| Literature DB >> 27147109 |
Soter Ameh1,2, Eme Owoaje3, Angela Oyo-Ita4, Caroline W Kabiru5, Obaji E O Akpet4, Aniekan Etokidem4, Okokon Enembe4, Nnette Ekpenyong4.
Abstract
BACKGROUND: Malaria in pregnancy (MIP) has serious consequences for the woman, unborn child and newborn. The use of sulfadoxine-pyrimethamine for the intermittent preventive treatment of malaria in pregnancy (SP-IPTp) is low in malaria endemic areas, including some regions of Nigeria. However, little is known about pregnant women's compliance with the SP-IPTp national guidelines in primary health care (PHC) facilities in the south-south region of Nigeria. The aim of this study was to identify the barriers to and determinants of the use of SP-IPTp among pregnant women attending ANC in PHC facilities in Cross River State, south-south region of Nigeria.Entities:
Keywords: Barriers; Cross River State; Determinants; Intermittent preventive treatment of malaria in pregnancy; Nigeria; Sulfadoxine-pyrimethamine; Use
Mesh:
Substances:
Year: 2016 PMID: 27147109 PMCID: PMC4857401 DOI: 10.1186/s12884-016-0883-2
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Socio-demographic characteristics of the respondents attending ANC in Cross River State
| Variable | n (%) (95 % CI) |
|---|---|
| Age (years) | |
| 15–24 | 187 (46.8) (42.8–51.8) |
| 25–34 | 183 (45.7) (40.8–50.8) |
| 35–49 | 30 (7.5) (5.1–10.5) |
| Mean (SD) (95 % CI) | 25.2 (5.7) (24.7–25.8) |
| Education | |
| None | 28 (7.0) (4.7–10.0) |
| Primary | 87 (21.7) (17.8–26.1) |
| Secondary | 226 (56.5) (51.5–61.4) |
| Tertiary | 59 (14.8) (11.4–18.6) |
| Religion | |
| Christianity | 399 (99.7) (98.6–99.9) |
| Islam | 1 (0.3) (0.1–1.4) |
| Marital status | |
| Single | 79 (19.7) (16.0–24.0) |
| Married | 310 (77.5) (73.1–81.5) |
| Othersa | 11 (2.8) (1.4–4.9) |
| Ethnicity | |
| Efik | 119 (29.8) (25.3–34.5) |
| Ibibio | 145 (36.2) (31.5–41.2) |
| Anang | 83 (20.8) (16.9–25.1) |
| Othersb | 53 (13.2) (10.1–17.0) |
| Occupation | |
| None | 78 (19.5) (15.3–23.7) |
| Farming | 53 (13.2) (10.1–17.0) |
| Trading | 158 (39.5) (34.7–44.5) |
| Fishing | 8 (2.0) (0.9–3.9) |
| Civil service | 66 (16.5) (13.0–20.5) |
| Othersc | 37 (9.3) (6.6–12.5 ) |
| Socio-economic status | |
| Lowest | 67 (16.8) (13.7–20.1) |
| Middle low | 91 (22.7) (19.3–26.5) |
| Middle | 82 (20.5) (17.2–24.1) |
| Middle high | 80 (20.0) (16.8–23.6) |
| Highest | 80 (20.0) (16.8–23.6) |
aOthers included divorced, separated and widowed
bOthers included other ethnic groups other than Efik, Ibiobio and Anang
cOthers included students and artisans
Obstetric characteristics of the respondents attending ANC in Cross River State
| Variable | n (%) (95 % CI) |
|---|---|
| Gestational age at registration for ANC (months) | |
| 1–3 (First trimester) | 32 (8.0) (5.5–11.1) |
| 4–6 (Second trimester) | 319 (79.8) (75.5–83.6) |
| 7–9 (Third trimester) | 49 (12.2) (9.2–15.9) |
| Mean gestational age (SD) (95 % CI) | 5 (1.2) (4.9–5.1) |
| Gestational age at time of interview (months) | |
| 4–6 (Second trimester) | 249 (62.2) (57.3–67.1) |
| 7–9 (Third trimester) | 151 (37.8) (33.0–42.7) |
| Mean gestational age (SD) (95 % CI) | 6 (1.3) (5.9–6.3) |
| Total number of pregnancies | |
| 1(Primigravid women) | 166 (41.5) (36.6–46.5) |
| 2–4 | 178 (44.5) (39.6–49.5) |
| ≥ 5 | 56 (14.0) (10.8–17.8) |
| Total number of children | |
| 0 (Primigravid women) | 166 (41.5) (36.6–46.5) |
| 1–4 | 221 (55.2) (50.2–60.1) |
| ≥ 5 | 13 (3.3) (1.7–5.5) |
| Total number of miscarriages (n–234) | |
| 0 | 158 (67.5) (61.1–73.5) |
| 1 | 64 (27.4) (21.7–33.5) |
| 2 | 12 (5.1) (2.7–8.8) |
Knowledge of malaria prevention in pregnancy among respondents attending ANC in Cross River State
| Variable | n (%) (95 % CI) |
|---|---|
| Mosquito bed nets | |
| Yes | 248 (62.0) (57.0–66.8) |
| No | 152 (38.0) (33.2–43.0) |
| Insecticide-treated mosquito bed nets | |
| Yes | 298 (74.5) (70.0–78.7) |
| No | 102 (25.5) (21.3–30.1) |
| SP | |
| Yes | 256 (64.0) (59.1–68.7) |
| No | 144 (36.0) (31.3–40.9) |
| Correct dose of SP ( | |
| Yes | 220 (85.9) (81.1–90.0) |
| No | 36 (14.1) (10.1–18.9) |
| Gestational age for taking SP ( | |
| First trimester | 44 (17.2) (12.8–22.4) |
| Second trimester | 97 (37.9) (31.9–44.1) |
| Third trimester | 22 (8.6) (5.5–12.7) |
| Don’t know | 93 (36.3) (30.4–42.5) |
Malaria prevention practices in index pregnancy among respondents attending ANC in Cross River State
| Variable | n (%) (95 % CI) |
|---|---|
| Use of mosquito bed nets | |
| Yes | 70 (17.5) (13.9–21.6) |
| No | 330 (82.5) (78.4–86.1) |
| Use of ITNs | |
| Yes | 34 (8.5) (6.0–11.7) |
| No | 366 (91.5) (88.3–94.0) |
| Use of SP | |
| Yes | 165 (41.2) (36.4–46.2) |
| No | 235 (58.8) (53.8–63.6) |
| Doses of SP received ( | |
| One | 165 (41.2) (36.4–46.2) |
| Two | 5 (1.3) (0.4–2.9) |
| Use of other drugs for preventing MIP | |
| Chloroquine® | 25 (6.3) (4.1–9.1) |
| Antibiotics | 8 (2.0) (0.9–3.9) |
Barriers to SP-IPTp use among respondents attending ANC in Cross River State
| Variable | n (%) (95 % CI) |
|---|---|
| Lack of autonomy of decision-making ( | |
| Yes | 330 (82.5) (78.4–86.1) |
| No | 70 (17.5) (13.9–21.6) |
| Source of SP among those who used it ( | |
| ANC clinic | 110 (66.7) (58.9–73.8) |
| Drug vendor | 55 (33.3) (26.2–41.1) |
| Reason for buying SP from a drug vendor ( | |
| Stock-out of SP in the ANC clinic | 55 (100) (0.94–1.00) |
| Directly observed treatment during ANC visit ( | |
| Yes | 36 (32.7) (24.1–42.3) |
| No | 74 (67.3) (57.7–75.9) |
Determinants of IPTp use among pregnant women attending ANC in Cross River State
| Variable | Use of SP for the intermittent preventive treatment of malaria ( | |||
|---|---|---|---|---|
| Yes | No | Unadjusted OR | Adjusted OR | |
| n (%) | n (%) | (80 % CI) | (95 % CI) | |
| 165 (41.2) | 235 (58.8) | |||
| Age group (years) | ||||
| 15–24 | 69 (41.8) | 118 (50.2) | 1 | a |
| 25–34 | 81 (49.1) | 102 (43.4) | 1.36 (0.52–3.56) | |
| 35–49 | 15 (9.1) | 15 (6.4) | 1.71 (0.37–7.88) | |
| Education | ||||
| None | 7 (4.2) | 21 (8.9) | 1 | 1 |
| Primary | 31 (18.8) | 56 (23.8) | 1.66 (1.00–2.74) | 1.72 (0.05–65.40) |
| Secondary | 97 (58.8) | 129 (54.9) | 2.26 (0.62–8.22) | 1.20 (0.02–61.50) |
| Tertiary | 30 (18.2) | 29 (12.4) | 3.10 (2.11–4.57) | 1.55 (0.03–82.20) |
| Occupation | ||||
| None | 16 (9.7) | 62 (26.4) | 1 | 1 |
| Civil service | 37 (22.4) | 29 (12.3) | 0.40 (0.08–1.98) | 0.75 (0.01–11.87) |
| Farming | 18 (10.9) | 35 (14.9) | 0.78 (0.24–2.59) | 2.72 (0.73–10.23) |
| Fishing | 4 (2.4) | 4 (1.7) | 0.20 (0.04–1.17) | 0.29 (0.06–13.46) |
| Trading | 76 (46.1) | 82 (34.9) | 0.48 (0.07–3.42) | 0.57 (0.01–16.73) |
| Other | 14 (8.5) | 23 (9.8) | 0.73 (0.59–0.89) | 0.88 (0.26–2.99) |
| Socio-economic status | ||||
| Lowest | 29 (17.6) | 38 (16.2) | 1 | 1 |
| Middle low | 43 (26.1) | 48 (20.4) | 1.91 (1.21–3.01) | 2.19 (0.06–78.02) |
| Middle | 33 (20.0) | 49 (20.9) | 1.57 (0.94–2.63) | 0.99 (0.10–9.91) |
| Middle high | 36 (21.8) | 44 (18.7) | 2.09 (2.05–2.13) | 2.82 (0.19–42.87) |
| Highest | 24 (14.5) | 56 (23.8) | 1.78 (1.42–2.24) | 1.24 (0.04–35.81) |
| First pregnancy | ||||
| No | 104 (63.0) | 130 (55.3) | 1 | a |
| Yes | 61 (37.0) | 105 (44.7) | 0.73 (0.32–1.65) | |
| Number of pregnancies | ||||
| 1 | 61 (37.0) | 105 (44.7) | 1 | a |
| 2–4 | 79 (47.9) | 99 (42.1) | 1.37 (0.61–3.08) | |
| ≥ 5 | 25 (15.1) | 31 (13.2) | 1.39 (0.58–3.32) | |
| Gestational age at registration for ANC | ||||
| First trimester | 16 (9.7) | 16 (6.8) | 1 | a |
| Second trimester | 132 (80.0) | 187 (79.6) | 0.71 (0.27–1.86) | |
| Third trimester | 17 (10.3) | 32 (13.6) | 0.53 (0.21–1.37) | |
| Knowledge of bed nets | ||||
| No | 101 (61.2) | 147 (62.6) | 1 | a |
| Yes | 64 (38.8) | 88 (37.4) | 1.06 (0.45–2.48) | |
| Knowledge of ITNs | ||||
| No | 26 (15.8) | 76 (32.3) | 1 | 1 |
| Yes | 139 (84.2) | 159 (67.7) | 2.56 (2.28–2.87) | 2.13 (1.70–3.73) |
| Knowledge of SP-IPTp | ||||
| No | 9 (5.4) | 135 (57.5) | 1 | 1 |
| Yes | 156 (94.6) | 100 (42.5) | 23.4 (5.1–47.3) | 22.13 (8.10–43.20) |
| Use of bed nets | ||||
| No | 133 (80.6) | 197 (83.8) | 1 | a |
| Yes | 32 (19.4) | 38 (16.2) | 1.25 (0.79–1.96) | |
| Use of ITNs | ||||
| No | 144 (87.3) | 222 (94.5) | 1 | 1 |
| Yes | 21 (12.7) | 13 (5.5) | 2.49 (1.83–3.39) | 2.38 (1.24–12.31) |
aNot included in the final model due to non-significance in the univariate model
Odds ratio were adjusted in the multivariate model for education, occupation, socio-economic status, knowledge of ITNs, knowledge of SP-IPTp and use of ITNs