Changes in Concurrent Opioid and Benzodiazepine Use Following a Low-Touch Prescriber Fax Intervention.

BACKGROUND: Concurrent use of opioids and benzodiazepines (COB) can lead to additive respiratory and central nervous system effects, putting patients at increased risk of fatal overdose. In 2016, the Centers for Disease Control and Prevention released an opioid-prescribing guideline recommending against COB, and the Pharmacy Quality Alliance (PQA) endorsed a COB measure in its core opioid set. From May 1, 2017, to December 4, 2017, a California Medicaid plan launched a COB-focused prescriber outreach intervention for members receiving recent opioid and benzodiazepine claims with the intent of decreasing concurrent use. OBJECTIVE: To assess the effect of a prescriber fax intervention by a Medicaid plan on COB. METHODS: Two retrospective analyses were conducted using administrative pharmacy claims data: a comparison of the PQA COB rate among selected California Medicaid plans for 2016 and 2017 and a cohort utilization analysis of members identified for the fax intervention compared with controls. Intervention and control members were matched based on 12 pre-index utilization characteristics. Outcomes assessed included proportion of members with resolution of COB in the post-index period, change in mean number of COB days before and after the index date, and proportion of members with decreased benzodiazepine daily dose after the index date. Analyses were also performed for the subgroups of members with < 30 days of COB and ≥ 30 days of COB in the pre-index period. RESULTS: All California Medicaid plans in the study saw an improvement in the PQA COB rate between 2016 and 2017. In the utilization analysis, 4,182 intervention members were eligible according to study criteria and matched to similar control members. Many differences in medication use existed between the subgroups with < 30 days and ≥ 30 days of COB in the pre-index period, with the latter group consisting of much more chronic, complex users. The intervention cohort had a statistically significant higher proportion of members with complete resolution of COB compared with the control cohort (43.8% vs. 40.0%; P < 0.01), which was also statistically significant for the 2 subgroups. The intervention cohort had a decrease in the mean number of COB days from pre- to post-index periods, but this was only statistically significant for the subgroup with < 30 COB days (-2.5 vs. -1.5; P = 0.0217). No statistically significant differences were detected between cohorts in proportion of members with decreased benzodiazepine dose. CONCLUSIONS: Our analyses demonstrated that this low-touch prescriber fax intervention produced statistically significant improvements in COB outcomes, despite the overall trend of declining COB among the other California Medicaid plans. Low-touch, targeted prescriber outreach can be an inexpensive yet effective tool to affect prescriber behavior, particularly before COB becomes chronic. DISCLOSURES: No outside funding was used to support this study. The authors do not have any financial relationships or potential conflicts of interest relevant to this article to disclose. At the time of conducting this research, all authors were employees of MedImpact Healthcare Systems. The results of this study were presented at the AMCP Managed Care & Specialty Pharmacy Annual Meeting 2019; March 25-28, 2019; San Diego, CA.

Is There a Relationship Between Part D Medication Adherence and Part C Intermediate Outcomes Star Ratings Measures?

BACKGROUND: Improvements in the Centers for Medicare & Medicaid Services (CMS) star ratings Part D medication adherence measures may affect performance in Part C intermediate outcome measures for which the Part D targeted medication classes are prescribed. OBJECTIVE: To determine if Part D medication adherence measures are associated with corresponding Part C intermediate outcome measures. METHODS: This was a cross-sectional analysis using the CMS 2015 star ratings report (based on 2013 benefit year plan data) for Medicare contracts. The measures of interest included the Part D adherence measures for diabetes medications, antihypertensive agents, and statins and the Part C intermediate outcome measures for controlled blood sugar, blood pressure, and cholesterol. All Medicare Advantage Prescription Drug (MAPD) contracts with complete data for all Part C and D measures of interest were included. Contracts with ≥ 25% of total enrollment with MA-only benefit were excluded. Linear and logistic regression models were used to assess the association between 2015 Part D adherence measures and Part C intermediate outcome measures (n = 366). The regression models were adjusted for low-income subsidy (LIS) beneficiary enrollment and log-transformed (natural logarithm) total contract enrollment. RESULTS: Bivariate linear regression models demonstrated moderate positive associations between each of the 2015 Part D adherence scores and related 2015 Part C measures that explained 27%-29% (R(2)) of variance. Including LIS and total contract enrollment in the regression models increased the R2 to 30%-36%. The multivariate logistic regression models showed that each percentage point of improvement in the 2015 Part D adherence measures was associated with a 4.13 to 4.69 greater odds of performing in the top quartile in corresponding 2015 Part C measures. CONCLUSIONS: Moderate positive associations were observed between the Part D and Part C scores in the same benefit year. MAPD plans may observe improved Part C intermediate outcome measures with strategies that improve Part D medication adherence measures. DISCLOSURES: This study was conducted by MedImpact Healthcare Systems, San Diego, California, without external funding. All authors are employees of MedImpact Healthcare Systems. Erickson reports advisory board fees from Sanofi and AstraZeneca. Ta, Erickson, and Patel were responsible for study concept and design and data interpretation, with assistance from Qiu. Qiu and Ta took the lead in data collection, assisted by Erickson. Ta wrote the manuscript, which was revised by Erickson and Patel.