New work in @AnnalsIM, presentation at #ARM19 tomorrow

How hard is it for those with opioid use disorder (OUD) to find a buprenorphine prescriber in states with the worst overdose burden?

w/ @tamarabeetham @DrSarahWakeman @BrendanSaloner + Marema Gaye

annals.org/aim/article-ab
@tamarabeetham @DrSarahWakeman @BrendanSaloner @AcademyHealth @HarvardChanSPH @HarvardHPM @JohnsHopkinsSPH First, a poll before I share results:
What is your best guess for the average wait time to get a new appointment with a buprenorphine prescribing in states with a high burden of OUD (e.g. WV, OH, MA, NH)?
@tamarabeetham @DrSarahWakeman @BrendanSaloner We did a “secret shopper” survey: 1,092 calls to 546 publicly-listed prescribers in WV, OH, MD, DC, MA and NH posing as people using heroin looking to restart buprenorphine.

Two calls to each prescriber – once as Medicaid-insured, once as uninsured/cash pay.
@tamarabeetham @DrSarahWakeman @BrendanSaloner Outcomes we tracked:
1) New patient acceptance
2) Possibility of getting buprenorphine at 1st visit without delay
3) Wait time to 1st appt
4) Cost of appt for uninsured
@tamarabeetham @DrSarahWakeman @BrendanSaloner We got a response for 78% of our calls, covering 81% of in-sample prescribers.

Depressing initial result – half of all calls using SAMHSA public listings were erroneous, no longer active, wrong clinical setting (e.g. emergency room)

Big initial barrier to finding a prescriber
@tamarabeetham @DrSarahWakeman @BrendanSaloner Key results:

New appointments:
- 46% of prescribers not accepting new Medicaid patients
- 38% not accepting new cash pay patients

Possible induction on 1st visit:
- 27% of contacts offered appointment with possible bupe at 1st visit for Medicaid
- 41% for uninsured/cash-pay
@tamarabeetham @DrSarahWakeman @BrendanSaloner Despite high rates of rejecting new appts, wait times were surprisingly short when we actually reached a clinic taking new patients:

Median wait time 5-6 days (!) among those offering appts

Consistently low wait time across all subgroups
@tamarabeetham @DrSarahWakeman @BrendanSaloner What about cost?

Median cost until induction - $250

5% of prescribers charge over $500

54% of prescribers said there were unknown add’l fees for urine/lab testing
@tamarabeetham @DrSarahWakeman @BrendanSaloner Other observations:

Variation at state level
- Biggest Medicaid/uninsured disparity in access in NH and OH
- MA had lowest rate of prescribers offering possible induction

Best appointment availability among NP/PAs, 275-waivered MDs

Lower availability in rural areas
@tamarabeetham @DrSarahWakeman @BrendanSaloner Takeaways
1) It takes a lot of phone calls to find someone who might actually offer an appointment
2) Maybe because it’s so difficult, wait times are short among those taking patients
3) Disparity in rapid induction between Medicaid/cash pay: Medicaid formulary barriers?
@tamarabeetham @DrSarahWakeman @BrendanSaloner Policy implications
1) Need interventions to better match pts to prescribers who are open
2) Maintaining an accurate online prescriber directory should not be not that hard, why don’t we do it?
3) Medicaid programs need to pay more/reduce barriers to close disparities in access
@tamarabeetham @DrSarahWakeman @BrendanSaloner Enormous thanks to my wonderful and talented team.

Especially for @tamarabeetham, who accomplished something remarkable leading this study while getting her MPH. Her effort got this work a best abstract award at #ARM19!!!!

More to come in this space
@tamarabeetham @DrSarahWakeman @BrendanSaloner Also read the very thoughtful editorial with points I didn't think of by @PoojaLagisetty @Amy_Bohnert

annals.org/aim/article-ab…

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Michael L. Barnett

Michael L. Barnett Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @ml_barnett

Feb 4
New work in @JAMA_current today - who has been getting those precious monoclonal antibody infusions for COVID-19 in the US?

It's not pretty ...

Work led by @CarolineLBehr with @kejoynt @ermeara Arnie Epstein and John Orav.

jamanetwork.com/journals/jama/… ImageImageImage
@JAMA_current @CarolineLBehr @kejoynt @ermeara We identified 1.9 million cases of COVID-19 in Medicare claims without hospitalization/death in the first week.

In nearly every case, those at higher risk of dying from COVID-19 were LESS likely to get monoclonal antibodies (mAbs).

jamanetwork.com/journals/jama/…
@JAMA_current @CarolineLBehr @kejoynt @ermeara Overall, 7.2% of Covid cases got mABs.

But the variation by demographic group is extreme.

0 chronic conditions: 23.2%
6+ chronic conditions: 4.7%

No Medicaid: 8.1%
Medicaid eligible: 4.6%

White: 7.4%
Black: 6.2%

No dementia: 7.8%
Dementia: 3.7%
Read 6 tweets
Dec 22, 2021
Here's my list of 12 papers in 2021 at the intersection of health care, medicine, economics and policy that surprised me, made me think, or were just damn clever.

I'm just going to focus on non-COVID-19 papers - we have enough of that other stuff in our feeds.

Off we go!

/1
Before we dive in - this is
A) definitely not comprehensive
B) definitely not in order of awesomeness

I’m also focusing on papers written by folks outside my direct circle of collaborators (w/ a couple of non-Harvard exceptions I can’t resist).

Sorry @AnupamBJena

/2
@AnupamBJena The first set of papers falls under the theme of "obviously broken systems that we could fix and improve health."

Paper 1:
"SNAP Participation and Health Care User in Older Adults" led by Seth Berkowitz @UNC_SOM and @SanjaybMDPhD in @AnnalsofIM

acpjournals.org/doi/10.7326/M2…
Read 30 tweets
Dec 9, 2021
New analysis in @NEJM today with coauthors @McGarryBE @ashdgandhi @DavidCGrabowski

Vaccine mandates continue to be controversial, including in nursing homes. What are the stakes exactly?

The results are sobering, to say the least ...

nejm.org/doi/full/10.10…
@NEJM @McGarryBE @ashdgandhi @DavidCGrabowski From June-Aug 2021, we compared resident and staff infection + mortality rates between 12,000 homes with the lowest staff vaccination rates (~30%) vs. highest (~80%).

In the least vaccinated homes:
+132% COVID cases in residents
+58% staff cases
+195% resident mortality

yikes
@NEJM @McGarryBE @ashdgandhi @DavidCGrabowski Over an 8 week period, if all nursing homes were magically raised to the highest staff vaccination levels nationally (~80%), we would have:

4,775 fewer resident cases
7,501 fewer staff cases
703 fewer resident deaths (nearly 50% of all deaths)
Read 4 tweets
Nov 8, 2021
Extremely provocative French study out in @JAMAInternalMed this morning on persistent COVID symptoms.

What is the association between persistent symptoms and COVID-19 serology vs. patient belief that they had COVID?

jamanetwork.com/journals/jamai…
@JAMAInternalMed The authors took a cross sectional cohort of >26,000 French survey respondents and compared their reports of persistent symptoms in early 2021 with:

1) COVID-19 serology collected May-Nov 2020
2) Self-reported belief about prior COVID-19 infection

2x2 table of pt chars below
@JAMAInternalMed Their findings:
1) Positive serology associated with 10/18 persistent symptoms

2) Positive belief association with 15/18 persistent symptoms

3) Controlling for serology, belief, other characteristics, all symptoms were associated with +belief, but not +serology (except anosmia)
Read 6 tweets
Mar 13, 2021
There was a totally overlooked trial in @NEJM this week with jaw-dropping results. The question: how should we diagnose diabetes in pregnancy?

23,792 pregnant women randomized to receive either 1-step or 2-step screening for gestational diabetes.

nejm.org/doi/full/10.10…

/1
@NEJM There's no consensus on how to diagnose diabetes in pregnancy, which is VERY common and, if treated, can reduce risk of infant + maternal complications.

So the authors compared the more sensitive, single visit "one step" approach to a "two step" approach that can take 2 visits.
@NEJM There was a HUGE difference in diabetes diagnosis between the two groups:

One-step: 16.5% of women diagnosed with diabetes

Two-step: 8.5% diagnosed

This diagnosis comes with a lot of emotional and clinical baggage!!

…pregnancychildbirth.biomedcentral.com/articles/10.11…
Read 9 tweets
Jan 13, 2021
Brief primary care rant.

It's 2021. We have developed an effective vaccine for a novel virus in months and we can land a probe on a comet.

There is major cognitive dissonance with our potential as a society vs. the every day struggle to provide basic care for common conditions
Let me give a few examples.

Take hypertension. 1 in 3 Americans has it. It causes millions of years of life lost.

What is the process to diagnose and treat it? I have to beg my patient to buy a $40 cuff at a pharmacy, measure their BP, then call or send the numbers to me.
Alternative is coming to the office to get their BP measured. What a waste of resources. There are no cheap BP cuffs that can upload measurements to our EHR. Insurance doesn't cover them.

Without data I can't just randomly prescribe and titrate a BP med and hope for the best.
Read 12 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(