Skip to main content

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

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.

Peer Review reports

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 [2,3,4]. The characteristics and mechanisms of MERS transmission have been well investigated since the outbreak [5,6,7]. 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 [7,8,9,10]. 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 [13,14,15]. Also, the usage is even greater among those with a chronic condition and report poorer health status [16,17,18,19]. 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 [20,21,22,23,24,25,26]. 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 [23,24,25]. 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: \( n={z}_{\alpha /2}^2\bullet \frac{pq}{d^2} \), 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 [32,33,34]. 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

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

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

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

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

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 [21,22,23, 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 [41,42,43].

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 [22,23,24, 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, 47,48,49]. 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 [51,52,53].

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, 57,58,59]. 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.

Availability of data and materials

The data will be accessible by contacting the corresponding author of this study.

Abbreviations

CAM:

complementary and alternative medicine

H1N1:

Influenza A virus subtype H1N1

MERS:

Middle East respiratory syndrome

OPD:

Outpatient department

SARS:

Severe Acute Respiratory Syndrome

References

  1. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, Daszak P. Global trends in emerging infectious diseases. Nature. 2008;451(7181):990–3.

  2. Lee SY, Yang HJ, Kim G, Cheong H-K, Choi BY. Preventive behaviors by the level of perceived infection sensitivity during the Korea outbreak of Middle East Respiratory Syndrome in 2015. Epidemiol Health. 2016;38.

  3. Kim K, Tandi T, Choi J, Moon J, Kim M. Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea, 2015: epidemiology, characteristics and public health implications. J Hosp Infect. 2017;95(2):207–13.

    Article  CAS  PubMed  Google Scholar 

  4. Fu C, Wang S. Nosocomial infection control in healthcare settings: protection against emerging infectious diseases. Infectious Diseases Poverty. 2016;5(1):30.

    Article  Google Scholar 

  5. Park J-E, Jung S, Kim A, Park J-E. MERS transmission and risk factors: a systematic review. BMC Public Health. 2018;18(1):574.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Nam H-S, Park JW, Ki M, Yeon M-Y, Kim J, Kim SW. High fatality rates and associated factors in two hospital outbreaks of MERS in Daejeon, the Republic of Korea. Int J Infect Dis. 2017;58:37–42.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ki M. 2015 MERS outbreak in Korea: hospital-to-hospital transmission. Epidemiol Health. 2015;37:e2015033.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Choi JW, Kim KH, Cho YM, Kim SH. Current epidemiological situation of Middle East respiratory syndrome coronavirus clusters and implications for public health response in South Korea. J Korean Med Assoc. 2015;58(6):487–97.

  9. Na BJ, Kim D-H. Improving capability of local public hospital andhealth center against newly emerging infectiousdiseases after Middle East respiratory syndromeepidemic in Korea. J Korean Med Assoc. 2015;58(8):700–5.

    Article  Google Scholar 

  10. Park C-B: Functions and roles of public healthcare for controlling infectious diseases. J Korean Med Assoc/Taehan Uisa Hyophoe Chi 2015, 58(7)..

  11. Park C-B. Functions and roles of public healthcare forcontrolling infectious diseases. J Korean Med Assoc. 2015;58(7):617–23.

  12. Oh M-D, Park WB, Park S-W, Choe PG, Bang JH, Song K-H, Kim ES, Kim HB, Kim NJ: Middle East respiratory syndrome: what we learned from the 2015 outbreak in the Republic of Korea. Korean J Internal Med 2018, 33(2):233.

  13. Mitchell M, McClean S. Pregnancy, risk perception and use of complementary and alternative medicine. Health Risk Soc. 2013;16(1):101–16.

    Article  Google Scholar 

  14. Siu JYM, Sung HC, Lee W. Qigong practice among chronically ill patients during the SARS outbreak. J Clin Nurs. 2007;16(4):769–76.

    Article  PubMed  Google Scholar 

  15. Omar UH, Putit L. Consumer behavioral intention to use complementary alternative medicine. Identity. 2012;3:H5.

    Google Scholar 

  16. Ventola CL. Current issues regarding complementary and alternative medicine (CAM) in the United States: part 1: the widespread use of CAM and the need for better-informed health care professionals to provide patient counseling. Pharmacy Therapeutics. 2010;35(8):461.

    PubMed  Google Scholar 

  17. Harris P, Cooper K, Relton C, Thomas K. Prevalence of complementary and alternative medicine (CAM) use by the general population: a systematic review and update. Int J Clin Pract. 2012;66(10):924–39.

    Article  CAS  PubMed  Google Scholar 

  18. Metcalfe A, Williams J, McChesney J, Patten SB, Jetté N. Use of complementary and alternative medicine by those with a chronic disease and the general population-results of a national population based survey. BMC Complement Altern Med. 2010;10(1):58.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Upchurch DM, Chyu L, Greendale GA, Utts J, Bair YA, Zhang G, Gold EB. Complementary and alternative medicine use among American women: findings from the National Health Interview Survey, 2002. J Women's Health. 2007;16(1):102–13.

    Article  Google Scholar 

  20. Ha K-C, Kim M-G, Oh M-R, Choi E-K, Back H-I, Kim S-Y, Park E-O, Kwon D-Y, Yang H-J, Kim M-J. A placebo-controlled trial of Korean red ginseng extract for preventing influenza-like illness in healthy adults. BMC Complement Altern Med. 2012;12(1):10.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Hollenberg D, Zakus D, Cook T, Xu X. Re-positioning the role of traditional, complementary and alternative medicine as essential health knowledge in global health: Do they still have a role to play? World Health Population. 2008;10(4):62–75.

    PubMed  Google Scholar 

  22. Ganjhu RK, Mudgal PP, Maity H, Dowarha D, Devadiga S, Nag S, Arunkumar G. Herbal plants and plant preparations as remedial approach for viral diseases. Virusdisease. 2015;26(4):225–36.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Leung P-C. The efficacy of Chinese medicine for SARS: a review of Chinese publications after the crisis. Am J Chinese Med. 2007;35(04):575–81.

    Article  Google Scholar 

  24. Mousa HA. Prevention and treatment of influenza, influenza-like illness, and common cold by herbal, complementary, and natural therapies. J Evid Based Complementary Altern Med. 2017;22(1):166–74.

    Article  PubMed  CAS  Google Scholar 

  25. Liu X, Zhang M, He L, Li Y. Chinese herbs combined with Western medicine for severe acute respiratory syndrome (SARS). Cochrane Database Syst Rev. 2012;10.

  26. Syed IA, Sulaiman SAS, Hassali MA, Thiruchelvam K, Syed SH, Lee CK. Beliefs and practices of complementary and alternative medicine (CAM) among HIV/AIDS patients: a qualitative exploration. Eur J Integrative Medicine. 2016;8(1):41–7.

    Article  Google Scholar 

  27. Choi JH, Kang SW, You CH. The determinants of choosing traditional Korean medicine or conventional medicine: findings from the Korea HealthPanel. Evid. Based Complement Alternat Med. 2015;2015. Article ID 147408:9. https://doi.org/10.1155/2015/147408.

  28. Kim H, Song M-J. Traditional plant-based therapies for respiratory diseases found in north Jeolla Province, Korea. J Altern Complement Med. 2012;18(3):287–93.

    Article  Google Scholar 

  29. Jo J, Lee SH, Lee JM, Lee H, Kwack SJ, Kim DI. Use and safety of Korean herbal medicine during pregnancy: a Korean medicine literature review. Eur J Integrative Med. 2016;8(1):4–11.

    Article  Google Scholar 

  30. Ock SM, Choi JY, Cha YS, Lee J, Chun MS, Huh CH, Lee SY, Lee SJ. The use of complementary and alternative medicine in a general population in South Korea: results from a national survey in 2006. J Korean Med Sci. 2009;24(1):1–6.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Park H-S, Cho G-Y, Kim M-O, Lee S-R. A study on use of complementary-alternative therapy in middle-aged women. Korean J Women Health Nurs. 2005;11(3):193–201.

    Article  CAS  Google Scholar 

  32. Ching S, Ramachandran V, Gew LT, Lim SMS, Sulaiman WAW, Foo YL, Zakaria ZA, Samsudin NH, Lau PCMC, Veettil SK. Complementary alternative medicine use among patients with dengue fever in the hospital setting: a cross-sectional study in Malaysia. BMC Complement Altern Med. 2015;16(1):37.

    Article  CAS  Google Scholar 

  33. Hwang JH, Han DW, Yoo EK, Kim W-Y. The utilisation of complementary and alternative medicine (CAM) among ethnic minorities in South Korea. BMC Complement Altern Med. 2014;14(1):103.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Hwang JH, Kim W-Y, Ahmed M, Choi S, Kim J, Han DW. The use of complementary and alternative medicine by Korean breast cancer women: is it associated with severity of symptoms? Evid Based Complement Alternat Med. 2015;2015(Article ID 182475):7. https://doi.org/10.1155/2015/182475.

  35. Arora R, Chawla R, Marwah R, Arora P, Sharma R, Kaushik V, Goel R, Kaur A, Silambarasan M, Tripathi R. Potential of complementary and alternative medicine in preventive management of novel H1N1 flu (swine flu) pandemic: thwarting potential disasters in the bud. Evid Based Complement Alternat Med. 2011;2011.

  36. Nahas R, Balla A. Complementary and alternative medicine for prevention and treatment of the common cold. Can Fam Physician. 2011;57(1):31–6.

    PubMed  PubMed Central  Google Scholar 

  37. Lee SI, Khang YH, Lee MS, Koo HJ, Kang W, Hong CD. Complementary and alternative medicine use in Korea: prevalence, pattern of use, and out-of-pocket expenditures. Korean J Preventive Med. 1999;32(4):546–55.

    Google Scholar 

  38. Lim B, Min J, Jang U, Min M. The use and expenditure of the complementary and alternative medicine in Korea. J Korean Oriental Med Society. 2004;25:142–51.

    Google Scholar 

  39. Kim MJ, Lee SD, Kim DR, Kong YH, Sohn WS, Ki SS, Kim J, Kim YC, Han CJ, Lee JO. Use of complementary and alternative medicine among Korean cancer patients. Korean J Internal Med. 2004;19(4):250.

    Article  Google Scholar 

  40. Chang SB, Lee TW, Kim S, Yoo IY, Kim IS, Kang KH, Lee MK, Jang YH. A study of complementary and alternative medicine used by cancer patients in Korea. J Korean Acad Adult Nurs. 2006;18(1):92.

    Google Scholar 

  41. Hwang BY, Park MN, Choi HS, Choi CW, Yoo JH, Kang HM, Park MJ. The current status of complementary-alternative medicine for asthmatics in Korea: experience in one tertiary care hospital. Tuberculosis Respiratory Diseases. 2006;61(4):339–46.

    Article  Google Scholar 

  42. Lee MS, Lee MS, Lim HJ, Moon SR. Survey of the use of complementary and alternative medicine among Korean diabetes mellitus patients. Pharmacoepidemiol Drug Saf. 2004;13(3):167–71.

    Article  CAS  PubMed  Google Scholar 

  43. Shin Y-I, Yang C-Y, Joo M-C, Lee S-G, Kim J-H, Lee MS. Patterns of using complementary and alternative medicine by stroke patients at two university hospitals in Korea. Evid Based Complement Alternat Med. 2008;5(2):231–5.

    Article  PubMed  Google Scholar 

  44. Tao ZG, Yang YX, Shi WN, Xue MM, Yang WQ, Song ZJ, Yao CL, Yin J, Shi DW, Zhang YP, et al. Complementary and alternative medicine is expected to make greater contribution in controlling the prevalence of influenza. Bioscience Trends. 2013;7(5):253–6.

    PubMed  Google Scholar 

  45. Robinson A, Chesters J, Cooper S. People's choice: complementary and alternative medicine modalities. Complement Health Pract Rev. 2007;12(2):99–119.

    Article  Google Scholar 

  46. Tsao JC, Dobalian A, Myers CD, Zeltzer LK. Pain and use of complementary and alternative medicine in a national sample of persons living with HIV. J Pain Symptom Manag. 2005;30(5):418–32.

    Article  Google Scholar 

  47. Busari AA, Mufutau MA. High prevalence of complementary and alternative medicine use among patients with sickle cell disease in a tertiary hospital in Lagos, south west, Nigeria. BMC Complement Altern Med. 2017;17(1):299.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Hu H, Li G, Duan J, Arao T. Prevalence, Purposes, and Perceived Effectiveness of Complementary and Alternative Medicine Use in a Hypertension Population: A Questionnaire Survey. ISRN Public Health. 2013;2013:137472.

  49. Kucukoner M, Bilge Z, Isıkdogan A, Ali Kaplan M, Inal A, Urakci Z. Complementary and alternative medicine usage in Cancer patients insoutheast of Turkey. Afr Tradis Compl Alternat Med. 2012;10(1):21–25.

  50. Lau J, Yang X, Tsui H, Kim J. Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62. J Epidemiol Community Health. 2003;57(11):864–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Kim J, Jung M. Associations between media use and health information-seeking behavior on vaccinations in South Korea. BMC Public Health. 2017;17(1):700.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Seo M. Effects of risk information seeking and processing on MERS preventive behaviors and moderating roles of SNS use during 2015 MERS outbreak in Korea. Korean J Communication Information. 2016;78:116–40.

    Google Scholar 

  53. Advani R, Naess H, Kurz M. Mass media intervention in Western Norway aimed at improving public recognition of stroke, emergency response, and acute treatment. J Stroke Cerebrovasc Dis. 2016;25(6):1467–72.

    Article  PubMed  Google Scholar 

  54. Field K, Jenkins M, Friedlander M, McKinley J, Price M, Weideman P, Keogh L, McLachlan S, Lindeman G, Hopper J. Predictors of the use of complementary and alternative medicine (CAM) by women at high risk for breast cancer. Eur J Cancer. 2009;45(4):551–60.

    Article  CAS  PubMed  Google Scholar 

  55. Kristoffersen AE, Sirois FM, Stub T, Hansen AH. Prevalence and predictors of complementary and alternative medicine use among people with coronary heart disease or at risk for this in the sixth Tromsø study: a comparative analysis using protection motivation theory. BMC Complement Altern Med. 2017;17(1):324.

    Article  PubMed  PubMed Central  Google Scholar 

  56. de Zwart O, Veldhuijzen IK, Richardus JH, Brug J. Monitoring of risk perceptions and correlates of precautionary behaviour related to human avian influenza during 2006-2007 in the Netherlands: results of seven consecutive surveys. BMC Infect Dis. 2010;10(1):114.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Lee C, Whetten K, Omer S, Pan W, Salmon D. Hurdles to herd immunity: distrust of government and vaccine refusal in the US, 2002–2003. Vaccine. 2016;34(34):3972–8.

    Article  PubMed  Google Scholar 

  58. Guillaud A, Allenet B, Pinsault N. Does dissatisfaction with physicians lead patients to alternative practitioners? Complement Ther Clin Pract. 2020;39:101109.

    Article  PubMed  Google Scholar 

  59. Kharroubi S, Chehab RF, El-Baba C, Alameddine M, Naja F. Understanding CAM use in Lebanon: findings from a National Survey. Evid Based Complement Alternat Med. 2018;2018.

Download references

Acknowledgments

The authors would like to express their sincere gratitude to all the participants for their cooperation and willingness to share their experience.

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

YS, HB, SJ, and DW were responsible for the study concept and design. HB, YS, and DW analyzed the data and drafted the manuscript. HJ and DW contributed to the designing of data collection tools and data collection. JH, HB, YS, and DW critically reviewed the manuscript and contributed intellectual content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Dongwoon Han.

Ethics declarations

Ethics approval and consent to participate

Ethical approval for the study was acquired from the Institutional Review Board on Human Subjects Research and Ethics Committees, Hanyang University (HYI-15-210-1). Enrollment of the respondents was voluntary, and all patients gave written consent to participate in the study.

Consent for publication

Not applicable.

Competing interests

The authors have no conflicts of interest to declare.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

Survey questionnaire. Survey questionnaire developed to examine the pattern of CAM use among Koreans during the 2015 MERS outbreak in Korea.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hwang, J.H., Cho, H.J., Im, H.B. et al. Complementary and alternative medicine use among outpatients during the 2015 MERS outbreak in South Korea: a cross-sectional study. BMC Complement Med Ther 20, 147 (2020). https://doi.org/10.1186/s12906-020-02945-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12906-020-02945-0

Keywords