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Dan Ly

@meddly.bsky.social

Physician and health economist. Assistant prof at UCLA GIM&HSR. Studying physician decision-making and health care disparities. https://sites.google.com/view/danply/

840 Followers  |  300 Following  |  59 Posts  |  Joined: 19.07.2023  |  2.1253

Latest posts by meddly.bsky.social on Bluesky


When the podcast described β€œthree-cueing,” I got angry at its ridiculousness, and I never get angry

11.01.2026 14:25 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

The podcast is how I found out about it.

11.01.2026 14:12 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Statistician Life-saving breakthroughs, innovative therapies, and next-generation technologies. Through vision, tenacity, and inspiration, UCLA Health’s world-class researchers are redefining human health and...

Hi! I'm looking to hire a full-time programmer/data analyst with SQL experience to work with EHR data! Details here: uclahealth.avature.net/careers/JobD...

09.12.2025 17:48 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

You see it often because it’s a standard error

18.11.2025 16:54 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Leniency Designs: An Operator's Manual We develop a step-by-step guide to leniency (a.k.a. judge or examiner instrument) designs, drawing on recent econometric literatures. The unbiased jackknife instrumental variables estimator (UJIVE) is...

Excited to post a new working paper with @instrumenthull.bsky.social and Michal KolesΓ‘r: arxiv.org/abs/2511.03572

Will post a thread on it soon, but if you're interested in judge/examiner designs, I think you'll find this guide very helpful!

06.11.2025 04:06 β€” πŸ‘ 40    πŸ” 11    πŸ’¬ 0    πŸ“Œ 2

Kid a few years from now: β€œDaddy, why is my name Yoshinobu?”

02.11.2025 04:29 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Someone on a listserv I was on asked how to install SPSS on a server. I scoffed before realizing one day soon I'll be asking how to install Stata on a server and someone else will be rolling their eyes...

29.10.2025 22:02 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Congrats!!!

20.10.2025 17:35 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

A great listen!!!

17.09.2025 02:59 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
Question Has hospital length of stay increased more for Medicare
Advantage beneficiaries than for traditional Medicare beneficiaries
since the COVID-19 pandemic?Findings In this cohort study involving more than 89 million
hospitalizations from 2017 to the third quarter of 2023, Medicare
Advantage beneficiaries experienced disproportionately greater
increases in extended hospital stays, especially among those
discharged to skilled nursing facilities.Meaning These findings suggest that the Medicare Advantage
plan design and practices may contribute to hospital discharge
delays, with implications for patient outcomes and hospital
capacity as enrollment continues to rise.

Question Has hospital length of stay increased more for Medicare Advantage beneficiaries than for traditional Medicare beneficiaries since the COVID-19 pandemic?Findings In this cohort study involving more than 89 million hospitalizations from 2017 to the third quarter of 2023, Medicare Advantage beneficiaries experienced disproportionately greater increases in extended hospital stays, especially among those discharged to skilled nursing facilities.Meaning These findings suggest that the Medicare Advantage plan design and practices may contribute to hospital discharge delays, with implications for patient outcomes and hospital capacity as enrollment continues to rise.

New paper w/ Brian McGarry, Ashvin Gandhi, and Drew Wilcock in @jamainternalmed.com!

Hospitals are complaining across the US that patients are "stuck" waiting for rehab beds at nursing homes when they are medically stable and ready for discharge. What is going on??

jamanetwork.com/journals/jam...

08.09.2025 20:58 β€” πŸ‘ 96    πŸ” 36    πŸ’¬ 4    πŸ“Œ 7

Woo Laura!!!

20.04.2025 21:25 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Will the panel include fixed effects?

11.04.2025 23:35 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

So sorry! It’s so much work! Best of luck with whichever direction you take!

25.12.2024 05:34 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

To be clear, we use the ED because it’s a clean sample largely free of prior influences from prior docs. This phenomenon of variation across docs in same facility can likely be found in length of stay for hospitalists, pneumonia read rates for radiologists, etc.

24.12.2024 23:51 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

We agree that SDoH are important. This is why we take care to make comparisons within ED while also controlling for such things as time of arrival, ESI, and location within ED. We suspect there aren’t large differences in SDoH across docs in same ED after controlling for time, location, ESI, etc.

24.12.2024 23:11 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

We use mortality because it’s an important measure and it’s largely non-contestable how to measure it. How would one measure an indicated vs not indicated admission? We also find that admitted patients of higher admitting docs more likely to be discharged before 24 hrs.

24.12.2024 23:07 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Thanks. Having more docs not trained in EM at the VA is something we acknowledge in the limitations of our paper, as is our inability to include doc characteristics such as training. But other lit using Medicare data show similar level of admit variation. www.healthaffairs.org/doi/pdf/10.1...

24.12.2024 23:02 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

We didn’t get that granular but that’s a great question to explore.

23.12.2024 23:35 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Whoops, tagging Stephen’s bluesky account, not his Twitter account. @coussens.bsky.social

23.12.2024 22:10 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Variation in Emergency Department Physician Admitting Practices and Subsequent Mortality This cross-sectional study using Veterans Affairs data from more than 2 million patient emergency department visits over 8 years examines the variation in physicians’ admission propensities and how th...

But higher admission rates do NOT ⬇️ important adverse outcomes like mortality. Given high costs of admission ($, provider & facility capacity, pt well-being), better understanding how such variation arises could be fruitful for pts, docs, and healthcare system. 8/ jamanetwork.com/journals/jam...

23.12.2024 21:46 β€” πŸ‘ 9    πŸ” 1    πŸ’¬ 3    πŸ“Œ 0

In sum, there is much variation in admit practices, likely due to diffs in skill & risk aversion. This mirrors variation in other doc specialties, who also greatly differ in their decisions. Of note, results do NOT argue for high-admit docs to indiscriminately ⬇️ admit rates. 7/

23.12.2024 21:46 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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But seeing a higher-admitting doc does NOT reduce your likelihood of dying (either within 30 days [shown here], 7 days, 14 days, 90 days, or a year). 6/

23.12.2024 21:46 β€” πŸ‘ 10    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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Higher-admitting docs also order more radiology and laboratory tests in the ED. This suggests that admission rates may also be reflective of practice pattern intensity more generally. 5/

23.12.2024 21:46 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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With data on over 2 million pts across 100 hospitals nationwide, we find that patients treated by docs with higher admission propensities are more likely to be discharged from the hospital within 24 hours when admitted, suggesting a lower clinical need for their hospitalization. 4/

23.12.2024 21:46 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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We use rich VA EHR data with info not available in claims data such as ⌚️ of arrival, location within ED, and ESI (a # based on pt severity). This allows us to demonstrate that variation in docs’ admission rates is attributable to docs themselves, not to diffs in pt health. 3/

23.12.2024 21:46 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 1    πŸ“Œ 1
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The decision to admit or discharge a patient is one of the most important decisions an ED doc makes. By how much do ED docs vary in this decision? A lot! Being treated by a doc in top 10% vs bottom 10% can nearly double your probability of admission. 2/

23.12.2024 21:46 β€” πŸ‘ 11    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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🚨New paper🚨The emergency department (ED) is like a box of chocolates; you never know which doc you're gonna get. What happens when you get a doc that admits patients more often? Are you less likely to die? @stephencoussens and I explore this question in @JAMAInternalMed.🧡1/

23.12.2024 21:46 β€” πŸ‘ 61    πŸ” 23    πŸ’¬ 7    πŸ“Œ 8

Wow, amazing news. Congrats to you both!

19.12.2024 22:22 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

I’m really sorry to hear about that.

05.12.2024 18:19 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

I do think a fair bit of thought goes into these recs, and hope is that there are active discussions between primary care doc and the patient about risks and benefits to screening over age 75. It’s not explicitly discouraged, although I’m not sure what insurance coverage is for colos for those >75

05.12.2024 18:09 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

@meddly is following 20 prominent accounts