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Open Access Research article

Patterns of medical pluralism among adults: results from the 2001 National Health Interview Survey in Taiwan

Chun-Chuan Shih1, Yi-Chang Su1, Chien-Chang Liao23 and Jaung-Geng Lin1*

Author Affiliations

1 School of Chinese Medicine, China Medical University, Taichung, Taiwan

2 Institute of Environmental Health, College of Public Health, China Medical University, Taichung, Taiwan

3 Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan

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BMC Health Services Research 2010, 10:191  doi:10.1186/1472-6963-10-191


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1472-6963/10/191


Received:16 June 2009
Accepted:6 July 2010
Published:6 July 2010

© 2010 Shih et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Medical pluralism (MP) can be defined as the employment of more than one medical system or the use of both conventional and complementary and alternative medicine (CAM) for health and illness. A population-based survey and linkage with medical records was conducted to investigate MP amongst the Taiwanese population. Previous research suggests an increasing use of CAM worldwide.

Methods

We collected demographic data, socioeconomic information, and details about lifestyle and health behaviours from the 2001 Taiwan National Health Interview Survey. The medical records of interviewees were obtained from National Health Insurance claims data with informed consent. In this study, MP was defined as using both Western medicine and traditional Chinese medicine (TCM) services in 2001. The odds ratio (OR) and 95% confidence interval (CI) were estimated for factors associated with adopting MP in univariate and multiple logistic regression.

Results

Among 12,604 eligible participants, 32.5% adopted MP. Being female (OR = 1.44, 95% CI = 1.30 - 1.61) and young (OR = 1.38, 95% CI = 1.15 - 1.66) were factors associated with adopting MP in the multiple logistic regression. People with healthy lifestyles (OR = 1.35, 95% CI = 1.19 - 1.53) were more likely to adopt MP than those with unhealthy lifestyles. Compared with people who had not used folk therapy within the past month, people who used folk therapy were more likely to adopt MP. The OR of adopting MP was higher in people who lived in highly urbanised areas as compared with those living in areas with a low degree of urbanisation. Living in an area with a high density of TCM physicians (OR = 2.19, 95% CI = 1.69 - 2.84) was the strongest predictor for adopting MP.

Conclusion

MP is common in Taiwan. Sociodemographic factors, unhealthy lifestyle, use of folk therapy, and living in areas with a high density of TCM physicians are all associated with MP. People who had factors associated with the adoption of MP may be at risk for adverse health effects from interactions between TCM herbal medicine and WM pharmaceuticals.

Background

The increasing use of complementary and alternative medicine (CAM) in children and adults has been investigated in Eastern and Western countries [1-16], and this interesting phenomenon has attracted physicians' attention [17-19]. Many physicians recognize that their patients are interested in using CAM therapies, some physicians are very interested in learning more about CAM [17]. Eisenberg suggested that medical doctors should ask about their patients' use of unconventional therapy whenever they obtain a medical history [1]. The utilisation of traditional Chinese medicine (TCM) is not uncommon in Taiwan [11,16,20-25] and other Asian countries [4,11,15,16,20,22,26]. It was estimated that the one-month, one-year, and six-year utilization of TCM service in Taiwan were 10.4%, 28.4%, and 62.5%, respectively [23,25]. Western medicine (WM) is believed to be useful all over the world, while the traditional medicine of India, China, Korea, Taiwan and other countries are also well established and commonly used [4,9-11,13,16,20,22,25-28].

Medical pluralism (MP) can be defined as the employment of more than one medical system or the use of both conventional medicine and CAM for health and illness [29]. Previous researches have documented the increased adopting MP for China, Sri Lanka, and the United States [28-33]. A small-scale study conducted with self-reported medical questionnaires reported MP in Taiwan more than ten years ago [21]. However, the recent patterns of MP and associated factors in Taiwan and other countries need to be investigated more closely.

Demographic characteristics and factors related to an individual's health status are associated with CAM use [34]. For example, Shih et al. [25] reported that being female, highly educated, or having a self-reported poor health status were predictive factors associated with TCM use. To the best of our knowledge, there have been no studies reporting factors associated with MP. Using the National Health Interview Survey (NHIS) and data from the National Health Insurance (NHI) system, this study reports on factors associated with adopting MP among adults aged 18 years and older in Taiwan.

Methods

Study design and data collection

In 2001, the National Health Research Institute and the Bureau of Health Promotion of Taiwan conducted a nationwide NHIS using face-to-face questionnaire interviews. The population of Taiwan is approximately 23 million, distributed throughout 7 cities and 18 counties. The 2001 NHIS included a representative sample of 22,121 interviews from the non-institutional population. The interviewees were all residents, and each interview was performed at the subject's home. All subjects interviewed were selected from the household census. With the standardised face-to-face questionnaire interview, the NHIS used a multistage, stratified sampling scheme to collect a representative sample of the population of Taiwan. The 2001 NHIS was a cross-sectional survey, and the sampling and measurement details are described elsewhere [16,35]. The response rate was 94% for individual subjects. At the end of the NHIS, the participants were asked for permission to access their NHI records for research purposes [36]. Among all the participants, 88% gave consent, and 12% denied consent. No discrepancy in age or gender was found between individuals who consented and those who refused [36].

Both the 2001 NHIS and the 2001 NHI claims data were used in this study. With the informed consent of eligible participants, the 2001 NHIS data were linked to the 2001 NHI claims data. The NHI database included ambulatory care, inpatient care, dental service, prescription drugs, registration file, and scrambled identification numbers released for public access. All Taiwanese residents are eligible to receive health service under the NHI system. The NHI is a type of compulsory insurance for ensuring all residents can obtain equal and complete health care. As of 2008, the NHI covered more than 99% of all Taiwan residents. The data contained information on gender, date of birth, encrypted patient identification numbers, dates of admission and discharge, International Classification of Diseases (ICD) codes of discharge diagnoses (up to 5), operative procedures (up to 5), and discharge costs (i.e., expenditures) by admission.

All eligible participants in this study were 18 years or older at the time, and their use of WM and/or TCM was drawn from the NHI claims data. The 2001 NHIS included questions relating to sociodemographic factors, self-perceived health status, self-reported height and weight, medical services utilisation, lifestyles and heath behaviours.

Definition and measures

We have defined MP, TCM, and folk therapy (FT) in the following section.

Medical pluralism (MP)

In this study, we defined those adopting MP as people who had used both WM and TCM at least one time each in 2001. The use of WM or TCM was reported in NHI medical records. The visits for TCM and WM ambulatory care were considered as the use of TCM and WM, respectively. In Taiwan, TCM is included in the NHI system only in the case of ambulatory care, not for inpatient care. In addition, only licensed TCM physicians qualify for reimbursement from the NHI. Importantly, internal medicine, surgical medicine, and emergency medicine records were included in the WM category. Because TCM-hospitalisation is not covered under the NHI, we did not report inpatient TCM service in this study. At the end of 2001, there were 2 public TCM hospitals, 42 private TCM hospitals and 2,544 private TCM clinics providing TCM ambulatory care [11].

Traditional Chinese medicine (TCM)

TCM includes herbal medicine, acupuncture, moxibustion, bone reduction, traditional trauma treatment, traditional dislocation treatment, traditional fracture treatment, Tuina, Baguan, and other therapies. TCM practitioners are registered TCM physicians and practice in a hospital or clinic. TCM in Taiwan is legal, and TCM physicians can advertise the medical benefits of TCM according to medical law in Taiwan.

Folk therapy (FT)

In this study, FT use is defined as utilisation of folk therapy within the past month. The types of FT included Gua Sha (scraping skin), Tuina (massage and kneading), Baguan (vacuum bottle therapy), bone setting, spine alignment, Qigong, divination, written charms, shaman consultation, talismans, incense ash, and other related therapies. There may be some overlap between what is considered TCM versus FT. The difference, however, lies in the legality. FT practitioners are not registered physicians and do not practice in a hospital or clinic. Legislation from the Department of Health in Taiwan has declared that FT practitioners cannot claim any medical benefits for FT. They are not registered physicians and do not have any certifications or legal licenses. FT practitioners do not work in clinical settings in Taiwan.

The definition and classification of urbanisation and unhealthy lifestyles are as follows.

Urbanisation

There are 359 townships and city districts in Taiwan. We calculated the population density (persons/km2) by dividing the population (persons) by the area (km2) for each of these administrative units. The first, second, and third tertiles were considered as areas of low, moderate and high urbanisation, respectively [37]. We calculated the density of physicians (physicians/10,000 persons) by using the number of physicians per 10,000 persons for each of the administrative units. The first, second, and third tertiles were considered as areas of low, moderate, and high physician density, respectively.

Unhealthy lifestyle

A high prevalence of cigarette smoking, alcohol drinking, and betel quid chewing was found in Taiwan [38]. In this study, people with a habit of tobacco smoking and/or alcohol drinking and/or areca chewing were considered to have unhealthy lifestyles that are associated with cancer and other diseases [38-40].

In accordance with regulations from the Department of Health in Taiwan, stroke, chronic obstructive pulmonary disease, cancer, chronic renal failure, autoimmune disease, chronic psychological disease, congenital metabolic disorders, rare diseases, and organ transplantation were considered severe diseases in this study.

Statistical analysis

The eligible study subjects were divided into two groups: one group of MP users and another of non-MP users. The distribution of categorical variables such as sociodemographic factors, lifestyles, disease states, and health behaviours in each group were compared using a Chi-square test. The odds ratio (OR) and 95% confidence interval (CI) were estimated for factors associated with adopting MP using multiple logistic regression. We used Hosmer-Lemeshow statistics [41] for assessing the goodness of fit of the logistic regression model. We also calculated the rate of adoption of MP in relation to a variety of participant characteristics.

Results

We excluded 5,993 participants below 18 years of age. We also excluded 2,047 adult participants whose claims were denied, according to their NHI medical records. Further, we excluded those that did not use WM or TCM in 2001 (n = 1,477). However, there were no significant differences in the age (p = 0.06) or the sex (p = 0.96) of participants versus non-participants. Finally, there were 12,604 eligible participants included in this study, 32.5% of whom adopted MP (Table 1). Among the 12,416 people that used WM in 2001, 33.0% of them also used TCM. On the other hand, 4,094 of the 4,282 TCM-visiting patients used WM (95.6%) in 2001 (not shown in the tables).

Table 1. Sociodemographic factors of study participants by medical pluralism

The Chi-square test showed that women in Taiwan had a higher rate than men of adopting MP (37.4% vs. 27.1%, p < 0.0001). People aged 30 - 49 years had a higher rate of MP adoption than those aged 65 years and above. The corresponding rate was higher in people with higher education than in people without higher education (32.9% vs. 28.2%, p < 0.0001). A significant difference in adopting MP could also be found based on occupation (p < 0.0001), family income (p < 0.0001), and degree of urbanisation (p < 0.0001) in the Chi-square tests.

Table 2 showed that the rate of adopting MP was higher in people with no unhealthy lifestyle factors than in those who had at least two unhealthy lifestyle factors (35.8% vs. 25.2%, p < 0.0001). The Chi-square test also showed that people who used FT were more likely to adopt MP than people with no FT use (49.0% vs. 31.4%, p < 0.0001). Living in an area with a high density of TCM physicians (p < 0.0001) was associated with adopting MP. The Spearman's correlation coefficient showed that highly urbanised areas were also areas with a high density of TCM physicians (r = 0.62, p < 0.0001) (not shown in the tables).

Table 2. Health behaviours and physician density factors of study participants by medical pluralism

Table 3 showed the OR and 95% CI of factors associated with MP in the univariate and multiple logistic regressions. The Hosmer-Lemeshow statistics provided a p-value of 0.67 (Chi-square = 5.83), indicating that the overall model fit is good. Compared with men, women were more likely to adopt MP (OR = 1.44, 95% CI = 1.30 - 1.61). Age, education, occupation and family income were also associated with adopting MP in the multiple logistic regression. People who lived in an area with a high density of TCM physicians had a higher likelihood of adopting MP than those who lived in areas with a low density of TCM physicians (OR = 2.19, 95% CI = 1.69 - 2.84). The OR was higher in people that had used FT than in people with no use of FT (OR = 1.90, 95% CI = 1.63 - 2.23). Having no unhealthy lifestyle factors was also associated with adopting MP (OR = 1.35, 95% CI = 1.19 - 1.53). However, the density of WM physicians was not associated with adopting MP in the multiple logistic regression.

Table 3. Odds ratios and 95% confidence intervals of factors associated with medical pluralism in the univariate and multiple logistic regression

The characteristics of people with a high rate of MP adoption are shown in Table 4. Women aged 30 - 49 years who had no unhealthy lifestyle factors, used FT, had a family income of 30,000 - 49,999 NTD, and lived in an area with a high density of TCM physicians had the highest rate of MP adoption (64.7%).

Table 4. Characteristics of people adopting medical pluralism

Discussion

From the results of this study, we found that the MP adoption rate was as high as 32.5% among adults who had medical visits in 2001 in Taiwan. Sociodemographic factors were significant factors associated with adopting MP. The most significant factor for adopting MP was living in an area with a high density of TCM physicians. These data challenge the biomedical profession's previous assumption that a single biomedical system defines our society's health care practices [35]. To the best of our knowledge, our study is the first large-scale study to report on the prevalence of adopting MP and the associated factors in Taiwan.

Demographic factors such as age and sex were found to be associated with a patient's choice of WM or TCM [11,21]. Young and middle-aged adults were more likely than older people to use TCM in Taiwan; this trend also extends to Caucasians [9,16,24]. A previous study suggested that young people seek more effective ways to improve their well-being and health and to relieve disease symptoms [23]. As a result, it is reasonable that younger people had a higher likelihood of using MP than older people in this study. One study indicated that females' intake of TCM herbal medicine is helpful in maintaining regular menstruation [42]. This is one explanation that may help explain why females were more likely to adopt MP.

Socioeconomic factors were important factors associated with the use of medical services [43-51]. People with a higher socioeconomic status (SES) were more likely to use CAM or TCM than those with a low SES. Many studies also reported that a higher SES was associated with using biomedical health services and physical examinations [16,21,22,46-50]. Those with a higher SES had a greater likelihood of using medical services without insurance payment than people with a low SES [16,21-23]. We failed to find, however, an association between SES and MP adoption based on the results of this study. This is mainly because TCM was covered in the NHI, and people in Taiwan do not generally need to pay much additional money to use medical services.

In this study, we found that people living in highly urbanised areas had a higher OR of adopting MP. Generally speaking, urbanisation is positively correlated with the density of medical services. People living in highly urbanised areas had more opportunities to access various conventional or non-conventional therapies. Moreover, people living in areas with a low degree of urbanisation also tended to have poorer access to medical services. Previous studies have found that high levels of urbanisation are associated with a higher volume of medical use in Taiwan [23,25].

Economic expansion is a major determinant of physician supply and medical utilisation [52,53]. The relationship between the increasing use of TCM and the growth in the number of TCM physicians in Taiwan has been investigated [54]. In Taiwan, Chinese medical care services exhibit a physician-induced demand situation and the increase in Chinese medical care expenditures was caused by the growth of Chinese medical physicians from 1996 to 1999 [54]. We found that living in areas with a high density of TCM physicians was the strongest predictor of adopting MP. However, living in areas with a high density of WM physicians was not associated with adopting MP in this study.

Highly urbanised areas were also areas with a high density of TCM physicians in this study (data shown in the results section). The lack of TCM physicians in rural areas is also an important medical problem for Taiwan. Specifically, 105 of 359 (29.2%) towns in Taiwan do not have any TCM physicians. It is reasonable to posit that an increase in the supply of WM or TCM services may increase medical use. Furthermore, in this study, one out of three WM-using people used TCM in 2001, while 95% of TCM-using people used WM (data shown in the results section). This revealed that people who lived in areas with an increased density of TCM physicians had a greater opportunity to utilise TCM services[25].

FT users were more likely to adopt MP than FT non-users in our study. WM is the mainstream in Taiwan and other developed countries, though TCM is legal in Taiwan and covered by NHI. Some parts of FT are similar to TCM. However, practitioners of FT are not licensed and cannot declare that their therapy has any medical benefits because of the medical legislation in Taiwan [16].

Our study results implied that people who adopted MP were potentially at risk of the combined use of Chinese herbal medicine and biomedical pharmaceuticals. Specifically, the combined use of warfarin and danshen may result in over-anticoagulation and bleeding complications [55,56]. Further, Page et al. [57] found that there was a twofold elevation in prothrombin time and international normalised ratio after taking dong quai and warfarin concurrently for 4 weeks. It has been reported that the concurrent use of ephedra and theophylline may lead to hypertension [58]. Intake of ginseng may increase the side effects of steroids [59,60]. The increasing use of CAM has also been investigated in the United States and other Western countries [1-10,12,13,15]. This study points to the need to continue monitoring and investigating the interaction between CAM and WM in Western countries, a suggestion that has been mentioned in previous studies [29,32].

In this study, we found that a high percentage (88%) of adults gave consent for their NHI records and questionnaire results to be linked. People who refused to give consent for accessing their NHI medical records may have done so because of confidentiality and privacy concerns. One plausible explanation is that some of the participants may have been hesitant to give consent because of ineffective communication or a lack of trust between themselves and the interviewers [36].

The fact that we used data from a large survey that represented the non-institutionalised Taiwan population is the main strength of this study. The study still has some limitations, however. One limitation of this study is that it is a cross-sectional perspective on MP and does not provide any information about whether it is increasing or decreasing over time or whether the characteristics of adopters are changing over time. Recall bias has been given considerable attention in textbooks and methodological research because of its potential to jeopardise the validity of epidemiologic results [61]. We also understand that the results of this study may be biased if respondents misreported their sociodemographic and health behaviours. Another potential limitation is the definition of MP that was adopted and its consistency with the definition used in previous research [29,32].

Conclusion

We found that adopting MP is common in Taiwan, and we found several predictive sociodemographic factors. People living in highly urbanised areas had more opportunities to access various conventional and non-conventional therapies. The types of diseases that prompt people to adopt MP need to be determined in further studies. This study investigated the high degree of MP use, which points to the need to investigate the interaction between WM pharmaceuticals and TCM herbal medicine and the effects of their combined use on health in further studies. People may need to be screened for factors associated with the adoption of MP because they may be at risk for adverse health effects from TCM herbal interactions with WM pharmaceuticals.

Abbreviations

CAM: complementary and alternative medicine; FT: folk therapy; NHI: National Health Insurance; NHIS: National Health Interview Survey; MP: medical pluralism; OR: odds ratio; CI: confidence interval; SES: socioeconomic status; TCM: traditional Chinese Medicine; WM: Western medicine.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

CCS and CCL developed the study concept, conducted data analyses and initiated the draft. YCS and JGL helped the acquisition of data and revised the manuscript critically for the important content. CCL served as a methodological consultant and a statistical consultant. All authors read and approved the final manuscript.

Acknowledgements

This study is based in part on data from the NHIS provided by the Bureau of Health Promotion, Department of Health and National Health Research Institutes. This study was supported partly by a grant from the Taipei Chinese Medical Association, Taiwan (TCMA97-AR-101), China Medical University Hospital (grant number 1MS1), and Taiwan Department of Health Clinical Trial and Research Center for Excellence (grant number DOH99-TD-B-111-004).

References

  1. Eisenberg DM, Kessler RC, Foster C, Norlock FE, Calkins DR, Delbanco TL: Unconventional medicine in the United States. Prevalence, costs, and patterns of use.

    N Eng J Med 1993, 328:246-252. Publisher Full Text OpenURL

  2. Eisenberg DM, Davis RB, Ettner SL, Appel S, Wilkey S, Rompay MV, Kessler RC: Trends in alternative medicine use in the United States, 1990-1997: results of a follow-up national survey.

    JAMA 1998, 280:1569-1575. PubMed Abstract | Publisher Full Text OpenURL

  3. Kessler RC, Davis RB, Foster DF, Rompay MIV, Walters EE, Wilkey SA, Kaptchuk TJ, Eisenberg DM: Long-term trends in the use of complementary and alternative medical therapies in the United States.

    Ann Intern Med 2001, 135:262-268. PubMed Abstract | Publisher Full Text OpenURL

  4. Kim M, Han HR, Kim KB, Duong DN: The use of traditional and western medicine among Korean American elderly.

    J Community Health 2002, 27:109-120. PubMed Abstract | Publisher Full Text OpenURL

  5. Davis MP, Darden PM: Use of complementary and alternative medicine by children in the United States.

    Arch Pediatr Adolesc Med 2003, 157:393-396. PubMed Abstract | Publisher Full Text OpenURL

  6. Barnes PM, Powell-Griner E, McFann K, Nahin RL: Complementary and alternative medicine use among adults: United States, 2002.

    Adv Data 2004, 343:1-20. PubMed Abstract | Publisher Full Text OpenURL

  7. Graham RE, Ahn AC, Davis RB, O'Connor BB, Eisenberg DM, Phillips RS: Use of complementary and alternative medical therapies among racial and ethnic minority adults: results from the 2002 National Health Interview Survey.

    J Natl Med Assoc 2005, 97:535-545. PubMed Abstract | PubMed Central Full Text OpenURL

  8. Tindle HA, Davis RB, Phillips RS, Eisenberg DM: Trends in use of complementary and alternative medicine by US adults: 1997-2002.

    Altern Ther Health Med 2005, 11:42-49. PubMed Abstract OpenURL

  9. Burke A, Upchurch DM, Dye C, Chyu L: Acupuncture use in the United States: findings from the National Health Interview Survey.

    J Altern Complement Med 2006, 12:639-648. PubMed Abstract | Publisher Full Text OpenURL

  10. MacPherson H, Sinclair-Lian N, Thomas K: Patients seeking care from acupuncture practitioners in the UK: a national survey.

    Complement Ther Med 2006, 14:20-30. PubMed Abstract | Publisher Full Text OpenURL

  11. Chen FP, Chen TJ, Kung YY, Chen YC, Chou LF, Chen FJ, Hwang SJ: Use frequency of traditional Chinese medicine in Taiwan.

    BMC Health Serv Res 2007, 7:26. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  12. Lai D, Chappell N: Use of Traditional Chinese Medicine by older Chinese immigrants in Canada.

    Fam Pract 2007, 24:56-64. PubMed Abstract | Publisher Full Text OpenURL

  13. Wu AP, Burke A, LeBaron S: Use of traditional medicine by immigrant Chinese patients.

    Fam Med 2007, 39(3):195-200. PubMed Abstract | Publisher Full Text OpenURL

  14. Xue CCL, Zhang AL, Lin V, Costa CDA, Story DF: Complementary and alternative medicine use in Australia: a national population-based survey.

    J Altern Complement Med 2007, 13:643-650. PubMed Abstract | Publisher Full Text OpenURL

  15. Kemper KJ, Vohra S, Walls R: The use of complementary and alternative medicine in pediatrics.

    Pediatrics 2008, 122:1374-1386. PubMed Abstract | Publisher Full Text OpenURL

  16. Shih SF, Lew-Ting CY, Chang HY, Kuo KN: Insurance covered and non-covered complementary and alternative medicine utilisation among adults in Taiwan.

    Soc Sci Med 2008, 67:1183-1189. PubMed Abstract | Publisher Full Text OpenURL

  17. Wetzel MS, Eisenberg DM, Kaptchuk TJ: Courses involving complementary and alternative medicine at US medical schools.

    JAMA 1998, 280:784-787. PubMed Abstract | Publisher Full Text OpenURL

  18. Kemper KJ, O'Connor KG: Pediatricians' recommendations for complementary and alternative medical therapies.

    Ambul Pediatr 2004, 4:482-487. PubMed Abstract | Publisher Full Text OpenURL

  19. Cohen MH, Kemper KJ: Complementary therapies in pediatrics: a legal perspective.

    Pediatrics 2005, 115:774-780. PubMed Abstract | Publisher Full Text OpenURL

  20. Chi C: Integrating traditional medicine into modern health care systems: examining the role of Chinese medicine in Taiwan.

    Soc Sci Med 1994, 39:307-321. PubMed Abstract | Publisher Full Text OpenURL

  21. Kang JT, Chen CF, Chou P: Factors related to the choice between traditional Chinese medicine and modern Western medicine among patients with two-method treatment.

    Chin Med J (Taipei) 1996, 57:405-412. OpenURL

  22. Chi C, Lee JL, Lai JS, Chen SC, Chen CY, Chang SK: Utilization of Chinese medicine in Taiwan.

    Altern Ther Health Med 1997, 3:40-53. PubMed Abstract OpenURL

  23. Chang LC, Huang N, Chou YJ, Lee CH, Kao FY, Huang YT: Utilization patterns of Chinese medicine and Western medicine under the National Health Insurance Program in Taiwan, a population-based study from 1997 to 2003.

    BMC Health Serv Res 2008, 8:170. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  24. Daly M, Tai CJ, Deng CY, Chien LY: Factors associated with utilization of traditional Chinese medicine by white collar foreign workers living in Taiwan.

    BMC Health Serv Res 2009, 9:10. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  25. Shih CC, Lin JG, Liao CC, Su YC: The utilization of traditional Chinese medicine and associated factors in Taiwan in 2002.

    Chin Med J 2009, 122:1544-1548. PubMed Abstract | Publisher Full Text OpenURL

  26. Chi C, Lee JL, Lai JS, Chen CY, Chang SK, Chen SC: The practice of Chinese medicine in Taiwan.

    Soc Sci Med 1996, 43:1329-1348. PubMed Abstract | Publisher Full Text OpenURL

  27. Wolffers I: Factors that influence patients in Sri Lanka in their choice between Ayurvedic and Western medicine.

    Br Med J 1985, 291:970. Publisher Full Text OpenURL

  28. Waxler-Morrison NE: Plural medicine in Sri Lanka: do Ayurvedic and Western medical practices differ?

    Soc Sci Med 1988, 27:531-544. PubMed Abstract | Publisher Full Text OpenURL

  29. Wade C, Chao M, Kronenberg F, Cushman L, Kalmuss D: Medical pluralism among American women: results of a national survey.

    J Womens Health 2008, 17:829-840. Publisher Full Text OpenURL

  30. Waxler NE: Behavioral convergence and institutional separation: an analysis of plural medicine in Sri Lanka.

    Cult Med Psychiatry 1984, 8(2):187-205. PubMed Abstract | Publisher Full Text OpenURL

  31. Chung V, Wong E, Woo J, Lo SV, Griffiths S: Use of traditional Chinese medicine in the Hong Kong Special Administrative Region of China.

    J Altern Complement Med 2007, 13:361-367. PubMed Abstract | Publisher Full Text OpenURL

  32. Wade C, Chao MT, Kronenberg F: Medical pluralism of Chinese women living in the United States.

    J Immigr Minor Health 2007, 9:255-267. PubMed Abstract | Publisher Full Text OpenURL

  33. Chung VCH, Lau CH, Yeoh EK, Griffiths SM: Age, chronic non-communicable disease and choice of traditional Chinese and western medicine outpatient services in a Chinese population.

    BMC Health Serv Res 2009, 9:207. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  34. Bishop FL, Lewith GT: Who uses CAM? A narrative review of demographic characteristics and health factors associated with CAM use.

    eCAM 2010, 7:11-28. OpenURL

  35. Shih YT CH, Liu JP, Lin HS, Chang MC, Chang FC: The design, contents, operation and the characteristics of the respondents of the 2001 National Health Interview Survey in Taiwan.

    Taiwan Journal of Public Health 2003, 22:419-430. OpenURL

  36. Huang N, Shih SF, Chang HY, Chou YJ: Record linkage research and informed consent: who consent?

    BMC Health Serv Res 2007, 7:18. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  37. Liao CC, Li TC, Lin RS, Sung FC: Urban and rural difference in prevalence and incidence of stroke in 2000 in Taiwan.

    Taiwan J Public Health 2006, 25:223-230. OpenURL

  38. Liu CC, Huang SP, Wu WJ, Chou YH, Juo SH, Tsai LY, Huang CH, Wu MT: The impact of cigarette smoking, alcohol drinking, and betel quid chewing on the risk of calcium urolithiasis.

    Ann Epidemiol 2009, 19:539-545. PubMed Abstract | Publisher Full Text OpenURL

  39. Pisinger C, Toft U, Aadahl M, Glümer C, Jørgensen T: The relationship between lifestyle and self-reported health in a general population: the Inter99 study.

    Prev Med 2009, 49:418-423. PubMed Abstract | Publisher Full Text OpenURL

  40. Gall SL, Abbott-Chapman J, Patton GC, Dwyer T, Venn A: Intergenerational educational mobility is associated with cardiovascular disease risk behaviours in a cohort of young Australian adults: the Childhood Determinants of Adult Health (CDAH) Study.

    BMC Public Health 2010, 10:55. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  41. Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S: A comparison of goodness-of-fit tests for the logistic regression models.

    Stat Med 1997, 16:965-980. PubMed Abstract | Publisher Full Text OpenURL

  42. Yeh LL, Liu JY, Lin KS, Liu YS, Chiou JM, Liang KY, Tsai TF, Wang LH, Chen CT, Huang CY: A randomised placebo-controlled trial of a traditional Chinese herbal formula in the treatment of primary dysmenorrhoea.

    PLoS ONE 2007, 2:e719. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  43. Ahmed SM, Adams AM, Chowdhury M, Bhuiya A: Gender, socioeconomic development and health-seeking behaviour in Bangladesh.

    Soc Sci Med 2000, 51:361-371. PubMed Abstract | Publisher Full Text OpenURL

  44. Amre DK, Infante-Rivard C, Gautrin D, Malo JL: Socioeconomic status and utilization of health care services among asthmatic children.

    J Asthma 2002, 39:625-631. PubMed Abstract | Publisher Full Text OpenURL

  45. Pulkki L, Keltikangas-Jarvinen L, Ravaja N, Viikari J: Child-rearing attitudes and cardiovascular risk among children: moderating influence of parental socioeconomic status.

    Prev Med 2003, 36:55-63. PubMed Abstract | Publisher Full Text OpenURL

  46. Yu TS, Wong TW: Socioeconomic distribution of health and health care utilization in a new town in Hong Kong, China.

    Biomed Environ Sci 2004, 17:234-245. PubMed Abstract OpenURL

  47. Demeter S, Reed M, Lix L, MacWilliam L, Leslie WD: Socioeconomic status and the utilization of diagnostic imaging in an urban setting.

    CMAJ 2005, 173:1173-1177. PubMed Abstract | PubMed Central Full Text OpenURL

  48. Whelan AM, Cooke CA, Sketris IS: The impact of socioeconomic and demographic factors on the utilization of smoking cessation medications in patients hospitalized with cardiovascular disease in Nova Scotia, Canada.

    J Clin Pharm Ther 2005, 30:165-171. PubMed Abstract | Publisher Full Text OpenURL

  49. Yazdany J, Gillis JZ, Trupin L, Katz P, Panopalis P, Criswell LA, Yelin E: Association of socioeconomic and demographic factors with utilization of rheumatology subspecialty care in systemic lupus erythematosus.

    Arthritis Rheum 2007, 57:593-600. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  50. Landy CK, Sword W, Ciliska D: Urban women's socioeconomic status, health service needs and utilization in the four weeks after postpartum hospital discharge: findings of a Canadian cross-sectional survey.

    BMC Health Serv Res 2008, 8:203. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  51. Roy K, Chaudhuri A: Influence of socioeconomic status, wealth and financial empowerment on gender differences in health and healthcare utilization in later life: evidence from India.

    Soc Sci Med 2008, 66:1951-1962. PubMed Abstract | Publisher Full Text OpenURL

  52. Cooper RA, Getzen TE, Laud P: Economic expansion is a major determinant of physician supply and utilization.

    Health Serv Res 2003, 38(2):675-696. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  53. Tsai WC, Kung PT, Chang WC: Influences of market competition on dental care utilization under the global budget payment system.

    Community Dent Oral Epidemiol 2007, 35:459-464. PubMed Abstract | Publisher Full Text OpenURL

  54. Tsai WC, Kung PT: Relationship between Chinese medical utilization and growth of physicians.

    Taiwan J Public Health 2001, 20:463-474. OpenURL

  55. Chan TY: Interaction between warfarin and danshen (Salvia miltiorrhiza).

    Ann Pharmacother 2001, 35:501-503. PubMed Abstract | Publisher Full Text OpenURL

  56. Izzo AA, Di Carlo G, Borrelli F, Ernst E: Cardiovascular pharmacotherapy and herbal medicines: the risk of drug interaction.

    Int J Cardiol 2005, 98:1-14. PubMed Abstract | Publisher Full Text OpenURL

  57. Page RL, Lawrence JD: Potentiation of warfarin by dong quai.

    Pharmacotherapy 1999, 19:870-876. PubMed Abstract | Publisher Full Text OpenURL

  58. Izzo AA, Ernst E: Interaction between herbal medicines and prescribed drugs.

    Drugs 2001, 61:2163-2175. PubMed Abstract | Publisher Full Text OpenURL

  59. Miller LG: Herbal medicinals: selected clinical considerations focusing on known or potential drug-herb interactions.

    Arch Intern Med 1998, 158:2200-2211. PubMed Abstract | Publisher Full Text OpenURL

  60. Coon JT, Ernst E: Panax ginseng: a systematic review of adverse effects and drug interactions.

    Drug Saf 2002, 25:323-344. PubMed Abstract | Publisher Full Text OpenURL

  61. Gefeller O: Invited commentary: recall bias in melanoma-much adoabout almost nothing?

    Am J Epidemiol 2009, 169:267-270. PubMed Abstract | Publisher Full Text OpenURL

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1472-6963/10/191/prepub