Literature DB >> 28096844

Influence of an extended education program on the knowledge of cardiovascular risk factors among subjects undergoing rehabilitation following acute coronary syndrome.

Wojciech S Kapko1, Łukasz J Krzych2.   

Abstract

INTRODUCTION: Health education is a component of complex cardiac rehabilitation (CCR). AIM: To evaluate the influence of an authorial extended educational program on the knowledge of cardiovascular risk factors among subjects undergoing early in-hospital rehabilitation following acute coronary syndrome treated with percutaneous intervention.
MATERIAL AND METHODS: This prospective study covered 205 consecutive subjects (153 men and 52 women, aged 62 ±9 years) undergoing CCR. They were randomly allocated to the control group (105 patients receiving standard education during CCR) or the study group (100 patients participating in the extended education program). The extended education program was conducted in the 2nd and 3rd week of CCR and included a package of educational materials and additional lectures.
RESULTS: Knowledge of basic rules for secondary cardiac prevention was better in the study group, both on admission and after CCR. Notwithstanding, a positive influence of the extended educational program was found with regard to awareness of recommended blood pressure levels and blood lipid profile (improvement of 15-20% in the study group). At baseline, the knowledge of risk factors was comparable between the groups (the percentage of correct questionnaire answers was 50 ±17% among the controls vs. 49 ±16% in the study group; p = 0.77), but improved significantly after education (52 ±17% among controls vs. 58 ±19% in the study group; p = 0.009) and remained better in the study group after a 3-month follow-up (56 ±19% among controls vs. 64 ±19% in the study group).
CONCLUSIONS: Extended education during CCR significantly improves the knowledge of cardiovascular risk factors in patients after acute coronary syndrome.

Entities:  

Keywords:  cardiovascular risk; complex cardiac rehabilitation; education; secondary prevention

Year:  2016        PMID: 28096844      PMCID: PMC5233777          DOI: 10.5114/kitp.2016.64892

Source DB:  PubMed          Journal:  Kardiochir Torakochirurgia Pol        ISSN: 1731-5530


Introduction

The main modifiable risk factors for cardiovascular diseases continue to include tobacco smoking, hypercholesterolemia, obesity, low physical activity, arterial hypertension, and diabetes [1]. Their early diagnosis and proper management constitute the fundamental elements of prevention, which translates into a significant reduction in mortality due to cardiovascular causes (even up to 50–75%) [2, 3]. Population-based prevention and health education programs are meant to serve as an effective source of reliable information on health and its determinants. They are particularly important for individuals after previous coronary incidents because they translate into improved prognosis [1, 4]. In order to assess the implementation of rules for circulatory disease prevention into everyday practice, both national and international multicenter epidemiological studies are being systematically conducted [5-8]. Their results underscore the still excessively high incidence of modifiable cardiovascular risk factors and their insufficient control. This state of affairs is attributed to the poor effectiveness of the public health sector’s actions on the one hand, and the reluctance of patients to broaden their knowledge on the topic or participate in rehabilitation programs after discharge on the other [9]. Thus, it seems justified to pose the question whether extending the education provided during comprehensive cardiac rehabilitation (CCR) cycles [10, 11] improves the knowledge of cardiovascular risk factors. After all, it is known that participants of rehabilitation programs are much more enthusiastic with regard to expanding their knowledge on the topic [12, 13] and that the favorable effect persists in long-term follow-up [14, 15].

Aim

The aim of the study was to assess the influence of the described authorial education program on the awareness of cardiovascular risk factors among patients after acute coronary incidents treated with percutaneous angioplasty and undergoing early in-hospital cardiac rehabilitation.

Material and methods

The prospective study included 205 subsequent patients who were hospitalized at the Upper Silesian Rehabilitation Center “Repty” as part of early in-hospital cardiac rehabilitation between May 2013 and April 2014 after suffering acute coronary incidents and being treated with transcutaneous angioplasty. Patients who qualified for comprehensive cardiac rehabilitation were included in the study [10]. The exclusion criteria were: physical disability preventing the patient from participating in the rehabilitation procedures (e.g. amputations, advanced osteoarthritis, poorly controlled obstructive pulmonary disease), disability preventing the patient from filling out the questionnaire or using the educational materials (e.g. significant amblyopia despite vision correction), mental disability preventing the patient from filling out the questionnaire, significant systemic diseases (e.g., systemic connective tissue diseases, neoplastic disease), incomplete rehabilitation cycle, and lack of consent. The patients were randomly assigned to one of two groups: 105 patients received standard education during the rehabilitation cycle (controls), while 100 patients participated in an extended education program (study group). Standard education involved a weekly 45-minute lecture. The education program was conducted during the 2nd and 3rd weeks of rehabilitation and included an authorial package of educational materials prepared in accordance with the guidelines of the Polish Forum for Prevention [16], materials from the educational campaign of the Polish Cardiac Society “Nie zawal! Wybierz życie” (www.niezawal.pl) received in agreement with the Astra Zeneca company, and two additional 45-minute lectures (educator: a Partner of the Polish Forum for Prevention). The research tool was the original questionnaire developed based on the “Guidelines Polish Forum of Cardiovascular Prevention” (Annex). Additional information was obtained from the available medical records and structured interviews conducted at admission. Before being deployed, the questionnaire was validated (the κ statistic ranged from 0.82 to 1.0). The patients filled out the form at the beginning (time ‘0’) and toward the end of the rehabilitation cycle (time ‘1’). Additionally, the questionnaire was sent to 50 randomly selected individuals from both groups 3 months after the end of rehabilitation (time ‘2’). The participation rate in both groups during the rehabilitation program was 100%; the rate of return for the questionnaires that were sent by mail was 26% in the study group and 32% among the controls. Due to this low participation rate and a risk of bias, the data from the 3-month follow-up were excluded from statistical comparisons. The project was not a medical experiment and did not require approval of an ethics committee.

Statistical analysis

Statistical analysis was conducted based on procedures contained within SAS v.9.4 software (SAS Institute Inc., Cary, North Carolina, USA). To describe quantitative variables, the mean values and their standard deviations were calculated, and distribution normality was verified with the Kolmogorov-Smirnov test. Qualitative variables were presented as absolute values and percentages. Correlations between quantitative variables were assessed based on the value of Pearson’s correlation coefficient, while variables with non-normal distribution underwent logarithmic transformation. To evaluate intergroup differences in quantitative variables, we used Student’s t-test (for variables meeting the criteria for normal distribution) or its nonparametric equivalent – the Mann Whitney U-test (when the distribution was not normal). A t-test for paired variables or its nonparametric equivalent was used for paired variables; in the case of qualitative variables, a χ2 test or McNemar’s test was used. In order to interpret the obtained differences and relationships, the criterion of statistical significance was set at p < 0.05.

Results

The study analyzed 205 patients (153 men and 52 women) at the mean age of 62 ±9 years. Patient characteristics and intergroup differences are presented in Table I. Parameters that were statistically significantly more frequent among the controls included: overweight (but not obesity), tobacco addiction (though the number of pack-years was similar), and dyslipidemia. Patients from the study group were less likely to know their body mass value, but were more often aware of arterial pressure, glycemia, and cholesterol concentration (Tab. II).
Tab. I

Patient characteristics

VariableControlsStudy group P-value
Male gender73 (70%)80 (80%)0.08
Age [years]62 ±962 ±100.65
BMI [kg/m2]29 ±428 ±40.07
Overweight or obesity (BMI ≥ 25 kg/m2)89 (85%)70 (70%)0.01
Obesity (BMI ≥ 30 kg/m2)39 (37%)33 (33%)0.44
Nicotinism62 (59%)9 (9%)< 0.01
Nicotinism – pack-years15 ±416 ±40.53
Low physical activity (declared)10 (10%)13 (13%)0.57
Arterial hypertension83 (79%)71 (71%)0.18
Diabetes34 (33%)21 (21%)0.07
Dyslipidemia62 (59%)38 (38%)< 0.01
Family history of cardiovascular diseases65 (62%)62 (62%)0.89

WHR – waist-to-hip ratio.

Tab. II

Knowledge of one’s own cardiovascular risk factors in both groups at baseline and after the education program

Risk factorControlsStudy group
‘0’‘1’‘2’‘0’‘1’‘2’
Body mass103 (98%)103 (98%)15 (94%)98 (98%)92 (92%)* 13 (100%)
Arterial pressure67 (64%)67 (64%)15 (94%)84 (84%)* 84 (84%)* 10 (77%)
Glycemia43 (41%)43 (41%)12 (75%)60 (60%)* 60 (60%)* 10 (77%)
Cholesterol concentration34 (33%)34 (33%)14 (88%)48 (48%)* 51 (51%)* 9 (69%)

p < 0.05 study group vs. controls.

Patient characteristics WHR – waist-to-hip ratio. Knowledge of one’s own cardiovascular risk factors in both groups at baseline and after the education program p < 0.05 study group vs. controls. The study group also showed better awareness of the fundamental rules for the prevention of cardiovascular diseases, both at baseline and during follow-up (Tab. III). The education program also improved the knowledge of recommended arterial pressure values and lipid profiles (Tab. III).
Tab. III

Knowledge of the basic rules for the prevention of cardiovascular diseases in both groups at baseline and after the education program

Prevention ruleControl groupStudy group
‘0’‘1’‘2’‘0’‘1’‘2’
Normal arterial blood pressure10 (10%)10 (10%)4 (25%)30 (30%)* 35 (35%)*,** 6 (38%)
Normal glycemia50 (48%)50 (48%)9 (56%)39 (39%)39 (39%)6 (38%)
Normal cholesterol concentration69 (68%)69 (68%)7 (43%)32 (32%)* 34 (34%)* 4 (25%)
The concept of HDL34 (32%)34 (32%)10 (62%)53 (53%)* 62 (62%)*,** 6 (38%)
The concept of LDL34 (32%)34 (32%)10 (62%)54 (54%)* 68 (68%)*,** 6 (38%)
Normal recommended physical activity87 (83%)87 (83%)1 (6%)6 (6%)* 7 (7%)* 0

p < 0.05 study group vs. controls

p < 0.05 after the rehabilitation cycle (‘1’) vs. baseline (‘0’).

Knowledge of the basic rules for the prevention of cardiovascular diseases in both groups at baseline and after the education program p < 0.05 study group vs. controls p < 0.05 after the rehabilitation cycle (‘1’) vs. baseline (‘0’). At baseline, the knowledge of risk factors was similar in both groups, and the percentage of correct answers was 50 ±17% among the controls and 49 ±16% in the study group (p = 0.77) (Fig. 1 A), but it became statistically significantly better after the education cycle (52 ±17% among controls vs. 58 ±19% in the study group; p = 0.009) (Fig. 1 B) and remained better during the 3-month follow-up (56 ±19% among controls vs. 64 ±19% in the study group) (Fig. 1 C). The largest improvement in risk factor awareness (by over 60%) was noted with regard to the associations between cardiovascular diseases and male gender, fat consumption, lack of physical activity, family history of stroke, and low HDL concentration (Tab. IV). Even after the education cycle, some of the patients were unable to answer whether osteoporosis, depression, and tall height are associated with cardiovascular diseases.
Fig. 1

Knowledge about cardiovascular risk factors. Percentages of correct questionnaire answers: baseline (A), after education (B), and after a 3-month follow-up (C)

Tab. IV

Influence of the education program on patient awareness with regard to specific cardiovascular risk factors

Is the factor a cardiovascular risk factor?Correct answers
BaselineAfter education3-month follow-up
Excess body mass93 (93%)93 (93%)13 (100%)
Older age42 (42%)45 (45%)8 (62%)
Osteoporosis35 (35%)31 (31%)6 (46%)
Male gender18 (18%)29 (29%)5 (38%)
Tall height44 (44%)38 (38%)8 (62%)
Consuming vegetable fats25 (25%)41 (41%)6 (46%)
Arterial hypertension77 (77%)88 (88%)13 (100%)
Physical exercise27 (27%)54 (54%)8 (62%)
Cigarette smoking92 (92%)93 (93%)12 (92%)
Pipe smoking70 (70%)76 (76%)10 (77%)
Diabetes69 (69%)75 (75%)7 (54%)
Ulcer disease28 (28%)37 (37%)6 (46%)
High cholesterol concentration76 (76%)83 (83%)11 (85%)
Low HDL cholesterol concentration17 (17%)30 (30%)3 (23%)
Chronic stress74 (74%)82 (82%)12 (92%)
Symptoms of depression8 (8%)11 (11%)0
Environmental pollution35 (35%)49 (49%)8 (62%)
Family history of heart disease69 (69%)77 (77%)13 (100%)
Lack of physical activity64 (64%)81 (81%)11 (85%)
Family history of stroke22 (22%)44 (44%)6 (46%)
Influence of the education program on patient awareness with regard to specific cardiovascular risk factors Knowledge about cardiovascular risk factors. Percentages of correct questionnaire answers: baseline (A), after education (B), and after a 3-month follow-up (C)

Discussion

Many studies document the lack of a significant relationship between being burdened with cardiovascular risk and being aware of the danger it poses or the ways in which it can be limited by controlling the modifiable determinants [14, 17, 18]. The issue is particularly relevant in individuals after acute coronary syndrome treated with transcutaneous interventions. The disease and its consequences (sudden death, heart failure, cardiac dysrhythmias, etc.) are often underestimated by the patients as the provided treatment is quick, safe, and effective [19, 20]. Some patients equate the abatement of angina symptoms with being cured, which can make counseling concerning secondary prevention (pharmacological and non-pharmacological) especially challenging. In the meantime, over half of coronary patients are burdened with several risk factors, mostly excessive body mass, hypertension, dyslipidemia, tobacco addiction, abnormal carbohydrate tolerance, or metabolic syndrome [19]. Therefore, various interventions are undertaken to promote cardiovascular risk awareness, which is only the first step but a key one in improving prevention. This includes cardiac rehabilitation, educational training in the work environment at basic and specialist healthcare facilities, as well as community programs and media campaigns addressed to patients and their families. As the effectiveness of these actions remains varied [21-26], the search for better solutions continues. Our project has demonstrated that extending the education program provided during in-hospital CCR improves the knowledge of cardiovascular risk factors by as much as 20%, a benefit which may persist for several weeks after discharge (although our ability to draw conclusions in this regard was rather limited by the low participation rate). Most improvement was noted with regard to the best known risk factors (gender, diet, physical activity, family history), which probably means that the training cycle helped the patients remember the knowledge that they had previously acquired and forgotten. These observations are in line with reports both from Poland and abroad. Even standard education provided during CCR improves patient awareness significantly, as demonstrated by Deskur-Śmielecka et al. The researchers noted the largest improvement with regard to selected elements of diet, the knowledge of one’s own arterial pressure, and the knowledge of the recommended arterial pressure values. The effect is usually long-lasting and persists for several months after the rehabilitation [12, 15], especially with regard to tobacco addiction, dietary recommendations, and physical activity. The effect of longer and more comprehensive education programs can be several times better [27, 28]. The present study has a few limitations. Firstly, the project was conducted at a single center, with limited options to extrapolate the results to other populations. Secondly, it cannot be excluded that individuals participating in in-hospital rehabilitation are characterized by completely different levels of knowledge and approach to education than individuals undergoing out-patient rehabilitation; therefore, the results in the latter group could be completely different. Thirdly, our statistical analysis did not include the role of confounders such as education, occupational status, socio-economic profile, or psychological factors, which can influence the self-awareness of patients or their willingness to improve their knowledge (e.g., women, individuals with higher education, and individuals free from depression are typically more willing to learn). Finally, the project was innovative and authorial despite being based on generally known recommendations. It was not, however, individualized, i.e., customized to the cognitive and intellectual levels of each participant and to their individual cardiovascular risk. In the meantime, it has been demonstrated that standard programs addressed to the general population of patients undergoing rehabilitation should be replaced with individualized programs including counseling for specific patients. Even if the training is shorter, the patients will benefit more from education focusing specifically on how they can control the modifiable factors, and the effect will be longer lasting.

Conclusions

The extended health education program conducted during a cycle of in-hospital rehabilitation significantly improved the knowledge of cardiovascular risk factors among patients treated with transcutaneous interventions after acute coronary incidents.
Name and surname:……………………………………………………………………………
Body mass:…………………… kgI don’t know □
Height:…………………… kgI don’t know □
Primary or occupational…………………………………………………….
Secondary…………………………………………………………………………..
Post-secondary…………………………………………………………………..
Incomplete higher education or B.A………………………………….
Higher………………………………………………………………………………..
YesNo
Cholesterol………………………………………………………..
Blood glucose (sugar)………………………………………
Arterial pressure……………………………………………….
YesNo
“Bad” cholesterol
“Good” cholesterol
YesNoI don’t know
• Overweight……………………………………….
• Older age……………………………………………
• Osteoporosis……………………………………..
• Male gender………………………………………
• Tall height………………………………………….
• Consuming vegetable fats………………..
• Arterial hypertension………………………..
• Physical work…………………………………….
• Cigarette smoking…………………………….
• Pipe smoking…………………………………….
• Diabetes…………………………………………….
• Ulcer disease……………………………………..
• High cholesterol………………………………..
• Low hdl cholesterol…………………………..
• Chronic stress……………………………………
• Frequent depression…………………………
• Environmental pollution………………….
• Family history of heart disease………..
• Lack of physical activity……………………
• Family history of stroke……………………
  25 in total

1.  [Awareness of guidelines for cardiovascular disease prevention among the adult population in Poland. Results of the WOBASZ program].

Authors:  Wojciech Bielecki; Krystyna Kaczmarczyk-Chałas; Aleksandra Piwońska; Krystyna Kozakiewicz; Jerzy Głuszek; Urszula Biela; Tomasz Zdrojewski; Walerian Piotrowski
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2.  [Optimal model of comprehensive rehabilitation and secondary prevention].

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Journal:  Kardiol Pol       Date:  2013       Impact factor: 3.108

3.  Choice of secondary prevention improves risk factors after acute coronary syndrome: 1-year follow-up of the CHOICE (Choice of Health Options In prevention of Cardiovascular Events) randomised controlled trial.

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4.  Is Knowledge Level of Coronary Heart Disease and Risk Factors Among Post-Percutaneous Coronary Intervention Patients Adequate?

Authors:  Mary T Nolan; Gabrielle McKee
Journal:  J Cardiovasc Nurs       Date:  2016 May-Jun       Impact factor: 2.083

5.  [Knowledge of cardiovascular risk factors and recommended lifestyle modifications in patients after an acute coronary syndrome. The influence of short-term, stationary rehabilitation. Preliminary results].

Authors:  Ewa Deskur-Smielecka; Sławomira Borowicz-Bieńkowska; Izabela Przywarska; Aleksandra Brychcy; Piotr Dylewicz
Journal:  Kardiol Pol       Date:  2008-02       Impact factor: 3.108

Review 6.  Exercise-based cardiac rehabilitation for coronary heart disease.

Authors:  Lindsey Anderson; David R Thompson; Neil Oldridge; Ann-Dorthe Zwisler; Karen Rees; Nicole Martin; Rod S Taylor
Journal:  Cochrane Database Syst Rev       Date:  2016-01-05

7.  Time Trends in Lifestyle, Risk Factor Control, and Use of Evidence-Based Medications in Patients With Coronary Heart Disease in Europe: Results From 3 EUROASPIRE Surveys, 1999-2013.

Authors:  Kornelia Kotseva; Dirk De Bacquer; Catriona Jennings; Viveca Gyberg; Guy De Backer; Lars Rydén; Philippe Amouyel; Jan Bruthans; Renata Cifkova; Jaap W Deckers; Johan De Sutter; Zlatko Fraz; Ian Graham; Irena Keber; Seppo Lehto; David Moore; Andrzej Pajak; David Wood
Journal:  Glob Heart       Date:  2016-03-16

8.  Awareness of risk factors for coronary heart disease following interventional cardiology procedures: a key concern for nursing practice.

Authors:  Ritin S Fernandez; Yenna Salamonson; Rhonda Griffiths; Craig Juergens; Patricia Davidson
Journal:  Int J Nurs Pract       Date:  2008-12       Impact factor: 2.066

9.  Study of Patient Information after percutaneous Coronary Intervention (SPICI): should prevention programmes become more effective?

Authors:  Joep Perk; Kristina Hambraeus; Gunilla Burell; Roland Carlsson; Pelle Johansson; Jan Lisspers
Journal:  EuroIntervention       Date:  2015-03-22       Impact factor: 6.534

10.  Evaluation of medical and health economic effectiveness of non-pharmacological secondary prevention of coronary heart disease.

Authors:  Falk Müller-Riemenschneider; Kathrin Damm; Charlotte Meinhard; Angelina Bockelbrink; Christoph Vauth; Stefan N Willich; Wolfgang Greiner
Journal:  GMS Health Technol Assess       Date:  2009-12-14
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