Opioid Fills Research Articles

Cannabis

Objective: Almost half of U.S. states have passed recreational cannabis laws as of May 2024. While considerable evidence to date indicates cannabis may be a substitute for prescription opioids in the treatment of pain, it remains unclear if patients are treating pain with cannabis alone or concomitantly with other medications. Method: Using data from a national sample of commercially insured adults, we examine the effect of recreational cannabis legalization (through two sequential policies) on prescribing of opioids, NSAIDS, and other pain medications by implementing synthetic control estimations and constructing case-study level counterfactuals for the years 2007-2020. Results: Overall, we find recreational cannabis legalization is associated with a decrease in opioid fills among commercially insured adults in the U.S., and we find evidence of a compositional change in prescriptions of pain medications more broadly. Specifically, we find marginally significant increases in prescribing of non-opioid pain medications after recreational cannabis becomes legal in some states. Once recreational cannabis dispensaries open, we find statistically significant decreases in the rate of opioid prescriptions (13% reduction from baseline, p < .05) and marginally significant decreases in the average daily supply of opioids (6.3% decrease, p < .10) and number of opioid prescriptions per patient (3.5% decrease, p < .10). Conclusions: These results suggest that substitution of cannabis for traditional pain medications increases as the availability of recreational cannabis increases. There appears to be a small shift once recreational cannabis becomes legal, but we see stronger results once users can purchase cannabis at recreational dispensaries. The decrease in opioids and marginal increase in non-opioid pain medication may reflect patients substituting opioids with cannabis and non-opioid pain medications, either separately or concomitantly. Reductions in opioid prescription fills stemming from recreational cannabis legalization may prevent exposure to opioids in patients with pain and lead to decreases in the number of new opioid users, rates of opioid use disorder, and related harms.

Opioid tapering and discontinuation for head and neck cancer (HNC) survivors.

366 Background: Older HNC survivors often experience post-treatment pain, and they fill opioid prescriptions more often than similar cancer-free adults for the first 5 years after HNC diagnosis. To better understand whether ongoing opioid use is likely explained by continued opioid prescribing from the time of cancer treatment, we aimed to quantify the extent to which opioids prescribed near the end of treatment are reduced in dose (tapered) and discontinued after treatment completion. Methods: Using linked Surveillance, Epidemiology, and End Results (SEER) registry and Medicare claims data, we identified adults age >65 diagnosed 2014-2017 with stage I-III HNC with ≥6 months treatment-free follow-up prior to censoring at further treatment, new cancer, hospice, 3 months prior to death, or end 2019. We evaluated the presence of a new or ongoing opioid prescription 2 weeks following treatment completion (baseline) and calculated daily baseline dose in morphine milligram equivalents (MME). Among those with an opioid prescription (“on opioids”) at baseline, we described cross-sectional metrics of opioid receipt and dose every 30 days: proportion of survivors on opioids (who were also on opioids the prior month), initial and current dose of opioids for those currently on opioids, and proportion of survivors on opioids whose dose declined ≥50% from baseline. Results: Among 5135 HNC survivors, 894 were on opioids at baseline (average daily dose 44 MME). By 1 month, 29% of survivors on opioids at baseline (N=260) had a current opioid fill, and 7% had an opioid dose <50% of the baseline dose. Discontinuation of opioids increased each month; median daily dose each month ranged from 44 MME at 30 days to 60 MME at 180 days. Those who remained on opioids over 6 months had the highest opioid dose than those who discontinued earlier (median 45 MME at 90 days; Table). Conclusions: About 1 in 6 HNC survivors had an opioid prescription filled at the end of cancer treatment, and opioids were generally discontinued within a few months. Given the low median dose at baseline, the limited evidence of tapering likely results from low initial opioid doses rather than a failure to taper from long-term or high-dose use. Opioid use among older treatment-free HNC survivors that is apparent years after treatment completion is unlikely to result from inadequate tapering. Instead, it may be due to new or worsening cancer-related pain, as well as to non-cancer pain. Dose reduction and discontinuation (N=894). Days after baseline Off opioids On opioids Starting dose in MME among those on opioids Current dose in MME among those on opioids Tapered to <50% starting dose N (%) N (%) Median (IQR) Median (IQR) N (%) 30 634 (71) 260 (29) 53 (30, 80) 44 (29, 60) 61 (7) 60 772 (86) 122 (14) 45 (30, 67.5) 44 (29, 60) 15 (2) 90 820 (92) 74 (8) 58 (30, 90) 45 (29, 60) 7 (1) 120 838 (94) 56 (6) 60 (30, 90) 45 (25, 60) 7 (1) 150 849 (95) 45 (5) 56 (30, 65) 48 (29, 60) 2 (<1) 180 856 (96) 38 (4) 51 (30, 65) 60 (30, 90) 1 (<1)

Real-world impact of acupuncture on analgesics and healthcare resource utilization in breast cancer survivors with pain

BackgroundThis study evaluated the real-world impact of acupuncture on analgesics and healthcare resource utilization among breast cancer survivors.MethodsFrom a United States (US) commercial claims database (25% random sample of IQVIA PharMetrics® Plus for Academics), we selected 18–63 years old malignant breast cancer survivors experiencing pain and ≥ 1 year removed from cancer diagnosis. Using the difference-in-difference technique, annualized changes in analgesics [prevalence, rates of short-term (< 30-day supply) and long-term (≥ 30-day supply) prescription fills] and healthcare resource utilization (healthcare costs, hospitalizations, and emergency department visits) were compared between acupuncture-treated and non-treated patients.ResultsAmong 495 (3%) acupuncture-treated patients (median age: 55 years, stage 4: 12%, average 2.5 years post cancer diagnosis), most had commercial health insurance (92%) and experiencing musculoskeletal pain (98%). Twenty-seven percent were receiving antidepressants and 3% completed ≥ 2 long-term prescription fills of opioids. Prevalence of opioid usage reduced from 29 to 19% (P < 0.001) and NSAID usage reduced from 21 to 14% (P = 0.001) post-acupuncture. The relative prevalence of opioid and NSAID use decreased by 20% (P < 0.05) and 19% (P = 0.07), respectively, in the acupuncture-treated group compared to non-treated patients (n = 16,129). However, the reductions were not statistically significant after adjustment for confounding. Patients receiving acupuncture for pain (n = 264, 53%) were found with a relative decrease by 47% and 49% (both P < 0.05) in short-term opioid and NSAID fills compared to those treated for other conditions. High-utilization patients (≥ 10 acupuncture sessions, n = 178, 36%) were observed with a significant reduction in total healthcare costs (P < 0.001) unlike low-utilization patients.ConclusionsAlthough adjusted results did not show that patients receiving acupuncture had better outcomes than non-treated patients, exploratory analyses revealed that patients treated specifically for pain used fewer analgesics and those with high acupuncture utilization incurred lower healthcare costs. Further studies are required to examine acupuncture effectiveness in real-world settings.

Association of Pre–Lung Transplant Opioid Use With Posttransplant Opioid Use and Outcomes

BackgroundPreoperative opioid use (OU) is a strong risk factor for poor postoperative outcomes in other surgical populations but has not been explored in lung transplant (LT) recipients nationally. MethodsThe study identified adult (aged ≥18 years) US lung transplant (LT) recipients from 2011 to 2021 in the Scientific Registry of Transplant Recipients with prescription data through a pharmacy data set. Posttransplantation ventilatory support, infection, and mortality by pretransplantation OU (prescription fill ≤6 months before transplantation) were compared using multivariable regression. ResultsAmong 17,285 LT recipients, 17.9% had pretransplantation OU. The odds of posttransplantation opioid prescription fill were 3.18-fold higher 0 to 6 months after transplantation (adjusted odds ratio [aOR], 3.18; 95% CI, 2.91-3.47; P < .001) and 14.29-fold higher 6 to 12 months after transplantation (aOR, 14.29; 95% CI, 12.61-16.19; P < .001) among LT recipients with vs without pretransplantation OU. Pretransplantation OU was associated with 16% higher posttransplantation mortality (adjusted hazard ratio, 1.16; 95% CI, 1.09-1.25; P < .001) and a higher risk of ventilator use >48 hours (aOR, 1.14; 95% CI, 1.04-1.25; P = .006). ConclusionsPretransplantation OU was the strongest independent risk factor for posttransplantation OU and was associated with greater morbidity and mortality. Reducing pretransplantation and posttransplantation OU could benefit LT recipients and should be explored.

Role of primary care in opioid prescribing for older head and neck cancer survivors.

Older head and neck cancer (HNC) survivors have concerning rates of potentially unsafe opioid prescribing. Identifying the specialties of opioid prescribers for HNC survivors is critical for targeting the settings for opioid safety interventions. This study hypothesized that oncology and surgery providers are primarily responsible for opioid prescriptions in the year after treatment but that primary care providers (PCPs) are increasingly involved in prescribing over time. Using linked Surveillance, Epidemiology, and End Results-Medicare data, a retrospective analysis was conducted of adults aged >65 years diagnosed between 2014 and 2017 with stage I-III HNC and who had ≥6 months of treatment-free follow-up through 2019. Starting at treatment completion, opioid fills were assigned to a prescriber specialty: oncology, surgery, primary care, pain management, or other. Prescriber patterns were summarized for each year of follow-up. Multinomial logistic regression models captured the likelihood of opioids being prescribed by each specialty. Among 5135 HNC survivors, 2547 (50%) had ≥1 opioid fill (median, 2.1-year follow-up). PCPs prescribed 47% of all fills (42%-55% each year). PCPs prescribed opioids to 45% of survivors with ≥1 opioid fill, which was a greater share than other specialties. PCPs prescribed longer supplies of opioids (median, 20 days/fill; median, 30 days/year) than oncologists or surgeons. The likelihood of an opioid being prescribed by an oncology provider was four times lower than that of it being prescribed by a PCP. PCP involvement in opioid prescribing remains high throughout HNC survivorship. Interventions to improve the safety of opioid prescribing should target primary care, as is typical for opioid reduction efforts in the noncancer population.

New persistent opioid use following robotic-assisted, laparoscopic and open surgery inguinal hernia repair

IntroductionPost-operative prescription opioid use is a known risk factor for persistent opioid use. Despite the increased utilization of robotic-assisted surgery (RAS) for inguinal hernia repair (IHR), little is known whether this minimally invasive approach results in less opioid consumption. In this study, we compare long-term opioid use between RAS versus laparoscopic (Lap) versus open surgery for IHR.MethodsA retrospective cohort study of opioid-naïve patients who underwent outpatient primary IHR was conducted using the Merative™ MarketScan® (Previously IBM MarketScan®) Databases between 2016 and 2020. Patients not continuously enrolled 180 days before/after surgery, who had malignancy, pre-existing chronic pain, opioid dependency, or invalid prescription fill information were excluded. Among patients exposed to opioids peri-operatively, we assessed long-term opioid use as any opioid prescription fill within 90 to 180 days post-surgery. Secondary outcomes were controlled substance schedule II/III opioid fill, and high-dose opioid fill defined as > 50 morphine milligram equivalent per day. An Inverse-probability of treatment weighted logistic regression was used to compare outcomes between groups with p-value of < 0.05 considered statistically significant.ResultsA total of 41,271 patients were identified (2070 (5.0%) RAS, 16,704 (40.5%) Lap, and 22,497 (54.5%) open surgery). RAS was associated with less likelihood of prescription fills for any opioid (OR 0.78, 95% CI 0.60 to 0.98 versus Lap; OR 0.67, 95% CI 0.52 to 0.85 versus open), and schedule II/III opioid (OR 0.74, 95% CI 0.56 to 0.96 versus Lap; OR 0.68, 95% CI 0.51 to 0.88 versus open), but comparable high-dose opioid fill (OR 0.95, 95% CI 0.54 to 1.55 versus Lap; OR 0.96, 95% CI 0.56 to 1.52 versus open). Lap and open surgery had no significant difference.ConclusionIn this cohort of patients derived from a national commercial claims dataset, patients undergoing RAS had a decreased risk of long-term opioid use compared to laparoscopic and open surgery patients undergoing IHR.

Assessment of Surgical Complications Strengthen the Relationship Between Spine Surgery Procedure Intensity and Chronic Opioid Use After Surgery.

Prospective cohort using routinely collected health data. To compare opioid use based on surgery intensity (low or high). Many factors influence an individual's experience of pain. The extent to which postsurgical opioid use is influenced by the severity of spine surgery is unknown. The participants were individuals undergoing spine surgery in a large military hospital. Procedures were categorized as low intensity (eg, microdiscectomy and laminectomy) and high intensity (eg, fusion and arthroplasty). The Surgical Scheduling System and Military Health System Data Repository were queried for healthcare utilization the 1 year before and after surgery. We compared opioid use after surgery between groups, adjusting for prior opioid use and surgical complications. A total of 342 individuals met the inclusion criteria, with mean age 45.4 years (SD 10.9), and 33.0% were women. Of these, 221 (64.6%) underwent a low-intensity procedure and 121 (35.4%) underwent a high-intensity procedure. Mean postoperative opioid prescription fills were greater in the high- versus low-intensity group (9.0 vs. 5.7; P <0.001), as were the mean total days' supply (158.9 vs. 81.8; P <0.001). Median morphine milligram equivalents (MMEs) were not significantly different (40.2 vs. 42.7; P =0.287). Of the cohort, 26.3% were chronic opioid users after surgery. Adjusted rates of long-term opioid use were not different between groups when only accounting for prior opioid use but significantly higher for the high-intensity group when adjusting for surgical complications (OR=2.08; 95% CI 1.09-3.97). Of the entire cohort, 52.5% was still filling opioid prescriptions after 6 months. Higher-intensity procedures were associated with greater postoperative opioid use than lower-intensity procedures. Chronic opioid use was not significantly different between surgical intensity groups when considering only prior opioid use. Chronic opioid use was significantly higher among higher intensity procedures when accounting for surgical complications. The presence of surgical complications is a stronger predictor of postsurgical long-term opioid use in high-intensity surgeries than history of opioid use alone. Level III.

Prescribers of opioids for head and neck cancer (HNC) survivors.

12085 Background: Older HNC survivors often experience post-treatment pain, and they have concerningly high rates of unsafe opioid prescribing per CDC guidelines (e.g., high doses, concurrent benzodiazepines). Because interventions to improve opioid safety should target providers who prescribe opioids to HNC survivors, we aimed to identify post-treatment opioid prescriber specialty. Methods: Using the national linked Surveillance, Epidemiology, and End Results (SEER) registry and Medicare claims data, we identified adults age &gt;65 diagnosed 2014-2017 with stage I-III HNC and who had ≥6 months treatment-free follow-up prior to censoring at further treatment, new cancer, hospice, death, or end 2019. Each opioid fill was assigned to a prescriber specialty: oncology (medical, radiation), surgery, primary care (internal medicine, family practice, geriatrics), pain, or other. Prescriber patterns (number of fills, duration of fill, annual opioid receipt) were summarized across follow-up and stratified by year. Multinomial logistic regression models captured trends in prescribing, accounting for clinical and sociodemographic characteristics. Results: Among 5547 HNC survivors, 2951 (53%) had ≥1 opioid fill (median 2.1 years follow-up). Primary care providers (PCPs) prescribed 49% of all fills (46%-53% each year). PCPs prescribed opioids to 49% of survivors with ≥1 opioid fill, a greater share than other specialties. PCPs prescribed longer supplies of opioids (median 30 days/fill and median 45 days/year) than oncologists or surgeons. The likelihood of an opioid being prescribed by an oncologist or surgeon was ≥5 times lower than by a PCP. Over follow-up, rates of opioid prescribing by oncologists decreased relative to rates of prescribing by PCPs (Table). Conclusions: Primary care involvement in opioid prescribing remains high over post-treatment HNC survivorship. Interventions to address unsafe opioid prescribing for HNC survivors should target the primary care setting, as is typical for opioid-reduction efforts in the non-cancer population. [Table: see text]

Social Determinants of Long-Term Opioid Use Following Total Knee Arthroplasty.

Total knee arthroplasty (TKA) risks persistent pain and long-term opioid use (LTO). The role of social determinants of health (SDoH) in LTO is not well established. We hypothesized that SDoH would be associated with postsurgical LTO after controlling for relevant demographic and clinical variables. This study utilized data from the Veterans Affairs Surgical Quality Improvement Program, VA Corporate Data Warehouse, and Centers for Medicare and Medicaid Services, including Veterans aged ≥ 65 who underwent elective TKA between 2013 and 2019 with no postsurgical complications or history of significant opioid use. LTO was defined as > 90 days of opioid use beginning within 90 days postsurgery. SDoH variables included the Area Deprivation Index, rurality, and housing instability in the last 12 months identified via medical record screener or International Classification of Diseases, Tenth Revision codes. Multivariable risk adjustment models controlled for demographic and clinical characteristics. Of the 9,064 Veterans, 97% were male, 84.2% white, mean age was 70.6 years, 46.3% rural, 11.2% living in highly deprived areas, and 0.9% with a history of homelessness/housing instability. Only 3.7% (n = 336) developed LTO following TKA. In a logistic regression model of only SDoH variables, housing instability (odds ratio [OR] = 2.38, 95% confidence interval [CI]: 1.09-5.22) and rurality conferred significant risk for LTO. After adjusting for demographic and clinical variables, LTO was only associated with increasing days of opioid supply in the year prior to surgery (OR = 1.52, 95% CI: 1.43-1.63 per 30 days) and the initial opioid fill (OR = 1.07; 95% CI: 1.06-1.08 per day). Our primary hypothesis was not supported; however, our findings do suggest that patients with housing instability may present unique challenges for postoperative pain management and be at higher risk for LTO.

Opioid Use Among Children and Adults With Sickle Cell Disease in North Carolina Medicaid Enrollees in the Era of Opioid Harm Reduction.

Adults and children with sickle cell disease (SCD) are predominantly African American, with pain-related health disparities. We examined opioid prescription fill patterns in adults and children with SCD and compared factors associated with fills in North Carolina Medicaid enrollees. Our retrospective cohort study included 955 enrollees diagnosed with SCD having at least one opioid fill. Associations were measured between two cohorts (12 and 24 mo of continuous enrollment) for the following characteristics: sex, age, enrollee residence, hydroxyurea adherence, comanagement, enrollment in Community Care North Carolina, prescription for short versus short and long-acting opioids, and emergency department reliance. The majority of individuals did not have an opioid claim over a 12 or 24-month period. Claims increased at ages 10 to 17, peaking at ages 18 to 30. The increased number of claims was associated with the following factors: increasing age, male, short versus long-acting opioids, and Medicaid enrollment for 24 versus 12 months. Community Care North Carolina enrollees in the 12-month cohort had higher opioid days of supply per month; the inverse was true of the 24-month cohort.

The Association of Preoperative Opioid Use with Post-Discharge Outcomes: A Cohort Study of the Michigan Surgical Quality Collaborative.

To examine the association of prescription opioid fills over the year prior to surgery with postoperative outcomes. Nearly one third of patients report opioid use in the year preceding surgery, yet an understanding of how opioid exposure influences patient-reported outcomes after surgery remains incomplete. Therefore, this study was designed to test the hypothesis that preoperative opioid exposure may impede recovery in the postoperative period. This retrospective cohort study used a statewide clinical registry from 70 hospitals linked to opioid fulfillment data from the state's prescription drug monitoring program to categorize patients' preoperative opioid exposure as none (naïve), minimal, intermittent, or chronic. Outcomes were patient-reported pain intensity (primary), as well as 30-day clinical and patient-reported outcomes (secondary). Compared to opioid-naïve patients, opioid exposure was associated with higher reported pain scores at 30 days after surgery. Predicted probabilities was higher among the opioid exposed versus naive group for reporting moderate pain (43.5% [95% CI 42.6 - 44.4%] vs 39.3% [95% CI 38.5 - 40.1%]) and severe pain (13.% [95% CI 12.5 - 14.0%] vs 10.0% [95% CI 9.5 - 10.5%]), and increasing probability was associated increased opioid exposure for both outcomes. Clinical outcomes (incidence of ED visits, readmissions, and reoperation within 30-days) and patient-reported outcomes (reported satisfaction, regret, and quality of life) were also worse with increasing preoperative opioid exposure for most outcomes. This study is the first to examine the effect of presurgical opioid exposure on both clinical and non-clinical outcomes in a broad cohort of patients, and shows that exposure is associated with worse postsurgical outcomes. A key question to be addressed is whether and to what extent opioid tapering before surgery mitigates these risks after surgery.

Racial and Ethnic Disparities in Opioid Prescribing on Hospital Discharge Among Older Adults: A National Retrospective Cohort Study.

Disparities in opioid prescribing among racial and ethnic groups have been observed in outpatient and emergency department settings, but it is unknown whether similar disparities exist at discharge among hospitalized older adults. To determine filled opioid prescription rates on hospital discharge by race/ethnicity among Medicare beneficiaries. Retrospective cohort study. Medicare beneficiaries 65 years or older discharged from hospital in 2016, without opioid fills in the 90 days prior to hospitalization (opioid-naïve). Race/ethnicity was categorized by the Research Triangle Institute (RTI), grouped as Asian/Pacific Islander, Black, Hispanic, other (American Indian/Alaska Native/unknown/other), and White. The primary outcome was an opioid prescription claim within 2 days of hospital discharge. The secondary outcome was total morphine milligram equivalents (MMEs) among adults with a filled opioid prescription. Among 316,039 previously opioid-naïve beneficiaries (mean age, 76.8 years; 56.2% female), 49,131 (15.5%) filled an opioid prescription within 2 days of hospital discharge. After adjustment, Black beneficiaries were 6% less likely (relative risk [RR] 0.94, 95% CI 0.91-0.97) and Asian/Pacific Islander beneficiaries were 9% more likely (RR 1.09, 95% CI 1.03-1.14) to have filled an opioid prescription when compared to White beneficiaries. Among beneficiaries with a filled opioid prescription, mean total MMEs were lower among Black (356.9; adjusted difference - 4%, 95% CI - 7 to - 1%), Hispanic (327.0; adjusted difference - 7%, 95% CI - 10 to - 4%), and Asian/Pacific Islander (328.2; adjusted difference - 8%, 95% CI - 12 to - 4%) beneficiaries when compared to White beneficiaries (409.7). Black older adults were less likely to fill a new opioid prescription after hospital discharge when compared to White older adults and received lower total MMEs. The factors contributing to these differential prescribing patterns should be investigated further.

Association between trajectories of prescription opioid use and risk of opioid use disorder and overdose among US nonmetastatic breast cancer survivors.

To examine the association between prescription opioid use trajectories and risk of opioid use disorder (OUD) or overdose among nonmetastatic breast cancer survivors by treatment type. This retrospective cohort study included female nonmetastatic breast cancer survivors with at least 1 opioid prescription fill in 2010-2019 Surveillance, Epidemiology and End Results linked Medicare data. Opioid mean daily morphine milligram equivalents (MME) calculated within 1.5years after initiating active breast cancer therapy. Group-based trajectory models identified distinct opioid use trajectory patterns. Risk of time to first OUD/overdose event within 1year after the trajectory period was calculated for distinct trajectory groups using Cox proportional hazards models. Analyses were stratified by treatment type. Four opioid use trajectories were identified for each treatment group. For 38,030 survivors with systemic endocrine therapy, 3 trajectories were associated with increased OUD/overdose risk compared with early discontinuation: minimal dose (< 5 MME; adjusted hazard ratio [aHR] = 1.73 [95% CI 1.43-2.09]), very low dose (5-25 MME; 2.67 [2.05-3.48]), and moderate dose (51-90 MME; 6.20 [4.69-8.19]). For 9477 survivors with adjuvant chemotherapy, low-dose opioid use was associated with higher OUD/overdose risk (aHR = 7.33 [95% CI 2.52-21.31]) compared with early discontinuation. For 3513 survivors with neoadjuvant chemotherapy, the differences in OUD/OD risks across the 4 trajectories were not significant. Among Medicare nonmetastatic breast cancer survivors receiving systemic endocrine therapy or adjuvant chemotherapy, compared with early discontinuation, low-dose or moderate-dose opioid use were associated with six- to sevenfold higher OUD/overdose risk. Breast cancer survivors at high-risk of OUD/overdose may benefit from targeted interventions (e.g., pain clinic referral).

Prescription drug monitoring program use by opioid prescribers: a cross-sectional study.

Clinician use of prescription drug monitoring programs (PDMPs) has been linked to better patient outcomes, but state requirements to use PDMPs are unevenly enforced. We assessed PDMP use in Minnesota, which requires opioid prescribers to hold accounts and, in most cases, search the PDMP before prescribing, but where enforcement authority is limited. Using 2023 PDMP data, we found that 4 in 10 opioid prescribers did not search and 2 in 10 did not hold an account. PDMP use was strongly associated with prescribing volume, but even among the top decile of opioid prescribers, 8% never searched the PDMP. Thirty-two percent of opioid fills came from clinicians who did not search the PDMP. Failures to use the PDMP may be driven by a lack of information about state requirements, beliefs that these requirements are not enforced, and the costs of accessing the PDMP relative to the benefits. These results highlight the potential for policy makers to promote safer and better-informed prescribing of opioids and other drugs by addressing the forces that have limited PDMP use so far.

Factors that impact initiation of pain management agreements for patients on chronic opioid therapy.

This analysis seeks to understand variables within our institution that impact pain management agreement (PMA) utilization for chronic noncancer pain (CNCP). Retrospective chart review. Public academic medical center. Adults prescribed an opioid for CNCP between July 2020 and October 2020. We assessed the association between patient demographics, prescription factors, and prescriber factors with the presence of a PMA. Unadjusted rates and chi-square tests were generated for each predictor. Additionally, we performed two multivariable logistic regressions: one including all variables and another utilizing a stepwise forward variable selection process to further understand the relationships between predictors and the presence of a PMA. 49.7 percent of patients who received an opioid for CNCP had a PMA on file. One significant predictor of the presence of PMA was prescriber specialty with anesthesia/pain medicine, demonstrating 88 percent compliance. Compared to anesthesia/pain medicine, patients receiving opioids from internal medicine had an odds ratio (OR) of 0.155 (95 percent confidence interval (CI), 0.109-0.220), while patients receiving opioids from family medicine had an OR of 0.122 (95 percent CI, 0.090-0.167). Additionally, patients who received schedule II opioids (as opposed to schedule III/IV opioids), patients with multiple opioid fills in 3 months, middle aged patients, and Black patients were more likely to have a PMA. Compliance with PMA within our institution was only 49 percent despite an existing state law mandating use. Our analysis suggests quality improvement interventions should target patients on schedule III/IV opioids who receive their prescriptions from primary care providers.

Appendectomy Pain Medication Prescribing Variation inthe U.S. Military Health System.

Post-appendectomy opioid prescription practices may vary widely across and within health care systems. Although guidelines encourage conservative opioid prescribing and prescribing of non-opioid pain medications, the variation of prescribing practices and the probability of opioid refill remain unknown in the U.S. Military Health System. This retrospective observational cohort study evaluated medical data of 11,713 patients who received an appendectomy in the Military Health System between January 2016 and June 2021. Linear-mixed and generalized linear-mixed models evaluated the relationships between patient-, care-, and system-level factors and the two primary outcomes; the morphine equivalent dose (MED) at hospital discharge; and the probability of 30-day opioid prescription refill. Sensitivity analyses repeated the generalized linear-mixed model predicting the probability of opioid (re)fill after an appendectomy, but with inclusion of the full sample, including patients who had not received a discharge opioid prescription (e.g., 0 mg MED). Discharge MED was twice the recommended guidance and was not associated with opioid refill. Higher discharge MED was associated with opioid/non-opioid combination prescription (+38 mg) relative to opioid-only, lack of non-opioid prescribing at discharge (+6 mg), care received before a Defense Health Agency opioid safety policy was released (+61 mg), documented nicotine dependence (+8 mg), and pre-appendectomy opioid prescription (+5 mg) (all P < .01). Opioid refill was more likely for patients with complicated appendicitis (OR = 1.34; P < .01); patients assigned female (OR = 1.25, P < .01); those with a documented mental health diagnosis (OR = 1.32, P = .03), an antidepressant prescription (OR = 1.84, P < .001), or both (OR = 1.54, P < .001); and patients with documented nicotine dependence (OR = 1.53, P < .001). Opioid refill was less likely for patients who received care after the Defense Health Agency policy was released (OR = 0.71, P < .001), were opioid naive (OR = 0.54, P < .001), or were Asian or Pacific Islander (relative to white patients, OR = 0.68, P = .04). Results from the sensitivity analyses were similar to the main analysis, aside from two exceptions. The probability of refill no longer differed by race and ethnicity or mental health condition only. Individual prescriber practices shifted with new guidelines, but potentially unwarranted variation in opioid prescribing dose remained. Future studies may benefit from evaluating patients' experiences with pain management, satisfaction, and patient-centered education after appendectomy within the context of opioid prescribing practices, amount of medications used, and refill probability. Such could pave a way for standardized patient-centered procedures that both decrease unwarranted prescribing pattern variability and optimize pain management regimens.

The role of primary care in opioid prescribing for head and neck cancer (HNC) survivors.

480 Background: Older HNC survivors often experience post-treatment pain, and they have concerningly high rates of unsafe opioid prescribing (e.g., high doses, concurrent benzodiazepines). Interventions to improve opioid safety should target providers who prescribe opioids to HNC survivors. We hypothesized that oncologists were responsible for most opioid prescribing to HNC survivors, but that involvement of primary care providers (PCPs) as prescribers increased over time after treatment. Methods: Using linked Surveillance, Epidemiology, and End Results (SEER) registry and Medicare claims data, we identified adults age &gt;65 diagnosed 2014-2017 with stage I-III HNC with ≥6 months treatment-free follow-up prior to censoring at further treatment, new cancer, hospice, death, or end 2019. Starting 1 month after treatment completion, all opioid fills were assigned to a prescriber specialty: oncology (medical, radiation, surgical), surgery, primary care (internal medicine, family practice, geriatrics), pain, or other. Prescriber patterns were summarized at the fill and patient levels for each year of follow-up. Results: Among 5494 HNC survivors with median 2.1 years of treatment-free follow-up, 3092 (56%) had ≥1 opioid fill. At the fill level, almost half of all opioids (47%) were dispensed in the first year after treatment completion, with fewer fills each subsequent year. Contrary to our hypothesis, only 9% of all fills were prescribed by oncologists. Half of all fills were prescribed by PCPs; 14% were prescribed by pain specialists and 9% by surgeons. At the patient level, on average, each survivor had 34% of their opioid fills prescribed by primary care providers, followed by 24% by surgeons and 10% by oncologists. The proportion of survivors’ fills prescribed by PCPs remained high (36%-42% of each survivor’s fills) across all years, while proportion of each survivor’s fills prescribed by oncologists declined from 14% to 2% over years of follow-up. (See Table). Conclusions: PCPs prescribe a greater proportion of HNC survivors’ opioids than oncologists and surgeons combined. While oncologists’ and surgeons’ role as opioid prescribers declines over time, primary care involvement in opioid prescribing remains high throughout survivorship, suggesting that PCPs manage cancer-related pain, non-cancer pain is prevalent after HNC, or both. Interventions to address unsafe opioid use among HNC survivors should target the primary care setting, as is typical for opioid-reduction efforts in the non-cancer population.[Table: see text]

Association of race and ethnicity with opioid prescribing for Medicare beneficiaries following total joint replacements.

Profound racial and ethnic disparities exist in the use and outcomes of total hip/knee replacements (total joint replacements [TJR]). Whether similar disparities extend to post-TJR pain management remains unknown. Our objective is to examine the association of race and ethnicity with opioid fills following elective TJRs for White, Black, and Hispanic Medicare beneficiaries. We used the 2019 national Medicare data to identify beneficiaries who underwent total hip/knee replacements. Primary outcomes were at least one opioid fill in the period from discharge to 30 days post-discharge, and 31-90 days following discharge. Secondary outcomes were morphine milligram equivalent per day and number of opioid fills. Key independent variable was patient race-ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic). We estimated multivariable hierarchical logistic regressions and two-part models with state-level clustering. Among 67,550 patients, 93.36% were White, 3.69% were Black, and 2.95% were Hispanic. Compared to White patients, more Black patients and fewer Hispanic patients filled an opioid script (84.10% [Black] and 80.11% [Hispanic] vs. 80.33% [White], p < 0.001) in the 30-day period. On multivariable analysis, Black patients had 18% higher odds of filling an opioid script in the 30-day period (odds ratio [OR]: 1.18, 95% confidence interval [CI]: 1.05-1.33, p = 0.004), and 39% higher odds in the 31-90-day period (OR: 1.39, 95% CI: 1.26-1.54, p < 0.001). There were no significant differences in the endpoints between Hispanic and White patients in the 30-day period. However, Hispanic patients had 20% higher odds of filling an opioid script in the 31- to 90-day period (OR: 1.20, 95% CI: 1.07-1.34, p = 0.002). Important race- and ethnicity-based differences exist in post-TJR pain management with opioids. The mechanisms leading to the higher use of opioids by racial/ethnic minority patients need to be carefully examined.

State Laws That Require Coprescribing Opioids and Naloxone and Codispensing Practices

Coprescribing naloxone with opioids could reduce the risk of overdose. By the end of 2020, 8 U.S. states implemented coprescribing laws requiring the prescription of naloxone alongside certain opioid prescriptions. This study examined the impacts of state laws that require coprescribing opioids and naloxone on codispensing practices. Data included opioid prescriptions for commercially insured adults between 2014 and 2020. Augmented synthetic control analyses were used to examine the impacts of 8 coprescribing requirement laws implemented between 2017 and 2020 on the proportion of opioid prescription fills with a naloxone coprescription fill. Analyses were completed in spring 2023. Changes in the proportion of opioid prescription fills with a naloxone coprescription fill attributable to the laws varied across states. In 4 states (New Jersey, New Mexico, Rhodes Island, and Virginia), laws were associated with 0.8 (95% CI=0.3, 1.3) to 4.4 (95% CI=3.4, 5.4) percentage point increases in the proportion of opioid prescriptions with a naloxone coprescription fill (p<0.05). There were no statistically significant changes attributable to the other state laws (Arizona, Florida, Vermont, Washington). Laws requiring coprescribing naloxone with certain opioid prescriptions are associated with small-in-magnitude increases in codispensing in some states. Broadening the categories of opioid prescriptions covered in naloxone coprescribing requirement laws and implementing health system strategies to encourage providers to coprescribe naloxone could help to magnify the impacts of these laws.

Feasibility and preliminary efficacy of the Balance Program to reduce pain-related disability in pediatric sickle cell disease.

Sickle cell disease (SCD) pain is associated with functional impairment, and treatment is often limited to pharmacological approaches with unwanted side effects. Although behavioral interventions exist for non-SCD pain populations, interventions designed to address pain-related impairment in SCD are lacking. Twenty youth (9-17 years) with SCD completed a four-week telemedicine pain intervention (NCT04388241). Participants and caregivers completed baseline and post-intervention PROMIS pain measures and the Treatment Evaluation Inventory-Short Form (TEI-SF). Descriptive analyses assessed feasibility and acceptability. Reliable Change Index analyses assessed for significant post-intervention changes in pain functioning. Paired t test analyses compared baseline and post-intervention opioid prescription fills. All participants completed at least one treatment session. Eighteen (90%) youth completed all sessions. Youth (100%) and caregivers (94%) rated the intervention as moderately or highly acceptable on the TEI-SF. Forty-seven percent of caregivers and 44% of youth reported reliably significant improvements in pain interference after the intervention (median T-score differences: 24.8 and 23.5, respectively). Sixty-five percent of caregivers (T-score improvement difference: 19.3) and 31% of youth (T-score improvement difference: 32) reported improvements in pain behaviors. There was no significant difference in opioid prescription fills pre- and post-intervention (P>0.05). The Balance Program is feasible, highly acceptable, and can be delivered remotely to reduce barriers to care. Approximately half of youth and caregivers reported significant declines in pain interference following the intervention, with substantial improvements in functioning for treatment responders. Behavioral pain interventions are important adjunctive treatments to uniquely address functional impairment associated with acute and chronic pain in SCD.