Racial, Ethnic, and Language-Based Inequities in Inpatient Opioid Prescribing by Diagnosis from Internal Medicine Services, a Retrospective Cohort Study.

Introduction: Opioid administration is extremely common in the inpatient setting, yet we do not know how the administration of opioids varies across different medical conditions and patient characteristics on internal medicine services. Our goal was to assess racial, ethnic, and language-based inequities in opioid prescribing practices for patients admitted to internal medicine services. Methods: We conducted a retrospective cohort study of all adult patients admitted to internal medicine services from 2013 to 2021 and identified subcohorts of patients treated for the six most frequent primary hospital conditions (pneumonia, sepsis, cellulitis, gastrointestinal bleed, pyelonephritis/urinary tract infection, and respiratory disease) and three select conditions typically associated with pain (abdominal pain, acute back pain, and pancreatitis). We conducted a negative binomial regression analysis to determine how average administered daily opioids, measured as morphine milligram equivalents (MMEs), were associated with race, ethnicity, and language, while adjusting for additional patient demographics, hospitalization characteristics, medical comorbidities, prior opioid therapy, and substance use disorders. Results: The study cohort included 61,831 patient hospitalizations. In adjusted models, we found that patients with limited English proficiency received significantly fewer opioids (66 MMEs, 95% CI: 52, 80) compared to English-speaking patients (101 MMEs, 95% CI: 91, 111). Asian (59 MMEs, 95% CI: 51, 66), Latinx (89 MMEs, 95% CI: 79, 100), and multi-race/ethnicity patients (81 MMEs, 95% CI: 65, 97) received significantly fewer opioids compared to white patients (103 MMEs, 95% CI: 94, 112). American Indian/Alaska Native (227 MMEs, 95% CI: 110, 344) patients received significantly more opioids. Significant inequities were also identified across race, ethnicity, and language groups when analyses were conducted within the subcohorts. Most notably, Asian and Latinx patients received significantly fewer MMEs and American Indian/Alaska Native patients received significantly more MMEs compared to white patients for the top six most frequent conditions. Most patients from minority groups also received fewer MMEs compared to white patients for three select pain conditions. Discussion. There are notable inequities in opioid prescribing based on patient race, ethnicity, and language status for those admitted to inpatient internal medicine services across all conditions and in the subcohorts of the six most frequent hospital conditions and three pain-associated conditions. This represents an institutional and societal opportunity for quality improvement initiatives to promote equitable pain management.

Pain Assessment Disparities by Race, Ethnicity, and Language in Adult Hospitalized Patients.

AIM: Nurses assess patients' pain using several validated tools. It is not known what disparities exist in pain assessment for medicine inpatients. Our purpose was to measure differences in pain assessment across patient characteristics, including race, ethnicity, and language status. METHODS: Retrospective cohort study of adult general medicine inpatients from 2013 to 2021. The primary exposures were race/ethnicity and limited English proficiency (LEP) status. The primary outcomes were 1) the type and odds of which pain assessment tool nursing used and 2) the relationship between pain assessments and daily opioid administration. RESULTS: Of 51,602 patient hospitalizations, 46.1% were white, 17.4% Black, 16.5% Asian, and 13.2% Latino. 13.2% of patients had LEP. The most common pain assessment tool was the Numeric Rating Scale (68.1%), followed by the Verbal Descriptor Scale (23.7%). Asian patients and patients with LEP were less likely to have their pain documented numerically. In multivariable logistic regression, patients with LEP (OR 0.61, 95% CI 0.58-0.65) and Asian patients (OR 0.74, 95% CI 0.70-0.78) had the lowest odds of numeric ratings. Latino, Multi-Racial, and patients classified as Other also had lower odds than white patients of numeric ratings. Asian patients and patients with LEP received the fewest daily opioids across all pain assessment categories. CONCLUSIONS: Asian patients and patients with LEP were less likely than other patient groups to have a numeric pain assessment and received the fewest opioids. These inequities may serve as the basis for the development of equitable pain assessment protocols.

Language barriers and postoperative opioid prescription use after total knee arthroplasty.

Background: Patients with limited English proficiency (LEP) face difficulties in access to postoperative follow-up care, including post-discharge medication refills. However, prior studies have not examined how utilization of prescription pain medications after discharge from joint replacement surgeries differs between English proficient (EP) and LEP patients. Objective: This study explored the relationship between English language proficiency and opioid prescription refill requests after hospital discharge for total knee arthroplasty (TKA). Methods: This was an observational cohort study of patients ≥18 years of age who underwent TKA between January 2015 and December 2019 at a single academic center. LEP status was defined as not having English as the primary language and requesting an interpreter. Primary outcome variables included opioid pain medication refill requests between 0 and 90 days from discharge. Multivariable logistic regression modeling calculated the odds ratios of requesting an opioid refill. Results: A total of 2148 patients underwent TKA, and 9.8% had LEP. Postoperative pain levels and rates of prior opioid use did not differ between LEP and EP patients. LEP patients were less likely to request an opioid prescription refill within 30 days (35.3% vs 52.4%, p < 0.001), 60 days (48.7% vs 61.0%, p = 0.004), and 90 days (54.0% vs 62.9%, p = 0.041) after discharge. In multivariable analysis, LEP patients had an odds ratio of 0.61 of requesting an opioid refill (95% CI, 0.41-0.92, p = 0.019) within 30 days of discharge. Having Medicare insurance and longer lengths of hospitalization were correlated with lower odds of 0-30 days opioid refills, while prior opioid use and being discharged home were associated with higher odds of opioid refill requests 0-30 days after discharge for TKA. Conclusions: Language barriers may contribute to poorer access to postoperative care, including prescription medication refills. Barriers to postoperative care may exist at multiple levels for LEP patients undergoing surgical procedures.

Racial and Ethnic Disparities in Discharge Opioid Prescribing From a Hospital Medicine Service.

BACKGROUND: Differential opioid prescribing patterns have been reported in non-White patient populations. However, these disparities have not been well described among hospitalized medical inpatients. OBJECTIVE: To describe differences in opioid prescribing patterns among inpatients discharged from the general medicine service based on race/ethnicity. DESIGN, SETTING, AND PARTICIPANTS: For this retrospective study, we performed a multivariable logistic regression for patient race/ethnicity and whether patients received an opioid prescription at discharge and a negative binomial regression for days of opioids prescribed at discharge. The study included all 10,953 inpatients discharged from the general medicine service from June 2012 to November 2018 at University of California San Francisco Medical Center who received opioids during the last 24 hours of their hospitalization. MAIN OUTCOMES AND MEASURES: We examined two primary outcomes: whether a patient received an opioid prescription at discharge, and, for patients prescribed opioids, the number of days dispensed. RESULTS: Compared with White patients, Black patients were less likely to receive an opioid prescription at discharge (predicted population rate of 47.6% vs 50.7%; average marginal effect [AME], -3.1%; 95% CI, -5.5% to -0.8%). Asian patients were more likely to receive an opioid prescription on discharge (predicted population rate, 55.6% vs 50.7%; AME, +4.9; 95% CI, 1.5%-8.3%). We also found that Black patients received a shorter duration of opioid days compared with White patients (predicted days of opioids on discharge, 15.7 days vs 17.8 days; AME, -2.1 days; 95% CI, -3.3 to -0.9). CONCLUSION: Black patients were less likely to receive opioids and received shorter courses at discharge compared with White patients, adjusting for covariates. Asian patients were the most likely to receive an opioid prescription.

Overcoming the Racial Hierarchy: the History and Medical Consequences of "Caucasian".

The term Caucasian is ubiquitous in the medical field. It is used without a significant consideration of its history or medical necessity. First, the term Caucasian has racist historical origins in a beauty-based hierarchy with implied superiority. It is derived from a 1700's historical scheme which places Caucasians above the other, degenerated racial groups. Second, the pseudo-scientific justification for this hierarchy has been co-opted to legally justify discrimination against minority groups in the USA. Third, the unnecessary and incorrect application of antiquated racial identifiers negatively impacts patient care. Disentangling real, clinically meaningful genetic differences from superficial racial determinations remains an ongoing challenge. Framing patient care through Caucasian or white lens leads to the unequal care and the otherization of minority groups. Fourth, we must develop a more appropriate, racially sensitive system for patient identification in clinical practice and research. This demands intentionality, precision, and consistency.

Market-Based Health Care in Specialty Surgery: Finding Patient-Centered Shared Value.

: The US health care system is struggling with rising costs, poor outcomes, waste, and inefficiency. The Patient Protection and Affordable Care Act represents a substantial effort to improve access and emphasizes value-based care. Value in health care has been defined as health outcomes for the patient per dollar spent. However, given the opacity of health outcomes and cost, the identification and quantification of patient-centered value is problematic. These problems are magnified by highly technical, specialized care (eg, neurosurgery). This is further complicated by potentially competing interests of the 5 major stakeholders in health care: patients, doctors, payers, hospitals, and manufacturers. These stakeholders are watching with great interest as health care in the United States moves toward a value-based system. Market principles can be harnessed to drive costs down, improve outcomes, and improve overall value to patients. However, there are many caveats to a market-based, value-driven system that must be identified and addressed. Many excellent neurosurgical efforts are already underway to nudge health care toward increased efficiency, decreased costs, and improved quality. Patient-centered shared value can provide a philosophical mooring for the development of health care policies that utilize market principles without losing sight of the ultimate goals of health care, to care for patients.