Background
Depression and anxiety are common problems around the world. The World Health Organization (WHO) estimated that more than 300 million people suffer from depression worldwide. Nearly the same number of people suffer from anxiety disorders, which is equivalent to almost 4-5% of the world’s population [
1]. Depression is recognized as the most common mental health disorder globally and is expected to be the leading cause of mortality by 2030 [
2,
3]. Economically disadvantaged developing countries have reported the highest prevalence of depression and anxiety symptoms [
4]. Evidence suggests that these mental health problems are directly associated with social and physical problems, such as dysfunctional family relationships, high suicide rates, poor achievement, and use of illegal drugs [
1,
5‐
7].
Today, it is clear that nurses have one of the most stressful health occupations, with more mental health complaints than any other health professionals [
8‐
10]. Depression, anxiety, and stress are the most common mental health problems among nurses, which need to be considered in health research on Iranian nurses [
11‐
13]. The high prevalence of depression, anxiety, and stress is associated with worse patient care safety and health care quality [
14], higher occurrence of adverse events [
15]. On the other hand, the COVID-19 pandemic has an important role in the well-being of healthcare professionals, especially nurses [
16]. A systematic review and meta-analysis showed that almost one-third of nurses had depression, anxiety, and stress during the COVID-19 pandemic [
17]. A study among Iranian nurses demonstrated that anxiety, stress, and depression scores significantly increased during the first wave of the COVID-19 pandemic compared with before the COVID-19 outbreak [
18]. Additionally, a recent study focusing on comparison levels of depression, anxiety, and stress between nurses in the frontline and the second line of care delivery during the COVID-19 concluded that frontline line nurses had significantly higher levels of depression, anxiety, and stress [
11].
The Depression Anxiety Stress Scale (DASS) is one of the screening instruments, designed to measure depression, anxiety, and stress. This validated questionnaire, which consists of 42 items, has been extensively used in different populations in various study backgrounds, given its applicability for the assessment of many negative mental health conditions [
19]. DASS-21 is the new brief version of DASS with three subscales, each subscale includes seven items. Numerous studies have evaluated the psychometric properties of this scale in medical and non-medical populations to determine its validity and reliability [
20‐
27]. The majority of these studies have reported good internal consistency and reliability [
23‐
27].
Generally, DASS-21 is a low-cost, easy-to-use scale, which allows for a rapid assessment of depression, anxiety, and stress [
28]. In this scale, it is presumed that depression, anxiety, and stress form a general distress construct, despite having distinguished features. The depression scale includes questions related to lack of interest, anhedonia, devaluation of life, self-deprecation, and inertia, while stress is associated with irritability, tension, nervousness, difficulty relaxing, and agitation [
19].
DASS-21 has been translated into more than 40 languages, including Turkish, Greek, Malaysian, Korean, Vietnamese, and Brazilian Portuguese [
23,
24,
27‐
29].
Although the DASS-21 has also been translated and validated among non-clinical Iranian samples [
30], its Persian version has not been validated for the healthcare professions, especially nurses. Given the high prevalence of depression, anxiety, and other mental disorders in Iranian healthcare professions especially nurses and their different working environments, and conditions. DASS-21 may be a useful screening tool for identifying early-stage mental health symptoms. Further, considering the importance and impact of mental health disorders, a tool with good psychometric properties is important to accurately assess the level of depression, anxiety, and stress in a sample of health professionals. Therefore, the purpose of this study was to examine the psychometric properties of the Persian version of DASS-21 among a sample of health professionals.
Discussion
Although DASS-21 has been used in different countries and translated into different languages, the Persian version of this scale has not been validated in medical populations in Iran. The current study investigated the psychometric properties of the Persian version of DASS-21 for a sample of health professionals. This is the first study, to the best of our knowledge, to examine the factor structure of the Persian DASS-21 for healthcare professionals. The present findings supported the three-factor structure of DASS-21, as reported in previous studies [
19,
23,
25,
26,
29,
30,
36].
The main contribution of the current study was the measurement of the psychometric properties of the Persian version of DASS-21 among nurses as important health professionals in any healthcare system, contributing significantly to the delivery and quality of healthcare services [
44‐
46]. In Iran, there is a shortage of nurses of around 130,000, and there is and only 1.3 nurses per 1000 people [
47], compared with the Organization for Economic Co-operation and Development (OECD) average of 7.4 per 1000 people [
48]. A recent systematic review study identified he most important causes for the shortage of nurses in Iran. they including unwillingness to enter and stay in nursing, job abandonment and trying other jobs, low social status, insufficient support in the workplace, immigration to other countries, poor policies and programs for recruitment of workforce, the negative impression of nursing as a woman’s career, Insufficient salaries compared to other professions [
47]. On the other hand, Iranian nurses face many challenges such as job dissatisfaction [
49], high job stress [
15], low quality of work life [
50], high job burnout [
31] and high anxiety and depression [
51].
As frontline health service providers, nurses may face different challenges, such as the risk of infection, lack of protective supplies, risk of infection by relatives, and lack of essential medications; these challenges may increase the risk of insomnia, frustration, fear, stress, anxiety, and depression among nurses [
52‐
54]. During the current COVID-19 pandemic, many studies around the world and in Iran have indicated the urgent need to evaluate psychological disorders in the general population, as well as healthcare professionals, who are at the highest risk of psychological and mental health problems [
55‐
57].
In the present study, the internal consistency reliability and construct validity of the Persian DASS-21 were examined. This validated questionnaire can be used as a robust tool to measure depression, anxiety, and stress among Iranian healthcare professionals, particularly nurses. The present results revealed the acceptable internal consistency reliability of the scale, with a Cronbach’s alpha coefficient of 0.88 for depression, 0.88 for anxiety, and 0.89 for stress; the overall Cronbach’s alpha coefficient was 0.93. The present results are consistent with previous validation studies of DASS-21 conducted in different countries in both medical and non-medical settings, which revealed that Cronbach’s alpha was above the agreed cutoff point (0.70) [
22‐
26,
29,
30,
58]. Psychometric studies of the DASS tool for healthcare professions in Turkey and Greece showed that Cronbach’s alpha coefficient for three dimensions varies between 0.81 and 0.85 [
23,
24]. Moreover, a study in China among hospital workers reported a Cronbach’s alpha coefficient of 0.95 for the total DASS-21 scale [
22].
The construct validity of the Persian DASS-21 was satisfactory based on the CFA, and all fit indexes of the model were acceptable. Generally, structural validity refers “to the extent to which the structure of a multi-item scale reflects the hypothesized dimensionality of the construct being measure” [
59]. The indexes of the CFA model showed that the three-dimension structure of DASS-21 was a satisfactory fit for the data, and the results were in line with previous validation research [
22,
24,
60]. The findings of the present study showed that the Persian DASS-21 is suitable for future research in the Iranian community.
In the present study, the RMSEA was calculated to be 0.078, and χ
2/df
P-value was < 0.001. Based on the criteria for CFA, the goodness-of-fit indices of CFA indicated the acceptable fit of the model with the original construct [
40]. Some previous studies have reported acceptable RMSEA, including a study conducted in Turkey among health control and clinical samples (RMSEA = 0.065) [
24] and reported a χ
2/df P-value of > 0.05. According to the criteria for CFA, these goodness-of-fit indices suggest the acceptable fit of the model with the original construct [
40].
Besides, some studies have reported acceptable RMSEA, including a study conducted in Turkey among health control and clinical samples (RMSEA = 0.065) [
24] and a study in Chinese hospital workers (RMSEA = 0.075) [
22]. Moreover, the CFI measured in our study (0.917) was above the cutoff point, indicating a satisfactory model fit. It was lower than the values reported in studies performed in Australia (CFI = 0.944) [
61] and Greece (CFI = 0.95) [
23], while it was higher than the value reported in Turkey (CFI = 0.905) [
24].
Limitations
There are some limitations to the present study, Due to coronavirus concerns, data was collected online and using a convenient sampling method, which could result in selection bias. Also, only nurses with access to the Internet could complete the questionnaire. Besides, other healthcare professionals, such as physicians, laboratory technicians, and paramedics, were not included in this study. Nevertheless, the present study established the validity and reliability of the Persian version of DASS-21, which can be applied in future research to measure depression, anxiety, and stress in different healthcare professionals in the Iranian healthcare system.
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