| Literature DB >> 33364851 |
Abebe Shiferaw1, Assefa Mulu Baye2, Wondwossen Amogne3, Mamo Feyissa2.
Abstract
BACKGROUND: The use of herbal medicine is common among HIV/AIDS patients due to chronic nature of the disease. However, the data are scarce on the extent of herbal medicine use and associated factors among HIV/AIDS patients while on antiretroviral therapy (ART) in Ethiopia.Entities:
Keywords: HIV/AIDS; PLWH; Tikur Anbessa Specialized Hospital; herbal medicine
Year: 2020 PMID: 33364851 PMCID: PMC7751574 DOI: 10.2147/HIV.S283810
Source DB: PubMed Journal: HIV AIDS (Auckl) ISSN: 1179-1373
Sociodemographic and Clinical Characteristics of Study Participant, TASH, Addis Ababa, Ethiopia (n=318)
| Sociodemographic Characteristics | Frequency | Percent | |
|---|---|---|---|
| Gender | Male | 121 | 38.1 |
| Female | 197 | 61.9 | |
| Age (years) | ≤30 | 41 | 12.9 |
| 31–45 | 146 | 45.9 | |
| 46–60 | 102 | 32.1 | |
| 61+ | 29 | 9.1 | |
| Marital status | Single | 80 | 25.5 |
| Married | 141 | 44.3 | |
| Widowed | 63 | 19.7 | |
| Divorced | 34 | 10.7 | |
| Religion | Orthodox | 202 | 63.5 |
| Muslim | 67 | 21.1 | |
| Protestant | 47 | 14.8 | |
| Catholic | 2 | 0.6 | |
| Educational level | Illiterate | 78 | 24.5 |
| Primary school | 71 | 22.3 | |
| Secondary school | 109 | 34.3 | |
| Certificate/diploma | 39 | 12.3 | |
| Degree and above | 21 | 6.6 | |
| Occupation | Unemployed | 81 | 25.5 |
| Self-employee | 123 | 38.7 | |
| Public servant | 70 | 22.0 | |
| House wife | 33 | 10.4 | |
| Student | 11 | 3.5 | |
| Residency | Addis Ababa | 291 | 91.5 |
| Out of Addis Ababa | 27 | 8.5 | |
| Duration on ART (years) | ≤5 | 62 | 19.5 |
| 6–10 | 112 | 35.2 | |
| 11–15 | 118 | 37.1 | |
| 16+ | 26 | 8.2 | |
| WHO clinical stage at ART initiation | Stage 1 | 272 | 85.5 |
| Stage 2 | 33 | 10.4 | |
| Stage 3 | 8 | 2.5 | |
| Stage 4 | 5 | 1.6 | |
| Current ART regimens | TDF/3TC/EFV | 176 | 55.3 |
| TDF/3TC/ATV/r | 57 | 17.9 | |
| TDF/3TC/NVP | 10 | 3.1 | |
| AZT/3TC/EFV | 32 | 10.1 | |
| AZT/3TC/NVP | 14 | 4.4 | |
| AZT/3TC/ATV/r | 17 | 5.3 | |
| Others* | 12 | 3.8 | |
| Co-morbid conditions | Yes | 61 | 19.2 |
| No | 257 | 80.8 | |
| Opportunistic infection | Yes | 177 | 55.7 |
| No | 141 | 44.3 | |
| Encountered side effects | Yes | 107 | 33.6 |
| No | 211 | 66.4 | |
| Current CD4 count | ≤200 | 32 | 10.1 |
| 201–350 | 49 | 15.4 | |
| 351–500 | 116 | 36.5 | |
| 501+ | 121 | 38.1 | |
| Current viral load | ≤1000 | 287 | 90.3 |
| 1001+ | 26 | 8.2 | |
| Unrecorded | 5 | 1.6 | |
Notes: *Include AZT/3TC/LPV/r, TDF/3TC/NVP, ABC/3TC/LPV/r.
Figure 1The reason for use herbal medicine among PLWH in TASH, Ethiopia, 2019.
The Herbal Medicines Used Among PLWH in TASH, Addis Ababa, Ethiopia (n=83)
| Scientific Name | Name of Plant Used | Frequency n (%) | Parts of Plant Used | Use as Stated by Study Participants |
|---|---|---|---|---|
| Garlic | 31 (37.4) | Bulb | Common cold, abdominal discomfort, cough, throat, chill, fever, weight reduction | |
| Damakese | 19 (22.9) | Leaf | Herpes simplex virus, common cold | |
| Flax seeds | 15(18.3) | Seeds | Ulcer, abdominal discomfort | |
| Garden cress | 12 (14.5) | Fruit | Abdominal discomfort, tonsil | |
| Moringa | 9 (10.8) | Leaf | Weight reduction, diabetic, throat pain | |
| Ginger | 8 (9.6) | Rhizome | Common cold, abdominal discomfort, cough, throat, allergic | |
| Kosso | 2 (2.4) | Leaf | Abdominal discomfort | |
| Lemon | 2(2.4) | Fruit | Tonsil, Abdominal discomfort | |
| Unspecified herbs | 14 (16.8) | Unknown, Leaf, fruit | HIV/AIDS, herpes zoster, cough, cold, ulcer |
The Association and Determinant Sociodemographic Factors for Herbal Medicine Use Among PLWH, TASH, Addis Ababa (N=318)
| Characteristics | Herbal Drug Use n (%) | Bivariate Analysis | Multivariate Analysis | |||
|---|---|---|---|---|---|---|
| Yes | No | p-value* | AOR (CI) | P-value* | ||
| Gender | Male | 22 (18.2) | 99 (81.8) | 0.012 | Rf | |
| Female | 61 (31.0) | 136 (69.0) | 1.99 (1.02–3.88) | 0.044 | ||
| Age (years) | ≤30 | 7 (17.1) | 34 (82.9) | 0.002 | Rf | |
| 31–45 | 37 (25.3) | 109 (74.7) | 2.34 (0.60–9.15) | 0.223 | ||
| 46–60 | 23 (22.6) | 79 (77.4) | 2.43 (0.87–6.83) | 0.092 | ||
| 61+ | 16 (55.2) | 13 (44.8) | 2.79 (1.02–7.65) | 0.046 | ||
| Marital status | Single | 10 (12.5) | 70 (87.5) | 0.001 | Rf | |
| Married | 35 (24.8) | 106 (75.2) | 2.06 (2.69–6.18) | 0.082 | ||
| Widowed | 27 (42.9) | 36 (57.1) | 1.01 (0.41–2.49) | 0.801 | ||
| Divorced | 11 (32.4) | 23 (67.6) | 0.82 (0.31–2.21) | 0.883 | ||
| Religion | Orthodox | 58 (28.7) | 144 (71.3) | 0.115 | Rf | |
| Muslim | 19 (28.4) | 48 (71.6) | 0.000 | 0.999 | ||
| Protestant | 6 (12.8) | 41 (87.2) | 0.000 | 0.999 | ||
| Catholic | 0 (0) | 2 (100) | 0.000 | 0.999 | ||
| Educational level | Illiterate | 31 (39.7) | 47 (61.3) | 0.000 | Rf | |
| Primary school | 26 (36.6) | 45 (63.4) | 0.39 (0.07–2.01) | 0.258 | ||
| Secondary school | 18 (16.5) | 91 (83.5) | 0.42 (0.08–2.14) | 0.296 | ||
| Certificate/diploma | 6 (15.4) | 33 (84.6) | 0.94 (0.19–4.78) | 0.943 | ||
| Degree and above | 2 (9.5) | 19 (90.5) | 1.0 (0.17–5.79) | 0.996 | ||
| Occupation | Unemployed | 25(30.9) | 56 (69.1) | 0.133 | Rf | |
| Self-employee | 33 (26.8) | 90 (73.2) | 1.06 (0.48–2.32) | 0.892 | ||
| Student | 2 (18.2) | 9 (81.8) | 0.93 (0.36–2.36) | 0.870 | ||
| House wife | 12 (36.4) | 21 (63.6) | 1.15 (0.20–6.77) | 0.878 | ||
| Public servant | 11 (15.7) | 59 (84.3) | 1.21 (0.467–3.15) | 0.692 | ||
Note: *P-value of <0.05 is significant.
Abbreviations: AOR, adjusted odds ratio; CI, confidence interval with 95% probability; Rf, reference.
The Association and Determinant Clinical Factors for Herbal Medicine Use Among PLWH, TASH, Addis Ababa (n=318)
| Characteristics Variable | Herbal Drug Use (n) | Bivariate Analysis | Multivariate Analysis | |||
|---|---|---|---|---|---|---|
| Yes | No | p-value* | AOR (95%, CI) | P-value | ||
| Duration on ART (years) | ≤5 | 14 (22.6) | 48 (77.2) | 0.291 | ||
| 6–10 | 25(22.3) | 87 (77.7) | ||||
| 11–15 | 34 (28.8) | 84 (71.2) | ||||
| 16+ | 10 (38.5) | 16 (61.5) | ||||
| WHO clinical stage at ART initiation | Stage 1 | 65 (28.9) | 207 (71.1) | 0.074 | Rf | |
| Stage 2 | 11 (33.3) | 22 (66.7) | 4.40 (0.65–29.83) | 0.130 | ||
| Stage 3 | 4 (50) | 4 (50) | 3.57 (0.47–27.26) | 0.221 | ||
| Stage 4 | 3 (60) | 2 (40) | 2.03 (0.19–22.16) | 0.561 | ||
| Current ART regimens | TDF/3TC/EFV | 40 (22.7) | 136 (77.3) | 0.532 | ||
| TDF/3TC/ATV/r | 19 (31.6) | 38 (68.4) | ||||
| TDF/3TC/NVP | 4 (40) | 6 (60) | ||||
| AZT/3TC/EFV | 9 (28.1) | 23 (71.9) | ||||
| AZT/3TC/NVP | 2 (14.3) | 12 (85.7) | ||||
| AZT/3TC/ATV/r | 5 (29.4) | 12 (70.6) | ||||
| Others$ | 4 (33.3) | 8 (66.7) | ||||
| Co-morbid conditions | Yes | 21 (34.4) | 40 (65.6) | 0.100 | Rf | |
| No | 62 (24.1) | 195 (75.9) | 0.82 (0.43–1.56) | 0.540 | ||
| Opportunistic infection | Yes | 61 (34.5) | 116 (65.5) | 0.000 | 2.02 (1.12–3.65) | 0.023 |
| No | 22 (15.6) | 119 (84.4) | Rf | |||
| Encountered side effects | Yes | 46 (43) | 61 (57) | 0.000 | 2.80, (1.55–5.10) | 0.001 |
| No | 37 (17.5) | 174 (82.5) | Rf | |||
| Current CD4 count | ≤ 200 | 10 (31.3) | 22 (68.7) | 0.624 | ||
| 201–350 | 11 (22.4) | 38 (77.6) | ||||
| 351–500 | 27 (23.3) | 89 (76.7) | ||||
| 501+ | 35 (28.9) | 86 (71.1) | ||||
| Current viral load | ≤ 1000 | 76 (26.5) | 211 (73.5) | 0.419 | ||
| 1001+ | 5 (19.2) | 21 (81.8) | ||||
| Unrecorded | 2 (40) | 3 (60) | ||||
Notes: *P-value of <0.05 is significant; $Include AZT/3TC/LPV/r, TDF/3TC/NVP, ABC/3TC/LPV/r.
Abbreviations: AOR, adjusted odds ratio; CI, confidence interval with 95% probability; Rf, reference.