Quantitative data
REGRESSION
The quantitative data involved the data obtained from house-to-house registration; percentage of children immunized and percentage of defaulter children returning for immunization services.The effectiveness of using CHWs to generate reliable population data (denominator) was measured by comparing the house-to-house population to the projected district population.Using a deviation factor (%), we assessed the difference between house-to-house registration population and the district population estimates for the year 2020 which is availed by the Uganda Bureau of Statistics (UBOS) population estimates. UBOS conducted a census in 2014, however, each year national and district population data is estimated through projections. Data was analyzed at health facility level. Data analysis for variance of house-to-house population was performed in MS Excel 2013. Data verification was done to ascertain concordance between the reported and verified data. This was done using deviation factor (%) as follows:
A deviation factor of 0% implied concordance between the reported and verified data; a negative deviation factor reflects under-reporting while a positive deviation factor reflects over-reporting. Based on the guidelines which permit a variation of ± 10%, the data was categorized in three strata: (i) no variation (0≤5%) (ii) acceptable variation (5.1%-10%); (iii) excess variation (>10.1%) [A dashboard showing degree of accuracy of data using color codes based on verification factors was designed as follows: The immunization coverage for the different antigens based on the updated target population obtained through house-to-house registration in both the intervention and control arms was determined and compared. The coverage was measured by dividing the percentage of children vaccinated with the total updated target population.Primary analysis was conducted with the intention to treat analyses at the health facility level. A difference in difference regression model was fitted to the data using STATA version 17. The proportion of children that received the antigen under study was computed against the facility target population by month.Where The percentage of defaulter children returning after immunization was determined by calculating the number of defaulter children returning for immunization divided by the total of number of defaulter children identified during the 3 months of the study intervention.