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BMC Complementary Medicine and Therapies logoLink to BMC Complementary Medicine and Therapies
. 2020 Jul 30;20:240. doi: 10.1186/s12906-020-03032-0

Prescription patterns and factors influencing the use of Chinese herbal medicine among pregnant women in Taiwan: a population-based retrospective study

Shu-Hui Wen 1, Wei-Chuan Chang 2, Hsuan-Shu Shen 3,4, Hsien-Chang Wu 4,5,
PMCID: PMC7391530  PMID: 32731888

Abstract

Background

The use of Chinese herbal medicine (CHM) has been widely promoted as a natural and safe way to treat illness during pregnancy. However, prescription patterns and factors influencing its use are largely unknown. Therefore, we conducted a population-based study to address these questions.

Methods

Pregnant women aged 18–50 years were selected from Taiwan’s National Health Insurance Research Database between 2001 to 2011. CHM prescriptions and diagnostic records were collected. Demographic data and pre-existing diseases were compared between CHM users and non-users. A multivariate logistic regression analysis was performed to identify possible factors influencing the use of CHM during pregnancy.

Results

A total of 81,873 eligible prescription records were identified, and 16,553 pregnant women were prescribed CHM during pregnancy, yielding a CHM prescription rate of 20.2%. The three most frequently used herbs were Scutellariae Radix (Huang Qin) (4.4%), Eucommiae cortex (Du Zhong) (2.5%), and Atractylodes Rhizome (Bai Zhu) (2.4%). The most frequently used herbal formulae were Dang-Guei-Shao-Yao-San (4.1%), Jia-Wei-Xiao-Yao-San (3.5%), and Xiang-Sha-Liu-Jun-Zi-Tang (2.6%). Multivariate logistic regression revealed that subjects with an older age, a university education, a pre-pregnancy history of CHM use, asthma, chronic renal disease, and cardiac valvular disease and living in a residential area other than northern Taiwan had an increase in adjusted odds ratio for CHM use during pregnancy.

Conclusions

In this population-based study, we found that demographic factors and pre-existing diseases were associated with the use of CHM among pregnant women. It is worth noting that Leonuri Herba (Yi Mu Cao) and Shao-Fu-Zhu-Yu-Tang should be used with caution in the first trimester. Further research is needed to explore the safety and effectiveness of the use of CHM in pregnant women.

Keywords: Alternative medicine, Chinese herbal medicine, Pregnant women, Peripartum, Perinatal, Traditional Chinese medicine

Background

Chinese herbal medicine (CHM) has been widely used as a natural and safe way to treat illness during pregnancy [1]. The reported prevalence of medicinal herb usage during pregnancy ranges from 12 to 58% in various countries [26]. In Taiwan, 34% of Taiwanese women consume at least one type of CHM during pregnancy [5]. In clinical settings, women tend to take CHM as an alternative treatment for a variety of pregnancy diseases, such as vomiting during pregnancy, hypertension, and miscarriage [7, 8]. However, the prescription patterns and factors influencing the use of CHM during pregnancy are largely unknown.

Previous studies have shown that there are differences in the socio-demographic and health-related characteristics between users of complementary and alternative medicine (CAM) and non-users [9]. For example, subjects with old age, females, high socioeconomic groups, and those with a high education level and health problems are prone to use CAM in countries other than Taiwan [911]. Similar findings have also been reported by investigators who used the National Health Insurance Research Database (NHIRD) in Taiwan [12, 13]. However, factors influencing the use of CHM in the subset of pregnant women remain unclear.

Taiwan’s health authority maintains traditional Chinese medicine (TCM) under the auspices of the National Health Insurance (NHI) Service and enhances CHM quality control management to ensure the health and medical care for the public. NHIRD was established by the NHI as a universal health insurance program since 1995 in Taiwan. The database covers more than 99.6% of the Taiwanese population [14, 15]. Particularly, pregnant women who need CHM treatment are required to obtain prescriptions from TCM physicians. Thus, NHIRD is a large database that comprehensively includes demographic and clinical data of all pregnant women who receive TCM. An understanding of the prescription patterns may be helpful for monitoring and evaluating the adequacy of CHM usage among pregnant women. In addition, an analysis of the factors related to CHM use may provide essential information to clinicians regarding the profiles of pregnant women who are more likely to use CHM. In this study, we aimed to investigate the prescription patterns and factors influencing the use of CHM during pregnancy by using this dataset. To achieve this goal, the prescription patterns in relation to diagnoses were evaluated. Factors influencing the use of CHM were identified by comparisons of variables between the CHM users and non-users.

Methods

Data resources

We conducted a retrospective population-based study using the longitudinal health insurance database (LHID) for the period from 2001 to 2011, which was provided by the Health and Welfare Statistics Application Centre of the Ministry of Health and Welfare in Taiwan. The LHID comprises medical claims data of more than 2 million beneficiaries who have been randomly sampled since the year 2000 from registries of all NHI enrolees. The LHID contains data on patient demographic characteristics, outpatient and inpatient visit records, drug prescriptions (including CHM), and International Classification of Disease-Clinical Modification (9th revision) (ICD-9-CM) diagnoses. The information on diagnosis codes of the database have been validated by a previous study [16]. This study was approved by the Institutional Review Board of Taipei Tzu Chi Hospital in Taipei, Taiwan (Protocol No. 05-W03–050).

Study sample and measured variables

Medical records of pregnant women were selected from the LHID for the period between 2001 and 2011 using the following inclusion criteria: (1) aged between 18 and 50 years; (2) confirmed as pregnant (ICD-9-CM codes: V22 and V23) via outpatient or inpatient visit; and (3) a birth outcome of term birth (ICD-9-CM codes: V27.0, V27.2, V27.3, V27.5, V27.6, V30-V37, V39, 650), preterm birth (ICD-9-CM code: 765.1), abortion (ICD-9-CM codes: 632; ICD_OP_CODE: 690, 695, 750), or stillbirth (ICD-9-CM codes: V27.1, V27.4, V27.7, 656.4). We estimated the start date of pregnancy according to the initial prenatal visit which represents its specific timing during pregnancy. The duration of pregnancy was defined as the time between the start date of pregnancy and the date of the end of pregnancy due to a live birth, abortion, or stillbirth. We excluded cases based on the following criteria: male gender, no record of birth outcome, age outside of the specified inclusion range, a pre-pregnancy malignant tumour history, or incomplete prenatal visits. A total of 81,873 eligible pregnant women were identified. Figure 1 shows the flowchart of the study.

Fig. 1.

Fig. 1

Flow chart of the study population

Among these, 16,553 pregnant women (20.2%) used CHM which was determined by correlating TCM outpatient visits and CHM prescription records. All CHM prescription records were classified as either single herbs or herbal formulae. Prescription patterns and primary diagnostic codes associated with TCM outpatient visits were presented in terms of three (first, second, third) trimester groups. To understand the prescription patterns and safety of CHM use during human embryogenesis (6–12 weeks of gestation), we analysed all gynaecological diagnoses and prescriptions recorded both before and after the first prenatal visit. That is, we assessed common diagnostic codes and CHM use before or after the first prenatal visit only among women with obstetrics-related TCM records (ICD-9-CM code: 610–677 or A code: A370-A394). Women may have consulted with their TCM physicians prior to a confirmed pregnancy, before their first prenatal visit. Thus, it was important to assess CHM use during this period.

Sample characteristics, including age at pregnancy, education level (below junior, senior, university, or above), income (monthly income in new Taiwan dollars [NTD]), residential area (northern, middle, southern, or eastern Taiwan), prior usage (whether she had used CHM within the 6 months before pregnancy), and maternal comorbidity, were also collected. Maternal comorbidities were diagnosed with ICD-9-CM codes (Supplementary Table 2) from at least one ambulatory visit or inpatient claim within the year prior to pregnancy [17].

Statistical analyses

Descriptive statistics (numbers and percentages) were provided for the distribution of primary diagnostic codes and CHM use. Outpatient TCM records from pregnancy were further restricted to obstetrics-related codes. The 10 most common primary diagnostic codes and CHMs were presented for the three trimesters, as well as before or after the first prenatal visit. A logistic regression analysis was performed to examine the factors associated with CHM use during pregnancy. The covariates were age at pregnancy, education level, income, residential area, prior usage, and maternal comorbidity. Odds ratios (ORs) and accompanying 95% confidence intervals (CIs) were provided. Data analyses were performed with SAS version 9.3 (SAS Institute, Inc., Cary, NC, USA).

Results

Sample characteristics

A total of 16,553 pregnant women received CHM during pregnancy (termed ‘CHM users’ hereafter), yielding a CHM utilization rate of 20.2%. The average duration between the estimated start date of pregnancy and the first CHM prescription record was 62.8 days. In total, 81.7% of the women received their first CHM prescription during the first trimester. The average duration of CHM use was 19.8 days during pregnancy.

Some characteristics differed significantly between CHM users and non-users (Table 1). CHM users were slightly older, had longer pregnancies, and had higher education and income levels (P < 0.05). More CHM users lived in middle and southern Taiwan than non-users. Slightly higher percentages of maternal comorbidities such as asthma, chronic renal disease, Sickle cell disease, and cardiac valvular disease were present in CHM users compared to non-users (P < 0.05). Finally, CHM use 6 months prior to pregnancy was more common among TCM users than non-users (63.1% vs. 22.7%, P < 0.05).

Table 1.

Characteristics between pregnant women with and without CHM use (n = 81,873)

Characteristics CHM user
n = 16,553
Non-CHM user
n = 65,320
p-value
Age (years) 28.6 ± 4.6 28.0 ± 4.8 < 0.001
Duration of pregnancy (days) 266.3 ± 63.5 255.9 ± 69.8 < 0.001
Education < 0.001
 Below Junior 3582 (22.1) 16,203 (25.5)
 Senior 7148 (44.1) 28,521 (44.8)
 University or above 5489 (33.8) 18,912 (29.7)
Income level (1000 NTD per unit) 24.7 ± 16.2 23.9 ± 16.9 < 0.001
 < 20,000 5858 (41.7) 24,189 (44.5) < 0.001
 20,000-39,999 5685 (40.4) 21,031 (38.7)
 > 40,000 2512 (17.9) 9147 (16.8)
Residential area < 0.001
 Northern 5565 (33.7) 28,861 (44.3)
 Middle 4621 (27.9) 11,890 (18.3)
 Southern 5538 (33.6) 20,467 (31.4)
 Eastern 784 (4.8) 3916 (6.0)
Maternal Comorbidity
 Asthma 352 (2.1) 1036 (1.6) < 0.001
 Chronic ischemic heart disease 50 (0.3) 149 (0.2) 0.084
 Chronic renal disease 119 (0.7) 256 (0.4) < 0.001
 Congenital heart disease 13 (0.1) 52 (0.1) 0.965
 Preexisting diabetes mellitus 118 (0.7) 402 (0.6) 0.159
 Preexisting hypertension 77 (0.5) 303 (0.5) 0.982
 Sickle cell disease 37 (0.2) 88 (0.1) 0.009
 Cardiac valvular disease 189 (1.1) 441 (0.7) < 0.001
 Placenta previa 6 (0.1) 36 (0.1) 0.338
 Gestational hypertension 12 (0.1) 33 (0.1) 0.281
CHM use at 6 months before first pregnancy diagnosis 10,449 (63.1) 14,812 (22.7) < 0.001

Data are shown as n (%), or mean ± standard deviation

CHM Chinese herbal medicine, NTD New Taiwan dollar

Prescription patterns of CHM users

The top 10 single herbs, herbal formulae, and primary diagnostic codes identified among CHM users are listed in Supplementary Table 1. For all CHM records, the top three most common primary diagnostic codes were abnormal bleeding from the female genital tract (12%), acute nasopharyngitis (11.2%), and cough (5.2%). The most commonly used single herbs were Scutellariae Radix (Huang Qin) (4.4%), Eucommiae cortex (Du Zhong) (2.5%), Atractylodes Rhizome (Bai Zhu) (2.4%), Cyperi Rhizoma (Xiang Fu) (2.1%), Cuscutae Semen (Tu Si Zi) (2%), and Dipsaci Radix (Xu Duan) (2%). The most commonly used herbal formulae were Dang-Guei-Shao-Yao-San (4.1%), Jia-Wei-Xiao-Yao-San (3.5%), Xiang-Sha-Liu-Jun-Zi-Tang (2.6%), Bao-Chan-Wu-You-Fang (2.6%), Yin-Qiao-San (2.2%), and Xin-Yi-Qing-Fei-Tang (2%), which together accounted for 17% of the herbal formulae prescribed.

There were also differences identified among the three trimester groups regarding diagnostic codes and prescription patterns (Table 2). For instance, the most common diagnostic code issued in the first trimester was abnormal bleeding from the female genital tract (17.2%), while acute nasopharyngitis was most common during the second (11.9%) and third (16.5%) trimesters. Hypertension complicating pregnancy, childbirth, and the puerperium (6.9%) and sleep disturbances (3.1%) became more common in the third trimester. Increased use of Atractylodes Rhizome (Bai Zhu) and Platycodi Radix (Jie Geng) was observed in the second and third trimesters. In particular, single herbs such as Leonuri Herba (Yi Mu Cao) and Corydalis Rhizoma (Yan Hu Su) and herbal formulae such as Wen-Jing-Tang and Ban-Xia-Xie-Xin-Tang were used only during the first trimester.

Table 2.

Top 10 single herbal, Herbal formulae and diagnosis and prescription in CHM users at three trimesters

First trimester Second trimester Third trimester
Frequency (%) Frequency (%) Frequency (%)
Diagnosis
 Abnormal bleeding from female genital tract 34,960 (17.2) Acute nasopharyngitis 9311 (11.9) Acute nasopharyngitis 6801 (16.5)
 Acute nasopharyngitis 18,080 (8.9) Abnormal bleeding from female genital tract 8467 (10.8) Cough 3618 (8.8)
 Disorders of function of stomach 9446 (4.7) Cough 4940 (6.3) Hypertension complicating pregnancy, childbirth, and the puerperium 2846 (6.9)
 Excessive vomiting in pregnancy 7445 (3.7) Headache 3102 (4.0) Disorders of function of stomach 1826 (4.4)
 Headache 7370 (3.6) Hypertension complicating pregnancy, childbirth, and the puerperium 3023 (3.9) Sleep disturbances 1279 (3.1)
 Constipation 7339 (3.6) Sleep disturbances 2909 (3.7) Headache 1228 (3.0)
 Cough 7177 (3.5) Disorders of function of stomach 2885 (3.7) Low back pain 1191 (2.9)
 Sleep disturbances 6836 (3.4) Constipation 2594 (3.3) Constipation 1191 (2.9)
 Female infertility associated with anovulation 6715 (3.3) Allergic rhinitis 2337 (3.0) Pruritus and related conditions 1188 (2.9)
 Dysmenorrhea 5432 (2.7) Excessive vomiting in pregnancy 2214 (2.8) Chronic pharyngitis and nasopharyngitis 1137 (2.7)
Single herbal
Scutellariae Radix (Huang Qin) 4023 (3.5) Scutellariae Radix (Huang Qin) 2096 (4.7) Scutellariae Radix (Huang Qin) 1504 (6.3)
Cyperi Rhizoma (Xiang Fu) 3191 (2.7) Eucommiae cortex (Du Zhong) 1288 (2.9) Atractylodes Rhizome (Bai Zhu) 845 (3.5)
Eucommiae cortex (Du Zhong) 2894 (2.5) Atractylodes Rhizome (Bai Zhu) 1133 (2.5) Eucommiae cortex (Du Zhong) 679 (2.8)
Cuscutae Semen (Tu Si Zi) 2740 (2.4) Dipsaci Radix (Xu Duan) 961 (2.1) Platycodi Radix (Jie Geng) 610 (2.5)
Corydalis Rhizoma (Yan Hu Su) 2426 (2.1) Platycodi Radix (Jie Geng) 864 (1.9) Fritillariae Thunbergii Bulbus (Bei Mu) 549 (2.3)
Leonuri Herba (Yi Mu Cao) 2353 (2.0) Cyperi Rhizoma (Xiang Fu) 843 (1.9) Dipsaci Radix (Xu Duan) 536 (2.2)
Dipsaci Radix (Xu Duan) 2280 (1.9) Cuscutae Semen (Tu Si Zi) 826 (1.8) Glycyrrhizae Radix et Rhizoma (Gan Cao) 446 (1.9)
Atractylodes Rhizome (Bai Zhu) 2154 (1.8) Fritillariae Thunbergii Bulbus (Bei Mu) 690 (1.5) Ophiopogonis Radix (Mai Men Dong) 430 (1.8)
Rhei Radix et Rhizoma (Da Huang) 1840 (1.6) Glycyrrhizae Radix et Rhizoma (Gan Cao) 683 (1.5) Taxilli Herba (Sang Ji Sheng) 407 (1.7)
Platycodi Radix (Jie Geng) 1670 (1.4) Ophiopogonis Radix (Mai Men Dong) 680 (1.5) Scrophulariae Radix (Xuan Shen) 371 (1.6)
Herbal formulae
 Dang-Gui-Shao-Yao-San 3805 (4.4) Dang-Gui-Shao-Yao-San 1447 (4.3) Bao-Chan-Wu-You-Fang 898 (5.2)
 Jia-Wei-Xiao-Yao-San 3781 (4.3) Jia-Wei-Xiao-Yao-San 1047 (3.1) Dang-Gui-Shao-Yao-San 648 (3.7)
 Xiang-Sha-Liu-Jun-Zi-Tang 2240 (2.6) Bao-Chan-Wu-You-Fang 823 (2.5) Yin-Qiao-San 599 (3.4)
 Wen-Jing-Tang 1836 (2.1) Yin-Qiao-San 749 (2.2) Xin-Yi-Qing-Fei-Tang 517 (3.0)
 Ban-Xia-Xie-Xin-Tang 1601 (1.8) Xin-Yi-Qing-Fei-Tang 711 (2.1) Ma-Xing-Gan-Shi-Tang 403 (2.3)
 Ping-Wei-San 1530 (1.8) Xiang-Sha-Liu-Jun-Zi-Tang 677 (2.0) Xiang-Sha-Liu-Jun-Zi-Tang 370 (2.1)
 Yin-Qiao-San 1529 (1.8) Chuan-Qiong-Cha-Tiao-San 622 (1.9) Gan-Lu-Yin 366 (2.1)
 Gui-Zhi-Fu-Ling-Wan 1521 (1.7) Gui-Pi-Tang 557 (1.7) Sang-Ju-Yin 342 (2.0)
 Chuan-Qiong-Cha-Tiao-San 1473 (1.7) Ma-Zi-Ren-Wan 541 (1.6) Xiao-Chai-Hu-Tang 335 (1.9)
 Ma-Zi-Ren-Wan 1430 (1.6) Ping-Wei-San 534 (1.6) Jia-Wei-Xiao-Yao-San 327 (1.9)

We further limited our assessments to obstetrics-related records and CHM usage either before or after the first prenatal visit (Table 3). We found that abnormal bleeding from the female genital tract (53%), infertility (10.4%), and dysmenorrhea (8.3%) were the three most common primary diagnoses encountered before the first prenatal visit. After the first prenatal visit, abnormal bleeding from the female genital tract (53.3%), dysmenorrhea (9.0%), and hypertension complicating pregnancy, childbirth, and the puerperium (7.7%) were the three most common primary diagnoses. Before the first prenatal visit, the most frequently used single herb prescribed was Cyperi Rhizoma (Xiang Fu) (5%), followed by Cuscutae Semen (Tu Si Zi) (4.5%) and Leonuri Herba (Yi Mu Cao) (4.2%). After the first prenatal visit, the top three single herbs prescribed differed from those prescribed before the first prenatal visit. Cyperi Rhizoma (Xiang Fu) (4.7%) was the most frequently prescribed single herb, followed by Leonuri Herba (Yi Mu Cao) (4.1%) and Corydalis Rhizoma (Yan Hu Su) (3.2%). The top three most frequently prescribed herbal formulae were Dang-Guei-Shao-Yao-San, Jia-Wei-Xiao-Yao-San, and Wen-Jing-Tang, irrespective of the first prenatal visit.

Table 3.

Top 10 obstetrics related diagnosis and prescription in pregnancy women before and after the first prenatal visit

Before prenatal Visit After prenatal Visit

Diagnosis

n (%)a

Abnormal bleeding from female genital tract 28,738 (53.0) Abnormal bleeding from female genital tract 55,460 (53.3)
Infertility 5649 (10.4) Dysmenorrhea 9403 (9.0)
Dysmenorrhea 4494 (8.3) Hypertension complicating pregnancy, Childbirth, and the puerperium 8014 (7.7)
Excessive vomiting in pregnancy 4087 (7.5) Excessive vomiting in pregnancy 6729 (6.5)
Hypertension complicating pregnancy, Childbirth, and the puerperium 2843 (5.2) Infertility 6364 (6.1)
Leukorrhea 2131 (3.9) Leukorrhea 5311 (5.1)
Hemorrhage in early pregnancy 1213 (2.2) Other complications of pregnancy 2350 (2.3)
Endometriosis 905 (1.7) Hemorrhage in early pregnancy 1525 (1.5)
Premenstrual tension syndromes 885 (1.6) Premenstrual tension syndromes 1284 (1.2)
Other complications of pregnancy 622 (1.1) Endometriosis 963 (0.9)

Single herbal

n (%)b

Cyperi Rhizoma (Xiang Fu) 1724 (5.0) Cyperi Rhizoma (Xiang Fu) 3109 (4.7)
Cuscutae Semen (Tu Si Zi) 1555 (4.5) Leonuri Herba (Yi Mu Cao) 2686 (4.1)
Leonuri Herba (Yi Mu Cao) 1450 (4.2) Corydalis Rhizoma (Yan Hu Su) 2104 (3.2)
Eucommiae cortex (Du Zhong) 1161 (3.4) Eucommiae cortex (Du Zhong) 2027 (3.1)
Scutellariae Radix (Huang Qin) 1090 (3.2) Cuscutae Semen (Tu Si Zi) 1986 (3.0)
Corydalis Rhizoma (Yan Hu Su) 943 (2.7) Scutellariae Radix (Huang Qin) 1946 (3.0)
Dipsaci Radix (Xu Duan) 927 (2.7) Salviae Miltiorrhizae Radix ET Rhizoma (Dan Shen) 1479 (2.3)
Salviae Miltiorrhizae Radix ET Rhizoma (Dan Shen) 720 (2.1) Dipsaci Radix (Xu Duan) 1439 (2.2)
Atractylodes Rhizome (Bai Zhu) 681 (2.0) Atractylodes Rhizome (Bai Zhu) 1207 (1.8)
Ligustri Lucidi Fructus (Nu Zhen Zi) 598 (1.7) Rhei Radix et Rhizoma (Da Huang) 924 (1.4)

Herbal formulae

n (%)c

Dang-Gui-Shao-Yao-San 2082 (8.9) Jia-Wei-Xiao-Yao-San 3599 (7.9)
Jia-Wei-Xiao-Yao-San 1844 (7.9) Dang-Gui-Shao-Yao-San 3492 (7.7)
Wen-Jing-Tang 1294 (5.5) Wen-Jing-Tang 2213 (4.9)
Gui-Zhi-Fu-Ling-Wan 896 (3.8) Gui-Zhi-Fu-Ling-Wan 1953 (4.3)
Shao-Fu-Zhu-Yu-Tang 602 (2.6) Gui-Pi-Tang 1292 (2.8)
Gui-Pi-Tang 581 (2.5) Shao-Fu-Zhu-Yu-Tang 1286 (2.8)
Xiang-Sha-Liu-Jun-Zi-Tang 580 (2.5) Qiong-Gui-Jiao-Ai-Tang 978 (2.1)
Si-Wu-Tang 495 (2.1) Si-Wu-Tang 879 (1.9)
Qiong-Gui-Jiao-Ai-Tang 483 (2.1) Bao-Chan-Wu-You-Fang 847 (1.9)
Zuo-Gui-Wan 481 (2.1) Long-Dan-Xie-Gan-Tang 833 (1.8)

athe total numbers of diagnosis before and after prenatal visit were 57,941 and 111,403, respectively

bthe total number of prescriptions for single herbal before and after prenatal visit were34,454 and 65,769, respectively

cthe total number of prescriptions for herbal formulae before and after prenatal visit were 23,487 and 45,634, respectively

Factors influencing the use of CHM during pregnancy

A multivariate logistic regression model was used to examine the factors associated with CHM use during pregnancy (Table 4). The following factors were associated with a greater likelihood of using CHM: older pregnant women (OR = 1.03, 95% CI: 1.02–1.03), women with a university education (OR = 1.16, 95% CI: 1.09–1.23), those who did not live in northern Taiwan (middle Taiwan dwellers: OR = 1.78, 95% CI: 1.69–1.88; southern Taiwan dwellers: OR = 1.36, 95% CI: 1.30–1.43; eastern Taiwan dwellers OR = 1.14, 95% CI: 1.04–1.26), and those who had pre-pregnancy experience with CHM (OR = 5.69, 95% CI: 5.46–5.93). Women with asthma (OR = 1.23, 95% CI: 1.05–1.43), chronic renal disease (OR = 1.33, 95% CI: 1.02–1.73), or cardiac valvular disease (OR = 1.54, 95% CI: 1.25–1.91) were also more likely to use CHM during pregnancy.

Table 4.

Associating factors with the use of CHM during pregnancy (n = 81,873)

Characteristics aOR (95% CI) P-value
Age 1.03 (1.02–1.03) < 0.001
Education
 Below Junior ref
 Senior 1.04 (0.98–1.09) 0.080
 University or above 1.16 (1.09–1.23) < 0.001
Residential area
 Northern ref
 Middle 1.78 (1.69–1.88) < 0.001
 Southern 1.36 (1.30–1.43) 0.004
 Eastern 1.14 (1.04–1.26) 0.001
CHM use before 6 months of pregnancy 5.69 (5.46–5.93) < 0.001
Asthma 1.23 (1.05–1.43) 0.009
Chronic renal disease 1.33 (1.02–1.73) 0.034
Cardiac valvular disease 1.54 (1.25–1.91) < 0.001

Multiple logistic regression analysis was used to calculate adjusted odds ratio (aOR). Adjusted factors included age, education, income, residential area, CHM use before 6 months of pregnancy, asthma, chronic ischemic heart disease, chronic renal disease, congenital heart disease, preexisting diabetes mellitus, preexisting hypertension, sickle cell disease, cardiac valvular disease, placenta previa, and gestational hypertension

CHM Chinese herbal medicine

Discussion

Our research describes the CHM prescription patterns in a population of pregnant women in Taiwan and reveals discrepancies between diagnoses and CHM usage during each of the three trimesters. We found that the CHM utilization rate during pregnancy was 20.2%. This rate is similar to those reported in prior prospective cohort studies [5, 18] and a study in Taiwan [7], but lower than those reported previously in Norway (39.7%) [19] and mainland China (43.5%) [1]. This may be because the NHIRD only contains medical records for cases diagnosed and drugs prescribed by TCM physicians. Thus, herbal medicines purchased and consumed by patients on their own were not included. As for factors related to CHM use, pregnant women with a higher level of education and larger income had greater rates of CHM usage. This may be because CHM users usually have a higher socioeconomic status and marry later in life, thus requiring menstruation regulation to increase the chance of pregnancy [5]. Additionally, we found that women treated with CHM or those who had chronic diseases before pregnancy preferred the use of CHM to treat their illness; this is similar to findings reported in a previous study of Chinese CHM users [20].

Among pregnant women treated with CHM, the most common diagnoses were related to respiratory system diseases (such as acute nasopharyngitis, cough, allergic rhinitis, etc.). This is consistent with the findings of previous research [7]. Other common diagnoses included gastrointestinal diseases, pregnancy-related vomiting or bleeding, and pregnancy complicated by hypertension. Recent studies have demonstrated that TCM is also therapeutically effective not just for upper respiratory tract infections and gastrointestinal diseases, but also for bleeding during pregnancy, pregnancy-related vomiting, and pregnancy-induced hypertension [8, 2124].

A previous study [7] reported data of diagnoses during the three trimesters, but the data were based on the systems of diseases (i.e., respiratory or circulatory system). We also reported data regarding diagnoses and prescriptions during the three trimesters, but our data were based on more accurate diagnoses of single diseases. The data presented herein indicate that TCM is increasingly being used to treat pregnancy-related complications and symptoms. The diagnoses of these common diseases are consistent with the changes in physiology and pathology that occur during pregnancy [25] and reveal which diseases may most correlate with TCM treatment during the three trimesters. Due to recent trends toward further refinement of modern medicine, obstetricians often focus solely on obstetrical disease, casting aside the other common medical conditions faced by pregnant women. TCM treatment may have clinically curative effects for symptoms or diseases presenting in pregnancy, reduce the side effects and frequency of conventional medicine use, and achieve improved health in pregnant women. A review of relevant literature shows that, when compared with conventional medicine alone, combined use of TCM and standard treatments exhibits superior results and fewer side effects [8]. Furthermore, this research reveals the proportion of diseases diagnosed among pregnant women in Taiwan and may thus be used to guide clinical practices in the country.

Certain herbal formulae were identified as the most commonly used by pregnant women in the present study. Jia-Wei-Xiao-Yao-San can be used to treat anxiety, irritability, stress, depression, premenstrual tension, climacteric syndrome, and infertility [2628]. In particular, the anxiolytic effects of this herbal formula are thought to act through neurosteroid synthesis [29, 30]. Xiang-Sha-Liu-Jun-Zi-Tang has long been used in clinical practice to treat gastrointestinal discomfort such as nausea and vomiting, emaciation, and anorexia. A meta-analysis found that Xiang-Sha-Liu-Jun-Zi-Tang could improve symptoms significantly more than prokinetic drugs in the treatment of functional dyspepsia [31]. Atractylodes Rhizome (Bai Zhu) works together with Scutellariae Radix (Huang Qin) to prevent miscarriage through inhibition of maternal-fetal interface immunity [32]. Past research has shown that Cortex Eucommiae (Du Zhong) contains isoflavonoids, which were reported to exhibit phytoestrogenic and androgenic properties, likely related to the optimization of sex hormone activity in the maternal body [33].

Past studies have demonstrated that physicians and pregnant women should pay particular attention to the safety and adverse effects of drugs and herbs during pregnancy [34, 35]. We found that 81.7% of patients received their first CHM prescription during the first trimester. During the first prenatal visit period, abnormal bleeding from the female genital tract (53%) and dysmenorrhea were the most common diagnoses.

Research has confirmed that some habitual abortion cases are associated with increased blood viscosity [36]. Moreover, habitual abortions may also be associated with autoimmune antibody abnormalities, especially in anti-cardiolipin antibodies (ACLs). The pathological mechanism underlying the contribution of ACLs to habitual abortion is mainly related to thrombosis in the placental blood vessels and uterine spiral arterials, fibroid necrosis, and atherosclerosis [37]. Aspirin or heparin are thus often used to inhibit platelet aggregation and anticoagulation [38].

Our study revealed that most prescriptions and medications met the pharmacopeia’s use specifications, and TCM physicians used them according to their appropriate diagnostic prescriptions. However, according to the warning from the Herbal Pharmacopeia [39], leonuri Herba (Yi Mu Cao) and Shao-Fu-Zhu-Yu-Tang should be used with caution during pregnancy due to possible adverse effects such as increased contractile frequency and activity of the uterus [40]. We speculate that these herbs are likely to be used by older, highly educated women to treat infertility caused by dysmenorrhea and endometriosis disease [41, 42]. Therefore, we recommend that TCM physicians should be cautious when prescribing CHM for pregnant women. Practitioners should avoid excess dosing and long-term use in these patients. The use and prescription patterns of CHM in pregnancy warrant further study and analysis.

Despite our findings, the present study also had some limitations. First, herbs purchased and used by patients themselves were not contained in the NHI records and thus were not included. Therefore, the frequency of TCM utilisation may have been underestimated. Second, no laboratory data or imaging findings of labour outcomes were available in this database; thus, treatment efficacy could not be determined. To establish the underlying biological mechanisms of action of these CHMs, further research should be conducted.

Conclusions

In this population-based study, we found that demographic factors and pre-existing diseases were associated with the use of CHM in pregnant women. It is worth noting that Leonuri Herba (Yi Mu Cao) and Shao-Fu-Zhu-Yu-Tang should be used with caution in the first trimester. Further investigations should be directed to the safety and effectiveness of the use of CHM in pregnant women.

Supplementary information

12906_2020_3032_MOESM1_ESM.docx (28.6KB, docx)

Additional file 1: Table S1. Top 10 diagnosis and prescription in CHM users during pregnancy during follow up. Table S2. The ICD-9-CM codes for maternal comorbidities.

Acknowledgements

The data of this study is obtained from the National Health Insurance Research Database provided by the Bureau of National Health Insurance, Department of Health, and managed by the Health and Welfare Statistics Application Centre, Ministry of Health and Welfare. The interpretations and conclusions contained herein do not represent those of the Bureau of National Health Insurance, Department of Health, or Ministry of Health and Welfare. We thank Editage for English language editing of the manuscript.

Abbreviations

CAM

Complementary and alternative medicine

CHM

Chinese herbal medicine

TCM

Traditional Chinese medicine

NHI

National Health Insurance

ICD-9-CM

International Classification of Disease-Clinical Modification (9th revision)

LHID

Longitudinal health insurance database

ORs

Odds ratios

CIs

Confidence intervals

ACLs

Anti-cardiolipin antibodies

Authors’ contributions

WCC helped to use statistical techniques to analyse study data. HCW and SHW carried out the research and wrote the first draft of the manuscript. HSS revised the manuscript. HCW guided the research project and submitted the manuscript. All authors read and approved the final manuscript.

Funding

We would like to express our sincere gratitude for the support provided for this project in the form of grants from the Taipei Tzu Chi General Hospital (TCRD-TPE-106-22). The sponsors of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

Availability of data and materials

The data that support the findings of this study are available from the Bureau of National Health Insurance, Department of Health, and managed by the Health and Welfare Statistics Application Centre, Ministry of Health and Welfare but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available.

Ethics approval and consent to participate

This study was approved by the Institutional Review Board of Taipei Tzu Chi Hospital, Taipei, Taiwan (Protocol No.:05-W03–050).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12906-020-03032-0.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12906_2020_3032_MOESM1_ESM.docx (28.6KB, docx)

Additional file 1: Table S1. Top 10 diagnosis and prescription in CHM users during pregnancy during follow up. Table S2. The ICD-9-CM codes for maternal comorbidities.

Data Availability Statement

The data that support the findings of this study are available from the Bureau of National Health Insurance, Department of Health, and managed by the Health and Welfare Statistics Application Centre, Ministry of Health and Welfare but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available.


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