| Literature DB >> 28768534 |
Zewdneh Shewamene1,2, Tinashe Dune3,4, Caroline A Smith5.
Abstract
BACKGROUND: There is a paucity of literature describing traditional health practices and beliefs of African women. The purpose of this study was to undertake a systematic review of the use of traditional medicine (TM) to address maternal and reproductive health complaints and wellbeing by African women in Africa and the diaspora.Entities:
Keywords: Africa; Diaspora; Maternal health; Traditional medicine; Women
Mesh:
Year: 2017 PMID: 28768534 PMCID: PMC5541739 DOI: 10.1186/s12906-017-1886-x
Source DB: PubMed Journal: BMC Complement Altern Med ISSN: 1472-6882 Impact factor: 3.659
Fig. 1PRISMA flow chart of included and excluded studies
Summary of the quality of studies
| Quality assessment items | Brief description | Points awarded | Percentage/frequency of studies % (n) | Reference | |
|---|---|---|---|---|---|
| Study methods | |||||
| Recall bias | Low risk | Prospective data collection | 2 | - | - |
| Some risk | Retrospective data collection within previous 12 months | 1 | 33.3 (6) | [ | |
| High risk | Retrospective data collection not within previous 12 months | 0 | 66.7 (12) | [ | |
| Piloted questionnaire (or interview schedule) | Any pilot, feasibility, pretest, or previous use of study materials | 1 | 61.1 (11) | [ | |
| Address potential sources of bias | Report efforts to address nonresponsive bias or information bias | 1 | 16.7 (3) | [ | |
| Adjust for potential confounders | Any adjustment of confounders in analyses of variables associated with TM use | 1 | 27.8 (5) | [ | |
| Sampling | |||||
| Response rate | Where response rate = (number of participants in the study/number of people invited to take part) × 100 | 1 | 44.4 (8) | [ | |
| Representative sampling strategy | Any attempt to achieve a sample of participants that represents the larger population from which they were drawn (but cannot be a single center sample) | 1 | 16.7 (3) | [ | |
| Participant characteristics | |||||
| Specific diagnosis | Report participants’ diagnoses | 1 | 22.2 (4) | [ | |
| Indicator of socioeconomic status | Report participants’ socioeconomic status | 0.5 | 83.3 (15) | [ | |
| Age | Report participants’ ages | 0.5 | 88.9 (16) | [ | |
| Ethnicity | Report participants’ ethnicity | 0.5 | 27.8 (5) | [ | |
| Gender | Report participants’ gender | 0.5 | 100 (18) | [ | |
| TM use | |||||
| TM definition | Information about the definition of TM/a list of TM modalities provided to participants | 2 | 27.8 (5) | [ | |
| Use of TM modalities assessed | Report the prevalence of use of specific TM modalities | 1 | 88.9 (16) | [ | |
| Frequency/duration of TM uses | Report how often or for what duration the TM were/are used by study participants | 1 | 11.1 (3) | [ | |
| Reasons for TM use | Report the reasons for the use of TM by study participants | 2 | 61.1 (11) | [ | |
Quality assessment of individual studies
| Author/ year of publication | Study methods (5 points) | Sampling (2 points) | Participant characteristics (3 points) | TM use (6 points) | Total points awarded (Max = 16) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Recall bias (2 pts) (2 = low risk if data collection was prospective; 1 = some risk if data collection is retrospective within previous 12 months; 0 = high risk) | Piloted questionnaire or interview schedule (1 pt) | Address potential source of bias (1 pt) | Adjust for potential confounders (1 pt) | Response rate (1 pt) | Representative sampling (1 pt) | Specific diagnosis (1 pt) | Indicator of socioeconomic status (0.5 pt) | Age (0.5 pt) | Ethnicity (0.5 pt) | Gender (0.5 pt) | TM definition (2 pts) | Use of TM modalities assessed (1 pt) | Frequency/duration of TM use (1 pt) | Reasons for TM use (2 pts) | ||
| Banda et al., 2007 [ | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.5 | 0.5 | 0.5 | 0.5 | 0 | 0 | 0 | 0 | 5 (31.3%) |
| Bayisa et al., 2014 [ | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0.5 | 0.5 | 0.5 | 0 | 1 | 0 | 2 | 6 (37.5%) |
| Duru et al., 2016 [ | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0.5 | 0.5 | 0.5 | 0.5 | 0 | 1 | 0 | 0 | 7 (43.8%) |
| Elkhoudri et al., 2016 [ | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0.5 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 2 | 6.5 (40.6%) |
| Fakeye et al.,2009 [ | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0.5 | 0.5 | 0 | 0.5 | 1a | 1 | 0 | 2 | 9.5 (59.4.6%) |
| Kaadaaga et al., 2014 [ | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 2 | 9 (56.3%) |
| Lalego et al., 2016 [ | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | 5.5 (34.4%) |
| Mabina et al., 1997 [ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 2 | 4.5 (28.1%) |
| Mbura et al., 1985 [ | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.5 | 0.5 | 0.5 | 0 | 1 | 0 | 2 | 7.5 (46.9%) |
| Mothupi and Carol 2014 [ | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 1a | 1 | 0 | 0 | 5.5 (34.4%) |
| Mugomeri et al., 2015 [ | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 2 | 1 | 0 | 2 | 7.5 (46.9%) |
| Mureye et al., 2012 [ | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0.5 | 0.5 | 0.5 | 0.5 | 1a | 1 | 1 | 0 | 8 (50%) |
| Nergard et al., 2015 [ | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 0 | 1 | 1 | 2 | 6.5 (40.6%) |
| Nyeko et al., 2016 [ | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 2 | 6.5 (40.6%) |
| Orief et al., 2014 [ | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 2 | 5.5 (34.4%) |
| Rasch et al., 2014 [ | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 2 | 4.5 (28.1%) |
| Sarmiento et al., 2016 [ | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 4 (25%) |
| Tamuno et al., 2011 [ | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0.5 | 0 | 0.5 | 2 | 1 | 0 | 0 | 5.5 (34.4%) |
aStudies that explained the definition of TM or provided list of TM modalities to their participants
Fig. 2Prevalence of herbal medicine use among pregnant women in Africa
Characteristics of studies
| Author | Participants’ country of origin | Sample size | Target groups | Prevalence of TM use | Specific types of TMs used | Characteristics of users | Maternal conditions treated by TM/ reasons of use | Source of information or providers | Disclosure of TM use to health care providers | Study design/data collection method |
|---|---|---|---|---|---|---|---|---|---|---|
| Banda et al., 2007 [ | Zambia | 1128 | Pregnant women | 21% | NR | - Users are not different from non- users in terms of age, education, ethnicity or income | NR | NR | 64% of users did not want to share their use of TM to health care providers | Quantitative/Interviewer administered questionnaire |
| Bayisa et al., 2014 [ | Ethiopia | 250 | Pregnant women | 50.4% | Herbal medicine (garlic, ginger, eucalypt, ruta rue) | - Age, educational status, marriage, ethnicity and source of information were not associated with TM use | For treatment of nausea, morning sickness, vomiting, cough, nutritional deficiency | Neighbors, family, health professionals, traditional healers | NR | Quantitative/ semi-structured questionnaire |
| Duru et al., 2016 [ | Nigeria | 500 | Pregnant women and nursing mothers | 36.8% | Herbal medicine (bitter leaf, palm kernel, bitter kola, neem leaves, garlic, jute leaves, ginger | - Pregnant women aged 20–30 years were frequent users (41%) | NR | NR | NR | Quantitative/ semi-structured interview administered questionnaire |
| Elkhoudri et al., 2016 [ | Morocco | 181 | Mothers who gave birth in the last 5 years preceding the study | 42% | Herbal medicine (vervain, cresson, madder, fenugreek, cinnamon, ginger) | - Illiterate women have used TM more frequently | To get back in shape after delivery, facilitate child birth, vomiting, increase breast milk secretion | NR | NR | Quantitative/ interviewer administered questionnaire |
| Fakeye et al.,2009 [ | Nigeria | 595 | Pregnant women | 67.5 | Herbal medicine (detail is not reported) | - Age, geographical zones and educational status were strongly associated with TM use (detail description of age category and education level were not reported) | Users perceived better effectiveness to TM than conventional medicine, cultural beliefs to TM, better accessibility, lower cost and other reasons were reported | Local herb sellers, herbalists | 56.6% of participants did not support combining with herbs with medications | Quantitative/ structured questionnaire |
| Kaadaaga et al., 2014 [ | Uganda | 260 | Women with fertilization problem | 76.2 | Herbal medicine (detail is not reported) | - Married women with infertility problem were more likely to use TM | Treatment of infertility | NR | 63.8% of users did not disclose TM use to their physicians | Quantitative/interviewer administered structured questionnaire |
| Lalego et al., 2016 [ | Ethipiopia | 363 | Pregnant women | 73.1 | Herbal medicine (ginger, garlic, eucalyptus, ruta rue, ocimumlamifolium, garden cress | - being on first trimester, less education and having less knowledge about TM favored use of TM | Management of nausea, vomiting, abdominal pain, cold, fever | Parents/relatives, neighbor, herbalists | NR | Quantitative/ interviewer administered structured questionnaire |
| Mabina et al., 1997 [ | South Africa | 577 | Pregnant women | 43.7 | Herbal medicine | - Those having knowledge about herbal medicine and on second trimester were frequent users of TM | NR | Parents, relatives, TBA, herbalist, friends | NR | Quantitative/ questionnaire |
| Mbura et al., 1985 [ | Tanzania | Pregnant women | 42% | Herbal medicine | - Prevalence of TM use among pregnant women from the rural and urban areas has no difference | To treat pregnancy related symptoms, to assist labor | NR | NR | Quantitative/ interview administered questionnaire | |
| Mothupi and Carol 2014 [ | Kenya | 333 | Mothers who gave birth in the past 9 months before the study | 12% | Herbal medicine (detail was not provided) | - Women with no formal education were more likely to use TM | To treat swollen feet, back pain, digestive problems. High cost, inaccessibility and distance of health facilities resort respondents to TM use | Family, friends, open markets, herbal clinics | Only 12.5% of user disclosed use of TM to their doctors. About 51% of users reported use of combined herbs with pharmaceutical drugs | Quantitative/ interviewer administered questionnaire |
| Mugomeri et al., 2015 [ | Lesotho | 72 | Pregnant women | 47.2 | Herbal medicine (detail was not reported) | - 50% of users were on the second trimester | Prevention of abortion, prevention of placenta praevia, promotion of fetal growth, edema, spiritual cleansing and relief of pain | Grandmothers, mothers-in-law, TH, TBA | NR | Quantitative/ semi-structured questionnaire |
| Mureye et al., 2012 [ | Zimbabwe | 248 | Pregnant women | 52% | TM (holy water, soil burrowed by moles, elephant dung, cocktails of unknown herbs, lubricants and others | - Being in the age range of 20–25, nulliparity and nulligravidity predicted frequent use of TM | To prevent perineal tearing, placenta retention, breech presentation, postpartum hemorrhage, prolonged labor and preeclampsia | NR | NR | Quantitative/ interviewer administered questionnaire |
| Nergard et al., 2015 [ | Mali | 209 | Pregnant women and mothers | 79.9% | Herbal medicine (Lippia chevalieri, combretum micranthum and others) | - Socio-demographic characteristics were not associated with use of herbal medicines | For general wellbeing, as dietary supplements, to treat edema, urinary tract infection, and tiredness | NR | Pregnant women used herbal preparation without any supervision from care providers | Quantitative/ interviewer administered questionnaire |
| Nyeko et al., 2016 [ | Uganda | 383 | Pregnant women | 20% | Herbal medicine (detail wan not reported) | - Women who used herbal medicine in the past were eight times more likely to use during the current pregnancy | To treat waist pain, fever, nausea and vomiting. For induction of labor and difficulty in accessing health facilities. | NR | 90% of users did not disclose to their health care providers | Mixed method / questionnaire survey and FGDs |
| Orief et al., 2014 [ | Egypt | 300 | Pregnant women | 27.3 | Herbal medicine (Aniseed, fenugreek, ginger, garlic, green tea and peppermint) | - Statistically significant difference was found regarding the age, gravidity, parity and BMI among the pregnant women who used herbal medicines (details were not reported) | To treat abdominal colic during pregnancy, nausea and vomiting and headache | Friends, family, physician | NR | Quantitative/ questionnaire survey |
| Rasch et al., 2014 [ | Tanzania | 125 | Women who had unsafe abortion | 43% | Herbal medicine ( | - 22% of users ingested medicinal plants orally to induce abortion | To induce abortion | NR | NR | Quantitative/ interviewer administered questionnaire |
| Sarmiento et al., 2016 [ | Nigeria | 5686 | Pregnant women in the past 2 years | 24.1% | NR | - Socioeconomic factors were not associated with use of TM | To assist childbirth | NR | NR | Quantitative/ interviewer administered questionnaire |
| Tamuno et al., 2011 [ | Nigeria | 500 | Pregnant women | 31.4% | Herbal medicine (ginger, garlic | - Women with no formal education were more likely to use TM | NR | NR | Over 40% of women reported combined use of herbs and drugs | Quantitative/ self-administered questionnaire |
| Naidu 2014 [ | South Africa | 21 | women who were either pregnant or women who had had children | NA |
| Women’s have a strong cultural belief to | NA | NA | NR | Qualitative/ interview |
| Kooi and Theobald 2006 [ | South Africa | 27 |
| The use of | NA | NA | communication about the use of | Qualitative/interview |
NR = not reported; NA = not applicable