The healthcare system is increasingly inaccessible. The Makeshift Medicine Framework overviews how ppl address health threats when they cannot access formalized medical care. New 1st author w/ @KatieBiello& @JHughto@Brown_SPH out now in @NatureHumBehav https://t.co/bHc73V4b0X
Still actively recruiting for my qualitative study on #TwoSpirit & Indigenous #LGBTQ aging with HIV. Please spread the word to your 2SLGBTQIA+, aging, Indigenous & HIV provider networks!
‼️ thrilled to share I received a notice of award for my F31! I will cross train as a mixed methods behavioral scientist in epi, & comp sci to create a natural language processing algorithm to identity whether a pt has been exposed to xylazine!
In March, the Massachusetts Overdose Helpline received 284 calls from 11 states and spotted 427 use events. There were no overdoses detected. Operators spent 208.57 hours with our callers. 18 different operators took calls this month. So proud of our team!!
Motives for using substances & interest in substance use treatment varied | Substances were used to self-treat mental health concerns | multi-level barriers were faced across substance use tx settings | trans non-binary POC providers are needed in treatment settings
Excited to share a new 1st auth open access paper out in SSM - Qualitative Research in Health about reasons to use substances & substance use treatment experiences among transgender and gender diverse adults in Rhode Island! @freshatbrown@Brown_SPH https://t.co/OY7EkqPkW6
Patrick J.A. Kelly, MPH is a PhD student in @Brown_SPH. His scoping review found bias in the electronic health record in cases of race, gender, and medication for treatment of certain diseases.
For a more detailed outline of Kelly's review ➡️ https://t.co/FAXZx8YUFT
Bias has also been found in pt records w/ stigmatized diagnoses (e.g.,substance use disorder). Natural language processing techniques afford the greatest flexibility & power to study bias in provider's written lang about patients in med records @Brown_SPH
Excited to share a new 1st auth review in Stigma&Health @APA. We review methods to detect bias toward patients in the electronic health record & found that the records of Black pts contain significantly more bias indicators relative to white pts https://t.co/hKvjkW6G73
The irony of The Harvard Art Museum, which is directly across from a building named after Arthur Sackler, having an exhibit titled “The Objects of Addiction” on display now through Jan… 🤔
@d_a_dingman@maiasz How exciting! Love to see student-driven public health in action! Keep me posted on where / how we can keep up with and support the group’s work! 👏👏
@maiasz do you remember recommending this in my class when @PatrickJKelly7 asked what students could do? Well, it happened 😄 Temple students form club for drug policy reform: https://t.co/KW1wfzXBHU