The Implementation of a Clinic-Based Opioid Review Board to Address High-Risk Opioid Prescribing in Primary Care.
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ABSTRACT:
SUBMITTER: Robbins JL
PROVIDER: S-EPMC8575523 | biostudies-literature | 2021 Nov-Dec
REPOSITORIES: biostudies-literature
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The Implementation of a Clinic-Based Opioid Review Board to Address High-Risk Opioid Prescribing in Primary Care.
Robbins Jonathan L JL Byler Julie J Vinti Angela A Watson Scott S Azar Afaf Sharen AS Korthuis P Todd PT Pickett Mary M
Annals of family medicine 20211101 6
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Project description:ImportanceTime pressure to provide a quick fix is commonly cited as a reason why opioids are frequently prescribed in the United States, but there is little evidence of an association between appointment timing and clinical decision-making. As the workday progresses and appointments run behind schedule, physicians may be more likely to prescribe opioids.ObjectiveTo estimate whether characteristics of appointment timing are associated with clinical decision-making about pain treatment.Design, setting, and participantsThis cross-sectional study of physician behavior used data from electronic health record systems in primary care offices in the United States to analyze primary care appointments occurring in 2017 for patients with a new painful condition who had not received an opioid prescription within the past year.Main outcomes and measuresThe association between treatment decisions and 2 dimensions of appointment timing (order of appointment occurrence and delay relative to scheduled start time) were assessed. The rates of opioid prescribing were measured and compared with rates of nonopioid pain medication (ie, nonsteroidal anti-inflammatory drugs) prescribing and referral to physical therapy. All rates were estimated within the same physician using physician fixed effects, adjusting for patient, appointment, and seasonal characteristics.ResultsAmong 678 319 primary care appointments (642 262 patients; 392 422 [61.1%] women) with 5603 primary care physicians, the likelihood that an appointment resulted in an opioid prescription increased by 33% as the workday progressed (1st to 3rd appointment, 4.0% [95% CI, 3.9%-4.1%] vs 19th to 21st appointment, 5.3% [95% CI. 5.1%-5.6%]; P < .001) and by 17% as appointments ran behind schedule (0-9 minutes late, 4.4% [95% CI, 4.3%-4.6%] vs ≥60 minutes late, 5.2% [95% CI, 5.0%-5.4%]; P < .001). Prescribing of nonsteroidal anti-inflammatory drugs and referral to physical therapy did not display similar patterns.Conclusions and relevanceThese findings suggest that, even within an individual physician's schedule, clinical decision-making for opioid prescribing varies by the timing and lateness of appointments.
| S-EPMC6724149 | biostudies-literature
Project description:BackgroundAntimicrobial resistance and opioid misuse both present major public health challenges, and identifying high prescribers of both of these agents can help provide a common target for intervention. We sought to determine the association between being a high prescriber of antibiotics and being a high prescriber of opioids in the primary care setting.MethodsWe performed a cross-sectional study of the antibiotic- and opioid-prescribing habits of primary care physicians in Ontario, Canada between Mar. 1, 2017, and Feb. 28, 2018, using administrative databases. We defined high prescribers as the top quartile of antibiotic or opioid prescribers using 3 antibiotic-prescribing metrics (prescriptions per patient visit, proportion of prescriptions that were broad spectrum and proportion of prescriptions > 8 d) and 3 opioid-prescribing metrics (prescriptions per patients seen, proportion of prescriptions > 90 mg of morphine equivalents and proportion of prescriptions > 28 d). We tabulated agreement between prescribing metrics using the κ statistic.ResultsWe included 9994 physicians. We observed minimal overlap between high antibiotic initiation and high opioid initiation (618 physicians [6.2%]) (κ = 0.00, 95% confidence interval -0.02 to 0.02). There was slight agreement between the antibiotic-prescribing indices and between the opioid-prescribing indices (within-class, range of κ 0.05 to 0.18). There was slight disagreement to slight agreement across antibiotic- and opioid-prescribing metrics (between-class, range of κ -0.09 to 0.16).InterpretationAmong primary care physicians, there was a lack of association between high antibiotic prescribing and high opioid prescribing. Our findings suggest that separate tailored approaches to antibiotic and opioid stewardship strategies are needed.
| S-EPMC8034295 | biostudies-literature
Project description:Introduction:Opioid overdose is highly prevalent among veterans. The Opioid Safety Initiative (OSI) and Centers for Disease Control and Prevention (CDC) issued prescribing guidelines for managing chronic pain. The purpose of this study was to investigate the impact of the 2013 OSI and 2016 CDC guidelines on opioid-prescribing trends in the emergency department and dental clinic within the Veterans Affairs Salt Lake City Health Care System. Methods:In this retrospective, cohort study, opioid prescriptions were queried from January 1, 2013, through March 31, 2017, and separated into 3 groups: pre-OSI, post-OSI, and post-CDC. The primary outcome was to determine a decrease in opioid prescribing. Secondary outcomes included changes in concurrent benzodiazepine and naloxone prescriptions and prescriber status. Analysis of variance was used to determine a difference between study periods. Results:There were 7339 opioid prescriptions identified. A statistically significant difference was found between the 3 groups in average number of opioids prescribed, morphine milligram equivalents per prescription, days' supplied, and medication quantity per prescription (P?<?.01). There was no significant difference between the 3 groups regarding morphine milligram equivalents per day (P?=?.24). Benzodiazepine prescribing remained the same. Concurrent naloxone prescriptions increased. Discussion:The results demonstrate that days' supply, quantity, and morphine milligram equivalent per day in the post-CDC group were consistent with guideline recommendations. Concurrent naloxone prescribing increased throughout all time periods. Implementation of guidelines impacted opioid-prescribing trends, ultimately lessening potential for misuse and abuse. However, there is still need for improvement with reducing concurrent benzodiazepine prescriptions.
| S-EPMC7534812 | biostudies-literature
Project description:BackgroundAfter decades of liberal opioid prescribing, multiple efforts have been made to reduce reliance upon opioids in clinical care. Little is known about the effects of opioid prescribing policies on outcomes beyond opioid prescribing.ObjectiveTo evaluate the combined effects of multiple opioid prescribing policies implemented in a safety-net primary care clinic in San Francisco, CA, in 2013-2014.DesignRetrospective cohort study and conditional difference-in-differences analysis of nonrandomized clinic-level policies.Patients273 patients prescribed opioids for chronic non-cancer pain in 2013 at either the treated (n=151) or control clinic (n=122) recruited and interviewed in 2017-2018.InterventionsPolicies establishing standard protocols for dispensing opioid refills and conducting urine toxicology testing, and a new committee facilitating opioid treatment decisions for complex patient cases.Main measuresOpioid prescription (active prescription, mean dose in morphine milligram equivalents [MME]) from electronic medical charts, and heroin and opioid analgesics not prescribed to the patient (any use, use frequency) from a retrospective interview.Key resultsThe interventions were associated with a reduction in mean prescribed opioid dose in the first three post-policy years (year 1 conditional difference-in-differences estimate: -52.0 MME [95% confidence interval: -109.9, -10.6]; year 2: -106.2 MME [-195.0, -34.6]; year 3: -98.6 MME [-198.7, -23.9]; year 4: -72.6 MME [-160.4, 3.6]). Estimates suggest a possible positive association between the interventions and non-prescribed opioid analgesic use (year 3: 5.2 absolute percentage points [-0.1, 11.2]) and use frequency (year 3: 0.21 ordinal frequency scale points [0.00, 0.47]) in the third post-policy year.ConclusionsClinic-level opioid prescribing policies were associated with reduced dose, although the control clinic achieved similar reductions by the fourth post-policy year, and the policies may have been associated with increased non-prescribed opioid analgesic use. Clinicians should balance the urgency to reduce opioid prescribing with potential harms from rapid change.
| S-EPMC8738839 | biostudies-literature
Project description:Long-term opioid use for noncancer pain is increasingly prevalent yet controversial given the risks of addiction, diversion, and overdose. Prior literature has identified the problem and proposed management guidelines, but limited evidence exists on the actual effectiveness of implementing such guidelines in a primary care setting.A multidisciplinary working group of institutional experts assembled comprehensive guidelines for chronic opioid prescribing, including monitoring and referral recommendations. The guidelines were disseminated in September 2013 to our medical center's primary care clinics via in person and electronic education.We extracted electronic medical records for patients with noncancer pain receiving opioid prescriptions (Rxs) in seasonally matched preintervention (11/1/2012-6/1/2013) and postintervention (11/1/2013-6/1/2014) periods. For patients receiving chronic (3 or more) opioid Rxs, we assessed the rates of drug screening, specialty referrals, clinic visits, emergency room visits, and quantity of opioids prescribed.After disseminating guidelines, the percentage of noncancer clinic patients receiving any opioid Rxs dropped from 3.9% to 3.4% (P?=?0.02). The percentage of noncancer patients receiving chronic opioid Rxs decreased from 2.0% to 1.6% (P?=?0.03). The rate of urine drug screening increased from 9.2% to 17.3% (P?=?0.005) amongst noncancer chronic opioid patients. No significant differences were detected for other metrics or demographics assessed.An educational intervention for primary care opioid prescribing is feasible and was temporally associated with a modest reduction in overall opioid Rx rates. Provider use of routine drug screening increased, but overall rates of screening and specialty referral remained low despite the intervention. Despite national pressures to introduce opioid prescribing guidelines for chronic pain, doing so alone does not necessarily yield substantial changes in clinical practice.
| S-EPMC5008612 | biostudies-literature
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.
| S-EPMC11787902 | biostudies-literature
Project description:ImportanceConcerns around excessive opioid prescribing have been used to argue against the expansion of the scope of practice of nurse practitioners (NPs), but the association of NP practice independence with high-risk opioid prescribing is not well understood.ObjectiveTo assess whether the rates of high-risk opioid prescribing changed in association with NP independence legislation.Design, setting, and participantsThis difference-in-differences analysis compared rates of high-risk opioid prescribing in 6 states over 2 years following the adoption of NP independence compared with 10 neighboring nonadopting states from January 2012 to December 2021. Prescription insurance claims for 2 874 213 continuously enrolled individuals (members) aged 18 to 64 years from Blue Cross Blue Shield Axis were analyzed. Data analysis was carried out from 2021 to 2024.ExposureTiming of the legislative effective date of NP independence in a state.Main outcomes and measuresThe primary outcome was the rate of opioid prescriptions that overlapped with a prescription for a central nervous system (CNS) depressant. Secondary outcomes included the number of days of opioid-CNS depressant overlap, as well as the dosage and days supplied of opioids among all members and among opioid-naive members.ResultsSix states that adopted NP independence legislation and 10 nonadopting neighboring states were similar in terms of demographic characteristics and had comparable pretrends in prescribing. The estimated change in the rate of opioid prescriptions that overlapped with a CNS depressant was -0.03 per 100 members per month (95% CI, -0.11 to 0.05). Changes in the number of days of opioid-CNS depressant overlap and in the dosage and days supplied of opioids among all members and among opioid-naive members were also small and statistically insignificant.Conclusions and relevanceThe results of this difference-in-differences analysis suggest that there was no relative increase in rates of high-risk opioid prescribing during the 2 years following the adoption of independence for NPs.
| S-EPMC11662257 | biostudies-literature
Project description:BACKGROUND:Systematic implementation of guidelines for opioid therapy management in chronic non-cancer pain can reduce opioid-related harms. However, implementation of guideline-recommended practices in routine care is subpar. The goal of this quality improvement (QI) project is to assess whether a clinic-tailored QI intervention improves the implementation of a health system-wide, guideline-driven policy on opioid prescribing in primary care. This manuscript describes the protocol for this QI project. METHODS:A health system with 28 primary care clinics caring for approximately 294,000 primary care patients developed and implemented a guideline-driven policy on long-term opioid therapy in adults with opioid-treated chronic non-cancer pain (estimated N = 3980). The policy provided multiple recommendations, including the universal use of treatment agreements, urine drug testing, depression and opioid misuse risk screening, and standardized documentation of the chronic pain diagnosis and treatment plan. The project team drew upon existing guidelines, feedback from end-users, experts and health system leadership to develop a robust QI intervention, targeting clinic-level implementation of policy-directed practices. The resulting multi-pronged QI intervention included clinic-wide and individual clinician-level educational interventions. The QI intervention will augment the health system's "routine rollout" method, consisting of a single educational presentation to clinicians in group settings and a separate presentation for staff. A stepped-wedge design will enable 9 primary care clinics to receive the intervention and assessment of within-clinic and between-clinic changes in adherence to the policy items measured by clinic-level electronic health record-based measures and process measures of the experience with the intervention. DISCUSSION:Developing methods for a health system-tailored QI intervention required a multi-step process to incorporate end-user feedback and account for the needs of targeted clinic team members. Delivery of such tailored QI interventions has the potential to enhance uptake of opioid therapy management policies in primary care. Results from this study are anticipated to elucidate the relative value of such QI activities.
| S-EPMC5989454 | biostudies-literature
Project description:AimsThe aims of the present study were to examine the prevalence of high-risk prescribing (HRP) in community-dwelling adults in Ireland from 2011-2015 using consensus-validated indicators, factors associated with HRP, and the variation in HRP between general practitioners (GPs) and in the dispensing of high-risk prescriptions between pharmacies.MethodsA repeated cross-sectional national pharmacy claims database study was conducted. Prescribing indicators were based on those developed in formal consensus studies and applicable to pharmacy claims data. Multilevel logistic regression was used to examine factors associated with HRP and dispensing.ResultsThere were significant reductions in the rates of most indicators over time (P < 0.001). A total of 66 022 of 300 906 patients at risk in 2011 [21.9%, 95% confidence interval (CI) 21.8, 22.1%], and 42 109 of 278 469 in 2015 (15.1%, 95% CI 15.0, 15.3%), received ≥1 high-risk prescription (P < 0.001). In 2015, indicators with the highest rates of HRP were prescription of a nonsteroidal anti-inflammatory drug (NSAID) without gastroprotection in those ≥75 years (37.2% of those on NSAIDs), coprescription of warfarin and an antiplatelet agent or high-risk antibiotic (19.5% and 16.2% of those on warfarin, respectively) and prescription of digoxin ≥250 μg day-1 in those ≥65 years (14.0% of those on digoxin). Any HRP increased significantly with age and number of chronic medications (P < 0.001). a) After controlling for patient variables, the variation in the rate of HRP between GPs was significant (P < 0.05); and b) after controlling for patient variables and the prescribing GP, the variation in the rate of dispensing of high-risk prescriptions between pharmacies was significant (P < 0.05).ConclusionsHRP in Ireland has declined over time, although some indicators persist. The variation between GPs and pharmacies suggests the potential for improvement in safe medicines use in community care, particularly in vulnerable older populations.
| S-EPMC5698567 | biostudies-literature
Project description:IntroductionIt is unknown whether certain dentists account for disproportionate shares of dental opioid prescriptions and high-risk prescriptions. Identifying and characterizing such dentists could inform the targeting of initiatives to improve the appropriateness and safety of dental opioid prescribing.MethodsIn May 2021, the authors conducted a cross-sectional analysis using the IQVIA Longitudinal Prescription Database, which reports dispensing from 92% of U.S. pharmacies, and 2 provider databases (IQVIA OneKey, National Plan and Provider Enumeration System). Analyses included opioid prescriptions from dentists dispensed in 2019 to patients aged >12 years. High-risk prescriptions were those considered high risk by any of 3 metrics (prescriptions to opioid-naïve patients exceeding a 3-day supply, prescriptions with daily opioid dosage ≥50 morphine milligram equivalents, opioid prescriptions with benzodiazepine overlap). Among all prescriptions and high-risk prescriptions, the authors calculated the proportion accounted for by high-volume dentists -- those with prescription counts in the 95th percentile or higher. Using logistic regression, the characteristics associated with being a high-volume dentist were identified.ResultsIn 2019, a total of 141,345 dentists accounted for 10,736,743 opioid prescriptions dispensed to patients aged >12 years; 4,242,634 (39.5%) were high-risk prescriptions. The 7,079 high-volume dentists, a group representing 5.0% of the 141,345 dentists, accounted for 46.9% of all prescriptions and 47.5% of high-risk prescriptions. Male sex, younger age, non‒Northeast location, and specialization in oral and maxillofacial surgery were associated with a higher risk of being a high-volume dentist.ConclusionsIn 2019, high-volume dentists accounted for almost half of dental opioid prescriptions and high-risk prescriptions. Quality improvement initiatives targeting these dentists may be warranted.
| S-EPMC8867916 | biostudies-literature