Statistical analysis
malaria, fever
REGRESSION, SECONDARY, MALARIA
A mixed-effects logistic regression analysis was used to evaluate the primary outcome measures on the uptake of testing and investigate risk factors that might have contributed to the outcomes of the intervention reported previously.For the primary outcome measures to evaluate the uptake of testing overall and from a CHW, two logistic models were generated. The first model included all individuals who reported fever in the last 4 weeks (ie, all eligible participants enrolled in the survey). The second model includes a subset of those in the first model, specifically those who were tested at any source. For both models, we accounted for clustering within the CU in the univariate analysis and we accounted for clustering, and individual-level covariates like respondent’s age, gender, level of education, occupation, socioeconomic status, geographical proximity to healthcare provider, the time they waited after falling ill before they sought a test, the level of knowledge and opinions about malaria and malaria diagnosis in the multivariate analysis.The logistic regression model is as shown below:
where Fixed effects are measured using an OR and included the 95% CIs. Independent categorical variables were screened for multicollinearity with a Cramér’s V statistic. In case two variables showed signs of correlation (V >0.7), the variable least associated with the response variable was omitted.For the secondary outcome measure of CHW testing, a mixed-effects linear regression model was fitted to account for clustering at the CU. This model investigates the outcome of mean RDTs performed each month by the specific CHW and includes potential CHW-level covariates like CHW age, marital status, education level, number of households for which they were responsible, previous training on malaria case management or mRDTs, years of experience as a CHW and formal employment status.The linear regression model is as shown below:
where All statistical analyses were done in STATA V.15 (StataCorp).