Background
Methods
Development and description of the CHD pathway
Study design
Data collection
Study sample
Data analysis
Results
Sample characteristics
Variables | Study arm A (developers) | Study arm B (users) | Study arm C (control) | P value |
---|---|---|---|---|
N | 8 | 6 | 6 | |
Mean age (year) | 50.8 | 52.8 | 51.3 | .77 |
Gendera | .06 | |||
female (%) | 4 (50.0) | 1 (16.7) | 5 (83.3) | |
male (%) | 4 (50.0) | 5 (83.3) | 1 (16.6) | |
Practice locationa | .87 | |||
town (%) | 4 (50.0) | 3 (50.0) | 4 (66.6) | |
country (%) | 4 (50.0) | 3 (50.0) | 2 (22.2) | |
Characteristic of the practicea | .62 | |||
single practice | 3 (37.5) | 2 (33.3) | 4 (66.6) | |
group practice | 5 (62.5) | 4 (66.6) | 2 (33.3.) |
Variables | Study arm A (developers) | Study arm B (users) | Study arm C (control) | P value |
---|---|---|---|---|
N | 128 | 70 | 92 | |
Mean age (year) (SD, range) | 68.48 (9.89; 42–91) | 68.91 (10.60; 44–89) | 70.72 (10.70; 40–94) | .27 |
Genderb | .002 | |||
female (%) | 27 (21.1) | 27 (38.6) | 38 (41.3) | |
male (%) | 101 (78.9) | 43 (61.4) | 54 (58.7) | |
Living with partnerb | .02 | |||
yes (%) | 102 (79.7) | 49 (71.0) | 57 (62.6) | |
no (%) | 26 (20.3) | 20 (29.0) | 34 (37.4) | |
Education level | .25 | |||
9 or less years | 85 (67.5) | 45 (67.2) | 55 (62.5) | |
10 years | 22 (17.5) | 6 (9.0) | 18 (20.5) | |
11-13 years | 19 (15.1) | 16 (23.9) | 15 (17.0) | |
Employment | .13 | |||
yes (%) | 30 (23.6) | 11 (16.2) | 12 (13.3) | |
no (%) | 97 (76.4) | 57 (83.8) | 78 (86.7) | |
Prior myocardial infarction | .46 | |||
yes (%) | 67 (52.3) | 42 (60.0) | 45 (50.6) | |
no (%) | 61 (47.7) | 28 (40.0) | 44 (49.4) | |
Prior bypass or stent | .16 | |||
yes (%) | 105 (82.0) | 58 (84.1) | 65 (73.0) | |
no (%) | 23 (18.0) | 11 (15.9) | 24 (27.0) |
Dropout analysis
Cross sectional analyses
Group | Index t0 | Index t1 | Index t2 |
---|---|---|---|
Developers | 80.59 (16.95) | 78.12 (17.29) | 77.82 (16.08) |
Users | 68.74 (20.71) | 69.36 (21.04) | 66.20 (18.70) |
Control | 69.94 (20.97) | 66.45 (25.39) | 66.45 (25.39) |
ICC | .129 | .089 | .100 |
Index t0 | Index t1 | Index t2 | |
---|---|---|---|
group | −4.58 (3.08) p = .14 | −6.21 (3.05) p = .05* | −7.87 (2.98) p = .01** |
medication | −1.72 (3.47) p = .62 | −2.66 (3.71) p = .48 | −5.50 (3.50) p = .12 |
group*medication | −0.14 (1.65) p = .93 | 0.92 (1.74) p = .60 | 2.10 (1.65) p = .21 |
myocardial infarction | −3.17 (2.38) p = .19 | −3.66 (2.57) p = .16 | −5.20 (2.48) p = .04* |
bypass/stent | 1.80 (3.04) p = .56 | −0.93 (3.28) p = .78 | 1.27 (3.16) p = .69 |
gender | −2.77 (2.72) p = .31 | −9.50 (2.95) p = .001** | −6.45 (2.84) p = .02* |
age | 0.18 (0.15) p = .21 | 0.01 (0.16) p = .97 | −0.10 (0.15) p = .53 |
partner | −2.75 (2.71) p = .31 | −1.09 (2.93) p = .71 | −0.86 (2.82) p = .76 |
employment | −9.21 (3.73) p = .01** | −1.36 (4.02) p = .74 | −1.69 (3.88) p = .66 |
education | 2.17 (1.51) p = .15 | 4.56 (1.62) p = .005** | 3.25 (1.57) p = .04* |
Longitudinal analyses
Index | |
---|---|
group | −5.02* (2.09) p = .03 |
time | −1.34 (1.91) p = .48 |
group*time | −0.08 (0.94) p = .94 |
medication | −1.52 (0.85) p = .07 |
myocardial infarction | −4.39** (1.42) p = .002 |
bypass/stent | 0.15 (1.82) p = .94 |
gender | −6.45** (1.62) p < .001 |
age | −0.01 (0.09) p = .90 |
partner | −1.09 (1.62) p = .50 |
employment | −3.73 (2.23) p = .09 |
education | 3.33** (0.91) p < .001 |