Patients and providers undergo observation during a conversation about immunotherapy. Then participate in an interview over 20 minutes.

The participants watch a video and their comprehension is tested in a pre and post methodology

Testing an educational video

Will use descriptive statistics to summarize the demographic characteristics and responses to the interviews. Will audio-record and transcribe the provider conversation for immunotherapy and the pre- and post-provider conversation interviews. The transcripts will be qualitatively coded using multi-level semantic analysis in MAXQDA. Pre-determined codes will include a list of potential benefits of immunotherapy, any patient estimation of the potential for benefit, any side effect and risk mentioned and any estimation of its frequency. Because there is no data on the frequency of misestimations due to media hype, no quantitative analysis is planned.

During the observed conversation, the ethics team member will note any technical term or metaphor used. The patient will then be asked if each term and metaphor is understood. The open ended questions about misunderstanding, technical terms and metaphors used, and patients' understanding of each term will be qualitatively coded using multi-level semantic analysis in MAXQDA. Frequency of misunderstood terms and misunderstood metaphors will be calculated.

The frequencies of each item of information identified by providers and patients will be determined. A combined list of the most frequently mentioned items of information to be included and a discussion of immunotherapy will be compiled.

Before-video and after-video correct definition rates will be calculated, along with 95% exact binomial confidence intervals using the Clopper-Pearson method. Before and after paired rates will be compared using an exact McNemar's test. Subset analyses will be performed for gender, age group (=< 55, > 55), and education level (high school graduate or less, some college or more).