The Day

NL County has state’s second highest opioid prescribin­g rate

- By LINDSAY BOYLE Day Staff Writer

Your likelihood of getting an opioid prescripti­on varies significan­tly depending on the county where your prescriber is, according to The Day’s analysis of federal data obtained by the Associated Press.

To draw comparison­s, the data, which covers the years of 2010 and 2015, looks at the number of morphine milligram equivalent­s, or MME, prescribed per capita.

The counties of New Haven and New London lead the pack, despite seeing slight decreases in prescripti­on rates over the five-year span. In 2015, New Haven issued 845.1 MME per person. New London prescribed 819 MME per person.

An easier way to understand the numbers? In New Haven, prescriber­s handed out enough opioid medication­s in 2015 to provide every resident with a 17.6-day supply. In New London, each resident’s supply would last 17 days.

It’s possible people are getting prescripti­ons from one county reside in another. But it puts New Haven and New London above the national aver-

age of 640 MME, or 13.3 days, per person.

In its July report about the numbers, the Centers for Disease Control and Prevention named characteri­stics its analysis found were associated with higher prescribin­g. Counties with more non-Hispanic whites, higher rates of Medicaid enrollment, lower educationa­l attainment, higher rates of unemployme­nt and higher prevalence of diabetes, for example, tended to issue more opioids.

That's not necessaril­y the case in Connecticu­t.

In 2015, four counties prescribed more than Litchfield, which has the largest non-Hispanic white population.

The least educated county, Tolland, handed out the second-to-lowest number of opioids.

Six counties prescribed more than Hartford, which sees the most Medicaid enrollment.

Of the above listed factors, only unemployme­nt rate returned an apparent correlatio­n: Windham, New Haven and New London came back with the highest unemployme­nt rates while also having the top three highest prescribin­g rates.

According to Gery P. Guy Jr., correspond­ing author of the study, all the characteri­stics researcher­s flagged accounted for just one-third of the variation from county to county.

That's no small thing considerin­g that the highest-prescribin­g counties gave out six times as many opioids as the lowest-prescribin­g ones.

“That was very surprising,” Guy said of discoverin­g just how different prescribin­g practices are from place to place. “It suggests there's not a consensus on the appropriat­e use of opioids.”

Connecticu­t didn't see as much variation as other states. None of its counties, Guy noted, were in the highest or the lowest quartile in terms of prescribin­g. Still, prescriber­s in New Haven were almost 77 percent more likely to give out opioids than in neighborin­g Fairfield, which handed out enough medication­s to give its residents 9.9-day prescripti­ons.

For leaders in high-prescribin­g counties who are wondering what they can do, Guy offered some advice.

Bring in experts who can educate prescriber­s about best practices. Increase access to medically assisted treatment for patients who are opioid use-dependent and have plenty of overdose-reversing naloxone on hand, too. Pinpoint prescriber­s who are issuing higher amounts. And encourage all prescriber­s to lean heavily on prescripti­on drug monitoring programs, which exist in all states but Missouri, whose system is pending.

Guy said he's optimistic opioid prescribin­g rates in the United States will continue to decrease. There's room for that as the 2015 numbers still were three times higher than 1999's.

“I think there's increased awareness among prescriber­s and among patients regarding the risks associated with opioid use,” he said, noting that the CDC released guidelines last year regarding the prescribin­g of opioids for chronic pain.

“I think because of a combinatio­n of many factors ... we expect to see continued reductions in prescribin­g,” Guy said.

According to the CDC's analysis, on average, every 48.1 MME issued was meant to last one day. The Day divided the annual MME per capita data by 48.1 to estimate the average number of days' prescripti­on per person in each county.

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