The real voyage of [data] discovery consists not in seeking new landscapes, but in having new eyes--Marcel Proust
I have tried. Most often I am told that the preferred mechanism or platform is to keep the status quo. Useless pre- and post-evaluation measuring nothing of value or multiple choice formats that do not mirror how physicians take care of patients. The ever present Likert style questions confusing unimodal and multimodal scales. I will say two things here--again. Values on a Likert scale are not comparable.
A score of 5 on one question is just that--a five on one question. Second, if you start using ranking scales you will improve your data quality and analyses exponentially. Why?
How are we communicating about point of care interventions in the absence of decision choice experiments, determinations of value for each stakeholder, and collaborations with patients?
Think about probabilities. In medicine we measure probabilities. What is your risk for a disease, what are the chances you will respond to treatment--think about large scale risk/benefit questions. Today we aren't tackling surveys though--you can read Write Better Surveys. Period. for the price of a cup of fancy coffee or stay tuned to future posts.
I typically start over on the website for downloading content for analysis--Clinical Trials Transformative Initiative (CTTI)'s Database for Aggregate Analysis of ClinicalTrials.gov (AACT). I suggest reading the page to better understand your options for data but if you are a beginner, scroll down to the link for the Clinical Trials project. This simplifies the download of aggregated data from the publicly available relational database.
I started using pipe-delimited files and working in R. I will show you a brief line of code or two so you can see how easily this option might work for you. The advantage of pipe-delimited files? They look like this column 1|column 2|column 3|column 4 so instead of being separated by a delimiter that might also be a value, such as a comma (in csv for example)--you have the pipe character.
If you want to learn more we can set up a remote session where you can log into my cloud environment and interact live while we explore a database of interest (see below)...
We have over 50 other tables to explore for granularity by condition, clinical trial phase, year of start or completion, results availability, or clinical trial design to name a few.
Here is the list of other tables in the dataset. Make sure you review the data dictionary to help you select tables of interest.