| Literature DB >> 36256659 |
Cedrick S Mutombo1,2, Salvius A Bakari1, Vianney N Ntabaza1, Amandine Nachtergael2, Jean-Baptiste S Lumbu3, Pierre Duez2, Joh B Kahumba1.
Abstract
In the Democratic Republic of Congo, the desire of the Ministry of Health to integrate Traditional African Medicine into the Official Health System remains limited by the lack of reliable data on several aspects of this medicine. This study aims to determine the perceptions of the Lubumbashi population towards Traditional African Medicine and the contexts of recourse to these therapeutic modalities. We conducted semi-structured interviews of population samples in each of the 7 Lubumbashi municipalities, which were semi-randomly selected in proportions to each population size, from January to June 2017 and from February to July 2018. A total of 4278 people (average age, 32.1 ± 10.4 years; 36.5% of women) have been surveyed. Among them, 75.8% define "Traditional African Medicine" as "herbal-based treatments"; 79.4% have resorted to traditional medicine, for several pathologies and social problems. This medicine was preferred for efficiency, speed of healing and low cost, as well as the presence of the diseases against which it would be the only one used. Most, (52.1%) have started with Conventional Medicine, then resorted to Traditional African Medicine, 34.7% started directly with Traditional African Medicine, while 13.2% combined these two medicines. From those who have resorted to Traditional African Medicine (n = 3396), 55% declare no concern towards traditional medicine, while 42.5% fear looseness, overdose, intoxication, and lack of hygiene; from those who have not resorted to Traditional African Medicine (n = 882), 78% are fearful of fear looseness, witchcraft, and fetishism. Traditional African Medicine remains an important health care resource for the Lubumbashi people. It is essential that decision-makers consider the importance of this health sector for the population, but also the reported fears and hindrances, and work towards the regulation, sanitization, and control of this medicine to ensure its safe use.Entities:
Mesh:
Year: 2022 PMID: 36256659 PMCID: PMC9578634 DOI: 10.1371/journal.pone.0276325
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Studies conducted in different categories of the population across DR Congo to determine the proportions of traditional medicine (TM) use.
| Population categories | Study area | Key variable of interest | Sample size | Proportion of TM user (%) | Mode of TM use | Year | Ref |
|---|---|---|---|---|---|---|---|
| Survivors of the 1995 Ebola outbreak | Kikwit | Health experience during the Ebola illness | 34 | 26 | Not determined | 1998 | [ |
| Inhabitants of the Kisenso municipality | Kinshasa | Perception of traditional practitioners by the populations | 435 | 100 | Consultation of traditional practitioners | 2013 | [ |
| Students 18–35 years old met on the campus of the University of Lubumbashi | Lubumbashi (Kassapa Campus) | Prevalence and characteristics of self-medication | 515 | 84.9 | Self-medication | 2014 | [ |
| Pregnant women consulting health centers for antenatal consultation | Kipushi | Use of TM products during pregnancy | 400 | 7.5 | Not determined | 2014 | [ |
| Hypertensive patients aged > 18 years resorting to primary health care | Kinshasa | Prevalence and determinant of traditional medicine use | 280 | 26.1 | Not determined | 2014 | [ |
| Patients over 15 years of age interned in 10 HGR for malaria | Lubumbashi (hospitals) | Self-medication with malaria products | 4960 | 73.6 | Self-medication | 2018 | [ |
| General population | Gbado-Lite | Knowledge and practices towards Covid-19 | 200 | 21.5 | Not determined | 2020 | [ |
| Users of social networks. | Lubumbashi | Knowledge, attitudes, and practices towards Covid-19 | 478 | 52.8 | Self-medication | 2020 | [ |
| Adults living in urban and rural areas | South Kivu | Prevalence and risk factors of chronic kidney disease | 1317 | 22.2 | Not determined | 2020 | [ |
a A focus group of 15 people, supplemented by 35 focus groups of 12 people, in a sample of 5 districts
b Proportion of people who have advocated the use of medicinal plants in case of symptoms associated with the coronavirus (Covid-19)
Fig 1(A) Geographical map of Lubumbashi city and its situation in the Haut-Katanga province and in the Democratic Republic of Congo, (B) Choropleth map showing the levels of the TAM use in the different municipalities of Lubumbashi city. This map was created by the first author with the QGis 3.12 Open-Source software from shapefiles provided by the University of Lubumbashi Department of Geography.
Size of Lubumbashi’s municipalities populations and corresponding sample sizes.
| Municipality | Investigation year | Population size | Minimal representative sample (nadj) | Surveyed people | Exceeding |
|---|---|---|---|---|---|
| Annexe | 2018 | 399 632** | 384 | 822 | 53.3 |
| Lubumbashi | 2018 | 323 062** | 384 | 759 | 49.5 |
| Katuba | 2017 | 318 774* | 384 | 661 | 41.9 |
| Kampemba | 2018 | 306 591** | 384 | 660 | 41.8 |
| Ruashi | 2017 | 224 039* | 384 | 497 | 22.7 |
| Kenya | 2018 | 112 283** | 383 | 456 | 16.0 |
| Kamalondo | 2018 | 36 838** | 381 | 423 | 9.9 |
| Total | 2679 | 4278 | 37.4 | ||
a According to investigation year of a given municipality, we obtained population size for 2016*, or 2017**
b Minimum sample size for population proportion of 0.50, error margin of 0.05 and confidence level of 0.95.
c Percentages calculated on the number of surveyed people.
nadj: Adjusted sample size
Sociobiographical data of interviewees.
| Variables | Modalities | n | % | The proportion of TAM users % [95% IC] | Khi-square |
|---|---|---|---|---|---|
| Gender | Male | 2716 | 63.5 | 77.1 [75.6–78.7] | 22.956 |
| Female | 1562 | 36.5 | 83.3 [81.4–85.1] | ||
| Age (years) | 20 to 35 | 3024 | 70.7 | 78.2 [76.8–79.7] | |
| 36 to 50 | 1022 | 23.9 | 81.5 [79.1–83.9] | 32.890 | |
| 51 to 65 | 170 | 3.9 | 82.9 [77.3–88.6] | ||
| 66 to 80 | 58 | 1.4 | 89.6 [81.8–97.5] | r = 0.9534 | |
| 81 and over | 4 | 0.09 | 100 [100–100] | ||
| Education level | No studies | 448 | 10.5 | 79.2 [75.5–82.9] | 30.650 |
| Primary | 269 | 6.3 | 88.5 [84.7–92.3] | ||
| Secondary | 1915 | 44.8 | 81.8 [80.0–83.5] | ||
| University | 1632 | 38.1 | 75.3 [73.2–77.4] | ||
| No answer | 14 | 0.3 | 57.1 [31.2–83.1] | ||
| Profession or occupation at the survey time | No occupation | 1166 | 27.3 | 81.2 [79.0–83.5] | 7.142 |
| No answer | 736 | 17.2 | 81.4 [78.6–84.2] | ||
| Students | 532 | 12.4 | 74.4 [70.7–78.1] | ||
| Commercial activities | 505 | 11.8 | 82.4 [79.0–85.7] | ||
| Teachers | 319 | 7.5 | 72.4 [67.5–77.3] | ||
| Farmers | 169 | 3.9 | 71.6 [64.8–78.4] | ||
| Other | 851 | 19.9 | 80.6 [78.0–83.3] | ||
| Monthly income at the survey time | No answer | 2524 | 58.9 | 78.7 [77.1–80.3] | 23.118 |
| No precision | 355 | 8.3 | 91.0 [88.0–94.0] | ||
| It’s a personal secret | 165 | 3.9 | 71.5 [64.6–78.4] | r = - 0.8816 | |
| Less than 50 USD | 207 | 4.8 | 86.5 [81.8–91.1] | ||
| 50 to 150 USD | 550 | 12.9 | 81.3 [78.0–84.5] | ||
| 151 to 300 USD | 324 | 7.6 | 72.5 [67.7–77.4] | ||
| More than 300 USD | 153 | 3.6 | 69.9 [62.7–77.2] | ||
| Marital statuts | Single | 1831 | 42.8 | 74.1 [72.1–76.1] | 15.048 |
| Married | 2387 | 55.8 | 83.5 [81.9–84.9] | ||
| Divorced | 11 | 0.3 | 63.6 [55.2–72.0] | ||
| Widowers | 49 | 1.1 | 83.7 [73.3–94.0] | ||
| Residential environment | Urban | 1861 | 43.5 | 78.1 [76.3–80.0] | 3.159 |
| Peri-urban | 2417 | 56.5 | 80.3 [78.8–81.9] | ||
| Ethnic groups or tribes | Luba-Katanga | 1094 | 25.6 | 80.7 [78.4–83.1] | 8.857 |
| Luba-Kasai | 604 | 14.1 | 79.6 [76.4–82.8] | ||
| Lunda | 322 | 7.5 | 78.6 [74.1–83.1] | ||
| Bemba | 318 | 7.4 | 85.2 [81.3–89.1] | ||
| Other | 1388 | 32.4 | 81.2 [79.1–83.3] | ||
| No answer | 552 | 12.9 | 69.0 [65.2–72.9] | ||
| Religion | Protestant Christians | 2347 | 54.9 | 80.4 [78.8–82.0] | 32.597 |
| Catholic Christians | 1088 | 25.4 | 73.3 [70.7–76.0] | ||
| Muslims | 152 | 3.6 | 82.3 [76.2–88.3] | ||
| Kimbanguists | 117 | 2.7 | 92.3 [87.5–97.1] | ||
| No answer | 339 | 7.9 | 74.0 [69.4–78.7] | ||
| Other | 235 | 5.5 | [93.7–98.6] |
* Statistically significant correlation; ns: statistically insignificant correlation
a Pearson’s correlation coefficient between the means of age ranges and the proportion of the TAM recourse
b Monthly incomes quoted in Congolese Francs (CDF) have been converted to United State Dollars (USD) at the exchange rate of 1600 CDF for 1 USD (in august 2018)
c Pearson’s correlation coefficient between the averages of monthly income ranges and the proportion of the TAM recourse.
The proportion of TAM recourses according to the residential municipality of surveyed people in Lubumbashi.
| Considered groups | Rate of TAM use (%) and 95% CI | Statistic comparison (Khi-square) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| AN | KM | KP | KT | KN | LB | RS | |||
| Total sample (n = 4278) | 79.4 [78.2–80.6%] |
|
|
|
|
|
|
| |
| Residential municipality | Annexe (n = 822) | 82.5 [78.9–86.1%] | – | ns | ns | ns | ns |
| ns |
| Kamalondo (n = 423) | 84.1 [81.3–86.9%] | ns | – | ns | ns | ns |
| ns | |
| Kampemba (n = 660) | 83.0 [80.3–85.7%] | ns | ns | – | ns | ns |
| ns | |
| Katuba (n = 661) | 77.5 [74.6–80.3%] | ns | ns | ns | – |
|
| ns | |
| Kenya (n = 456) | 90.3 [87.7–92.9%] | ns | ns | ns |
| – |
|
| |
| Lubumbashi (n = 759) | 63.6 [60.0–67.3%] |
|
|
|
|
| – |
| |
| Ruashi (n = 497) | 77.9 [74.0–81.7%] | ns | ns | ns | ns |
|
| – | |
ns: Insignificant difference
* Significant difference
AN: Annexe, KM: Kamalondo, KP: Kampemba, KT: Katuba, KN: Kenya, LB: Lubumbashi, RS: Ruashi
Fig 2Risks quoted by those combining traditional and conventional medicine treatments (n = 327).
The major motivation for resorting to traditional African medicine in Lubumbashi city.
| Cited motivations | (%) n = 3396 |
|---|---|
| Efficiency | 52.9 |
| Speed of healing | 19.1 |
| Low cost | 16.1 |
| Specificity for certain diseases | 2.3 |
| Ease of use | 2.3 |
| Testimonials | 1.8 |
| Habit | 1.4 |
| Availability | 1.1 |
| No pain | 0.8 |
| Use of natural products | 0.7 |
| Confidentiality of traditional healers | 0.4 |
| Proximity | 0.3 |
| Protection against evil spirits | 0.2 |
| No surgical intervention | 0.1 |
| Others motivations | 0.5 |
a Interviewees were asked to cite the single most important reason motivating recourse to TAM
b Some motivations whose quote frequency is less than à 0.1%
Fig 3Applied criteria to choose caregivers (A) and categories of caregivers consulted by respondents who have recourse to traditional medicine (B).
Fig 4Variability of the treatment cost by diseases categories.
The box corresponds to percentiles 25 and 75; the line to the median; the whiskers to percentiles 10 and 90. Abbreviations, BLD: Blood diseases; CVD: Cardiovascular diseases; DRD: Dermatological diseases; EAD: Eating disorders; END: Ear, Nose, and Throat Diseases; ERD: Erectile disorders; GID: Gastrointestinal disorders; GOD: Gyneco-obstetric disorders; INFD: Infectious diseases; IFLD: Inflammatory diseases; LVD: Liver problems; LOD: Local diseases; LCD: Locomotor disorders; MBD: Metabolic disorders; NRD: Neurological disorders; NMD: Neuromuscular disorders; NSS: Nonspecific symptoms; OCD: Ocular disease; OND: Oncological diseases; ORD: Oral disorders; PRD: Parasitic diseases; RND: Renal disorders; RSD: Respiratory disorders; TRD: Traumatic diseases, URD: Urological diseases, VLD: veino-capillary diseases.
Fears for TAM, mentioned by informants who recoursed to traditional medicine and those who did not.
| Cited fears | Those who have used TAM (%, n = 3396) | Those who did not use TAM (%, n = 882) | Chi-square (X²) |
|---|---|---|---|
| Bitter recipes | 0.6 | - | - |
| Rituals | 2.0 | - | - |
| Therapeutic failure | 1.0 | - | - |
| Fetishism | 1.8 | 5.8 | 2.188 ( |
| Dose imprecisions | 8.6 | 19.6 | 4.995 ( |
| Intoxication | 6.6 | 8.7 | 0.312 ( |
| It is shameful | 1.4 | 4.4 | 1.598 ( |
| Lack of hygiene | 3.4 | 8,8 | 2.545 ( |
| No fear | 54.8 | 16.3 | 32.347 ( |
| Overdose | 8.6 | 7.6 | 0.067 ( |
| Prohibitions | 2.4 | 0.5 | 1.263 ( |
| Side effects | 1.2 | 1.7 | 0.087 ( |
| Non trained healers | - | 4.5 | - |
| Witchcraft | 0.5 | 15.7 | 15.519 ( |
| Worsening of the disease | 0.9 | 0.7 | 0.025 ( |
| Non answer | 6.2 | 5.7 |
* Statistically significant difference
Decisions envisaged by TAM users in the event failure of their treatment.
| Envisaged decisions | Frequencies (%) in all the TAM users (n = 3396) | Frequencies (%) according to the study level | |||
|---|---|---|---|---|---|
| No study (n = 448) | Elementary (n = 269) | Secondary (n = 1915) | University (n = 1632) | ||
| Change traditional healer | 2.8 | 1.7 | 1.3 | 2.4 | 4.3 |
| Continue treatment | 1.4 | 0.6 | 2.1 | 0.8 | 2.1 |
| Doubling dose | 2.2 | - | 0.4 | 1.6 | 2.1 |
| Mix the two medicines | 1.4 | 2.8 | 0.8 | 1.3 | 1.3 |
| Recourse to the Christian prayer | 30.9 | 38.6 | 37.4 | 37.1 | 21.6 |
| Repeat the treatment | 2.1 | 4.2 | 3.4 | 1.7 | - |
| Combine the TAM treatment and Christian prayer | 21.5 | 19.5 | 24.8 | 20.4 | 23.2 |
| Use conventional medicine | 32.9 | 28.9 | 24.8 | 31.4 | 45.4 |
| No decision (the treatment of TAM does not fail) | 4.8 | 3.7 | 5.0 | 3.3 | - |