| Inpatients (N = 177) | Outpatients (N = 78) |
---|---|---|
Age (years, median (IQR)) | 65 (57–71) | 59 (50–65) |
Male, n(%) | 122 (69) | 20 (26) |
Highest educational level, n(%) | ||
 Primary school | 7 (4) | 3 (4) |
 Secondary school: low level | 26 (15) | 10 (13) |
 Secondary vocational education | 61 (35) | 35 (45) |
 Secondary school: high level | 20 (11) | 9 (12) |
 Universities of applied sciences | 48 (27) | 19 (24) |
 University | 15 (9) | 2 (3) |
Hours a week of private internet use, n(%) | ||
 0–7 | 73 (41) | 42 (54) |
 7–14 | 59 (33) | 25 (32) |
 14–28 | 37 (21) | 10 (13) |
  > 28 | 8 (5) | 1 (1) |
Experience with digital devices (score from low (1) to high (10)), n(%) | ||
 1–2 | 12 (7) | 3 (4) |
 3–4 | 10 (6) | 6 (8) |
 5–6 | 39 (22) | 16 (21) |
 7–8 | 81 (46) | 42 (54) |
 9–10 | 35 (20) | 11 (14) |
Patients with knowledge about the indication(s) of their drug(s), n(%) | 161 (91) | 73 (94) |
Number of drugs on the BPMH, median (IQR) | 7 (3–10) | 5 (3–7) |
Number of specialism-related drugs on the BPMH, median (IQR) | 4 (2–5) | 1 (0–2) |
Number of OTC medication, median (IQR) | 0 (0–1) | 1 (0–2) |
Number of changes in patient’s drug list in the last 12 months, median (IQR) | 16 (7–28) | 13 (7–22) |
Number of known comorbidities, median (IQR) | 4 (2–6) | 3 (2–5) |
Number of years under treatment of the specialist, median (IQR) | 4 (0–10) | 0 (0–0) |
Number of different prescribers (except for the general practitioner), median (IQR) | 1 (1–2) | 2 (1–2) |
Type of prescriber, n(%) | ||
 Physician assistant | – | 12 (15) |
 Rheumatologist | – | 66 (85) |
Reason for the outpatient rheumatologic visit, n(%) | ||
 Diagnosis | – | 48 (62) |
 New disease | – | 10 (13) |
 Follow-up appointment | – | 7 (9) |
 Other | – | 13 (17) |
Number of outpatient visits to the specialist in the last 12 months, median (IQR) | 3 (2–6) | 0 (0–0) |
Number of hospital admissions at the admitted department in the last 12 months, median (IQR) | 0 (0–1) | – |
Device used to log in to the PHR, n(%) | ||
 Computer | 115 (65) | 46 (59) |
 Tablet | 26 (15) | 14 (18) |
 Smartphone | 36 (20) | 18 (23) |
Data import of the NMRS in the PHR, n(%) | 156 (88) | 64 (82) |
Available time for patients to connect with the PHR (days, median (IQR)) | 7 (5–8) | 13 (11–13) |
Number of days between sending the invitation and the patients login to the PHR, median (IQR)) | 0 (0–1) | 3 (2–7) |
PHR used without help from others, n(%) | 173 (98) | 78 (100) |
PHR used for other purposes, n(%) | ||
 Printing a current medication list | – | 14 (18) |
 Requesting a prescription refill | – | 4 (5) |
Number of logins to the PHR 12 months before the visit, n(%) | ||
 0 | 167 (94) | 74 (95) |
 1 | 10 (6) | 4 (5) |
Percentage of logins to the PHR up to 12 months after the appointment, n(%) | ||
 No invitation of the PHR received | 153 (86) | 38 (49) |
 0% | 10 (6) | 13 (17) |
 1–24% | 0 (0) | 0 (0) |
 25–50% | 2 (1) | 1 (1) |
 51–75% | 3 (2) | 8 (10) |
 76–100% | 9 (5) | 18 (23) |