | rheumatoid arthritis | |
| axSpA | axial spondyloarthritis | |
| PsA | psoriatic arthritis | |
| GCA | giant cell arteritis | |
| PMR | polymyalgia rheumatica | |
| UA | unclassified and other arthritis | |
| N | Number | Usually used to shorten ‘Number of [something]’ |
| H | hospital | |
| UH | university hospital | |
| PP | private practice | |
| RePreg | reproduction and pregnancy in inflammatory rheumatic diseases cohort |
Details for Reproducibility
Git Hash: 43ae88271f2a5b0f3cdc5c0eefbdd29c5029a7ba
Git Commit Date: Mon Apr 27 11:06:26 2026
Git Author: Jonas Braendli
R Version: R version 4.5.3 (2026-03-11)
R Base Packages: stats / graphics / grDevices / utils / datasets / methods / base
R Other Packages: R.utils, 2.13.0 / R.oo, 1.27.1 / R.methodsS3, 1.8.2 / ggrepel, 0.9.8 / tidyr, 1.3.2 / lubridate, 1.9.5 / stringr, 1.6.0 / shiny, 1.13.0 / sf, 1.1-0 / dtplyr, 1.3.3 / scqm.dev, 7.3 / ggplot2, 4.0.2 / svglite, 2.2.2 / dplyr, 1.2.0
Generation Date: Mon Apr 27 15:58:52 2026-Europe/Zurich
Generation Platform: aarch64-apple-darwin20
Data Collection Schemes
| Subject | Link |
|---|---|
| RA | Link |
| axSpA | Link |
| PsA | Link |
| GCA | Link |
| PMR | Link |
| Additional score overview | Link |
| Information and references regarding the collected scores | Link |
Matching Data for Figures
| mon | hospital_type | diagnosis | n |
|---|---|---|---|
| Jan | hospital | RA | 52 |
| Jan | hospital | axSpA | 35 |
| Jan | hospital | PsA | 22 |
| Jan | hospital | GCA/PMR | 13 |
| Jan | private practice | RA | 83 |
| Jan | private practice | axSpA | 84 |
| Jan | private practice | PsA | 66 |
| Jan | private practice | GCA/PMR | 11 |
| Jan | university hospital | RA | 81 |
| Jan | university hospital | axSpA | 58 |
| Jan | university hospital | PsA | 49 |
| Jan | university hospital | GCA/PMR | 22 |
| Feb | hospital | RA | 31 |
| Feb | hospital | axSpA | 30 |
| Feb | hospital | PsA | 23 |
| Feb | hospital | GCA/PMR | 14 |
| Feb | private practice | RA | 85 |
| Feb | private practice | axSpA | 72 |
| Feb | private practice | PsA | 59 |
| Feb | private practice | GCA/PMR | 4 |
| Feb | university hospital | RA | 43 |
| Feb | university hospital | axSpA | 42 |
| Feb | university hospital | PsA | 23 |
| Feb | university hospital | GCA/PMR | 9 |
| Mar | hospital | RA | 55 |
| Mar | hospital | axSpA | 40 |
| Mar | hospital | PsA | 32 |
| Mar | hospital | GCA/PMR | 13 |
| Mar | private practice | RA | 91 |
| Mar | private practice | axSpA | 99 |
| Mar | private practice | PsA | 62 |
| Mar | private practice | GCA/PMR | 3 |
| Mar | university hospital | RA | 59 |
| Mar | university hospital | axSpA | 58 |
| Mar | university hospital | PsA | 34 |
| Mar | university hospital | GCA/PMR | 8 |
| Apr | hospital | RA | 29 |
| Apr | hospital | axSpA | 32 |
| Apr | hospital | PsA | 20 |
| Apr | private practice | RA | 84 |
| Apr | private practice | axSpA | 73 |
| Apr | private practice | PsA | 56 |
| Apr | private practice | GCA/PMR | 3 |
| Apr | university hospital | RA | 58 |
| Apr | university hospital | axSpA | 36 |
| Apr | university hospital | PsA | 32 |
| Apr | university hospital | GCA/PMR | 9 |
| May | hospital | RA | 47 |
| May | hospital | axSpA | 31 |
| May | hospital | PsA | 23 |
| May | hospital | GCA/PMR | 8 |
| May | private practice | RA | 105 |
| May | private practice | axSpA | 87 |
| May | private practice | PsA | 66 |
| May | private practice | GCA/PMR | 5 |
| May | university hospital | RA | 66 |
| May | university hospital | axSpA | 35 |
| May | university hospital | PsA | 32 |
| May | university hospital | GCA/PMR | 8 |
| Jun | hospital | RA | 38 |
| Jun | hospital | axSpA | 24 |
| Jun | hospital | PsA | 12 |
| Jun | hospital | GCA/PMR | 2 |
| Jun | private practice | RA | 87 |
| Jun | private practice | axSpA | 85 |
| Jun | private practice | PsA | 62 |
| Jun | private practice | GCA/PMR | 7 |
| Jun | university hospital | RA | 45 |
| Jun | university hospital | axSpA | 29 |
| Jun | university hospital | PsA | 26 |
| Jun | university hospital | GCA/PMR | 8 |
| Jul | hospital | RA | 32 |
| Jul | hospital | axSpA | 31 |
| Jul | hospital | PsA | 22 |
| Jul | hospital | GCA/PMR | 4 |
| Jul | private practice | RA | 61 |
| Jul | private practice | axSpA | 62 |
| Jul | private practice | PsA | 65 |
| Jul | private practice | GCA/PMR | 5 |
| Jul | university hospital | RA | 51 |
| Jul | university hospital | axSpA | 33 |
| Jul | university hospital | PsA | 26 |
| Jul | university hospital | GCA/PMR | 12 |
| Aug | hospital | RA | 20 |
| Aug | hospital | axSpA | 21 |
| Aug | hospital | PsA | 11 |
| Aug | hospital | GCA/PMR | 3 |
| Aug | private practice | RA | 67 |
| Aug | private practice | axSpA | 67 |
| Aug | private practice | PsA | 56 |
| Aug | private practice | GCA/PMR | 5 |
| Aug | university hospital | RA | 55 |
| Aug | university hospital | axSpA | 32 |
| Aug | university hospital | PsA | 33 |
| Aug | university hospital | GCA/PMR | 14 |
| Sep | hospital | RA | 29 |
| Sep | hospital | axSpA | 42 |
| Sep | hospital | PsA | 25 |
| Sep | hospital | GCA/PMR | 2 |
| Sep | private practice | RA | 92 |
| Sep | private practice | axSpA | 75 |
| Sep | private practice | PsA | 69 |
| Sep | private practice | GCA/PMR | 8 |
| Sep | university hospital | RA | 46 |
| Sep | university hospital | axSpA | 35 |
| Sep | university hospital | PsA | 31 |
| Sep | university hospital | GCA/PMR | 16 |
| Oct | hospital | RA | 21 |
| Oct | hospital | axSpA | 26 |
| Oct | hospital | PsA | 10 |
| Oct | hospital | GCA/PMR | 7 |
| Oct | private practice | RA | 71 |
| Oct | private practice | axSpA | 78 |
| Oct | private practice | PsA | 52 |
| Oct | private practice | GCA/PMR | 3 |
| Oct | university hospital | RA | 61 |
| Oct | university hospital | axSpA | 43 |
| Oct | university hospital | PsA | 29 |
| Oct | university hospital | GCA/PMR | 13 |
| Nov | hospital | RA | 28 |
| Nov | hospital | axSpA | 32 |
| Nov | hospital | PsA | 20 |
| Nov | hospital | GCA/PMR | 2 |
| Nov | private practice | RA | 59 |
| Nov | private practice | axSpA | 76 |
| Nov | private practice | PsA | 64 |
| Nov | private practice | GCA/PMR | 4 |
| Nov | university hospital | RA | 70 |
| Nov | university hospital | axSpA | 60 |
| Nov | university hospital | PsA | 38 |
| Nov | university hospital | GCA/PMR | 15 |
| Dec | hospital | RA | 27 |
| Dec | hospital | axSpA | 17 |
| Dec | hospital | PsA | 13 |
| Dec | hospital | GCA/PMR | 1 |
| Dec | private practice | RA | 67 |
| Dec | private practice | axSpA | 69 |
| Dec | private practice | PsA | 40 |
| Dec | private practice | GCA/PMR | 5 |
| Dec | university hospital | RA | 47 |
| Dec | university hospital | axSpA | 32 |
| Dec | university hospital | PsA | 29 |
| Dec | university hospital | GCA/PMR | 8 |
| mon | hospital_type | diagnosis | n |
|---|---|---|---|
| Jan | hospital | RA | 14 |
| Jan | hospital | axSpA | 3 |
| Jan | hospital | PsA | 6 |
| Jan | hospital | GCA/PMR | 1 |
| Jan | private practice | RA | 2 |
| Jan | private practice | axSpA | 9 |
| Jan | private practice | PsA | 4 |
| Jan | private practice | GCA/PMR | 1 |
| Jan | university hospital | RA | 10 |
| Jan | university hospital | axSpA | 5 |
| Jan | university hospital | PsA | 4 |
| Jan | university hospital | GCA/PMR | 6 |
| Feb | hospital | RA | 9 |
| Feb | hospital | axSpA | 4 |
| Feb | hospital | PsA | 4 |
| Feb | hospital | GCA/PMR | 4 |
| Feb | private practice | RA | 6 |
| Feb | private practice | axSpA | 9 |
| Feb | private practice | PsA | 3 |
| Feb | private practice | GCA/PMR | 1 |
| Feb | university hospital | RA | 4 |
| Feb | university hospital | axSpA | 1 |
| Feb | university hospital | PsA | 3 |
| Feb | university hospital | GCA/PMR | 1 |
| Mar | hospital | RA | 19 |
| Mar | hospital | axSpA | 10 |
| Mar | hospital | PsA | 7 |
| Mar | hospital | GCA/PMR | 9 |
| Mar | private practice | RA | 2 |
| Mar | private practice | axSpA | 6 |
| Mar | private practice | PsA | 8 |
| Mar | private practice | GCA/PMR | 1 |
| Mar | university hospital | RA | 4 |
| Mar | university hospital | axSpA | 5 |
| Mar | university hospital | GCA/PMR | 1 |
| Apr | hospital | RA | 4 |
| Apr | hospital | axSpA | 11 |
| Apr | hospital | PsA | 4 |
| Apr | private practice | RA | 3 |
| Apr | private practice | axSpA | 1 |
| Apr | private practice | PsA | 4 |
| Apr | university hospital | RA | 6 |
| Apr | university hospital | axSpA | 5 |
| Apr | university hospital | PsA | 2 |
| Apr | university hospital | GCA/PMR | 2 |
| May | hospital | RA | 9 |
| May | hospital | axSpA | 6 |
| May | hospital | PsA | 8 |
| May | hospital | GCA/PMR | 7 |
| May | private practice | RA | 3 |
| May | private practice | axSpA | 11 |
| May | private practice | PsA | 7 |
| May | private practice | GCA/PMR | 2 |
| May | university hospital | RA | 5 |
| May | university hospital | axSpA | 5 |
| May | university hospital | PsA | 1 |
| May | university hospital | GCA/PMR | 2 |
| Jun | hospital | RA | 5 |
| Jun | hospital | axSpA | 2 |
| Jun | hospital | PsA | 3 |
| Jun | private practice | RA | 4 |
| Jun | private practice | axSpA | 3 |
| Jun | private practice | PsA | 2 |
| Jun | private practice | GCA/PMR | 1 |
| Jun | university hospital | RA | 7 |
| Jun | university hospital | axSpA | 1 |
| Jun | university hospital | PsA | 4 |
| Jun | university hospital | GCA/PMR | 2 |
| Jul | hospital | RA | 5 |
| Jul | hospital | axSpA | 4 |
| Jul | hospital | PsA | 7 |
| Jul | hospital | GCA/PMR | 4 |
| Jul | private practice | RA | 1 |
| Jul | private practice | axSpA | 6 |
| Jul | private practice | PsA | 3 |
| Jul | private practice | GCA/PMR | 1 |
| Jul | university hospital | RA | 9 |
| Jul | university hospital | axSpA | 6 |
| Jul | university hospital | PsA | 5 |
| Jul | university hospital | GCA/PMR | 1 |
| Aug | hospital | RA | 6 |
| Aug | hospital | axSpA | 5 |
| Aug | hospital | PsA | 4 |
| Aug | hospital | GCA/PMR | 1 |
| Aug | private practice | RA | 1 |
| Aug | private practice | axSpA | 4 |
| Aug | private practice | PsA | 4 |
| Aug | university hospital | RA | 4 |
| Aug | university hospital | axSpA | 7 |
| Aug | university hospital | PsA | 2 |
| Aug | university hospital | GCA/PMR | 4 |
| Sep | hospital | RA | 6 |
| Sep | hospital | axSpA | 11 |
| Sep | hospital | PsA | 8 |
| Sep | hospital | GCA/PMR | 2 |
| Sep | private practice | RA | 5 |
| Sep | private practice | axSpA | 4 |
| Sep | private practice | PsA | 2 |
| Sep | private practice | GCA/PMR | 2 |
| Sep | university hospital | RA | 2 |
| Sep | university hospital | axSpA | 2 |
| Sep | university hospital | PsA | 2 |
| Sep | university hospital | GCA/PMR | 5 |
| Oct | hospital | RA | 3 |
| Oct | hospital | axSpA | 4 |
| Oct | hospital | PsA | 1 |
| Oct | hospital | GCA/PMR | 4 |
| Oct | private practice | RA | 3 |
| Oct | private practice | axSpA | 4 |
| Oct | private practice | PsA | 2 |
| Oct | university hospital | RA | 9 |
| Oct | university hospital | axSpA | 9 |
| Oct | university hospital | PsA | 2 |
| Oct | university hospital | GCA/PMR | 7 |
| Nov | hospital | RA | 3 |
| Nov | hospital | axSpA | 4 |
| Nov | hospital | PsA | 4 |
| Nov | hospital | GCA/PMR | 2 |
| Nov | private practice | RA | 4 |
| Nov | private practice | axSpA | 3 |
| Nov | private practice | PsA | 2 |
| Nov | private practice | GCA/PMR | 2 |
| Nov | university hospital | RA | 4 |
| Nov | university hospital | axSpA | 10 |
| Nov | university hospital | PsA | 5 |
| Nov | university hospital | GCA/PMR | 1 |
| Dec | hospital | RA | 4 |
| Dec | hospital | axSpA | 4 |
| Dec | hospital | PsA | 3 |
| Dec | private practice | RA | 8 |
| Dec | private practice | axSpA | 2 |
| Dec | private practice | PsA | 4 |
| Dec | university hospital | RA | 6 |
| Dec | university hospital | axSpA | 6 |
| Dec | university hospital | PsA | 4 |
| mon | diagnosis | n |
|---|---|---|
| Jan | RA | 562 |
| Jan | axSpA | 610 |
| Jan | PsA | 380 |
| Jan | GCA/PMR | 32 |
| Feb | RA | 516 |
| Feb | axSpA | 529 |
| Feb | PsA | 348 |
| Feb | GCA/PMR | 29 |
| Mar | RA | 519 |
| Mar | axSpA | 563 |
| Mar | PsA | 364 |
| Mar | GCA/PMR | 33 |
| Apr | RA | 508 |
| Apr | axSpA | 551 |
| Apr | PsA | 350 |
| Apr | GCA/PMR | 37 |
| May | RA | 531 |
| May | axSpA | 578 |
| May | PsA | 365 |
| May | GCA/PMR | 33 |
| Jun | RA | 509 |
| Jun | axSpA | 568 |
| Jun | PsA | 357 |
| Jun | GCA/PMR | 42 |
| Jul | RA | 492 |
| Jul | axSpA | 543 |
| Jul | PsA | 374 |
| Jul | GCA/PMR | 43 |
| Aug | RA | 531 |
| Aug | axSpA | 570 |
| Aug | PsA | 346 |
| Aug | GCA/PMR | 41 |
| Sep | RA | 514 |
| Sep | axSpA | 543 |
| Sep | PsA | 354 |
| Sep | GCA/PMR | 44 |
| Oct | RA | 486 |
| Oct | axSpA | 566 |
| Oct | PsA | 348 |
| Oct | GCA/PMR | 45 |
| Nov | RA | 500 |
| Nov | axSpA | 534 |
| Nov | PsA | 360 |
| Nov | GCA/PMR | 41 |
| Dec | RA | 496 |
| Dec | axSpA | 553 |
| Dec | PsA | 359 |
| Dec | GCA/PMR | 43 |
| canton | private practice | hospital | university hospital |
|---|---|---|---|
| TI | 129 | 0 | 0 |
| GR | 2 | 0 | 0 |
| TG | 0 | 2 | 0 |
| ZH | 317 | 129 | 658 |
| AG | 220 | 166 | 0 |
| BS | 591 | 1 | 118 |
| BL | 509 | 38 | 0 |
| SG | 64 | 278 | 0 |
| SO | 240 | 0 | 0 |
| GE | 0 | 0 | 129 |
| VD | 76 | 11 | 357 |
| NE | 0 | 119 | 0 |
| BE | 367 | 159 | 437 |
| LU | 128 | 161 | 0 |
| ZG | 2 | 0 | 0 |
| SZ | 1 | 8 | 0 |
| OW | 13 | 0 | 0 |
| canton | private practice | hospital | university hospital |
|---|---|---|---|
| TI | 4 | 0 | 0 |
| ZH | 19 | 16 | 113 |
| AG | 0 | 30 | 0 |
| BS | 46 | 0 | 25 |
| BL | 37 | 10 | 0 |
| SG | 6 | 63 | 0 |
| SO | 17 | 0 | 0 |
| GE | 0 | 0 | 18 |
| VD | 3 | 3 | 31 |
| NE | 0 | 19 | 0 |
| BE | 20 | 100 | 11 |
| LU | 4 | 7 | 0 |
| ZG | 1 | 0 | 0 |
| OW | 3 | 0 | 0 |
| canton | private practice | hospital | university hospital |
|---|---|---|---|
| TI | 2 | 0 | 0 |
| GR | 1 | 0 | 0 |
| TG | 0 | 1 | 0 |
| ZH | 22 | 19 | 37 |
| AG | 3 | 12 | 0 |
| BS | 8 | 1 | 15 |
| BL | 9 | 4 | 0 |
| SG | 5 | 21 | 0 |
| SO | 2 | 0 | 0 |
| GE | 0 | 0 | 9 |
| VD | 4 | 1 | 3 |
| NE | 0 | 7 | 0 |
| BE | 17 | 3 | 24 |
| LU | 3 | 7 | 0 |
| ZG | 1 | 0 | 0 |
| SZ | 1 | 1 | 0 |
| OW | 1 | 0 | 0 |
| canton | private practice | hospital | university hospital |
|---|---|---|---|
| TI | 2 | 0 | 0 |
| GR | 1 | 0 | 0 |
| TG | 0 | 1 | 0 |
| ZH | 18 | 4 | 1 |
| AG | 3 | 4 | 0 |
| BS | 7 | 1 | 1 |
| BL | 5 | 1 | 0 |
| SG | 5 | 2 | 0 |
| SO | 2 | 0 | 0 |
| GE | 0 | 0 | 1 |
| VD | 4 | 1 | 1 |
| NE | 0 | 1 | 0 |
| BE | 9 | 1 | 1 |
| LU | 2 | 2 | 0 |
| ZG | 1 | 0 | 0 |
| SZ | 1 | 1 | 0 |
| OW | 1 | 0 | 0 |
| canton | RA | axSpA | PsA | GCA/PMR |
|---|---|---|---|---|
| VS | 257 | 98 | 48 | 3 |
| TI | 315 | 121 | 154 | 8 |
| GR | 100 | 38 | 23 | 0 |
| SH | 95 | 29 | 20 | 0 |
| TG | 281 | 42 | 20 | 1 |
| ZH | 2146 | 1499 | 639 | 78 |
| AG | 853 | 381 | 255 | 22 |
| BS | 756 | 562 | 338 | 250 |
| BL | 468 | 294 | 164 | 6 |
| SG | 724 | 337 | 202 | 57 |
| SO | 472 | 227 | 343 | 1 |
| JU | 71 | 10 | 9 | 0 |
| GE | 670 | 248 | 144 | 38 |
| VD | 1007 | 551 | 198 | 11 |
| NE | 190 | 173 | 64 | 6 |
| BE | 1554 | 765 | 529 | 101 |
| LU | 568 | 323 | 184 | 1 |
| ZG | 68 | 30 | 17 | 0 |
| UR | 14 | 2 | 3 | 0 |
| SZ | 13 | 12 | 7 | 0 |
| GL | 8 | 3 | 0 | 0 |
| NW | 20 | 3 | 2 | 0 |
| FR | 205 | 70 | 32 | 0 |
| OW | 60 | 50 | 24 | 0 |
| AR | 42 | 5 | 5 | 0 |
| canton | yes | no |
|---|---|---|
| TI | 31 | 97 |
| GR | 1 | 1 |
| TG | 2 | 0 |
| ZH | 365 | 476 |
| AG | 77 | 170 |
| BS | 200 | 403 |
| BL | 136 | 230 |
| SG | 75 | 253 |
| SO | 20 | 178 |
| GE | 42 | 72 |
| VD | 67 | 202 |
| NE | 36 | 56 |
| BE | 240 | 637 |
| LU | 118 | 162 |
| ZG | 1 | 1 |
| SZ | 2 | 7 |
| OW | 3 | 8 |
| canton | RA | axSpA | PsA | GCA/PMR |
|---|---|---|---|---|
| TI | 54 | 32 | 37 | 5 |
| GR | 0 | 1 | 1 | 0 |
| TG | 2 | 0 | 0 | 0 |
| ZH | 244 | 371 | 183 | 43 |
| AG | 98 | 71 | 63 | 15 |
| BS | 186 | 218 | 125 | 74 |
| BL | 149 | 134 | 79 | 4 |
| SG | 150 | 82 | 78 | 18 |
| SO | 43 | 23 | 131 | 1 |
| GE | 63 | 34 | 14 | 3 |
| VD | 124 | 93 | 50 | 2 |
| NE | 22 | 51 | 19 | 0 |
| BE | 353 | 249 | 205 | 70 |
| LU | 110 | 102 | 68 | 0 |
| ZG | 1 | 0 | 1 | 0 |
| SZ | 4 | 4 | 1 | 0 |
| OW | 4 | 4 | 3 | 0 |
| canton | new | short | mid | long |
|---|---|---|---|---|
| TI | 4 | 34 | 26 | 64 |
| GR | 0 | 0 | 1 | 1 |
| TG | 0 | 1 | 1 | 0 |
| ZH | 148 | 282 | 162 | 249 |
| AG | 30 | 73 | 70 | 74 |
| BS | 71 | 245 | 124 | 163 |
| BL | 47 | 126 | 84 | 109 |
| SG | 69 | 111 | 48 | 100 |
| SO | 17 | 92 | 45 | 44 |
| GE | 18 | 27 | 29 | 40 |
| VD | 37 | 124 | 58 | 50 |
| NE | 19 | 36 | 24 | 13 |
| BE | 131 | 245 | 181 | 320 |
| LU | 11 | 103 | 91 | 75 |
| ZG | 1 | 0 | 0 | 1 |
| SZ | 0 | 2 | 1 | 6 |
| OW | 3 | 0 | 2 | 6 |
| canton | switch | stationary |
|---|---|---|
| TI | 6 | 122 |
| GR | 0 | 2 |
| TG | 1 | 1 |
| ZH | 118 | 723 |
| AG | 72 | 175 |
| BS | 100 | 503 |
| BL | 68 | 298 |
| SG | 34 | 294 |
| SO | 11 | 187 |
| GE | 10 | 104 |
| VD | 46 | 223 |
| NE | 4 | 88 |
| BE | 106 | 771 |
| LU | 50 | 230 |
| ZG | 1 | 1 |
| SZ | 5 | 4 |
| OW | 7 | 4 |
| gender | diagnosis | n |
|---|---|---|
| Female | RA | 1193 |
| Female | axSpA | 696 |
| Female | PsA | 527 |
| Female | GCA/PMR | 145 |
| Male | RA | 414 |
| Male | axSpA | 773 |
| Male | PsA | 531 |
| Male | GCA/PMR | 90 |
| gender | diagnosis | n |
|---|---|---|
| female | RA | 673 |
| female | axSpA | 540 |
| female | PsA | 293 |
| female | GCA/PMR | 29 |
| male | RA | 229 |
| male | axSpA | 468 |
| male | PsA | 302 |
| male | GCA/PMR | 21 |
| generation | diagnosis | n |
|---|---|---|
| 1996 or younger | RA | 31 |
| 1996 or younger | axSpA | 89 |
| 1996 or younger | PsA | 31 |
| 1996 or younger | GCA/PMR | 1 |
| 1980-1995(Millenial) | RA | 176 |
| 1980-1995(Millenial) | axSpA | 514 |
| 1980-1995(Millenial) | PsA | 194 |
| 1980-1995(Millenial) | GCA/PMR | 1 |
| 1964-1979(X) | RA | 484 |
| 1964-1979(X) | axSpA | 586 |
| 1964-1979(X) | PsA | 443 |
| 1964-1979(X) | GCA/PMR | 20 |
| 1945-1963(Boomer) | RA | 815 |
| 1945-1963(Boomer) | axSpA | 270 |
| 1945-1963(Boomer) | PsA | 374 |
| 1945-1963(Boomer) | GCA/PMR | 166 |
| 1944 or older | RA | 101 |
| 1944 or older | axSpA | 10 |
| 1944 or older | PsA | 16 |
| 1944 or older | GCA/PMR | 49 |
| generation | diagnosis | n |
|---|---|---|
| 1996 or younger | RA | 13 |
| 1996 or younger | axSpA | 37 |
| 1996 or younger | PsA | 11 |
| 1996 or younger | GCA/PMR | 1 |
| 1980-1995(Millenial) | RA | 130 |
| 1980-1995(Millenial) | axSpA | 313 |
| 1980-1995(Millenial) | PsA | 113 |
| 1980-1995(Millenial) | GCA/PMR | 1 |
| 1964-1979(X) | RA | 324 |
| 1964-1979(X) | axSpA | 449 |
| 1964-1979(X) | PsA | 267 |
| 1964-1979(X) | GCA/PMR | 9 |
| 1945-1963(Boomer) | RA | 405 |
| 1945-1963(Boomer) | axSpA | 206 |
| 1945-1963(Boomer) | PsA | 196 |
| 1945-1963(Boomer) | GCA/PMR | 39 |
| 1944 or older | RA | 30 |
| 1944 or older | axSpA | 3 |
| 1944 or older | PsA | 8 |
| 1944 or older | GCA/PMR | 2 |
| education | diagnosis | n |
|---|---|---|
| Skipped question | RA | 119 |
| Skipped question | axSpA | 177 |
| Skipped question | PsA | 98 |
| Mandatory | RA | 63 |
| Mandatory | axSpA | 61 |
| Mandatory | PsA | 41 |
| Vocational | RA | 332 |
| Vocational | axSpA | 345 |
| Vocational | PsA | 247 |
| Higher | RA | 209 |
| Higher | axSpA | 266 |
| Higher | PsA | 165 |
| education | diagnosis | n |
|---|---|---|
| Skipped question | RA | 60 |
| Skipped question | axSpA | 130 |
| Skipped question | PsA | 43 |
| Mandatory | RA | 31 |
| Mandatory | axSpA | 29 |
| Mandatory | PsA | 15 |
| Vocational | RA | 180 |
| Vocational | axSpA | 215 |
| Vocational | PsA | 142 |
| Higher | RA | 140 |
| Higher | axSpA | 206 |
| Higher | PsA | 100 |
| work | diagnosis | n |
|---|---|---|
| No answer | RA | 9 |
| No answer | axSpA | 74 |
| No answer | PsA | 8 |
| Pension | RA | 367 |
| Pension | axSpA | 192 |
| Pension | PsA | 210 |
| Productive | RA | 347 |
| Productive | axSpA | 583 |
| Productive | PsA | 333 |
| work | diagnosis | n |
|---|---|---|
| No answer | RA | 4 |
| No answer | axSpA | 60 |
| No answer | PsA | 2 |
| Pension | RA | 181 |
| Pension | axSpA | 133 |
| Pension | PsA | 99 |
| Productive | RA | 226 |
| Productive | axSpA | 387 |
| Productive | PsA | 199 |
| diagnosis | patient_score | population | n | percentage |
|---|---|---|---|---|
| RA | 0 | New inclusion | 29 | 0.19000 |
| RA | 1 | New inclusion | 28 | 0.18000 |
| RA | 2 | New inclusion | 28 | 0.18000 |
| RA | 3 | New inclusion | 14 | 0.09200 |
| RA | 4 | New inclusion | 15 | 0.09800 |
| RA | 5 | New inclusion | 14 | 0.09200 |
| RA | 6 | New inclusion | 8 | 0.05200 |
| RA | 7 | New inclusion | 8 | 0.05200 |
| RA | 8 | New inclusion | 4 | 0.02600 |
| RA | 9 | New inclusion | 3 | 0.02000 |
| RA | 10 | New inclusion | 2 | 0.01300 |
| RA | 0 | Patient at FU | 333 | 0.31000 |
| RA | 1 | Patient at FU | 225 | 0.21000 |
| RA | 2 | Patient at FU | 165 | 0.15000 |
| RA | 3 | Patient at FU | 113 | 0.10000 |
| RA | 4 | Patient at FU | 87 | 0.08100 |
| RA | 5 | Patient at FU | 84 | 0.07800 |
| RA | 6 | Patient at FU | 31 | 0.02900 |
| RA | 7 | Patient at FU | 23 | 0.02100 |
| RA | 8 | Patient at FU | 14 | 0.01300 |
| RA | 9 | Patient at FU | 3 | 0.00280 |
| RA | 10 | Patient at FU | 1 | 0.00093 |
| axSpA | 0 | New inclusion | 22 | 0.15000 |
| axSpA | 1 | New inclusion | 22 | 0.15000 |
| axSpA | 2 | New inclusion | 25 | 0.17000 |
| axSpA | 3 | New inclusion | 17 | 0.12000 |
| axSpA | 4 | New inclusion | 14 | 0.09600 |
| axSpA | 5 | New inclusion | 18 | 0.12000 |
| axSpA | 6 | New inclusion | 8 | 0.05500 |
| axSpA | 7 | New inclusion | 9 | 0.06200 |
| axSpA | 8 | New inclusion | 7 | 0.04800 |
| axSpA | 9 | New inclusion | 2 | 0.01400 |
| axSpA | 10 | New inclusion | 2 | 0.01400 |
| axSpA | 0 | Patient at FU | 233 | 0.23000 |
| axSpA | 1 | Patient at FU | 186 | 0.18000 |
| axSpA | 2 | Patient at FU | 187 | 0.18000 |
| axSpA | 3 | Patient at FU | 120 | 0.12000 |
| axSpA | 4 | Patient at FU | 87 | 0.08600 |
| axSpA | 5 | Patient at FU | 79 | 0.07800 |
| axSpA | 6 | Patient at FU | 56 | 0.05500 |
| axSpA | 7 | Patient at FU | 36 | 0.03500 |
| axSpA | 8 | Patient at FU | 22 | 0.02200 |
| axSpA | 9 | Patient at FU | 8 | 0.00790 |
| axSpA | 10 | Patient at FU | 2 | 0.00200 |
| PsA | 0 | New inclusion | 13 | 0.14000 |
| PsA | 1 | New inclusion | 17 | 0.18000 |
| PsA | 2 | New inclusion | 20 | 0.21000 |
| PsA | 3 | New inclusion | 13 | 0.14000 |
| PsA | 4 | New inclusion | 10 | 0.11000 |
| PsA | 5 | New inclusion | 8 | 0.08400 |
| PsA | 6 | New inclusion | 5 | 0.05300 |
| PsA | 7 | New inclusion | 6 | 0.06300 |
| PsA | 8 | New inclusion | 3 | 0.03200 |
| PsA | 9 | New inclusion | 0 | 0.00000 |
| PsA | 10 | New inclusion | 0 | 0.00000 |
| PsA | 0 | Patient at FU | 163 | 0.22000 |
| PsA | 1 | Patient at FU | 174 | 0.24000 |
| PsA | 2 | Patient at FU | 122 | 0.16000 |
| PsA | 3 | Patient at FU | 86 | 0.12000 |
| PsA | 4 | Patient at FU | 71 | 0.09600 |
| PsA | 5 | Patient at FU | 58 | 0.07800 |
| PsA | 6 | Patient at FU | 32 | 0.04300 |
| PsA | 7 | Patient at FU | 19 | 0.02600 |
| PsA | 8 | Patient at FU | 14 | 0.01900 |
| PsA | 9 | Patient at FU | 1 | 0.00140 |
| PsA | 10 | Patient at FU | 0 | 0.00000 |
| GCA/PMR | 0 | New inclusion | 19 | 0.40000 |
| GCA/PMR | 1 | New inclusion | 9 | 0.19000 |
| GCA/PMR | 2 | New inclusion | 7 | 0.15000 |
| GCA/PMR | 3 | New inclusion | 3 | 0.06200 |
| GCA/PMR | 4 | New inclusion | 2 | 0.04200 |
| GCA/PMR | 5 | New inclusion | 2 | 0.04200 |
| GCA/PMR | 6 | New inclusion | 2 | 0.04200 |
| GCA/PMR | 7 | New inclusion | 2 | 0.04200 |
| GCA/PMR | 8 | New inclusion | 2 | 0.04200 |
| GCA/PMR | 9 | New inclusion | 0 | 0.00000 |
| GCA/PMR | 10 | New inclusion | 0 | 0.00000 |
| GCA/PMR | 0 | Patient at FU | 71 | 0.74000 |
| GCA/PMR | 1 | Patient at FU | 9 | 0.09400 |
| GCA/PMR | 2 | Patient at FU | 5 | 0.05200 |
| GCA/PMR | 3 | Patient at FU | 3 | 0.03100 |
| GCA/PMR | 4 | Patient at FU | 4 | 0.04200 |
| GCA/PMR | 5 | Patient at FU | 2 | 0.02100 |
| GCA/PMR | 6 | Patient at FU | 1 | 0.01000 |
| GCA/PMR | 7 | Patient at FU | 1 | 0.01000 |
| GCA/PMR | 8 | Patient at FU | 0 | 0.00000 |
| GCA/PMR | 9 | Patient at FU | 0 | 0.00000 |
| GCA/PMR | 10 | Patient at FU | 0 | 0.00000 |
| diagnosis | group | n |
|---|---|---|
| RA | Used mySCQM in 2025 | 471 |
| RA | Former user | 143 |
| RA | Never used mySCQM | 993 |
| axSpA | Used mySCQM in 2025 | 574 |
| axSpA | Former user | 189 |
| axSpA | Never used mySCQM | 706 |
| PsA | Used mySCQM in 2025 | 341 |
| PsA | Former user | 90 |
| PsA | Never used mySCQM | 627 |
| GCA/PMR | Used mySCQM in 2025 | 30 |
| GCA/PMR | Former user | 3 |
| GCA/PMR | Never used mySCQM | 202 |
| diagnosis | group | n |
|---|---|---|
| RA | 2025 | 471 |
| RA | 2024 | 166 |
| RA | 2 to 4 years ago | 106 |
| RA | More than 4 years ago | 159 |
| axSpA | 2025 | 574 |
| axSpA | 2024 | 171 |
| axSpA | 2 to 4 years ago | 108 |
| axSpA | More than 4 years ago | 155 |
| PsA | 2025 | 341 |
| PsA | 2024 | 99 |
| PsA | 2 to 4 years ago | 70 |
| PsA | More than 4 years ago | 85 |
| GCA/PMR | 2025 | 30 |
| GCA/PMR | 2024 | 13 |
| GCA/PMR | 2 to 4 years ago | 7 |
| GCA/PMR | More than 4 years ago | 1 |
| diagnosis | group | n |
|---|---|---|
| RA | Less than a year | 119 |
| RA | 1 to 3 years | 21 |
| RA | 3 to 10 years | 11 |
| RA | More than 10 years | 48 |
| axSpA | Less than a year | 55 |
| axSpA | 1 to 3 years | 24 |
| axSpA | 3 to 10 years | 45 |
| axSpA | More than 10 years | 68 |
| PsA | Less than a year | 46 |
| PsA | 1 to 3 years | 28 |
| PsA | 3 to 10 years | 23 |
| PsA | More than 10 years | 41 |
| GCA/PMR | Less than a year | 51 |
| GCA/PMR | 1 to 3 years | 3 |
| GCA/PMR | 3 to 10 years | 4 |
| GCA/PMR | More than 10 years | 19 |
| time | n |
|---|---|
| Q1 2015 | 335 |
| Q2 2015 | 353 |
| Q3 2015 | 370 |
| Q4 2015 | 396 |
| Q1 2016 | 415 |
| Q2 2016 | 437 |
| Q3 2016 | 451 |
| Q4 2016 | 469 |
| Q1 2017 | 495 |
| Q2 2017 | 512 |
| Q3 2017 | 530 |
| Q4 2017 | 546 |
| Q1 2018 | 566 |
| Q2 2018 | 577 |
| Q3 2018 | 589 |
| Q4 2018 | 602 |
| Q1 2019 | 625 |
| Q2 2019 | 644 |
| Q3 2019 | 661 |
| Q4 2019 | 679 |
| Q1 2020 | 691 |
| Q2 2020 | 709 |
| Q3 2020 | 725 |
| Q4 2020 | 757 |
| Q1 2021 | 783 |
| Q2 2021 | 797 |
| Q3 2021 | 806 |
| Q4 2021 | 820 |
| Q1 2022 | 828 |
| Q2 2022 | 833 |
| Q3 2022 | 841 |
| Q4 2022 | 850 |
| Q1 2023 | 861 |
| Q2 2023 | 867 |
| Q3 2023 | 876 |
| Q4 2023 | 884 |
| Q1 2024 | 903 |
| Q2 2024 | 917 |
| Q3 2024 | 933 |
| Q4 2024 | 949 |
| Q1 2025 | 959 |
| Q2 2025 | 971 |
| Q3 2025 | 1002 |
| Q4 2025 | 1017 |