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. 2015 Fall;67(4):357–364. doi: 10.3138/ptc.2014-28

Table 1.

Pre-Measurement Characteristics of Participants

No. (%) of respondents*
Characteristic Intervention group
(n=234)*
Control group
(n=199)*
p-value
Sex 0.21
 Male 116 (49.6) 87 (43.7)
 Female 118 (50.4) 113 (56.3)
Employment setting 0.64
 Primary care 186 (79.5) 154 (77.4)
 Nursing home 48 (20.5) 45 (22.6)
Age, y <0.001
 <30 35 (15.0) 47 (23.6)
 30–50 98 (41.9) 107 (53.8)
 ≥50 101 (43.1) 46 (22.6)
Working week, h/wk 0.008
 <25 48 (20.5) 66 (33.2)
 25–33 72 (30.8) 45 (22.6)
 ≥33 114 (48.7) 88 (44.2)
Work experience, y 0.002
 0–10 42 (17.9) 64 (32.2)
 11–20 40 (17.1) 38 (19.1)
 21–30 88 (37.6) 60 (30.1)
 ≥30 64 (27.3) 37 (18.6)
Attitudes and behaviours (intervention group, n=252; control n=235)
Positive attitude toward outcome measures 0.79
 Agree 221 (87.7) 202 (86.0)
 Neutral 24 (9.5) 24 (10.2)
 Disagree 7 (2.8) 9 (3.8)
Difficulty in changing behaviour 0.036
 Agree 134 (53.2) 98 (41.7)
 Neutral 51 (20.2) 55 (23.4)
 Disagree 67 (26.6) 82 (34.9)
Use of measurement instruments, % of clients
 Consistently use 26 41 <0.001
 Occasionally use 25 25 0.95
 Consistently do not use 48 34 <0.001
Difficulty in choosing among the many available measurement instruments 3.5 3.1 <0.001
*

Unless otherwise indicated.

p-values for testing differences between intervention and control groups. For categorical variables, Fisher's exact test was used; for the last four variables, independent-samples t-test was used.

Mean score on a 5-point Likert-type scale (1=strongly disagree, 5=strongly agree).