“I did then what I knew how to do. Now that I know better, I do better.”--Maya Angelou
I relied on crap second-hand data. I know you can relate. We all did. The heavy peach, or low hanging fruit was impossible to resist. We created our own surveys based on weak or absent research methodology and performed a weak analysis of even weaker data.
Plan B--or maybe plan A in many cases included frantic searches through Pubmed. We were fueled by our insight or awareness that a survey must exist somewhere. Why not eliminate the middle man and apply pre-existing findings to what we hope to define as a persistent problem. Secretly we know that disease awareness is just a fancy name for marketing, so what's the harm?
I was recently asked about the pivot. When did I step away from "this is how we have always done it" to a level of insights worthy of informing and creating high-value behavioral change? I was interviewing with a high stakes Health Economics and Outcomes Research company. A remote managerial director asked about my process for developing manuscripts. I described the practice that had served me well for over a decade including a careful review of the data and a list of any lingering questions relating to economic models selected or statistical methods. She interrupted me stating that the data was too complicated for a writer and they would not need me to review or understand the data.
Okay so maybe it was more like a screeching spin-out rather than a pivot but I was more than slightly shocked. I did a few freelance projects for the team but soon learned that they were not particulary interested in insights or outside commentary--it was basically a secretarial gig--stay in the lanes of the solution we offer for a problem that may or may not exist.
I am pulling all of the information I have learned along the way, into a blueprint of how you can scale your own data needs. You can pull together adverse event data, direct medical costs, hospital data, patient level event and disease state data--all from your own computer.
Comprehensive lists and workable examples from available databases, allowing rapid and accurate reproduction of workable strategies based on your specific needs.
Follow this link for pre-order promotional offers (when they become available) and read excerpts right here on the blog. Sustaining members will receive the PDF of the book at no cost so stay tuned.
Thoughtful discussions about content development and outcomes analytics that apply the principles and frameworks of health policy and economics to persistent and perplexing health and health care problems...
Guy kawasaki--“I think you’re smart, so I’m not going to bludgeon you or trick you into becoming a customer. Try it, and then you decide.”