| Literature DB >> 28671987 |
Sanni Yaya1, Ghose Bishwajit2, Michael Ekholuenetale3, Vaibhav Shah4, Bernard Kadio4, Ogochukwu Udenigwe1.
Abstract
BACKGROUND: Malaria remains a major public health issue in most southern African countries as the disease remains hyper endemic. Burkina Faso continues to face challenges in the treatment of malaria, as the utilization of preventive measures remains low on a national scale. While it has been acknowledged that understanding women's health-seeking behaviours, perception of malaria and its preventive measures will aid in the control of malaria, there is paucity of information on Knowledge, Attitudes and Practices among women in the reproductive age of 15-49 years in Burkina Faso. This study investigated women's knowledge of malaria, attitudes towards malaria, and practices of malaria control in order to create a synergy between community efforts and governmental/non-governmental malaria control interventions in Burkina Faso.Entities:
Mesh:
Year: 2017 PMID: 28671987 PMCID: PMC5495422 DOI: 10.1371/journal.pone.0180508
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the women (Burkina Faso Malaria Indicator Survey 2014).
| Variable | Total | Urban | Rural | P | |
|---|---|---|---|---|---|
| n = 8,111 | % | 20.6 | 79.4 | 0.128 | |
| 15–19 | 1714 | 21.1 | 22.1 | 20.9 | |
| 20–24 | 1411 | 17.4 | 15.8 | 17.8 | |
| 25–29 | 1417 | 17.5 | 16.4 | 17.7 | |
| 30–34 | 1197 | 14.8 | 14.1 | 14.9 | |
| 35–39 | 1065 | 13.1 | 14.0 | 12.9 | |
| 40–44 | 738 | 9.1 | 9.9 | 8.9 | |
| 45–49 | 569 | 7.0 | 7.7 | 6.8 | |
| <0.001 | |||||
| Islam | 5212 | 64.3 | 65.1 | 64.0 | |
| Christianity | 2222 | 27.4 | 33.0 | 25.9 | |
| Other | 677 | 8.3 | 1.9 | 10.0 | |
| 0.069 | |||||
| No education | 5781 | 71.3 | 69.0 | 71.9 | |
| Primary | 1109 | 13.7 | 14.7 | 13.4 | |
| Secondary | 1154 | 14.2 | 15.2 | 14.0 | |
| Higher | 67 | 0.8 | 1.1 | 0.7 | |
| 0.017 | |||||
| Poorest | 1630 | 20.1 | 23.1 | 19.3 | |
| Poorer | 1678 | 20.7 | 19.8 | 20.9 | |
| Middle | 1767 | 21.8 | 21.1 | 22.0 | |
| Richer | 1734 | 21.4 | 21.0 | 21.5 | |
| Richest | 1302 | 16.1 | 15.0 | 16.3 | |
| 0.331 | |||||
| 6 | 3428 | 42.3 | 41.8 | 42.4 | |
| >6 | 4683 | 57.7 | 58.2 | 57.6 | |
| <0.001 | |||||
| Male | 7335 | 90.4 | 92.6 | 89.9 | |
| Female | 776 | 9.6 | 7.4 | 10.1 | |
| <0.001 | |||||
| No | 3066 | 37.9 | 28.8 | 40.1 | |
| Yes | 4944 | 61.1 | 71.2 | 59.9 | |
| <0.001 | |||||
| No | 6314 | 78.1 | 38.9 | 87.9 | |
| Yes | 1687 | 20.9 | 61.1 | 12.1 | |
| 0.005 | |||||
| No | 6977 | 86.0 | 88.0 | 85.5 | |
| Yes | 1134 | 14.0 | 12.0 | 14.5 | |
*significant at p<0.05; N.B. ANC was counted as ‘Yes’ when offered by health professionals e.g. doctor, nurse or community health worker.
Knowledge about best preventive measures, main causes and symptoms of malaria (n = 8111).
| Item | Rural (%) | Urban (%) | Total (%) |
|---|---|---|---|
| Sleep under a mosquito net | 97.2 | 98.0 | 97.4 |
| Sleep under a mosquito net impregnated with insecticide | 80.6 | 80.8 | 80.7 |
| Using insecticide spray, creams, lotions | 94.4 | 92.3 | 93.9 |
| Take preventive medications | 93.3 | 94.5 | 93.6 |
| Using insecticide coil | 95.4 | 96.0 | 95.5 |
| Decoction/plant juice/root to drink as a preventive | 93.9 | 94.8 | 94.1 |
| Making sure surroundings are clean | 80.4 | 77.5 | 79.8 |
| Using a coil smoke | 95.1 | 95.0 | 95.1 |
| Cover the body | 91.1 | 92.3 | 91.3 |
| Mosquito bite | 81.4 | 100.0 | 85.2 |
| Heavy oil consumption | 98.1 | 96.2 | 97.7 |
| Work-related fatigue | 96.5 | 97.4 | 96.7 |
| Insufficient sleeping | 98.9 | 99.9 | 99.1 |
| Direct exposure to sunlight | 92.8 | 97.3 | 93.8 |
| Consumption of mangoes/sweet fruits | 97.3 | 99.7 | 97.8 |
| Milk consumption | 99.0 | 99.9 | 99.1 |
| Dirty water | 92.8 | 54.0 | 84.9 |
| Fever | 76.7 | 100.0 | 81.5 |
| Vomiting, lack of appetite | 46.8 | 84.3 | 54.5 |
| High temperature with convulsion | 94.1 | 94.5 | 94.2 |
| High temperature with fainting | 97.1 | 99.0 | 97.5 |
| Persistent fever | 96.3 | 99.7 | 97.0 |
| Convulsion | 92.2 | 98.4 | 93.5 |
| Jaundice | 87.4 | 97.7 | 89.5 |
| Headache | 74.8 | 59.2 | 71.6 |
| Urine | 98.5 | 98.1 | 98.4 |
Prevalence of malaria prevention practices (Burkina Faso Malaria Indicator Survey 2014).
| Types of practices | Total | Urban (%) | Rural (%) | p |
|---|---|---|---|---|
| Type of mosquito bed net(s) child slept under last night(n = 4645) | 0.599 | |||
| No net | 20.4 | 20.9 | 20.4 | |
| Only treated nets | 77.9 | 77.8 | 77.9 | |
| Only untreated nets | 1.7 | 1.3 | 1.7 | |
| Fansidar taken for fever/cough (n = 2032) | 0.012 | |||
| No | 88.6 | 85.2 | 89.5 | |
| Yes | 11.4 | 14.8 | 10.5 | |
| Chloroquine taken for fever/cough(n = 2032) | 0.379 | |||
| No | 99.0 | 98.7 | 99.0 | |
| Yes | 1.0 | 1.3 | 1.0 | |
| Amodiaquine taken for fever/cough(n = 2032) | 0.397 | |||
| No | 78.4 | 79.0 | 78.2 | |
| Yes | 21.6 | 21.0 | 21.8 | |
| Quinine taken for fever/cough(n = 2032) | 0.309 | |||
| No | 98.8 | 98.5 | 98.9 | |
| Yes | 1.2 | 1.5 | 1.1 | |
| During this pregnancy did you take medicine to prevent malaria? (n = 5130) | 0.427 | |||
| No | 15.3 | 14.8 | 15.4 | |
| Yes | 84.7 | 85.2 | 84.6 |
*significant at p<0.001
Fig 1Level of accurate knowledge of malaria.
Socio-demographic and maternal characteristics associated with knowledge of malaria (n = 8111).
| Variable | Knowledge of malaria | Total | P-value | |
|---|---|---|---|---|
| Accurate | Poor | |||
| 15–19 | 1005(58.6) | 709(41.4) | 1714(100.0) | 0.175 |
| 20–24 | 794(56.3) | 617(43.7) | 1411(100.0) | |
| 25–29 | 760(53.6) | 657(46.4) | 1417(100.0) | |
| 30–34 | 672(56.1) | 525(43.9) | 1197(100.0) | |
| 35–39 | 596(56.0) | 469(44.0) | 1065(100.0) | |
| 40–44 | 418(56.6) | 320(43.4) | 738(100.0) | |
| 45–49 | 308(54.1) | 261(45.9) | 569(100.0) | |
| Urban | 1139(68.2) | 530(31.8) | 1669(100.0) | <0.001 |
| Rural | 3414(53.0) | 3028(47.0) | 6442(100.0) | |
| Islam | 3014(57.8) | 2198(42.2) | 5212(100.0) | 0.001 |
| Christianity | 1539(53.1) | 1360(46.9) | 2899(100.0) | |
| No formal education | 3161(54.7) | 2620(45.3) | 5781(100.0) | <0.001 |
| Primary | 635(57.3) | 474(42.7) | 1109(100.0) | |
| Secondary | 711(61.6) | 443(38.4) | 1154(100.0) | |
| Higher | 46(68.7) | 21(31.3) | 67(100.0) | |
| Poorest | 905(55.5) | 725(44.5) | 1630(100.0) | 0.914 |
| Poorer | 939(56.0) | 739(44.0) | 1678(100.0) | |
| Middle | 1009(57.1) | 758(42.9) | 1767(100.0) | |
| Richer | 972(56.1) | 762(43.9) | 1734(100.0) | |
| Richest | 728(55.9) | 574(44.1) | 1302(100.0) | |
| Male | 4099(55.9) | 3236(44.1) | 7335(100.0) | 0.162 |
| Female | 454(58.5) | 322(41.5) | 776(100.0) | |
| Yes | 3275(64.9) | 1770(35.1) | 5045(100.0) | <0.001 |
| No | 1278(41.7) | 1788(58.3) | 3066(100.0) | |
| Yes | 1214(67.6) | 583(32.4) | 1797(100.0) | <0.001 |
| No | 3339(52.9) | 2975(47.1) | 6314(100.0) | |
| Yes | 896(79.0) | 238(21.0) | 1134(100.0) | <0.001 |
| No | 3657(52.4) | 3320(47.6) | 6977(100.0) | |
| Antenatal visit | 1910(55.5) | 1533(44.5) | 3443(100.0) | 0.895 |
| Another facility visit | 10(52.6) | 9(47.4) | 19(100.0) | |
| Other source | 5(62.5) | 3(37.5) | 8(100.0) | |
*significant at p<0.05
Multivariable analysis of the factors associated with knowledge of malaria.
| Variable | Adjusted Odds Ratio(95%CI) | P-value |
|---|---|---|
| Urban(ref) | 1.00 | |
| Rural | 0.60(0.52–0.68) | <0.001 |
| Islam(ref) | 1.00 | |
| Christianity | 0.86(0.78–0.95) | 0.003 |
| No formal education(ref) | 1.00 | |
| Primary | 1.07(0.93–1.23) | 0.344 |
| Secondary | 1.29(1.13–1.48) | <0.001 |
| Higher | 1.93(1.13–3.32) | 0.017 |
| No(ref) | 1.00 | |
| Yes | 2.59(2.35–2.86) | <0.001 |
| No(ref) | 1.00 | |
| Yes | 1.22(1.07–1.39) | 0.003 |
| No (ref) | 1.00 | |
| Yes | 3.90(3.34–4.56) | <0.001 |
*significant at p<0.05; Pseudo R-squared = 0.08