Patterns in Nonopioid Pain Medication Prescribing After the Release of the 2016 Guideline for Prescribing Opioids for Chronic Pain.

Importance: In 2016, the Centers for Disease Control and Prevention (CDC) released the evidence-based Guideline for Prescribing Opioids for Chronic Pain. How the release of this guideline coincided with changes in nonopioid pain medication prescribing rates remains unknown. Objective: To evaluate changes in nonopioid pain medication prescribing after the 2016 CDC guideline release and to assess the heterogeneity in these changes as a function of patient demographic and clinical characteristics. Design, Setting, and Participants: This cohort study constructed 7 (4 preguideline and 3 postguideline) annual cohorts using claims data from the national Optum Clinformatics Data Mart Database for the period January 1, 2011, through December 31, 2018. The cohorts included adults with commercial insurance, no cancer or palliative care claims, and 2 years of continuous insurance enrollment. Individuals could qualify for inclusion in multiple cohorts. Each cohort covered a 2-year period, with year 1 as the baseline period used to calculate opioid exposure and other clinical characteristics and year 2 as the follow-up period used to calculate prescribing outcomes. Data were analyzed in March 2022. Exposures: The CDC guideline, which was released in March 2016. Main Outcomes and Measures: The primary outcome was receipt of any nonopioid pain medication prescriptions (analgesics or antipyretics, anticonvulsants, antidepressants, and nonsteroidal anti-inflammatory drugs) during the follow-up period. This postguideline prescribing pattern was compared with estimates based on the preguideline prescribing pattern, and then the differences were stratified by patient clinical characteristics (chronic pain, recent opioid exposure, substance use disorder, anxiety disorder, and mood disorder). Results: A total of 15 879 241 individuals (2015 mean [SD] age, 50.2 [18.6] years; 8 298 271 female patients [52.3%]) qualified for inclusion in 1 or more cohorts. Logistic regression models showed that nonopioid pain medication prescribing odds were higher by 3.0% (95% CI, 2.6%-3.3%) in postguideline year 1, by 8.7% (95% CI, 8.3%-9.2%) in postguideline year 2, and by 9.7% (95% CI, 9.2%-10.3%) in postguideline year 3 than the preguideline pattern-based estimates. The magnitude of the postguideline departures from the preguideline pattern varied by several clinical characteristics (chronic pain, recent opioid exposure, anxiety disorder, and mood disorder). The largest departure was found among those with chronic pain, with postguideline prescribing being higher than estimated in postguideline year 2 (13.6%; 95% CI, 12.7%-14.6%) and postguideline year 3 (14.9%; 95% CI, 13.8%-16.0%). Conclusions and Relevance: Results of this study showed increases in nonopioid pain medication prescribing after the release of the 2016 CDC guideline, suggesting that the guideline may be associated with an increase in guideline-concordant care, but additional studies are needed to understand the role of other secular changes in the opioid policy landscape and other sources of nonopioid medication use.

Changes in Initial Opioid Prescribing Practices After the 2016 Release of the CDC Guideline for Prescribing Opioids for Chronic Pain.

Importance: The Centers for Disease Control and Prevention (CDC) released the "Guideline For Prescribing Opioids For Chronic Pain" (hereafter, CDC guideline) in 2016, but its association with prescribing practices for patients who are opioid naive is unknown. Objective: To estimate changes in initial prescribing rates, duration, and dosage practices to patients who are opioid naive after the release of the CDC guideline. Design, Setting, and Participants: This cohort study used 6 sequential cohorts to estimate preguideline trends in prescribing among patients who were opioid naive, project that trend forward, and compare it with postguideline prescribing practices. Participants included commercially insured adults without current cancer or hospice care diagnoses and with no past-year opioid claims in the US from 2011 to 2017. All adjusted models were controlled for patient demographics and state-fixed effects. Data were analyzed from January 2020 to May 2021. Exposures: The release of the CDC guideline. Main Outcomes and Measures: Indicators of any opioid prescription fills during a 9-month period, the number of days' supply of the initial prescription, and the binary indicator of whether the initial prescription was for 50 or more morphine milligram equivalents (MMEs) per day. Results: There were 12 870 612 eligible unique patients across cohorts (mean [SD] age in 2016, 51.2 [18.7] years; 6 553 458 [50.9%] women); and the mean (SD) age of the cohorts increased annually, from 48.7 (17.9) years in the April 2011 to December 2012 cohort to 51.9 (19.2) years in the April 2016 to December 2017 cohort. The postguideline prescribing prevalence was 532 962 of 5 834 088 individuals (9.1%), which exceeded that projected from the preguideline trend, estimated at 9.0% (95% CI, 9.0%-9.1%). Among patients receiving prescriptions during follow-up, adjusted mean days' supply was 4.7% (95% CI, 4.3%-5.1%) lower in the first year after release of the guideline and 9.8% (95% CI, 9.3%-10.3%) lower in the second year after release, compared with the expected rate from the preguideline trend. The adjusted odds of receiving a high-dose (ie, ≥50 MME/d) initial prescription were lower in the first year (odds ratio, 0.97; 95% CI, 0.96-0.98) and in the second year (odds ratio, 0.94; 95% CI, 0.93-0.96) after the release of the CDC guideline compared with the odds expected from the preguideline trend. Conclusions and Relevance: This cohort study found that patients who were opioid naive continued to initiate opioid therapy after the release of opioid prescribing guidelines by the CDC, but trends in prescribing duration reversed and decreased, after increasing in each of 4 preguideline cohorts examined. High-dose prescribing rates were already decreasing, but those trends accelerated after the CDC guideline release. These results suggest that nonmandatory, evidence-based guidelines from trusted sources were associated with prescribing practices. Guideline-concordant care has potential to improve pain management and reduce opioid-related harms.

Indication-Specific Opioid Prescribing for US Patients With Medicaid or Private Insurance, 2017.

Importance: Although opioids can be effective medications in certain situations, they are associated with harms, including opioid use disorder and overdose. Studies have revealed unexplained prescribing variation and prescribing mismatched with patient-reported pain for many indications. Objective: To summarize opioid prescribing frequency, dosages, and durations, stratified across numerous painful medical indications. Design, Setting, and Participants: Retrospective cross-sectional analysis of 2017 US administrative claims data among outpatient clinical settings, including postsurgical discharge. Participants had any of 41 different indications associated with nonsurgical acute or chronic pain or postsurgical pain or pain associated with sickle cell disease or active cancer and were enrolled in either private insurance (including Medicare Advantage) in the OptumLabs Data Warehouse data set (n = 18 016 259) or Medicaid in the IBM MarketScan Multi-State Medicaid Database (n = 11 453 392). OptumLabs data were analyzed from October 2018 to March 2019; MarketScan data were analyzed from January to April 2019. Exposures: Nonsurgical acute or chronic pain or postsurgical pain; pain related to sickle cell disease or active cancer. Main Outcomes and Measures: Indication-specific opioid prescribing rates; days' supply per prescription; daily opioid dosage in morphine milligram equivalents; and for chronic pain indications, the number of opioid prescriptions. Results: During the study period, of 18 016 259 eligible patients with private insurance, the mean (95% CI) age was 42.7 (42.7-42.7) years, and 50.3% were female; of 11 453 392 eligible Medicaid enrollees, the mean (95% CI) age was 20.4 (20.4-20.4) years, and 56.1% were female. A pain-related indication under study occurred in at least 1 visit among 6 380 694 patients with private insurance (35.4%) and 3 169 831 Medicaid enrollees (27.7%); 2 270 596 (35.6% of 6 380 694) privately insured patients and 1 126 508 (35.5% of 3 169 831) Medicaid enrollees had 1 or more opioid prescriptions. Nonsurgical acute pain opioid prescribing rates were lowest for acute migraines (privately insured, 4.6% of visits; Medicaid, 6.6%) and highest for rib fractures (privately insured, 44.8% of visits; Medicaid, 56.3%), with variable days' supply but similar daily dosage across most indications. Opioid prescribing for a given chronic pain indication varied depending on a patient's opioid use history. Days' supply for postoperative prescriptions was longest for combined spinal decompression and fusion (privately insured, 9.5 days [95% CI, 9.4-9.7 days]) or spinal fusion (Medicaid, 9.1 days [95% CI, 8.9-9.2 days]) and was shortest for vaginal delivery (privately insured, 4.1 days [95% CI, 4.1-4.1 days] vs Medicaid, 4.2 days [95% CI, 4.2-4.2 days]). Conclusions and Relevance: Indication-specific opioid prescribing rates were not always aligned with existing guidelines. Potential inconsistencies between prescribing practice and clinical recommendations, such as for acute and chronic back pain, highlight opportunities to enhance pain management and patient safety.

The Association Between Local Economic Conditions and Opioid Prescriptions Among Disabled Medicare Beneficiaries.

BACKGROUND: This paper concerns public health crises today-the problem of opioid prescription access and related abuse. Inspired by Case and Deaton's seminal work on increasing mortality among white Americans with lower education, this paper explores the relationship between opioid prescribing and local economic factors. OBJECTIVE: We examined the association between county-level socioeconomic factors (median household income, unemployment rate, Gini index) and opioid prescribing. SUBJECTS: We used the complete 2014 Medicare enrollment and part D drug prescription data from the Center for Medicare and Medicaid Services to study opioid prescriptions of disabled Medicare beneficiaries without record of cancer treatment, palliative care, or end-of-life care. MEASURES AND RESEARCH DESIGN: We summarized the demographic and geographic variation, and investigated how the local economic environment, measured by county median household income, unemployment rate, Gini index, and urban-rural classification correlated with various measures of individual opioid prescriptions. Measures included number of filled opioid prescriptions, total days' supply, average morphine milligram equivalent (MME)/day, and annual total MME dosage. To assess the robustness of the results, we controlled for individual and other county characteristics, used multiple estimation methods including linear least squares, logistic regression, and Tobit regression. RESULTS AND CONCLUSIONS: Lower county median household income, higher unemployment rates, and less income inequality were consistently associated with more and higher MME opioid prescriptions among disabled Medicare beneficiaries. Geographically, we found that the urban-rural divide was not gradual and that beneficiaries in large central metro counties were less likely to have an opioid prescription than those living in other areas.

Safer and more appropriate opioid prescribing: a large healthcare system's comprehensive approach.

RATIONALE, AIMS, AND OBJECTIVES: The United States is in the midst of a public health epidemic with more than 40 people dying each day from prescription opioid overdoses. Health care systems are taking steps to address the opioid overdose epidemic by implementing policy and practice interventions to mitigate the risks of long-term opioid therapy. Kaiser Permanente Southern California launched a comprehensive initiative to transform the way that chronic pain is viewed and treated. Kaiser Permanente Southern California created prescribing and dispensing policies, monitoring and follow-up processes, and clinical coordination through electronic health record integration. The purpose of this paper is to describe the implementation of these interventions and assess the impact of this set of interventions on opioid prescribing. METHOD: The study used a retrospective pre-post evaluation design to track outcomes before and after the intervention. Kaiser Permanente Southern California members age 18 and older excluding cancer, hospice, and palliative care patients and this sub-population of 3 203 880 was approximately 75% of all Kaiser Permanente Southern California members. All data are from Kaiser Permanente's pharmacy data systems and electronic health record collected on a rolling basis as interventions were implemented from January 2010 to December 2015. RESULTS: There were reductions in all tracked outcomes: a 30% reduction in prescribing opioids at high doses; a 98% reduction in the number of prescriptions with quantities greater than 200 pills; a 90% decrease in the combination of an opioid prescription with benzodiazepines and carisoprodol; a 72% reduction in the prescribing of Long Acting/Extended Release opioids; and a 95% reduction in prescriptions of brand name opioid-acetaminophen products. In addition, methadone prescribing did not increase during this period. CONCLUSIONS: This study adds promising results that a comprehensive system-level strategy has the ability to positively affect opioid prescribing. The basic components of the intervention are generalizable and applicable to other health care settings.

Initiatives to Enhance Primary Care Delivery: Two Examples from the Field.

OBJECTIVES: Increasing demands on primary care providers have created a need for systems-level initiatives to improve primary care delivery. The purpose of this paper is to describe and present outcomes for two such initiatives: the Pennsylvania Academy of Family Physicians' Residency Program Collaborative (RPC) and the St. Johnsbury Vermont Community Health Team (CHT). METHODS: Researchers conducted case studies of the initiatives using mixed methods, including: secondary analysis of program and electronic health record data, systematic document review and interviews. RESULTS: RPC is a learning collaborative that teaches quality improvement and patient-centeredness to primary care providers, residents, clinical support staff, and administrative staff in residency programs. Results show that participation in a higher number of live learning sessions resulted in a significant increase in patient centered medical home recognition attainment and significant improvements in performance in diabetic process measures including eye exams (14.3%, p=0.004), eye referrals (13.82%, p=0.013), foot exams (15.73%, p=0.003), smoking cessation (15.83%, p=0.012), and self-management goals (25.45%, p=0.001). As a community-clinical linkages model, CHT involves primary care practices, community health workers (CHWs), and community partners. Results suggest that CHT members successfully work together to coordinate comprehensive care for the individuals they serve. Further, individuals exposed to CHWs experienced increased stability in access to health insurance (p=0.001) and prescription drugs (p=0.000), and the need for health education counseling (p=0.000). CONCLUSION: Findings from this study indicate that these two system-level strategies have the promise to improve primary care delivery. Additional research can determine the extent to which these strategies can improve other health outcomes.