| Literature DB >> 35982741 |
Ewa Kowalewska1, Katarzyna Komnacka1, Krzysztof Wójcicki1, Artur Dziewierz1,2, Dariusz Dudek2, Tomasz Tokarek1.
Abstract
Introduction: Education about coronary artery disease (CAD) is the basis of the prevention programs to limit the impact of CAD on patients' health. Aim: To identify patterns characterizing several groups of patients that might help to create targeted and more efficient education projects. Material and methods: Data were collected using a self-designed questionnaire assessing sociodemographic and clinical profile, sources of knowledge, and expectations about education on heart diseases. It was conducted among patients at the cardiology department and at the patients' congress. Data were collected between July 2016 and October 2018 at the cardiology department and 5-7 December 2018 during a patients' congress.Entities:
Keywords: coronary artery disease; education; knowledge; lifestyle; prevention
Year: 2022 PMID: 35982741 PMCID: PMC9199029 DOI: 10.5114/aic.2022.116461
Source DB: PubMed Journal: Postepy Kardiol Interwencyjnej ISSN: 1734-9338 Impact factor: 1.065
Figure 1Questionnaire
Knowledge sources used by patients in groups according to sociodemographic and clinical factors. Part 1. Data presented as number (percentage)
| Variable | GP | Cardiologist | Family | ||||
|---|---|---|---|---|---|---|---|
| All respondents ( | 204 (42%) | – | 316 (65%) | – | 83 (17%) | – | |
| Gender | Male ( | 119 (44%) | 0.3 | 192 (71%) | 0.001 | 46 (17%) | 1.0 |
| Female ( | 84 (39%) | 117 (54%) | 37 (17%) | ||||
| Age | < 65 years ( | 68 (41%) | 0.8 | 119 (71%) | 0.4 | 27 (16%) | 0.9 |
| ≥ 65 years (n = 319) | 134 (42%) | 207 (65%) | 51 (16%) | ||||
| Education | Primary, secondary or vocational ( | 158 (44%) | 0.5 | 248 (67%) | 0.02 | 61 (17%) | 0.6 |
| Higher ( | 48 (38%) | 71 (55%) | 19 (15%) | ||||
| Marital status | Married ( | 141 (42%) | 0.8 | 231 (69%) | 0.01 | 54 (16%) | 0.7 |
| Not married ( | 62 (41%) | 85 (56%) | 27 (18%) | ||||
| Place of residence | Rural area ( | 57 (48%) | 0.2 | 83 (70%) | 0.3 | 20 (17%) | 1.0 |
| Urban area ( | 147 (40%) | 232 (63%) | 59 (16%) | ||||
| Previous MI | No history ( | 118 (37%) | 0.02 | 181 (57%) | 0.001 | 57 (18%) | 0.2 |
| History of MI ( | 82 (49%) | 124 (74%) | 22 (13%) | ||||
GP – general practitioner, MI – myocardial infarction.
Knowledge sources used by patients in groups according to sociodemographic and clinical factors. Part 2. Data presented as number (percentage)
| Variable | Television | Books | Internet | None | |||||
|---|---|---|---|---|---|---|---|---|---|
| All respondents ( | 107 (22%) | – | 175 (36%) | – | 146 (30%) | – | 29 (6%) | – | |
| Gender | Male ( | 51 (19%) | 0.1 | 89 (33%) | 0.1 | 81 (30%) | 1.0 | 14 (5%) | 0.4 |
| Female ( | 56 (26%) | 86 (40%) | 63 (29%) | 15 (7%) | |||||
| Age | < 65 years ( | 38 (23%) | 0.9 | 55 (33%) | 0.6 | 63 (38%) | 0.003 | 7 (4%) | 0.2 |
| ≥ 65 years ( | 73 (23%) | 115 (36%) | 73 (23%) | 26 (8%) | |||||
| Education | Primary, secondary or vocational ( | 79 (22%) | 0.8 | 108 (30%) | 0.001 | 90 (25%) | 0.004 | 18 (5%) | 0.1 |
| Higher ( | 27 (21%) | 62 (49%) | 50 (39%) | 11 (9%) | |||||
| Marital status | Married ( | 70 (21%) | 0.4 | 114 (34%) | 0.4 | 97 (29%) | 0.8 | 17 (5%) | 0.6 |
| Not married ( | 38 (25%) | 57 (38%) | 45 (30%) | 11 (7%) | |||||
| Place of residence | Rural area ( | 25 (21%) | 0.8 | 37 (31%) | 0.3 | 26 (22%) | 0.04 | 8 (7%) | 0.6 |
| Urban area ( | 81 (22%) | 136 (37%) | 118 (32%) | 18 (5%) | |||||
| Previous MI | No history ( | 64 (20%) | 0.3 | 111 (35%) | 0.8 | 86 (27%) | 0.4 | 19 (6%) | 0.4 |
| History of MI ( | 40 (24%) | 60 (36%) | 52 (31%) | 7 (4%) | |||||
GP – general practitioner, MI – myocardial infarction.
Comparison of the popularity of particular internet sources of knowledge in groups according to sociodemographic and clinical factors
| Variable | Recommended website | Social media | Forums | ||||
|---|---|---|---|---|---|---|---|
| All respondents ( | 83 (29%) | – | 69 (24%) | – | 54 (19%) | – | |
| Age | < 65 years ( | 17 (32%) | 0.3 | 13 (25%) | 0.7 | 13 (25%) | 0.4 |
| ≥ 65 years ( | 30 (24%) | 28 (22%) | 24 (19%) | ||||
| Education | Primary, secondary, vocational ( | 43 (27%) | 0.2 | 37 (23%) | 0.5 | 28 (17%) | 0.4 |
| Higher ( | 24 (35%) | 18 (26%) | 15 (22%) | ||||
| Place of residence | Rural area ( | 15 (30%) | 0.9 | 9 (18%) | 0.3 | 9 (18%) | 0.8 |
| Urban area ( | 52 (29%) | 45 (25%) | 34 (19%) | ||||
| History of CAD | No CAD in history ( | 26 (28%) | 0.9 | 28 (30%) | 0.2 | 22 (23%) | 0.06 |
| History of CAD ( | 31 (27%) | 25 (22%) | 15 (13%) | ||||
CAD – coronary artery disease.
Figure 2Currently used sources of knowledge reported as the most valuable. Data presented as number (percentage), p = 0.001
Preferred forms of education in groups according to sociodemographic profile
| Variable | Meetings with health care professionals | Books | TV | Internet | |||||
|---|---|---|---|---|---|---|---|---|---|
| All patients ( | 320 (66%) | – | 180 (37%) | – | 97 (20%) | – | 107 (22%) | – | |
| Gender | Male ( | 178 (66%) | 1.0 | 103 (38%) | 0.5 | 46 (17%) | 0.1 | 76 (28%) | 0.02 |
| Female ( | 142 (66%) | 76 (35%) | 52 (24%) | 35 (16%) | |||||
| Age | < 65 years ( | 112 (67%) | 0.9 | 72 (43%) | 0.2 | 30 (18%) | 0.7 | 48 (29%) | 0.08 |
| ≥ 65 years ( | 214 (67%) | 115 (36%) | 64 (20%) | 54 (17%) | |||||
| Education | Primary, secondary or vocational ( | 240 (67%) | 0.9 | 122 (34%) | 0.2 | 61 (17%) | 0.02 | 72 (20%) | 0.6 |
| Higher ( | 84 (66%) | 53 (42%) | 36 (28%) | 29 (23%) | |||||
| Marital status | Married ( | 224 (67%) | 0.7 | 131 (39%) | 0.3 | 67 (20%) | 0.6 | 70 (21%) | 0.6 |
| Not married ( | 98 (65%) | 50 (33%) | 33 (22%) | 34 (23%) | |||||
| Place of residence | Rural area ( | 77 (65%) | 0.7 | 46 (39%) | 0.6 | 21 (18%) | 0.5 | 27 (23%) | 0.8 |
| Urban area ( | 247 (67%) | 132 (36%) | 77 (21%) | 77 (21%) | |||||
| Previous MI | No history ( | 213 (67%) | 0.7 | 114 (36%) | 1.0 | 67 (21%) | 0.4 | 64 (20%) | 0.3 |
| History of MI ( | 109 (65%) | 62 (37%) | 29 (17%) | 44 (26%) | |||||
MI – myocardial infarction.