Hello! I am having trouble figuring out how to best analyze data. First off, the data obtained was answers through surveys (and I know this isn't always the best way to get data, but we had a large population). The goal of this project was to figure out why childhood lead testing has declined in the jurisdiction I am serving. The intern before me initially sent out 919 postcards with a survey link to parents with children between 12-24 months in our area. A total of 86 parents filled out the survey that they were never asked or given the opportunity for their child to be tested. Therefore, the intern then created a LeadTool Kit intervention to give to pediatricians and families with helpful information and teaching materials. 1.5 years later, 1209 postcards with a survey link were again sent to parents with children between 12-24 months (not necessarily the same parents from the first group) to answer and determine if the Toolkit has helped increase awareness and provider practices of asking to test for childhood lead. A total of 103 parents answered (some saying they were asked and some saying they weren't). I am trying to analyze both sets of data to determine if the intervention/Toolkit in fact helped increase awareness and whether parents were asked about childhood testing in their PCP visit. What is the best way to do this? This was sort of a project that I kind of took on, so I don't know many other details. All I know is that both sample sizes (919 and 1209) are different and it is not guaranteed that the same parents answered. The cohort is similar in that postcards were sent to parents with children between 12-24 months. I have been stuck on how to analyze this effectively and efficiently for a while, so please let me know what I should do! Furthermore, we serve 7 villages so if I could break it down further by those, that would also be helpful. I have attached a word doc below.
Please let me know if there are any questions! Thanks in advance!
Thanks!
