National Long-Term Trends in Postoperative Opioid Prescribing in Ambulatory Urology Procedures.

INTRODUCTION: With more than 60% of urological procedures performed in ambulatory settings, it is imperative to understand the current trends in postoperative narcotic prescriptions and their adherence to the guidelines. We studied postoperative opioid-prescribing patterns after selected common urology ambulatory procedures. METHODS: A retrospective cohort was derived from a 10% random sample of enrollees within the IQVIA PharMetrics Plus for Academics database from 2015 to 2021. Patient-level baseline characteristics were collected in the year preceding the index date. Descriptive and bivariate analyses were used to compare patient characteristics from opioid and nonopioid cohorts and those who utilized opioids ≤ 7 days and > 7 days postprocedurally. Trends of opioid and nonopioid use were also investigated and compared. RESULTS: Between 2015 to 2021, 17,817 patients underwent urological ambulatory procedures, of which the majority (90.9%) were endoscopic procedures. Of those, 4077 (22%) were prescribed opioids and 978 (5.4%) patients were given prescription nonopioid (ie, ketorolac) medication. From 2015 to 2021, there was an overall decrease in prescription of opioids from 32% to 19%. The acute fulfillment (within 7 days of the procedure) of opioids had notably declined; however, there is a slight increase in the fulfillment of opioids beyond 7 days. CONCLUSIONS: Within the 7-day postsurgical period after ambulatory procedures, narcotic prescribing habits among urologists are congruent with current initiatives to reduce narcotic use in the setting of the opioid pandemic. However, beyond the 7-day postsurgical period, further guidelines are needed to guide narcotic prescribing habits.

Telehealth Utilization for Opioid Use Disorder: A Nationwide Analysis Before and After the COVID-19 Public Health Emergency Declaration.

Introduction: The COVID-19 pandemic has led to the rapid and widespread adoption of telehealth services. Telehealth may aid in bridging gaps in access to care. The specific impact of telehealth on opioid use disorder (OUD) and its treatment remains uncertain. Methods: A retrospective review of commercial insurance claim records within the United States was conducted to investigate the association between the COVID-19 pandemic and changes in the rates of(a) OUD treatments with and without telehealth support and (b) prescriptions for medications for opioid use disorder (MOUD) with and without telehealth support among individuals diagnosed with OUD. Results: In a study population of 1,340,506 individuals, OUD diagnosis rates were 5 per 1,000 in-person and 1 per 1,000 via telehealth. COVID-19 decreased in-person OUD diagnoses by 0.89 per 1,000, while telehealth diagnoses increased by 0.83 per 1,000. In-person MOUD treatment rates increased by 0.07 per 1,000 during COVID-19, while telehealth rates remained low. The onset of COVID-19 saw a 1.13 per 1,000 higher increase in telehealth-supported MOUD treatment compared to solely in-person treatment. Conclusions: A retrospective review of commercial insurance claim records within the United States was conducted to investigate the association between the COVID-19 pandemic and changes in the rates of (a) OUD treatments with and without telehealth support and (b) prescriptions for MOUD with and without telehealth support among individuals diagnosed with OUD.

Identifying Risk Factors for Cardiovascular Events Among Active-Duty Service Members and Veterans Prescribed Nonsteroidal Anti-Inflammatory Drugs (NSAIDs).

Background: Oral NSAIDs are widely used analgesic medications for the treatment of musculoskeletal and inflammatory conditions. NSAIDs are associated with adverse effects that arise from COX enzyme inhibition including cardiovascular events. The combined role of patient and prescription factors associated with NSAID use on cardiovascular risk is not well characterized. Objective: The purpose of this study is to identify the risk factors with cardiovascular events among NSAID users. Methods: This study is a retrospective, nested case-control study, within the DAVINCI database, among active-duty service members and veterans with at least one NSAID pharmacy claim between fiscal year (FY) 2015-FY2020. Inclusion criteria individuals ≥18 years of age received a prescription NSAID for ≥7-day supply and a duration ≥1 month overall. Cases experienced nonfatal myocardial infarction, nonfatal stroke, or new onset heart failure. Ten controls were selected per case. Risk factors were identified through logistic regression modeling. Results: The risk factors with strongest association to the primary outcome included age starting at 45 up to 75 and older, the first 90 days of NSAID exposure, cerebrovascular disease, cardiomyopathy, and history of myocardial infarction. Cox-selectivity and dose did not appear to be clinically significant in their association with cardiovascular events. Conclusion: The results of this study indicate that age, initial NSAID exposure, and comorbidities are more predictive than NSAID-specific factors such as COX-selectivity and dose. The results provide the framework for development of a risk score to improve prediction of NSAID-associated cardiovascular events.

Association of race/ethnicity and patient care experiences with healthcare utilization and healthcare costs among prostate cancer survivors: A SEER-CAHPS study.

INTRODUCTION: This study aimed to evaluate the association of race/ethnicity and patient care experiences (PCEs) with healthcare utilization and costs among US older adults with prostate cancer (PCa). MATERIALS AND METHODS: The study used data from 2007 to 2015 Surveillance, Epidemiology, and End Results dataset linked to Medicare Consumer Assessment of Healthcare Providers and Systems survey and Medicare claims (SEER-CAHPS). We identified males aged ≥65 years who completed a CAHPS survey within 6-60 months post-PCa diagnosis. Covariate-adjusted associations of six CAHPS PCE composite measures with any emergency department visit and any inpatient stay (using logistic regressions), and with total part A and part B Medicare costs (using generalized linear models) were examined by race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian, and other). RESULTS: Among 1834 PCa survivors, a 1-point higher score for getting care quickly was associated with higher odds (odds ratio 1.08; 95% confidence interval [CI]: 1.02-1.15; p = 0.009) of any inpatient stay in Hispanic patients. Higher total costs were associated with a 1-point higher score for getting needed care among Hispanic patients ($590.84; 95% CI: $262.15, $919.53; p < 0.001); a 1-point higher score for getting care quickly among Hispanic patients ($405.26; 95% CI: $215.83, $594.69; p < 0.001); and a 1-point higher score for customer service among patients belonging to other races ($361.69; 95% CI: $15.68, $707.69; p = 0.04). DISCUSSION: We observed differential associations by race/ethnicity between PCEs and healthcare utilization and costs. Further research is needed to explore the causes of these associations.

Medication Trends in the Military: A Comparative Analysis of Prescribing Patterns Among Service Members Seen by a Pharmacist and Implications for Medical Readiness.

INTRODUCTION: Medications play a critical role supporting the health of military service members. Little is known about the broad use of medications prescribed to this population. Active duty service members (ADSMs), while often younger and having fewer diagnosed comorbid conditions, face unique health challenges that benefit from pharmacotherapy. Understanding prescribing patterns is instrumental to illuminate potential areas for research and to guide education so that military health care professionals can maintain competency, improve outcomes, and support medical readiness. This study aimed to characterize commonly dispensed medications among ADSMs and to compare these prescriptions with those of the general population. MATERIALS AND METHODS: A retrospective, cross-sectional analysis using data extracted contained in the Military Health System Information Platform focused on ADSMs who consulted with a clinical pharmacist during the 2019 fiscal year. Descriptive statistics were used to summarize patient and prescription data. The 100 most frequently prescribed medications and 20 most frequently prescribed therapeutic classes were identified. Analyses were performed using Statistical Analysis System (SAS) software, and a non-metric multidimensional scaling plot was generated in R to illustrate the relationships between the 20 most frequently used therapeutic classes and the branches of service. RESULTS: The study analyzed 719,788 prescriptions for 30,012 service members, revealing a high prescription rate for pain, inflammation, and psychiatric condition treatments. Antidepressants and nonsteroidal anti-inflammatory drugs were among the most commonly prescribed across all military branches. Some medication uses varied, which may indicate distinct needs within different service branches. CONCLUSIONS: Understanding medication patterns among ADSMs may be able to help health care professionals proactively address pharmacological challenges and optimize pharmaceutical use in this unique population. This knowledge can also aid in the development of training modules focused on medication side effects, interactions, counseling, and implications on military deployment for the most commonly used medications. Future examination into prescribing cascades and medication use related to proton-pump inhibitors, docusate, benzonatate, and muscle relaxants may identify opportunities to provide better care or lower cost.