Data Addendum 2023

Published

April 9, 2024

Visits

New patients

Patient self-observation

Figure 1: Main data collection within the SCQM in 2023

1 Introduction

This report provides an overview on the data and information collected in the past year (2023) 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 2024-04-01.

Where not otherwise specified we report data or information on the SCQM patient populations at the end of 2023. 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 2023 the main SCQM research cohorts encompass 19561 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 2023.
Variable Level Overall RA axSpA PsA GCA/PMR
N of patients 19561 10585 5460 3100 416
Collection start 1997 2005 2006 2020
Year of inclusion (median [IQR]) 2011 [2006, 2016] 2009 [2003, 2014] 2013 [2009, 2017] 2014 [2010, 2018] 2022 [2021, 2022]
Clinical FU status (%) Visit in 2023 3764 (19.2) 1523 (14.4) 1247 (22.8) 815 (26.3) 179 (43.0)
Visit in 2022 1206 (6.2) 515 (4.9) 337 (6.2) 247 (8.0) 107 (25.7)
Officially discontinued 7379 (37.7) 4892 (46.2) 1681 (30.8) 798 (25.7) 8 (1.9)
Inactive for at least 2 years 7212 (36.9) 3655 (34.5) 2195 (40.2) 1240 (40.0) 122 (29.3)
Year of last visit (median [IQR]) 2018 [2012, 2023] 2016 [2009, 2021] 2019 [2014, 2023] 2021 [2016, 2023] 2023 [2022, 2023]
Years of clinical FU (median [IQR]) 3.72 [1.03, 8.21] 4.22 [1.21, 8.91] 3.26 [0.94, 7.59] 3.53 [1.03, 7.68] 0.66 [0.00, 1.83]
Visits per patient (mean (SD)) 6.36 (5.95) 7.10 (6.66) 5.46 (4.79) 5.83 (5.03) 3.41 (3.43)
mySCQM entries per patient (mean (SD)) 4.92 (14.37) 3.50 (12.09) 6.83 (16.71) 6.88 (17.00) 1.18 (5.43)
Institution of inclusion visit (%) hospital 4254 (21.7) 2374 (22.4) 1269 (23.2) 558 (18.0) 53 (12.7)
private practice 10878 (55.6) 6019 (56.9) 2940 (53.8) 1864 (60.1) 55 (13.2)
university hospital 4429 (22.6) 2192 (20.7) 1251 (22.9) 678 (21.9) 308 (74.0)
Switched institution (%) All visits at inclusion site 17353 (88.7) 9353 (88.4) 4795 (87.8) 2793 (90.1) 412 (99.0)
Visits in multiple institutions 2208 (11.3) 1232 (11.6) 665 (12.2) 307 (9.9) 4 (1.0)

2 Core Data

Key Numbers

In 2023 the SCQM recorded 5884 visits from 4736 patients. Among these 622 patients were new inclusions. Furthermore, 18104 mySCQM entries were made by 2543 patients. Among these 272 were new mySCQM users. Visits were recorded by 276 doctors spread across 98 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 2023.
Variable Level Overall RA axSpA PsA GCA/PMR
N of visits 5884 2349 1891 1353 291
Visit-related patient questionnaire (%) Included 3342 (56.8) 1271 (54.1) 1164 (61.6) 821 (60.7) 86 (29.6)
Not included 2542 (43.2) 1078 (45.9) 727 (38.4) 532 (39.3) 205 (70.4)
Visit number within patient (%) Inclusion 622 (10.6) 158 (6.7) 216 (11.4) 149 (11.0) 99 (34.0)
2nd visit 561 (9.5) 171 (7.3) 174 (9.2) 143 (10.6) 73 (25.1)
3rd, 4th or 5th 1308 (22.2) 455 (19.4) 422 (22.3) 345 (25.5) 86 (29.6)
6th, 7th or 8th 970 (16.5) 408 (17.4) 327 (17.3) 220 (16.3) 15 (5.2)
9th visit or higher 2423 (41.2) 1157 (49.3) 752 (39.8) 496 (36.7) 18 (6.2)
Years since symptom onset (median [IQR]) 13.34 [7.01, 21.61] 13.33 [7.35, 21.03] 15.31 [8.79, 24.27] 13.02 [7.02, 21.03] 1.77 [0.51, 3.56]
Years since diagnosis (median [IQR]) 9.99 [4.61, 16.45] 11.59 [6.11, 18.51] 9.91 [4.72, 15.88] 9.43 [4.16, 15.85] 1.24 [0.34, 2.95]
Type of institution (%) hospital 930 (15.8) 365 (15.5) 342 (18.1) 184 (13.6) 39 (13.4)
private practice 3309 (56.2) 1330 (56.6) 1076 (56.9) 841 (62.2) 62 (21.3)
university hospital 1645 (28.0) 654 (27.8) 473 (25.0) 328 (24.2) 190 (65.3)
Per patient
N patients with visits 4736 1901 1559 1061 215
N of visits per patient (mean (SD)) 1.24 (0.67) 1.24 (0.68) 1.21 (0.61) 1.28 (0.71) 1.35 (0.84)
Year of inclusion (median [IQR]) 2017 [2012, 2021] 2015 [2011, 2020] 2017 [2012, 2021] 2018 [2013, 2022] 2022 [2021, 2023]
Table 3: Characterisation of the population of newly participating patients throughout 2023.
*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 622 158 216 149 99
Age* at inclusion (median [IQR]) 54 [41, 65] 59 [48, 66] 42 [33, 51] 55 [44, 62] 74 [66.50, 79.50]
Years since symptom onset (median [IQR]) 6.06 [1.65, 13.43] 4.41 [1.82, 9.69] 9.81 [3.51, 16.55] 8.70 [4.42, 15.16] 0.37 [0.12, 1.69]
Years since diagnosis (median [IQR]) 2.03 [0.47, 6.80] 2.92 [1.08, 6.80] 2.61 [0.62, 8.42] 3.35 [1.05, 9.30] 0.16 [0.02, 1.04]
Type of institution (%) hospital 116 (18.6) 26 (16.5) 43 (19.9) 23 (15.4) 24 (24.2)
private practice 284 (45.7) 82 (51.9) 105 (48.6) 84 (56.4) 13 (13.1)
university hospital 222 (35.7) 50 (31.6) 68 (31.5) 42 (28.2) 62 (62.6)
Table 4: Characterisation of the population that contributed to SCQM via mySCQM self-observations throughout 2023.
*refers to patients that used the app in 2023, but not in 2022.
**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 18104 6756 6774 4271 303
Entry number within patient (%) 1st entry 272 (1.5) 69 (1.0) 130 (1.9) 56 (1.3) 17 (5.6)
2nd to 10th 2046 (11.3) 547 (8.1) 934 (13.8) 457 (10.7) 108 (35.6)
11th to 40th 9904 (54.7) 4005 (59.3) 3368 (49.7) 2391 (56.0) 140 (46.2)
41th to 100th 5598 (30.9) 2090 (30.9) 2174 (32.1) 1296 (30.3) 38 (12.5)
101th entry or higher 284 (1.6) 45 (0.7) 168 (2.5) 71 (1.7) 0 (0.0)
Per patient
N patients with entries 2543 935 1012 564 32
N of entries per patient (mean (SD)) 7.12 (5.28) 7.23 (4.98) 6.69 (5.40) 7.57 (5.20) 9.47 (9.18)
User history (%) New user 272 (10.7) 69 (7.4) 130 (12.8) 56 (9.9) 17 (53.1)
Ongoing user 2173 (85.5) 826 (88.3) 837 (82.7) 495 (87.8) 15 (46.9)
Returning* user 98 (3.9) 40 (4.3) 45 (4.4) 13 (2.3) 0 (0.0)
Years of continued** usage (mean (SD)) 3.18 (1.98) 3.26 (1.88) 3.24 (2.12) 3.07 (1.83) 0.59 (0.71)
Year of last visit (median [IQR]) 2023 [2022, 2023] 2023 [2021, 2023] 2023 [2022, 2023] 2023 [2022, 2023] 2023 [2023, 2023]

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 2023 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.

(a) 2023, Cutoff: 100 visits
Rank Institution Type of institution Canton Change from 2022*
1 Inselspital Bern UH BE
2 Universitätsspital Zürich UH ZH
3 Centre hospitalier universitaire vaudois UH VD
4 Rheuma Basel PP BS +3
5 Hôpitaux universitaires de Genève UH GE -1
6 Praxis Dr. Manuel Klöti PP LU
7 Kantonsspital St. Gallen H SG +1
8 Praxis Mathieu, Solothurn PP SO +1
9 Rheumazentrum Laufen, Laufen PP BL +3
10 Praxis Zajec, Wettingen PP AG
11 Ultraschall Zentrum Rheumatologie, Basel PP BS +4
12 Hôpital La Chaux-de-Fonds H NE +2
13 Praxis Hüllstrung/Iseli PP BL -2
14 Universitätsspital Basel UH BS -9
15 OsteoRheumaBern PP BE -2
16 Rheumatologie im Zürcher Oberland, Uster PP ZH
17 Rheumapraxis Sursee, Sursee PP LU +3
18 rheuma-bern PP BE
19 Cabinet Rozier Aubry PP VD +26
20 Kantonsspital Baden, Standort Brugg H AG -1
21 Praxis Tölle, Basel PP BS +1
22 Kantonsspital Aarau H AG +44
(b) Top 20 across entire SCQM
Rank Institution Type of institution Canton Best year** Change from 2022*
1 Universitätsspital Zürich UH ZH 2018
2 Inselspital Bern UH BE 2018
3 Hôpitaux universitaires de Genève UH GE 2017
4 Centre hospitalier universitaire vaudois UH VD 2023
5 Rheuma Basel PP BS 2023
6 Kantonsspital St. Gallen H SG 2015
7 Bethesda-Spital, Basel H BS 2016
8 Kantonsspital Aarau H AG 2017
9 Praxis Dr. Manuel Klöti PP LU 2019 +1
10 Universitätsspital Basel UH BS 2021 +1
11 Praxis Martin, Liestal PP BL 2012 -2
12 OsteoRheumaBern PP BE 2017
13 Kantonsspital Luzern, Luzern 16 H LU 2012
14 Kantonsspital Winterthur, Winterthur H ZH 2014
15 Medizinisches Zentrum Brugg, Brugg PP AG 2016
16 Hôpital La Chaux-de-Fonds H NE 2017 +1
17 Berner Rheumazentrum, Bern PP BE 2018 -1
18 Bürgerspital Solothurn, Solothurn H SO 2013
19 Praxis Hüllstrung/Iseli PP BL 2021 +2
20 Klinik Impuls, Wetzikon PP ZH 2021 -1

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.

(a) 2023, Cutoff: 10 inclusions
Rank Institution Type of institution Canton Change from 2022*
1 Inselspital Bern UH BE
2 Universitätsspital Zürich UH ZH +1
3 Universitätsspital Basel UH BS -1
4 Cabinet Rozier Aubry PP VD +21
5 Praxis Mathieu, Solothurn PP SO +3
6 Hôpital La Chaux-de-Fonds H NE +1
7 Rheuma Basel PP BS +3
8 Hôpitaux universitaires de Genève UH GE -2
9 Centre hospitalier universitaire vaudois UH VD -4
10 Ultraschall Zentrum Rheumatologie, Basel PP BS -1
11 Praxis Dr. Manuel Klöti PP LU
12 Hirslanden Klinik Birshof, Münchenstein H BL +14
13 Praxis Tölle, Basel PP BS +14
14 Rheumapraxis Sursee, Sursee PP LU -2
15 Stadtspital Triemli, Zürich H ZH +28
16 Rheumazentrum Laufen, Laufen PP BL +7
17 Universitätsklinik Balgrist, Zürich H ZH +11
(b) Top 20 across entire SCQM
Rank Institution Type of Institution Canton Best year** Change from 2022*
1 Universitätsspital Zürich UH ZH 1996
2 Inselspital Bern UH BE 2014
3 Centre hospitalier universitaire vaudois UH VD 2011
4 Hôpitaux universitaires de Genève UH GE 2017
5 Kantonsspital St. Gallen H SG 2012
6 Universitätsspital Basel UH BS 2016
7 Rheuma Basel PP BS 2009
8 Kantonsspital Aarau H AG 2016
9 Praxis Dr. Manuel Klöti PP LU 2013 +2
10 Bethesda-Spital, Basel H BS 2011 -1
11 Universitätsklinik Balgrist, Zürich H ZH 2008 +1
12 OsteoRheumaBern PP BE 2016 -2
13 Kantonsspital Winterthur, Winterthur H ZH 2013
14 Hôpital La Chaux-de-Fonds H NE 2015 +1
15 Kantonsspital Luzern, Luzern 16 H LU 2011 -1
16 Berner Rheumazentrum, Bern PP BE 2018
17 Bürgerspital Solothurn, Solothurn H SO 2010
18 Klinik Impuls, Wetzikon PP ZH 2005
19 Praxis Mathieu, Solothurn PP SO 2023 +7
20 Praxis Martin, Liestal PP BL 2012 -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.

(a) 2023, Cutoff: 5 mySCQM activations
Rank Institution Type of institution Canton Change from 2022*
1 Universitätsspital Zürich UH ZH
2 Rheuma Basel PP BS +4
3 Centre hospitalier universitaire vaudois UH VD -1
4 Praxis Dr. Manuel Klöti PP LU +1
5 Inselspital Bern UH BE +2
6 Cabinet Rozier Aubry PP VD +33
7 Hôpitaux universitaires de Genève UH GE -4
8 Ultraschall Zentrum Rheumatologie, Basel PP BS +9
9 Hirslanden Klinik Birshof, Münchenstein H BL +7
10 Kantonsspital Baden, Standort Brugg H AG -1
11 Universitätsspital Basel UH BS +2
12 Praxis Tölle, Basel PP BS +7
13 Hôpital La Chaux-de-Fonds H NE -5
14 Rheumatologie im Zürcher Oberland, Uster PP ZH -4
15 Universitätsklinik Balgrist, Zürich H ZH +12
16 Kantonsspital Winterthur, Winterthur H ZH +5
17 Praxis Hüllstrung/Iseli PP BL -5
(b) Top 20 across entire SCQM
Rank Institution Type of Institution Canton Best year** Change from 2022*
1 Universitätsspital Zürich UH ZH 2020
2 Inselspital Bern UH BE 2020
3 Hôpitaux universitaires de Genève UH GE 2020
4 Rheuma Basel PP BS 2020
5 Praxis Dr. Manuel Klöti PP LU 2020
6 Centre hospitalier universitaire vaudois UH VD 2020 +1
7 Kantonsspital St. Gallen H SG 2020 -1
8 Praxis Hüllstrung/Iseli PP BL 2020
9 Rheumatologie im Zürcher Oberland, Uster PP ZH 2020 +1
10 OsteoRheumaBern PP BE 2020 -1
11 Klinik Impuls, Wetzikon PP ZH 2020
12 Hôpital La Chaux-de-Fonds H NE 2020
13 Universitätsspital Basel UH BS 2020
14 Praxis Tölle, Basel PP BS 2020
15 Universitätsklinik Balgrist, Zürich H ZH 2020
16 Praxis Martin, Liestal PP BL 2019
17 Studio Medico Badaracco Cattaneo, Lugano PP TI 2017
18 Kantonsspital Baden, Standort Brugg H AG 2020 +3
19 Praxis Widrig-Bernhardt, St. Gallen PP SG 2020 -1
20 Ultraschall Zentrum Rheumatologie, Basel PP BS 2020 +3

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 2023 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 2023. 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 2023. 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 2023. Patients who had visits in multiple cantons during 2023 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 2023. 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 2023. 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 2023. 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 2023.

Figure 8: Interval between symptom onset date and diagnosis date for the new inclusions throughout 2023. Patients missing either date are excluded from this figure.

5 Special Collection

Unclassified Arthritis

Up to and including 2023, the SCQM has recorded 4079 visits from 889 patients within the Unclassified Arthritis cohort. 35 new UA patients were included in 2023. Furthermore, 7246 mySCQM entries were made by 271 UA patients. The number of UA patients using mySCQM has grown by 11. 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 2023.

Xrays

Up to and including 2023, 45884 sets of Xrays from 12491 patients were shared with the SCQM for use in research. 587 image sets were added in 2023, of which 136 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 2023.
*active refers to patient with a visit in 2023.
Variable Level Overall RA axSpA PsA GCA/PMR UA
N of Xray sets 45884 33010 12122 427 12 313
Requested Hands and feet Pelvis, vertebra, spine RA + axSpA images none none
Score Ratingen mNYC none - -
Taken X years after symptom onset (median [IQR]) 10.04 [4.78, 17.88] 9.16 [4.40, 16.58] 12.66 [6.29, 21.50] 10.32 [5.02, 18.49] - 7.13 [3.23, 13.29]
Taken X years after inclusion (median [IQR]) 2.16 [0.00, 5.32] 2.38 [0.02, 5.81] 1.97 [0.00, 4.39] 1.86 [0.00, 4.27] - 2.01 [0.02, 4.34]
Per patient
N patients with sets 12480 8751 3472 163 - 92
Coverage of entire cohort 61% 83% 64% 5.3% - 10%
Sets per patient (mean (SD)) 3.67 (3.43) 3.77 (3.21) 3.49 (3.95) 2.62 (2.60) - 3.40 (3.70)
Active* patients
N active* patient with sets 2133 1273 811 38 - 10
Coverage of active* cohort 54% 84% 65% 4.7% - 5%

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 4305 biosamples from 3792 patients. Contributions have been enabled by 116 different institutions, spread across 18 cantons. 225 new samples were added in 2023.

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 2023.
*active refers to patient with a visit in 2023.
Variable Level Overall RA axSpA PsA GCA/PMR UA
N of biosamples 4305 2076 1273 680 104 172
Includes (%) DNA and serum 3981 (92.5) 1932 (93.1) 1144 (89.9) 646 (95.0) 101 (97.1) 158 (91.9)
Just DNA 15 (0.3) 8 (0.4) 5 (0.4) 0 (0.0) 1 (1.0) 1 (0.6)
Just serum 309 (7.2) 136 (6.6) 124 (9.7) 34 (5.0) 2 (1.9) 13 (7.6)
Taken X years after symptom onset (median [IQR]) 9.68 [4.55, 17.93] 9.24 [4.40, 17.78] 12.22 [6.33, 20.77] 9.06 [4.43, 16.62] 1.67 [0.51, 3.42] 5.51 [2.89, 11.63]
Taken X years after inclusion (median [IQR]) 1.50 [0.05, 5.32] 1.98 [0.14, 6.89] 1.54 [0.02, 5.00] 1.00 [0.00, 3.95] 0.42 [0.03, 1.25] 0.46 [0.00, 2.28]
Per patient
N patients with samples 3791 1845 1069 625 101 151
Coverage of entire cohort 19% 17% 20% 20% 24% 17%
Samples per patient (mean (SD)) 1.14 (0.47) 1.13 (0.45) 1.19 (0.58) 1.09 (0.33) 1.03 (0.17) 1.14 (0.54)
Active* patients
N active* patient with samples 1122 487 334 197 62 42
Coverage of active* cohort 28% 32% 27% 24% 35% 21%

RePreg

The collaboration between the SCQM and the Reproduction and Pregnancy in inflammatory rheumatic diseases cohort has led to records of 286 pregnancies from 229 patients. Among these, 239 pregnancies have both concluded and been tracked throughout. Tracking has then continued for 242 of the resulting children. 44 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 2023.
*patients who indicated plans to conceive within the coming months.
RA axSpA PsA GCA/PMR UA Total
Ongoing
Preparing* for pregnancy 59 59 18 0 10 146
Pregnant 12 17 7 0 3 39
Other
Willing to participate in future 64 74 25 0 27 190
Cumulative number of past pregnancies 88 117 45 0 36 286
Number of pregnancies with finished data collection 16 14 5 0 9 44

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: 0d506e3a7f8db75085e167d6f814a5adfece8cba
Git Commit Date: Tue Apr 2 09:08:08 2024
Git Author: Christoph Blapp

R Version: R version 4.3.2 (2023-10-31)
R Base Packages: stats / graphics / grDevices / utils / datasets / methods / base
R Other Packages: ggrepel, 0.9.5 / tidyr, 1.3.1 / lubridate, 1.9.3 / stringr, 1.5.1 / shiny, 1.8.0 / sf, 1.0-15 / dtplyr, 1.3.1 / scqm.dev, 6.0 / ggplot2, 3.4.4 / svglite, 2.1.3 / dplyr, 1.1.4

Generation Date: Tue Apr 9 08:30:37 2024-Europe/Zurich
Generation Platform: x86_64-apple-darwin20 (64-bit)

Data Collection Schemes

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

Matching Data for Figures

Data for Figure 1

Visits
mon hospital_type diagnosis n
Jan hospital RA 29
Jan hospital axSpA 32
Jan hospital PsA 14
Jan hospital GCA/PMR 2
Jan private practice RA 133
Jan private practice axSpA 88
Jan private practice PsA 83
Jan private practice GCA/PMR 11
Jan university hospital RA 55
Jan university hospital axSpA 36
Jan university hospital PsA 31
Jan university hospital GCA/PMR 23
Feb hospital RA 34
Feb hospital axSpA 29
Feb hospital PsA 12
Feb hospital GCA/PMR 2
Feb private practice RA 96
Feb private practice axSpA 101
Feb private practice PsA 65
Feb private practice GCA/PMR 6
Feb university hospital RA 50
Feb university hospital axSpA 44
Feb university hospital PsA 31
Feb university hospital GCA/PMR 11
Mar hospital RA 34
Mar hospital axSpA 28
Mar hospital PsA 17
Mar hospital GCA/PMR 7
Mar private practice RA 147
Mar private practice axSpA 125
Mar private practice PsA 98
Mar private practice GCA/PMR 6
Mar university hospital RA 66
Mar university hospital axSpA 45
Mar university hospital PsA 42
Mar university hospital GCA/PMR 28
Apr hospital RA 26
Apr hospital axSpA 20
Apr hospital PsA 22
Apr hospital GCA/PMR 3
Apr private practice RA 98
Apr private practice axSpA 68
Apr private practice PsA 60
Apr private practice GCA/PMR 2
Apr university hospital RA 44
Apr university hospital axSpA 33
Apr university hospital PsA 27
Apr university hospital GCA/PMR 12
May hospital RA 36
May hospital axSpA 35
May hospital PsA 18
May hospital GCA/PMR 2
May private practice RA 118
May private practice axSpA 104
May private practice PsA 66
May private practice GCA/PMR 4
May university hospital RA 57
May university hospital axSpA 38
May university hospital PsA 25
May university hospital GCA/PMR 13
Jun hospital RA 42
Jun hospital axSpA 33
Jun hospital PsA 17
Jun hospital GCA/PMR 5
Jun private practice RA 136
Jun private practice axSpA 85
Jun private practice PsA 87
Jun private practice GCA/PMR 6
Jun university hospital RA 68
Jun university hospital axSpA 42
Jun university hospital PsA 19
Jun university hospital GCA/PMR 14
Jul hospital RA 30
Jul hospital axSpA 23
Jul hospital PsA 15
Jul hospital GCA/PMR 2
Jul private practice RA 75
Jul private practice axSpA 60
Jul private practice PsA 63
Jul private practice GCA/PMR 3
Jul university hospital RA 51
Jul university hospital axSpA 36
Jul university hospital PsA 23
Jul university hospital GCA/PMR 16
Aug hospital RA 31
Aug hospital axSpA 28
Aug hospital PsA 21
Aug hospital GCA/PMR 2
Aug private practice RA 127
Aug private practice axSpA 87
Aug private practice PsA 61
Aug private practice GCA/PMR 5
Aug university hospital RA 42
Aug university hospital axSpA 39
Aug university hospital PsA 23
Aug university hospital GCA/PMR 26
Sep hospital RA 33
Sep hospital axSpA 41
Sep hospital PsA 16
Sep hospital GCA/PMR 3
Sep private practice RA 121
Sep private practice axSpA 112
Sep private practice PsA 86
Sep private practice GCA/PMR 3
Sep university hospital RA 53
Sep university hospital axSpA 36
Sep university hospital PsA 22
Sep university hospital GCA/PMR 17
Oct hospital RA 24
Oct hospital axSpA 16
Oct hospital PsA 13
Oct hospital GCA/PMR 4
Oct private practice RA 81
Oct private practice axSpA 66
Oct private practice PsA 56
Oct private practice GCA/PMR 5
Oct university hospital RA 56
Oct university hospital axSpA 41
Oct university hospital PsA 19
Oct university hospital GCA/PMR 12
Nov hospital RA 25
Nov hospital axSpA 27
Nov hospital PsA 13
Nov hospital GCA/PMR 5
Nov private practice RA 108
Nov private practice axSpA 104
Nov private practice PsA 57
Nov private practice GCA/PMR 7
Nov university hospital RA 58
Nov university hospital axSpA 46
Nov university hospital PsA 39
Nov university hospital GCA/PMR 6
Dec hospital RA 21
Dec hospital axSpA 30
Dec hospital PsA 6
Dec hospital GCA/PMR 2
Dec private practice RA 90
Dec private practice axSpA 76
Dec private practice PsA 59
Dec private practice GCA/PMR 4
Dec university hospital RA 54
Dec university hospital axSpA 37
Dec university hospital PsA 27
Dec university hospital GCA/PMR 12
Inclusions
mon hospital_type diagnosis n
Jan hospital RA 2
Jan hospital axSpA 6
Jan hospital PsA 1
Jan hospital GCA/PMR 2
Jan private practice RA 8
Jan private practice axSpA 7
Jan private practice PsA 6
Jan private practice GCA/PMR 1
Jan university hospital RA 5
Jan university hospital axSpA 5
Jan university hospital PsA 2
Jan university hospital GCA/PMR 10
Feb hospital axSpA 1
Feb hospital GCA/PMR 2
Feb private practice RA 10
Feb private practice axSpA 13
Feb private practice PsA 10
Feb private practice GCA/PMR 2
Feb university hospital RA 4
Feb university hospital axSpA 10
Feb university hospital PsA 4
Feb university hospital GCA/PMR 7
Mar hospital RA 3
Mar hospital axSpA 6
Mar hospital PsA 2
Mar hospital GCA/PMR 7
Mar private practice RA 3
Mar private practice axSpA 16
Mar private practice PsA 9
Mar private practice GCA/PMR 2
Mar university hospital RA 4
Mar university hospital axSpA 6
Mar university hospital PsA 10
Mar university hospital GCA/PMR 11
Apr hospital RA 1
Apr hospital axSpA 1
Apr hospital PsA 3
Apr hospital GCA/PMR 2
Apr private practice RA 12
Apr private practice axSpA 7
Apr private practice PsA 6
Apr private practice GCA/PMR 1
Apr university hospital RA 3
Apr university hospital axSpA 4
Apr university hospital PsA 3
Apr university hospital GCA/PMR 6
May hospital RA 1
May hospital axSpA 3
May hospital PsA 3
May hospital GCA/PMR 1
May private practice RA 5
May private practice axSpA 15
May private practice PsA 7
May university hospital RA 1
May university hospital axSpA 9
May university hospital PsA 2
May university hospital GCA/PMR 5
Jun hospital RA 3
Jun hospital axSpA 4
Jun hospital PsA 2
Jun private practice RA 6
Jun private practice axSpA 5
Jun private practice PsA 11
Jun private practice GCA/PMR 3
Jun university hospital RA 3
Jun university hospital axSpA 5
Jun university hospital PsA 4
Jun university hospital GCA/PMR 2
Jul hospital axSpA 2
Jul hospital PsA 1
Jul hospital GCA/PMR 2
Jul private practice RA 4
Jul private practice axSpA 7
Jul private practice PsA 9
Jul university hospital RA 6
Jul university hospital axSpA 8
Jul university hospital PsA 4
Jul university hospital GCA/PMR 4
Aug hospital RA 2
Aug hospital axSpA 1
Aug hospital PsA 2
Aug private practice RA 9
Aug private practice axSpA 10
Aug private practice PsA 8
Aug private practice GCA/PMR 1
Aug university hospital RA 5
Aug university hospital axSpA 3
Aug university hospital PsA 4
Aug university hospital GCA/PMR 9
Sep hospital RA 2
Sep hospital axSpA 5
Sep hospital PsA 5
Sep hospital GCA/PMR 3
Sep private practice RA 9
Sep private practice axSpA 4
Sep private practice PsA 4
Sep university hospital RA 3
Sep university hospital axSpA 2
Sep university hospital PsA 3
Sep university hospital GCA/PMR 3
Oct hospital RA 2
Oct hospital axSpA 2
Oct hospital PsA 1
Oct hospital GCA/PMR 1
Oct private practice RA 6
Oct private practice axSpA 5
Oct private practice PsA 6
Oct university hospital RA 8
Oct university hospital axSpA 9
Oct university hospital PsA 1
Oct university hospital GCA/PMR 2
Nov hospital RA 6
Nov hospital axSpA 6
Nov hospital PsA 3
Nov hospital GCA/PMR 4
Nov private practice RA 4
Nov private practice axSpA 11
Nov private practice PsA 3
Nov private practice GCA/PMR 1
Nov university hospital RA 6
Nov university hospital axSpA 3
Nov university hospital PsA 3
Nov university hospital GCA/PMR 2
Dec hospital RA 4
Dec hospital axSpA 6
Dec private practice RA 6
Dec private practice axSpA 5
Dec private practice PsA 5
Dec private practice GCA/PMR 2
Dec university hospital RA 2
Dec university hospital axSpA 4
Dec university hospital PsA 2
Dec university hospital GCA/PMR 1
mySCQM
mon diagnosis n
Jan RA 602
Jan axSpA 617
Jan PsA 365
Jan GCA/PMR 23
Feb RA 561
Feb axSpA 527
Feb PsA 341
Feb GCA/PMR 19
Mar RA 599
Mar axSpA 576
Mar PsA 373
Mar GCA/PMR 26
Apr RA 556
Apr axSpA 549
Apr PsA 340
Apr GCA/PMR 24
May RA 549
May axSpA 585
May PsA 362
May GCA/PMR 25
Jun RA 537
Jun axSpA 536
Jun PsA 351
Jun GCA/PMR 24
Jul RA 548
Jul axSpA 556
Jul PsA 362
Jul GCA/PMR 25
Aug RA 573
Aug axSpA 584
Aug PsA 391
Aug GCA/PMR 24
Sep RA 553
Sep axSpA 540
Sep PsA 344
Sep GCA/PMR 27
Oct RA 572
Oct axSpA 573
Oct PsA 360
Oct GCA/PMR 29
Nov RA 561
Nov axSpA 570
Nov PsA 346
Nov GCA/PMR 31
Dec RA 545
Dec axSpA 561
Dec PsA 336
Dec GCA/PMR 26

Data for Figure 2

Visits
canton private practice hospital university hospital
VS 0 3 0
TI 164 0 0
GR 4 1 0
TG 0 5 0
ZH 380 169 375
AG 252 200 0
BS 640 12 161
BL 430 37 0
SG 93 253 0
SO 291 0 0
GE 2 0 241
VD 210 4 376
NE 0 172 0
BE 439 10 492
LU 399 50 0
SZ 5 8 0
FR 0 6 0
Inclusions
canton private practice hospital university hospital
VS 0 3 0
TI 11 0 0
TG 0 3 0
ZH 23 34 56
AG 5 9 0
BS 73 1 42
BL 28 16 0
SG 6 14 0
SO 33 0 0
GE 2 0 26
VD 47 4 25
NE 0 28 0
BE 17 2 73
LU 37 0 0
SZ 2 1 0
FR 0 1 0
Doctors
canton private practice hospital university hospital
VS 0 1 0
TI 4 0 0
GR 1 0 0
TG 0 1 0
ZH 22 24 34
AG 5 16 0
BS 9 3 23
BL 7 4 0
SG 6 16 0
SO 4 0 0
GE 1 0 11
VD 4 1 4
NE 0 8 0
BE 18 2 30
LU 7 6 0
SZ 1 1 0
FR 0 2 0
Institutions
canton private practice hospital university hospital
VS 0 1 0
TI 4 0 0
GR 1 1 0
TG 0 1 0
ZH 19 5 1
AG 5 3 0
BS 7 2 1
BL 5 1 0
SG 5 2 0
SO 3 0 0
GE 1 0 1
VD 4 1 1
NE 0 1 0
BE 10 1 1
LU 5 2 0
SZ 1 1 0
FR 0 1 0
Data for Figure 3
canton RA axSpA PsA GCA/PMR
VS 258 98 49 3
TI 311 117 153 6
GR 100 38 23 0
SH 95 29 20 0
TG 279 40 20 1
ZH 2048 1394 545 37
AG 842 363 231 5
BS 715 521 311 208
BL 440 259 150 2
SG 681 307 175 27
SO 472 226 301 1
JU 71 10 9 0
GE 654 236 135 36
VD 963 472 179 10
NE 180 142 57 3
BE 1488 723 484 76
LU 556 311 169 1
ZG 68 30 16 0
UR 14 2 3 0
SZ 13 11 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

Data for Figure 4

mySCQM
canton yes no
VS 0 3
TI 36 125
GR 2 1
TG 1 2
ZH 327 403
AG 94 211
BS 222 436
BL 116 195
SG 84 254
SO 20 202
GE 76 116
VD 111 286
NE 36 105
BE 213 651
LU 141 252
SZ 2 9
FR 3 1
Diagnosis
canton RA axSpA PsA GCA/PMR
VS 0 0 0 3
TI 72 32 53 4
GR 0 1 2 0
TG 0 1 1 1
ZH 236 337 132 25
AG 136 88 76 5
BS 211 223 125 99
BL 134 107 68 2
SG 171 96 70 1
SO 59 31 131 1
GE 96 58 30 8
VD 187 141 64 5
NE 46 65 28 2
BE 365 247 194 58
LU 179 127 86 1
SZ 5 5 1 0
FR 4 0 0 0
FU
canton new short mid long
VS 3 0 0 0
TI 11 27 52 71
GR 0 2 1 0
TG 3 0 0 0
ZH 113 243 156 218
AG 14 90 100 101
BS 116 248 143 151
BL 44 104 94 69
SG 20 126 90 102
SO 33 95 43 51
GE 28 64 47 53
VD 76 152 63 106
NE 28 62 44 7
BE 92 291 227 254
LU 37 140 116 100
SZ 3 1 2 5
FR 1 0 2 1
Recent Activity
canton switch stationary
VS 0 3
TI 5 156
GR 0 3
TG 0 3
ZH 137 593
AG 99 206
BS 94 564
BL 68 243
SG 16 322
SO 11 211
GE 13 179
VD 70 327
NE 7 134
BE 103 761
LU 78 315
SZ 5 6
FR 0 4

Data for Figure 5

Gender for Visits
gender diagnosis n
Female RA 1144
Female axSpA 590
Female PsA 392
Female GCA/PMR 112
Male RA 379
Male axSpA 657
Male PsA 423
Male GCA/PMR 67
Gender for mySCQM
gender diagnosis n
female RA 697
female axSpA 550
female PsA 278
female GCA/PMR 20
male RA 238
male axSpA 462
male PsA 285
male GCA/PMR 11
Age for Visits
generation diagnosis n
1996 or younger RA 20
1996 or younger axSpA 53
1996 or younger PsA 15
1996 or younger GCA/PMR 1
1980-1995(Millenial) RA 156
1980-1995(Millenial) axSpA 399
1980-1995(Millenial) PsA 129
1980-1995(Millenial) GCA/PMR 1
1964-1979(X) RA 440
1964-1979(X) axSpA 511
1964-1979(X) PsA 333
1964-1979(X) GCA/PMR 12
1945-1963(Boomer) RA 763
1945-1963(Boomer) axSpA 269
1945-1963(Boomer) PsA 313
1945-1963(Boomer) GCA/PMR 114
1944 or older RA 144
1944 or older axSpA 15
1944 or older PsA 25
1944 or older GCA/PMR 52
Age for mySCQM
generation diagnosis n
1996 or younger RA 6
1996 or younger axSpA 29
1996 or younger PsA 6
1996 or younger GCA/PMR 1
1980-1995(Millenial) RA 140
1980-1995(Millenial) axSpA 329
1980-1995(Millenial) PsA 95
1980-1995(Millenial) GCA/PMR 1
1964-1979(X) RA 321
1964-1979(X) axSpA 430
1964-1979(X) PsA 254
1964-1979(X) GCA/PMR 6
1945-1963(Boomer) RA 442
1945-1963(Boomer) axSpA 218
1945-1963(Boomer) PsA 200
1945-1963(Boomer) GCA/PMR 20
1944 or older RA 26
1944 or older axSpA 6
1944 or older PsA 8
1944 or older GCA/PMR 4
Education for Visits
education diagnosis n
Skipped question RA 122
Skipped question axSpA 152
Skipped question PsA 85
Mandatory RA 105
Mandatory axSpA 62
Mandatory PsA 43
Vocational RA 464
Vocational axSpA 369
Vocational PsA 254
Higher RA 252
Higher axSpA 273
Higher PsA 171
Education for mySCQM
education diagnosis n
Skipped question RA 58
Skipped question axSpA 88
Skipped question PsA 46
Mandatory RA 30
Mandatory axSpA 20
Mandatory PsA 26
Vocational RA 223
Vocational axSpA 218
Vocational PsA 130
Higher RA 151
Higher axSpA 190
Higher PsA 98
Work Status for Visits
work diagnosis n
No answer RA 22
No answer axSpA 18
No answer PsA 9
Pension RA 494
Pension axSpA 205
Pension PsA 182
Productive RA 427
Productive axSpA 633
Productive PsA 362
Work Status for mySCQM
work diagnosis n
No answer RA 5
No answer axSpA 8
No answer PsA 4
Pension RA 189
Pension axSpA 117
Pension PsA 94
Productive RA 268
Productive axSpA 391
Productive PsA 202
Table 11: Data for Figure 6
diagnosis patient_score population n percentage
RA 0 New inclusion 19 0.1600
RA 1 New inclusion 18 0.1600
RA 2 New inclusion 24 0.2100
RA 3 New inclusion 19 0.1600
RA 4 New inclusion 6 0.0520
RA 5 New inclusion 12 0.1000
RA 6 New inclusion 8 0.0690
RA 7 New inclusion 4 0.0340
RA 8 New inclusion 2 0.0170
RA 9 New inclusion 2 0.0170
RA 10 New inclusion 2 0.0170
RA 0 Patient at FU 362 0.2500
RA 1 Patient at FU 307 0.2100
RA 2 Patient at FU 269 0.1800
RA 3 Patient at FU 176 0.1200
RA 4 Patient at FU 123 0.0840
RA 5 Patient at FU 96 0.0650
RA 6 Patient at FU 67 0.0460
RA 7 Patient at FU 35 0.0240
RA 8 Patient at FU 27 0.0180
RA 9 Patient at FU 2 0.0014
RA 10 Patient at FU 3 0.0020
axSpA 0 New inclusion 16 0.0940
axSpA 1 New inclusion 27 0.1600
axSpA 2 New inclusion 27 0.1600
axSpA 3 New inclusion 28 0.1600
axSpA 4 New inclusion 10 0.0590
axSpA 5 New inclusion 16 0.0940
axSpA 6 New inclusion 18 0.1100
axSpA 7 New inclusion 11 0.0650
axSpA 8 New inclusion 9 0.0530
axSpA 9 New inclusion 5 0.0290
axSpA 10 New inclusion 3 0.0180
axSpA 0 Patient at FU 232 0.1900
axSpA 1 Patient at FU 231 0.1900
axSpA 2 Patient at FU 195 0.1600
axSpA 3 Patient at FU 157 0.1300
axSpA 4 Patient at FU 133 0.1100
axSpA 5 Patient at FU 95 0.0790
axSpA 6 Patient at FU 76 0.0630
axSpA 7 Patient at FU 52 0.0430
axSpA 8 Patient at FU 24 0.0200
axSpA 9 Patient at FU 2 0.0017
axSpA 10 Patient at FU 4 0.0033
PsA 0 New inclusion 14 0.1200
PsA 1 New inclusion 14 0.1200
PsA 2 New inclusion 27 0.2300
PsA 3 New inclusion 15 0.1300
PsA 4 New inclusion 8 0.0680
PsA 5 New inclusion 11 0.0930
PsA 6 New inclusion 14 0.1200
PsA 7 New inclusion 10 0.0850
PsA 8 New inclusion 4 0.0340
PsA 9 New inclusion 1 0.0085
PsA 10 New inclusion 0 0.0000
PsA 0 Patient at FU 158 0.2000
PsA 1 Patient at FU 193 0.2400
PsA 2 Patient at FU 154 0.1900
PsA 3 Patient at FU 88 0.1100
PsA 4 Patient at FU 73 0.0910
PsA 5 Patient at FU 68 0.0850
PsA 6 Patient at FU 27 0.0340
PsA 7 Patient at FU 16 0.0200
PsA 8 Patient at FU 23 0.0290
PsA 9 Patient at FU 2 0.0025
PsA 10 Patient at FU 1 0.0012
GCA/PMR 0 New inclusion 23 0.3400
GCA/PMR 1 New inclusion 8 0.1200
GCA/PMR 2 New inclusion 6 0.0880
GCA/PMR 3 New inclusion 6 0.0880
GCA/PMR 4 New inclusion 8 0.1200
GCA/PMR 5 New inclusion 5 0.0740
GCA/PMR 6 New inclusion 4 0.0590
GCA/PMR 7 New inclusion 4 0.0590
GCA/PMR 8 New inclusion 2 0.0290
GCA/PMR 9 New inclusion 1 0.0150
GCA/PMR 10 New inclusion 1 0.0150
GCA/PMR 0 Patient at FU 69 0.6800
GCA/PMR 1 Patient at FU 17 0.1700
GCA/PMR 2 Patient at FU 5 0.0500
GCA/PMR 3 Patient at FU 2 0.0200
GCA/PMR 4 Patient at FU 3 0.0300
GCA/PMR 5 Patient at FU 2 0.0200
GCA/PMR 6 Patient at FU 2 0.0200
GCA/PMR 7 Patient at FU 0 0.0000
GCA/PMR 8 Patient at FU 0 0.0000
GCA/PMR 9 Patient at FU 1 0.0099
GCA/PMR 10 Patient at FU 0 0.0000

Data for Figure 7

Visits
diagnosis group n
RA Used mySCQM in 2023 405
RA Former user 138
RA Never used mySCQM 980
axSpA Used mySCQM in 2023 464
axSpA Former user 136
axSpA Never used mySCQM 647
PsA Used mySCQM in 2023 245
PsA Former user 62
PsA Never used mySCQM 508
GCA/PMR Used mySCQM in 2023 17
GCA/PMR Former user 1
GCA/PMR Never used mySCQM 161
mySCQM
diagnosis group n
RA 2023 521
RA 2022 153
RA 2 to 4 years ago 151
RA More than 4 years ago 110
axSpA 2023 600
axSpA 2022 160
axSpA 2 to 4 years ago 153
axSpA More than 4 years ago 99
PsA 2023 340
PsA 2022 96
PsA 2 to 4 years ago 75
PsA More than 4 years ago 52
GCA/PMR 2023 23
GCA/PMR 2022 8
GCA/PMR 2 to 4 years ago 1
GCA/PMR More than 4 years ago 1
Data for Figure 8
diagnosis group n
RA Less than a year 89
RA 1 to 3 years 27
RA 3 to 10 years 11
RA More than 10 years 31
axSpA Less than a year 60
axSpA 1 to 3 years 32
axSpA 3 to 10 years 41
axSpA More than 10 years 83
PsA Less than a year 43
PsA 1 to 3 years 24
PsA 3 to 10 years 33
PsA More than 10 years 49
GCA/PMR Less than a year 75
GCA/PMR 1 to 3 years 6
GCA/PMR 3 to 10 years 4
GCA/PMR More than 10 years 14
Data for Figure 9
time n
Q1 2013 207
Q2 2013 231
Q3 2013 243
Q4 2013 254
Q1 2014 264
Q2 2014 280
Q3 2014 298
Q4 2014 314
Q1 2015 334
Q2 2015 352
Q3 2015 369
Q4 2015 395
Q1 2016 414
Q2 2016 436
Q3 2016 451
Q4 2016 469
Q1 2017 496
Q2 2017 513
Q3 2017 531
Q4 2017 547
Q1 2018 566
Q2 2018 578
Q3 2018 590
Q4 2018 604
Q1 2019 627
Q2 2019 646
Q3 2019 664
Q4 2019 682
Q1 2020 694
Q2 2020 712
Q3 2020 728
Q4 2020 761
Q1 2021 788
Q2 2021 802
Q3 2021 810
Q4 2021 824
Q1 2022 832
Q2 2022 837
Q3 2022 845
Q4 2022 854
Q1 2023 866
Q2 2023 873
Q3 2023 881
Q4 2023 889