Data analysis

Data were collected electronically on tablets via the ODK Collect application and were analyzed using SAS version 9.4 (SAS Institute Inc., Cary, North Carolina, USA). For the open-ended questions in the surveys, recurring ideas were identified and grouped into themes that were then coded and used to calculate response frequencies. Open-ended questions addressed respondent suggestions for improving kit components and distribution and where CHWs receive their kits. For closed-ended questions, frequencies and means were calculated. Key analysis indicators were the number of CHWs who were understocked with malaria commodities (examined by province and season), as well as the number of CHWs who received complete kits monthly. Any differences identified between groups were evaluated for statistical significance via the Mantel–Haenszel Chi squared test for frequencies or the two sample T test for means. When comparing across three groups, such as between provinces, results were considered to be statistically significant if the comparison to both other groups was significant.