| Literature DB >> 27036554 |
Maria Romay-Barja1,2, Jorge Cano3, Policarpo Ncogo4, Gloria Nseng5, Maria A Santana-Morales6,7, Basilio Valladares7, Matilde Riloha5, Agustin Benito8,6.
Abstract
BACKGROUND: Malaria remains a major cause of morbidity and mortality in children under 5 years of age in Equatorial Guinea. Early appropriate treatment can reduce progression of the illness to severe stages, thus reducing of mortality, morbidity and onward transmission. The factors that contribute to malaria treatment delay have not been studied previously in Equatorial Guinea. The objective of this study was to assess the determinants of delay in seeking malaria treatment for children in the Bata district, in mainland Equatorial Guinea.Entities:
Keywords: Bata district; Care-seeking behaviour; Delay; Equatorial Guinea; Malaria; Treatment
Mesh:
Year: 2016 PMID: 27036554 PMCID: PMC4818441 DOI: 10.1186/s12936-016-1239-0
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Map of public and private health facilities at Bata District, Equatorial Guinea. Inset maps shows details of the shortest route between communities and nearest health facilities, corresponding map A to urban communities (Bata quarters) and B, C and D to rural communities
Characteristics of children, their malaria episode and their households according to the delay in seeking care outside home
| Children characteristics | Delay | p value* | |||
|---|---|---|---|---|---|
| ≤24 h | >24 h | ||||
| n | % | n | % | ||
| Age group (years) | |||||
| <1 | 28 | 52.8 | 25 | 47.2 | |
| 1–5 | 105 | 53.0 | 93 | 47.0 | |
| >5 | 46 | 54.1 | 39 | 45.9 | 0.984 |
| Sex of child | |||||
| Female | 92 | 59.0 | 64 | 41.0 | |
| Male | 87 | 48.3 | 93 | 51.7 | 0.051 |
| Area | |||||
| Urban | 130 | 59.4 | 89 | 40.6 | |
| Rural | 49 | 41.9 | 68 | 58.1 | 0.002 |
| Relationship of child to household head | |||||
| Child/grandchild | 157 | 54.5 | 131 | 45.5 | |
| Other | 22 | 45.8 | 26 | 54.2 | 0.264 |
| Signs and symptoms | |||||
| Fever (yes) | 149 | 51.6 | 140 | 48.4 | 0.118 |
| Weakness (yes) | 65 | 60.2 | 43 | 39.8 | 0.081 |
| Convulsions (yes) | 25 | 65.8 | 13 | 34.2 | 0.101 |
| Nausea (yes) | 39 | 55.7 | 31 | 44.3 | 0.646 |
| Headache (yes) | 12 | 41.4 | 17 | 58.6 | 0.179 |
| Treated at home first | |||||
| No | 73 | 67.6 | 35 | 32.4 | |
| Yes | 106 | 46.5 | 122 | 53.5 | <0.001 |
| Who took the child for treatment? | |||||
| Father | 6 | 42.9 | 8 | 57.1 | |
| Mother | 138 | 52.9 | 123 | 47.1 | |
| Grandmother | 24 | 60.0 | 16 | 40.0 | |
| Father and mother | 6 | 75.0 | 2 | 25.0 | |
| Other | 5 | 38.5 | 8 | 61.5 | 0.404 |
| Children in the household | |||||
| Under 1 year old (yes) | 123 | 51.0 | 118 | 49.0 | 0.191 |
| From 1 to 15 years old (yes) | 176 | 53.7 | 152 | 46.3 | 0.365 |
| Household characteristics | |||||
| Sex of the head of household | |||||
| Female | 66 | 55.9 | 52 | 44.1 | |
| Male | 113 | 51.8 | 105 | 48.2 | 0.472 |
| Main source of money | |||||
| Agriculture | 13 | 48.2 | 14 | 51.9 | |
| Fishing | 2 | 50.0 | 2 | 50.0 | |
| Hunting | 2 | 100.0 | 0 | 0.0 | |
| Employee | 94 | 53.4 | 82 | 46.6 | |
| Business | 57 | 50.9 | 55 | 49.1 | |
| Other | 11 | 73.3 | 4 | 26.7 | 0.449 |
| Wealth quintiles | |||||
| Poorest | 26 | 37.1 | 44 | 62.9 | |
| Second | 32 | 49.2 | 33 | 50.8 | |
| Middle | 38 | 53.5 | 33 | 46.5 | |
| Fourth | 37 | 58.7 | 26 | 41.3 | |
| Richest | 46 | 68.7 | 21 | 31.3 | 0.005 |
| Distance to nearest health facility | |||||
| ≤3km | 129 | 60.6 | 84 | 39.4 | |
| >3km | 50 | 40.7 | 73 | 59.4 | < 0.001 |
| Caregiver characteristics | |||||
| Age | |||||
| 15–34 years | 102 | 51.8 | 95 | 48.2 | |
| 35 years or older | 77 | 55.4 | 62 | 44.6 | 0.513 |
| Sex | |||||
| Female | 174 | 52.6 | 157 | 47.4 | |
| Male | 5 | 100.0 | 0 | 0.0 | 0.035 |
| Ethnicity | |||||
| Fang | 150 | 52.5 | 136 | 47.6 | |
| Combe | 17 | 56.7 | 13 | 43.3 | |
| Bisio | 3 | 100.0 | 0 | 0.0 | |
| Ndowe | 9 | 52.9 | 8 | 47.1 | 0.415 |
| Education | |||||
| Primary school or less | 69 | 48.9 | 72 | 51.1 | |
| Secondary school and+ | 110 | 56.4 | 85 | 43.6 | 0.175 |
| Marital status | |||||
| Widow | 6 | 50.0 | 6 | 50.0 | |
| Married | 105 | 52.2 | 96 | 47.8 | |
| Single | 67 | 55.8 | 53 | 44.2 | |
| Divorced | 1 | 33.3 | 2 | 66.7 | 0.817 |
| Relationship of caregiver to the household head | |||||
| Wife | 75 | 48.7 | 79 | 51.3 | |
| Mother | 2 | 66.7 | 1 | 33.3 | |
| Self | 41 | 57.8 | 30 | 42.3 | |
| Daughter | 42 | 59.2 | 29 | 40.9 | |
| Sister | 12 | 54.6 | 10 | 45.5 | |
| Others | 7 | 46.7 | 8 | 53.3 | 0.601 |
| Considered malaria to be a problem | |||||
| No | 27 | 45.0 | 33 | 55.0 | |
| Yes | 152 | 55.1 | 124 | 44.9 | 0.156 |
| Knew mosquitos cause malaria | |||||
| No | 66 | 47.1 | 74 | 52.9 | |
| Yes | 113 | 57.7 | 83 | 42.4 | 0.057 |
| Someone in the house has died of malaria before | |||||
| No | 168 | 54.37 | 141 | 45.63 | |
| Yes | 11 | 40.74 | 16 | 59.26 | 0.173 |
* χ2 test
Fig. 2The time elapsed between malaria symptoms onset and seeking treatment for children in Bata district, Equatorial Guinea
Fig. 3The delay between malaria symptoms onset and seeking treatment for children in the Bata district, according to household wealth (divided into quintiles)
Factors associated with delay in seeking treatment out of home determined by multiple logistic regression
| Unadjusted OR (95 % CI) | Adjusted OR (95 % CI) | |
|---|---|---|
| Sex of child | ||
| Female | ||
| Male | 1.54 (0.99–2.39) | 1.43 (0.88–2.33) |
| Area | ||
| Urban | ||
| Rural | 2.03 (1.23–3.34) | 0.83 (0.41–1.68) |
| Treated at home first | ||
| No | ||
| Yes | 2.40 (1.48–3.91) | 2.36 (1.45–3.83) |
| Wealth quintile* | ||
| Poorest | ||
| Second | 0.61 (0.23–1.26) | 0.63 (0.30–1.29) |
| Middle | 0.51 (0.24–1.11) | 0.59 (0.27–1.31) |
| Fourth | 0.42 (0.20–0.88) | 0.52 (0.23–1.15) |
| Richest | 0.27 (0.15–0.48) | 0.37 (0.19–0.72) |
| Distance to nearest health facility | ||
| ≤3km | ||
| >3km | 2.24 (1.38–3.65) | 1.75 (0.88–3.47) |
| Knew mosquitos cause malaria | ||
| No | ||
| Yes | 0.66 (0.42–1.01) | 0.77 (0.48–1.22) |
* p value <0.0001 for the F test for trend