For the second time in less than a year, I’m on my way back to Athens. This will be a short trip with virtually no team. My colleague organizing things in Athens has stated that she “feels sorry” for me, as the number of people signed up for the clinic appears to be quite large.
From what I can tell, the situation in Greece has only gotten worse since I was last there. Many borders and routes into Europe have closed, and migrants are being turned away at far greater numbers than they were last year. But by “turned away,” I’m not describing from Greece itself. Nope. Thousands continue to arrive on the shores of Greece every day. I’m talking about further into Europe. So, the migrant population continues to swell in Greece, especially Athens. Although authorities have begun shipping back some migrants (numbering in the hundreds) in the past few days, this is a small small number.
I say I’m bringing ‘no team’ this time, but in reality this isn’t accurate. Aside from what sounds like a great number of willing helpers in Athens, I also will bring my 14 and 16 year old daughters with me this time. I don’t know what sort of role they will be able to play in the work we do this time. It could be simply watching the children of the patients while they’re waiting the doc.
Hopefully, they can learn a bit about medical care in a refugee and/or underserved situation. As their lives are largely consumed with cheerleading, skinny jeans, teen-lit, French horn, Cello, soccer and boyfriends (ex…EX boyfriends), this might be quite an eye-opening experience for them. I hope so.
My biggest concern is that we will successfully collect accurate data on the patients we see. Last time we did a fair job, under the circumstances, but in my spare time I’m STILL working through the XL spreadsheet and trying to come up with data summaries that will be of some use to the wider medical world.
This time, I hope to have time to ask better questions, and to formalize how we input the data. It is well known among those who do medical research that 80% of the study is done before the study begins. Developing a means to collect data, to college USEFUL data, and to do it in a way that is searchable and accessible at a later date is difficult. It is especially difficult when at that later date, you are dealing with hundreds, maybe thousands of data points.
I’ve had enough training in this element of the medical world to feel a gnawing sense of anxiety as I approach the issue. My medical school heavily emphasizes epidemiology and biostatistics, and I was part-way through an Master’s in Public Health degree until I ran out of money. So I have a sense for how easy it is to do this stuff badly. But I wish I had a collaborator or better skills to know I could do it well.
Still, I’ve had some help from a colleague at work who maintains a quizzical affection for XL (I can’t judge, I was once in a steady relationship with Photoshop), and he has helped me clean up our data from October. And I have a much better sense for what I need to do this time around.
It should be mentioned that most relief agencies don’t actually do any of this, even the good agencies who actually help people (lots of them are there for the photo-op and little else, it seems). I received some generous help from a professor at the London School for Hygiene and Tropical Medicine prior to my last trip, and he noted only a small number of agencies who provide care AND do good, statistical research on the populations they serve.
So, it makes sense that I’m somewhat on my own here. It’s not easy to focus on research and practical care at the same time, as one is more empathy-driven, the other much more analytical and “cold.”
Example: if someone comes in coughing up blood, you can either turn and enter “hemoptysis” into your spreadsheet (and then get the heck out of there because…ew), or you can throw on some gloves, hopefully a mask, get them on a bed and start working them up for any of the many many possible reasons for that symptom (most of those reasons being prit-TEE bad).
So, we will see how this goes. We leave tomorrow (Sunday) afternoon.