Data Addendum 2024

Published

June 25, 2025

Visits

New patients

Patient self-observation
Figure 1: Main data collection within the SCQM in 2024

1 Introduction

This report provides an overview on the data and information collected in the past year (2024) 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 2025-05-01.

Where not otherwise specified we report data or information on the SCQM patient populations at the end of 2024. 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 2024 the main SCQM research cohorts encompass 20205 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 2024.
Variable Level Overall RA axSpA PsA GCA/PMR
N of patients 20205 10753 5674 3275 503
Collection start 1997 2005 2006 2020
Year of inclusion (median [IQR]) 2012 [2007, 2017] 2009 [2003, 2015] 2014 [2009, 2018] 2015 [2010, 2019] 2022 [2021, 2023]
Last visit in (%) 2024 3436 (17.0) 1341 (12.5) 1115 (19.7) 807 (24.6) 173 (34.4)
2023 1269 (6.3) 540 (5.0) 397 (7.0) 240 (7.3) 92 (18.3)
Officially discontinued 7629 (37.8) 5033 (46.8) 1758 (31.0) 823 (25.1) 15 (3.0)
Inactive for at least 2 years 7871 (39.0) 3839 (35.7) 2404 (42.4) 1405 (42.9) 223 (44.3)
Year of last visit (median [IQR]) 2019 [2012, 2024] 2016 [2010, 2022] 2020 [2015, 2024] 2021 [2016, 2024] 2023 [2022, 2024]
Years of clinical FU (median [IQR]) 3.80 [1.04, 8.39] 4.30 [1.22, 9.11] 3.35 [0.96, 7.90] 3.71 [1.05, 7.92] 1.05 [0.00, 2.40]
Visits per patient (mean (SD)) 6.48 (6.08) 7.20 (6.77) 5.60 (5.02) 6.01 (5.24) 3.76 (3.34)
mySCQM entries per patient (mean (SD)) 5.76 (16.64) 4.10 (14.04) 7.90 (19.15) 8.07 (19.66) 1.94 (9.57)
Institution of inclusion visit (%) hospital 4400 (21.8) 2405 (22.4) 1319 (23.2) 582 (17.8) 94 (18.7)
private practice 11141 (55.1) 6067 (56.4) 3057 (53.9) 1946 (59.4) 71 (14.1)
university hospital 4664 (23.1) 2281 (21.2) 1298 (22.9) 747 (22.8) 338 (67.2)
Switched institution (%) All visits at inclusion site 17924 (88.7) 9490 (88.3) 4985 (87.9) 2951 (90.1) 498 (99.0)
Visits in multiple institutions 2281 (11.3) 1263 (11.7) 689 (12.1) 324 (9.9) 5 (1.0)

2 Core Data

Key Numbers

In 2024 the SCQM recorded 5827 visits from 4643 patients. Among these 527 patients were new inclusions. Furthermore, 18517 mySCQM entries were made by 2548 patients. Among these 230 were new mySCQM users. Visits were recorded by 246 doctors spread across 92 institutions in 16 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 2024.
Variable Level Overall RA axSpA PsA GCA/PMR
N of visits 5827 2252 1874 1408 293
Visit-related patient questionnaire (%) Included 3417 (58.6) 1276 (56.7) 1177 (62.8) 868 (61.6) 96 (32.8)
Not included 2410 (41.4) 976 (43.3) 697 (37.2) 540 (38.4) 197 (67.2)
Visit number within patient (%) Inclusion 527 (9.0) 168 (7.5) 162 (8.6) 146 (10.4) 51 (17.4)
2nd visit 529 (9.1) 141 (6.3) 168 (9.0) 140 (9.9) 80 (27.3)
3rd, 4th or 5th 1345 (23.1) 436 (19.4) 418 (22.3) 367 (26.1) 124 (42.3)
6th, 7th or 8th 924 (15.9) 349 (15.5) 311 (16.6) 244 (17.3) 20 (6.8)
9th visit or higher 2502 (42.9) 1158 (51.4) 815 (43.5) 511 (36.3) 18 (6.1)
Years since symptom onset (median [IQR]) 13.90 [6.99, 22.50] 14.36 [7.37, 22.05] 16.25 [9.37, 25.43] 12.92 [7.23, 20.97] 2.18 [0.93, 4.11]
Years since diagnosis (median [IQR]) 10.44 [4.64, 17.33] 12.62 [6.25, 19.65] 10.37 [4.88, 16.64] 9.76 [4.57, 16.16] 2.05 [0.80, 3.82]
Type of institution (%) hospital 993 (17.0) 350 (15.5) 370 (19.7) 177 (12.6) 96 (32.8)
private practice 3010 (51.7) 1138 (50.5) 1013 (54.1) 792 (56.2) 67 (22.9)
university hospital 1824 (31.3) 764 (33.9) 491 (26.2) 439 (31.2) 130 (44.4)
Per patient
N patients with visits 4643 1798 1511 1106 228
N of visits per patient (mean (SD)) 1.26 (0.66) 1.25 (0.67) 1.24 (0.65) 1.27 (0.68) 1.29 (0.57)
Year of inclusion (median [IQR]) 2018 [2013, 2022] 2016 [2011, 2021] 2018 [2013, 2022] 2019 [2014, 2022] 2023 [2021, 2023]
Table 3: Characterisation of the population of newly participating patients throughout 2024.
*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 527 168 162 146 51
Age* at inclusion (median [IQR]) 53 [41, 65.50] 59 [48, 70] 42 [34, 49] 53 [43, 63] 76 [64.50, 79.50]
Years since symptom onset (median [IQR]) 4.81 [1.40, 12.65] 4.21 [1.35, 13.64] 7.38 [3.16, 14.84] 5.16 [2.12, 9.80] 0.50 [0.25, 1.31]
Years since diagnosis (median [IQR]) 2.33 [0.55, 7.97] 3.16 [0.74, 11.79] 2.81 [0.77, 7.86] 2.36 [0.58, 6.26] 0.11 [0.03, 1.34]
Type of institution (%) hospital 115 (21.8) 35 (20.8) 46 (28.4) 20 (13.7) 14 (27.5)
private practice 194 (36.8) 48 (28.6) 70 (43.2) 62 (42.5) 14 (27.5)
university hospital 218 (41.4) 85 (50.6) 46 (28.4) 64 (43.8) 23 (45.1)
Table 4: Characterisation of the population that contributed to SCQM via mySCQM self-observations throughout 2024.
*refers to patients that used the app in 2024, but not in 2023.
**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 18517 6662 6990 4503 362
Entry number within patient (%) 1st entry 230 (1.2) 64 (1.0) 95 (1.4) 62 (1.4) 9 (2.5)
2nd to 10th 1914 (10.3) 552 (8.3) 852 (12.2) 433 (9.6) 77 (21.3)
11th to 40th 7393 (39.9) 2638 (39.6) 2812 (40.2) 1768 (39.3) 175 (48.3)
41th to 100th 8479 (45.8) 3270 (49.1) 2975 (42.6) 2149 (47.7) 85 (23.5)
101th entry or higher 501 (2.7) 138 (2.1) 256 (3.7) 91 (2.0) 16 (4.4)
Per patient
N patients with entries 2548 912 1017 584 35
N of entries per patient (mean (SD)) 7.27 (5.02) 7.30 (4.74) 6.87 (4.97) 7.71 (4.90) 10.34 (10.87)
User history (%) New user 230 (9.0) 64 (7.0) 95 (9.3) 62 (10.6) 9 (25.7)
Ongoing user 2193 (86.1) 803 (88.0) 867 (85.3) 497 (85.1) 26 (74.3)
Returning* user 125 (4.9) 45 (4.9) 55 (5.4) 25 (4.3) 0 (0.0)
Years of continued** usage (median [IQR]) 4.00 [2.75, 5.00] 4.00 [3.00, 4.00] 4.00 [2.00, 5.00] 4.00 [2.00, 4.00] 1.00 [0.50, 2.00]
Year of last visit (median [IQR]) 2024 [2023, 2024] 2024 [2022, 2024] 2024 [2023, 2024] 2024 [2023, 2025] 2024 [2024, 2024]

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 2024 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.
2024, Cutoff: 100 visits
Rank Institution Type of institution Canton Change from 2023*
1 Universitätsspital Zürich UH ZH +1
2 Inselspital Bern UH BE -1
3 Centre hospitalier universitaire vaudois UH VD
4 HOCH Health Ostschweiz, Kantonsspital St.Gallen H SG +3
5 Rheumazentrum Laufen, Laufen PP BL +4
6 Rheuma Basel, Basel PP BS -1
7 Praxis Dr. med. Renate Mathieu, Solothurn PP SO +1
8 Hirslanden Klinik St. Anna im Bahnhof, Luzern PP LU -1
9 Hôpital La Chaux-de-Fonds H NE +2
10 Hôpitaux universitaires de Genève UH GE -4
11 rheumaliestal, Liestal PP BL +3
12 Ultraschall Zentrum Rheumatologie, Basel PP BS +1
13 Aerztegemeinschaft 115, Wettingen PP AG -3
14 Universitätsspital Basel UH BS -2
15 Rheumatologie im Zürcher Oberland, Uster PP ZH +1
16 rheuma-bern ag, Bern PP BE +2
17 Kantonsspital Aarau H AG +4
18 Rheumapraxis Sursee, Sursee PP LU -1
19 Kantonsspital Baden, Standort Brugg H AG +1
Top 20 across entire SCQM
Rank Institution Type of institution Canton Best year** Change from 2023*
1 Universitätsspital Zürich UH ZH 2024
2 Inselspital Bern UH BE 2018
3 Hôpitaux universitaires de Genève UH GE 2017
4 Centre hospitalier universitaire vaudois UH VD 2024
5 Rheuma Basel, Basel PP BS 2023
6 HOCH Health Ostschweiz, Kantonsspital St.Gallen H SG 2023
7 Bethesda-Spital, Basel H BS 2016
8 Kantonsspital Aarau H AG 2017
9 Hirslanden Klinik St. Anna im Bahnhof, Luzern PP LU 2019
10 Universitätsspital Basel UH BS 2021
11 OsteoRheumaBern, Bern PP BE 2017 +1
12 Praxis Dr. med. Alexander Martin, Liestal PP BL 2012 -1
13 Luzerner Kantonsspital, Luzern H LU 2012
14 Hôpital La Chaux-de-Fonds H NE 2017 +2
15 Kantonsspital Winterthur, Winterthur H ZH 2014 -1
16 Medizinisches Zentrum Brugg, Brugg PP AG 2016 -1
17 Berner Rheumazentrum, Bern PP BE 2018
18 rheumaliestal, Liestal PP BL 2021 +1
19 Praxis Dr. med. Renate Mathieu, Solothurn PP SO 2023 +2
20 Klinik Impuls, Wetzikon PP ZH 2021
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.
2024, Cutoff: 10 inclusions
Rank Institution Type of institution Canton Change from 2023*
1 Universitätsspital Zürich UH ZH
2 Universitätsspital Basel UH BS +1
3 Inselspital Bern UH BE -1
4 Hôpital La Chaux-de-Fonds H NE +2
5 Praxis Dr. med. Renate Mathieu, Solothurn PP SO
6 Ultraschall Zentrum Rheumatologie, Basel PP BS +4
7 Centre hospitalier universitaire vaudois UH VD +1
8 HOCH Health Ostschweiz, Kantonsspital St.Gallen H SG +10
9 Hôpitaux universitaires de Genève UH GE
10 Rheuma Basel, Basel PP BS -3
11 Rheumatologie im Zürcher Oberland, Uster PP ZH +9
12 Kantonsspital Aarau H AG +9
13 rheumaliestal, Liestal PP BL +21
14 Hirslanden Klinik St. Anna im Bahnhof, Luzern PP LU -3
15 Hôpital Riviera-Chablais, Vaud-Valais, Rennaz H VD +15
16 Spital Wil H SG +3
Top 20 across entire SCQM
Rank Institution Type of Institution Canton Best year** Change from 2023*
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 Hirslanden Klinik St. Anna im Bahnhof, Luzern PP LU 2013
10 Universitätsklinik Balgrist, Zürich H ZH 2008
11 Bethesda-Spital, Basel H BS 2011
12 OsteoRheumaBern, Bern PP BE 2016
13 Hôpital La Chaux-de-Fonds H NE 2015 +1
14 Kantonsspital Winterthur, Winterthur H ZH 2013 -1
15 Luzerner Kantonsspital, Luzern H LU 2011
16 Berner Rheumazentrum, Bern PP BE 2018
17 Praxis Dr. med. Renate Mathieu, Solothurn PP SO 2023 +2
18 Bürgerspital Solothurn, Solothurn H SO 2010 -1
19 Klinik Impuls, Wetzikon PP ZH 2005 -1
20 rheumaliestal, Liestal PP BL 2017 +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.
2024, Cutoff: 5 mySCQM activations
Rank Institution Type of institution Canton Change from 2023*
1 Universitätsspital Zürich UH ZH
2 Hôpital La Chaux-de-Fonds H NE +11
3 Ultraschall Zentrum Rheumatologie, Basel PP BS +5
4 Hôpitaux universitaires de Genève UH GE +3
5 Hirslanden Klinik St. Anna im Bahnhof, Luzern PP LU -1
6 Centre hospitalier universitaire vaudois UH VD -3
7 Rheuma Basel, Basel PP BS -5
8 Hôpital Riviera-Chablais, Vaud-Valais, Rennaz H VD +33
9 Kantonsspital Baden, Standort Brugg H AG +1
10 Inselspital Bern UH BE -5
11 Rheumatologie im Zürcher Oberland, Uster PP ZH +3
12 HOCH Health Ostschweiz, Kantonsspital St.Gallen H SG +8
13 Universitätsklinik Balgrist, Zürich H ZH +2
14 Praxis Tölle, Basel PP BS -2
15 rheumaliestal, Liestal PP BL +3
Top 20 across entire SCQM
Rank Institution Type of Institution Canton Best year** Change from 2023*
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 Hirslanden Klinik St. Anna im Bahnhof, Luzern PP 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 Rheumatologie im Zürcher Oberland, Uster PP ZH 2020
10 Hôpital La Chaux-de-Fonds H NE 2020 +2
11 OsteoRheumaBern, Bern PP BE 2020 -1
12 Klinik Impuls, Wetzikon PP ZH 2020 -1
13 Universitätsspital Basel UH BS 2020
14 Praxis Tölle, Basel PP BS 2020
15 Universitätsklinik Balgrist, Zürich H ZH 2020
16 Ultraschall Zentrum Rheumatologie, Basel PP BS 2020 +4
17 Kantonsspital Baden, Standort Brugg H AG 2020
18 Praxis Dr. med. Alexander Martin, Liestal PP BL 2019 -2
19 Studio Medico Badaracco Cattaneo, Lugano PP TI 2017 -1
20 Praxis Widrig-Bernhardt, St. Gallen PP SG 2020 -1

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 2024 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 2024. 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 2024. This figure matches the contents of Table 1.
(a) Patients split by mySCQM use
(b) Patients split by diagnosis
(c) Patients split by FU
(d) Patients split by whether they had a visit at an institution other than their original location of inclusion
Figure 4: Geographical characterization of patients with a visit in 2024. Patients who had visits in multiple cantons during 2024 are counted for the canton of their earliest visit throughout the year.

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 2024. 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.

(a) Patients who had a visit split by biological sex
(b) Patients who participiated in mySCQM split by biological sex
(c) Patients who had a visit split by generation
(d) Patients who participiated in mySCQM split by generation
(e) Patients who had a visit split by level of education
(f) Patients who participiated in mySCQM split by level of education
(g) Patients who had a visit split by work status
(h) Patients who participiated in mySCQM split by work status
Figure 5: Demographics of patients who had a visit or participated in mySCQM in 2024. Figures for education and work status exclude patients where no recent (last two years) information is available and discard anything but the most recent information provided by each patient. Furthermore education and work status is not collected for all cohorts
Figure 6: Estimate of global disease activity by patients at their earliest visit in 2024. See Table 11 for the exact values.
(a) Share of mySCQM use among patients with a visit
(b) Timing of most recenct visit among patients participating in mySCQM
Figure 7: Overlap between visits and mySCQM evaluated based on patients participating throughout 2024.
Figure 8: Interval between symptom onset date and diagnosis date for the new inclusions throughout 2024. Patients missing either date are excluded from this figure.

5 Special Collection

Unclassified Arthritis

Up to and including 2024, the SCQM has recorded 4361 visits from 947 patients within the Unclassified Arthritis cohort. 63 new UA patients were included in 2024. Furthermore, 8630 mySCQM entries were made by 305 UA patients. The number of UA patients using mySCQM has grown by 35. 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.

Figure 9: Cumulative number of patients within the SCQM Unclassified Arthritis cohort at the conclusion of 2024.

Xrays

Up to and including 2024, 49899 sets of Xrays from 12662 patients were shared with the SCQM for use in research. 531 image sets were added in 2024, of which 94 were the first sets of their respective patients. Table 8 provides a description of the these images.

Table 8: Summary of SCQM Xray collection and the patients who contributed to it at the conclusion of 2024.
*active refers to patient with a visit in 2024.
Variable Level Overall RA axSpA PsA GCA/PMR UA
N of Xray sets 49899 33453 15658 463 12 313
Requested Hands and feet a.p. Pelvis a.p., Lumbar spine a.p./lat, Cervical spine lat Hands and feet a.p., Pelvis a.p., Lumbar spine a.p./lat, Cervical spine lat none none
Score (%) a 49899 (100.0) 33453 (100.0) 15658 (100.0) 463 (100.0) 12 (100.0) 313 (100.0)
Taken X years after symptom onset (median [IQR]) 10.40 [4.99, 18.36] 9.21 [4.42, 16.66] 13.27 [6.89, 22.00] 10.22 [4.97, 17.82] - 7.16 [3.31, 13.29]
Taken X years after inclusion (median [IQR]) 2.25 [0.00, 5.56] 2.43 [0.02, 5.89] 2.12 [0.00, 5.04] 1.81 [0.00, 4.18] - 2.01 [0.02, 4.34]
Per patient
N patients with sets 12649 8842 3541 172 - 92
Coverage of entire cohort 60% 82% 62% 5.3% - 9.7%
Sets per patient (mean (SD)) 3.94 (3.94) 3.78 (3.22) 4.42 (5.34) 2.69 (2.67) - 3.40 (3.70)
Active* patients
N active* patient with sets 1841 1081 722 30 - 7
Coverage of active* cohort 51% 81% 65% 3.7% - 3.6%

Biobank

The SCQM Biobank is located in the Sérothèque Centre of Geneva University Hospital, Departement de Médecine génétique et de Laboratoire. Since 2011 the primary objective is to collect one sample of serum and DNA from every patient in the SCQM. There are no exclusion criteria for the patients donating their biosamples to the biobank. All patients in Switzerland, independent of age, disease duration, severity and type of therapy can participate.

The SCQM has collected 4384 biosamples from 3868 patients. Contributions have been enabled by 116 different institutions, spread across 18 cantons. 70 new samples were added in 2024.

More details are available in Table 9.

Table 9: Summary of the SCQM Biobank and the patients who contributed to it at the conclusion of 2024.
*active refers to patient with a visit in 2024.
Variable Level Overall RA axSpA PsA GCA/PMR UA
N of biosamples 4384 2096 1300 698 117 173
Includes (%) DNA and serum 4061 (92.6) 1953 (93.2) 1171 (90.1) 664 (95.1) 114 (97.4) 159 (91.9)
Just DNA 15 (0.3) 8 (0.4) 5 (0.4) 0 (0.0) 1 (0.9) 1 (0.6)
Just serum 308 (7.0) 135 (6.4) 124 (9.5) 34 (4.9) 2 (1.7) 13 (7.5)
Taken X years after symptom onset (median [IQR]) 9.66 [4.49, 17.96] 9.24 [4.40, 17.78] 12.25 [6.31, 20.85] 9.14 [4.54, 16.62] 1.72 [0.54, 3.77] 5.49 [2.89, 11.46]
Taken X years after inclusion (median [IQR]) 1.49 [0.05, 5.29] 1.98 [0.13, 6.92] 1.51 [0.02, 4.97] 1.01 [0.00, 3.96] 0.49 [0.07, 1.42] 0.45 [0.00, 2.28]
Per patient
N patients with samples 3867 1863 1095 643 114 152
Coverage of entire cohort 18% 17% 19% 20% 23% 16%
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)
Active* patients
N active* patient with samples 1010 431 312 181 44 42
Coverage of active* cohort 28% 32% 28% 22% 25% 22%

RePreg

The collaboration between the SCQM and the Reproduction and Pregnancy in inflammatory rheumatic diseases cohort has led to records of 308 pregnancies from 242 patients. Among these, 265 pregnancies have both concluded and been tracked throughout. Tracking has then continued for 266 of the resulting children. 59 pregnancies have finished the post-natal questionnaires. Table 10 presents the current status of the ongoing collection efforts.

Table 10: Snapshot of RePreg data collection at the conclusion of 2024.
*patients who indicated plans to conceive within the coming months.
RA axSpA PsA GCA/PMR UA Total
Ongoing
Preparing* for pregnancy 62 61 17 0 11 151
Pregnant 10 15 7 0 2 34
Other
Willing to participate in future 67 87 32 0 29 215
Cumulative number of past pregnancies 90 125 53 0 40 308
Number of pregnancies with finished data collection 21 20 6 0 12 59

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: f8f4706d5b24761aba1e4f3c5867dc63f80bf223
Git Commit Date: Fri May 24 14:11:51 2024
Git Author: Andrea Goetschi

R Version: R version 4.4.2 (2024-10-31)
R Base Packages: stats / graphics / grDevices / utils / datasets / methods / base
R Other Packages: ggrepel, 0.9.6 / tidyr, 1.3.1 / lubridate, 1.9.3 / stringr, 1.5.1 / shiny, 1.9.1 / sf, 1.0-18 / dtplyr, 1.3.1 / scqm.dev, 6.0 / ggplot2, 3.5.1 / dplyr, 1.1.4

Generation Date: Fri May 30 16:03:34 2025-Europe/Zurich
Generation Platform: aarch64-apple-darwin20

Data Collection Schemes

Subject Link
RA Link
axSpA Link
PsA Link
GCA Link
PMR Link
Additonal score overview Link

Matching Data for Figures

Visits {#tbl-anonymous-6207314-1}
mon hospital_type diagnosis n
Jan hospital RA 36
Jan hospital axSpA 34
Jan hospital PsA 18
Jan hospital GCA/PMR 9
Jan private practice RA 110
Jan private practice axSpA 83
Jan private practice PsA 82
Jan private practice GCA/PMR 8
Jan university hospital RA 60
Jan university hospital axSpA 53
Jan university hospital PsA 44
Jan university hospital GCA/PMR 8
Feb hospital RA 29
Feb hospital axSpA 34
Feb hospital PsA 16
Feb hospital GCA/PMR 6
Feb private practice RA 86
Feb private practice axSpA 83
Feb private practice PsA 63
Feb private practice GCA/PMR 6
Feb university hospital RA 70
Feb university hospital axSpA 49
Feb university hospital PsA 31
Feb university hospital GCA/PMR 13
Mar hospital RA 31
Mar hospital axSpA 32
Mar hospital PsA 26
Mar hospital GCA/PMR 6
Mar private practice RA 124
Mar private practice axSpA 100
Mar private practice PsA 62
Mar private practice GCA/PMR 10
Mar university hospital RA 73
Mar university hospital axSpA 40
Mar university hospital PsA 33
Mar university hospital GCA/PMR 8
Apr hospital RA 47
Apr hospital axSpA 36
Apr hospital PsA 20
Apr hospital GCA/PMR 7
Apr private practice RA 91
Apr private practice axSpA 81
Apr private practice PsA 76
Apr private practice GCA/PMR 3
Apr university hospital RA 59
Apr university hospital axSpA 43
Apr university hospital PsA 53
Apr university hospital GCA/PMR 14
May hospital RA 39
May hospital axSpA 30
May hospital PsA 22
May hospital GCA/PMR 8
May private practice RA 114
May private practice axSpA 102
May private practice PsA 62
May private practice GCA/PMR 3
May university hospital RA 76
May university hospital axSpA 36
May university hospital PsA 35
May university hospital GCA/PMR 13
Jun hospital RA 43
Jun hospital axSpA 30
Jun hospital PsA 9
Jun hospital GCA/PMR 14
Jun private practice RA 113
Jun private practice axSpA 81
Jun private practice PsA 92
Jun private practice GCA/PMR 11
Jun university hospital RA 77
Jun university hospital axSpA 34
Jun university hospital PsA 30
Jun university hospital GCA/PMR 11
Jul hospital RA 29
Jul hospital axSpA 31
Jul hospital PsA 16
Jul hospital GCA/PMR 7
Jul private practice RA 73
Jul private practice axSpA 61
Jul private practice PsA 58
Jul private practice GCA/PMR 3
Jul university hospital RA 47
Jul university hospital axSpA 29
Jul university hospital PsA 35
Jul university hospital GCA/PMR 8
Aug hospital RA 16
Aug hospital axSpA 19
Aug hospital PsA 9
Aug hospital GCA/PMR 10
Aug private practice RA 77
Aug private practice axSpA 82
Aug private practice PsA 68
Aug private practice GCA/PMR 5
Aug university hospital RA 53
Aug university hospital axSpA 34
Aug university hospital PsA 28
Aug university hospital GCA/PMR 12
Sep hospital RA 22
Sep hospital axSpA 47
Sep hospital PsA 11
Sep hospital GCA/PMR 5
Sep private practice RA 101
Sep private practice axSpA 87
Sep private practice PsA 62
Sep private practice GCA/PMR 4
Sep university hospital RA 51
Sep university hospital axSpA 39
Sep university hospital PsA 27
Sep university hospital GCA/PMR 4
Oct hospital RA 25
Oct hospital axSpA 22
Oct hospital PsA 12
Oct hospital GCA/PMR 5
Oct private practice RA 75
Oct private practice axSpA 74
Oct private practice PsA 61
Oct private practice GCA/PMR 3
Oct university hospital RA 60
Oct university hospital axSpA 54
Oct university hospital PsA 40
Oct university hospital GCA/PMR 10
Nov hospital RA 16
Nov hospital axSpA 27
Nov hospital PsA 12
Nov hospital GCA/PMR 13
Nov private practice RA 104
Nov private practice axSpA 106
Nov private practice PsA 56
Nov private practice GCA/PMR 7
Nov university hospital RA 71
Nov university hospital axSpA 44
Nov university hospital PsA 43
Nov university hospital GCA/PMR 17
Dec hospital RA 17
Dec hospital axSpA 28
Dec hospital PsA 6
Dec hospital GCA/PMR 6
Dec private practice RA 70
Dec private practice axSpA 73
Dec private practice PsA 50
Dec private practice GCA/PMR 4
Dec university hospital RA 67
Dec university hospital axSpA 36
Dec university hospital PsA 40
Dec university hospital GCA/PMR 12
Inclusions {#tbl-anonymous-6207314-2}
mon hospital_type diagnosis n
Jan hospital RA 3
Jan hospital axSpA 8
Jan hospital PsA 3
Jan hospital GCA/PMR 3
Jan private practice RA 5
Jan private practice axSpA 6
Jan private practice PsA 3
Jan private practice GCA/PMR 1
Jan university hospital RA 9
Jan university hospital axSpA 2
Jan university hospital PsA 3
Feb hospital RA 4
Feb hospital axSpA 3
Feb hospital PsA 3
Feb hospital GCA/PMR 1
Feb private practice RA 2
Feb private practice axSpA 5
Feb private practice PsA 4
Feb private practice GCA/PMR 1
Feb university hospital RA 9
Feb university hospital axSpA 4
Feb university hospital PsA 4
Feb university hospital GCA/PMR 2
Mar hospital RA 3
Mar hospital axSpA 1
Mar hospital PsA 3
Mar hospital GCA/PMR 2
Mar private practice RA 4
Mar private practice axSpA 5
Mar private practice PsA 6
Mar private practice GCA/PMR 3
Mar university hospital RA 7
Mar university hospital axSpA 8
Mar university hospital PsA 6
Mar university hospital GCA/PMR 1
Apr hospital RA 2
Apr hospital axSpA 5
Apr hospital PsA 1
Apr hospital GCA/PMR 2
Apr private practice RA 3
Apr private practice axSpA 4
Apr private practice PsA 8
Apr university hospital RA 6
Apr university hospital axSpA 4
Apr university hospital PsA 9
Apr university hospital GCA/PMR 2
May hospital RA 3
May hospital axSpA 3
May hospital PsA 1
May private practice RA 6
May private practice axSpA 3
May private practice PsA 5
May university hospital RA 4
May university hospital axSpA 3
May university hospital PsA 6
May university hospital GCA/PMR 4
Jun hospital RA 3
Jun hospital axSpA 5
Jun hospital GCA/PMR 4
Jun private practice RA 4
Jun private practice axSpA 5
Jun private practice PsA 6
Jun private practice GCA/PMR 1
Jun university hospital RA 9
Jun university hospital axSpA 4
Jun university hospital PsA 4
Jun university hospital GCA/PMR 3
Jul hospital RA 3
Jul hospital axSpA 4
Jul hospital PsA 1
Jul hospital GCA/PMR 1
Jul private practice RA 4
Jul private practice axSpA 2
Jul private practice PsA 6
Jul private practice GCA/PMR 2
Jul university hospital RA 4
Jul university hospital axSpA 5
Jul university hospital PsA 5
Aug hospital RA 3
Aug hospital axSpA 1
Aug hospital GCA/PMR 1
Aug private practice RA 3
Aug private practice axSpA 7
Aug private practice PsA 7
Aug private practice GCA/PMR 3
Aug university hospital RA 7
Aug university hospital axSpA 1
Aug university hospital PsA 9
Aug university hospital GCA/PMR 3
Sep hospital RA 2
Sep hospital axSpA 4
Sep hospital PsA 2
Sep private practice RA 3
Sep private practice axSpA 6
Sep private practice PsA 5
Sep university hospital RA 4
Sep university hospital axSpA 4
Sep university hospital PsA 2
Sep university hospital GCA/PMR 1
Oct hospital RA 5
Oct hospital axSpA 3
Oct hospital PsA 2
Oct private practice RA 1
Oct private practice axSpA 11
Oct private practice PsA 8
Oct private practice GCA/PMR 1
Oct university hospital RA 3
Oct university hospital axSpA 5
Oct university hospital PsA 3
Oct university hospital GCA/PMR 2
Nov hospital RA 3
Nov hospital axSpA 6
Nov hospital PsA 3
Nov private practice RA 10
Nov private practice axSpA 9
Nov private practice PsA 2
Nov private practice GCA/PMR 1
Nov university hospital RA 14
Nov university hospital axSpA 3
Nov university hospital PsA 4
Nov university hospital GCA/PMR 2
Dec hospital RA 1
Dec hospital axSpA 3
Dec hospital PsA 1
Dec private practice RA 3
Dec private practice axSpA 7
Dec private practice PsA 2
Dec private practice GCA/PMR 1
Dec university hospital RA 9
Dec university hospital axSpA 3
Dec university hospital PsA 9
Dec university hospital GCA/PMR 3
mySCQM {#tbl-anonymous-6207314-3}
mon diagnosis n
Jan RA 578
Jan axSpA 612
Jan PsA 378
Jan GCA/PMR 32
Feb RA 550
Feb axSpA 558
Feb PsA 344
Feb GCA/PMR 29
Mar RA 553
Mar axSpA 558
Mar PsA 382
Mar GCA/PMR 30
Apr RA 584
Apr axSpA 592
Apr PsA 379
Apr GCA/PMR 28
May RA 583
May axSpA 607
May PsA 375
May GCA/PMR 30
Jun RA 558
Jun axSpA 584
Jun PsA 371
Jun GCA/PMR 27
Jul RA 546
Jul axSpA 584
Jul PsA 399
Jul GCA/PMR 28
Aug RA 568
Aug axSpA 569
Aug PsA 372
Aug GCA/PMR 31
Sep RA 526
Sep axSpA 563
Sep PsA 365
Sep GCA/PMR 29
Oct RA 561
Oct axSpA 598
Oct PsA 389
Oct GCA/PMR 31
Nov RA 542
Nov axSpA 559
Nov PsA 363
Nov GCA/PMR 31
Dec RA 513
Dec axSpA 606
Dec PsA 386
Dec GCA/PMR 36

Data for Figure 1

Visits {#tbl-anonymous-7947759-1}
canton private practice hospital university hospital
TI 161 0 0
GR 3 0 0
TG 3 1 0
ZH 365 167 640
AG 231 212 0
BS 612 4 154
BL 462 34 0
SG 98 284 0
SO 265 0 0
GE 0 0 199
VD 92 26 384
NE 0 205 0
BE 363 6 447
LU 351 46 0
SZ 4 7 0
FR 0 1 0
Inclusions {#tbl-anonymous-7947759-2}
canton private practice hospital university hospital
TI 5 0 0
GR 1 0 0
TG 3 1 0
ZH 43 11 116
AG 2 27 0
BS 45 0 33
BL 27 4 0
SG 3 31 0
SO 23 0 0
GE 0 0 20
VD 8 12 21
NE 0 28 0
BE 11 1 28
LU 22 0 0
SZ 1 0 0
Doctors {#tbl-anonymous-7947759-3}
canton private practice hospital university hospital
TI 4 0 0
GR 1 0 0
TG 1 1 0
ZH 21 18 34
AG 3 15 0
BS 11 1 20
BL 8 4 0
SG 4 15 0
SO 3 0 0
GE 0 0 9
VD 3 1 3
NE 0 8 0
BE 14 3 27
LU 6 6 0
SZ 1 0 0
FR 0 1 0
Institutions {#tbl-anonymous-7947759-4}
canton private practice hospital university hospital
TI 4 0 0
GR 1 0 0
TG 1 1 0
ZH 20 4 1
AG 3 4 0
BS 8 1 1
BL 5 1 0
SG 4 2 0
SO 3 0 0
GE 0 0 1
VD 3 1 1
NE 0 1 0
BE 9 2 1
LU 5 1 0
SZ 1 1 0
FR 0 1 0

Data for Figure 2

Data for Figure 3
canton RA axSpA PsA GCA/PMR
VS 257 98 48 3
TI 315 118 154 6
GR 100 38 23 0
SH 95 29 20 0
TG 280 42 20 1
ZH 2105 1435 613 54
AG 849 376 240 15
BS 737 544 327 226
BL 451 271 154 5
SG 694 316 185 50
SO 473 225 325 1
JU 71 10 9 0
GE 660 243 140 38
VD 983 540 192 11
NE 188 157 62 6
BE 1499 738 495 86
LU 564 319 179 1
ZG 68 30 16 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 48 23 0
AR 42 5 5 0
mySCQM {#tbl-anonymous-9380605-1}
canton yes no
TI 33 126
GR 1 2
TG 0 4
ZH 422 446
AG 95 210
BS 219 425
BL 110 201
SG 77 276
SO 20 201
GE 72 88
VD 92 221
NE 44 104
BE 184 597
LU 138 224
SZ 2 8
FR 1 0
Diagnosis {#tbl-anonymous-9380605-2}
canton RA axSpA PsA GCA/PMR
TI 69 34 51 5
GR 0 1 2 0
TG 2 2 0 0
ZH 280 354 204 30
AG 142 89 62 12
BS 209 223 140 72
BL 139 106 62 4
SG 156 94 73 30
SO 52 28 140 1
GE 79 46 30 5
VD 138 113 55 7
NE 44 70 28 6
BE 321 227 178 55
LU 161 119 81 1
SZ 5 5 0 0
FR 1 0 0 0
FU {#tbl-anonymous-9380605-3}
canton new short mid long
TI 5 42 30 82
GR 1 0 2 0
TG 4 0 0 0
ZH 170 268 166 264
AG 29 78 96 102
BS 78 266 145 155
BL 31 117 87 76
SG 34 131 69 119
SO 23 105 44 49
GE 20 45 42 53
VD 41 152 59 61
NE 28 71 38 11
BE 40 277 214 250
LU 22 142 92 106
SZ 1 2 1 6
FR 0 1 0 0
Recent Activity {#tbl-anonymous-9380605-4}
canton switch stationary
TI 6 153
GR 0 3
TG 0 4
ZH 144 724
AG 95 210
BS 96 548
BL 67 244
SG 20 333
SO 10 211
GE 9 151
VD 58 255
NE 6 142
BE 85 696
LU 72 290
SZ 5 5
FR 0 1

Data for Figure 4

Gender for Visits {#tbl-anonymous-4082705-1}
gender diagnosis n
Female RA 975
Female axSpA 514
Female PsA 410
Female GCA/PMR 109
Male RA 366
Male axSpA 601
Male PsA 397
Male GCA/PMR 64
Gender for mySCQM {#tbl-anonymous-4082705-2}
gender diagnosis n
female RA 682
female axSpA 525
female PsA 294
female GCA/PMR 24
male RA 230
male axSpA 489
male PsA 290
male GCA/PMR 11
Age for Visits {#tbl-anonymous-4082705-3}
generation diagnosis n
1996 or younger RA 15
1996 or younger axSpA 58
1996 or younger PsA 10
1996 or younger GCA/PMR 1
1980-1995(Millenial) RA 149
1980-1995(Millenial) axSpA 363
1980-1995(Millenial) PsA 137
1980-1995(Millenial) GCA/PMR 1
1964-1979(X) RA 370
1964-1979(X) axSpA 463
1964-1979(X) PsA 339
1964-1979(X) GCA/PMR 10
1945-1963(Boomer) RA 685
1945-1963(Boomer) axSpA 225
1945-1963(Boomer) PsA 302
1945-1963(Boomer) GCA/PMR 124
1944 or older RA 122
1944 or older axSpA 6
1944 or older PsA 19
1944 or older GCA/PMR 39
Age for mySCQM {#tbl-anonymous-4082705-4}
generation diagnosis n
1996 or younger RA 9
1996 or younger axSpA 32
1996 or younger PsA 7
1996 or younger GCA/PMR 1
1980-1995(Millenial) RA 133
1980-1995(Millenial) axSpA 334
1980-1995(Millenial) PsA 108
1980-1995(Millenial) GCA/PMR 1
1964-1979(X) RA 322
1964-1979(X) axSpA 432
1964-1979(X) PsA 261
1964-1979(X) GCA/PMR 6
1945-1963(Boomer) RA 422
1945-1963(Boomer) axSpA 213
1945-1963(Boomer) PsA 197
1945-1963(Boomer) GCA/PMR 26
1944 or older RA 26
1944 or older axSpA 3
1944 or older PsA 11
1944 or older GCA/PMR 3
Education for Visits {#tbl-anonymous-4082705-5}
education diagnosis n
Skipped question RA 125
Skipped question axSpA 173
Skipped question PsA 107
Mandatory RA 113
Mandatory axSpA 67
Mandatory PsA 56
Vocational RA 441
Vocational axSpA 328
Vocational PsA 270
Higher RA 238
Higher axSpA 286
Higher PsA 170
Education for mySCQM {#tbl-anonymous-4082705-6}
education diagnosis n
Skipped question RA 53
Skipped question axSpA 105
Skipped question PsA 45
Mandatory RA 35
Mandatory axSpA 24
Mandatory PsA 20
Vocational RA 203
Vocational axSpA 204
Vocational PsA 140
Higher RA 151
Higher axSpA 200
Higher PsA 102
Work Status for Visits {#tbl-anonymous-4082705-7}
work diagnosis n
No answer RA 11
No answer axSpA 15
No answer PsA 12
Pension RA 497
Pension axSpA 199
Pension PsA 206
Productive RA 409
Productive axSpA 640
Productive PsA 385
Work Status for mySCQM {#tbl-anonymous-4082705-8}
work diagnosis n
No answer RA 3
No answer axSpA 10
No answer PsA 2
Pension RA 194
Pension axSpA 115
Pension PsA 99
Productive RA 245
Productive axSpA 408
Productive PsA 206

Data for Figure 5

Table 11: Data for Figure 6
diagnosis patient_score population n percentage
RA 0 New inclusion 30 0.2100
RA 1 New inclusion 24 0.1700
RA 2 New inclusion 22 0.1500
RA 3 New inclusion 14 0.0980
RA 4 New inclusion 10 0.0700
RA 5 New inclusion 14 0.0980
RA 6 New inclusion 10 0.0700
RA 7 New inclusion 2 0.0140
RA 8 New inclusion 14 0.0980
RA 9 New inclusion 1 0.0070
RA 10 New inclusion 2 0.0140
RA 0 Patient at FU 380 0.2700
RA 1 Patient at FU 289 0.2100
RA 2 Patient at FU 266 0.1900
RA 3 Patient at FU 147 0.1000
RA 4 Patient at FU 102 0.0730
RA 5 Patient at FU 95 0.0680
RA 6 Patient at FU 53 0.0380
RA 7 Patient at FU 36 0.0260
RA 8 Patient at FU 29 0.0210
RA 9 Patient at FU 5 0.0036
RA 10 Patient at FU 3 0.0021
axSpA 0 New inclusion 17 0.1200
axSpA 1 New inclusion 19 0.1400
axSpA 2 New inclusion 24 0.1700
axSpA 3 New inclusion 16 0.1200
axSpA 4 New inclusion 22 0.1600
axSpA 5 New inclusion 18 0.1300
axSpA 6 New inclusion 6 0.0430
axSpA 7 New inclusion 10 0.0720
axSpA 8 New inclusion 3 0.0220
axSpA 9 New inclusion 0 0.0000
axSpA 10 New inclusion 3 0.0220
axSpA 0 Patient at FU 255 0.2100
axSpA 1 Patient at FU 253 0.2000
axSpA 2 Patient at FU 202 0.1600
axSpA 3 Patient at FU 154 0.1200
axSpA 4 Patient at FU 120 0.0970
axSpA 5 Patient at FU 104 0.0840
axSpA 6 Patient at FU 73 0.0590
axSpA 7 Patient at FU 46 0.0370
axSpA 8 Patient at FU 24 0.0190
axSpA 9 Patient at FU 6 0.0048
axSpA 10 Patient at FU 2 0.0016
PsA 0 New inclusion 16 0.1200
PsA 1 New inclusion 16 0.1200
PsA 2 New inclusion 22 0.1700
PsA 3 New inclusion 21 0.1600
PsA 4 New inclusion 10 0.0780
PsA 5 New inclusion 18 0.1400
PsA 6 New inclusion 10 0.0780
PsA 7 New inclusion 6 0.0470
PsA 8 New inclusion 6 0.0470
PsA 9 New inclusion 2 0.0160
PsA 10 New inclusion 1 0.0078
PsA 0 Patient at FU 177 0.2000
PsA 1 Patient at FU 187 0.2100
PsA 2 Patient at FU 150 0.1700
PsA 3 Patient at FU 130 0.1500
PsA 4 Patient at FU 82 0.0940
PsA 5 Patient at FU 66 0.0750
PsA 6 Patient at FU 41 0.0470
PsA 7 Patient at FU 27 0.0310
PsA 8 Patient at FU 13 0.0150
PsA 9 Patient at FU 4 0.0046
PsA 10 Patient at FU 0 0.0000
GCA/PMR 0 New inclusion 20 0.4900
GCA/PMR 1 New inclusion 3 0.0730
GCA/PMR 2 New inclusion 5 0.1200
GCA/PMR 3 New inclusion 2 0.0490
GCA/PMR 4 New inclusion 2 0.0490
GCA/PMR 5 New inclusion 4 0.0980
GCA/PMR 6 New inclusion 3 0.0730
GCA/PMR 7 New inclusion 0 0.0000
GCA/PMR 8 New inclusion 2 0.0490
GCA/PMR 9 New inclusion 0 0.0000
GCA/PMR 10 New inclusion 0 0.0000
GCA/PMR 0 Patient at FU 105 0.7300
GCA/PMR 1 Patient at FU 13 0.0900
GCA/PMR 2 Patient at FU 9 0.0620
GCA/PMR 3 Patient at FU 6 0.0420
GCA/PMR 4 Patient at FU 5 0.0350
GCA/PMR 5 Patient at FU 3 0.0210
GCA/PMR 6 Patient at FU 1 0.0069
GCA/PMR 7 Patient at FU 1 0.0069
GCA/PMR 8 Patient at FU 1 0.0069
GCA/PMR 9 Patient at FU 0 0.0000
GCA/PMR 10 Patient at FU 0 0.0000
Visits {#tbl-anonymous-1972413-1}
diagnosis group n
RA Used mySCQM in 2024 383
RA Former user 104
RA Never used mySCQM 854
axSpA Used mySCQM in 2024 420
axSpA Former user 141
axSpA Never used mySCQM 554
PsA Used mySCQM in 2024 249
PsA Former user 68
PsA Never used mySCQM 490
GCA/PMR Used mySCQM in 2024 22
GCA/PMR Former user 3
GCA/PMR Never used mySCQM 148
mySCQM {#tbl-anonymous-1972413-2}
diagnosis group n
RA 2024 524
RA 2023 127
RA 2 to 4 years ago 121
RA More than 4 years ago 140
axSpA 2024 596
axSpA 2023 163
axSpA 2 to 4 years ago 127
axSpA More than 4 years ago 128
PsA 2024 363
PsA 2023 85
PsA 2 to 4 years ago 61
PsA More than 4 years ago 75
GCA/PMR 2024 27
GCA/PMR 2023 5
GCA/PMR 2 to 4 years ago 3
GCA/PMR More than 4 years ago 1

Data for Figure 7

Data for Figure 8
diagnosis group n
RA Less than a year 105
RA 1 to 3 years 22
RA 3 to 10 years 12
RA More than 10 years 29
axSpA Less than a year 40
axSpA 1 to 3 years 33
axSpA 3 to 10 years 44
axSpA More than 10 years 45
PsA Less than a year 58
PsA 1 to 3 years 24
PsA 3 to 10 years 22
PsA More than 10 years 42
GCA/PMR Less than a year 40
GCA/PMR 1 to 3 years 3
GCA/PMR 3 to 10 years 1
GCA/PMR More than 10 years 7
Data for Figure 9
time n
Q1 2014 263
Q2 2014 279
Q3 2014 297
Q4 2014 313
Q1 2015 333
Q2 2015 351
Q3 2015 368
Q4 2015 394
Q1 2016 413
Q2 2016 435
Q3 2016 449
Q4 2016 467
Q1 2017 494
Q2 2017 511
Q3 2017 529
Q4 2017 545
Q1 2018 565
Q2 2018 576
Q3 2018 588
Q4 2018 601
Q1 2019 624
Q2 2019 643
Q3 2019 660
Q4 2019 678
Q1 2020 690
Q2 2020 708
Q3 2020 724
Q4 2020 756
Q1 2021 782
Q2 2021 796
Q3 2021 805
Q4 2021 819
Q1 2022 827
Q2 2022 832
Q3 2022 840
Q4 2022 849
Q1 2023 860
Q2 2023 866
Q3 2023 875
Q4 2023 884
Q1 2024 903
Q2 2024 916
Q3 2024 931
Q4 2024 947