Data analysis
SSI
Initially, we analyzed data sources separately. Survey and call log data were downloaded from the CommCare server and analyzed to calculate frequencies and proportions using Stata by SG and NS. FGD and SSI data from women and family members were analyzed by BT, SY, SB and AA. SY and BT separately read and made notes on three SSI transcripts (1 woman and 2 family members). They then discussed and generated codes which were used to code the remaining data in Excel. Each row represented an SSI or FGD and each column a code.One observation and one monitoring form were discussed collectively by BT, JM, NS, and SM to create codes under the headings 1) factors affecting implementation, and 2) factors affecting action. These codes were then used by BT and SY to analyze all observation and monitoring forms in excel.JM read data from counselors, health workers and field researchers and created codes under the topic guide headings ‘what makes a good VC’, ‘participation in the VC’, ‘factors affecting implementation’, and ‘areas for improvement’, and compared these findings with the data from women, husbands, and mothers-in-law through discussion with SY and BT.Four descriptive reports of each data source were written by BT, SY, and SG. To integrate analysis across the data sources these were read, discussed, and adjusted with JM and SB, and then the main interpretations relating to our research objectives were presented to the wider team for discussion and validation.