Association Between Prescription Drug Monitoring Program Use Mandate and Opioid Prescribing and Patient-Reported Outcomes After Surgery.

OBJECTIVE: To evaluate changes in opioid prescribing and patient-reported outcomes after surgery following implementation of Michigan's prescription drug monitoring program (PDMP) use mandate in June 2018. BACKGROUND: Most states mandate clinicians to query prescription drug monitoring program (PDMP) databases before prescribing controlled substances. Whether these PDMP use mandates affect opioid prescribing and patient-reported outcomes after surgery is unclear, especially among patients with elevated "Narx" scores, a risk score for overdose death used in most PDMPs. METHODS: We conducted an interrupted time series analysis of a statewide surgical registry linked to Michigan's PDMP database. Analyses included adults undergoing general surgical procedures during January 2017-October 2019. Outcomes included monthly mean days supplied in dispensed opioid prescriptions (those filled within 3 days of discharge) and monthly mean scores for 3 patient-reported outcomes (pain in the week after surgery, care satisfaction, regret undergoing surgery). Segmented regression models were used to assess for level and slope changes in outcomes in June 2018. Analyses were repeated among patients with Narx scores ≥200, a threshold that defines the top quartile. RESULTS: Analyses included 21,897 patients. The mandate was associated with a -0.5 (95% CI: -0.8, -0.2) level decrease in mean days supplied in dispensed opioid prescriptions, but not with worsened patient-reported outcomes. Findings were similar among patients with Narx scores ≥200. CONCLUSIONS: Following implementation of Michigan's PDMP use mandate, the duration of opioid prescriptions decreased, but patient-reported outcomes did not worsen. Findings suggest PDMP use mandates may not be associated with worsened experience among general surgical patients.

Perioperative Opioid-Related Harms: Opportunities to Minimize Risk.

Although substantial attention has been given to opioid prescribing in the United States, opioid-related mortality continues to climb due to the rising incidence and prevalence of opioid use disorder. Perioperative care has an important role in the consideration of opioid prescribing and the care of individuals at risk for poor postoperative pain- and opioid-related outcomes. Opioids are effective for acute pain management and commonly prescribed for postoperative pain. However, failure to align prescribing with patient need can result in overprescribing and exacerbate the flow of unused opioids into communities. Conversely, underprescribing can result in the undertreatment of pain, complicating recovery and impairing well-being after surgery. Optimizing pain management can be particularly challenging for individuals who are previously exposed to opioids or have critical risk factors, including opioid use disorder. In this review, we will explore the role of perioperative care in the broader context of the opioid epidemic in the United States, and provide considerations for a multidisciplinary, comprehensive approach to perioperative pain management and optimal opioid stewardship.

Comparison of methods to identify individuals prescribed opioid analgesics for pain.

INTRODUCTION: While identifying opioid prescriptions in claims data has been instrumental in informing best practises, studies have not evaluated whether certain methods of identifying opioid prescriptions yield better results. We compared three common approaches to identify opioid prescriptions in large, nationally representative databases. METHODS: We performed a retrospective cohort study, analyzing MarketScan, Optum, and Medicare claims to compare three methods of opioid classification: claims database-specific classifications, National Drug Codes (NDC) from the Centers for Disease Control and Prevention (CDC), or NDC from Overdose Prevention Engagement Network (OPEN). The primary outcome was discrimination by area under the curve (AUC), with secondary outcomes including the number of opioid prescriptions identified by experts but not identified by each method. RESULTS: All methods had high discrimination (AUC>0.99). For MarketScan (n=70,162,157), prescriptions that were not identified totalled 42,068 (0.06%) for the CDC list, 2,067,613 (2.9%) for database-specific categories, and 0 (0%) for the OPEN list. For Optum (n=61,554,852), opioid prescriptions not identified totalled 9,774 (0.02%) for the CDC list, 83,700 (0.14%) for database-specific categories, and 0 (0%) for the OPEN list. In Medicare claims (n=92,781,299), the number of opioid prescriptions not identified totalled 8,694 (0.01%) for the CDC file and 0 (0%) for the OPEN list. DISCUSSION: This analysis found that identifying opioid prescriptions using methods from CDC and OPEN were similar and superior to prespecified database-specific categories. Overall, this study shows the importance of carefully selecting the approach to identify opioid prescriptions when investigating claims data.

Barriers and Facilitators to Clinical Practice Development in Men and Women Surgeons.

Importance: Many early-career surgeons struggle to develop their clinical practices, leading to high rates of burnout and attrition. Furthermore, women in surgery receive fewer, less complex, and less remunerative referrals compared with men. An enhanced understanding of the social and structural barriers to optimal growth and equity in clinical practice development is fundamental to guiding interventions to support academic surgeons. Objective: To identify the barriers and facilitators to clinical practice development with attention to differences related to surgeon gender. Design, Setting, and Participants: A multi-institutional qualitative descriptive study was performed using semistructured interviews analyzed with a grounded theory approach. Interviews were conducted at 5 academic medical centers in the US between July 12, 2022, and January 31, 2023. Surgeons with at least 1 year of independent practice experience were selected using purposeful sampling to obtain a representative sample by gender, specialty, academic rank, and years of experience. Main Outcomes and Measures: Surgeon perspectives on external barriers and facilitators of clinical practice development and strategies to support practice development for new academic surgeons. Results: A total of 45 surgeons were interviewed (23 women [51%], 18 with ≤5 years of experience [40%], and 20 with ≥10 years of experience [44%]). Surgeons reported barriers and facilitators related to their colleagues, department, institution, and environment. Dominant themes for both genders were related to competition, case distribution among partners, resource allocation, and geographic market saturation. Women surgeons reported additional challenges related to gender-based discrimination (exclusion, questioning of expertise, role misidentification, salary disparities, and unequal resource allocation) and additional demands (related to appearance, self-advocacy, and nonoperative patient care). Gender concordance with patients and referring physicians was a facilitator of practice development for women. Surgeons suggested several strategies for their colleagues, department, and institution to improve practice development by amplifying facilitators and promoting objectivity and transparency in resource allocation and referrals. Conclusions and Relevance: The findings of this qualitative study suggest that a surgeon's external context has a substantial influence on their practice development. Academic institutions and departments of surgery may consider the influence of their structures and policies on early career surgeons to accelerate practice development and workplace equity.

What evidence is needed to inform postoperative opioid consumption guidelines? A cohort study of the Michigan Surgical Quality Collaborative.

INTRODUCTION: To balance adequate pain management while minimizing opioid-related harms after surgery, opioid prescribing guidelines rely on patient-reported use after surgery. However, it is unclear how many patients are required to develop precise guidelines. We aimed to compare patterns of use, required sample size, and the precision for patient-reported opioid consumption after common surgical procedures. METHODS: We analyzed procedure-specific 30-day opioid consumption data reported after discharge from 15 common surgical procedures between January 2018 and May 2019 across 65 hospitals in the Michigan Surgical Quality Collaborative. We calculated proportions of patients using no pills and the estimated number of pills meeting most patients' needs, defined as the 75th percentile of consumption. We compared several methods to model consumption patterns. Using the best method (Tweedie), we calculated sample sizes required to identify opioid consumption within a 5-pill interval and estimates of pills to meet most patients' needs by calculating the width of 95% CIs. RESULTS: In a cohort of 10,688 patients, many patients did not consume any opioids after all types of procedures (range 20%-40%). Most patients' needs were met with 4 pills (thyroidectomy) to 13 pills (abdominal hysterectomy). Sample sizes required to estimate opioid consumption within a 5-pill wide 95% CI ranged from 48 for laparoscopic appendectomy to 188 for open colectomy. The 95% CI width for estimates ranged from 0.7 pills for laparoscopic cholecystectomy to 7.0 pills for ileostomy/colostomy. CONCLUSIONS: This study demonstrates that profiles of opioid consumption share more similarities than differences for certain surgical procedures. Future investigations on patient-reported consumption are required for procedures not currently included in prescribing guidelines to ensure surgeons and perioperative providers can appropriately tailor recommendations to the postoperative needs of patients.

Cohort study of new off-label gabapentin prescribing in chronic opioid users.

INTRODUCTION: Gabapentin is commonly prescribed as an off-label adjunct to opioids because of its safer risk profile. Recent evidence has shown an increased risk of mortality when coprescribed with opioids. Therefore, we aimed to evaluate whether the addition of off-label gabapentin in patients with chronic opioid use is associated with a reduction in opioid dosage. METHODS: We performed a retrospective cohort study of patients with chronic opioid use with a new off-label gabapentin prescription (2010-2019). Our primary outcome of interest was a reduction in opioid dosage measured via oral morphine equivalents (OME) per day after the addition of a new off-label gabapentin prescription. RESULTS: In our cohort of 172,607 patients, a new off-label gabapentin prescription was associated with a decrease in opioid dosage in 67,016 patients (38.8%) (median OME/day reduction:13.8), with no change in opioid dosage in 24,468 patients (14.2%), and an increase in opioid dosage in 81,123 patients (47.0%) (median OME/day increase: 14.3). A history of substance/alcohol use disorders was associated with a decrease in opioid dosage after the addition of a new off-label gabapentin (aOR 1.20, 95% CI 1.16 to 1.23). A history of pain disorders was associated with a decrease in opioid dosage after the initiation of a new gabapentin prescription including arthritis (aOR 1.12, 95% CI 1.09 to 1.15), back pain (aOR 1.10, 95% CI 1.07 to 1.12), and other pain conditions (aOR 1.08, 95% CI 1.06 to 1.10). CONCLUSIONS: In this study of patients with chronic opioid use, an off-label gabapentin prescription did not reduce opioid dosage in the majority of patients. The coprescribing of these medications should be critically evaluated to ensure optimal patient safety.

The Association of Cannabis Use After Discharge From Surgery With Opioid Consumption and Patient-reported Outcomes.

OBJECTIVE: To compare outcomes of patients using versus not using cannabis as a treatment for pain after discharge from surgery. BACKGROUND: Cannabis is increasingly available and is often taken by patients to relieve pain. However, it is unclear whether cannabis use for pain after surgery impacts opioid consumption and postoperative outcomes. METHODS: Using Michigan Surgical Quality Collaborative registry data at 69 hospitals, we analyzed a cohort of patients undergoing 16 procedure types between January 1, 2021, and October 31, 2021. The key exposure was cannabis use for pain after surgery. Outcomes included postdischarge opioid consumption (primary) and patient-reported outcomes of pain, satisfaction, quality of life, and regret to undergo surgery (secondary). RESULTS: Of 11,314 included patients (58% females, mean age: 55.1 years), 581 (5.1%) reported using cannabis to treat pain after surgery. In adjusted models, patients who used cannabis consumed an additional 1.0 (95% CI: 0.4-1.5) opioid pills after surgery. Patients who used cannabis were more likely to report moderate-to-severe surgical site pain at 1 week (adjusted odds ratio: 1.7, 95% CIL 1.4-2.1) and 1 month (adjusted odds ratio: 2.1, 95% CI: 1.7-2.7) after surgery. Patients who used cannabis were less likely to endorse high satisfaction (72.1% vs 82.6%), best quality of life (46.7% vs 63.0%), and no regret (87.6% vs 92.7%) (all P < 0.001). CONCLUSIONS: Patient-reported cannabis use, to treat postoperative pain, was associated with increased opioid consumption after discharge from surgery that was of clinically insignificant amounts, but worse pain and other postoperative patient-reported outcomes.

Perceived Implications of Compensation Structure for Academic Surgical Practice: A Qualitative Study.

This qualitative study examines how incentive-based and salary-only compensation models affect academic surgeons.

Opioid Prescribing by US Surgeons, 2016-2022.

This cross-sectional study investigates the rate and dosing of opioid prescriptions among US surgeons from 2016 to 2022.

Association between the COVID-19 outbreak and opioid prescribing by U.S. dentists.

BACKGROUND: U.S. data on opioid prescribing by dentists are limited to 2019. More recent data are needed to understand the effect of the COVID-19 outbreak on dental opioid prescribing, characterize current practices, and determine if dental opioid stewardship initiatives are still warranted. OBJECTIVE: To evaluate the association between the COVID-19 outbreak and the rate of opioid prescribing by U.S. dentists. METHODS: During February-April 2023, the authors conducted a cross-sectional analysis of the IQVIA Longitudinal Prescription Database, which reports 92% of prescriptions dispensed in U.S. retail pharmacies. The authors calculated the monthly dental opioid dispensing rate, defined as the monthly number of dispensed opioid prescriptions from dentists per 100,000 U.S. individuals, during January 2016-February 2020 and June 2020-December 2022. To prevent distortions in trends, data from March-May 2020, when dental opioid dispensing declined sharply, were excluded. Using linear segmented regression models, the authors assessed for level and slope changes in the dental opioid dispensing rate during June 2020. RESULTS: Analyses included 81,189,605 dental opioid prescriptions. The annual number of prescriptions declined from 16,105,634 in 2016 to 8,910,437 in 2022 (-44.7%). During January 2016-February 2020, the dental opioid dispensing rate declined -3.9 (95% CI: -4.3, -3.6) per month. In June 2020, this rate abruptly increased by 31.4 (95% CI: 19.3, 43.5) and the monthly decline in the dental opioid dispensing rate slowed to -2.1 (95% CI: -2.6, -1.6) per month. As a result, 6.1 million more dental opioid prescriptions were dispensed during June 2020-December 2022 than would be predicted had trends during January 2016-February 2020 continued. DISCUSSION: U.S. dental opioid prescribing is declining, but the rate of this decline slowed after the COVID-19 outbreak. Findings highlight the continued importance of dental opioid stewardship initiatives.

Attributions and perpetrators of incivility in academic surgery.

Purpose: Although incivility has been described in other specialties, little is known about the attributes and perpetrators of it in academic surgery. The goal of this study was to identify attributes and commonly associated perpetrators of incivility experienced by trainees and faculty at academic surgery programs in the U.S. Methods: A web-based survey including the Workplace Incivility Scale (WIS) and questions regarding attributions and perpetrators of incivility was sent to trainees and faculty at academic institutions across the U.S. In addition to descriptive statistics, multivariable regression models were built to determine the impact of perpetrator type and number on overall incivility scores. Results: We received 367 of 2,661 (13.8%) responses. Top three reasons for incivility were surgery hierarchy (50.1%), respondent's gender (33.8%) and intergenerational differences (28.1%). Faculty (58.6%), patients (36.8%), and nursing staff (31.9%) were the most reported parties responsible for incivility. Female surgeons reported experiencing incivility more frequently from all three top responsible parties (i.e., faculty, patients, and nurses) when compared to other gender identities. Additionally, those who reported faculty (ß = 0.61, 95%CI 0.39-0.82) or nurses (ß = 0.23, 95%CI 0.009-0.45) as perpetrators of incivility reported an increase in overall incivility scores. Conclusions: Incivility in surgery is frequently attributed to surgery hierarchy, gender, and intergenerational differences. Surgical trainees and faculty reported that faculty, patients, and nurses were the most commonly identified as responsible for uncivil events in the surgical workforce. Exposure to a greater variety of perpetrators of incivility increases overall levels of incivility, emphasizing the importance of eliminating incivility from all sources. Supplementary Information: The online version contains supplementary material available at 10.1007/s44186-023-00129-1.

High-risk Opioid Prescribing Associated with Postoperative New Persistent Opioid Use in Adolescents and Young Adults.

OBJECTIVE: In this study, we explored which postoperative opioid prescribing practices were associated with persistent opioid use among adolescents and young adults. BACKGROUND: Approximately 5% of adolescents and young adults develop postoperative new persistent opioid use. The impact of physician prescribing practices on persistent use among young patients is unknown. METHODS: We identified opioid-naïve patients aged 13 to 21 who underwent 1 of 13 procedures (2008-2016) and filled a perioperative opioid prescription using commercial insurance claims (Optum Deidentified Clinformatics Data Mart Database). Persistent use was defined as ≥ 1 opioid prescription fill 91 to 180 days after surgery. High-risk opioid prescribing included overlapping opioid prescriptions, co-prescribed benzodiazepines, high daily prescribed dosage, long-acting formulations, and multiple prescribers. Logistic regression modeled persistent use as a function of exposure to high-risk prescribing, adjusted for patient demographics, procedure, and comorbidities. RESULTS: High-risk opioid prescribing practices increased from 34.9% to 43.5% over the study period; the largest increase was in co-prescribed benzodiazepines (24.1%-33.4%). High-risk opioid prescribing was associated with persistent use (aOR 1.235 [1.12,1.36]). Receipt of prescriptions from multiple opioid prescribers was individually associated with persistent use (aOR 1.288 [1.16,1.44]). The majority of opioid prescriptions to patients with persistent use beyond the postoperative period were from nonsurgical prescribers (79.6%). CONCLUSIONS: High-risk opioid prescribing practices, particularly receiving prescriptions from multiple prescribers across specialties, were associated with a significant increase in adolescent and young adult patients' risk of persistent opioid use. Prescription drug monitoring programs may help identify young patients at risk of persistent opioid use.

Perioperative opioid prescribing and iatrogenic opioid use disorder and overdose: a state-of-the-art narrative review.

BACKGROUND/IMPORTANCE: Considerable attention has been paid to identifying and mitigating perioperative opioid-related harms. However, rates of postsurgical opioid use disorder (OUD) and overdose, along with associated risk factors, have not been clearly defined. OBJECTIVE: Evaluate the evidence connecting perioperative opioid prescribing with postoperative OUD and overdose, compare these data with evidence from the addiction literature, discuss the clinical impact of these conditions, and make recommendations for further study. EVIDENCE REVIEW: State-of-the-art narrative review. FINDINGS: Nearly all evidence is from large retrospective studies of insurance claims and Veterans Health Administration (VHA) data. Incidence rates of new OUD within the first year after surgery ranged from 0.1% to 0.8%, while rates of overdose events ranged from 0.01% to 0.8%. Higher rates were seen among VHA patients, which may reflect differences in data completeness and/or risk factors. Identified risk factors included those related to substance use (preoperative opioid use; non-opioid substance use disorders; preoperative sedative, anxiolytic, antidepressant, and gabapentinoid use; and postoperative new persistent opioid use (NPOU)); demographic attributes (chiefly male sex, younger age, white race, and Medicaid or no insurance coverage); psychiatric comorbidities such as depression, bipolar disorder, and PTSD; and certain medical and surgical factors. Several challenges related to the use of administrative claims data were identified; there is a need for more granular retrospective studies and, ideally, prospective cohorts to assess postoperative OUD and overdose incidence with greater accuracy. CONCLUSIONS: Retrospective data suggest an incidence of new postoperative OUD and overdose of up to 0.8% during the first year after surgery, but prospective studies are lacking.

Changes in Surgical Opioid Prescribing and Patient-Reported Outcomes After Implementation of an Insurer Opioid Prescribing Limit.

Importance: Insurers are increasingly limiting the duration of opioid prescriptions for acute pain. Among patients undergoing surgery, it is unclear whether implementation of these limits is associated with changes in opioid prescribing and patient-reported outcomes, such as pain. Objective: To assess changes in surgical opioid prescribing and patient-reported outcomes after implementation of an opioid prescribing limit by a large commercial insurer in Michigan. Design, Setting, and Participants: This was a cross-sectional study with an interrupted time series analysis. Data analyses were conducted from October 1, 2022, to February 28, 2023. The primary data source was the Michigan Surgical Quality Collaborative, a statewide registry containing data on opioid prescribing and patient-reported outcomes from adults undergoing common general surgical procedures. This registry is linked to Michigan's prescription drug monitoring program database, allowing observation of opioid dispensing. The study included 6045 adults who were covered by the commercial insurer and underwent surgery from January 1, 2017, to October 31, 2019. Exposure: Policy limiting opioid prescriptions to a 5-day supply in February 2018. Main Outcomes and Measures: Among all patients, segmented regression models were used to assess for level or slope changes during February 2018 in 3 patient-reported outcomes: pain in the week after surgery (assessed on a scale of 1-4: 1 = none, 2 = minimal, 3 = moderate, and 4 = severe), satisfaction with surgical experience (scale of 0-10, with 10 being the highest satisfaction), and amount of regret regarding undergoing surgery (scale of 1-5, with 1 being the highest level of regret). Among patients with a discharge opioid prescription and a dispensed opioid prescription (prescription filled within 3 days of discharge), additional outcomes included total morphine milligram equivalents in these prescriptions, a standardized measure of opioid volume. Results: Among the 6045 patients included in the study, mean (SD) age was 48.7 (12.6) years and 3595 (59.5%) were female. Limit implementation was not associated with changes in patient-reported satisfaction or regret and was associated with only a slight level decrease in patient-reported pain score (-0.15 [95% CI, -0.26 to -0.03]). Among 4396 patients (72.7%) with a discharge and dispensed opioid prescription, limit implementation was associated with a -22.3 (95% CI, -32.8 to -11.9) and -26.1 (95% CI, -40.9 to -11.3) level decrease in monthly mean total morphine milligram equivalents of discharge and dispensed opioid prescriptions, respectively. These decreases corresponded approximately to 3 to 3.5 pills containing 5 mg of oxycodone. Conclusions: This cross-sectional analysis of data from adults undergoing general surgical procedures found that implementation of an insurer's limit was associated with modest reductions in opioid prescribing but not with worsened patient-reported outcomes. Whether these findings generalize to other procedures warrants further study.

Strengthening Association through Causal Inference.

SUMMARY: Understanding causal association and inference is critical to study health risks, treatment effectiveness, and the impact of health care interventions. Although defining causality has traditionally been limited to rigorous, experimental contexts, techniques to estimate causality from observational data are highly valuable for clinical questions in which randomization may not be feasible or appropriate. In this review, the authors highlight several methodologic options to deduce causality from observational data, including regression discontinuity, interrupted time series, and difference-in-differences approaches. Understanding the potential applications, assumptions, and limitations of quasi-experimental methods for observational data can expand our interpretation of causal relationships for surgical conditions.

Impact of state opioid laws on prescribing in trauma patients.

BACKGROUND: Excessive opioid prescribing has resulted in opioid diversion and misuse. In July 2018, Michigan's Public Act 251 established a state-wide policy limiting opioid prescriptions for acute pain to a 7-day supply. Traumatic injury increases the risk for new persistent opioid use, yet the impact of prescribing policy in trauma patients remains unknown. To determine the relationship between policy enactment and prescribing in trauma patients, we compared oral morphine equivalents prescribed at discharge before and after implementation of Public Act 251. METHODS: In this cross-sectional study, adult patients who received any oral opioids at discharge from a Level 1 trauma center between January 1, 2016, and June 30, 2021, were identified. The exposure was patients admitted starting July 1, 2018. Inpatient oral morphine equivalents per day 48 hours before discharge and discharge prescription oral morphine equivalents per day were calculated. Student's t test and an interrupted time series analysis were performed to compare mean oral morphine equivalents per day pre- and post-policy. Multivariable risk adjustment accounted for patient/injury factors and inpatient oral morphine equivalent use. RESULTS: A total of 3,748 patients were included in the study (pre-policy n = 1,685; post-policy n = 2,063). Implementation of the prescribing policy was associated with a significant decrease in mean discharge oral morphine equivalents per day (34.8 ± 49.5 vs 16.7 ± 32.3, P < .001). After risk adjustment, post-policy discharge prescriptions differed by -19.2 oral morphine equivalents per day (95% CI -21.7 to -16.8, P < .001). The proportion of patients obtaining a refill prescription 30 days post-discharge did not increase after implementation (0.38 ± 0.48 vs 0.37 ± 0.48, P = .7). CONCLUSION: Discharge prescription amounts for opioids in trauma patients decreased by approximately one-half after the implementation of opioid prescribing policies, and there was no compensatory increase in subsequent refill prescriptions. Future work is needed to evaluate the effect of these policies on the adequacy of pain management and functional recovery after injury.

Prescribed Opioid Dosages, Payer Type, and Self-Reported Outcomes After Surgical Procedures in Michigan, 2018-2020.

Importance: Collaborative quality improvement (CQI) models, often supported by private payers, create hospital networks to improve health care delivery. Recently, these systems have focused on opioid stewardship; however, it is unclear whether reduction in postoperative opioid prescribing occurs uniformly across health insurance payer types. Objective: To evaluate the association between insurance payer type, postoperative opioid prescription size, and patient-reported outcomes in a large statewide CQI model. Design, Setting, and Participants: This retrospective cohort study used data from 70 hospitals within the Michigan Surgical Quality Collaborative clinical registry for adult patients (age ≥18 years) undergoing general, colorectal, vascular, or gynecologic surgical procedures between January 1, 2018, and December 31, 2020. Exposure: Insurance type, classified as private, Medicare, or Medicaid. Main Outcomes and Measures: The primary outcome was postoperative opioid prescription size in milligrams of oral morphine equivalents (OME). Secondary outcomes were patient-reported opioid consumption, refill rate, satisfaction, pain, quality of life, and regret about undergoing surgery. Results: A total of 40 149 patients (22 921 [57.1%] female; mean [SD] age, 53 [17] years) underwent surgery during the study period. Within this cohort, 23 097 patients (57.5%) had private insurance, 10 667 (26.6%) had Medicare, and 6385 (15.9%) had Medicaid. Unadjusted opioid prescription size decreased for all 3 groups during the study period from 115 to 61 OME for private insurance patients, from 96 to 53 OME for Medicare patients, and from 132 to 65 OME for Medicaid patients. A total of 22 665 patients received a postoperative opioid prescription and had follow-up data for opioid consumption and refill. The rate of opioid consumption was highest among Medicaid patients throughout the study period (16.82 OME [95% CI, 12.57-21.07 OME] greater than among patients with private insurance) but increased the least over time. The odds of refill significantly decreased over time for patients with Medicaid compared with patients with private insurance (odds ratio, 0.93; 95% CI, 0.89-0.98). Adjusted refill rates for private insurance remained between 3.0% and 3.1% over the study period; adjusted refill rates among Medicare and Medicaid patients decreased from 4.7% to 3.1% and 6.5% to 3.4%, respectively, by the end of the study period. Conclusions and Relevance: In this retrospective cohort study of surgical patients in Michigan from 2018 to 2020, postoperative opioid prescription size decreased across all payer types, and differences between groups narrowed over time. Although funded by private payers, the CQI model appeared to have benefitted patients with Medicare and Medicaid as well.