I would start by engaging your state Medical Board and PDMP administrator. You will need political-administrative buy in at your organization and at the
state AG/Governor level. If you are in a state hard hit by the epidemic that shouldn't be a big ask. Talk to them about all the saber rattling that
CMS/OIG are
doing. They appear to be serious about sanctions and if they start in 2019 - as stated - time is short. CMS is going to use CDC guidelines for sanctioning.
Next go
here and down family medicine and IM for your state. Calculate the top 25% prescribers - column G - for each. There is the lion's share of your
problem. For those in your catchment area you can offer to simply take over, or your medical board can mandate it. But for those in rural area's you will
need a tele-pain mentoring program.
All of this is doable and worthwhile but it's not a one wo/man job.
Correlation of Opioid Mortality with Prescriptions and Social Determinants: A Cross-sectional Study of Medicare Enrollees.
Grigoras CA1,2,
Karanika S1,3,
Velmahos E1,
Alevizakos M1,
Flokas ME1,
Kaspiris-Rousellis C2,
Evaggelidis IN2,
Artelaris P4,
Siettos CI2,
Mylonakis E5.
Author information
Abstract
BACKGROUND:
The opioid epidemic is an escalating health crisis. We evaluated the impact of opioid prescription rates and socioeconomic determinants on opioid mortality rates, and identified potential differences in prescription patterns by categories of practitioners.
METHODS:
We combined the 2013 and 2014 Medicare Part D data and quantified the opioid prescription rate in a county level cross-sectional study with data from 2710 counties, 468,614 unique prescribers and 46,665,037 beneficiaries. We used the CDC WONDER database to obtain opioid-related mortality data. Socioeconomic characteristics for each county were acquired from the US Census Bureau.
RESULTS:
The average national opioid prescription rate was 3.86 claims per beneficiary that received a prescription for opioids (95% CI 3.86-3.86). At a county level, overall opioid prescription rates (p < 0.001, Coeff = 0.27) and especially those provided by emergency medicine (p < 0.001, Coeff = 0.21), family medicine physicians (p = 0.11, Coeff = 0.008), internal medicine (p = 0.018, Coeff = 0.1) and physician assistants (p = 0.021, Coeff = 0.08) were associated with opioid-related mortality. Demographic factors, such as proportion of white (p white < 0.001, Coeff = 0.22), black (p black < 0.001, Coeff = - 0.19) and male population (p male < 0.001, Coeff = 0.13) were associated with opioid prescription rates, while poverty (p < 0.001, Coeff = 0.41) and proportion of white population (p white < 0.001, Coeff = 0.27) were risk factors for opioid-related mortality (p model < 0.001, R 2 = 0.35).
Notably, the impact of prescribers in the upper quartile was associated with opioid mortality (p < 0.001, Coeff = 0.14) and was twice that of the remaining 75% of prescribers together (p < 0.001, Coeff = 0.07) (p model = 0.03, R 2 = 0.03).
CONCLUSIONS:
The prescription opioid rate, and especially that by certain categories of prescribers, correlated with opioid-related mortality. Interventions should prioritize providers that have a disproportionate impact and those that care for populations with socioeconomic factors that place them at higher risk.