Implementation is an inherently social endeavor. Whether you’re working in research or practice, you have likely formed partnerships. In fact, interpersonal, inter-group, and inter-organizational relationships can make or break implementation success. This is why deeply understanding partnering – that is, how we foster, grow, maintain, and evaluate collective action as part of the implementation process – is incredibly crucial.
My colleague Ali Jaffar sent me this recent article: A machine learning approach for identifying predictors of success in a Medicaid-funded, community-based behavioral health program using the Child and Adolescent Needs and Strengths (CANS). (A bit of a mouthful.) There are some really interesting ideas in here about how to support kids’ success and health from a young age…but it also kind of made me nervous. Take this sentence, for example:
“Our ultimate objective was to create a tool for use by evaluators at intake to identify a client’s probability of success in the program.”
The full picture is important here, but it may be tricky to see it. So in this post, I’m gonna talk you through this article as if I were talking to my soon-to-be kindergartener.
In scientific literature, the word abstract is an oxymoron. Allow me to explain.
When I think of the word “abstract,” I think of words like: implicit, subtextual, emotional. But a scientific abstract should actually be the opposite of all those things: explicit, precise, and detached.
An abstract is the beginning and end of every scientific publication. It attempts to communicate the whole paper in just a few sentences. Because of this, abstracts are key when exploring articles. They should be able to tell you, in a succinct and straightforward way, what that paper is about and whether it is worth your time.
The Global Implementation Conference has just wrapped. Despite my own personal ambivalence toward online gatherings, the whole thing went on without a hitch. The content was great; the presentations and storyboards led to dynamic interactions…it was FUN.
In lieu of abstract harvesting, let’s take a brief minute to look at some of the words and trends that showed up across Twitter. To assemble this data, I used Twitter’s API to pull all tweets with the #GIC2021 hashtag over the past week.
We were at a conference earlier this week that focused on implementing evidence-based practices to effectively address health equity. It’s a big problem because there’s a lot of evidence out there, and we need to draw conclusions. We decided to comb through the last 101 days of health equity and health equity-adjacent research to see what themes emerged.
The GIC conference just kicked off, and it’s stupendous to be able to connect with implementation researchers and practitioners the world over. We wish we would have gotten a screenshot of the participant spread. To help the audience stay on top of recent articles, we did a quick synthesis of the last month of published implementation science research.
Our Advisory Board member Dr. Victoria Scott and I (Jonathan) recently put out an article on some of the methods we use here at PubTrawlr. We also both have kids in elementary school. How might we explain our work to them?
We’re trying out a new format this month as we here at PubTrawlr transition to a new architecture. You’ll still be able to find the most up-to-date synthesis and recommendations. For whatever reason, it was a pretty light month: Thirty-Eight articles across these four journals.
Here’s something a little outside our normal content.
We are presenting this week (May 3, 2021) on the use of web-scraping to better understand context. While this doesn’t concern the translation of scientific findings, it does concern how these findings are implemented.
We’ve long noted that the stuff that PubTrawlr does is just the first step in a long implementation process. You want to put something evidence-based into place? You need to understand the on-the-ground condition that may it receptive or not to change. This is just about using web-based data to find that context. Check out our presentation at the link below.
In one early-ish episode of Star Trek: The Next Generation, Captain Picard confronts the android Commander Data in his quarters. Although Data has no emotion, he is mired in self-doubt and confusion after losing at a game he thought he would easily win. Data futilely searches for something, something that explains the loss; a malfunctioning processor or faulty sensor, but keeps coming up empty. And Picard, in the way that Picard can, explains the following:
My mind kept returning to this scene after the TecBridge finals last night. We didn’t win, and it was a major bummer. I can be happy for the winner (I do have some empathy) but was terribly disappointed.
I honestly believe that every opportunity presents a chance for improvement. That’s the whole nature of the evaluation work done over at Dawn Chorus. And, yet, I can’t help but think that we really did do everything we could to put ourselves in the best, honest light. The journey was nice, and it’s okay to hope we’d end up at the beach.
So, the whole team here at PubTrawlr forges ahead. We really believe in the value of PubTrawlr and what it can do for scientific synthesis…and ultimately what it can do for outcomes. The only thing that fundamentally is different between yesterday and today is that we have to be a bit more creative. And that’s not a bad thing.