| Literature DB >> 33402952 |
Mercy Quarm1, Elvis Tarkang2,3, Lilian Pencille2, Prosper Lutala4.
Abstract
Barbering poses risks of HIV transmission if it is not conducted in a hygienic manner. This study assessed the knowledge, attitudes and prevention practices regarding HIV transmission among barbers in the Ho Municipality, Ghana. A cross-sectional design was employed in Ho Municipality, and data were collected from 121 participants and analysed using Stata version 13.0 at the significance level of 0.05. Knowledge was low (63.6%) and was associated with attitude [COR=4.37 (95% CI: 1.98-9.62); p<0.001] and with level of education [COR=4.92 (95% CI: 1.70-14.21); p=0.003]. Attitude was inadequate (58.7%) and was associated with level of education [COR=3.47 (95% CI: 1.18-10.14); p=0.023]. Poor prevention practice was high (87.6%) and was associated with work experience [COR=20.72 (95% CI: 3.86-111.05); p<0.001] and location of operation [COR=4.92 (95% CI: 1.60-15.14); p=0.006]. Programmes aimed at improving knowledge, attitudes and practices should focus on Barbers in urban communities, those without any formal education, and those with less than five years work experience.Entities:
Keywords: Barbers; Ghana; HIV/AIDS; Knowledge; attitudes and practice
Year: 2020 PMID: 33402952 PMCID: PMC7756492 DOI: 10.4314/ahs.v20i3.9
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 0.927
Demographics and occupational characteristics of Participants
| Variable | Frequency (N) | Percent (%) |
| Mean age (S.D) | 26.5(±5.63) | |
| <20 | 8 | 6.6 |
| 20–29 | 81 | 66.9 |
| 30–39 | 28 | 23.1 |
| 40+ | 4 | 3.4 |
| Single | 66 | 54.6 |
| Married | 39 | 32.2 |
| Cohabiting | 13 | 10.7 |
| Divorced | 3 | 2.5 |
| None | 21 | 17.4 |
| Primary | 42 | 34.7 |
| Secondary | 54 | 44.6 |
| Post-secondary | 4 | 3.3 |
| Christian | 96 | 79.3 |
| Muslim | 20 | 16.6 |
| Traditional | 5 | 4.1 |
| <5 years | 59 | 48.8 |
| 5–10 years | 43 | 35.5 |
| > 10 years | 19 | 15.7 |
| <5 Assistants | 113 | 93.4 |
| >5 Assistants | 8 | 6.6 |
| < 10 | 45 | 37.2 |
| 10–19 | 53 | 43.8 |
| 20+ | 23 | 19.0 |
| Urban | 93 | 76.9 |
| Rural | 28 | 23.1 |
| Apprenticeship | 70 | 57.9 |
| Barbering school | 6 | 5.0 |
| On the job training | 31 | 25.6 |
Knowledge on HIV/AIDS of Participants
| Variable | Frequency (N) | Percent (%) |
| Yes | 114 | 94.2 |
| No | 7 | 5.8 |
| Germs | 37 | 30.6 |
| Virus | 58 | 47.9 |
| Witchcraft | 14 | 11.7 |
| Bacteria | 6 | 4.9 |
| Others | 6 | 4.9 |
| Yes | 88 | 72.7 |
| No | 14 | 11.6 |
| Do not know | 19 | 15.7 |
| Yes | 80 | 66.1 |
| No | 22 | 18.2 |
| Do not know | 19 | 15.7 |
| Yes | 76 | 62.8 |
| No | 22 | 15.8 |
| Do not know | 19 | 21.4 |
| Yes | 82 | 67.8 |
| No | 7 | 5.7 |
| Do not know | 32 | 26.5 |
Figure 1Overall level of knowledge of Barbers on HIV/AIDS
Association between demographic characteristics of barbers and odds of knowledge
| Variable | Knowledge | Chi-square | COR(95%CI)p-value | AOR(95%CI)p-value | |
| Age group | Good | Poor knowledge | |||
| <20 | 5(6.5) | 3(6.8) | |||
| 20–29 | 50(64.9) | 31(70.5) | 0.96(0.21, 4.33)0.966 | 0.97 (0.13, 7.07) 0.983 | |
| 30–39 | 21(27.3) | 7(15.9) | 1.8 (0.33, 9.53) 0.490 | 0.84 (0.06, 10.76) 0.896 | |
| 40+ | 1(1.3) | 3(6.8) | 4.27(0.233) | 0.2 (0.01, 2.91) 0.239 | 0.18 (0.00, 8.77) 0.393 |
| Single | 46(59.7) | 20(45.5) | |||
| Married | 24(31.2) | 15(34.1) | 0.69 (0.30, 1.58) 0.389 | 0.33 (0.07, 1.54) 0.161 | |
| Cohabiting | 4(5.2) | 9(20.4) | |||
| Divorced | 3(3.9) | 0(0.0) | 3.08 (0.15, 62.50) 0.463 | 1.03 (0.01, 88.80) 0.987 | |
| None | 7(9.1) | 14(31.8) | |||
| Primary | 27(35.1) | 15(34.1) | 4.34 (0.91, 20.69) 0.065 | ||
| Secondary | 39(50.7) | 15(34.1) | |||
| Post-secondary | 4(5.1) | 0(0.0) | 17.40 (0.82, 368.08) 0.067 | 41.19 (1.15, 1471.84) 0.042 | |
| Christian | 63(81.8) | 33(75.0) | |||
| Muslim | 13(16.9) | 7(15.9) | 0.97 (0.35, 2.67) 0.957 | 0.90 (0.25, 3.27) 0.883 | |
| Traditional | 1(1.3) | 4(9.1) | 4.29(0.117) | 0.13 (0.01, 1.22) 0.074 | 0.38 (0.03, 4.17) 0.434 |
| <5 years | 32(41.5) | 27(61.4) | |||
| 5–10 years | 33(42.9) | 10(22.7) | |||
| > 10 years | 12(15.6) | 7(15.9) | 5.44(0.066) | 1.44 (0.49, 4.18) 0.496 | 8.42 (0.64, 109.7) 0.104 |
| <5 Assistants | 73(94.8) | 40(90.9) | |||
| >5 Assistants | 4(5.2) | 4(9.1) | 0.68(0.407) | 0.54 (0.13, 2.30) 0.412 | 0.14 (0.00, 2.15) 0.159 |
| < 10 | 35(45.5) | 10(22.7) | |||
| 10–19 | 29(37.6) | 24(54.6) | |||
| 20+ | 13(16.9) | 10(22.7) | 0.37 (0.12, 1.09) 0.073 | 0.14 (0.04, 1.34) 0.107 | |
| Urban | 60(77.9) | 33(75.0) | |||
| Rural | 17(22.1) | 11(25.0) | 0.13(0.714) | 0.85 (0.35, 2.02) 0.714 | 0.26 (0.06, 1.11) 0.070 |
| Apprenticeship | 45(58.4) | 25(56.8) | |||
| Barbering school | 5(6.5) | 1(2.3) | 2.77 (0.30, 25.11) 0.363 | 3.67 (0.05, 237.0) 0.540 | |
| On the job training | 15(19.5) | 16(36.4) | 0.52 (0.22, 1.22) 0.136 | 0.47 (0.13, 1.67) 0.247 | |
| Others | 12(15.6) | 2(4.5) | 7.08(0.069) | 3.33 (0.69, 16.09) 0.134 | 7.21 (0.56, 91.77) 0.128 |
| Poor attitude | 28 (63.6) | 22 (28.6) | |||
| Good attitude | 16 (36.4) | 55 (71.4) | |||
Attitude of Barbers regarding HIV/AIDS
| Variables | Number | Percentage |
| Yes | 34 | 28.1 |
| No | 87 | 71.9 |
| Yes | 83 | 68.6 |
| No | 38 | 31.4 |
| Yes | 104 | 85.9 |
| No | 17 | 14.1 |
| Welcome the person | 50 | 41.3 |
| Reject the person | 23 | 19.0 |
| Welcome, but will sterilize afterwards | 14 | 11.6 |
| Others | 34 | 28.1 |
| Good Attitude | 71 | 58.7 |
| Bad Attitude | 50 | 41.3 |
Association between demographic characteristics of Barbers and odds of Attitude
| Variable | Attitude | Chi-square | COR(95%CI)p-value | AOR(95%CI)p-value | |
| Educational | Poor | Good Attitude | |||
| No | 13(26.0) | 8(11.3) | |||
| Primary | 13(26.0) | 29(40.8) | 4.02 (0.84, 19.07) 0.079 | ||
| Secondary | 24(48.0) | 30(42.3) | 1.97 (0.72, 5.42) 0.186 | 2.71 (0.55, 13.19) 0.216 | |
| Post-secondary | 0(0.0) | 4(5.6) | 14.29 (0.68, 300.37) 0.087 | 21.97 (0.56, 854.8) 0.098 | |
| Christian | 38(76.0) | 58(81.7) | |||
| Muslim | 10(20.0) | 10(14.1) | 0.65 (0.24, 1.72) 0.392 | 1.08 (0.33, 3.50) 0.898 | |
| Traditional | 2(4.0) | 3(4.2) | 0.98 (0.15, 6.15) 0.985 | 1.08 (0.03, 29.83) 0.961 | |
| <5 years | 27(54.0) | 32(45.1) | |||
| 5–10 years | 20(40.0) | 23(32.4) | 0.97 (0.44, 2.13) 0.940 | 0.96 (0.27, 3.36) 0.959 | |
| > 10 years | 3(6.0) | 16(22.5) | 2.65 (0.26, 26.26) 0.404 | ||
| Apprenticeship | 23(46.0) | 47(66.2) | |||
| Barbering school | 4(8.0) | 2(2.8) | 0.24 (0.04, 1.43) 0.119 | 0.23 (0.03, 1.56) 0.134 | |
| On the job | 20(40.0) | 11(15.5) | |||
| Others | 3(6.0) | 11(15.5) | 1.7 (0.45, 7.06) 0.403 | 0.63 (0.11, 3.55) 0.606 | |
| Urban | 42(84.0) | 51(71.5) | |||
| Rural | 8(16.0) | 20(28.5) | 1.53 (0.40, 5.14) 0.531 | 2.05 (0.82, 5.84) 0.122 | |
| Poor Knowledge | 28 (56.0) | 16 (22.5) | |||
| Good Knowledge | 22 (44.0) | 55 (77.5) | |||
| Poor Practices | 47 (94.0) | 59 (83.10) | |||
| Good Practices | 3 (6.0) | 12 (16.9) | 3.18 (0.84, 11.95) 0.086 | 1.55 (0.21, 11.20) 0.664 | |
Prevention practices of Barbers regarding HIV/AIDS
| Variables | Number | Percentage |
| Yes | 101 | 83.5 |
| No | 20 | 16.5 |
| Yes | 61 | 50.4 |
| No | 60 | 49.6 |
| Water and disinfectant | 76 | 62.8 |
| Cotton soaked in a disinfectant | 24 | 19.8 |
| Water and Soap | 17 | 14.1 |
| 4 | 3.3 | |
| Immediately after use on one client | 104 | 85.9 |
| After use on several clients | 17 | 14.1 |
| Never clean them | 0 | 0.0 |
| After every client | 45 | 37.2 |
| After more than 3 clients | 18 | 14.8 |
| After more than 5 clients | 17 | 14.1 |
| Not at all | 40 | 33.1 |
| Others | 1 | 0.8 |
| Yes | 75 | 62.0 |
| No | 46 | 38.0 |
| Weekly | 4 | 3.3 |
| Monthly | 36 | 29.8 |
| Yearly | 20 | 16.5 |
| Others | 61 | 50.4 |
| Good Practices | 15 | 12.4 |
| Bad Practices | 106 | 87.6 |
Figure 3Methods used for sterilization barbing instruments
Figure 4Disinfectants commonly used
Association between demographic characteristics of Barbers and odds of practices
| Variable | Practices | Chi-square | COR(95%CI)p-value | AOR(95%CI)p-value | |
| Age group | Poor | Good practices | |||
| <20 | 8(7.6) | 0(0.0) | |||
| 20–29 | 73(68.9) | 8(53.3) | 1.96 (0.10, 37.15) 0.652 | 1.51 (0.07, 33.90) 0.796 | |
| 30–39 | 22(20.7) | 6(40.0) | 4.91 (0.24, 96.95) 0.296 | 0.56 (0.01, 23.71) 0.759 | |
| 40+ | 3(2.8) | 1(6.7) | 4.29(0.231) | 7.28 (0.23, 225.89) 0.257 | 0.35 (0.00, 50.98) 0.681 |
| No formal education | 19(17.9) | 2(13.3) | |||
| Primary | 36(33.9) | 6(40.0) | 1.38 (0.29, 6.60) 0.679 | 1.16 (0.13, 10.44) 0.895 | |
| Secondary | 47(44.4) | 7(46.7) | 1.23 (0.26, 5.66) 0.789 | 1.49 (0.18, 12.42) 0.711 | |
| Post-secondary | 4(3.8) | 0(0.0) | 0.87(0.830) | 0.86 (0.33, 21.36) 0.930 | 1.10 (0.02, 63.18) 0.961 |
| <5 years | 57(53.7) | 2(13.3) | |||
| 5–10 years | 38(35.9) | 5(33.3) | 3.75 (0.69, 20.33) 0.930 | 1.74 (0.29,10.43) 0.543 | |
| > 10 years | 11(10.4) | 8(53.4) | 10.87 (0.72,165.07) 0.085 | ||
| Apprenticeship | 61(57.6) | 9(60.0) | |||
| Barbering school | 6(5.6) | 0(0.0) | 0.50 (0.03,9.58) 0.644 | 0.80 (0.03,21.15) 0.894 | |
| On the job training | 29(27.4) | 2(13.3) | 0.55 (0.13,2.36) 0.420 | 0.99 (0.15,6.61) 0.995 | |
| Others | 10(9.4) | 4(26.7) | 5.24(0.155) | 2.77 (0.76,10.17) 0.124 | 0.46 (0.07,2.97) 0.412 |
| Urban | 86(81.3) | 7(46.7) | |||
| Rural | 20(18.7) | 8(53.3) | 3.17 (0.72,13.92) 0.127 | ||
| Poor | 47 (44.3) | 3 (20.0) | |||
| Good | 59 (55.7) | 12 (80.0) | 3.21 (0.073) | 3.19 (0.85,11.95) 0.086 | 1.07 (0.17,6.69) 0.940 |
| Poor | 42 (39.6) | 2 (13.3) | |||
| Good | 64 (60.4) | 13 (86.7) | 4.27 (0.92,19.87) 0.065 | 6.56 (0.94,45.63) 0.058 | |