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Table 2 Characteristics of patients with an outpatient visit (at the rheumatology ward) or a planned admission in the hospital (at the cardiology, neurology, internal medicine or pulmonary wards). More detailed information about the (collection of the) characteristics are described in Table 1

From: Usability and perceived usefulness of patient-centered medication reconciliation using a personalized health record: a multicenter cross-sectional study

 

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)

  1. Abbreviations: BPMH best possible medication history, IQR interquartile range, MR medication reconciliation, NMRS nationwide medication record system, OTC medication over-the-counter medication, PHR personal health record