| Literature DB >> 32695971 |
Gabriela Lima de Melo Ghisi1, Fanny Rouleau2, Marie-Kristelle Ross2, Monique Dufour-Doiron3, Sylvie L Belliveau3, Jean-René Brideau3, Crystal Aultman1, Scott Thomas4, Tracey Colella1, Paul Oh1.
Abstract
BACKGROUND: Although patient education is considered a core component of cardiac rehabilitation (CR) programs, to our knowledge, no educational program designed for CR has been standardized in Canada. This absence of standardization may be due to a lack of reliable resources to educate these patients. The objective of this study was to assess the effectiveness of an education intervention in improving knowledge and health behaviours among CR patients in 3 sites in Canada.Entities:
Year: 2020 PMID: 32695971 PMCID: PMC7365818 DOI: 10.1016/j.cjco.2020.02.008
Source DB: PubMed Journal: CJC Open ISSN: 2589-790X
Sociodemographic and clinical characteristics of participants in overall sample and by site
| Characteristic | Overall (n = 252) | Toronto (n = 84) | Lévis (n = 84) | Moncton (n = 84) | |
|---|---|---|---|---|---|
| Sociodemographic | |||||
| Age, y (mean ± SD) | 64.59 ± 9.67 | 64.64 ± 10.47 | 64.81 ± 9.16 | 64.32 ± 9.36 | 0.95 |
| Sex n (%) | |||||
| Male | 159 (69.4) | 63 (75.0) | 47 (67.1) | 49 (65.3) | 0.37 |
| Female | 70 (30.6) | 21 (25.0) | 23 (32.9) | 26 (34.7) | |
| Language n (%) | |||||
| English | 132 (52.4) | 84 (100.0) | 0 (0.0) | 48 (57.1) | - |
| French | 112 (44.4) | 0 (0.0) | 84 (100.0) | 28 (33.3) | |
| Ethnicity | |||||
| Caucasian | 182 (84.3) | 44 (58.7) | 72 (97.3) | 66 (98.5) | 0.78 |
| European | 12 (5.1) | 12 (16.0) | 0 (0.0) | 0 (0.0) | |
| South Asian | 6 (2.8) | 6 (8.0) | 0 (0.0) | 0 (0.0) | |
| Jewish | 5 (2.3) | 5 (6.7) | 0 (0.0) | 0 (0.0) | |
| West Asian | 3 (1.4) | 3 (4.0) | 0 (0.0) | 0 (0.0) | |
| African | 2 (0.9) | 2 (2.7) | 0 (0.0) | 0 (0.0) | |
| Aboriginal | 1 (0.5) | 0 (0.0) | 1 (1.4) | 0 (0.0) | |
| Arab | 1 (0.5) | 0 (0.0) | 0 (0.0) | 1 (1.5) | |
| South East Asian | 1 (0.5) | 1 (1.3) | 0 (0.0) | 0 (0.0) | |
| Education level | |||||
| Less than high school | 20 (8.6) | 2 (2.4) | 12 (16.0) | 6 (8.0) | < 0.001 |
| High school | 67 (28.9) | 23 (28.0) | 19 (25.3) | 25 (33.3) | |
| Trades certificate | 32 (13.8) | 3 (3.7) | 20 (26.7) | 9 (12.0) | |
| College or diploma | 55 (23.7) | 16 (19.5) | 14 (18.7) | 25 (33.3) | |
| University | 23 (25.0) | 38 (46.3) | 10 (13.3) | 10 (13.3) | |
| Family income | |||||
| < $10,000 per year | 8 (3.7) | 3 (3.9) | 2 (2.9) | 3 (4.2) | < 0.001 |
| Between $10,001 and $50,000 | 100 (45.7) | 24 (31.2) | 40 (57.1) | 36 (50.0) | |
| Between $50,001 and $100,000 | 70 (32) | 26 (33.8) | 22 (31.4) | 22 (30.6) | |
| Between $100,001 and $150,000 | 25 (11.4) | 13 (16.9) | 6 (8.6) | 6 (8.3) | |
| > $150,001 | 16 (7.3) | 11 (14.3) | 0 (0.0) | 5 (6.9) | |
| Clinical, n (% yes) | |||||
| MI | 95 (41.7) | 23 (27.4) | 40 (58.0) | 32 (42.7) | 0.001 |
| PCI | 132 (58.1) | 38 (45.2) | 46 (66.7) | 48 (64.9) | 0.01 |
| CABG | 52 (22.9) | 17 (20.2) | 18 (26.1) | 17 (23.0) | 0.70 |
| Angina | 65 (28.5) | 8 (9.5) | 25 (36.2) | 32 (42.7) | < 0.001 |
| CHF | 23 (10.1) | 4 (4.8) | 13 (18.8) | 6 (8.0) | 0.01 |
| Risk factors and comorbidities | |||||
| Hypertension | 168 (73.4) | 46 (54.8) | 58 (82.9) | 64 (85.3) | < 0.001 |
| Dyslipidemia | 157 (68.6) | 20 (23.8) | 65 (92.9) | 72 (96.0) | < 0.001 |
| Diabetes Type I | - | - | - | - | - |
| Diabetes Type II | 50 (21.8) | 18 (21.4) | 13 (18.6) | 19 (25.3) | 0.40 |
| Obesity | 84 (36.7) | - | 42 (60.0) | 42 (56.0) | 1.00 |
| Smoking | 24 (10.5) | 4 (4.8) | 9 (12.9) | 11 (14.7) | 0.09 |
| Sleep apnea | 18 (7.9) | 14 (16.7) | - | 4 (5.7) | < 0.001 |
| Alcohol | 13 (5.7) | 5 (6.0) | 5 (7.1) | 3 (4.0) | 0.71 |
| VHD | 7 (3.3) | 5 (6.0) | 1 (1.4) | 1 (1.8) | 0.27 |
| Depression | 5 (2.2) | 2 (2.4) | 1 (1.4) | 2 (2.7) | 0.87 |
Valid percentages are reported.
CABG, coronary artery bypass grafting; CHF, chronic heart failure; MI, myocardial infarction; PCI, percutaneous coronary intervention; SD, standard deviation; VHD, valvular heart disease.
Chi-square or t tests as appropriate for differences between sites.
Self-reported.
Extracted from electronic records of patients.
Significant differences (P < 0.05) between Toronto and Lévis.
Significant differences (P < 0.05) between Toronto and Moncton.
Significant differences (P < 0.05) between Lévis and Moncton.
Knowledge and behaviour change in overall sample
| Maximum possible score | Pre-CR (n = 232) | Post-CR (n = 158) | ||
|---|---|---|---|---|
| Knowledge (mean ± SD) | ||||
| Total scores | 20 | 15.58 ± 2.42 | 16.69 ± 2.99 | < 0.001 |
| Subscales | ||||
| Medical condition | 4 | 2.71 ± 0.61 | 2.86 ± 0.64 | 0.16 |
| Risk factors | 4 | 3.47 ± 0.71 | 3.49 ± 0.81 | 1.00 |
| Exercise | 4 | 2.98 ± 0.96 | 3.43 ± 0.88 | < 0.001 |
| Nutrition | 4 | 3.61 ± 0.59 | 3.71 ± 0.69 | 0.25 |
| Psychological risk | 4 | 2.81 ± 0.98 | 3.19 ± 0.96 | < 0.001 |
| Physical activity | ||||
| Mean number of steps per day (mean ± SD) | - | 6182.33 ± 3254.51 | 7496.21 ± 3436.30 | < 0.001 |
| Participants who reached 7500 steps/day, n (%) | - | 62 (27.4%) | 78 (52.0%) | < 0.001 |
| Food intake | ||||
| Total scores (mean ± SD) | 13 | 7.32 ± 2.43 | 8.77 ± 2.18 | < 0.001 |
| Participants who scored ≥ 10, n (%) | - | 47 (20.1%) | 66 (41.5%) | - |
| Participants who scored ≤ 5, n (%) | - | 60 (25.6%) | 12 (7.5%) | - |
| Exercise self-efficacy (mean ± SD) | ||||
| Total scores | 5 | 3.06 ± 0.81 | 3.46 ± 0.81 | < 0.001 |
| Health literacy | ||||
| METER total scores (mean ± SD) | 40 | 32.05 ± 11.45 | 31.66 ± 12.79 | 0.97 |
| METER Classification, n (%) | ||||
| Low health literacy | - | 20 (8.6%) | 16 (10.1%) | - |
| Marginal health literacy | - | 80 (34.5%) | 46 (29.1%) | - |
| Functional health literacy | - | 132 (56.9%) | 96 (60.8%) | - |
| NVS total scores (mean ± SD) | 6 | 4.21 ± 1.78 | 4.27 ± 1.74 | 0.58 |
Valid percentages are reported.
CR, cardiac rehabilitation; METER, Medical Term Recognition Test; NVS, Newest Vital Sign; SD, standard deviation.
Correlations among health behaviours, self-efficacy, health literacy, and post-CR knowledge
| Correlation | Partial | |||
|---|---|---|---|---|
| Pearson correlation | Pearson correlation | |||
| Physical activity | 0.088 | 0.29 | 0.060 | 0.47 |
| Food intake | 0.203 | 0.01 | 0.150 | 0.06 |
| Self-efficacy | 0.201 | 0.01 | 0.217 | 0.006 |
| Health Literacy (METER) | 0.241 | 0.002 | 0.184 | 0.02 |
| Health Literacy (NVS) | 0.067 | 0.41 | 0.056 | 0.50 |
METER, Medical Term Recognition Test; NVS, Newest Vital Sign.
Control variable = pre-CR total knowledge.
Simple and multiple regression analysis for post-CR knowledge among overall sample
| Variable | Simple regression | Multiple regression | ||
|---|---|---|---|---|
| B | B | |||
| Age | 0.019 | 0.47 | - | - |
| Female | −0.582 | 0.25 | - | - |
| Education, less than high school | −2.511 | 0.04 | −2.285 | 0.07 |
| Education, high school | −0.267 | 0.66 | −0.189 | 0.75 |
| Education, trade certificate | 1.003 | 0.19 | 0.742 | 0.32 |
| Education, college | 0.706 | 0.27 | 0.411 | 0.52 |
| Education, university | 0 | - | - | - |
| Income, < 10 k per year | −2.200 | 0.182 | - | - |
| Income, between 10k and 50k | −0.422 | 0.578 | - | - |
| Income, between 50k and 100k | −0.762 | 0.340 | - | - |
| Income, between 100k and 150k | −0.367 | 0.707 | - | - |
| Income, > 150k | 0 | - | - | - |
| Preknowledge | 0.433 | < 0.001 | 0.374 | < 0.001 |
| Language | −0.196 | 0.68 | - | - |
| CR sessions attended | −0.003 | 0.96 | - | - |
CR, cardiac rehabilitation.