| Literature DB >> 34238241 |
Osita U Ezenwosu1,2, Ijeoma U Itanyi3,4, Obiageli E Nnodu2,5, Amaka G Ogidi1, Fabian Mgbeahurike6, Echezona E Ezeanolue1,2.
Abstract
BACKGROUND: Haemoglobin genotype screening at prenatal care offers women an opportunity to be aware of their genotype, receive education on sickle cell disease (SCD) and may increase maternal demand for SCD newborn screening. In developed countries, most pregnant women who access prenatal care and deliver at the hospital receive haemoglobin genotype screening. In settings with low prenatal care attendance and low hospital deliveries, community-based screening may provide similar opportunity for pregnant women. We assessed the feasibility and acceptability of integrating haemoglobin genotype screening into an existing community-based HIV program.Entities:
Keywords: Awareness; Community-based; Genotype; Screening; Sickle cell disease
Mesh:
Substances:
Year: 2021 PMID: 34238241 PMCID: PMC8268197 DOI: 10.1186/s12884-021-03974-4
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Sociodemographic characteristics of the pregnant women participants of HBI in Benue State, Nigeria
| Variables | |
|---|---|
| 30 | 8,145 (81.1) |
| 30 – 49 | 1,911 (18.8) |
| ≥ 50 | 11 (0.1) |
| Single | 24 (0.2) |
| Married | 10,056 (98.9) |
| Widowed | 67 (0.7) |
| Separated | 15 (0.1) |
| Divorced | 5 (0.0) |
| Unemployed | 253 (2.53) |
| Civil servants | 181 (1.8) |
| Farmers | 8,835 (86.9) |
| Traders | 632 (6.2) |
| Others | 266 (2.6) |
| No formal education | 1,806 (17.8) |
| Primary | 2,990 (29.4) |
| Secondary | 4,720 (46.4) |
| Tertiary | 651 (6.4) |
| 0 – 20,000 | 9,383 (92.3) |
| > 20,000 – 50,000 | 607 (6.0) |
| > 50,000 – 100,000 | 130 (1.3) |
| > 100,000 | 47 (0.5) |
| 0 – 5 (Walk) | 7,563 (74.4) |
| 6 – 10 (Bike) | 2,269 (22.3) |
| 11 – 15 (Short ride) | 234 (2.3) |
| > 15 (Long ride) | 101 (1.0) |
Prevalence of different genotypes among pregnant women participants of HBI in Benue State, Nigeria
| Genotype | Frequency | (%) |
|---|---|---|
| AA | 8,252 | (81.2%) |
| AC | 3 | (.0%) |
| AS | 1,906 | (18.7%) |
| SC | 1 | (.0%) |
| SS | 5 | (0.1%) |
| Total | 10,167 | (100%) |
Awareness of sickle haemoglobin status by pregnant women participants of HBI
| Genotype Awareness | Genotype Results | ||||||
|---|---|---|---|---|---|---|---|
| n | % | AA | AS | SS | AC | SC | |
| Aware | |||||||
| No | 9,863 | 97.0 | |||||
| Yes | 304 | 3.0 | |||||
| If Yes, Perceived genotype | |||||||
| AA | 238 | 23 | 0 | 0 | 0 | ||
| AS | 44 | 11 | 0 | 0 | 0 | ||
| SS | 19 | 13 | 6 | 0 | 0 | 0 | |
| AC | 2 | 2 | 0 | 0 | 0 | 0 | |
| SC | 1 | 1 | 0 | 0 | 0 | 0 | |
Sociodemographic characteristics associated with awareness of sickle haemoglobin status among pregnant women participants
| Genotype Awareness | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| < 30 | 200 | (2.4) | 8,045 | (97.6) | 49.01 | 2 | 0.000 | ||||
| 30 – 49 | 104 | (5.4) | 1,807 | (94.6) | |||||||
| ≥ 50 | 0 | (0.0) | 11 | (100) | |||||||
| Single | 0 | (0.0) | 24 | (100) | 1.893 | 4 | 0.756 | ||||
| Married | 303 | (3.0) | 9,753 | (97.0) | |||||||
| Widowed | 1 | (1.3) | 66 | (98.7) | |||||||
| Separated | 0 | (0.0) | 15 | (100) | |||||||
| Divorced | 0 | (0.0) | 5 | (100) | |||||||
| Unemployed | 44 | (17.4) | 209 | (82.6) | 790.94 | 4 | 0.000 | ||||
| Civil servants | 41 | (22.7) | 140 | (85.3) | |||||||
| Farmers | 108 | (1.2) | 8,727 | (98.8) | |||||||
| Traders | 75 | (11.9) | 557 | (88.1) | |||||||
| Others | 36 | (13.5) | 230 | (86.5) | |||||||
| No formal education | 16 | (0.9) | 1,790 | (99.1) | 621.48 | 3 | 0.000 | ||||
| Primary | 33 | (1.1) | 2,957 | (98.9) | |||||||
| Secondary | 133 | (2.8) | 4,587 | (97.2) | |||||||
| Tertiary | 122 | (18.7) 529 | (81.3) | ||||||||
| 0 – 20,000 | 251 | (2.7) | 9,132 | (97.3) | 65.06 | 3 | 0.000 | ||||
| 20 – 50,000 | 35 | (5.8) | 572 | (94.2) | |||||||
| 50 – 100,000 | 17 | (13.1) | 113 | (86.9) | |||||||
| > 100,000 | 1 | (2.1) | 46 | (97.9) | |||||||
| Yes | 246 | (4.4) | 5359 | (95.6) | 84.24 | 2 | 0.000 | ||||
| No | 58 | (1.3) | 4503 | (98.7) | |||||||
| 0 – 4 | 264 | (3.2) | 8096 | (96.8) | 6.84* | 2 | 0.033 | ||||
| 5 – 8 | 39 | (2.3) | 1633 | (97.7) | |||||||
| 9- 13 | 1 | (0.7) | 134 | (99.3) | |||||||
| 0 – 5 (Walk) | 214 | (2.8) | 7,349 | (97.2) | 18.04 | 3 | 0.000 | ||||
| 6 – 10 (Bike) | 71 | (3.1) | 2,198 | (96.9) | |||||||
| 11 – 15 (Short ride) | 9 | (3.8) | 225 | (96.2) | |||||||
| > 15 (Long ride) | 10 | (9.9) | 91 | (90.1) | *Yates correction | ||||||
Predictors of sickle haemoglobin status awareness among pregnant women participants in Benue State, Nigeria
| Variables | Adjusted Odds Ratio | |||
|---|---|---|---|---|
| AOR | 95% | CI | ||
| < 30 | 1 | |||
| 30–49 | 1.821 | < 0.001 | 1.359 | 2.439 |
| ≥ 50 | 0.000 | 0.999 | 0.000 | |
| Unemployed | 1 | |||
| Civil Servants | 1.069 | 0.798 | 0.640 | 1.787 |
| Farmers | 0.171 | < 0.001 | 0.110 | 0.268 |
| Traders | 1.249 | 0.339 | 0.792 | 1.971 |
| Others | 1.136 | 0.622 | 0.684 | 1.897 |
| No Education | 1 | |||
| Primary | 1.128 | 0.697 | 0.615 | 2.068 |
| Secondary | 1.764 | 0.042 | 1.020 | 3.050 |
| Tertiary | 5.472 | < 0.001 | 2.995 | 9.996 |
| 0–20,000 | 1 | |||
| > 20–50,000 | 0.987 | 0.949 | 0.659 | 1.478 |
| > 50–100,000 | 1.703 | 0.097 | 0.908 | 3.196 |
| > 100,000 | 0.397 | 0.378 | 0.7051 | 3.106 |
| 0–4 | 1 | |||
| 5–8 | 0.855 | 0.437 | 0.575 | 1.270 |
| 9–13 | 0.358 | 0.317 | 0.048 | 2.676 |
| No | 1 | |||
| Yes | 2.084 | < 0.001 | 1.535 | 2.829 |
| 0–5 | 1 | |||
| 6–10 | 1.199 | 0.225 | 0.894 | 1.608 |
| 11–15 | 2.147 | 0.043 | 1.024 | 4.502 |
| > 15 | 3.935 | 0.001 | 1.758 | 8.808 |