Literature DB >> 32404092

Complementary and alternative medicine use among outpatients during the 2015 MERS outbreak in South Korea: a cross-sectional study.

Jung Hye Hwang1,2,3, Hyun Jeong Cho4, Hyea Bin Im2,3, Young Sun Jung2,3, Soo Jeung Choi2,3, Dongwoon Han5,6,7,8,9.   

Abstract

BACKGROUND: The 2015 MERS outbreak in South Korea was the largest event outside of the Middle East. Under such circumstances, individuals tend to resort to non-conventional solutions such as complementary and alternative medicine (CAM) to manage health. Thus, this study aims to examine characteristics of CAM use among outpatients in a community hospital setting during the 2015 MERS outbreak and to assess potential predictors of CAM use during the epidemic.
METHODS: A cross-sectional study was conducted among 331 patients (response rate: 82.75%) at a community hospital located in Seoul, South Korea. The survey instrument included 36 questions on the use of CAM, demographic characteristics, health status, and respondents' perceptions and concerns about MERS infection. Chi-square test and logistic regression were conducted for data analysis using SPSS ver. 21.0., and a p-value of less than 0.05 was considered statistically significant for all analyses.
RESULTS: 76.1% of respondents used one or more types of CAM modalities during the MERS outbreak. Consumption of easily accessible modalities such as multivitamin (51.2%) and food products (32.1%) was most popular, and the majority of CAM users relied on mass media (52.4%) and the internet (27.4%) to obtain information on CAM. The use of CAM was associated with age between 40 and 49, age over 50, prior CAM use, and dissatisfaction with the government response to the MERS outbreak.
CONCLUSIONS: CAM was commonly used by outpatients during the 2015 MERS outbreak in Korea, and mass media was the main source of information. Establishing a media platform is of paramount importance to provide reliable information and ensure the safety of its use.

Entities:  

Keywords:  Community hospital; Complementary and alternative medicine; Infectious disease; Korea; MERS

Year:  2020        PMID: 32404092      PMCID: PMC7220580          DOI: 10.1186/s12906-020-02945-0

Source DB:  PubMed          Journal:  BMC Complement Med Ther        ISSN: 2662-7671


Background

Recent emerging infectious diseases such as Severe Acute Respiratory Syndrome (SARS), Avian Influenza, and Middle East Respiratory Syndrome related coronavirus (MERS-CoV) continue to be a major public health concern [1]. The 2015 MERS outbreak in South Korea was the largest outbreak of MERS-CoV outside of the Middle East, resulting in 186 infected cases, 38 causalities, and 16,752 people being quarantined [2-4]. The characteristics and mechanisms of MERS transmission have been well investigated since the outbreak [5-7]. Specifically, MERS deaths in Korea can be attributed to the absence of effective vaccination and treatment for MERS, weak healthcare system for epidemic control, and ill-prepared hospitals with a deficiency in professional expertise, as well as negative pressure room for isolation of MERS patients [7-10]. Furthermore, increased incidences of nosocomial infection of MERS during the outbreak in 2015 elevated the fear, panic, and anger among the general public [11, 12]. As such, individuals exposed to risks and uncertainties tend to seek self-care measures and resort to non-conventional solutions such as complementary and alternative medicine (CAM) in order to demonstrate their autonomy, mitigate the risk, and make the situation more manageable [13-15]. Also, the usage is even greater among those with a chronic condition and report poorer health status [16-19]. Thus, the use of CAM among infectious diseases patients has gained popularity over the past decades, and a growing body of literature highlights its use against the threat of new and emerging infectious diseases such as HIV/AIDS, SARS, and H1N1 [20-26]. Furthermore, it is especially important to investigate the characteristics of CAM use in countries where the practice of traditional medicine is popular. In Korea, the use of CAM is widespread and culturally embedded as traditional Korean medicine (TKM) is recognized as a part of mainstream medicine in the Korean healthcare system. TKM is easily accessible in communities as TKM providers are available in all three levels (primary, secondary, and tertiary) of healthcare facilities. Some of its modalities, such as acupuncture, moxibustion, cupping, and herbal preparations, have been covered by the national health insurance since 1987, and patients can choose between TKM and conventional medicine based on their preferences [27]. Therefore, practice and consumption of CAM modalities, including TKM, are common among Koreans to prevent and manage acute illnesses [28, 29]. However, previous studies on CAM use during epidemics focus on the clinical efficacy of CAM modalities [23-25]. Those provide limited information about the detailed pattern of CAM use, why specific CAM modalities were chosen, and where the patients obtained the information on CAM during the emerging infectious disease outbreak. Therefore, this study aims to examine patterns and motivations of CAM use among outpatients at a community hospital during the 2015 MERS outbreak in Korea and identify their source of information on non-conventional medicine use.

Methods

Study setting and participants

A descriptive cross-sectional study was conducted among patients attending the outpatient departments at a community hospital located in Seoul, South Korea. All outpatients over the age of 18 were eligible to participate in the survey. Exclusion criteria were those who were admitted to the inpatient unit at the time of the survey, unable to speak or understand the survey questionnaire.

Study size

The formula for sample size determination using confidence interval (CI) of proportion was used to calculate the sample size: , where n is the required sample size, p is the estimated proportion of CAM use among the general population (0.692) calculated from previous studies [30, 31], d is the margin of error set on 0.05, q is the proportion of people not suing CAM (1-p), and z0.025 is 1.96 which corresponds to the confidence interval of 95%. This equation gave the minimum sample size as 328, and we distributed a total of 400 survey questionnaires assuming a 20% non-response rate.

Survey instrument

The semi-structured survey questionnaire was developed in the Korean language (See Additional file 1: Survey questionnaire). Because previous research tools on CAM use during emerging infectious disease outbreaks were unavailable, the survey instrument was developed based on earlier studies on CAM use [32-34]. In order to assess content and face validation of the survey instrument, the questionnaire was reviewed by three researchers to evaluate appropriateness, relevancy, clarity, adequacy, and organization of the questions. In addition, the questionnaire was pilot-tested on a sample of 20 participants to examine length, clarity, and difficulty of the questions, and a few items were revised based on the results. The final version of the questionnaire included 36 items with both multiple-choice and open-ended questions, and respondents’ perceptions and concerns regarding the MERS outbreak were measured using a 5-point Likert scale. The survey was divided into four major sections: The first section included eight questions on health-related characteristics (smoking and drinking experience, the practice of regular exercise, and presence and perceived-severity of comorbidities) and the level of self-perceived interest in health-promoting behavior of respondents (1 = not at all, 5 = very much). The second section contained 11 questions regarding respondents’ perceived danger and severity of MERS outbreak (1 = not at all, 5 = very much), concerns about MERS infection (1 = not at all, 5 = very much), the opinions on the trust in government response during the MERS outbreak, and source of information about MERS outbreak. The third part consisted of seven questions on CAM use (CAM use prior to the outbreak, types of modalities used during the outbreak—the respondents who checked on any modalities were categorised as CAM users, source of information, the reason for CAM use, and intention to recommend CAM to others), and the last section had nine questions on respondents’ sociodemographic characteristics such as age, gender, marital status, level of education, occupation, level of income, religion, and area of residence.

Data collection

The survey was conducted from November 26th to December 2nd, 2015. Two surveyors were trained and recruited for data collection, and the information about the research was given verbally to each respondent. The respondents were asked to complete the questionnaire by themselves, but if respondents did not understand certain questions, they were able to ask the surveyors for clarification. All participants were assured of their confidentiality and completed IRB-approved written informed consent before the survey. A total of 400 self-completed questionnaires were distributed, but 69 participants did not return or complete the questionnaire (response rate: 82.75%); therefore, the data of 331 respondents were included in the final analysis.

Statistical methods

The collected data of 331 respondents were analyzed using the Statistical Package for Social Sciences (SPSS) version 21.0. Descriptive statistics were used to examine sociodemographic and health-related characteristics of respondents. Pearson’s Chi-square test was performed to identify differences in sociodemographic characteristics and perceptions and concerns experienced during the MERS outbreak between CAM users and non-users. Lastly, multivariate logistic regression analysis was conducted to determine potential predictors of CAM use during the MERS outbreak. The significant factors from previous chi-square test (gender, age, religion, marital status, occupation, smoking status, alcohol consumption, degree of concern about no treatment modality available for MERS, trust in the government response, the perceived danger of the MERS outbreak on one’s health, hand washing, and refraining from physical contact with others) were subjected to the regression analysis. A p-value of less than 0.05 was considered statistically significant for all analyses.

Ethical clearance

The ethical approval of the study was obtained from the Institutional Review Board on Human Subjects Research and Ethics Committees, Hanyang University, Seoul, Korea (HYI-15-210-1).

Results

Sociodemographic characteristics of study participants

Table 1 presents the sociodemographic characteristics of respondents. The majority of respondents were women (68%), married (72.5%), received undergraduate education or higher (51.1%), have monthly household income higher than approximately 4000 USD (41.4%), and used CAM prior to the outbreak (54.7%).
Table 1

Sociodemographic characteristics of respondents

CharacteristicsTotaln = 331 (%)CAM usersn = 252 (%)Non-usersn = 79 (%)p-value
Gender
 Male106 (32.0)70 (27.8)36 (45.6)0.003
 Female225 (68.0)182 (72.2)43 (54.4)
Age (years)
  ≤ 39104 (31.4)66 (26.2)38 (48.1)0.001
 40–4993 (28.1)72 (28.6)21 (26.6)
  ≥ 50134 (40.5),114 (45.2)20 (25.3)
Marital status
 Single91 (27.5)62 (24.6)29 (36.7)0.035
 Married240 (72.5)190 (75.4)50 (63.3)
Level of education
 Up to secondary school162 (48.9)125 (49.6)37 (46.8)0.668
 Undergraduate or higher169 (51.1)127 (50.4)42 (53.2)
Occupation
 Professional77 (23.3)65 (25.8)12 (15.2)0.001
 Office worker80 (24.2)48 (19.1)32 (40.5)
 Self-employed69 (20.8)57 (22.6)12 (15.2)
 Not employed105 (31.7)82 (32.5)23 (29.1)
Monthly household income
 Low (under 1 M won)71 (21.5)53 (21.0)18 (22.8)0.348
 Middle (2 M ~ 4 M won)123 (37.2)99 (39.3)24 (30.4)
 High (Over 4 M won)137 (41.4)100 (39.7)37 (46.8)
Religion
 No136 (41.1)93 (36.9)43 (54.4)0.006
 Yes195 (58.9)159 (63.1)36 (45.6)
Type of current illness
 Chronic disease140 (42.3)113 (44.8)27 (34.2)0.094
 Acute condition191 (57.7)139 (55.2)52 (65.8)
Smoking status
 No237 (71.6)191 (75.8)46 (58.2)0.003
 Yes94 (28.4)61 (24.2)33 (41.8)
Alcohol drinking
 No88 (26.6)74 (29.4)14 (17.7)0.041
 Yes243 (73.4)178 (70.6)65 (82.3)
Prior CAM use
 No150 (45.3)78 (31.0)72 (91.1)< 0.001
 Yes181 (54.7)174 (69.0)7(8.9)

CAM Complementary and Alternative Medicine

Sociodemographic characteristics of respondents CAM Complementary and Alternative Medicine 76.1% of respondents have used at least one of the listed CAM modalities during the MERS outbreak, and significant differences in gender (p = 0.003), age (p = 0.001), marital status (p = 0.035), occupation (p = 0.001), religion (p = 0.006), smoking status (p = 0.003), alcohol consumption (p = 0.041), and prior use of CAM (p < 0.001) between CAM users and non-users were observed

Types of CAM modalities used during the MERS outbreak

Types of CAM modalities used by respondents during the MERS outbreak are demonstrated in Table 2. A total of 252 CAM users were identified. Among natural products, the prevalence of multivitamin consumption was the highest (51.2%), followed by whole grain, brown rice, and black bean (32.1%), and probiotics (31.0%). The exercise was the most practiced modality among the mind and body practices (27.8%), and traditional Korean medicine was used by 6.3% of CAM users.
Table 2

Types of CAM modalities used during the MERS outbreak

CAM modalitiesCAM usersn = 252 (%)
Natural producta
 Multivitamin129 (51.2)
 Whole grain/Brown rice/Black Bean81 (32.1)
 Probiotics78 (31.0)
 Ginseng/Balloon Flower Root75 (29.8)
 Garlic/Ginger55 (21.8)
 Dietary supplements54 (21.4)
 Propolis23 (9.1)
 Cinnamon12 (4.8)
 Chinese yam10 (4.0)
 Green Vegetable Juice3 (1.2)
Mind and body Practicesa
 Exercise70 (27.8)
 Pray/Meditation25 (9.9)
 Massage19 (7.5)
 Yoga/Aerobic9 (3.6)
 Chiropractic4 (1.6)
Other complementary health approachesa
 Traditional Korean medicine16 (6.3)
 Acupuncture8 (3.2)

a Columns do not add up to 100% due to use of multiple treatments

Types of CAM modalities used during the MERS outbreak a Columns do not add up to 100% due to use of multiple treatments

Source of information on CAM

As presented in Table 3, the primary information source of CAM use was mass media (52.4%) and the internet (27.4%). The least popular source was pharmacists (2.8%).
Table 3

Source of information, Reason for CAM/non-CAM use, and intention to recommend

Variablesn (%)
Source of information (n = 252)a
 Mass media (Newspapers, Radio, TV)132 (52.4)
 Internet69 (27.4)
 Family or relatives61 (24.2)
 Friends or peers50 (19.8)
 Book or magazine29 (11.5)
 Others15 (6.0)
 Pharmacist7 (2.8)
Reasons for using CAM (n = 252)a
 To improve the immune system159 (63.1)
 To prevent disease and maintain/promote health134 (53.2)
 To assist in the treatment of disease(s)33 (13.1)
 To aid in psychological comfort20 (7.9)
 To reduce pain7 (2.8)
 To minimize the adverse effects of conventional medicine5 (2.0)
 Others2 (0.8)
Intention to recommend (n = 252)
 Yes183 (72.6)
 No69 (27.4)
Reason for not using CAM (n = 79)
 Do not believe that CAM is relevant to disease treatment22 (27.8)
 Do not trust in the effectiveness of CAM21 (26.6)
 Others16 (20.3)
Do not know about CAM14 (17.7)
Worried about the adverse effects of CAM6 (7.6)

a Columns do not add up to 100% due to the selection of multiple answers

Source of information, Reason for CAM/non-CAM use, and intention to recommend a Columns do not add up to 100% due to the selection of multiple answers

Reason for CAM use and intention to recommend CAM

The most common reason for CAM use among 252 CAM users was to improve the immune system (63.1%), followed by to prevent disease and maintain/promote health (53.2%). Also, 72.6% of CAM users were willing to recommend CAM to others. As the reason for non-use of CAM among 79 non-CAM users, 27.8% responded that they do not believe that CAM is relevant to disease treatment, and 26.6% reported that they do not trust in the effectiveness of CAM (Table 3).

Differences in perception, degree of concerns, and trust in the government response

Differences in perceptions, degree of concerns, and trust in government response between CAM users and non-users are demonstrated in Table 4. Majority of respondents obtained MERS-related information through mass media (58.6%), displayed a high degree of concern about contracting the disease (49.2%), not being able to visit the crowded area (47.1%), having insufficient information on MERS (42.3%), and unavailability of treatment modality for MERS infection (62.5%). However, only a few respondents rated their self-perceived likelihood of contracting the disease as high (24.2%). Hand-washing (78.5%) was the most practiced protective behavior against the MERS outbreak, followed by wearing a mask (56.2%), and refraining from going outside (44.7%).
Table 4

Difference in perception, concerns, and government trust between CAM users and non-users

VariablesTotaln = 331 (%)CAM usersn = 252 (%)Non-usersn = 79 (%)p-value
Concern about own self and/or family members becoming infectedª
 Low (1,2)84 (25.4)61 (24.2)23 (29.1)0.314
 Moderate (3)84 (25.4)61 (24.2)23 (29.1)
 High (4,5)163 (49.2)130 (51.6)33 (41.8)
Concern about not being able to visit crowded areaª
 Low (1,2)79 (23.9)57 (22.6)22 (27.8)0.054
 Moderate (3)96 (29.0)67 (26.6)29 (36.7)
 High (4,5)156 (47.1)128 (50.8)28 (35.4)
Concern about not being able to visit health facilitiesª
 Low (1,2)109 (32.9)79 (31.3)30 (38.0)0.322
 Moderate (3)94 (28.4)70 (27.8)24 (30.4)
 High (4,5)128 (38.7)103 (40.9)25 (31.6)
Concern about having insufficient information on MERSª
 Low (1,2)98 (29.6)75 (29.8)23 (29.1)0.207
 Moderate (3)93 (28.1)65 (25.8)28 (35.4)
 High (4,5)140 (42.3)112 (44.4)28 (35.4)
Concern about no treatment modality available for MERSª
 Low (1,2)51 (15.4)33 (13.1)18 (22.8)0.017
 Moderate (3)73 (22.1)51 (20.2)22 (27.8)
 High (4,5)207 (62.5)168 (66.7)39 (49.4)
Perceived likelihood of infection°
 Low (1,2)140 (42.3)103 (40.9)37 (46.8)0.458
 Moderate (3)111 (33.5)89 (35.3)22 (27.8)
 High (4,5)80 (24.2)60 (23.8)20 (25.3)
Perceived danger of MERS outbreak on health1
 Low (1,2)29 (8.8)22 (8.7)7 (8.9)0.017
 Moderate (3)124 (37.5)84 (33.3)40 (50.6)
 High (4,5)178 (53.8)146 (57.9)32 (40.5)
Perceived preventability of MERS infection
 Possible257 (77.6)197 (78.2)60 (75.9)0.679
 Not possible74 (22.4)55 (21.8)19 (24.1)
Trust in the government response
 Appropriate133 (40.2)100 (39.7)33 (41.8)0.020
 Not appropriate151 (45.6)123 (48.8)28 (35.4)
 No opinion47 (14.2)29 (11.5)18 (22.8)
Protective behaviors*
 Wearing a mask186 (56.2)144 (57.1)42 (53.2)0.534
 Hand-washing260 (78.5)206 (81.7)54 (68.4)0.011
 Refraining from going outside148 (44.7)117 (46.4)31 (39.2)0.262

 Refraining from physical contact

with other people

62 (18.7)55 (21.8)7 (8.9)0.010
 Resting73 (22.1)58 (23.0)15 (19.0)0.451

 Visiting health facilities for

consultation

10 (3.0)7 (2.8)3 (3.8)0.644

ª Participants were asked to rate their degree of concern (1 = Not at all, 5 = Very much)

° Participants were asked to rate their self-perceived likelihood of contracting the disease (1 = Not at all, 5 = Very likely)

1 Participants were asked to rate their self-perceived danger of the MERS on health (1 = Not at all, 5 = Very much)

* Columns do not add up to 100% due to the selection of multiple answers

Difference in perception, concerns, and government trust between CAM users and non-users Refraining from physical contact with other people Visiting health facilities for consultation ª Participants were asked to rate their degree of concern (1 = Not at all, 5 = Very much) ° Participants were asked to rate their self-perceived likelihood of contracting the disease (1 = Not at all, 5 = Very likely) 1 Participants were asked to rate their self-perceived danger of the MERS on health (1 = Not at all, 5 = Very much) * Columns do not add up to 100% due to the selection of multiple answers CAM users’ concern for the lack of definitive treatment for MERS infection (p = 0.017) and self-perceived danger of the MERS outbreak (p = 0.017) was significantly greater than that of non-CAM users. A more significant proportion of CAM users (48.8%) regarded government response to the MERS outbreak as inappropriate (p = 0.020), and CAM users practiced more hand-washing (p = 0.011) and refrained from physical contact with others (p = 0.010) compared to the non-users.

Potential predictors of CAM use during the MERS outbreak

The result of multivariate logistic regression analysis is shown in Table 5. Age between 40 and 49 (OR: 2.753, CI: 1.121–6.761), age above 50 (OR: 3.574, CI: 1.290–9.905), CAM use prior to the outbreak (OR: 20.450, CI: 8.335–50.176), dissatisfaction with the government response to the outbreak (OR: 2.547, CI: 1.189–5.458) were associated with CAM use during the MERS epidemic.
Table 5

Multivariate logistic regression analysis for determining factors affecting CAM use during MERS

VariablesOR95% CIp-value
Gender
 Male1Ref
 Female1.3280.506–3.4860.564
Age (years)
  ≤ 391Ref
 40–492.7531.121–6.7610.027
  ≥ 503.5741.290–9.9050.014
Religion
 No1Ref
 Yes1.3870.678–2.8370.370
Marital status
 Married1Ref
 Single1.3210.546–3.1990.537
Occupation
 Not employed1Ref
 Self-employed2.2750.806–6.4230.121
 Office worker0.7630.283–2.0540.592
 Professional1.2740.459–3.5330.642
Smoking status
 No1Ref
 Yes0.6100.240–1.5530.300
Alcohol drinking
 No1Ref
 Yes1.3890.566–3.4060.473
Prior CAM use
 No1Ref
 Yes20.4508.335–50.176< 0.001
Concern about no treatment modality available for MERSª
 Low1Ref
 Moderate1.2040.425–3.4070.727
 High1.6250.612–4.3100.330
Trust in the government response
 Appropriate1Ref
 Inappropriate2.5471.189–5.4580.016
 No opinion1.1700.420–3.2630.764
Perceived danger of MERS outbreak on healthb
 Low1Ref
 Moderate0.8500.228–2.8440.736
 High1.0660.298–3.8160.922
Frequent hand washing during the outbreak
 No1Ref
 Yes2.0170.922–4.4130.079
Refraining from physical contact with others
 No1Ref
 Yes2.0290.727–5.6590.176

ª Participants were asked to rate their degree of concern (1 = Not at all, 5 = Very much)

b Participants were asked to rate their self-perceived danger of the MERS on health (1 = Not at all, 5 = Very much)

Multivariate logistic regression analysis for determining factors affecting CAM use during MERS ª Participants were asked to rate their degree of concern (1 = Not at all, 5 = Very much) b Participants were asked to rate their self-perceived danger of the MERS on health (1 = Not at all, 5 = Very much)

Discussion

This research is the first attempt to understand the prevalence and determinants of CAM use among patients during the MERS outbreak in Seoul, South Korea. While the efficacy of many CAM therapies has yet to be demonstrated, previous studies reported that CAM was commonly used during the outbreak of infectious diseases, such as malaria, dengue, H1N1, SARS, and the common cold to improve health [21–23, 25, 32, 35, 36]. Our findings also revealed a high utilization rate of CAM (76.1%) during the MERS outbreak, yet similar prevalence was reported during a non-epidemic period in Korea, showing an overall rise in CAM use among Koreans [30, 37, 38]. Furthermore, the prevalence of CAM use during the MERS outbreak was similar to that of cancer patients [39, 40], yet higher than that of chronic disease patients in Korea [41-43]. To date, the reasons and motivations for seeking CAM during epidemics vary across studies [14, 21, 22, 32]. However, during the MERS outbreak in Korea, the leading motivations for trying CAM were to improve the immune system and to prevent diseases. During the previous outbreaks of severe influenza, it was also documented that CAM was used for direct treatment against infectious diseases in various countries [22–24, 35, 44]. This implies that during infectious disease outbreaks, CAM is used not only to prevent the infection through the achievement of overall well-being and enhancement of immune function, but also to cure the disease directly by combating against the virus. As there are multiple reasons behind the utilization of CAM, the use of CAM products differed among studies. In Korea, consumption of natural products such as a multivitamin, whole grain, and probiotics was popular during the MERS outbreak, which were the modalities that are widely used for the management and treatment of common cold and influenza-like illnesses [24]. Such similarities in modalities used support existing findings that people’s decision to use particular CAM is influenced by specific physical symptoms experienced and self-assessed health care needs [45, 46]. Our findings also show differences in the use of self-administered modalities (multivitamin, nutritional supplements, food products, and exercise) and practitioner-administered modalities (massage, yoga, and traditional Korean medicine). Higher preference of self-administered CAM modalities in our study implies that in order to protect themselves from an outbreak event, people are more likely to rely on self-medication and minimize the risk of exposure. In fact, a high proportion of Koreans during the 2015 MERS outbreak avoided the crowded area and health facilities to prevent infection [2]. Differences in the method of obtaining CAM information were also observed. During the MERS outbreak in Korea, the most common sources were mass media (newspaper, television, radio) and the internet, which were the least popular among patients with chronic disease and non-airborne infectious disease [32, 47–49]. Observed dependence on the mass media can be attributed to many health professionals using the mass media to provide advice on precautionary and self-care measures during the outbreak of MERS. Furthermore, similar to the SARS epidemic in Hong Kong [50], the majority of respondents also reported the mass media as the main source of disease-related information during the MERS outbreak in Korea. These findings reflect the importance of mass media accessed by the public during health emergencies, as the information provided has a critical role in the formation of risk perception and influence health behavior [51-53]. Lastly, several factors were identified as potential predictors of CAM use during the MERS outbreak. As for sociodemographic characteristics, previous studies found female gender, younger age, and tertiary education level to be associated with CAM use among people with risk of disease development [54, 55]. However, on the contrary, only the higher age groups (being 40 to 49 years of age, being over 50 years of age) were more likely to use CAM in our study. This incongruency may be due to differences in the sample size of the study and characteristics of diseases, as in the case of infectious disease outbreaks, higher perceived vulnerability among elders could influence them to engage in health-promoting behaviors [14, 56]. In the case of health belief-related factors, those who used CAM prior to the outbreak and showed dissatisfaction with the government response to the outbreak were more likely to use CAM in the present study. Similarly, previous studies found distrust in the government and dissatisfaction with the conventional health care system to be associated with CAM use [16, 57]. These results suggest that individuals who find the formal health care system to be unreliable resort to CAM to compensate for the lack of perceived-health care quality, to practice autonomy, and to protect themselves from health threats [16, 57–59]. However, the findings remain inconclusive, and further research is needed to improve our understanding of the determinants of CAM use during epidemic events. Limitations of this study include recall bias and lack of variability in research locations. The survey was implemented in November and December of 2015, which was near the end of the MERS epidemic in Korea, so recall bias may affect the result. Also, the participants of the study were selected from patients visiting outpatient departments of a community hospital in Seoul; therefore, the result of the study may not fully represent those of other people in Korea. Lastly, cross-sectional studies can only infer the association between CAM use and potential predictor variables.

Conclusion

During the 2015 MERS outbreak in Korea, the prevalence of CAM use was considerably high among patients with older age, prior CAM use, and dissatisfaction with the government response to the MERS outbreak. Also, the majority of respondents reported the mass media and the internet as the main source of CAM and disease-related information. In the era where emerging infectious diseases continue to be a major public health concern, the effective use of mass media and information and communication technology should be considered to achieve efficient delivery of health information and to promote behavior changes in situations of vulnerability. Therefore, public health authorities should build an integrated platform that provides proven and reliable information during public health emergencies to protect the health of citizens. Additional file 1. Survey questionnaire. Survey questionnaire developed to examine the pattern of CAM use among Koreans during the 2015 MERS outbreak in Korea.
  43 in total

1.  Traditional plant-based therapies for respiratory diseases found in North Jeolla Province, Korea.

Authors:  Hyun Kim; Mi-Jang Song
Journal:  J Altern Complement Med       Date:  2012-03-06       Impact factor: 2.579

2.  Complementary and alternative medicine is expected to make greater contribution in controlling the prevalence of influenza.

Authors:  Zhengang Tao; Yuxiu Yang; Wenna Shi; Mingming Xue; Wieqiang Yang; Zhenju Song; Chenling Yao; Jun Yin; Dongwei Shi; Yaping Zhang; Yingyun Cai; Chaoyang Tong; Ying Yuan
Journal:  Biosci Trends       Date:  2013-10       Impact factor: 2.400

Review 3.  Prevalence of complementary and alternative medicine (CAM) use by the general population: a systematic review and update.

Authors:  P E Harris; K L Cooper; C Relton; K J Thomas
Journal:  Int J Clin Pract       Date:  2012-10       Impact factor: 2.503

4.  Pain and use of complementary and alternative medicine in a national sample of persons living with HIV.

Authors:  Jennie C I Tsao; Aram Dobalian; Cynthia D Myers; Lonnie K Zeltzer
Journal:  J Pain Symptom Manage       Date:  2005-11       Impact factor: 3.612

5.  Use of complementary and alternative medicine among Korean cancer patients.

Authors:  Min Jae Kim; Sang Dae Lee; Duck Ryung Kim; Yun Ho Kong; Wee Sik Sohn; Seung Seog Ki; Jin Kim; Yu Cheol Kim; Chul Ju Han; Jin Oh Lee; Hyeon-Seok Nam; Yeon-Hee Park; Cheol Hyeon Kim; Ka-Hee Yi; Yoon Yong Lee; Sook-Hyang Jeong
Journal:  Korean J Intern Med       Date:  2004-12       Impact factor: 2.884

6.  High fatality rates and associated factors in two hospital outbreaks of MERS in Daejeon, the Republic of Korea.

Authors:  Hae-Sung Nam; Jung Wan Park; Moran Ki; Mi-Yeon Yeon; Jin Kim; Seung Woo Kim
Journal:  Int J Infect Dis       Date:  2017-02-20       Impact factor: 3.623

7.  Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, 2015: epidemiology, characteristics and public health implications.

Authors:  K H Kim; T E Tandi; J W Choi; J M Moon; M S Kim
Journal:  J Hosp Infect       Date:  2016-10-14       Impact factor: 3.926

8.  The use of complementary and alternative medicine in a general population in South Korea: results from a national survey in 2006.

Authors:  Sun Myeong Ock; Jun Yeong Choi; Young Soo Cha; JungBok Lee; Mi Son Chun; Chang Hun Huh; Soon Young Lee; Sung Jae Lee
Journal:  J Korean Med Sci       Date:  2009-02-28       Impact factor: 2.153

9.  Patterns of using complementary and alternative medicine by stroke patients at two university hospitals in Korea.

Authors:  Yong-Il Shin; Chung-Yong Yang; Min-Cheol Joo; Sam-Gyu Lee; Jae-Hyung Kim; Myeong Soo Lee
Journal:  Evid Based Complement Alternat Med       Date:  2008-06       Impact factor: 2.629

10.  Nosocomial infection control in healthcare settings: Protection against emerging infectious diseases.

Authors:  Chuanxi Fu; Shengyong Wang
Journal:  Infect Dis Poverty       Date:  2016-04-12       Impact factor: 4.520

View more
  6 in total

Review 1.  Are beliefs and attitudes about COVID-19 associated with self-perceived changes in food consumption? Results from a nationwide survey during lockdown.

Authors:  Raquel Martins; Carolina Capitão; Mónica Fialho; Rodrigo Feteira-Santos; Ana Virgolino; Ricardo R Santos; Violeta Alarcão; Marlene Silva; Miguel Arriaga; Pedro Graça; Maria João Gregório; Osvaldo Santos
Journal:  Appetite       Date:  2021-09-07       Impact factor: 5.016

2.  Usage of nutritional supplements to improve immunity during the COVID-19 pandemic: An online survey.

Authors:  Tormalli V Francis; Piumika Sooriyaarachchi; Ranil Jayawardena
Journal:  Clin Nutr Open Sci       Date:  2022-04-18

3.  The Relationship Between Individuals' Use of Complementary and Alternative Medicine During the Pandemic in Turkey and Their Attitudes Towards Perceived COVID-19 Risk.

Authors:  Dr Zeynep Karaman Özlü; PhD Tülay Kilinç; Dr İbrahim Özlü; Ma Harun Ünal; Rümeysa Lale Toraman
Journal:  Eur J Integr Med       Date:  2022-10-12       Impact factor: 1.813

4.  Prevalence and associated factors of complementary and integrative medicine use in patients afflicted with COVID-19.

Authors:  Mohammad Mahdi Parvizi; Sedigheh Forouhari; Reza Shahriarirad; Sepehr Shahriarirad; Ryan D Bradley; Leila Roosta
Journal:  BMC Complement Med Ther       Date:  2022-09-30

5.  A public survey of traditional, complementary and integrative medicine use during the COVID-19 outbreak in Hong Kong.

Authors:  Chun Sing Lam; Ho Kee Koon; Vincent Chi-Ho Chung; Yin Ting Cheung
Journal:  PLoS One       Date:  2021-07-01       Impact factor: 3.240

6.  The Impact of Media on Public Health Awareness Concerning the Use of Natural Remedies Against the COVID-19 Outbreak in Saudi Arabia.

Authors:  Amna Alotiby
Journal:  Int J Gen Med       Date:  2021-07-02
  6 in total

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