The aim of this study was to assess the quality of life associated with the health of patients with COPD.
MethodThe design of this study used a cross-sectional with convenience sampling method in 200 stable COPD patients, who had suffered COPD for more than 3 months but who did not have stage 3 or stage 4 chronic heart failure, at three Hospital in DKI Jakarta. Groups A to D were divided based on the COPD Assessment Test (CAT), the exacerbation category using the recommendation from GOLD, and the quality of life questionnaire using the St. George's Respiratory Questionnaire (SGRQ).
ResultsThe chi-square analysis showed that p=0.000 (p<0.05), indicating that there was a difference of proportion between Group A, Group B, Group C, and Group D, which means that there is relationship between the ABCD Groupings classification on the quality of life.
ConclusionsThis study shows that there is a relationship between severity using ABCD Groupings Classification and the quality of life for COPD patients.
According to the Global Initiative for Chronic Obstructive Pulmonary Disease (GOLD), chronic obstructive pulmonary disease (COPD) is a non-communicable disease of the respiratory tract. More than 3 million people died from COPD in 2012 and it accounted for 6% of all deaths worldwide. COPD is the fourth leading cause of death in the world but will develop into the third leading cause of death by 2020.1 The data in Indonesia, which is based on the Basic Health Research 2013 (Riskesdas), stated that the prevalence of COPD is 3.7% among those who are 55–75 years-old and that the incidence of this disease increases with increasing age more in men (4.2%) than women (3.3%). The rise of COPD prevalence in the foreseeable future is due to the increase of air pollution exposure and the number of elderly, which are risk factors for COPD.1 Thus, the prevention, early diagnosis, and correct handling of COPD around the world are needed.2
The assessment, handling, and treatment of COPD patients have recently been revised into Groups A–D according to the latest GOLD classification.3 In this classification, the symptoms are assessed through the COPD Assessment Test (CAT) score or by using a modified Research Council (mMRC) scale and evaluating the future risk of pure exacerbations based on the history of exacerbations.4 Because the main goal of treatment in COPD is to reduce the symptoms, frequency, and severity of exacerbations and to improve health status, it seems clear why this clinical assessment tool has been suggested. This classification also relates to quality of life in patients with COPD.5
Research conducted by Boland, Tsiachristas, Kruis, Chavannes, and Mölken (2014) in the Netherlands identified a strong relationship between the classification of the ABCD Groupings and the quality of life in patients with COPD. The results of this study indicated that patients in Group B, Group C, and Group D have a much worse quality of life than in Group A. In contrast, research conducted by Barusso et al. (2015) in Brazil identified that 49.3% of respondents in Group D had a good quality of life and was followed sequentially by Group B (41.8%), Group C (26.9%), and Group A (25.8%). Based on the research above it can be concluded that each ABCD classification group has a different quality of life.
Quality of life is an important indicator in the treatment of COPD patients. Thus, this cross-sectional study was conducted to provide data on the quality of life according to the latest ABCD grouping classification in three hospitals in Jakarta by using the St. George's Respiratory Questionnaire (SGRQ) instrument. This study is useful to identify the development or improvement of the quality of life in patients with COPD, which is one of the goals in nursing care.
MethodDesign and sampleThis study analyzed the relationship between the severity of symptoms, using the ABCD Groupings classification, and the quality of life of COPD patients. This was a quantitative study with a cross-sectional approach conducted on 200 COPD patients in Persahabatan Hospital, Budi Asih Hospital, and Pasar Minggu Hospital in Jakarta from May to June 2018. The sampling technique used was convenience sampling. The population of this study was those who have been diagnosed with COPD for at least 3 months, who were not experiencing severe physical discomfort, and who did not have grade III and IV heart diseases.
Data collection, ethical considerations, data analysisData collection was carried out after passing the ethical review at Universitas Indonesia and the chosen hospital authority. Written informed consent was obtained from the patients and data was collected by the researchers through filling out the questionnaire. The independent variables were the ABCD classification based on symptoms using the eight-question CAT and the history of exacerbations in the previous 12 months, including hospitalization, as described in GOLD 2017.1,6 The dependent variable was assessed using the SGRQ instrument by Jones, which contains 50 questions.7 The results of the validity and reliability test on the SGRQ instrument have been carried out in a previous study by Ika Setyo Rini in 2011. The study's statistical analysis was univariate and bivariate with a chi-square analysis.
ResultsThe majority were males (67.5%), married (71%), and attended elementary or junior high school (44%) [Table 1]. Findings of our study showed that the patients had a mean age of 61.76 years old, ranging from 22 to 84 years old [Table 2]. Their family earnings were 2 million rupiahs per month, with the lowest earning was 500 thousand rupiahs and the highest was 25 million rupiahs [Table 3]. Their BMI score was within normal range, both among female (30.8%) and male patients (43.7%) [Table 1].
Patients characteristics (n=200).
No. | Patients’ characteristic(s) | n | (%) |
---|---|---|---|
1 | Sex | ||
a. Male | 135 | 67.5 | |
b. Female | 65 | 32.5 | |
2 | Education | ||
a. No education | 11 | 5.5 | |
b. Elementary/junior high school | 88 | 44.0 | |
c. Senior high school | 65 | 32.5 | |
d. University | 36 | 18.0 | |
3 | Marital status | ||
a. Unmarried/Widowed/widowered | 58 | 29% | |
b. Married | 142 | 71% | |
4 | BMI by sex | ||
Females | |||
a. Underweight | 9 | 13.8 | |
b. Normal | 20 | 30.8 | |
c. Overweight | 19 | 29.2 | |
d. Obesity | 17 | 26.2 | |
Males | |||
a. Underweight | 30 | 22.2 | |
b. Normal | 59 | 43.7 | |
c. Overweight | 23 | 17.0 | |
5 | Comorbidities | ||
a. None | 89 | 44.5 | |
b. 1 comorbidity | 67 | 33.5 | |
c. >1 comorbidity | 44 | 22.0 | |
6 | Smoking habits | ||
a. Yes | 113 | 56.5 | |
b. No | 87 | 43.5 | |
7 | Number of cigarettes consumed | ||
a. ≥20 cigarettes per day | 48 | 42.5 | |
b. <20 cigarettes per day | 65 | 57.5 | |
8 | Types of cigarettes | ||
a. Filter | 64 | 56.6 | |
b. Non-filter | 49 | 43.4 | |
9 | Exacerbation history | ||
a. Yes | 66 | 33.0 | |
b. No | 134 | 67.0 | |
10 | Severity of dispneau | ||
a. Mild (Group A–B) | 45 | 22.5 | |
b. Moderate to severe (Groups C–D) | 155 | 77.5 |
On average, the patients had been diagnosed with COPD for 12 months [Table 3]. The majority had no comorbidities (44.5%) and had no exacerbation history (67%) [Table 4]. Nevertheless, more than three quarter experienced moderate to severe dyspnea (77.5%) [Table 4]. Over half were smokers (56.5%) of filter cigarettes (56.6%) with less than 20 cigarettes consumption per day [Table 4].
COPD severity classification by patients’ characteristics (n=200).
Patients’ characteristics | A | B | C | D | |||||
---|---|---|---|---|---|---|---|---|---|
n | % | n | % | n | % | n | % | ||
Sex | |||||||||
a | Male | 20 | 10.0 | 58 | 29.0 | 8 | 4.0 | 50 | 25.0 |
b | Female | 15 | 7.5 | 37 | 18.5 | 2 | 1.0 | 10 | 5.0 |
Education | |||||||||
No education | 0 | 0.0 | 5 | 2.5 | 0 | 0.0 | 7 | 3.5 | |
Elementary/junior high school | 13 | 6.5 | 36 | 18.0 | 27 | 13.5 | 27 | 13.5 | |
Senior high school | 15 | 7.5 | 28 | 14.0 | 20 | 10.0 | 20 | 10.0 | |
University | 7 | 3.5 | 26 | 13.0 | 6 | 3.0 | 6 | 3.0 | |
Marital status | |||||||||
Unmarried/Widowed/widowered | 8 | 4.0 | 27 | 13.5 | 2 | 1.0 | 19 | 9.5 | |
Married | 27 | 13.5 | 68 | 34.0 | 8 | 4.0 | 41 | 20.5 | |
BMI by sex | |||||||||
Females | |||||||||
a. Underweight | 1 | 1.6 | 4 | 6.3 | 0 | 0.0 | 3 | 4.7 | |
b. Normal | 4 | 6.3 | 11 | 17.2 | 1 | 1.6 | 4 | 6.3 | |
c. Overweight | 4 | 6.3 | 12 | 18.8 | 1 | 1.6 | 2 | 3.1 | |
d. Obesity | 6 | 9.4 | 10 | 15.6 | 0 | 0.0 | 1 | 1.6 | |
Males | |||||||||
a. Underweight | 1 | 0.7 | 14 | 10.3 | 1 | 0.7 | 17 | 12.5 | |
b. Normal | 12 | 8.8 | 20 | 14.7 | 5 | 3.7 | 22 | 16.2 | |
c. Overweight | 3 | 2.2 | 14 | 10.3 | 1 | 0.7 | 4 | 2.9 | |
d. Obesity | 4 | 2.9 | 10 | 7.4 | 1 | 0.7 | 7 | 5.1 | |
Comorbidities | |||||||||
No comorbidities | 13 | 6.5 | 39 | 19.5 | 6 | 3.0 | 25 | 12.5 | |
1 comorbidity | 12 | 6.0 | 34 | 17.0 | 3 | 1.5 | 21 | 10.5 | |
>1 comorbidities | 10 | 5.0 | 22 | 11.0 | 1 | 0.5 | 14 | 7.0 | |
Smoking habits | |||||||||
Yes | 14 | 7.0 | 46 | 23.0 | 8 | 4.0 | 47 | 23.5 | |
No | 21 | 10.5 | 49 | 24.5 | 2 | 1.0 | 13 | 6.5 | |
Exacerbation history | |||||||||
Yes | 35 | 17.5 | 95 | 47.5 | 0 | 0.0 | 0 | 0.0 | |
No | 0 | 0.0 | 0 | 0.0 | 10 | 5.0 | 60 | 30.0 | |
Severity of dispneau | |||||||||
Mild (Groups A–B) | 35 | 17.5 | 95 | 47.5 | 10 | 5.0 | 0 | 0.0 | |
Moderate to severe (Groups C–D) | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | 60 | 30.0 |
As shown in Table 5 COPD severity classification by patients’ characteristics using grouping ABCD. The relationship analysis of the severity of symptoms using the ABCD Groupings Classification and the quality of life showed that, of the 200 respondents, 35 people from Group A (21.9%), 76 from Group B (47.5%), 10 from Group C (6.3%), and 39 from Group D (24.4%) had a good quality of life [Table 6]. The chi-square analysis gave a p=0.000 (p<0.05), so it can be concluded that there is a proportional difference between Group A, Group B, Group C, and Group D [Table 6]. In other words, there is a significant relationship between the ABCD Groupings classification and quality of life.
COPD severity classification by patients’ characteristics (n=200).
Patients’ characteristics | A | B | C | D | ||||
---|---|---|---|---|---|---|---|---|
Mean | CI95% | Mean | CI95% | Mean | CI95% | Mean | CI95% | |
Age | 58.9 (22–77) | 54.7–63.08 | 61.44 (36–84) | 59.57–63.31 | 63.3 (43–78) | 55.5–71.02 | 63.50 (45–86) | 61.35–66.18 |
Length of diagnosis | 11 months (3–120) | 10.11–26.35 | 12 months (3–216) | 17.52–31.97 | 16.30 months (3–36) | 7.59–25.01 | 17 months (3–276) | 25.21–51.45 |
Family income | IDR 3 million (IDR 500,000–25 million) | IDR 2,158,514.04–5,812,914.53 | IDR 2,500,000 (IDR 500,000–25 million) | IDR 2,512,742.73–4,209,362.53 | IDR 2,450,000 (IDR 1 million–6 million) | IDR 1,338,571.80–3,561,428.20 | IDR 2 million (IDR 500,000–2 million) | IDR 1,597,307.11–2,999,359.56 |
In this study, the average age of respondents was 61.79, or about 62 years old. This study was in line with Yoon et al., which looked at the prevalence of COPD in Korea, where 13.4% of the population was over 40 years old.2 Aging increases the risk of COPD.1 This occurs because lung function in old age decreases due to the reduced elasticity of lung tissue and a diminished chest wall. In old age, there is also a decrease in respiratory muscle contraction. The prevalence of COPD in men was greater than in female smokers (47.5% versus 1.1%).8 A study of 11,738 individuals found that the prevalence of COPD in men was 84.4%, which corresponded to the results of this study that showed that men were more likely to suffer from COPD.9
The results showed that the majority of COPD respondents were less educated (elementary and junior high school), namely 84 people (42%); the prevalence of COPD in individuals with low levels of education occurred because the level of one's education affects their knowledge of the dangers of smoking to their health.9
The risk of developing COPD is inversely proportional to socioeconomic status. However, it is unclear whether this result was due to exposure to indoor and outdoor air pollutants, overcrowding, malnutrition, infection, or other factors related to low social and economic status.1 Whereas according to COPD if it is associated with poverty, the prevalence is much greater in lower socio-economic groups. Factors associated with poverty include poor diet, humid housing, and more frequent infections10; this result is consistent with this study which found that, of the 220 respondents, the average income of COPD patients was IDR 2,000,000, which is below the DKI Jakarta Daily Minimum Wage of IDR 3,648,035.82.11
The results showed that the majority of respondents did not have comorbidities (83 people, 41.5%), 70 (35%) had one comorbid disease, and 47 (23/5%) had more than one comorbid disease. It can be concluded that the number of respondents with COPD who have more comorbidities is greater than those who do not have comorbidities. In patients with COPD, comorbidity has a high prevalence and at least one comorbidity in the COPD population is often reported to be more than 50%.12 Comorbidities in patients with COPD include chronic diseases such as atherosclerosis, chronic heart failure, lung cancer, osteoporosis, depression, and others. There are several explanations for why comorbidity is common in patients with COPD, such as older age, physical activity, or shared risk factors (such as smoking or systemic inflammation).
The results showed that the majority of respondents had a smoking habit (115 people, 57.5%), which has become the main risk factor for COPD. Worldwide, the most common risk factor for COPD is smoking tobacco. Tobacco smokers are reported to correspond to 90% of all COPD.13 A lot of evidence suggests that the prevalence of COPD worldwide has never been as high as 25–45% of smokers worldwide with other risk factors.14 The number of COPD patients who smoke is caused by mucus hypersecretion and chronic airway obstruction. The more cigarettes a person smokes and the longer the time spent as a smoker lead to a greater risk of developing COPD.
The relationship analysis of the severity of symptoms using the ABCD Groupings classification and the quality of life shows that 35 respondents in Group A (21.9%) have a good quality of life, 76 respondents (47.5%) in Group B, 10 respondents (6.3%) in Group C, and 39 respondents (24.4%) in Group D. This result is not consistent with research conducted by Boland et al. (2014) in the Netherlands,4 which identified patients in Group B, Group C, and Group D as having much worse quality of life than those in Group A. This study was corroborated by research conducted by6 in Brazil, which identified that respondents in Group D had a good quality of life (49.3%), followed sequentially by Group B (41.8%), Group C (26.9%), and Group A (25.8%).
The differences in quality of life in Groups A, B, C, and D occur because the majority of respondents have mild exacerbations (Group A and most of Group B). Patients who experience severe exacerbations will have a decreased quality of life. Exacerbations will cause disruption in their ability to carry out activities and can reduce work productivity.15 Because treatment and care for COPD patients are palliative, the main treatment interventions are aimed at improving the quality of life; the concept of quality of life, therefore, is a major factor in the context of COPD because it has an impact on the lives of patients.16 The quality of life of patients with COPD is associated with some factors, such as disease symptoms,17 psychological factors,18 disease severity, exacerbations,19 and the presence of co-morbidities.20,21
The results of the chi-square obtained p=0.000 (p<0.05) demonstrates that there is a significant relationship between the ABCD Groupings classification and quality of life in this study and it is in accordance with research conducted in the Netherlands4 with p<0.001. This classification can be used in the application of non-pharmacological therapies in COPD patients. The treatment that can be given by a professional nurse includes pulmonary rehabilitation with physical activity to strengthen muscles, breathing exercises, and exercise tolerance in stable patients and self-management, such as education involving other health teams related to the disease, treatment, and the use of bronchodilator devices. Palliative care works with other health teams in reducing the patients’ suffering, improving the quality of life, and facilitating the end of life care.1
The results of this study indicate there is a relationship between the severity of COPD, using the ABCD Grouping classification, and the quality of life of COPD patients. Based on this research, it is expected that nurses can apply comprehensive nursing care according to the symptoms and history of exacerbations.
The ABCD Groupings classification has a strong correlation with the patients’ quality of life, so that it is hoped that using this classification can improve the quality of life of COPD patients and can provide nursing interventions in accordance with the Group classification.
Conflict of interestsThe authors declare no conflict of interest.
This work is supported by Hibah PITTA funded by DRPM Universitas Indonesia No. 1856/UN2.R3.1/HKP.05.00/2018.
Peer-review under responsibility of the scientific committee of the Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia. Full-text and the content of it is under responsibility of authors of the article.