Loading [Contrib]/a11y/accessibility-menu.js
Skip to main content
null
J Orthopaedic Experience & Innovation
  • Menu
  • Articles
    • Brief Report
    • Case Report
    • Data Paper
    • Editorial
    • Hand
    • Meeting Reports/Abstracts
    • Methods Article
    • Product Review
    • Research Article
    • Review Article
    • Review Articles
    • Systematic Review
    • All
  • For Authors
  • Editorial Board
  • About
  • Issues
  • Blog
  • "Open Mic" Topic Sessions
  • Advertisers
  • Recorded Content
  • CME
  • JOEI KOL Connect
  • search

RSS Feed

Enter the URL below into your favorite RSS reader.

https://journaloei.scholasticahq.com/feed
Data Paper
Vol. 6, Issue 1, 2025February 18, 2025 EDT

Opioid Prescription Practices Among Orthopedic Surgeons: An Analysis of the Medicare Part D Database from 2013-2021

Nithin Gupta, BS, Nikhil Godbole, BS, Elliss Wahlberg, BS, Udit Dave, BS, Morgan Turnow, DO, Hunter Pharis, DO, Taylor Manes, DO, Tyler Williamson, DO, Jignesh Patel, DO,
medicareopiodsperscriptionregion
Copyright Logoccby-nc-nd-4.0 • https://doi.org/10.60118/001c.121595
J Orthopaedic Experience & Innovation
Gupta, Nithin, Nikhil Godbole, Elliss Wahlberg, Udit Dave, Morgan Turnow, Hunter Pharis, Taylor Manes, Tyler Williamson, and Jignesh Patel. 2025. “Opioid Prescription Practices Among Orthopedic Surgeons: An Analysis of the Medicare Part D Database from 2013-2021.” Journal of Orthopaedic Experience & Innovation 6 (1). https:/​/​doi.org/​10.60118/​001c.121595.
Save article as...▾
Download all (3)
  • Click here : https://joeipub.com/learning
    Download
  • Figure 1A. Heatmap visualization of the total number of claims per surgeon in 2019 for the top 10 opioids in the United States.
    Download
  • Figure 1B. Heatmap visualization of the total number of beneficiaries per surgeon in 2019 for the top 10 opioids in the United States.
    Download

Sorry, something went wrong. Please try again.

If this problem reoccurs, please contact Scholastica Support

Error message:

undefined

View more stats

Abstract

Introduction

Orthopedic surgeons have historically been identified as one of the most frequent prescribing specialties for opioid medications. Although there are indications for the short-term use of opioids post-operatively, efforts have been made through legislature, hospital protocols, and advanced techniques, to reduce the length of time for which opioid analgesics are required.

Methods

The Medicare Part D Database (individuals 65+ years old) was queried for prescriptions made by orthopedic surgeons for the years 2013-2021. Variables of interest included total claims, number of beneficiaries, and prescription length. The top ten opioids were identified using the total claims for each opioid. The South, Northeast, West, and Midwest regions of the United States were used as defined by the US Census Bureau. Linear regression was used to determine changes in claims and prescription length over time. Z-test of proportions was used to compare changes in beneficiaries. All statistical analyses were performed using R Studio (4.2.3), with p<0.05 indicating statistical significance.

Results

In 2021, Alabama and Alaska had the highest and lowest number of total claims and claims per surgeon for the top 10 opioids, respectively. Regional analyses demonstrated the Northeast region had the largest percent decrease (-33.84%), while the South had the highest number of total claims, claims per surgeon, and beneficiaries per 10,000 people. Hydromorphone demonstrated the largest decrease in prescription length (-35.96%, p <0.001) while Oxymorphone had the largest increase (10.29%, p<0.001). Finally, Oxymorphone had the greatest percent reduction in total claims (-92.51%, p<0.001) over the study period.

Conclusion

There has been a significant reduction in opioid prescriptions by orthopedic surgeons from 2013-2021, however, certain regions, such as the South, still have relatively high prescription lengths and number of prescriptions for opioid analgesics. Further, studies should seek to identify the specific factors influencing reduced opioid prescriptions to implement these in regions in which further reductions may be necessary.

A green and black logo Description automatically generated
Click here : https://joeipub.com/learning

Introduction

Fueled by the introduction of pain as a measure of inpatient satisfaction in 1995, the impact of the opioid epidemic within the United States has been widely discussed both publicly and within the medical literature (Alexander McIntyre, Pagani, Van Schuyver, et al. 2022). When compared to global rates, the United States has been shown to account for most of the prescription opioid use worldwide (Alexander McIntyre, Pagani, Van Schuyver, et al. 2022; Manchikanti and Singh 2008). Of note, there is a large body of high-quality evidence that supports the short-term use of opioid medications for post-operative pain (Horn and Kramer 2023). Therefore, surgeons must balance avoiding under-treatment of postoperative pain with careful titration to avoid long-term use of opioids, both of which have been shown to increase mortality, morbidity, and can lead to chronic opioid use depending on the duration of the prescription (Young et al. 2021; Garimella and Cellini 2013). For orthopedic surgery specifically, pain control is highly relevant due to the nature of the surgery, many of which require extensive dissection and incidental nerve injury or irritation, followed by an immediate postoperative physical therapy regimen (Sampognaro and Harrell 2023). As such, orthopedic surgeons have historically been identified as one of the more frequent prescribers of opioid medications, accounting for 7.7% of all opioid prescriptions in 2009 and reported to be the highest of all surgical specialties in 2020 (Alexander McIntyre, Pagani, Van Schuyver, et al. 2022; Nouraee, Uzlik, Wyard, et al. 2021).

To address the improper duration of opioid prescribing practices in the United States, there have been multiple efforts at the government, state, and hospital levels (Congressional Research Service, n.d.). Studies have shown that the use of nonsteroidal anti-inflammatory drugs (NSAIDs) adjunctively with opioids can effectively control pain and reduce the need for opioids (Pham, Pickell, Yagnatovsky, et al. 2019; Murphy, Kasotakis, Haut, et al. 2023). Further, minimally invasive techniques combined with multimodal pain management protocols have demonstrated a reduction in opioid consumption by at least 50% (Siow, Mitchell, Vuong, et al. 2022; Berardino et al. 2021). These examples demonstrate some of the many continued efforts by orthopedic surgeons to minimize the length of time for which opioids are needed postoperatively. However, there remains a paucity of literature elucidating temporal and regional trends of opioid prescribing practices among orthopedic surgeons in the United States. Thus, the purpose of this study is to identify opioid medications commonly prescribed by orthopedic surgeons, and the temporal and regional trends in claims, beneficiaries, and prescription length. In doing so, this study seeks to aid in understanding the impact of prior efforts, identifying regions in which the number of prescriptions remain elevated, and guiding the creation of targeted and effective guidelines for further reductions.

Methods

Data Source and Variables of Interest

Data was obtained by querying the Medicare Part D Database, which is a free publicly available database provided by the Centers for Medicare and Medicaid Services (CMS) (Center for Medicare Medicaid Services 2021). Results were filtered by provider type to include only orthopedic surgeons and were obtained for the years 2013-2021. Data from 2022-present has not yet been provided by the Center of Medicare and Medicaid Services. Regions used for statistical analysis were used as defined by the United States Census Bureau: South, Northeast, West, and Midwest (U.S. Census Bureau, n.d.). Populations for each region were calculated using state-level data provided by the United States Census. Variables of interest for prescriptions include total claims, number of beneficiaries, number of beneficiaries over 65, NPI number of each surgeon, and length of prescription. As this data contains non-identifiable patient information and is free/publicly available, no institutional review board approval was needed.

Descriptive Data

The top 10 opioids prescribed by orthopedic surgeons over the study period were the focus of this analysis. The total number of claims for each drug was calculated, which included the total number of prescriptions and refills. To determine the mean length of prescriptions, the total day supply of each drug was divided by the total claims count for that drug. The number of claims per surgeon was calculated by determining the total number of unique NPI numbers of prescribers for each drug and dividing this by the total number of claims. The total number of beneficiaries and number of beneficiaries over 65 years of age was also calculated for 2013-2021. Values for beneficiaries were represented as the proportion of the total pool of beneficiaries or beneficiaries over 65 for the respective year.

Statistical Analysis

To determine if the change in the number of claims for each of the top 10 opioids prescribed by orthopedic surgeons over the study period was statistically significant, linear regression analysis was used. Prior to statistical analysis, total claims were normalized to the total pool for the top 10 opioids to remove bias produced by differences in total prescriptions per year. This approach was used for individual opioid analysis and to determine the significance of prescribing practice within each region for all opioids over the study period. Linear regression analysis was used to determine the significance of changes in prescription length. For total beneficiaries and beneficiaries over the age of 65, statistical analysis to determine if significant changes in the proportion of beneficiaries in 2013 and 2021 were performed using a Z-Test of proportions. All statistics were performed as using R Studio (4.2.3) and p<0.05 was used to indicate statistical significance (RStudio Team 2020; Singh, Meyer, Doan, et al. 2021).

Results

Current and Temporal Trends in Opioid Prescriptions Analyzed from 2013-2021

Analysis of the Medicare database from 2013-2021 revealed that the top 10 most prescribed opioids by orthopedic surgeons in the United States were: hydrocodone, oxycodone, tramadol, codeine, hydromorphone, morphine, fentanyl, methadone, oxymorphone, and buprenorphine. When the top 10 opioids were pooled for 2021, the state with the lowest number of claims per surgeon was Alaska (101 claims per surgeon) and Alabama had the highest number of claims per surgeon (729 claims per surgeon). The average number of claims per surgeon within the United States during 2021 was 278 ± 139 (median: 237.36, IQR: 166.47-327.52) claims per surgeon. For 2021 beneficiaries, Alaska reported the lowest number of beneficiaries of the top 10 opioids per surgeon (10 beneficiaries per surgeon) and Florida reported the highest number of beneficiaries (63 beneficiaries per surgeon). The average number of beneficiaries per surgeon in the United States for 2021 was 38 ± 11 (median: 37.33, IQR: 31.13-45.56) beneficiaries per surgeon. These results are visually represented in Figure 1A-B.

A map of the united states Description automatically generated
Figure 1A.Heatmap visualization of the total number of claims per surgeon in 2019 for the top 10 opioids in the United States.
A map of the united states Description automatically generated
Figure 1B.Heatmap visualization of the total number of beneficiaries per surgeon in 2019 for the top 10 opioids in the United States.

Temporal trends were also analyzed for each included drug from 2013-2021 (Table 1). For all years, Hydrocodone and Oxycodone had the first and second-highest total number of claims, respectively. From 2013-2015, Buprenorphine had the lowest number of total claims and from 2016-2021, Oxymorphone had the lowest number of total claims. Of the top 10 opioids, all except for Tramadol, Codeine, and Buprenorphine, demonstrated a decrease in percent change from 2013-2021. Oxymorphone had the greatest percent decrease over the study period (-92.51%), followed by Methadone and Fentanyl (-73.61% and -67.82%, respectively). Buprenorphine had the greatest increase in total claims (185.62%). Finally, linear regression analysis demonstrated that the change in total claims for each opioid increased significantly for Oxycodone and Buprenorphine while all other opioids (except Codeine (p= 0.086) and Morphine (p = 0.177) decreased significantly.

Table 1.Percent change from 2013-2019 of the total claims per year for the top 10 opioids and linear regression analysis for significance.
Opioid Name 2013 2014 2015 2016 2017 2018 2019 2020 2021 Percent Change (%) P-Value
Hydrocodone 1907947 1728665 1303242 1209572 1080883 939575 845749 765496 769541 -59.67 0.001
Oxycodone 661586 730557 845179 848904 800137 721005 676479 633120 682916 3.22 0.002
Tramadol 541952 588473 610024 620827 600781 574894 568027 532006 514976 -4.98 6.76E-05
Codeine 68076 78432 123112 119814 109901 103299 98008 85909 72525 6.54 0.086
Hydromorphone 22012 25285 27233 27850 25661 21832 19806 19591 20396 -7.34 0.031
Morphine 16490 17376 20973 21317 20157 14744 10818 8810 7237 -56.11 0.177
Fentanyl 7257 7252 7875 7207 5628 3851 2638 2462 2335 -67.82 0.002
Methadone 4002 3476 3586 2850 2174 1675 1204 1109 1056 -73.61 3.31E-05
Oxymorphone 1750 2076 2175 1865 1130 441 426 305 131 -92.51 0.002
Buprenorphine 723 1437 2161 2338 2618 3142 3935 3441 2065 185.62 0.007
Total Claims 3231795 3183029 2945560 2862544 2649070 2384458 2227090 2052249 2073178

Trends per Region and Orthopedic Surgeon

When stratified by geographical region, the number of claims decreased across all US regions (Table 2). The Northeast had the largest percent decrease at -33.84%. The West had the lowest percent decrease at -21.79%. The South had the highest number of prescriptions with 1,563,824 prescriptions in 2013, followed by the Midwest, which had 753,855 prescriptions in 2013. The West and Northeast had the fewest number of prescriptions with 484,163 and 403,830 prescriptions respectively in 2013. To determine the significance of changes in opioid prescriptions in each region, the number of prescriptions in each region was normalized to the total number of prescriptions nationally (Table 2). The total number of prescribing surgeons and the number of prescriptions written per surgeon were calculated for each region. In 2013, the South had both the most surgeons and claims per surgeon (6,855 surgeons, and 228.13 claims per surgeon), followed by the Midwest (4351 surgeons, and 173.26 claims per surgeon), the West (4096 surgeons, and 118.20 claims per surgeon), and finally the Northeast (3354 surgeons, and 120.40 claims per surgeon). The number of prescribing surgeons and the number of prescriptions written per surgeon decreased in all regions by 2021. The South was still at the highest at 6381 surgeons and 171.50 claims per surgeon, followed by the Midwest (3648 surgeons and 127.74 claims per surgeon), the West (3316 surgeons and 92.45 claims per surgeon), and the Northeast (2391 claims and 79.66 claims per surgeon). The total number of beneficiaries and the ratio per capita and per surgeon were calculated by region and year (Table 3). The South had both the highest number of beneficiaries per 10,000 people and per surgeon in 2013. This was followed by the Midwest and the Northeast. The West had the least number of beneficiaries per 10,000 people and per surgeon in 2013. The order remained the same in 2021 with the West notably surpassing the Northeast in beneficiaries per 10,000 people and per surgeon.

Table 2.Number of Prescriptions by region, number of surgeons per region, number of prescriptions per surgeon by region, and percent change from 2013-2021 of the top 10 opioids.
Region Total Prescriptions (N, 2013) Total Prescriptions (N, 2021) P-Value (Change in prescriptions 2013-2021) Surgeons (N, 2013) Surgeons (N, 2021) Claims per Surgeon (2013) Claims per Surgeon (2021) Percent Change 2013-2021 (%)
Midwest 753855 466002 P<0.001 4351 3648 173.26 127.74 -26.27
Northeast 403830 190475 P<0.001 3354 2391 120.40 79.66 -33.84
South 1563824 1094311 P<0.001 6855 6381 228.13 171.50 -24.83
West 484163 306549 P<0.001 4096 3316 118.20 92.45 -21.79
Table 3.Total number of beneficiaries, the ratio of beneficiaries per population and per surgeon, within each US region
2013 2021
Region Total Beneficiaries Total Population Total Surgeons Beneficiaries per 10,000 population Beneficiaries per Surgeon Total Beneficiaries Total Population Total Surgeons Beneficiaries per 10,000 population Beneficiaries per Surgeon
Midwest 344177 67560379 4351 50.94 79.10 276700 68836505 3648 40.20 75.85
Northeast 193985 55901806 3354 34.70 57.84 107435 57259257 2391 18.76 44.93
South 705826 118364400 6855 59.63 102.97 625507 127346029 6381 49.12 98.03
West 224731 74167130 4096 30.30 54.87 182073 78589763 3316 23.17 54.91

Trends in Prescription Length

Prescription length was also analyzed for the top 10 opioids from 2013-2021, as shown in Table 4. In 2013, Fentanyl had the longest prescription length (28.65 days), followed by Methadone (27.96 days). In 2021, Oxymorphone and Fentanyl had the longest prescription length (29.47 and 29.01 days, respectively). The opioid with the shortest prescription length in 2013 was Codeine (10.58 days), and in 2021 was Hydromorphone (7.73 days). Hydromorphone had the largest percent decrease in prescription length over the study period (-35.96%, p<0.001) and Oxymorphone had the greatest percent increase in prescription length (10.29%, p<0.001). Codeine, Hydrocodone, Oxycodone, and Tramadol all had significantly decreased percent change in prescription length from 2013-2021. Finally, the average prescription length in 2013 and 2021 was 19.53 ± 8.11 and 17.84 ± 9.62 days, respectively. This amounted to an average percent decrease in prescription length of -13.15% ± 14.71% (0.26 day decrease per year, p<0.001) from 2013-2021.

Table 4.Prescription length for top 10 opioids and percent change from 2013-2021
Opioid Name Prescription Length (d) 2013 Prescription Length (d) 2021 Percent Change (2013-2021) P-Value
Buprenorphine 26.58 23.00 -13.46 0.1508
Codeine 10.58 8.88 -16.06 0.0049
Fentanyl 28.65 29.07 1.45 0.1040
Hydrocodone 11.26 9.42 -16.35 0.0320
Hydromorphone 12.08 7.73 -35.96 0.0002
Methadone 27.96 27.54 -1.49 0.7110
Morphine 25.93 24.82 -4.31 0.4975
Oxycodone 12.04 8.77 -27.14 0.0007
Oxymorphone 26.72 29.47 10.29 0.0006
Tramadol 13.53 9.68 -28.47 0.0021
Mean Length of Opioid Prescription 19.53 +/- 8.11 17.84 +/- 9.62 -13.15 +/- 14.71

Trends in Opioid use by Beneficiaries

To determine whether the decrease in opioid prescriptions by orthopedic surgeons was due to a smaller population of patients receiving these drugs, the number of beneficiaries was calculated (Table 5). Hydrocodone was received by the largest number of beneficiaries in 2013 (n = 825,157) and 2021, although the number dropped by 45.7% in 2021 (n = 448,023). Oxycodone was the second most prescribed by orthopedic surgeons, with 350,156 beneficiaries in 2013, which grew significantly by 14.335% (p<0.001) to 400,352 in 2021. Buprenorphine, methadone, and oxymorphone were the least prescribed opiates within the study period. The same trends were evident within the elderly population aged 65 years and older, with hydrocodone having the highest number of beneficiaries 359,821 in 2013, followed by a significant 56.979% decrease (p<0.001) in 2021 to 154,800 beneficiaries. Oxycodone was the second most prescribed in this population, followed by Tramadol.

Table 5.Beneficiaries are normalized to total number for that year (proportion of total) *No beneficiaries in 2021 data
Drug Name Total Beneficiaries, N (%) (2013) Total Beneficiaries, N (%) (2021) % Change P-value Beneficiaries 65+, N (%) (2013) Beneficiaries 65+, N (%) (2021) % Change P-value
Oxymorphone* 257 (0.017) 0 (0.000) -100 <0.001 23 (0.004) 0 (0.000) -100 <0.001
Methadone 280 (0.019) 63 (0.005) -77.5 <0.001 14 (0.003) 13 (0.004) -7.14286 <0.001
Fentanyl 769 (0.052) 229 (0.018) -70.2211 <0.001 92 (0.019) 39 (0.011) -57.6087 <0.001
Morphine 4352 (0.293) 1724 (0.143) -60.386 <0.001 861 (0.165) 394 (0.110) -54.2393 <0.001
Hydrocodone 825157 (55.484) 448023 (37.187) -45.7045 <0.001 359821(69.088) 154800 (43.413) -56.9786 <0.001
Tramadol 266676 (17.931) 302697 (25.124) 13.5074 <0.001 64821 (12.446) 75308 (21.120) 16.1784 <0.001
Oxycodone 350156 (23.545) 400352 (33.230) 14.33532 <0.001 87315 (16.765) 111802 (31.354) 28.04444 <0.001
Hydromorphone 8124 (0.546) 10516 (0.873) 29.44362 <0.001 1142 (0.219) 2600 (0.729) 127.6708 <0.001
Codeine 31355 (2.108) 41024 (3.405) 30.83719 <0.001 6727 (1.292) 11620 (3.259) 72.73673 <0.001
Buprenorphine 68 (0.005) 171 (0.014) 151.4706 <0.001 0 (0.000) 0 (0.000) 0.000 NA

Discussion

In recent years, there has been increased awareness within the US healthcare system concerning the length of opioid prescription for postoperative pain management. Given that orthopedic surgeons have historically been among the top prescribers of opioids, the goal of this study was to understand the temporal and regional trends in prescribing practices for the most common opioids by orthopedic surgeons (Acuña et al. 2021; Hagedorn, Danilevich, and Gary 2019). The results demonstrated significant decreases in the number of claims and prescription length for the majority of opioids, with more variable trends for beneficiaries. Further, we show that total prescriptions and beneficiaries for all regions of the US declined. Significant geographic variations in opioid prescription practices over time were also identified.

Oxycodone and hydrocodone are among the most prescribed opioids in various orthopedic subspecialties (Rodgers et al. 2012; Hernandez, Parry, and Taunton 2017). Our analysis revealed similar trends in that hydrocodone and oxycodone remain the two most frequently prescribed opioids by orthopedic surgeons, however, the rates at which they are prescribed have been decreasing. These decreasing trends are mirrored by Boddapati et al., who found that from 2013 to 2016, the average number of opioid prescriptions per Medicare Part D beneficiary written by orthopedic surgeons decreased from 2.1 to 1.8, of which 47.1% were hydrocodone and 17.5% were oxycodone (Boddapati et al. 2021). Similarly, studies evaluating opioid use in upper extremity surgery and total knee arthroplasty have shown oxycodone and hydrocodone to be the most common agents used for postoperative pain. Interestingly, when evaluating these findings in other surgical fields, such as neurosurgery and general surgery, they also demonstrated similar use patterns, with oxycodone and hydrocodone among the most common (Singh, Meyer, Doan, et al. 2021; Tan, Yu, Feaman, et al. 2018). As such, these medications are efficacious across multiple surgical specialties, yet there have been clear efforts to minimize their duration of use (Burns et al. 2021; Feinberg et al. 2018; Chua, Nguyen, Brummett, et al. 2023; Clark, Allman, Rogers, et al. 2022; Lott et al. 2020).

Our results further demonstrate the progress made by orthopedic surgeons as seen in the reductions in beneficiaries, matching the results of similar studies within the literature (Acuña et al. 2021; Gormley, Gouveia, Sakha, et al. 2022; Scully, Schoenfeld, Jiang, et al. 2018). We further demonstrate an average percent decrease in prescription length of -13.15% ± 14.71% from 2013-2021, abiding with current recommendations for opioid prescription lengths of 6-15 days following a musculoskeletal surgery (Chunduri and Aggarwal 2022). A myriad of factors may play a role in these reductions, including national and state-level legislature, and institutional regulations. Importantly, there has been a recent shift towards alternative means of pain management, specifically multimodal pain control and multidisciplinary pain management protocols (Maheshwari, Avitsian, Sessler, et al. 2020). These have demonstrated effectiveness in reducing opioid consumption across orthopedic subspecialties (Elkassabany et al. 2019; Moutzouros, Jildeh, Khalil, et al. 2020; Kohring and Orgain 2017; Schieber, Guy, Seth, et al. 2019). For example, Elkassabny et al. demonstrated 45% of patients receiving multimodal pain regimens following shoulder procedures did not require breakthrough opioids (Pitchon et al. 2018).

Finally, our results demonstrate interesting regional findings that suggest the South had the highest opioid prescription volumes, prescribing surgeons, and claims per surgeon. Schieber et al. found that the states with the greatest expenditure on opioids in the year 2017 were Tennessee, Oklahoma, Delaware, and Alabama (Guo, Yedulla, Cross, et al. 2021). Likewise, Guo et al found that within the Medicare population, older male orthopedic surgeons from the Southern US prescribed the highest volume of opioids (Wyles, Hevesi, Ubl, et al. 2020). We hypothesize that high rates of opioid prescription in Southern states may be reflective of unstandardized prescription practices among surgeons. The study findings also suggest that, between 2013-2021, the most substantial decrease in claims was in the Northeast and Western US, as seen in Maine, Massachusetts, and North Dakota from 2006-2017 (Wyles, Hevesi, Ubl, et al. 2020). Thus, the steep decline in prescription in the Northeast may be due to more restrictive regulations. For example, Massachusetts moved to restrict acute pain opioid prescriptions to 7 days post-op in 2016 at a time when more than 20 states and the CDC instituted a similar guideline [39]. Therefore, future studies may focus on implementing similar guidelines in southern states.

Limitations

Our study was limited in that we did not stratify data based on orthopedic subspecialty. Future studies can compare the well-documented prescription of opioids by orthopedic trauma surgeons to the prescription of opioids among other subspecialties such as sports medicine or arthroplasty, which typically emphasize less aggressive pain control and aim to have patients return to activity as soon as possible. An additional limitation of this study is intrinsic to using a Medicare Part D database in that only patients over the age of 65 are included. Using the Medicare database provides a robust dataset with reliable measures, but it limits the generalizability of our data and entirely excludes younger patients. Lastly, opioid prescriptions are tied to a provider’s specific National Provider Identifier (NPI) number. If providers utilize residents or advanced practitioners, the number of opioid prescriptions is most likely underreported in this study.

Conclusion

Opioids are an integral part of patient management in orthopedic surgery, however, due to their addictive nature, efforts have been made across all surgical specialties to reduce their use long-term. The purpose of this study was to provide an up-to-date analysis of the opioid prescribing practices of orthopedic surgeons using the Medicare Part D database. In this study, we demonstrated an overall decrease in the number of claims and beneficiaries for opioid medications from 2013-2021. We further show reductions in prescription length. Importantly, regional differences in prescription trends are clear, with greater claims and beneficiaries in the South region. It is clear that large strides have been made in the reduction of opioid prescriptions by orthopedic surgeons, likely aided by medical advancements such as minimally invasive surgery, postoperative pain management protocols, and stringent legislation. Future studies should seek to understand the factors unique to each region that contribute to the differences shown in this study. These may be used to guide future efforts to create targeted and effective guidelines for opioid reduction in regions with greater use.

Submitted: June 18, 2024 EDT

Accepted: July 21, 2024 EDT

References

Acuña, A. J., T. K. Jella, L. T. Samuel, T. B. Cwalina, T. S. Kim, and A. F. Kamath. 2021. “A Work in Progress: National Opioid Prescription Reductions Across Orthopaedic Subspecialties in a Contemporary Medicare Sample of 5,026,911 Claims.” J Am Acad Orthop Surg Glob Res Rev 5 (5): e21.00080. https:/​/​doi.org/​10.5435/​JAAOSGlobal-D-21-00080.
Google Scholar
Alexander McIntyre, J., N. Pagani, P. Van Schuyver, et al. 2022. “Public Perceptions of Opioid Use Following Orthopedic Surgery: A Survey.” HSS J 18 (3): 328–37. https:/​/​doi.org/​10.1177/​15563316221097698.
Google Scholar
Berardino, K., A. H. Carroll, A. Kaneb, M. D. Civilette, W. F. Sherman, and A. D. Kaye. 2021. “An Update on Postoperative Opioid Use and Alternative Pain Control Following Spine Surgery.” Orthop Rev (Pavia) 13 (2): 24978. https:/​/​doi.org/​10.52965/​001c.24978.
Google Scholar
Boddapati, V., A. S. Padaki, R. A. Lehman, L. G. Lenke, W. N. Levine, and K. D. Riew. 2021. “Opioid Prescriptions by Orthopaedic Surgeons in a Medicare Population: Recent Trends, Potential Complications, and Characteristics of High Prescribers.” J Am Acad Orthop Surg 29 (5): e232–37. https:/​/​doi.org/​10.5435/​JAAOS-D-20-00612.
Google Scholar
Burns, S., R. Urman, R. Pian, and O. J. M. Coppes. 2021. “Reducing New Persistent Opioid Use After Surgery: A Review of Interventions [Published Correction Appears in Curr Pain Headache Rep. 2021 Nov 5;25(10):68].” Curr Pain Headache Rep 25 (5): 27. https:/​/​doi.org/​10.1007/​s11916-021-00943-6.
Google Scholar
Center for Medicare Medicaid Services. 2021. “Part D Prescriber Data CY 2013.” 2021. https:/​/​data.cms.gov/​provider-summary-by-type-of-service/​medicare-part-d-prescribers/​medicare-part-d-prescribers-by-provider-and-drug/​data.
Chua, K. P., T. D. Nguyen, C. M. Brummett, et al. 2023. “Changes in Surgical Opioid Prescribing and Patient-Reported Outcomes After Implementation of an Insurer Opioid Prescribing Limit.” JAMA Health Forum 4 (10): e233541. https:/​/​doi.org/​10.1001/​jamahealthforum.2023.3541.
Google Scholar
Chunduri, A., and A.K. Aggarwal. 2022. “Multimodal Pain Management in Orthopedic Surgery.” J Clin Med 11 (21): 6386. https:/​/​doi.org/​10.3390/​jcm11216386.
Google Scholar
Clark, I.C., R.D. Allman, A.L. Rogers, et al. 2022. “Multimodal Pain Management Protocol to Decrease Opioid Use and to Improve Pain Control After Thoracic Surgery.” Ann Thorac Surg 114 (6): 2008–14. https:/​/​doi.org/​10.1016/​j.athoracsur.2022.03.059.
Google Scholar
Congressional Research Service. n.d. “The Opioid Crisis in the United States: A Brief History.” Accessed December 11, 2023. https:/​/​crsreports.congress.gov/​product/​pdf/​IF/​IF12260.
Elkassabany, N. M., A. Wang, J. Ochroch, M. Mattera, J. Liu, and A. Kuntz. 2019. “Improved Quality of Recovery from Ambulatory Shoulder Surgery After Implementation of a Multimodal Perioperative Pain Management Protocol.” Pain Med 20 (5): 1012–19. https:/​/​doi.org/​10.1093/​pm/​pny152.
Google Scholar
Feinberg, A. E., T. R. Chesney, S. Srikandarajah, S. A. Acuna, R. S. McLeod, and Best Practice in Surgery Group. 2018. “Opioid Use After Discharge in Postoperative Patients: A Systematic Review.” Ann Surg 267 (6): 1056–62. https:/​/​doi.org/​10.1097/​SLA.0000000000002591.
Google Scholar
Garimella, V., and C. Cellini. 2013. “Postoperative Pain Control.” Clin Colon Rectal Surg 26 (3): 191–96. https:/​/​doi.org/​10.1055/​s-0033-1351138.
Google Scholar
Gormley, J., K. Gouveia, S. Sakha, et al. 2022. “Reduction of Opioid Use after Orthopedic Surgery: A Scoping Review.” Can J Surg 65 (5): E695–715. https:/​/​doi.org/​10.1503/​cjs.023620.
Google Scholar
Guo, E. W., N. R. Yedulla, A. G. Cross, et al. 2021. “Older, Male Orthopaedic Surgeons From Southern Geographies Prescribe Higher Doses of Post-Operative Narcotics Than Do Their Counterparts: A Medicare Population Study.” Arthrosc Sports Med Rehabil 3 (6): e1577–83. https:/​/​doi.org/​10.1016/​j.asmr.2021.06.013.
Google Scholar
Hagedorn, J. C., 2nd, M. Danilevich, and J. L. Gary. 2019. “What Orthopaedic Surgeons Need to Know: The Basic Science Behind Opioids.” J Am Acad Orthop Surg 27 (18): e831–37. https:/​/​doi.org/​10.5435/​JAAOS-D-18-00438.
Google Scholar
Hernandez, N. M., J. A. Parry, and M. J. Taunton. 2017. “Patients at Risk: Large Opioid Prescriptions After Total Knee Arthroplasty.” J Arthroplasty 32 (8): 2395–98. https:/​/​doi.org/​10.1016/​j.arth.2017.02.060.
Google Scholar
Horn, R., and J. Kramer. 2023. “Postoperative Pain Control.” In StatPearls [Internet]. Treasure Island FL: StatPearls Publishing.
Google Scholar
Kohring, J. M., and N. G. Orgain. 2017. “Multimodal Analgesia in Foot and Ankle Surgery.” Orthop Clin North Am 48 (4): 495–505. https:/​/​doi.org/​10.1016/​j.ocl.2017.06.005.
Google Scholar
Lott, A., L. H. Hutzler, J. A. Bosco 3rd, and C. M. Lajam. 2020. “Opioid Prescribing Patterns in Orthopaedic Surgery Patients: The Effect of New York State Regulations and Institutional Initiatives.” J Am Acad Orthop Surg 28 (24): 1041–46. https:/​/​doi.org/​10.5435/​JAAOS-D-20-00050.
Google Scholar
Maheshwari, K., R. Avitsian, D.I. Sessler, et al. 2020. “Multimodal Analgesic Regimen for Spine Surgery: A Randomized Placebo-Controlled Trial.” Anesthesiology 132 (5): 992–1002. https:/​/​doi.org/​10.1097/​ALN.0000000000003143.
Google Scholar
Manchikanti, L., and A. Singh. 2008. “Therapeutic Opioids: A Ten-Year Perspective on the Complexities and Complications of the Escalating Use, Abuse, and Nonmedical Use of Opioids.” Pain Physician 11 (2 Suppl): S63–88. https:/​/​doi.org/​10.36076/​ppj.2008/​11/​S63.
Google Scholar
Moutzouros, V., T. R. Jildeh, L. S. Khalil, et al. 2020. “A Multimodal Protocol to Diminish Pain Following Common Orthopedic Sports Procedures: Can We Eliminate Postoperative Opioids?” Arthroscopy 36 (8): 2249–57. https:/​/​doi.org/​10.1016/​j.arthro.2020.04.018.
Google Scholar
Murphy, P. B., G. Kasotakis, E. R. Haut, et al. 2023. “Efficacy and Safety of Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) for the Treatment of Acute Pain after Orthopedic Trauma: A Practice Management Guideline from the Eastern Association for the Surgery of Trauma and the Orthopedic Trauma Association.” Trauma Surg Acute Care Open 8 (1): e001056. https:/​/​doi.org/​10.1136/​tsaco-2022-001056.
Google Scholar
Nouraee, C. M., R. M. Uzlik, G. E. Wyard, et al. 2021. “Opioid Prescribing Practices and Quality Improvements Within an Outpatient Orthopedic Practice.” Cureus 13 (4): e14332. https:/​/​doi.org/​10.7759/​cureus.14332.
Google Scholar
Pham, H., M. Pickell, M. Yagnatovsky, et al. 2019. “The Utility of Oral Nonsteroidal Anti-Inflammatory Drugs Compared With Standard Opioids Following Arthroscopic Meniscectomy: A Prospective Observational Study.” Arthroscopy 35 (3): 864-870.e1. https:/​/​doi.org/​10.1016/​j.arthro.2018.09.018.
Google Scholar
Pitchon, D. N., A. C. Dayan, E. S. Schwenk, J. L. Baratta, and E. R. Viscusi. 2018. “Updates on Multimodal Analgesia for Orthopedic Surgery.” Anesthesiol Clin 36 (3): 361–73. https:/​/​doi.org/​10.1016/​j.anclin.2018.05.001.
Google Scholar
Rodgers, J., K. Cunningham, K. Fitzgerald, and E. Finnerty. 2012. “Opioid Consumption Following Outpatient Upper Extremity Surgery.” J Hand Surg Am 37 (4): 645–50. https:/​/​doi.org/​10.1016/​j.jhsa.2012.01.035.
Google Scholar
RStudio Team. 2020. RStudio: Integrated Development for R. Boston, MA: RStudio, PBC. http:/​/​www.rstudio.com/​.
Google Scholar
Sampognaro, G., and R. Harrell. 2023. “Multimodal Postoperative Pain Control After Orthopaedic Surgery.” In StatPearls. Treasure Island, FL: StatPearls Publishing.
Google Scholar
Schieber, L. Z., G. P. Guy Jr., P. Seth, et al. 2019. “Trends and Patterns of Geographic Variation in Opioid Prescribing Practices by State, United States, 2006-2017 [Published Correction Appears in JAMA Netw Open. 2019 May 3;2(5):E194307].” JAMA Netw Open 2 (3): e190665. https:/​/​doi.org/​10.1001/​jamanetworkopen.2019.0665.
Google Scholar
Scully, R. E., A. J. Schoenfeld, W. Jiang, et al. 2018. “Defining Optimal Length of Opioid Pain Medication Prescription After Common Surgical Procedures.” JAMA Surg 153 (1): 37–43. https:/​/​doi.org/​10.1001/​jamasurg.2017.3132.
Google Scholar
Singh, R., B. M. Meyer, M. K. Doan, et al. 2021. “Opioid Prescription Practices of Neurosurgeons in the United States: An Analysis of the Medicare Database, 2013-2017.” Neurosurgery Practice 2 (4). https:/​/​doi.org/​10.1093/​neuopn/​okab034.
Google Scholar
Siow, M. Y., B. C. Mitchell, C. L. Vuong, et al. 2022. “Reduction of Opioid Consumption After Outpatient Orthopaedic Trauma Surgeries Using a Multimodal Pain Protocol.” J Am Acad Orthop Surg 30 (3): e327–35. https:/​/​doi.org/​10.5435/​JAAOS-D-20-01417.
Google Scholar
Tan, W. H., J. Yu, S. Feaman, et al. 2018. “Opioid Medication Use in the Surgical Patient: An Assessment of Prescribing Patterns and Use.” J Am Coll Surg 227 (2): 203–11. https:/​/​doi.org/​10.1016/​j.jamcollsurg.2018.04.032.
Google Scholar
U.S. Census Bureau. n.d. “Census Regions and Divisions of the United States.” Accessed November 12, 2023. https:/​/​www2.census.gov/​geo/​pdfs/​maps-data/​maps/​reference/​us_regdiv.pdf.
Wyles, C. C., M. Hevesi, D. S. Ubl, et al. 2020. “Implementation of Procedure-Specific Opioid Guidelines: A Readily Employable Strategy to Improve Consistency and Decrease Excessive Prescribing Following Orthopaedic Surgery.” JB JS Open Access 5 (1): e0050. https:/​/​doi.org/​10.2106/​JBJS.OA.19.00050.
Google Scholar
Young, J. C., N. Dasgupta, B. A. Chidgey, and M. Jonsson Funk. 2021. “Postsurgical Opioid Prescriptions and Risk of Long-Term Use: An Observational Cohort Study Across the United States.” Ann Surg 273 (4): 743–50. https:/​/​doi.org/​10.1097/​SLA.0000000000003549.
Google Scholar

This website uses cookies

We use cookies to enhance your experience and support COUNTER Metrics for transparent reporting of readership statistics. Cookie data is not sold to third parties or used for marketing purposes.

Powered by Scholastica, the modern academic journal management system