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Use of complementary and alternative medicine in patients with chronic liver diseases in Germany- a multicentric observational study

Abstract

Background

The use of Complementary and alternative medicine (CAM) in chronic liver disease (CLD) patients in Germany is unknown. This study investigated the frequency of CAM use and associated sociodemographic, clinical and personality factors in CLD patients in Germany.

Methods

This is a cross-sectional multicenter study of CLD patients attending liver outpatient clinics of university hospitals in Halle(-Saale) and Homburg between 2015 and 2017. Dedicated questionnaires recorded CAM use, sociodemographic and personality factors (evaluated with the “Big five” model, “Hospital Anxiety and Depression”-, “Multidimensional Health Locus of Control”- score). Uni- and multivariate analyses assessed factors associated to CAM use.

Results

Overall 378 patients were recruited, 92 (24.3%) reported to CAM use. On univariate analysis, female CAM users were older (p = 0.001) and more physically active (p = 0.002), male CAM users more often used homeopathy (p = 0.000), actively promoted their health (p = 0.010) or had UDC in their medication (p = 0.004). Logistic regression analysis adjusted for personality factors showed significant association of age, physical exercise (females) and satisfaction with alternative medicine (females, males) to CAM use.

Conclusions

CAM use is prevalent among CLD patients in Germany and is significantly associated to satisfaction with alternative medicine (females, males), physical exercise and older age (females). Doctors should actively inquire CLD patients about CAM use, as hepatotoxicity or interaction with medication can occur.

Peer Review reports

Introduction

Cirrhosis is the end-stage of chronic liver disease (CLD) due to a wide variety of different noxa. In Germany, the most common causes of cirrhosis are alcohol-associated and non- alcoholic fatty liver disease with alcohol related liver disease being the most frequent [1]. In patients with chronic liver disease, one of the main elements of therapy is the treatment of the etiological cause, which frequently involves lifestyle modifications. However, adherence to these modifications may be challenging.

Complementary and alternative medicines (CAM) have been described by the National Center for Complementary and Alternative Medicine (NCCAM) as “diverse medical and health care systems, practices and products that are not presently considered to be part of conventional medicine” [2]. The use and frequency of CAM varies in different countries [3, 4], with rates of use within the general population between 40 and 62% in Germany [5, 6] and 19–62% in the US [7,8,9,10]. CAM use in Western general populations has been shown to be associated with female gender, higher income and education levels and older age [7, 11,12,13,14]. In the setting of CLD, CAM are used for the remedy of conditions potentially related to CLD as well as to target the underlying causes of CLD [12, 15]. Its use has been linked to higher levels of education and income, female gender and poorer health status either due to hospitalization for CLD or comorbidities, or poorer rating of general health by patients in the US, Canada, and Ireland [9, 12, 15,16,17,18,19,20]. As to date, there is no information about CAM use in CLD patients in Germany. Nevertheless, there is a long tradition of CAM use in Germany [21], some of which are funded by health insurance companies.

The aim of the study was to evaluate the prevalence of use of CAM in out-patients with CLD under hepatological care in an academic setting in Germany and to identify factors are associated with its use in this at-risk patient population.

Methods

Data source and collection

Study design

This study was a multicentric, cross-sectional, observational study including patients with chronic liver disease based in Germany. Approval from the ethics board of the University Halle- Saale was obtained (Ethics approval number 2017-17). All patients signed an informed consent before participation in the study.

Study population

All patients with chronic liver disease who attended the outpatient liver clinics of two German university hospitals between 11/2015 and 11/2017 were proposed to participate in the study. Exclusion criteria were (a) lack of chronic liver disease as defined by increased serum activities of liver transaminases or GGT for less than 6 months, (b) patients with benign liver lesions such as focal nodular hyperplasia or hepatocellular adenoma without increase in liver transaminases or GGT, (c) patients who did not agree to participate in the study.

Data collection

Patients who attended the outpatient clinic several times during the study period were included only once in the study. All patients underwent an interview with a study member (AR and BD), who then helped the patient complete the questionnaire at the time of a planned outpatient visit. This interview was done in a quiet place with sufficient privacy prior to the medical consultation. The study team member who performed the interview was independent of the team responsible for the medical management of the patient. The attending physician was not aware of the answers of the patient. Information regarding present or past use of CAM was collected; the definition of “complementary medicine” being health care approaches not typically found in conventional medicine used in combination with conventional medicine or “alternative medicine” when these forms of treatment were used instead of conventional medicine [2]. No differentiation was made between traditional medicine, i.e. medical practices rooted in a country´s traditions, and alternative medicine. CAM and other health promoting measures associated with liver health but also taken for other indications (e.g. general well- being, weight loss) were sourced from NCCAM (https://www.nccih.nih.gov). The questionnaire (in German only, additional file 1) was developed with the support of a psychologist (EL).

Collected data

The following variables were collected:

Medical

Etiology and stage of liver disease (CLD, compensated cirrhosis and decompensated cirrhosis) were recorded. Furthermore, the presence and amount of clinically significant comorbidities, e.g. chronic renal failure, chronic obstructive pulmonary disease, coronary heart disease and any hospital stays within the past five years, irrespective of being liver related, were documented.

CAM related

The type of CAM was classified as herbal medicine taken either as tea, extract or in powdered form (milk thistle, grapefruit, artichoke, grape seed extract, prickly pear, chamomile, microalgae (spirulina, chlorella), berries (Açai-, goji-, blue-, barberries), glycyrrhizin), dietary supplements (vitamins, choline). Ongoing or past use of CAM were considered. Patients were also interviewed regarding change of symptoms or clinical state related to CAM use (symptom relief, overall increase of wellbeing) and whether any information of the family doctor concerning CAM use had taken place. The source of recommendation for CAM use was documented. Finally, further means of health improvement apart from medication, such as diet, physical exercise and homeopathy, were recorded. The term “mental” referred to meditation, prayer or autogenic training, taking no further measures to improve one´s health apart from the prescribed medication (i.e. not pertaining a healthy lifestyle) was referred to as “nothing”.

Socioeconomic factors

Participants’ highest educational attainment, employment and marital status, and religion were recorded. No/ basic education included participants who left school before attaining at least a high school degree. However, all participants were able to provide an informed consent to take part in the study. Alcohol intake was recorded as the most widespread substance use.

Psychometric tests

Three psychometric tests were used to characterize the psychological traits of the participants. The tests´ internal consistency was measured with Cronbach´s alpha with values > 0.7 implying an acceptable and values over > 0.9 an excellent reliability of the test. The extent to which participants attributed their health to their own actions or to external agents was evaluated with the “Multidimensional Health Locus of Control” (MHLC) [22, 23] score, modified to the needs of this study by reducing the original three 6 item subscales to three 3 item subscales. The MHLC scale consisted of three 3- item Likert- type scales for the dimensions “internal”, “chance” and “powerful others” designed to assess the extent to which individuals attributed the outcome of their health to either one´s own behavior, chance or external agents such as doctors, with higher scores reflecting stronger beliefs. The reported reliability is moderate, Cronbach´s alpha ranging between 0.60 and 0.75 [23]. The assessment of personality traits was based on the “Big five” factor model [24] which was translated into the German language. This model consists of a list of adjectives representing different aspects of personality: Openness to experience (α = 0.77), Conscientiousness (α = 0.57), Extroversion (α = 0.78), Agreeableness (α = 0.80), Neuroticism (α = 0.74). Cronbach´s alphas for the “Big five” score were based on the US- American MIDUS national sample [25,26,27]. Four- item Likert- type scales were used to describe the degree of expression for each aspect of personality. Anxiety and depression levels were evaluated with the German version of the “Hospital Anxiety and Depression Score” (HADS) made up of two 7- item Likert- type scales with higher scores reflecting an increased degree of anxiety and/ or depression [28, 29]. The Cronbach´s alpha value for the German version is reported to be > 0.80 for subscale items Anxiety and Depression [29].

Satisfaction with standard medical care

Satisfaction with medical care concerning participants´ liver disease and specifically interaction with the attending doctor as well as satisfaction with CAM was recorded using Likert scales (ten- point scales for interaction with the attending doctor, all others with five- point scales). The results were then grouped in three groups (not satisfied/ mixed response/ satisfied).

Only a subgroup of patients answered the questionnaires (n = 200) as they were introduced in the study after its initiation. Comparison of the baseline characteristics among those who did and did not answer the questionnaires showed no significant differences (Additional file 2).

Statistical analysis

Statistical analysis was performed using SSPS version 21.0 (IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.). Normality of the distribution of the variables was confirmed by means of the Kolmogorov- Smirnov test. Variables with a normal distribution were age, the “Big five” factor model, HADS, and MHLC. Missing data was not imputed. A summary of the number of missing cases for each variable is included in the additional file 3. Descriptive statistics were used to characterize the study population and CAM usage. To assess the association between the given variables and CAM use, t-tests and χ² tests were used, as appropriate. A p- value of ≤ 0.05 was defined as statistically significant. Data were analyzed separately for female/ male participants to discern any gender specific associations. All variables with a p- value < 0.1 in the univariate analysis were then included in the multivariate analysis (stepwise logistic regression analysis) to identify independent predictors of CAM use. In this analysis CAM was the dependent variable. Results are reported following the STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) cross- sectional studies checklist [30].

Results

Between November 2015 and November 2017, a total of 378 patients were recruited (Halle 300, Homburg 78). Of the 378 questionnaires, in 224 (59.3%) cases all questions in the questionnaire had been fully completed, in 154 (40.7%) cases not all questions had been answered (Additional file 3).

Sociodemographic and clinical characteristics

A total of 182/378 (48.1%) were men, and median age of the study population was 58.4 years. Table 1 presents the sociodemographic and clinical characteristics of and regular medication taken by the study population. Patients from both centers were comparable except regarding religion, etiology and severity of liver disease. Indeed, patients from Halle had more MASLD (15.0 vs. 3.8%, p = 0.008) and MetALD and ALD (28.7 vs. 14.1%, p = 0.009), whereas viral hepatitis was more frequent in Homburg (50% vs. 14.3%, p = 0.000). More severe liver disease was observed in Halle as shown by a higher proportion of decompensated cirrhosis (26.0% vs. 3.8%, p = 0.000), although cirrhosis (compensated and decompensated) in general did not prove to be more common in Halle compared with Homburg (54.3% vs. 43.6%, p = 0.091). Only 76 (20.1%) of patients did not have any further medical conditions, whereas 118 (31.2%) had one, 103 (27.2%) had two, 62 (16.4%) had three and 17 (4.5%) had four or more secondary illnesses besides the liver disease.

Table 1 Patient characteristics (demographical and clinical features)

Prevalence of CAM use

Of the 378 participants in total, 92 (24.3%) used CAM as additional therapy for their CLD and 30/92 (32.6%) patients took more than one CAM. Milk thistle 70/92 (76.1%) was taken most, followed by artichoke 32/92 (34.8%), other CAM (20.7%), L- Ornithine Aspartate (18.5%), liquorice root (1.1%), grapefruit (1.1%) and bilberries/ goji- berries (1.1%) (Additional file 4). Of note, the proportion of use of CAM was comparable between both study sites (Halle 24.3%, Homburg 24.4%) (Table 2). Other measures for promotion of health that patients undertook included physical exercise in 203/378 (53.7%) and dietary measures in 142/378 (37.7%) participants, while only 35/378 (9.3%) used homeopathy (Table 3).

Table 2 Frequency of CAM intake in patients with selected demographical and clinical features
Table 3 Frequency of conventional medication, level of education, religion and further measures taken for improvement of health and use of CAM

Information of medical personnel concerning use of CAM and satisfaction with medical treatment

A little more than half of the patients [52/92 (56.5%)] informed their physician about their CAM use. The most frequently cited reason for not reporting CAM use was that this would present no additional information and the doctor might not be familiar with the substances 15/92 (16.3%), or the doctor did not specifically ask about CAM 4/92 (4.3%). Satisfaction with conventional Western medicine was high with 188/224 (8 3.9%) of patients being very satisfied; active CAM users (female 15/27 (55.6%) and male 9/21 (42.9%)) were more satisfied with alternative medicine than CAM non-users (Table 4).

Table 4 Satisfaction with medical treatment

Univariate analysis and factors associated to CAM use

Tables 2, 3, 4 and 5 summarize the results of the univariate analysis. In women, users of CAM were significantly older: Their mean age of CAM users was 63.6 years as compared to 56.6 years in CAM non- users (p = 0.001, Table 2). Among females, etiology of liver disease (p = 0.066) tended to be different among CAM users: Here, a greater proportion of virus- caused etiology was seen with 32.0% of patients with a virus- associated etiology using CAM as compared to 18.5% of CAM non- users. No association was observed with the severity of liver disease, the number of comorbidities present or the level of education (Table 2).

Table 5 Psychometric scores in study population

Women reported more frequently to use physical exercise to further promote health (72.0% in CAM users vs. 47.3% in CAM non-users, p = 0.003; Table 2). In men, CAM users were more likely to also use homeopathy (26.2%, p < 0.001) as compared to 2.9% of men who just relied on homeopathy. Men who were CAM users actively tried to promote their health more frequently than non-users (85.7% vs. 64.7%, p = 0.010). Male patients with ursodeoxycholic acid in their regular medication were also significantly more likely to use CAM (21.4%, p = 0.004) than when not (6.4%), in female patients with ursodeoxycholic acid, significance was narrowly missed (CAM users 22.0%, CAM non- users 11.6%, p = 0.071). Both women and men who used CAM were satisfied with alternative medicine (55.6% of female users and 42.9% of male users, p < 0.001 for both; Table 4).

Table 5 displays the results of the psychometric tests. A trend to lower scores with certain personality traits of the “Big five” score in males was observed such as Extroversion with CAM users having a smaller mean value for extroversion than non-users (3.77 vs. 4.04, p = 0.047) and Agreeableness (4.21 vs. 4.47, p = 0.023). Male CAM users had also higher mean values in the aspect of “Chance” in the Multidimensional Hospital Locus of Control than non-users (2.03 vs. 1.50, p = 0.030). No personality traits were associated to CAM usage in females. Among females, etiology of liver disease (p = 0.066) tended to be different among CAM users- here a greater proportion of virus- caused liver disease was seen (32% of CAM users had a viral disease compared to 18.5% of CAM non- users).

Multivariate logistic regression analysis

All variables with a p-value < 0.1 were included in the multivariate logistic regression analysis with CAM as dependent variable. Several models were built, adjusting the variables for the “Big five” score, the HADS and MHLC (Table 6) respectively. Variables significantly associated to CAM use in more than one model were age and physical exercise in females and satisfaction with alternative medicine in both sexes.

Table 6 Logistic regression analysis for CAM use adjusted by “Big five” score, HADS and MHLC

Discussion

This study shows that in a German population approximately 25% of patients who attend university liver clinics take CAM. Satisfaction with alternative medicine and, in females, physical activity, age and level of education are independent predictors for use of CAM. Almost half of these patients do not inform their physician regarding the use of this medication.

The prevalence of use of CAM in CLD in Germany is comparable to another study in the US [12], in which 27% of the patients with CLD reported the use of either herbal medicine, dietary supplements or homeopathy. However, the prevalence is much lower than in other studies concerning CAM use in CLD patients (up to 80%), including mainly non-Western populations [16, 19, 20, 31, 32]. Although the differences in the prevalence maybe due to cultural differences, most of these studies also included mind-body based therapies and prayers among CAM, which were not evaluated in depth in the present study and therefore might be underrepresented.

The most commonly taken form of herbal remedy in our study was milk thistle, which is similar to other studies, where milk thistle was taken by up to 18% of patients [16, 19]. Milk thistle is thought to have hepatoprotective properties and its use is considered to be safe [33]. Clinical trials in patients with chronic hepatitis C (non-responders to interferon) and in patients with NAFLD with milk-thistle have been performed, however, they failed to show any significant beneficial effects of milk-thistle in these settings [34, 35].

CAM use in CLD patients has been linked to higher levels of income and education, etiology of CLD, history of hospitalization, disease severity and poorer rating of general health and vitality, female sex, anxiety and age [12, 16,17,18,19,20]. In the present study, an association between use of CAM and middle age in females was observed, which is similar to a study by Fjaer et al., in which use of CAM was highest in the age group from 45 to 64 years [14]. We could find no association between use of CAM and level of education in our study. Higher levels of education have been linked to CAM use [6, 12, 14, 16,17,18], a possible explanation for this being educated patients being more likely to read up on possible treatments for their illness, to question the doctor´s authority, and wanting to be in control of their own lives [36].

Pursuit of physical exercise also was an independent factor for CAM use in females in the logistic regression analysis. CAM are often used to improve health and support ongoing therapies [16, 20, 31]. In men, taking no further measures for personal health was significantly associated to a decreased use of CAM in the univariate analysis. In their study, Coughlan et al. found patients with hepatitis C and a smoking habit to be less likely to use CAM than non- smokers [19]. This suggests that CAM use is perceived as part of an approach to proactively promote general health and, conversely, use of CAM decreases when no further measures to improve one´s health are taken.

A high score for agreeableness in the “Big five” score was found to be significantly linked to CAM use in men with CLD in the univariate analysis. The trait of agreeableness has been related to the pursuit of a health- enhancing behavior such as healthy eating and exercise [37, 38] and has been significantly linked to both consulting CAM practitioners [39] and greater satisfaction with health care [40,41,42].

Use of CAM is not necessarily a symptom of dissatisfaction with conventional medicine [36] and both users or non- users of CAM have positive attitudes toward conventional medicine [16], which was also the case in this study, as patients do not regard CAM as an alternative to conventional medicine but as a form of control and coping over health issues [15, 16]. Using CAM as a form of coping with health issues could also explain why significantly more patients prescribed Ursodeoxycholic acid were found to take CAM. Ursodeoxycholic acid is given to patients with primary biliary cirrhosis or primary sclerosing cholangitis for symptom control, however as to date no curative option for both diseases exists, whereby use of CAM would provide patients with the possibility of pro- actively ameliorating their condition.

More than half of the patients in our study did not inform their family doctor about using CAM, which reflects similar results from other studies, in which non- disclosure rates were as high as 72% [17, 43]. The most common reasons for nondisclosure in our study were failure of the healthcare provider to specifically ask about CAM and the patient´s misconception that the healthcare provider would not find this information important. Reasons for non- disclosure of CAM use to the physicians have been reported to be fear of a negative response from their healthcare provider, the medical practitioner not asking actively about CAM use, the assumption that practitioners of conventional medicine have no knowledge about CAM and the patient´s perception that CAM are irrelevant to the existing biomedical treatment [43,44,45]. However, CAM can be primarily hepatotoxic or interact with medication taken and substances devoid of hepatotoxicity when taken on their own may be harmful for the liver when combined with other potentially hepatotoxic substances [46]. As many herbal products can be purchased without any prescription, are considered to be natural or are readily available (e.g. supermarkets), users might assume them to be harmless. Furthermore, some products are not subjected to testing of quality whereby quantity and quality of the ingredients can be compromised or even toxic and contaminants contained in the herbal preparation, rather than the herbal preparations themselves, in turn might lead to side effects [46]. Therefore, patients should not only be pro- actively asked about their use of CAM by attending doctors but attending doctors should also inform themselves about CAM and their benefits and potential side effects.

There are several limitations to this study. Firstly, although precautions were taken to rule out any bias in the setting of the patient interviews, the face- to-face interviews might still have influenced patients’ answers, especially concerning the topic of satisfaction with medical treatment. Secondly, although most patients completed the questionnaire, not all responded to the sections “satisfaction with medicine”, HADS and MHLC, however there were no differences in baseline characteristics between groups. Despite these limitations, we believe this study gives a better insight into the associations with and frequency of CAM use in CLD patients in Germany.

In conclusion, CAM use is prevalent among CLD patients in Germany and is associated to satisfaction with alternative medicine and active pursuit of improvement of one´s health. However, disclosure rates of CAM use can be very low and attending doctors should specifically inquire about its use.

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Data availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CAM:

Complementary and alternative medicine

CLD:

Chronic liver disease

GGT:

Gamma- glutamyltransferase

HADS:

Hospital Anxiety and Depression Score

MHLC:

Multidimensional Health Locus of Control

SD:

Standard deviation

IQR:

Interquartilic range

MASLD:

Metabolic Dysfunction Associated Steatotic Liver Disease

MetALD:

MASLD and increased alcohol intake

ALD:

Alcohol- associated Liver Disease

OR:

Odds ratio

CI:

Confidence interval

References

  1. Gu W, Hortlik H, Erasmus H-P, et al. Trends and the course of liver cirrhosis and its complications in Germany: nationwide population-based study (2005 to 2018). Lancet Reg Health Eur. 2022;12:100240.

    Article  PubMed  Google Scholar 

  2. Complementary. Alternative, or Integrative Health: What´s In a Name? NCCIH; https://www.nccih.nih.gov

  3. Fisher P, Ward A. Complementary medicine in Europe. BMJ. 1994;309:107–11.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. Kemppainen LM, Kemppainen TT, Reippainen JA, et al. Use of complementary and alternative medicine in Europe: Health-related and sociodemographic determinants. Scand J Public Health. 2018;46:448–55.

    Article  PubMed  Google Scholar 

  5. Linde K, Alscher A, Friedrichs C, et al. Die Verwendung Von Naturheilverfahren, komplementären und alternativen Therapien in Deutschland – Eine Systematische Übersicht Bundesweiter Erhebungen. Complement Med Res. 2014;21:111–8.

    Article  Google Scholar 

  6. Härtel U, Volger E. Inanspruchnahme Und Akzeptanz Klassischer Naturheilverfahren und alternativer heilmethoden in Deutschland- Ergebnisse Einer repräsentativen Bevölkerungsstudie. Forsch Komplementär Klass Naturheilkd. 2004;11:327–34.

    Google Scholar 

  7. Bardia A, Nisly NL, Zimmerman MB, et al. Use of herbs among adults based on evidence-based indications: findings from the National Health interview survey. Mayo Clin Proc. 2007;82:561–6.

    Article  PubMed  Google Scholar 

  8. Eisenberg DM, Davis RB, Ettner SL, et al. Trends in Alternative Medicine Use in the United States, 1990–1997: results of a follow-up national survey. JAMA. 1998;280:1569–75.

    Article  PubMed  CAS  Google Scholar 

  9. Kennedy J. Herb and Supplement Use in the US Adult Population. Clin Thera. 2005;27:1847–58.

    Article  Google Scholar 

  10. Barnes PM, Bloom B, Nahin RL. Complementary and alternative medicine use among adults and children: United States, 2007. Natl Health Stat Rep. 2008;12:1–23.

    Google Scholar 

  11. Abheiden H, Teut M, Berghöfer A. Predictors of the use and approval of CAM: results from the German General Social Survey (ALLBUS). BMC Complement Med Ther. 2020;20:183–94.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ferruci LM, Bell BP, Dhotre KB, et al. Complementary and alternative Medicine Use in Chronic Liver Disease patients. J Clin Gastroenterol. 2010;44:e40–5.

    Article  Google Scholar 

  13. Eardley S, Bishop FL, Prescott P, et al. A systematic literature review of complementary and alternative medicine prevalence in EU. Forsch Komplementmed. 2012;19(Suppl 2):18–28.

    PubMed  Google Scholar 

  14. Fjær EL, Landet ER, McNamara CL, et al. The use of complementary and alternative medicine (CAM) in Europe. BMC Complement Med Ther. 2020;20:108–17.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Henson JB, Brown CL, Chow S-C, et al. Complementary and alternative Medicine Use in United States adults with Liver Disease. J Clin Gastroenterol. 2017;51(6):564–70.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Richmond JA, Bailey DE, Patel K, et al. The use of complementary and alternative medicine by patients with chronic hepatitis C. Complement Ther Clin Pract. 2010;16:124–31.

    Article  PubMed  Google Scholar 

  17. Siddiqui U, Weinshel EH, Bini EJ. Prevalence and predictors of herbal medication use in veterans with chronic hepatitis C. J Clin Gastroenterol. 2004;38(7):605–10.

    Article  PubMed  Google Scholar 

  18. Strader DB, Bacon BR, Lindsay KL, et al. Use of complementary and alternative medicine in patients with Liver Disease. Am J Gastroenterol. 2002;97:2391–7.

    Article  PubMed  Google Scholar 

  19. Coughlan BM, Thornton LM, Murphy N, et al. The use of complementary and alternative medicine in an Irish cohort of people with an iatrogenic hepatitis C infection: results from a health and lifestyle. Complement Ther Med. 2014;22:683–9.

    Article  PubMed  Google Scholar 

  20. Liem KS, Yim C, Ying TD, et al. Prevalence and predictors of complementary and alternative medicine modalities in patients with chronic hepatitis B. Liver Int. 2019;39:1418–27.

    Article  PubMed  CAS  Google Scholar 

  21. Baschin M. Die Geschichte der Selbstmedikation in der Homöopathie. In: Jütte R, editor. Quellen und Studien zur Homöopathiegeschichte. Essen, KVC; 2012. Vol. 17.

  22. Wallston KA, Wallston BS, De Vellis R. Development of the multidimensional Health Locus of Control (MHLC) Scales. Health Educ Monogr. 1978;6:160–70.

    Article  PubMed  CAS  Google Scholar 

  23. Wallston KA. The validity of the Multidimensional Health Locus of Control Scales. J Health Psychol. 2005;10:623–31.

    Article  PubMed  Google Scholar 

  24. McCrae RR, Costa PT. Jr. A five-factor theory of personality. In: Pervin LA, John OP, editors. Handbook of personality: theory and research. Guilford Press; 1999. pp. 139–53.

  25. Honda K, Jacobson JS. Use of complementary and alternative medicine among United States adults: the influences of personality, coping strategies, and social support. Prev Med. 2005;40:46–53.

    Article  PubMed  Google Scholar 

  26. Lachman ME, Weaver SL. (1997). The Midlife Development Inventory (MIDI) Personality Scales: Scale Construction and Scoring. Retrieved from http://www.brandeis.edu/departements/psych/lachman/pdfs/midi-personality-scales.pdf

  27. Lachman ME. (2005). Addendum for MIDI Personality Scales: MID7S II version. Retrieved from http://www.brandeis.edu/departments/psych/lachman/pdfs/revised-midi-scales.pdf

  28. Zigmond AS, Snaith RP. The Hospital anxiety and Depression Scale. Acta Psychiatrica Scandinavica. 1983;67:361–70.

    Article  PubMed  CAS  Google Scholar 

  29. Herrmann C, Buss U. Vorstellung Und Validierung Einer Deutschen Version Der „Hospital anxiety and Depression Scale (HAD-Skala); Ein Fragebogen Zur Erfassung Des Psychischen Befindens Bei Patienten Mit körperlichen Beschwerden. Diagnostica. 1994;40:143–54.

    Google Scholar 

  30. Von Elm E, Altman DG, Egger M, et al. The strengthening the reporting of Observational studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–7.

    Article  Google Scholar 

  31. Yang ZC, Yang S-H, Yang S-S, et al. A hospital-based study on the use of alternative medicine in patients with chronic liver and gastrointestinal diseases. Am J Chin Med. 2002;30:637–43.

    Article  PubMed  Google Scholar 

  32. Nsibirwa S, Anguzu G, Kamukama S, et al. Herbal medicine use among patients with viral and non- viral hepatitis in Uganda: prevalence, patterns and related factors. BMC Complement Med Ther. 2020;20:169.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Jacobs BP, Dennehy C, Ramirez G, et al. Milk thistle for the treatment of Liver Disease: a systematic review and Meta-analysis. Am J Med. 2002;113:506–15.

    Article  PubMed  Google Scholar 

  34. Fried MW, Navarro VJ, Afdhal N, et al. Silymarin in NASH and C Hepatitis (SyNCH) Study Group. Effect of silymarin (milk thistle) on liver disease in patients with chronic hepatitis C unsuccessfully treated with interferon therapy: a randomized controlled trial. JAMA. 2012;308:274–82.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. Navarro VJ, Belle SH, D´Amato M, et al. Silymarin in NASH and C Hepatitis (SyNCH) Study Group. Silymarin in non-cirrhotics with non- alcoholic steatohepatitis: a randomized, double- blind, placebo controlled trial. PLoS ONE. 2019;14:e0221683.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Astin JA. Why patients use alternative medicine: results of a national study. JAMA. 1998;279:1548–53.

    Article  PubMed  CAS  Google Scholar 

  37. Booth-Kewley S, Vickers RR. Associations between major domains of personality and health behaviour. J Pers. 1994;62:281–98.

    Article  PubMed  CAS  Google Scholar 

  38. Lemos-Giraldez S, Fidalgo-Aliste AM. Personality dispositions and health-related habits and attitudes: a cross-sectional study. Eur J Pers. 1997;11:197–209.

    Article  Google Scholar 

  39. Sirois FM, Purc- Stephenson RJ. Personality and consultations with complementary and alternative medicine practitioners: a five- factor model investigation of the degree of use and motives. J Altern Complement Med. 2008;14:1151–8.

    Article  PubMed  Google Scholar 

  40. Hendriks AAJ, Smets EMA, Vrielink MR, et al. Is personality a determinant of patient satisfaction with hospital care? Int J Qual Health Care. 2006;18:152–15823.

    Article  PubMed  CAS  Google Scholar 

  41. Serber ER, Cronan TA, Walen HR. Predictors of patient satisfaction and health care costs for patients with fibromyalgia. Psychol Health. 2003;18:771–78724.

    Article  Google Scholar 

  42. Bigatti SM, Cronan TA, Grove M, et al. Predictors of health care satisfaction among older people with osteoarthritis. Mind/Body Med. 1997;2:112–20.

    Google Scholar 

  43. Robinson A, McGrail MR. Disclosure of CAM use to medical practitioners: a review of qualitative and quantitative studies. Complement Ther Med. 2004;12:90–8.

    Article  PubMed  CAS  Google Scholar 

  44. Adler S, Fosket J. Disclosing complementary and alternative medicine use in the medical encounter: a qualitative study in women with breast cancer. J Fam Pract. 1999;48:453–8.

    PubMed  CAS  Google Scholar 

  45. Crock RD, Jarjoura D, Polen A, et al. Confronting the communication gap between conventional and alternative medicine: a survey of physicians’ attitudes. Altern Ther Health Med. 1999;5:61–6.

    PubMed  CAS  Google Scholar 

  46. Schiano TD. Hepatotoxicity and complementary and alternative medicines. Clin Liver Dis. 2003;7:453–73.

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to extend our warmest thanks to Ms. B. Dirr for her excellent work of performing interviews and collection of data at the university clinic of the Saarland.

Funding

There was no funding for this study.

Open Access funding enabled and organized by Projekt DEAL.

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Contributions

FS helped develop the protocol, reviewed the database, did the statistical analysis, wrote the paper. AR helped develop the protocol and collected the data. EL (psychologist) designed the questionnaires, helped develop the protocol, helped with the statistical analysis. DB collected the data. AZ and FL helped develop the protocol and provided important intellectual input. CR developed the protocol, supervised the data collection, data analysis as well as paper writing. All authors read and approved the manuscript.

Corresponding authors

Correspondence to Fleur Sophie Gittinger or Cristina Ripoll.

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Approval from the ethics board of the University Halle- Saale was obtained for the study. All patients signed an informed consent before participation in the study.

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not applicable.

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The authors declare no competing interests.

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Gittinger, F.S., Rahnfeld, A., Lacruz, E. et al. Use of complementary and alternative medicine in patients with chronic liver diseases in Germany- a multicentric observational study. BMC Complement Med Ther 24, 340 (2024). https://doi.org/10.1186/s12906-024-04607-x

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  • DOI: https://doi.org/10.1186/s12906-024-04607-x

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