Predictor of Self-Management of Coronary Heart
Patients at TK II Iskandar Muda Hospital Banda Aceh
Nisa Winanda1*,
Nurjannah2, Safrizal Rahman3, Said Usman4, T.Maulana5
Universitas Syiah Kuala, Banda Aceh, Indonesia1,2,3,4,5
Email: nisawienanda@gmail.com
KEYWORDS |
ABSTRACT |
Predictor,
Self Management, CHD Sufferers |
Coronary heart
disease (CHD) is characterized by blockage of the blood vessels around the
heart caused by arteriosclerosis. Cardiovascular disease is one of the main
causes of death cases in the world. Patients with coronary heart disease
(CHD) due to blockage of blood vessels in the heart need to do self-management
to find out Predictors of self-management of coronary heart patients at Tk II
Iskandar Muda Hospital, Banda Aceh. Research The type of research is
observational using the Cross-sectional. The population is patients with
coronary heart disease who visit the Cardiology Polyclinic of Kindergarten II
Iskandar Muda Hospital Banda Aceh. Sampling using accidental sampling. Data
analysis includes univariate, bivariate, and multivariate with the help of
computer devices. Not There is an influence of age on self-management of
coronary heart patients at Tk II Iskandar Muda Hospital Banda Aceh
(p>0.05), availability influence of gender, distance of residence,
knowledge, length of suffering from diseases, living conditions,
environmental support, and family support for self-management of coronary
heart patients at Tk II Iskandar Muda Hospital Banda Aceh (p<0.05). The
predictor that most affect self-management in patients with coronary heart
disease is gender (Exp(B) 38,485. Gender and family support are the most
influential predictors of self-management of CHD patients. |
DOI: |
|
Corresponding Author: Nisa Winanda *
Email: nisawienanda@gmail.com
INTRODUCTION
Coronary heart disease (CHD) is
characterized by blockage of the blood vessels around the heart caused by
arteriosclerosis. Cardiovascular disease is one of the main causes of death
cases in the world
The main risk factors for this disease are
high blood pressure, smoking, not ideal weight, foods that have high
cholesterol levels, and also lack of exercise. CHD causes approximately 17.7
million deaths and is one of the largest causes of death cases in the world
according to WHO data. The incidence of deaths from cardiovascular diseases
around Southeast Asia is estimated to reach 3.5 million people and around 52%
of the total number is caused by myocardial infarction for Indonesia there are
1.25 million deaths due to coronary heart disease out of a total population of
250 million people.
WHO says that every year deaths due to
cardiovascular diseases reach more than 17.8 million. Meanwhile, according to data
from the Indonesian Ministry of Health in 2023 Indonesia will reach 650 deaths
due to this disease. 000 inhabitants per year. In the research study conducted,
by the ARIC Community Surveillance Study, from 1995 to 2014, 28,732 patients were
diagnosed with Acute Myocardial Infarction and treated at four facilities in
the United States, it is known that as many as 8,737 (30%) patients with
Myocardial Infarction studied are still young, namely 35-54 years old. There
was an increase in the proportion of young IMA in 2010-2014 by 32%, when
compared to 19995-1999 IMA at a young age of 27%. (P= 0.002), and the most
common occurred at a young age in the female gender.
Based on data from the World Health
Organization (WHO) in December 2023, 85% of deaths in the world are caused by
strokes and heart attacks, which are more likely to occur in men > 45 years
old and women > 50 years old. Data from the Indonesian Ministry of Health
from September to December 2023 Cardiovascular diseases result in deaths
reaching 651,481 people per year, consisting of 331,349 deaths due to stroke,
245,343 deaths from coronary heart, 50,620 deaths due to hypertension, and
other cardiovascular diseases. One of the things that a person with coronary
heart disease must pay attention to is self-management. Self-management in
patients with coronary heart disease (CHD) has a very important role in
optimizing their health and quality of life. People with CHD need to be
actively involved in managing their health conditions by adopting a healthy
lifestyle, monitoring risk factors such as blood pressure and cholesterol
levels, and maintaining adherence to predetermined treatment plans.
Through targeted lifestyle changes, such as
a balanced diet and regular exercise, people with CHD can control health risk
factors such as diabetes, high blood pressure, and being overweight
Among the factors related to the
self-management of CHD sufferers are individual factors including age and
education. Self-management Heart disease involves the
active role of the individual in caring for himself, and age and gender can
affect this process. As we age, the body tends to experience a decline in
functions, including heart function, which can make heart disease management
more complex.
Residences, both urban and rural, have a
potentially significant impact on lifestyles, access to health services, and
the availability of resources that support self-management. Empirical research
shows that living in urban areas can provide certain advantages for people with
CHD in terms of self-management. Urban areas often have better access to health
facilities, such as hospitals, cardiac rehabilitation centers, and community
health care centers. This accessibility can facilitate the participation of people
with CHD in cardiac rehabilitation programs, obtain relevant health
information, and get easier medical support.
Scientific research on the influence of
housing on the self-management of people with CHD can provide the necessary
insights for policy designers to create an environment that supports disease
management. This includes providing access to health facilities, sports
facilities, and green open spaces in urban areas. In rural areas, a more
focused approach to strengthening health services and the formation of
communities that support self-management also needs to be considered.
Living conditions involve a number of
variables, including housing type, social environment, and accessibility to
health resources, all of which can have a significant impact on the success of
self-management of people with CHD. An important aspect of Living conditions is
the type of housing where people with CHD live. A home that is friendly to
health conditions, for example, can provide an environment that supports the
adoption of healthy behaviors. People with CHD who live at home with good
accessibility, including heart-healthy bathing facilities, may be better able
to adhere to their self-care routines. Conversely, less supportive housing
conditions, such as steep stairs or the availability of unhealthy food around
the house, can be an obstacle to effective self-management
Another factor that is suspected to be a
predictor of patient self-management is the length of time suffering from the disease. The length of suffering from coronary heart
disease can affect the patient's self-management strategy. Patients who have
suffered from the disease for a long time may develop a deeper understanding of
the symptoms and associated risks, allowing them to better adapt to the
necessary lifestyle changes. However, over time, patients can also experience
physical and mental fatigue, which can affect consistency in carrying out a
self-management plan. Therefore, the self-management approach in coronary heart
disease patients must take into account the variability of experiences and
needs that may change over time, so as to provide appropriate support to
improve their quality of life.
The research objectives have been clearly
stated, but the benefits and implications of the research have not been clearly
explained. Other critical factors influencing the self-management of
individuals with heart disease include family and environmental support. Family
support contributes significantly by providing motivation, emotional backing,
and active participation in adopting healthier lifestyles. Moreover, families
play a pivotal role in stress management, reinforcing adherence to
self-management strategies, and serving as collaborative partners throughout
the treatment process. Meanwhile, environmental support encompasses accessible
healthcare facilities, promoting conducive physical environments, and
delivering essential educational resources. Improving access to healthcare,
fostering healthier surroundings, and enhancing knowledge about managing heart
disease can profoundly empower patients in their self-care efforts.
METHOD
This research is a Cross
sectional study to find out the predictors of Self-management coronary
heart patients at Kindergarten II Iskandar Muda Hospital Banda Aceh. This study
was carried out at Kindergarten II Hospital Iskandar Muda Banda Aceh. The
population in this study was patients with Coronary Heart
Disease who visited the Cardiology Polyclinic of Kindergarten II
Hospital Iskandar Muda Banda Aceh. Sampling using accidental sampling namely
CHD patients who went to Kesdam Hospital in March 2024 and 234 CHD patients
were selected. Data analysis includes univariate, bivariate, and multivariate
analysis.
RESULT AND DISCUSSION
Characteristics
of Respondents
The characteristics of the observed respondents include age, gender,
education, occupation, and marital status, in full in Table 4.1 below:
Table 1.
Distribution of Frequency of Age, Gender,
Education, Occupation, and Marital Status at Iskandar Muda Kindergarten II
Hospital Banda Aceh
Characteristic |
Category |
Sum |
|
f |
% |
||
Age |
Adult |
184 |
78,6 |
Elderly |
50 |
21,4 |
|
Gender |
Man |
91 |
38,9 |
Woman |
143 |
61,1 |
|
Education |
Intermediate |
158 |
67,5 |
Tall |
76 |
32,5 |
|
Work |
Teacher |
5 |
2,1 |
IRT |
19 |
8,1 |
|
Student |
44 |
18,8 |
|
Freelancer |
40 |
17,1 |
|
Pensioner |
50 |
21,4 |
|
Farmer |
12 |
5,1 |
|
Civil servants |
64 |
27,4 |
|
Marital Status |
Unmarried |
34 |
14,5 |
Divorce |
44 |
18,8 |
|
marry |
156 |
66,7 |
Source: Data processed (2024)
Based on Table 1, it can be seen that in terms of age,
the majority of respondents are classified as adults (78.6%), with most of the
sample being female (61.1%). In terms of education, the majority of respondents
have secondary education (67.5%), most of them work as civil servants (27.4%)
and students (18.8%). The marriage status of the respondents showed that the
majority of them were married (66.7%).
Univariate
Analysis
The following are
the results of the full univariate data analysis:
Table 2.
Respondent Frequency Distribution Based on
Distance to health services, living conditions, knowledge, length of suffering,
family support, Environmental support, history of illness and insurance
ownership and self-management.
Variable
|
Sum |
|
f |
% |
|
Distance from Health Services |
||
Far |
121 |
51,7 |
Near |
113 |
48,3 |
Housing Conditions |
||
Living Alone |
35 |
15,0 |
Living with
family, children or other family members |
199 |
85,0 |
Knowledge |
||
Not Good |
103 |
44,0 |
Good |
131 |
56,0 |
Long Suffering |
||
New |
100 |
42,7 |
Old |
134 |
57,3 |
Family Support |
||
Less Support |
141 |
60,3 |
Support |
93 |
39,7 |
Environmental Support |
||
Less Support |
149 |
63,7 |
Support |
85 |
36,3 |
History of
Hypertension |
||
Yes |
49 |
20,9 |
Not |
185 |
79,1 |
History of Diabetes |
||
Yes |
160 |
68,4 |
Not |
74 |
31,6 |
Insurance |
||
BPJS |
174 |
74,4 |
Self-sufficient |
60 |
25,6 |
Self-Management |
Sum |
|
Not Good |
145 |
62,0 |
Good |
89 |
38,0 |
Source: Data processed (2024)
Table 2 shows that in the variable of
distance from health services, the majority of respondents (51.7%) reported
that they get health services from far away. Then, regarding housing
conditions, most respondents (85.0%) live with family, children, or other
family members. Meanwhile, in terms of Knowledge, 56.0% of respondents have
good knowledge. Furthermore, in terms of suffering from the disease for a long
time, most respondents (57.3%) have suffered from the condition for a long
period of time. Support from family is also quite significant, with 60.3% of
respondents feeling that they do not receive adequate support. Based on the
variable Environmental support, the majority of respondents (63.7%) also felt
that they lacked support from their surrounding environment. Then, related to
diabetes history, the majority of respondents (68.4%) had a history of diabetes.
And finally, in terms of Insurance, the majority of respondents (74.4%) have
insurance through BPJS.
Bivariate Analysis
The results of data processing are as follows:
Table 3.
Relationship of Age,
Gender, Education, Knowledge and Length of Suffering from Distance Illness,
Living Conditions, Family Support, Environmental Support With
Self-Management of Coronary Heart Disease Patients at Tk II Iskandar Muda
Hospital Banda Aceh
Variable |
Self-Management |
Total |
P value (χ2)a |
OR 95% CI |
|
||||||||
Good |
Not good |
|
|
|
|||||||||
n |
% |
n |
% |
||||||||||
Age Adult Elderly |
69 20 |
37,5 20,0 |
115 30 |
62,5 60 |
184 50 |
0,874 |
1,11 (0,58-2,10) |
||||||
Gender Man Woman |
35 54 |
24,5 59,3 |
108 37 |
75,5 59,3 |
143 91 |
0,000 |
4,50 (2,55-7,93) |
||||||
Education Intermediate Tall |
81 8 |
51,3 10,5 |
77 68 |
48,7 89,5 |
158 76 |
0,000 |
0,11 (0,05-0,48) |
||||||
Knowledge Not Good Good |
7 82 |
6,8 62,6 |
96 29 |
93,2 37,4 |
103 131 |
0,000 |
22,95 (9,85-53,42) |
||||||
Long
suffering New Old |
71 18 |
71,0 13,4 |
29 116 |
29,0 86,6 |
100 134 |
0,000 |
0,06 (0,03-0,12) |
||||||
Distance Far Near |
57 32 |
47,1 28,3 |
64 81 |
52,9 71,7 |
121 113 |
0,003 |
0,44 (0,25-0,76) |
||||||
Living
conditions Living with family Living alone |
55 34 |
27,6 97,1 |
144 1 |
72,4 2,9 |
199 35 |
0,000 |
89,01 (11,89-666,16) |
||||||
Family
support Less Support Support |
15 74 |
10,6 79,6 |
126 19 |
89,4 20,4 |
141 93 |
0,000 |
32,17 (15,68-68,24) |
||||||
Environmental
Support Less Support support |
25 64 |
16,8 75,3 |
124 21 |
83,2 24,7 |
149 85 |
0,000 |
15,11 (7,86-25,05) |
||||||
aTest Pearson Chi
Square (χ2) due to categorical data
Based on Table 3
in this study, it can be concluded that there are several factors that affect
the self-management of coronary heart disease patients. The factor that did not
have a significant effect was age, where there was no significant difference in
self-management between the adult and elderly age groups. Meanwhile, the
factors that have a significant influence are gender, where men have a 4.5
times greater chance of having good self-management than women. Education also
influenced, where respondents with secondary education had a 0.11 times greater
chance of having good self-management compared to respondents with higher
education.
Knowledge is
another influential factor, where respondents with poor knowledge have a 22.95
times greater chance of having good self-management compared to respondents
with good knowledge. Long-term illness also had an effect, where respondents
who had recently suffered from the disease had a 16.67 times higher chance of
having good self-management compared to respondents who had suffered from the
disease for a long time. The distance of residence from health facilities also
affects, where respondents who live close to health facilities have a 2.27
times higher chance of having good self-management compared to respondents who
live far from health facilities. Housing conditions also played a role, where
respondents who lived alone had an 8,901 times higher chance of having good
self-management compared to respondents who lived with family.
Another factor
is family and environmental support. Respondents who received less family
support had a 3,217 times higher chance of having good self-management compared
to respondents who received family support. Meanwhile, respondents who received
less environmental support had a 1,511 times higher chance of having good
self-management compared to respondents who received environmental support.
Multivariate Analysis of Logistic Regression Test
Inferential
statistical analysis in the study uses logistic regression analysis. In this
study, the dependent variable is dichotomous, so the test of the hypothesis is
carried out using a logistic regression test. The results of the multivariate
analysis can be seen in Table 4.
Table 4.
The Most Dominant Factors
in Self-Management of CHD Patients
Variable |
Model 1 AOR (95% CI) |
Model 2 AOR (95% CI) |
Model 3 AOR (95% CI) |
Age |
` |
|
|
Adult |
0,52
(0,19-1,42) |
|
0,64
(1,44-2,90) |
Elderly |
1 |
|
1 |
Gender |
|
|
|
Man |
22,33
(6,66-74,80 |
|
35,30
(7,70-161,66) |
Woman |
1 |
|
1 |
Education |
|
|
|
Intermediate |
0,06 (0,01-0,22) |
|
1,51
(0,01-165,88) |
Tall |
1 |
|
1 |
Knowledge |
|
|
|
Less |
28,67
(7,26-113,17) |
|
15,90
(2,99-84,51) |
Good |
1 |
|
1 |
Variable |
Model 1 AOR (95% CI) |
Model 2 AOR (95% CI) |
Model 3 AOR (95% CI) |
Long
suffering |
|
|
|
New |
0,14
(0,5 5-0,36) |
|
0,18 (0,05-0,66) |
Old |
1 |
|
1 |
Distance |
|
|
|
Near |
|
0,91
(0,39-2,09) |
1,15
(0,34-3,82,) |
Far |
|
1 |
1 |
Living conditions |
|
|
|
Alone |
|
2,02
(0,50-1,18) |
0,06
(0,00-2,86) |
Family |
|
1 |
1 |
Family
Support |
|
|
|
Less
supportive |
|
28,20
(5,33-148,98) |
28,48
(2,72-298,30) |
Support |
|
1 |
1 |
Environmental
Support |
|
|
|
Less
supportive |
|
0,83
(0,15,4,51) |
1,02
(0,34-3,82) |
Support |
|
1 |
1 |
R2 |
0,708 |
0,638 |
0,820 |
Source: Primary Data,
Processed in 2024
Based on the
analysis of table 4 about the most dominant factors in the self-management of
people with coronary heart disease (CHD), it can be concluded that there are
several main variables that affect the self-management of people with CHD.
Overall, the most dominant variables were gender, knowledge, and family
support. Male patients have a much higher risk of having poor self-management
compared to female patients. This can be seen from models 1 and 3, which show a
risk of 22.33 times and 35.30 times higher in male patients. In addition, the
patient's knowledge is also a very important factor. Patients with less
knowledge had 28.67 times (model 1) and 15.90 times (model 3) higher risk of
having poor self-management compared to patients with good knowledge.
Family support
is also a dominant factor in the self-management of people with CHD. Patients
with poor family support had a 28.20 times higher risk (model 2) and 28.48
times (model 3) of poor self-management compared to patients who received
family support.
Other factors
such as education, length of suffering, and distance of residence also showed
significant influences, although not as strong as gender, knowledge, and family
support. Overall, efforts to improve self-management of people with CHD must
focus on increasing knowledge, providing strong family support, and paying
attention to gender differences in self-management approaches.
1. The Relationship
between Age and Self-Management of Patients with Coronary Heart Disease
The results showed that there was no
significant relationship between the age variable and self-management in
patients with coronary heart disease, with a p-value of more than 0.05 (p =
0.874). This indicates that the age factor does not significantly affect the
level of self-management in patients with coronary heart disease. Although
there was a slight variation in the proportion of self-management among age
groups, the difference was not considered statistically significant
The results of this study are not linear
with the research conducted by Muaffikah, which concludes that there is a
relationship between the characteristics of Age with self-management (p-value
=0.031). Although some studies suggest that self-management tends to improve
with age, there is also evidence suggesting significant individual differences
in age-responsive responses. Some individuals may gain adequate experience and
skills in self-management as they age, while others may face new challenges or
changes in their health conditions
2. Gender Relationship
with Self-Management of Coronary Heart Disease Patients
The results showed that there was a
significant relationship between sex and self-management in patients with
coronary heart disease, with a p-value of less than 0.05 (p = 0.000). These
findings indicate that men tend to have a better level of self-management
compared to women in dealing with CHD conditions. This may be related to
differences in psychological and behavioral responses between the two sexes,
including differences in managing stress, adhering to medication, and adopting
a healthy lifestyle
The results of this study also provide a
deeper understanding of the role of gender in the self-management of patients
with coronary heart disease
The results of this study are in line with
the research by
3. The Relationship
between Living Distance and Self-Management of Coronary Heart Disease Patients
The results showed that there was a
significant relationship between residential distance and self-management in
patients with coronary heart disease, with a p-value of less than 0.05 (p =
0.003). The results of the study showed that there was a significant difference
in self-management between coronary heart disease patients who lived nearby and
those who lived far from healthcare centers. These findings provide important
insights into how accessibility to health services can affect an individual's
ability to manage their health conditions
On the other hand, patients who live far
from healthcare centers have a higher tendency to have good self-management.
This may be because those who live in remote or rural areas tend to develop
self-sufficient strategies for managing their health conditions, such as
relying on local resources or traditional knowledge in self-care
Previous research by
4. The Relationship
between Living Conditions and Self-Management of Coronary Heart Disease
Patients
The results showed that there was a
significant relationship between housing conditions and self-management, with a
p-value smaller than 0.05 (p = 0.000). The results of this study highlight
significant differences in self-management between people with coronary heart
disease (CHD) who live with family or other family members compared to those
who live alone
The results of this study are in line with
the findings of several previous studies that explored the relationship between
housing conditions and chronic disease management. For example, research by
5. The Relationship
between Education and Self-Management of Coronary Heart Disease Patients
The results showed that there was a
significant relationship between education and self-management in patients with
coronary heart disease, with a p-value of less than 0.05 (p = 0.000). The
results of this study illustrate a clear pattern between education levels and
self-management skills in coronary heart disease (CHD) patients. It was found
that most patients with higher education reported having good self-management,
while the proportion of those who had difficulty in self-management was very
low. This shows that a high level of education significantly contributes to the
patient's ability to manage their health condition
6. The Relationship of
Knowledge with Self-Management of Coronary Heart Disease Patients
The
results showed that there was a significant relationship between knowledge and
self-management, with a p-value smaller than 0.05 (p = 0.000). This study explores the relationship between
knowledge and self-management skills in people with certain diseases. The
findings showed that the majority of patients with good knowledge (93.2%)
reported having good self-management, while only a small percentage (6.8%)
admitted to having poor self-management. On the other hand, patients with poor
knowledge have the opposite proportion, where the majority (62.6%) have
difficulties in self-management. The results of the chi-square test showed that
there was a significant relationship between knowledge and self-management,
with a p-value smaller than 0.05 (p = 0.000).
Previous research has investigated the relationship between knowledge
and self-management in various chronic health conditions
7. Long-Term Relationship
with Suffering from Disease with Self-Management of Coronary Heart Disease
Patients
The
results showed that there was a significant relationship between the length of
suffering from the disease and self-management in patients with coronary heart
disease, with a p-value of less than 0.05 (p = 0.000). The findings from the
study show that there is a significant relationship between the length of
suffering from the disease and the ability to self-manage in CHD patients. The
results of the data analysis showed that the longer a person suffers from
coronary heart disease, the more likely it is that their ability to manage the
health condition will get better or worse.
8. The Relationship
between Family Support and Self-Management of Coronary Heart Disease Patients
The results showed that there was a
significant relationship between family support and self-management in patients
with coronary heart disease, with a p-value of less than 0.05 (p = 0.000). The
results of the study show the importance of family support in the management of
health conditions in patients with coronary heart disease (CHD). Statistical
analysis showed that there was a significant relationship between family
support and the self-management ability of CHD patients, with a p-value of less
than 0.05 (p = 0.000). These findings underscore the important role of the
family environment in supporting patients in managing their health conditions
9. The Relationship
between Environmental Support and Self-Management of Coronary Heart Disease
Patients
The results showed that there was a
significant relationship between environmental support and self-management in
patients with coronary heart disease, with a p-value of less than 0.05 (p =
0.000). The results of the study showed a significant relationship between
environmental support and self-management in patients with coronary heart
disease (CHD), with a p-value of less than 0.05 (p = 0.000), strengthening the
understanding of the importance of environmental factors in the management of
chronic health conditions. Environmental support, including support from
friends, co-workers, and the community, can have a significant impact on a
person's ability to overcome the challenges associated with CHD
CONCLUSION
No effect of age on self-management of
coronary heart patients at Tk II Iskandar Muda Hospital Banda Aceh (p>0.05).
There is an effect of gender on the self-management of coronary heart patients
at Tk II Iskandar Muda Hospital Banda Aceh (p<0.05). There is an effect of
distance of residence on the self-management of coronary heart patients at Tk
II Iskandar Muda Hospital Banda Aceh (p<0.05. There is an effect of
education on the self-management of coronary heart patients at Tk II Iskandar
Muda Hospital Banda Aceh (p<0.05). There is an influence of knowledge on the
self-management of coronary heart patients at Tk II Iskandar Muda Hospital
Banda Aceh (p<0.05). There is an effect of the length of suffering from the
disease on the self-management of coronary heart patients at Tk II Iskandar
Muda Hospital Banda Aceh (p<0.05. There is an effect of residence on the self-management
of coronary heart patients at Tk II Iskandar Muda Hospital Banda Aceh
(p<0.05). There is an effect of environmental support on the self-management
of coronary heart patients at Tk II Iskandar Muda Hospital Banda Aceh
(p<0.05. There was an effect of family support on the self-management of
coronary heart patients at Tk II Iskandar Muda Hospital Banda Aceh (p<0.05).
The predictor that most affect self-management in patients with coronary heart
disease is gender (Exp(B) 38,485
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