Data Addendum 2025

Published

April 27, 2026

Visits

New patients

Patient self-observation
Figure 1: Main data collection within the SCQM in 2025

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.

Table 1: Characterisation of the entire SCQM main cohorts at the conclusion of 2025.
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)

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.

Table 2: Characterisation of the population that participated within the SCQM via visits throughout 2025.
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]
Table 3: Characterisation of the population of newly participating patients throughout 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)
Table 4: Characterisation of the population that contributed to SCQM via mySCQM self-observations throughout 2025.
*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.

Table 5: Ranking of contributing institutions based on their visits.
*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.
2025, Cutoff: 100 visits
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
Top 20 across entire SCQM
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
Table 6: Ranking of contributing institutions based on their inclusions.
*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.
2025, Cutoff: 10 inclusions
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
Top 20 across entire SCQM
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
Table 7: Ranking of contributing institutions based on introducing both new and existing patients to mySCQM.
*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.
2025, Cutoff: 5 mySCQM activations
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
Top 20 across entire SCQM
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.

(a) Visits
(b) Inclusions
(c) Doctors that contributed visits
(d) Institutions that contributed visits
Figure 2: SCQM clinical data collection across Switzerland throughout 2025. Note that we do not track location during mySCQM use, thus preventing inclusion within these figures.
Figure 3: The entire cumulative SCQM cohort at the end of 2025. This figure matches the contents of Table 1.
(a) Patients split by mySCQM use
(b) Patients split by diagnosis
(c) Patients split by FU