Dataset Information

Changes in Opioid Prescribing Following the Implementation of State Policies Limiting Morphine Equivalent Daily Dose in a Commercially Insured Population.

ABSTRACT:

Background

Prescription opioid mortality doubled 2002-2016 in the United States. Given the association between high-dose opioid prescribing and opioid mortality, several states have enacted morphine equivalent daily dose (MEDD) policies to limit high-dose prescribing. The study objective is to evaluate the impact of state-level MEDD policies on opioid prescribing among the privately insured.

Methods

Claims data, 2010-2015 from 9 policy states and 2 control states and a comparative interrupted time series design were utilized. Primary outcomes were any monthly opioid use and average monthly MEDD. Stratified analyses evaluated theorized weaker policies (guidelines) and theorized stronger policies (passive alert systems, legislative acts, and rules/regulations) separately. Patient groups explicitly excluded from policies (eg, individuals with cancer diagnoses or receiving hospice care) were also examined separately. Analyses adjusted for covariates, state fixed effects, and time trends.

Results

Both guideline and strong policy implementation were both associated with 15% lower odds of any opioid use, relative to control states. However, there was no statistically significant change in the use of high-dose opioids in policy states relative to control states. There was also no difference in direction and significance of the relationship among targeted patient groups.

Conclusions

MEDD policies were associated with decreased use of any opioids relative to control states, but no change in high-dose prescribing was observed. While the overall policy environment in treatment states may have discouraged opioid prescribing, there was no evidence of MEDD policy impact, specifically. Further research is needed to understand the mechanisms through which MEDD policies may influence prescribing behavior.

SUBMITTER: Heins SE

PROVIDER: S-EPMC8384656 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Publications

Changes in Opioid Prescribing Following the Implementation of State Policies Limiting Morphine Equivalent Daily Dose in a Commercially Insured Population.

Heins Sara E SE Castillo Renan C RC

Medical care 20210901 9

<h4>Background</h4>Prescription opioid mortality doubled 2002-2016 in the United States. Given the association between high-dose opioid prescribing and opioid mortality, several states have enacted morphine equivalent daily dose (MEDD) policies to limit high-dose prescribing. The study objective is to evaluate the impact of state-level MEDD policies on opioid prescribing among the privately insured.<h4>Methods</h4>Claims data, 2010-2015 from 9 policy states and 2 control states and a comparative ...[more]

PMID: 34081679

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Project description:IntroductionStates' approaches to addressing prenatal substance use are widely heterogeneous, ranging from supportive policies that enhance access to substance use disorder (SUD) treatment to punitive policies that criminalize prenatal substance use. We studied the effect of these prenatal substance use policies (PSUPs) on medications for opioid use disorder (OUD) treatment, including buprenorphine, naltrexone, and methadone, psychosocial services for SUD treatment, opioid prescriptions, and opioid overdoses among commercially insured pregnant females with OUD. We evaluated: (1) punitive PSUPs criminalizing prenatal substance use or defining it as child maltreatment; (2) supportive PSUPs granting pregnant females priority access to SUD treatment; and (3) supportive PSUPs funding targeted SUD treatment programs for pregnant females.MethodsWe analyzed 2006-2019 MarketScan Commercial Claims and Encounters data. The longitudinal sample comprised females aged 15-45 with an OUD diagnosis at least once during the study period. We estimated fixed effects models that compared changes in outcomes between pregnant and nonpregnant females, in states with and without a PSUP, before and after PSUP implementation.ResultsOur analytical sample comprised 2,438,875 person-quarters from 164,538 unique females, of which 13% were pregnant at least once during the study period. We found that following the implementation of PSUPs funding targeted SUD treatment programs, the proportion of opioid overdoses decreased 45% and of any OUD medication increased 11%, with buprenorphine driving this increase (13%). The implementation of SUD treatment priority PSUPs was not associated with significant changes in outcomes. Following punitive PSUP implementation, the proportion receiving psychosocial services for SUD (12%) and methadone (30%) services decreased. In specifications that estimated the impact of criminalizing policies only, the strongest type of punitive PSUP, opioid overdoses increased 45%.ConclusionOur findings suggest that supportive approaches that enhance access to SUD treatment may effectively reduce adverse maternal outcomes associated with prenatal opioid use. In contrast, punitive approaches may have harmful effects. These findings support leading medical organizations' stance on PSUPs, which advocate for supportive policies that are centered on increased access to SUD treatment and safeguard against discrimination and stigmatization. Our findings also oppose punitive policies, as they may intensify marginalization of pregnant females with OUD seeking treatment.

Project description:BackgroundThere is concern that state laws to curb opioid prescribing may adversely affect patients with chronic noncancer pain, but the laws' effects are unclear because of challenges in disentangling multiple laws implemented around the same time.ObjectiveTo study the association between state opioid prescribing cap laws, pill mill laws, and mandatory prescription drug monitoring program query or enrollment laws and trends in opioid and guideline-concordant nonopioid pain treatment among commercially insured adults, including a subgroup with chronic noncancer pain conditions.DesignThirteen treatment states that implemented a single law of interest in a 4-year period and unique groups of control states for each treatment state were identified. Augmented synthetic control analyses were used to estimate the association between each state law and outcomes.SettingUnited States, 2008 to 2019.Patients7 694 514 commercially insured adults aged 18 years or older, including 1 976 355 diagnosed with arthritis, low back pain, headache, fibromyalgia, and/or neuropathic pain.MeasurementsProportion of patients receiving any opioid prescription or guideline-concordant nonopioid pain treatment per month, and mean days' supply and morphine milligram equivalents (MME) of prescribed opioids per day, per patient, per month.ResultsLaws were associated with small-in-magnitude and non-statistically significant changes in outcomes, although CIs around some estimates were wide. For adults overall and those with chronic noncancer pain, the 13 state laws were each associated with a change of less than 1 percentage point in the proportion of patients receiving any opioid prescription and a change of less than 2 percentage points in the proportion receiving any guideline-concordant nonopioid treatment, per month. The laws were associated with a change of less than 1 in days' supply of opioid prescriptions and a change of less than 4 in average monthly MME per day per patient prescribed opioids.LimitationsResults may not be generalizable to non-commercially insured populations and were imprecise for some estimates. Use of claims data precluded assessment of the clinical appropriateness of pain treatments.ConclusionThis study did not identify changes in opioid prescribing or nonopioid pain treatment attributable to state laws.Primary funding sourceNational Institute on Drug Abuse.

Project description:BackgroundThe United States is undergoing a crippling opioid epidemic, spurred in part by overuse of prescription opioids by adults 25 to 64 years of age. Of concern are long-duration and high-dose initial prescriptions, which place the patients and their friends and relatives at heightened risk for long-term opioid use, misuse, overdose, and death.MethodsWe estimated the incidence of initial opioid prescriptions in each month between July 2012 and December 2017 using administrative-claims data from across the United States (accessed through Blue Cross-Blue Shield [BCBS] Axis); monthly incidence was estimated as the percentage of enrollees who received an initial opioid prescription among those who had not used opioids (i.e., no opioid prescription or a diagnosis of opioid use disorder in the 6 months before a given month). We then estimated the percentage of enrollees initiating opioid therapy who received a long-duration or high-dose initial opioid prescription in each month during this period. We also calculated the number of providers who initiated opioid therapy in any patient who had not used opioids in each month and examined monthly trends in the duration and dose of initial opioid prescriptions in prescriber and patient subgroups. Our study sample included 63,817,512 enrollees who had not used opioids (mean, 15,897,673 per month).ResultsThe monthly incidence of initial opioid prescriptions among enrollees who had not used opioids declined by 54%, from 1.63% in July 2012 to 0.75% in December 2017. This decline was accompanied by a decreasing number of providers (from 114,043 in July 2012 to 80,462 in December 2017) who initiated opioid therapy in any patient who had not used opioids. Nonetheless, among the shrinking subgroup of physicians who initiated opioid therapy in such patients, high-risk prescribing (i.e., prescriptions for more than a 3-day supply or for a dose of 50 morphine milligram equivalents per day or higher) persisted at a monthly rate of 115,378 prescriptions per 15,897,673 enrollees who had not used opioids.ConclusionsAs the opioid crisis progressed between July 2012 and December 2017, many providers stopped initiating opioid therapy. Although the number of initial opioid prescriptions declined, a subgroup of providers continued to write high-risk initial opioid prescriptions. (Funded by the National Institute on Aging and a gift from Owen and Linda Robinson.).

Project description:ImportanceIn response to the growing opioid crisis, states implemented opioid prescribing limits to reduce exposure to opioid analgesics. Research in other clinical contexts has found that these limits are relatively ineffective at changing opioid analgesic prescribing.ObjectiveTo examine the association of state-level opioid prescribing limits with opioid prescribing within the 30-day postpartum period, as disaggregated by type of delivery (vaginal vs cesarean) and opioid naivete.Design, setting, and participantsThis retrospective, observational cohort study used commercial claims data from January 1, 2014, to December 31, 2021, from 49 US states and a difference-in-differences staggered adoption estimator to examine changes in postpartum opioid prescribing among all deliveries to enrollees between the ages of 18 and 44 years in the US.ExposuresThe implementation of a state opioid prescribing limit between 2017 and 2019.Main outcomes and measurementsThe primary outcomes for this analysis were the number of prescriptions for opioid analgesics, proportion of prescriptions with a supply greater than 7 days, and milligrams of morphine equivalent (MMEs) per delivery between 3 days before and 30 days after delivery.ResultsA total of 1 572 338 deliveries (enrollee mean [SD] age, 30.20 [1.59] years) were identified between 2014 and 2021, with 32.3% coded as cesarean deliveries. A total of 98.4% of these were to opioid-naive patients. The mean MMEs per delivery was 310.79, with higher rates in earlier years, states that had an opioid prescribing limit, and cesarean deliveries. In a covariate-adjusted difference-in-differences regression analysis, opioid prescribing limits were associated with a decrease of 148.70 MMEs per delivery (95% CI, -657.97 to 360.57) compared with states without such limits. However, these changes were not statistically significant. The pattern of results was similar among other opioid-prescribing outcomes and types of deliveries.Conclusions and relevanceThe results of this cohort study suggest that opioid prescribing limits are not associated with changes in postpartum opioid prescribing regardless of delivery type or opioid naivete, which is consistent with research findings on these limits in other conditions or settings. Future research could explore what kinds of prevention mechanisms reduce the risk of opioid prescribing during pregnancy and postpartum.

Project description:ImportanceAs opioid-related mortality continues to increase, naloxone remains a critical intervention in preventing overdose death. Opportunities to expand access through the health care setting should be optimized.ObjectiveTo determine the characteristics of naloxone prescribing for US patients at high risk of opioid overdose.Design, setting, and participantsThis retrospective cohort study used Truven Health MarketScan data from October 1, 2015, through December 31, 2016, of individuals with International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes related to opioid use, misuse, dependence, and overdose. The cohort included 138 108 commercially insured individuals aged 15 years or older in the United States with claims related to opioid misuse or dependence, opioid-related overdose, or both.ExposuresOutpatient naloxone pharmacy claims.Main outcomes and measuresDemographic characteristics, clinical characteristics, health care service use, and proportion prescribed naloxone were included in multivariable logistic regression analyses to test the association of opioid risk group with naloxone claim.ResultsOf 138 108 high-risk individuals (mean [SD] age, 43.4 [0.4] years; 72 435 [52.4%] men), 2135 (1.5%) were prescribed naloxone. Having prior diagnoses of both opioid misuse or dependence and overdose was associated with a greater likelihood of receiving naloxone (odds ratio [OR], 2.32; 95% CI, 1.98-2.72; P < .001) compared with having a prior diagnosis of opioid misuse or dependence without overdose. Having a prior diagnosis of opioid overdose alone was associated with a decreased likelihood of receiving naloxone (OR, 0.73; 95% CI, 0.57-0.94; P = .01) compared with having a prior diagnosis of opioid misuse or dependence without overdose. Factors associated with lower naloxone prescription included being aged 30 to 44 years (OR, 0.72; 95% CI, 0.62-0.84; P < .001) and being from the Midwest (OR, 0.62; 95% CI, 0.54-0.71; P < .001) or West (OR, 0.85; 95% CI, 0.74-0.98; P = .03). Opioid use disorder treatment, such as use of medication-assisted therapy (OR, 1.68; 95% CI, 1.53-1.86; P < .001), visiting a detoxification facility (OR, 1.51; 95% CI, 1.31-1.76; P < .001), or receiving other substance use disorder treatment (OR, 1.16; 95% CI, 1.04-1.30; P = .01), were associated with increased likelihood of receiving naloxone, as were receiving outpatient care from a pain specialist (OR, 1.57; 95% CI, 1.40-1.76; P < .001), psychologist (OR, 1.49; 95% CI, 1.29-1.70; P < .001), or surgeon (OR, 1.19; 95% CI, 1.08-1.32; P < .001). Overall, 98.5% (n = 135 973) of high-risk patients did not received naloxone, despite many interactions with the health care system, including 88 618 hospitalizations, 229 680 emergency department visits, 298 058 internal medicine visits, and 568 448 family practice visits.Conclusions and relevancePatients at high risk of opioid overdose rarely received prescriptions for naloxone despite numerous interactions with the health care system. Prescribing in emergency, inpatient, and outpatient settings represents an opportunity to improve access.

Dataset Information

Changes in Opioid Prescribing Following the Implementation of State Policies Limiting Morphine Equivalent Daily Dose in a Commercially Insured Population.

Background

Methods

Results

Conclusions

Publications

Changes in Opioid Prescribing Following the Implementation of State Policies Limiting Morphine Equivalent Daily Dose in a Commercially Insured Population.

Similar Datasets

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