| Literature DB >> 32138700 |
Haimanot Abebe Adane1, Nega Assefa2, Bizatu Mengistie2, Asmamaw Demis3.
Abstract
BACKGROUND: Globally, male involvement has been identified as a priority target area to be strengthened in the prevention of mother to child transmission (PMTCT) of HIV. However, there are limited studies on husband involvement in the prevention of mother to child transmission of HIV in Ethiopia. Therefore, this study aimed to assess male involvement in the prevention of mother to child transmission of HIV and associated factors among males whose wives gave birth in the last six months before the survey in Enebsiesarmider district, Northwest Ethiopia.Entities:
Keywords: Male involvement; Northwest Ethiopia; Prevention of mother-to-child transmission of HIV
Mesh:
Year: 2020 PMID: 32138700 PMCID: PMC7059659 DOI: 10.1186/s12884-020-2837-y
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Sociodemographic characteristics of study participants in Enebsiesarmider District, Northwest, Ethiopia, 2018(n = 525)
| Variable | Frequency | Percent |
|---|---|---|
| Age (Year) | ||
| ≤ 25 | 14 | 2.7 |
| 26–35 | 266 | 50.6 |
| ≥ 36 | 245 | 46.7 |
| Residence | ||
| Urban | 59 | 11.2 |
| Rural | 466 | 88.8 |
| Education | ||
| Unable to read and write | 230 | 43.8 |
| Able to read and write | 109 | 20.1 |
| Grade 1–8 | 64 | 12.8 |
| Grade 9–12 | 96 | 18.3 |
| College and above | 26 | 5.0 |
| Occupation | ||
| Farmer | 454 | 86.5 |
| Merchant | 31 | 5.9 |
| Government Employee | 21 | 4.0 |
| Private Employee | 8 | 1.5 |
| Daily Laborer | 11 | 2.1 |
| Family wealth index | ||
| 1st Quintile | 152 | 29.9 |
| 2nd Quintile | 200 | 38.1 |
| 3rd quintile | 173 | 32.0 |
Fig. 1PMTCT and ANC knowledge among respondents, in Enebsiesarmider District, East Gojjam Zone, Ethiopia, 2018(n = 525)
Factors associated with male involvement in PMTCT of HIV among male partners (crude and adjusted OR) in Enebsiesarmider District, Northwest Ethiopia, 2018 (n = 525)
| Variables | Involved in PMTCT | COR (95%) | AOR (95%) | |
|---|---|---|---|---|
| Yes (%) | No (%) | |||
| Educational status | ||||
| No formal education | 60 (17.7) | 279 (82.3) | 1.00 | 1.00 |
| Primary education | 22 (34.4) | 42 (65.6) | 2.44 (1.36–4.38) | |
| Secondary education and above | 55 (45.1) | 67 (54.9) | 3.82 (2.43–6.00) | |
| Residences | ||||
| Urban | 24 (40.7) | 35 (59.3) | 2.14 (1.22–3.75) | 1.75 (0.84–3.64) |
| Rural | 113 (24.2) | 353 (75.8) | 1.00 | 1.00 |
| Wife place of delivery | ||||
| Institution | 89 (32.2) | 187 (67.8) | 1.99 (1.61–3.68) | 1.48 (0.93–2.37) |
| Home | 48 (19.3) | 201 (80.7) | 1.00 | 1.00 |
| PMTCT knowledge | ||||
| Good | 99 (40.4) | 146 (59.6) | 4.32 (2.82–6.62) | |
| Poor | 38 (27.7) | 242 (86.4) | 1.00 | 1.00 |
| ANC knowledge | ||||
| Good | 76 (41.1) | 109 (58.9) | 3.19 (2.13–4.77) | |
| Poor | 61 (17.9) | 279 (82.1) | 1.00 | 1.00 |
| Go with a spouse for VCT | ||||
| Yes | 18 (34.0) | 35 (66.0) | 1.53 (0.83–2.79) | 1.96 (0.86–4.48) |
| No | 119 (25.2) | 353 (74.8) | 1.00 | 1.00 |
| Know HIV serostatus | ||||
| Yes | 95 (28.9) | 234 (71.1) | 1.49 (0.98–2.26) | 1.29 (0.86–4.50) |
| No | 42 (21.4) | 154 (78.6) | 1.00 | 1.00 |
| Cultural | ||||
| Low | 89 (39.9) | 134 (60.1) | 3.51 (2.24–5.29) | |
| High | 48 (15.9) | 254 (84.1) | 1.00 | 1.00 |
| Health system | ||||
| Low | 101 (35.9) | 180 (64.1) | 3.24 (2.11–4.98) | |
| High | 36 (14.8) | 208 (85.2) | 1.00 | 1.00 |
Significant at *P = 0.032, **P = 0.001, ***P = 0.000, ****P = 0.003, *****P = 0.002, ******P = 0.002, 1.00 = constant