A 2018 national survey by Hopelab and Well Being Trust uncovered an astonishing finding: Fully half (51%) of 18- to 22-year-olds say they have tried to find people online with health concerns similar to their own. That is double the percentage of teens (14- to 17-year-olds) who reported doing this activity and it’s much higher […]
diabetes
Building the evidence base for peer health advice
Imagine an intervention that produces results like these: One-third of those living with chronic conditions are now more likely to take necessary medications. The risk of admission to a neonatal ICU during first year of life reduced by 63%. People with with poorly-controlled diabetes were able to achieve a 1.1-point reduction in their HbA1c. Each […]
The New York Times: “Sometimes Patients Simply Need Other Patients”
Aaron E. Carroll and Austin Frankt co-wrote an excellent article about peer-to-peer health care in The New York Times today. An excerpt: In an ideal world, when we are faced with a new health problem, a clinician is available to sit down and address all our questions and anxieties about the condition and its treatment. […]
What I’m reading, listening to, admiring…
I hunkered down at the library this week, working on a couple of long-term projects. I kept one eye on Twitter, though, as I always do, and wanted to share what distracted — and inspired — me this week: Radiolab: Worth — what would you pay for another month of life? How about a year? […]
Imagining better outcomes for T1D with #MakeHealth
This post originally appeared on Diabetes Mine. Forty-five makers, thinkers, designers and doers gathered in Cincinnati for a two-day meeting to kick off “Phase Zero” of a new initiative to imagine a new system of care for people living with Type 1 diabetes (T1D). The best way I can describe the group is that everyone […]
Secret questions, naked truths
My prepared remarks for the Quantified Self Public Health Symposium (here are some notes from the event): You know when you type the first few words of a query and Google suggests the rest based on what thousands of other people have typed next? There’s a Twitter account called Google Poetics that takes those suggested phrases […]
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