Literature DB >> 23016608

Prevalence and patterns of prenatal use of traditional medicine among women at selected harare clinics: a cross-sectional study.

Dudzai D Mureyi1, Tsitsi G Monera, Charles C Maponga.   

Abstract

BACKGROUND: Prenatal use of traditional medicine or complementary and alternative medicine is widespread globally despite the lack of evidence of the effectiveness of these therapeutic options. Documentation on the prevalence and patterns of this maternal practice in the Zimbabwean setting was also lacking.
METHODS: A cross sectional survey of 248 women at selected health centres in Harare was carried out to address the need for such data using an interviewer-administered questionnaire.
RESULTS: Fifty-two (52%) (95% C.I. 44%-60%) of the participants reported to have used at least one traditional medicine intervention during the third trimester of their most recent pregnancy to induce labour, avoid perineal tearing and improve the safety of their delivery process. The study found prenatal use of traditional medicine to be significantly associated with nulliparity and nulligravidity. Such practice was also significant among participants residing in a particular high density suburb located in close proximity to informal traders of traditional medicines. Prenatal traditional medicine use was not significantly linked to experiencing an obstetrics-related adverse event. Instead, participants who reported not using any traditional medicine during pregnancy reported experiencing significantly more adverse events, mainly perineal tearing during delivery.
CONCLUSIONS: The practice of prenatal use of traditional medicine was significant in the study setting, with a prevalence of 52%. A variety of products were used in various dosage forms for differing indications. Nulliparity, nulligavidity and possible accessibility of these products were the factors significantly associated with prenatal use of traditional medicine. Prenatal use of traditional medicine was not significantly associated with any obstetric adverse event.

Entities:  

Mesh:

Year:  2012        PMID: 23016608      PMCID: PMC3533916          DOI: 10.1186/1472-6882-12-164

Source DB:  PubMed          Journal:  BMC Complement Altern Med        ISSN: 1472-6882            Impact factor:   3.659


Background

Traditional medicine (TM) is defined as, “the sum total of knowledge, skills and practices based on the theories, beliefs and experiences indigenous to different cultures that are used to maintain health, as well as to prevent, diagnose, improve or treat physical and mental illnesses” [1]. Prenatal use of TM is widespread globally despite the lack of evidence of its safety. Some literature even suggested the lack of safety of prenatal use of TM [2], [3]. Investigators in a clinical trial testing the effectiveness of early application of a non-pneumatic anti-shock garment for obstetric haemorrhage (NASG) at a satellite health facility in Zimbabwe hypothesized that the prenatal use of some TMs especially Cannabis sativa was linked to post-partum haemorrhage and uterine rupture. The investigators requested the authors to find out the mechanism of action of these TMs. A preliminary cross-sectional study to validate these anecdotal claims was required before any in-vitro studies to discover the mechanism of action of these TMs could be designed. The objectives of this study were to; 1) determine the prevalence of prenatal use of TM within a sample of women drawn from selected clinics, 2) find out the most commonly used traditional medicines, 3) determine which factors were significantly associated with the practice, and 4) determine whether prenatal use of TM was significantly associated with obstetric-related adverse events such as perineal tearing. Identification of the most commonly used traditional medicines would then form the basis for further studies to address the query that had been raised by the NASG team.

Methods

A cross-sectional study design was chosen as the best observational method to determine prevalence and associations [4]. Twelve Harare public maternity clinics from where participants of the NASG clinical trial were being drawn were selected as the study sites. Participants were drawn from women who presented at the study sites for the mandatory six weeks postnatal reviews between 1 November 2010 and 31 March 2011. An interviewer-administered questionnaire (see Figure 1), was used to collect data from eligible participants after the study’s working definition of “Traditional Medicine” was explained to them. This questionnaire was formulated by modifying the one used by Rahman and co-workers [5]. The questionnaire was then piloted among 20 participants before being adopted as the study’s data collection tool. The sample size of at least 246 was calculated to enable estimation of the proportion of women who used traditional medicines during the prenatal period at a 95% confidence level, allowing for a 5% margin of error. This was after the pilot study revealed that 80%of the population of interest utilised traditional medicines during the prenatal period. Eligible participants were Shona or English speaking women visiting the study sites for their six weeks postnatal reviews during the specified period, who were able to give their full informed consent. The six-week period was regarded as long enough to allow the participants to recover from the birthing experience yet short enough post-delivery to avoid recall bias among the participants. At least 20 participants were recruited from each site. Before sampling was done at any given site, the investigator met all the participants, carried out a self-introduction, and informed the participants about the interview’s concern with their experiences during their latest pregnancy but did not disclose the exact study title. This was done to minimise recruitment bias. After the meeting, the women were invited into a private room one at a time to receive more details about the study objectives and the written informed consent process. Those who gave their full informed consent went on to complete the interviewer-administered questionnaire while those who could not give their consent were allowed to leave the room. Collected data were entered on a Microsoft Excel 2007© spreadsheet for mathematical operations such as calculation of totals, means and proportions and for construction of tables and charts. Stata Version 8.0™ was used for further statistical analysis. Chi Square tests were performed to test the significance of associations and a p-value of <0.05 was considered to be significant. This study was approved by the Harare City Council Department of Health and was deemed ethically sound by the Joint Parirenyatwa Hospital and University of Zimbabwe College of Health Sciences Research Committee (JREC), Reference Number; JREC/104/11.
Figure 1

Data Collection Tool .

Data Collection Tool .

Results

Demographic characteristics

Participants’ ages ranged from 16–50 years old and average age was 26 years (Standard deviation = 6.1 years). All participants were married and all had received at least primary level education. All except three participants cited Christianity as their religion. The rest of the characteristics of the study participants are summarised in Table 1 along with their respective p-values (as indicators of significant association to prenatal use of TM).
Table 1

Demographic characteristics of thestudy participants

Characteristic
Frequency n (%) n= 248
P value
 Users = 129 (52.02)S.E (3.17%)Non-users = 119 (47.98)SE (3.17%)Total = 248 (100) 
Age (years)
<20
15 (6.05) S.E (1.51%)
7 (2.82) S.E (1.05%)
22 (8.87) S.E (0.57%)
P = 0.113
20-25
60 (24.2) SE (2.72%)
37 (14.91) SE (2.26%)
97 (39.11) SE (3.1%)
P = 0.021
26-30
30 (12.09) SE (2.07%)
41 (16.62) SE (2.36%)
71 (28.63) SE (2.87%)
P = 0.183
31-40
21 (8.47) SE (1.77%)
30 (12.09) SE (2.07%)
51 (20.56) SE (2.57%)
P = 0.206
>40
3 (1.21) SE (0.69%)
4 (1.61) SE (0.8%)
7 (2.82) SE (1.51%)
P = 0.714
Level of Education
None
0 (0)
0(0)
0 (0)
 
Primary
7 (2.82) SE (1.05%)
6 (2.42) SE (0.98%)
13 (5.24) SE (1.41%)
P = 0.7774
Secondary
114 (46) SE (3.16%)
99 (39.89) SE (3.11%)
213 (85.89) SE (2.21%)
P = 0.244
Tertiary
8 (3.22) SE (1.12%)
14 (5.65) SE (1.47%)
22 (8.87) SE (0.57%)
P = 0.205
Employment
Housewife
83 (33.47) SE (3.00%)
63 (23.4) SE (2.69%)
146 (56.87) SE (3.14%)
P = 0.094
Self-Employed
22 (8.87) SE (0.57%)
32 (12.9) SE (2.13%)
54 (21.77) SE (2.62%)
P = 0.193
Formally employed
13 (5.24) SE (1.41%)
20 (8.07) SE (1.73%)
33 (13.31) SE (2.28%)
P = 0.216
Student
11 (4.44) SE (1.31%)
4 (1.61) SE (0.8%)
15 (6.05) SE (1.51%)
P = 0.107
Parity
1
58 (23.39) SE (2.69%)
29 (11.69) SE (2.04%)
87 (35.08) SE (3.03%)
P = 0.004
2
45 (18.15) SE (2.45%)
45 (18.15) SE (2.45%)
90 (36.29) SE (3.05%)
P = 1.000
3
20 (8.06) SE (1.73%)
36 (14.52) SE (2.24%)
56 (22.58) SE (2.65%)
P = 0.044
4
5 (2.02) SE (0.89%)
7 (2.82) SE (1.05%)
12 (4.84) SE (1.36%)
P = 0.585
5
1 (0.41) SE (0.41%)
1 (0.41) SE (0.41%)
2 (0.81) SE (0.57%)
P = −*
6
0 (0)
1 (0.41) SE (0.41%)
1 (0.40) SE (0.41%)
P = −*
Gravida
1
52 (21) SE (2.59%)
23 (9.27) SE (1.84)
75 (30.24) SE (2.92%)
P = 0.002
2
41 (16.5) SE (2.36%)
43 (17.34) SE (2.4%)
84 (33.87) SE (3.00%)
P = 0.855
3
27 (10.89) SE (1.98%)
40 (16.13) SE (2.34%)
67 (27.02) SE (2.82%)
P = 0.108
4
8 (3.23) SE (1.12%)
10 (4.03)SE (1.25%)
18 (7.26) SE (1.65%)
P = 0.555
5
1 (0.41) SE (0.41%)
1 (0.41) SE (0.41%)
2 (0.81) SE (0.57%)
P = −*
6
2 (0.81) SE (0.57%)
0 (0)
2 (0.81) SE (0.57%)
P = −*
Tribe
Zezuru
60 (24.19) SE (2.72%)
55 (22.18) SE (2.64%)
115 (46.37) SE (3.17%)
P = 0.668
Karanga
18 (7.26) SE (1.65%)
14 (5.64) SE (1.47%)
32 (12.90) SE (2.13%)
P = 0.558
Maungwe
12 (4.84) SE (1.36%)
11 (4.43) SE (1.31%)
23 (9.27) SE (1.84%)
P = 0.661
Manyika
9 (3.63) SE (1.19%)
14 (5.64) SE (1.47%)
23 (9.27) SE (1.84)
P = 0.303
Ndebele
5 (2.02) SE (0.89%)
4 (1.61) SE (0.8%)
9 (3.63) SE (1.19%)
P = 0.720
Korekore
13 (5.24) SE (1.41%)
11 (4. 44) SE (1.31%)
24 (9.68) SE (1.88%)
P = 0.696
Ndau
2 (0.81) SE (0.57%)
3 (1.21) SE (0.69%)
5 (2.02) SE (0.89%)
P = 0.661
Toko
7 (2.82) S.E (1.05%)
4 (1.61) SE (0.8%)
11 (4.44) SE (1.31%)
P = 0.370
Foreigner
3 (1.21) SE (0.69%)
3 (1.21) SE (0.69%)
6 (2.42) SE (0.98%)
P = 1.000
Area of Residence
Budiriro
11 (4.44) SE (1.31%)
9 (3.63) SE (1.19%)
20 (8.06) SE (1.73%)
P = 0.656
Mbare
15 (6.05) SE (1.51%)
5 (2.02) SE (0.89%)
20 (8.06) SE (1.73%)
P = 0.046
Glen View
12 (4.84) SE (1.36%)
8 (3.22) SE (1.12%)
20 (8.06) SE (1.73%)
P = 0.380
Hatcliffe
11 (4.44) SE (1.31%)
9 (3.63) SE (1.19%)
20 (8.06) SE (1.73%)
P = 0.656
Highfield
24 (9.68) SE (1.88%)
19 (7.66) SE (1.69%)
43 (17.34) SE (2.4%)
P = 0.443
Kambuzuma
12 (4.84) SE (1.36%)
8 (3.22) SE (1.12%)
20 (8.06) SE (1.73%)
P = 0.380
Kuwadzana
9 (3.63) SE (1.19%)
11 (4.44) SE (1.31%)
20 (8.06) SE (1.73%)
P = 0.656
Mabvuku/Tafara
6 (2.42) SE (0.98%)
14 (5.64) SE (1.47%)
20 (8.06) SE (1.73%)
P = 0.097
Mufakose
10 (4.03) SE (1.25%)
15 (6.05) SE (1.51%)
25 (10.08) SE (1.73%)
P = 0.327
Dzivarasekwa
6 (2.42) SE (0.98%)
14 (5.64) SE (1.47%)
20 (8.06) SE (1.73%)
P = 0.097
Warren Park13 (5.24) SE (1.41%)7 (2.82) S.E (1.05%)20 (8.06) SE (1.73%)P = 0.199

* Not enough observations to test for significance. Table 1 shows the demographic characteristics of the study population; their age, level of education and employment status according to whether they were prenatal users of TM interventions (users) or non-users.

SE = Standard Error.

Demographic characteristics of thestudy participants * Not enough observations to test for significance. Table 1 shows the demographic characteristics of the study population; their age, level of education and employment status according to whether they were prenatal users of TM interventions (users) or non-users. SE = Standard Error.

Prevalence

In total, 248 participants at the twelve study sites were interviewed, and of these, 129, reported that they employed at least one traditional medicine-based intervention during pregnancy. The prevalence of prenatal use of TM within the study population was 52% (n = 129, 95% C.I. = 44%- 60% and Standard error of 3.17%).

Patterns of use

The most commonly used traditional medicine interventions, their dosing regimens and the indications for use are summarised in Table 2. Users reported use of at least one intervention but several used more than one as shown in Figure 2. Among the users, the majority (n = 96) used only a single intervention, 27 users used two interventions concomitantly while 5 employed three interventions. Only one user reported the use of four interventions during a single pregnancy. Characteristics of pregnant women which were significantly associated with prenatal use of TM were; being in the 20–25 age group (p = 0.021), nulliparity (p = 0.004), nulligravidity (p = 0.002), and residing in the Mbare high density neighbourhood (p = 0.046). Tribe of origin, religion and level of education and employment status were not statistically significantly associated with prenatal use of TM. This study revealed that women regarded perineal tearing during parturition as an adverse and undesirable event. Widening of the birth canal to prevent perineal tearing was therefore the most common indication for using traditional medicine during pregnancy. Perineal tearing was reported to have been experienced by 140 participants. Other perinatal adverse events reported were; postpartum haemorrhage (n = 2), retained placenta (n = 1), breech birth (n = 1), prolonged labour (n = 2), eclampsia (n = 1) and erratic postnatal bleeding (n = 1). Interestingly, it was noted that the non-use of traditional medicine was significantly associated with experiencing at least one adverse event, (p = 0.001). Use of TM was not found to be significantly associated with adverse events (p = 0.339). Other conditions which predisposed women to adverse events (mainly perineal lacerations), were nulliparity (p = 0.012) and nulligravidity (p = 0.029).
Table 2

Patterns of prenatal useof TM within thestudy population

InterventionDosing regimenIndication(s)
Holy water
Drunk in 3rd trimester or throughout pregnancy in amounts which are at the patient’s discretion.
· For protection against evil spirits
 
 
· For a safe and uneventful delivery
Soil from burrowing mole
Soil is mixed with water and the supernatant is drunk in varying amounts in the 3rd trimester
For widening of birth canal to avoid perineal tearing
Pouzolzia mixta (nhanzva)
Aqueous extract of root is applied intravaginally in 3rd trimester, usually with manual exercises to dilate the birth canal.
For widening of birth canal to avoid perineal tearing
Elephant Dung
Dung is mixed with water and variable amounts of the supernatant are drunk during the 3rd trimester
For widening of birth canal to avoid perineal tearing
Unknown herbs/concoctions
Unspecified amounts are taken during the 3rd trimester or even during labour
· For widening of birth canal
 
 
· For labour induction
Manual exercises
Performed by hand lubricated with oil, soap, warm water or Poulozozia mixta, in 3rd trimester
Dilation of birth canal to avoid tearing
Abelmoschus esculuntus (Okra/derere)
Cooked and taken orally in the 3rd trimester.
· Nutrition
 
 
· Widening of birth canal
Hot water/steam baths
Taken inconsistently during the 3rd trimester
Birth canal dilatation
Cannabis sativum (mbanje)
Aqueous extract is drunk as soon as labour commences
Labour induction to speed up the labour
Dicerocaryum zanguebarium (ruredzo)
Administered both orally and intravaginally in the 3rd trimester
Widening of birth canal to avoid tearing
Castor oil
5 ml taken at night daily in 3rd trimester
For constipation and labour induction
Rooibos Tea
Taken frequently throughout the pregnancy
For widening of birth canal to avoid tearing
Other*Varying methodsWidening of birth canal and labour induction

*Other interventions used by participants: “church-made” coffee (n  = 1), Albizia amara (muora) (n  = 1), Terminalia sericea (mususu) (n  = 1), hare droppings (n  = 1), warm water drinks (n  = 4), ricinus communis root (n  = 1), avocado seeds (n - 1), apple seeds (n  = 1), Table 2 shows the traditional medicine interventions used and the dosing regimens employed, the stage of pregnancy in which the intervention was used and the number of participants (n) who reported using the intervention. NB: * denotes “Other interventions” used by participants: “church-made” coffee (n = 1), Albizia amara (muora) (n  = 1), Terminalia sericea (mususu) (n  = 1), hare droppings (n  = 1), warm water drinks (n = 4), ricinus communis root (n = 1), avocado seeds (n-1), apple seeds (n  = 1).

Figure 2

The number of womenwho used different numbersof TMs concurrently duringtheir pregnancies. Figure 2 shows the number of women who used different numbers of traditional medicine interventions during their pregnancy. Among users, the majority (n = 96) used only a single intervention, 27 users used two interventions concomitantly while 5 employed three interventions. Only one user reported the use of four interventions during a single pregnancy.

Patterns of prenatal useof TM within thestudy population *Other interventions used by participants: “church-made” coffee (n  = 1), Albizia amara (muora) (n  = 1), Terminalia sericea (mususu) (n  = 1), hare droppings (n  = 1), warm water drinks (n  = 4), ricinus communis root (n  = 1), avocado seeds (n - 1), apple seeds (n  = 1), Table 2 shows the traditional medicine interventions used and the dosing regimens employed, the stage of pregnancy in which the intervention was used and the number of participants (n) who reported using the intervention. NB: * denotes “Other interventions” used by participants: “church-made” coffee (n = 1), Albizia amara (muora) (n  = 1), Terminalia sericea (mususu) (n  = 1), hare droppings (n  = 1), warm water drinks (n = 4), ricinus communis root (n = 1), avocado seeds (n-1), apple seeds (n  = 1). The number of womenwho used different numbersof TMs concurrently duringtheir pregnancies. Figure 2 shows the number of women who used different numbers of traditional medicine interventions during their pregnancy. Among users, the majority (n = 96) used only a single intervention, 27 users used two interventions concomitantly while 5 employed three interventions. Only one user reported the use of four interventions during a single pregnancy. Almost all TM interventions were employed beginning at the onset of the 3rd trimester and doses and dosing intervals were rarely standardised. The most commonly used TMs (reported to have been used by N > 10) were; holy water, soil burrowed by moles, Pouzolzia mixta root (nhanzva), elephant dung, cocktails of unknowns herbs and manual exercises with various lubricants.

Discussion

This study detected 52% prevalence of prenatal use of TM with a standard error of 3.17%, lower than the study’s acceptable margin error of 5%. This prevalence value is within the same range as the one reported by Rahman and co-workers from similar work in Tumpat district, Malaysia in 2008 (50.4%), [5] by Kalder et al., in Germany in 2010 (50.8%) [6], by Cuzzolini and colleagues in Italy in the year 2010 (46.7%) [7] and by Mabina et al. in South Africa in 1997 [8]. While similar, the prevalence values from other studies were measuring prenatal use of only herbal medicines as opposed to this study which measured the use of traditional remedies as well as consultation of traditional practitioners. This prevalence rate of 52% is not necessarily representative of the whole of Zimbabwe because the selection of study sites was not random and representative of Zimbabwe. Rather, the sites were chosen only because they were the same sites at which the NASG clinical trial is being conducted. The indications for use reported by women in this study differed from those in reviewed literature. The primary goal for the participants in this study seemed to be the prevention of perineal lacerations, labour augmentation and achieving a safe delivery process while the motivation for use by women from Western countries was to treat conditions precipitated by pregnancy, to supplement their nutritional supply and to treat the same conditions usually treated by conventional medicines [6]. Other indications reported in literature were; increasing sexual pleasure [3], spiritual cleansing [5] and also for lactation [9]. Because data collection was based on what the interviewees reported, the study was vulnerable to recall bias and possibly deliberate incorrect answers in cases where the correct answer could be incriminating to the participant. Only two study participants reported using Cannabis sativa (mbanje) - based TM for labour induction. The investigator had anticipated this number to be higher considering that the conductors of the NASG clinical trial had implied that their subjects reported its use frequently. Because use of Cannabis sativa is an illicit practice according to the Medicines and Allied Substances Control Act Chapter 15:03 of Zimbabwe, participants could have been deterred from reporting that they used it regardless of the confidentially agreement. The study population was almost homogeneous as far as demographic characteristics were concerned. All except three participants cited Christianity as their religion and all reported that they had received at least primary level education with the majority (86%) reporting that they had received education only up to the secondary level. The mere location of the study sites meant that the women available for recruitment all resided in high density residential areas, which might limit generalizability of the results. The most commonly used TM interventions reported in this study were not consistent with those reported by any of the literature reviewed prior to data collection. This emphasized the need for every region to perform its own study because results from different parts of the world were not necessarily analogous. Nulliparity and nulligravidity were found to be significantly associated with prenatal use of TM, possibly because without prior experience, nullipara women were prone to accepting advice concerning their pregnancy. Nulliparity and nulligravidity were also predisposing factors to experiencing adverse events, mostly perineal tears, just as Lindgren and co-workers highlighted [10]. The authors could not fully establish why residing in the Mbare neighbourhood was significantly associated with prenatal use of TM. However, it could be postulated to be due to the close proximity of Mbare to Harare’s largest population of informal vendors, including TM vendors (Mbare Musika).

Conclusions

Based on the findings of this study, it was concluded that, the prevalence of prenatal use of traditional medicine among women seen at the selected Harare clinics was 52% at a standard error of 3.17%. Of these users, the majority (N = 96) used a single intervention while others used two or more. Pregnant women in Harare’s high density residential areas used TM practices to induce labour, avoid perineal tearing and improve the safety of their delivery process. This study alone did not address the query which the NASG Clinical Trial team raised concerning a possible link between excessive postpartum bleeding and prenatal use of traditional medicine. However, because the most commonly used TM interventions were identified in this study, further extensive literature searches and in-vitro studies could follow. Characteristics of pregnant women which were significantly associated with prenatal use of TM were; being in the 20–25 age group (p = 0.021), nulliparity (p = 0.004), nulligravidity (p = 0.002), and residing in Mbare (p = 0.046). Statistically, the tribe of origin, religion and level of education and employment status were not significantly associated with prenatal use of TM. Non-use of TM, nulliparity and nulligravidity were found to be significantly associated with experiencing adverse events while use of TM was not. Because prenatal use of TM was fairly common practice while those participants who claimed non-use of TM reported experiencing more adverse events, further confirmatory studies with more refined designs such as case–control, cohort or animal studies would be warranted. Such studies would determine which medicines, if any, were protective against or causative of obstetric adverse events, hence establish the possible mechanism of action and provide the necessary clinical evidence for encouraging or discouraging the prenatal use of TM.

Competing interests

There were no competing interests for any of the authors.

Authors’ contributions

CCM made substantial contributions to the conception and design of the study and gave final approval for the version to be published. TGM was involved in the design of the study and revising the manuscript critically for important intellectual content. DDM collected data, analysed and interpreted it, funded the study and drafted the manuscript. All authors read and approved the final manuscript.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6882/12/164/prepub
  9 in total

Review 1.  Observational research methods. Research design II: cohort, cross sectional, and case-control studies.

Authors:  C J Mann
Journal:  Emerg Med J       Date:  2003-01       Impact factor: 2.740

2.  The effect of traditional herbal medicines on pregnancy outcome. The King Edward VIII Hospital experience.

Authors:  M H Mabina; S B Pitsoe; J Moodley
Journal:  S Afr Med J       Date:  1997-08

3.  Use of complementary and alternative medicine during pregnancy and delivery.

Authors:  Matthias Kalder; Katrin Knoblauch; Igor Hrgovic; Karsten Münstedt
Journal:  Arch Gynecol Obstet       Date:  2010-02-23       Impact factor: 2.344

4.  Use of herbal products among 199 Italian women during pregnancy.

Authors:  Laura Cuzzolin; Giovanni Zanconato; Daniela Ventrella; Giuseppina Benoni
Journal:  Eur J Obstet Gynecol Reprod Biol       Date:  2010-01-12       Impact factor: 2.435

5.  Effect of maternal raspberry leaf consumption in rats on pregnancy outcome and the fertility of the female offspring.

Authors:  Jill R Johnson; Emilija Makaji; Shirley Ho; Denis J Crankshaw; Alison C Holloway
Journal:  Reprod Sci       Date:  2009-03-10       Impact factor: 3.060

6.  Use of herbal drugs in pregnancy: a survey among 400 Norwegian women.

Authors:  Hedvig Nordeng; Gro C Havnen
Journal:  Pharmacoepidemiol Drug Saf       Date:  2004-06       Impact factor: 2.890

7.  Prevalence and pattern of use of herbal medicines during pregnancy in tumpat district, kelantan.

Authors:  Azriani Ab Rahman; Siti Amrah Sulaiman; Zulkifli Ahmad; Wan Nudri Wan Daud; Abdul Manaf Hamid
Journal:  Malays J Med Sci       Date:  2008-07

8.  Chinese herbal medicine use in Taiwan during pregnancy and the postpartum period: a population-based cohort study.

Authors:  Chao-Hua Chuang; Pei-Jen Chang; Wu-Shiun Hsieh; Yih-Jian Tsai; Shio-Jean Lin; Pau-Chung Chen
Journal:  Int J Nurs Stud       Date:  2009-02-03       Impact factor: 5.837

9.  Fear causes tears - perineal injuries in home birth settings. A Swedish interview study.

Authors:  Helena E Lindgren; Åsa Brink; Marie Klinberg-Allvin
Journal:  BMC Pregnancy Childbirth       Date:  2011-01-18       Impact factor: 3.007

  9 in total
  10 in total

1.  Prevalence of traditional, complementary, and alternative medicine (TCAM) among adult cancer patients in Malawi.

Authors:  Jacob Hill; Ryan Seguin; Agness Manda; Maria Chikasema; Olivia Vaz; Quefeng Li; Hannan Yang; Satish Gopal; Jennifer S Smith
Journal:  Cancer Causes Control       Date:  2022-04-13       Impact factor: 2.532

2.  Traditional Medicine Utilisation Among Pregnant Women in Sub-saharan African Countries: A Systematic Review of Literature.

Authors:  Nicholas Mudonhi; Wilfred N Nunu
Journal:  Inquiry       Date:  2022 Jan-Dec       Impact factor: 2.099

3.  Associations between the use of herbal medicines and adverse pregnancy outcomes in rural Malawi: a secondary analysis of randomised controlled trial data.

Authors:  Collins Zamawe; Carina King; Hannah Maria Jennings; Edward Fottrell
Journal:  BMC Complement Altern Med       Date:  2018-05-25       Impact factor: 3.659

4.  Prevalence of Traditional Medicine Use during Pregnancy, at Labour and for Postpartum Care in a Rural Area in Zimbabwe.

Authors:  Tariro Mawoza; Charles Nhachi; Thulani Magwali
Journal:  Clin Mother Child Health       Date:  2019-04-30

5.  Perceptions of Pregnant Women on Traditional Health Practices in a Rural Setting in South Africa.

Authors:  Mvulakazi Patricia Thipanyane; Sibusiso Cyprian Nomatshila; Olanrewaju Oladimeji; Hannibal Musarurwa
Journal:  Int J Environ Res Public Health       Date:  2022-04-01       Impact factor: 3.390

6.  Use of alternative and complementary therapies in labor and delivery care: a cross-sectional study of midwives' training in Catalan hospitals accredited as centers for normal birth.

Authors:  Ester Muñoz-Sellés; Antoni Vallès-Segalés; Josefina Goberna-Tricas
Journal:  BMC Complement Altern Med       Date:  2013-11-15       Impact factor: 3.659

7.  Use of complementary and alternative medicine in pregnancy: a cross-sectional survey on Iraqi women.

Authors:  Jung Hye Hwang; Yu-Rim Kim; Mansoor Ahmed; Soojeung Choi; Nihad Qasim Al-Hammadi; Nameer Muhammad Widad; Dongwoon Han
Journal:  BMC Complement Altern Med       Date:  2016-07-07       Impact factor: 3.659

Review 8.  The use of traditional medicine in maternity care among African women in Africa and the diaspora: a systematic review.

Authors:  Zewdneh Shewamene; Tinashe Dune; Caroline A Smith
Journal:  BMC Complement Altern Med       Date:  2017-08-02       Impact factor: 3.659

9.  Effectiveness and safety of herbal medicines for induction of labour: a systematic review and meta-analysis.

Authors:  Collins Zamawe; Carina King; Hannah Maria Jennings; Chrispin Mandiwa; Edward Fottrell
Journal:  BMJ Open       Date:  2018-10-17       Impact factor: 2.692

10.  Traditional, complementary and alternative medicine use in Sub-Saharan Africa: a systematic review.

Authors:  Peter Bai James; Jon Wardle; Amie Steel; Jon Adams
Journal:  BMJ Glob Health       Date:  2018-10-31
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.