Factors determining anti-malarial drug use in a peri-urban population from malaria holoendemic region of western kenya

Table 3 Demographic, socio-economic and environmental factors associated with patterns of use of anti-malarial drugs

	Dependent variables
	Drugs taken	Dosage of use	Duration of use
Independent variables
Age (A)	β = 0.113, P = 0.230	β = 0.006, P = 0.949	β = 0.179, P = 0.050
Gender (G)	β = 0.008, P = 0.872	β = 0.061, P = 0.235	β = 0.018, P = 0.722
Marital status (MS)	β = 0.101, P = 0.341	β = 0.115, P = 0.279	β = 0.105, P = 0.322
Household size (HHS)	β = 0.092, P = 0.049	β = 0.027, P = 0.606	β = 0.008, P = 0.873
Household head (HHH)	β = 0.019, P = 0.726	β = 0.011, P = 0.841	β = 0.093, P = 0.047
Education level (EL)	β = 0.018, P = 0.828	β = 0.132, P = 0.104	β = 0.057, P = 0.486
Household breadwinner (HHB)	β = 0.008, P = 0.883	β = 0.086, P = 0.113	β = 0.071, P = 0.188
Household income source (HIS)	β = 0.028, P = 0.597	β = 0.010, P = 0.846	β = 0.097, P = 0.050
Household monthly income (HHI)	β = 0.037, P = 0.486	β = 0.113, P = 0.034	β = 0.064, P = 0.233
Ability to read (AR)	β = 0.059, P = 0.268	β = 0.005, P = 0.926	β = 0.030, P = 0.570
Source of drug (SD)	β = 0.113, P = 0.036	β = 0.013,P = 0.005	β = 0.029, P = 0.596
Distance to source (DS)	β = 0.049, P = 0.373	β = 0.021, P = 698	β = 0.058, P = 0.293
Availability at source (AS)	β = 0.092, P = 0.046	β = 0.002, P = 965	β = 0.060, P = 0.252

Logistic regression analysis between the independent and dependant variables was used to identify variables associated with pattern of use of anti-malarial drugs, including demographic, socio-economic and environmental factors. P-values in bold were statistically significant at P ≤ 0.05. b = standard co-efficient. The result above shows that age, household size, source of drugs and availability of drugs at the source work together to influence types of anti-malarial that are taken in the households. Furthermore, household monthly income and source of drug work together to influence dosage of use; while age, household head and household income source work together to influence duration of use of these drugs.

ISSN: 1475-2875