The effect of cognitive load and patient race on physicians' decisions to prescribe opioids for chronic low back pain: a randomized trial

Biased Language in Simulated Handoffs and Clinician Recall and Attitudes

Importance

Poor-quality handoffs can lead to medical errors when transitioning patient care. Biased language within handoffs may contribute to errors and lead to disparities in health care delivery.

Objective

To compare clinical information recall accuracy and attitudes toward patients among trainees in paired cases of biased vs neutral language in simulated handoffs.

Design, Setting, and Participants

Surveys administered from April 29 to June 15 and from July 20 to October 10, 2023, included 3 simulated verbal handoffs, randomized between biased and neutral, and measured clinical information recall, attitudes toward patients, and key takeaways after each handoff. Participants included residents in internal medicine, pediatrics, and internal medicine-pediatrics and senior medical students at 2 academic medical centers in different geographic regions of the US. Data were analyzed from November 2023 to June 2024.

Exposures

Each participant received 3 handoffs that were based on real handoffs about Black patients at 1 academic center. These handoffs were each randomized to either a biased or neutral version. Biased handoffs had 1 of 3 types of bias: stereotype, blame, or doubt. The order of handoff presentation was also randomized. Internal medicine and pediatrics residents received slightly different surveys, tailored for their specialty. Internal medicine-pediatrics residents received the pediatric survey. Medical students were randomly assigned the survey type.

Main Outcomes and Measures

Each handoff was followed by a clinical information recall question, an adapted version of the Provider Attitudes Toward Sickle Cell Patients Scale (PASS), and 3 free-response takeaways.

Results

Of 748 trainees contacted, 169 participants (142 residents and 27 medical students) completed the survey (23% overall response rate), distributed across institutions, residency programs, and years of training (95 female [56%]; mean [SD] age, 28.6 [2.3] years). Participants who received handoffs with blame-based bias had less accurate information recall than those who received neutral handoffs (77% vs 93%; P = .005). Those who reported bias as a key takeaway of the handoff had lower clinical information recall accuracy than those who did not (85% vs 93%; P = .01). Participants had less positive attitudes toward patients per PASS scores after receiving biased compared with neutral handoffs (mean scores, 22.9 [3.3] vs 25.2 [2.7]; P < .001). More positive attitudes toward patients were associated with higher clinical information recall accuracy (odds ratio, 1.12; 95% CI, 1.02-1.22).

Conclusions and Relevance

In this survey study of residents and medical students, biased handoffs impeded accurate transfer of key clinical information and decreased empathy, potentially endangering patients and worsening health disparities. Handoff standardization is critical to addressing racial bias and improving patient safety.

Racial Disparities in Opioid Prescribing in the United States from 2011 to 2021: A Systematic Review and Meta-Analysis

Background

This meta-analysis is an update to a seminal meta-analysis on racial/ethnic disparities in pain treatment in the United States (US) published in 2012. Since then, literature has accumulated on the topic and important policy changes were made.

Objective

Examining racial/ethnic disparities in pain management and investigating key moderators of the association between race/ethnicity and pain outcomes in the US.

Methods

We performed a systematic search of publications (between January 2011 and February 2021) from the Scopus database. Search terms included: race, racial, racialized, ethnic, ethnicity, minority, minorities, minoritized, pain treatment, pain management, and analgesia. All studies were observational, examining differences in receipt of pain prescription medication in various settings, across racial or ethnic categories in US adult patient populations. Two binary analgesic outcomes were extracted: 1) prescription of "any" analgesia, and 2) prescription of "opioid" analgesia. We analyzed these outcomes in two populations: 1) Black patients, with White patients as a reference; and 2) Hispanic patients, with non-Hispanic White patients as a reference.

Results

The meta-analysis included twelve studies, and the systematic review included forty-three studies. Meta-analysis showed that, compared to White patients, Black patients were less likely to receive opioid analgesia (OR 0.83, 95% CI [0.73-0.94]). Compared to non-Hispanic White patients, Hispanic patients were less likely to receive opioid analgesia (OR 0.80, 95% CI [0.72-0.88]).

Conclusion

Despite a decade's gap, the findings indicate persistent disparities in prescription of, and access to opioid analgesics for pain among Black and Hispanic populations in the US.

The Impact of Patient Race, Patient Socioeconomic Status, and Cognitive Load of Physician Residents and Fellows on Chronic Pain Care Decisions

Social stereotypes are more likely to influence decision-making under conditions of high cognitive load (ie, mental workload), such as in medical settings. We examined how patient race, patient socioeconomic status (SES), physician cognitive load, and physician implicit beliefs about race and SES differences in pain tolerance impacted physicians' pain treatment decisions. Physician residents and fellows (N = 120) made treatment decisions for 12 computer-simulated patients with back pain that varied by race (Black/White) and SES (low/high). Half of the physicians were randomized to be interrupted during the decision task to make hypertension medication conversion calculations (high cognitive load group), while the other half completed the task without interruptions (low cognitive load group). Both groups were given equal time to make pain care decisions (2.5 minutes/patient). Results of multilevel ordinal logistic regression analyses indicated that physicians prescribed weaker analgesics to patients with high vs. low SES (odds ratio = .68, 95% confidence interval [.48, .97], P = .03). There was also a patient SES-by-cognitive load interaction (odds ratio = .56, 95% confidence interval [.31, 1.01], P = .05) that is theoretically and potentially practically meaningful but was not statistically significant at P < .05. These findings shed light on physician cognitive load as a clinically-relevant factor in the context of pain care quality and equity. PERSPECTIVE: These findings highlight the clinical relevance of physician cognitive load (eg, mental workload) when providing pain care for diverse patients. This line of work can support the development of interventions to manage physician cognitive load and its impact on pain care, which may ultimately help reduce pain disparities.

Pain Care Disparities and the Use of Virtual Care Among Racial-Ethnic Minority Groups During COVID-19

BACKGROUND AND OBJECTIVE

COVID-19 led to an unprecedented reliance on virtual modalities to maintain care continuity for patients living with chronic pain. We examined whether there were disparities in virtual specialty pain care for racial-ethnic minority groups during COVID-19.

DESIGN AND PARTICIPANTS

This was a retrospective national cohort study with two comparison groups: primary care patients with chronic pain seen immediately prior to COVID-19 (3/1/19-2/29/20) (N = 1,649,053) and a cohort of patients seen in the year prior (3/1/18-2/28-19; n = 1,536,954).

MAIN MEASURES

We assessed use of telehealth (telephone or video) specialty pain care, in-person care specialty pain care, and any specialty pain care for both groups at 6 months following cohort inclusion. We used quasi-Poisson regressions to test associations between patient race and ethnicity and receipt of care.

KEY RESULTS

Prior to COVID-19, there were Black-White (RR = 0.64, 95% CI [0.62, 0.67]) and Asian-White (RR = 0.63, 95% CI [0.54, 0.75]) disparities in telehealth use, and these lessened during COVID-19 (Black-White: RR = 0.75, 95% CI [0.73, 0.77], Asian-White: RR = 0.81, 95% CI [0.74, 0.89]) but did not disappear. Individuals identifying as American Indian/Alaska Native used telehealth less than White individuals during early COVID-19 (RR = 0.98, 95% CI [0.85, 1.13] to RR = 0.87, 95% CI [0.79, 0.96]). Hispanic/Latinx individuals were less likely than non-Hispanic/Latinx individuals to use telehealth prior to COVID-19 but more likely during early COVID-19 (RR = 0.70, 95% CI [0.66, 0.75] to RR = 1.06, 95% CI [1.02, 1.09]). Disparities in virtual pain care occurred over the backdrop of overall decreased specialty pain care during the early phase of the pandemic (raw decrease of n = 17,481 specialty care encounters overall from pre-COVID to COVID-era), including increased disparities in any VA specialty pain care for Black (RR = 0.81, 95% CI [0.80, 0.83] to RR = 0.79, 95% CI [0.77, 0.80]) and Asian (RR = 0.91, 95% CI [0.86, 0.97] to RR = 0.88, 95% CI [0.82, 0.94]) individuals.

CONCLUSIONS

Disparities in virtual specialty pain care were smaller during the early phases of the COVID-19 pandemic than prior to the pandemic but did not disappear entirely, despite the rapid growth in telehealth. Targeted efforts to increase access to specialty pain care need to be concentrated among racial-ethnic minority groups.

Unconscious Bias among Health Professionals: A Scoping Review

BACKGROUND

Unconscious biases are one of the causes of health disparities. Health professionals have prejudices against patients due to their race, gender, or other factors without their conscious knowledge. This review aimed to provide an overview of research on unconscious bias among health professionals and to investigate the biases that exist in different regions of the world, the health professions that are considered, and the research gaps that still exist.

METHODS

We conducted a scoping review by systematically searching PubMed/MEDLINE, CINAHL, PsycINFO, PsycARTICLES, and AMED. All records were double-screened and included if they were published between 2011 and 2021.

RESULTS

A total of 5186 records were found. After removing duplicates (n = 300), screening titles and abstracts (n = 4210), and full-text screening (n = 695), 87 articles from 81 studies remained. Studies originated from North America (n = 60), Europe (n = 13), and the rest of the world (n = 6), and two studies were of global scope. Racial bias was investigated most frequently (n = 46), followed by gender bias (n = 11), weight bias (n = 10), socio-economic status bias (n = 9), and mental illness bias (n = 7). Most of the studies were conducted by physicians (n = 51) and nurses (n = 20). Other health care professionals were rarely included in these studies.

CONCLUSIONS

Most studies show that health professionals have an implicit bias. Racial biases among physicians and nurses in the USA are well confirmed. Research is missing on other biases from other regions and other health professions.

Narrative minireview of the spatial epidemiology of substance use disorder in the United States: Who is at risk and where?

Drug overdose is the leading cause of death by injury in the United States. The incidence of substance use disorder (SUD) in the United States has increased steadily over the past two decades, becoming a major public health problem for the country. The drivers of the SUD epidemic in the United States have changed over time, characterized by an initial heroin outbreak between 1970 and 1999, followed by a painkiller outbreak, and finally by an ongoing synthetic opioid outbreak. The nature and sources of these abused substances reveal striking differences in the socioeconomic and behavioral factors that shape the drug epidemic. Moreover, the geospatial distribution of the SUD epidemic is not homogeneous. The United States has specific locations where vulnerable communities at high risk of SUD are concentrated, reaffirming the multifactorial socioeconomic nature of this epidemic. A better understanding of the SUD epidemic under a spatial epidemiology framework is necessary to determine the factors that have shaped its spread and how these patterns can be used to predict new outbreaks and create effective mitigation policies. This narrative minireview summarizes the current records of the spatial distribution of the SUD epidemic in the United States across different periods, revealing some spatiotemporal patterns that have preceded the occurrence of outbreaks. By analyzing the epidemic of SUD-related deaths, we also describe the epidemic behavior in areas with high incidence of cases. Finally, we describe public health interventions that can be effective for demographic groups, and we discuss future challenges in the study and control of the SUD epidemic in the country.

Racial and Ethnic Disparity in Prehospital Pain Management for Trauma Patients

BACKGROUND

Although evidence suggests that racial and ethnic minority (REM) patients receive inadequate pain management in the acute care setting, it remains unclear whether these disparities also occur during the prehospital period. The aim of this study is to assess the impact of race and ethnicity on prehospital analgesic use by emergency medical services (EMS) in trauma patients.

STUDY DESIGN

Retrospective chart review of adult trauma patients aged 18 to 89 years old transported by EMS to our American College of Surgeons-verified level 1 trauma center from 2014 to 2020. Patients who identified as Black, Asian, Native American, or Other for race and/or Hispanic or Latino or Unknown for ethnicity were considered REM. Patients who identified as White, non-Hispanic were considered White. Groups were compared in univariate and multivariate analysis. The primary outcome was prehospital analgesic administration.

RESULTS

A total of 2,476 patients were transported by EMS (47% White and 53% REM). White patients were older on average (46 years vs 38 years; p < 0.001) and had higher rates of blunt trauma (76% vs 60%; p < 0.001). There were no differences in Injury Severity Score (21 vs 20; p = 0.22). Although REM patients reported higher subjective pain rating (7.2 vs 6.6; p = 0.002), they were less likely to get prehospital pain medication (24% vs 35%; p < 0.001), and that difference remained significant after controlling for baseline characteristics, transport method, pain rating, prehospital hypotension, and payor status (adjusted odds ratio [95% CI], 0.67 [0.47 to 0.96]; p = 0.03).

CONCLUSIONS

Patients from racial and ethnic minority groups were less likely to receive prehospital pain medication after traumatic injury than White patients. Forms of conscious and unconscious bias contributing to this inequity need to be identified and addressed.

Development of a keyword library for capturing PRO-CTCAE-focused "symptom talk" in oncology conversations

Objectives

As computational methods for detecting symptoms can help us better attend to patient suffering, the objectives of this study were to develop and evaluate the performance of a natural language processing keyword library for detecting symptom talk, and to describe symptom communication within our dataset to generate insights for future model building.

Materials and Methods

This was a secondary analysis of 121 transcribed outpatient oncology conversations from the Communication in Oncologist-Patient Encounters trial. Through an iterative process of identifying symptom expressions via inductive and deductive techniques, we generated a library of keywords relevant to the Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) framework from 90 conversations, and tested the library on 31 additional transcripts. To contextualize symptom expressions and the nature of misclassifications, we qualitatively analyzed 450 mislabeled and properly labeled symptom-positive turns.

Results

The final library, comprising 1320 terms, identified symptom talk among conversation turns with an F1 of 0.82 against a PRO-CTCAE-focused gold standard, and an F1 of 0.61 against a broad gold standard. Qualitative observations suggest that physical symptoms are more easily detected than psychological symptoms (eg, anxiety), and ambiguity persists throughout symptom communication.

Discussion

This rudimentary keyword library captures most PRO-CTCAE-focused symptom talk, but the ambiguity of symptom speech limits the utility of rule-based methods alone, and limits to generalizability must be considered.

Conclusion

Our findings highlight opportunities for more advanced computational models to detect symptom expressions from transcribed clinical conversations. Future improvements in speech-to-text could enable real-time detection at scale.

"1,000 conversations I'd rather have than that one:" A qualitative study of prescriber experiences with opioids and the impact of a prescription drug monitoring program

BACKGROUND

Prescription Drug Monitoring Programs (PDMPs) have shown impacts on a number of opioid-related outcomes but their role in clinician emotional experience of opioid prescribing has not been studied.

OBJECTIVES

This study explores the impact of PDMPs on clinician attitudes toward and comfort with opioid prescribing, their satisfaction with patient interactions involving discussion of opioid prescriptions, and their recognition of opioid use disorder (OUD) and ability to refer patients to treatment.

METHODS

Researchers conducted semi-structured interviews with five physicians and two nurse practitioners from a variety of specialties and practice environments.

RESULTS

Many participants reported negative emotions surrounding opioid-related patient encounters, with decreased anxiety related to PDMP availability. These effects were less pronounced with clinicians who had greater opioid prescribing experience (either longer careers or higher-volume pain practices). Many participants felt uncomfortable around opioid prescribing. Data from the PDMP often changed prescribing practices, sometimes leading to greater comfort writing a prescription that might have felt riskier without PDMP data. Clinicians easily recognized patient behaviors, symptoms, and prescription requests suggesting that opioid-related adverse events were accumulating, but did not usually apply a label of OUD to these situations. PDMP findings occasionally contributed to a diagnosis and treatment referral for OUD.

CONCLUSIONS

PDMP data is part of a nuanced approach to prescribing opioids. The objectivity of the data may be helpful in mitigating clinician negative emotions that are common around opioid therapy.

Race, ethnicity, and the use of regional anesthesia in cancer patients undergoing open abdominal surgery: A single-center retrospective cohort study

Background

Where applicable, regional anesthesia has been shown to be superior to opioid or non-opioid analgesic modalities alone. However, some studies have shown ethnic-based disparities in the use of regional anesthesia in patients undergoing surgical procedures. In this study of patients who had undergone major oncologic surgery, our main objective was to compare the use of regional anesthesia between patients of different ethnicities.

Methods

A retrospective review of adults who had undergone major open abdominal surgical procedures between 2016 and 2021 was performed. Logistic regression models were used to assess the association between baseline patient characteristics and the use of regional anesthesia.

Results

A total of 4,791 patients were included in the analysis. The median age was 60.5 years [interquartile range, 49, 69], the majority were female (65%), and of American Society of Anesthesiologists Physical Status Class (ASA) 3 (94.7%). Regional anesthesia was used in 2,652 patients (55.4%) and was not associated with race or ethnicity (p = 0.287). Compared to White patients, the odds of regional anesthesia use in other racial/ethnic groups were: Asian {odds ratio (OR) 0.851 [95% confidence interval (CI), 0.660–1.097]; p = 0.2125}, Black/African American [OR 0.807 (95% CI, 0.651–1.001); p = 0.0508], Hispanic/Latino [OR 0.957 (95% CI, 0.824–1.154); p = 0.7676], Other race [OR 0.957 (95% CI, 0.627–1.461); p = 0.8376]. In the multivariable analysis, age [OR 0.995 (95% CI, 0.991–1.000); p = 0.0309] and female gender [OR 1.231 (95% CI, 1.090–1.390); p = 0.0008] were associated with the use of regional anesthesia.

Conclusion

In this single-institution retrospective study of adults who had undergone major open abdominal surgery, the use of regional anesthesia was not associated with race or ethnicity. In the multivariable analysis, age and female gender were associated with the use of regional anesthesia.

Racism in healthcare: a scoping review

BACKGROUND

Racism constitutes a barrier towards achieving equitable healthcare as documented in research showing unequal processes of delivering, accessing, and receiving healthcare across countries and healthcare indicators. This review summarizes studies examining how racism is discussed and produced in the process of delivering, accessing and receiving healthcare across various national contexts.

METHOD

The PRISMA guidelines for scoping reviews were followed and databases were searched for peer reviewed empirical articles in English across national contexts. No starting date limitation was applied for this review. The end date was December 1, 2020. The review scoped 213 articles. The results were summarized, coded and thematically categorized in regards to the aim.

RESULTS

The review yielded the following categories: healthcare users' experiences of racism in healthcare; healthcare staff's experiences of racism; healthcare staff's racial attitudes and beliefs; effects of racism in healthcare on various treatment choices; healthcare staff's reflections on racism in healthcare and; antiracist training in healthcare. Racialized minorities experience inadequate healthcare and being dismissed in healthcare interactions. Experiences of racism are associated with lack of trust and delay in seeking healthcare. Racialized minority healthcare staff experience racism in their workplace from healthcare users and colleagues and lack of organizational support in managing racism. Research on healthcare staff's racial attitudes and beliefs demonstrate a range of negative stereotypes regarding racialized minority healthcare users who are viewed as difficult. Research on implicit racial bias illustrates that healthcare staff exhibit racial bias in favor of majority group. Healthcare staff's racial bias may influence medical decisions negatively. Studies examining healthcare staff's reflections on racism and antiracist training show that healthcare staff tend to construct healthcare as impartial and that healthcare staff do not readily discuss racism in their workplace.

CONCLUSIONS

The USA dominates the research. It is imperative that research covers other geo-political contexts. Research on racism in healthcare is mainly descriptive, atheoretical, uses racial categories uncritically and tends to ignore racialization processes making it difficult to conceptualize racism. Sociological research on racism could inform research on racism as it theoretically explains racism's structural embeddedness, which could aid in tackling racism to provide good quality care.

An Experimental Study of the Effects of Patient Race, Sexual Orientation, and Injection Drug Use on Providers' PrEP-Related Clinical Judgments

Social biases may influence providers' judgments related to pre-exposure prophylaxis (PrEP) and patients' consequent PrEP access. US primary and HIV care providers (n = 370) completed an experimental survey. Each provider reviewed one fictitious medical record of a patient seeking PrEP. Records varied by patient race (Black or White) and risk behavior (man who has sex with men [MSM], has sex with women [MSW], or injects drugs [MID]). Providers reported clinical judgments and completed measures of prejudice. Minimal evidence of racially biased judgments emerged. Providers expressing low-to-moderate sexual prejudice judged the MSM as more likely than the MSW to adhere to PrEP, which was associated with greater PrEP prescribing intention; sexual prejudice was negatively associated with anticipated MSM adherence. Providers judged the MID to be at higher risk, less likely to adhere, less safety-conscious, and less responsible than both the MSM and MSW; adverse adherence and responsibility judgments were associated with lower prescribing intention.

Inpatient Opioid Use Disorder Treatment by Generalists is Associated With Linkage to Opioid Treatment Programs After Discharge

OBJECTIVES

Describe clinical and demographic associations with inpatient medication for opioid use disorder (MOUD) initiation on general medicine services and to examine associations between inpatient MOUD initiation by generalists and subsequent patient healthcare utilization.

METHODS

This is a retrospective study using medical record data from general medicine services at an urban safety-net hospital before an inpatient addiction consultation service. The patients were adults hospitalized for acute medical illness who had an opioid-related ICD-10 code associated with the visit. Associations with MOUD initiation were assessed using multivariable logistic regression. Hospital readmission, emergency department use, linkage to opioid treatment programs (OTP), and mortality at 30- and 90-days postdischarge were compared between those with and without hospital MOUD initiation using χ2 tests.

RESULTS

Of 1,284 hospitalized patients with an opioid-related code, 59.81% received MOUD and 31.38% of these were newly initiated in-hospital. In multivariable logistic regression, Black race, mood disorder, psychotic disorder, and alcohol use disorder were negatively associated with MOUD initiation, while being aged 25-34, having a moderate hospital severity of illness score, and experiencing homelessness were positively associated. There were no bivariate associations between MOUD initiation and postdischarge emergency department use, hospital readmission, or mortality at 30- and 90-days, but those initiated on MOUD were more likely to present to an OTP within 90 days (30.57% vs 12.80%, P < 0.001).

CONCLUSIONS

MOUD prescribing by inpatient generalists may help to increase the number of patients on treatment for opioid use disorder after hospital discharge. More research is needed to understand the impact of inpatient MOUD treatment without addiction specialty consultation.

The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting

Bias in clinical practice, in particular in relation to race and gender, is a persistent cause of healthcare disparities. We investigated the potential of a peer-network approach to reduce bias in medical treatment decisions within an experimental setting. We created "egalitarian" information exchange networks among practicing clinicians who provided recommendations for the clinical management of patient scenarios, presented via standardized patient videos of actors portraying patients with cardiac chest pain. The videos, which were standardized for relevant clinical factors, presented either a white male actor or Black female actor of similar age, wearing the same attire and in the same clinical setting, portraying a patient with clinically significant chest pain symptoms. We found significant disparities in the treatment recommendations given to the white male patient-actor and Black female patient-actor, which when translated into real clinical scenarios would result in the Black female patient being significantly more likely to receive unsafe undertreatment, rather than the guideline-recommended treatment. In the experimental control group, clinicians who were asked to independently reflect on the standardized patient videos did not show any significant reduction in bias. However, clinicians who exchanged real-time information in structured peer networks significantly improved their clinical accuracy and showed no bias in their final recommendations. The findings indicate that clinician network interventions might be used in healthcare settings to reduce significant disparities in patient treatment.

General Hospital Agitation Management Under the Lens of Leadership Theory and Health Care Team Best Practices Using TeamSTEPPS

BACKGROUND

Acute agitation management is an emergency clinical intervention, often presenting acute danger to patients and medical staff. Unlike many other emergency clinical interventions, acute agitation management lacks a substantial evidence base regarding leadership and teamwork best practices. The Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) framework is a comprehensive strategy for improving health care outcomes in acute clinical situations.

OBJECTIVE

Practical application of TeamSTEPPS frameworks in team-based acute agitation management in the medical setting.

METHODS

A literature review was performed from January 1990 to March 2021 for verbal de-escalation in acute agitation management, leadership and teamwork in psychiatry and medicine, and TeamSTEPPS.

RESULTS

No literature was found that applied TeamSTEPPS for acute agitation management in the general medical unit context although limited application has been trialed in the inpatient psychiatric context. The verbal de-escalation literature describes applicable content including conflict management approaches, communication strategies, security presence management, modeling therapeutic behavior, and debriefing strategies. Several articles were found regarding a rapid response team model for acute agitation management and describing handoff tools in psychiatric care contexts. Translation of the TeamSTEPPS approach provided many additional approaches for operation of a rapid response team in acute agitation management.

CONCLUSIONS

The leadership and teamwork best practices in TeamSTEPPS provide a clear and actionable framework for team-based acute agitation management as an emergency clinical intervention.

The Unique and Interactive Effects of Patient Race, Patient Socioeconomic Status, and Provider Attitudes on Chronic Pain Care Decisions

BACKGROUND

Compared to White and high socioeconomic status (SES) patients, Black and low SES patients receive less adequate pain care. Providers may contribute to these disparities by making biased decisions that are driven, in part, by their attitudes about race and SES.

PURPOSE

We examined the effects of patient race and SES on providers' chronic pain decisions and the extent to which providers' implicit and explicit attitudes about race and SES were related to these decisions.

METHODS

Physician residents/fellows (n = 436) made pain care decisions for 12 computer-simulated patients with chronic back pain that varied by race (Black/White) and SES (low/high). Physicians also completed measures assessing implicit and explicit attitudes about race and SES.

RESULTS

There were three significant race-by-SES interactions: (a) For high SES patients, Black (vs. White) patients were rated as having more pain interference; the opposite race difference emerged for low SES patients. (b) For high SES patients, Black (vs. White) patients were rated as being in greater distress; no race difference emerged for low SES patients. (c) For low SES patients, White (vs. Black) patients were more likely to be recommended workplace accommodations; no race difference emerged for high SES patients. Additionally, providers were more likely to recommend opioids to Black (vs. White) and low (vs. high) SES patients, and were more likely to use opioid contracts with low (vs. high) SES patients. Providers' implicit and explicit attitudes predicted some, but not all, of their pain-related ratings.

CONCLUSION

These results highlight the need to further examine the effects of patient race and SES simultaneously in the context of pain care.

Patient Preference and Risk Assessment in Opioid Prescribing Disparities: A Secondary Analysis of a Randomized Clinical Trial

IMPORTANCE

Although racial disparities in acute pain control are well established, the role of patient analgesic preference and the factors associated with these disparities remain unclear.

OBJECTIVE

To characterize racial disparities in opioid prescribing for acute pain after accounting for patient preference and to test the hypothesis that racial disparities may be mitigated by giving clinicians additional information about their patients' treatment preferences and risk of opioid misuse.

DESIGN, SETTING, AND PARTICIPANTS

This study is a secondary analysis of data collected from Life STORRIED (Life Stories for Opioid Risk Reduction in the ED), a multicenter randomized clinical trial conducted between June 2017 and August 2019 in the emergency departments (EDs) of 4 academic medical centers. Participants included 1302 patients aged 18 to 70 years who presented to the ED with ureter colic or musculoskeletal back and/or neck pain.

INTERVENTIONS

The treatment arm was randomized to receive a patient-facing intervention (not examined in this secondary analysis) and a clinician-facing intervention that consisted of a form containing information about each patient's analgesic treatment preference and risk of opioid misuse.

MAIN OUTCOMES AND MEASURES

Concordance between patient preference for opioid-containing treatment (assessed before ED discharge) and receipt of an opioid prescription at ED discharge.

RESULTS

Among 1302 participants in the Life STORRIED clinical trial, 1012 patients had complete demographic and treatment preference data available and were included in this secondary analysis. Of those, 563 patients (55.6%) self-identified as female, with a mean (SD) age of 40.8 (14.1) years. A total of 455 patients (45.0%) identified as White, 384 patients (37.9%) identified as Black, and 173 patients (17.1%) identified as other races. After controlling for demographic characteristics and clinical features, Black patients had lower odds than White patients of receiving a prescription for opioid medication at ED discharge (odds ratio [OR], 0.42; 95% CI, 0.27-0.65). When patients who did and did not prefer opioids were considered separately, Black patients continued to have lower odds of being discharged with a prescription for opioids compared with White patients (among those who preferred opioids: OR, 0.43 [95% CI, 0.24-0.77]; among those who did not prefer opioids: OR, 0.45 [95% CI, 0.23-0.89]). These disparities were not eliminated in the treatment arm, in which clinicians were given additional data about their patients' treatment preferences and risk of opioid misuse.

CONCLUSIONS AND RELEVANCE

In this secondary analysis of data from a randomized clinical trial, Black patients received different acute pain management than White patients after patient preference was accounted for. These disparities remained after clinicians were given additional patient-level data, suggesting that a lack of patient information may not be associated with opioid prescribing disparities.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03134092.

Racial and Ethnic Disparities in the Treatment of Chronic Pain

OBJECTIVE

To summarize the current literature on disparities in the treatment of chronic pain.

METHODS

We focused on studies conducted in the United States and published from 2000 and onward. Studies of cross-sectional, longitudinal, and interventional designs were included.

RESULTS

A review of the current literature revealed that an adverse association between non-White race and treatment of chronic pain is well supported. Studies have also shown that racial differences exist in the long-term monitoring for opioid misuse among patients suffering from chronic pain. In addition, a patient's sociodemographic profile appears to influence the relationship between chronic pain and quality of life. Results from interventional studies were mixed.

CONCLUSIONS

Disparities exist within the treatment of chronic pain. Currently, it is unclear how to best combat these disparities. Further work is needed to understand why disparities exist and to identify points in patients' treatment when they are most vulnerable to unequal care. Such work will help guide the development and implementation of effective interventions.

The use of experimental vignette studies to identify drivers of variations in the delivery of health care: a scoping review

BACKGROUND

Identifying how unwarranted variations in healthcare delivery arise is challenging. Experimental vignette studies can help, by isolating and manipulating potential drivers of differences in care. There is a lack of methodological and practical guidance on how to design and conduct these studies robustly. The aim of this study was to locate, methodologically assess, and synthesise the contribution of experimental vignette studies to the identification of drivers of unwarranted variations in healthcare delivery.

METHODS

We used a scoping review approach. We searched MEDLINE, Embase, Web of Science and CINAHL databases (2007-2019) using terms relating to vignettes and variations in healthcare. We screened title/abstracts and full text to identify studies using experimental vignettes to examine drivers of variations in healthcare delivery. Included papers were assessed against a methodological framework synthesised from vignette study design recommendations within and beyond healthcare.

RESULTS

We located 21 eligible studies. Study participants were almost exclusively clinicians (18/21). Vignettes were delivered via text (n = 6), pictures (n = 6), video (n = 6) or interactively, using face-to-face, telephone or online simulated consultations (n = 3). Few studies evaluated the credibility of vignettes, and many had flaws in their wider study design. Ten were of good methodological quality. Studies contributed to understanding variations in care, most commonly by testing hypotheses that could not be examined directly using real patients.

CONCLUSIONS

Experimental vignette studies can be an important methodological tool for identifying how unwarranted variations in care can arise. Flaws in study design or conduct can limit their credibility or produce biased results. Their full potential has yet to be realised.

Geospatial Variations and Neighborhood Deprivation in Drug-Related Admissions and Overdoses

Drug overdoses are a national and global epidemic. However, while overdoses are inextricably linked to social, demographic, and geographical determinants, geospatial patterns of drug-related admissions and overdoses at the neighborhood level remain poorly studied. The objective of this paper is to investigate spatial distributions of patients admitted for drug-related admissions and overdoses from a large, urban, tertiary care center using electronic health record data. Additionally, these spatial distributions were adjusted for a validated socioeconomic index called the Area Deprivation Index (ADI). We showed spatial heterogeneity in patients admitted for opioid, amphetamine, and psychostimulant-related diagnoses and overdoses. While ADI was associated with drug-related admissions, it did not correct for spatial variations and could not account alone for this spatial heterogeneity.

Veterans' perceptions of racial bias in VA mental healthcare and their impacts on patient engagement and patient-provider communication

OBJECTIVES

Drawing from social identity threat theory, which posits that stigmatized groups are attuned to situational cues that signal racial bias, we examined how African-American veterans evaluate verbal and non-verbal cues in their mental health encounters. We also explored how their evaluations of perceived racial bias might influence their healthcare engagement behaviors and communication.

METHODS

We interviewed 85 African-American veterans who were receiving mental health services from the US Department of Veterans Affairs (VA), examining their views and experiences of race in healthcare. We analyzed the data using a constructivist grounded theory approach.

RESULTS

Participants identified several identity threatening cues that include lack of racial diversity representation in healthcare settings, and perceptions of providers' fears of Black patients. We describe how participants evaluated situational cues as identity threats, and how these cues affected their engagement behaviors and healthcare communication.

CONCLUSION

Our findings revealed situational cues within clinical encounters that create for Black veterans, fear of being negatively judged based on stereotypes that have characterized African-Americans.

PRACTICE IMPLICATIONS

We discuss the implications of these findings and provide suggestions on how to create identity safe environments for minority patients that include delivery of person-centered care, and organizational structures that reduce providers' burnout.

Patterns and Correlates of Self-Management Strategies for Osteoarthritis-Related Pain Among Older Non-Hispanic Black and Non-Hispanic White Adults

OBJECTIVE

Knee osteoarthritis (OA) is a leading source of pain and disability among older adults. Self-management (SM) strategies are recommended to manage OA symptoms. Sociodemographic and clinical characteristics, along with other factors, may influence SM utilization rate. This study sought to examine the prevalence and correlates of SM use for pain among non-Hispanic Black patients (NHB) and non-Hispanic White patients (NHW) older adults with or at risk for knee OA.

METHODS

A secondary data analysis was conducted on the Understanding Pain and Limitations in Osteoarthritic Disease multisite observational study, which included NHB (n = 104) and NHW (n = 98) community-dwelling older adults with or at risk for knee OA. Participants completed measures of sociodemographics, pain SM use, coping, and clinical and experimental pain.

RESULTS

Clinical and experimental pain were significantly greater among NHBs compared to NHWs. There were no significant differences in use of total SM by ethnicity/race. Interestingly, multiple linear regression revealed that clinical and experimental pain indices, as well as coping, number of pain sites, age, and sex were differentially associated with total SM use between NHBs and NHWs. There were significant ethnicity/race by type of pain management interaction effects for pain measures.

CONCLUSION

SM is common among older adults with or at risk for knee OA pain, and the prevalence of SM does not differ by ethnicity/race, but many guideline-recommended interventions for OA are underutilized. Importantly, different factors were associated with the use of SM, highlighting distinct biopsychosocial mechanisms contributing to SM use in NHBs and NHWs.

Judging health care priority in emergency situations: Patient facial appearance matters

RATIONALE

Extensive research has shown that implicit trait inferences from facial appearance can bias everyday life in a pervasive way, influencing our decisions in different social contexts such as mate choice, political vote and criminal sentence. In situations characterized by time pressure and scant information, decisions based on inferences from facial appearance may have particularly critical and serious consequences, such as in emergency healthcare. No studies today have investigated this aspect in an actual emergency.

OBJECTIVE

The aim of the present study was to go beyond this gap and to determine whether implicit inferences from patients' facial appearance could be predictive of disparities in clinical evaluations and priority of treatment.

METHODS

In total, 183 cases of patients were evaluated by independent judges at zero acquaintance on the basis of different implicit facial appearance-based inferences, including trustworthiness and distress. Color-based priority code (White, Green, or Yellow) attributed by the triage nurse at the end of the registration process were recorded.

RESULTS

Our results showed that more trustworthy- and distressed- looking patients' faces have been associated with a higher priority code.

CONCLUSIONS

The present study shows that specific facial appearance-based inferences influence the attribution of priority code in healthcare that require quick decisions based on scarce clinical information such as in emergency. These results suggest the importance to bring to the attention of the healthcare professionals' the possibility of being victims of implicit inferences, and prompt to design educational interventions capable to increase their awareness of this bias in clinical evaluation.

Racial/Ethnic Disparities in Pain Treatment: Evidence From Oregon Emergency Medical Services Agencies

BACKGROUND

Despite the critical role that Emergency Medical Services (EMS) provides in the health care system, racial/ethnic treatment disparities in EMS remain relatively unexamined.

OBJECTIVE

To investigate racial/ethnic treatment disparities in pain assessment and pain medication administration in EMS.

RESEARCH DESIGN

A retrospective analysis was performed on 25,732 EMS encounters from 2015 to 2017 recorded in the Oregon Emergency Medical Services Information System using multivariate logistic regression models to examine the role of patient race/ethnicity in pain assessment and pain medication administration among patients with a traumatic injury.

RESULTS

Hispanic and Asian patients were less likely to receive a pain assessment procedure and all racial/ethnic patients were less likely to receive pain medications compared with white patients. In particular, regarding the adjusted likelihood of receiving a pain assessment procedure, Hispanic patients were 21% less likely [95% confidence interval (CI), 10%-30%; P<0.001], Asian patients were 31% less likely (95% CI, 16%-43%; P<0.001) when compared with white patients. Regarding the adjusted likelihood of receiving any pain medications, black patients were 32% less likely (95% CI, 21%-42%; P<0.001), Hispanic patients were 21% less likely (95% CI, 7%-32%; P<0.01), and Asian patients were 24% less likely (95% CI, 1%-41%; P<0.05) when compared with white patients.

CONCLUSIONS

Racial/ethnic minorities were more likely to experience disadvantages in EMS treatment in Oregon. Hispanic and Asian patients who requested EMS services in Oregon for traumatic injuries were less likely to have their pain assessed and all racial/ethnicity patients were less likely to be treated with pain medications when compared with white patients.

Disparities in Palliative Care in Patients With Cancer

In the United States, racial and ethnic minorities and people with lower socioeconomic status (SES) face structural, health system, and interpersonal barriers to optimal health care, including palliative care. Much of the available data on palliative care in racial and ethnic minorities and people with lower SES have identified disparities according to race, ethnicity, and SES. Limitations to understanding disparities in palliative care include the fact that much of the available data are cross-sectional, drawn from administrative or claims data, or based on qualitative work in limited geographic areas. To advance our knowledge and achieve health equity with respect to palliative care in patient groups that have been understudied or that are known to receive disparate care, gaining a deeper understanding of the barriers to palliative care is necessary from patients, families, referring providers, and communities. In addition, cultural competency training for all members of the palliative care team and referring providers needs to be changed from being obligatory to being intentional and assessed continuously. Finally, concerted changes in coordination of care, payment structures, and policy are needed.

Assessment and Treatment Recommendations for Pediatric Pain: The Influence of Patient Race, Patient Gender, and Provider Pain-Related Attitudes

Previous studies have documented that racial minorities and women receive poorer pain care than their demographic counterparts. Providers contribute to these disparities when their pain-related decision-making systematically varies across patient groups. Less is known about racial and gender disparities in children with pain or the extent to which providers contribute to these disparities. In a sample of 129 medical students (henceforth referred to as "providers"), Virtual Human methodology and a pain-related version of the Implicit Association Test (IAT) were used to examine the effects of patient race/gender on providers' pain assessment/treatment decisions for pediatric chronic abdominal pain, as well as the moderating role of provider implicit pain-related race/gender attitudes. Findings indicated that providers rated Black patients as more distressed (mean difference [MD] = 2.33, P < .01, standard error [SE] = .71, 95% confidence interval [CI] = .92, 3.73) and as experiencing more pain-related interference (MD = 3.14, P < .01, SE = .76, 95% CI = 1.63, 4.64) compared to White patients. Providers were more likely to recommend opioids for Black patients than White patients (MD = 2.41, P < .01, SE = .58, 95% CI = 1.05, 3.76). Female patients were perceived to be more distressed by their pain (MD = 2.14, P < .01, SE = .79, 95% CI = .58, 3.70) than male patients, however there were no gender differences in treatment recommendations. IAT results indicated that providers held implicit attitudes that Black Americans (M = .19, standard deviation [SD] = .29) and males (M = .38, SD = .29) were more pain-tolerant than their demographic counterparts; however, these implicit attitudes did not significantly moderate their pain assessment/treatment decisions. Future studies are needed to elucidate specific paths through which the pain experience and care of children differ across racial and gender groups. PERSPECTIVE: Providers' pain assessment (ie, pain distress/pain interference) and treatment (ie, opioids) of pediatric pain differs across patient race and to a lesser extent, patient gender. This study represents a critical step in research on pain-related disparities in pediatric pain.

Racial and ethnic differences in the experience and treatment of noncancer pain

The burden of pain is unequal across racial and ethnic groups. In addition to racial and ethnic differences in the experience of pain, there are racial and ethnic disparities in the assessment and treatment of pain. In this article, we provide a nonexhaustive review of the biopsychosocial mechanistic factors contributing to racial and ethnic differences in both the experience and treatment of pain. Using a modified version of the Socioecological Model, we focus on patient-, provider- and system-level factors including coping, perceived bias and discrimination, patient preferences, expectations, patient/provider communication, treatment outcomes and healthcare access. In conclusion, we provide psychosocial factors influencing racial and ethnic differences in pain and highlight future research targets and possible solutions to reduce these disparities.

Trends in Black and White Opioid Mortality in the United States, 1979-2015

Supplemental Digital Content is available in the text.

Background:

Recent research on the US opioid epidemic has focused on the white or total population and has largely been limited to data after 1999. However, understanding racial differences in long-term trends by opioid type may contribute to improving interventions.

Methods:

Using multiple cause of death data, we calculated age-standardized opioid mortality rates, by race and opioid type, for the US resident population from 1979 to 2015. We analyzed trends in mortality rates using joinpoint regression.

Results:

From 1979 to 2015, the long-term trends in opioid-related mortality for Earlier data did not include ethnicity so this is incorrect. It is all black and all white residents in the US. blacks and whites went through three successive waves. In the first wave, from 1979 to the mid-1990s, the epidemic affected both populations and was driven by heroin. In the second wave, from the mid-1990s to 2010, the increase in opioid mortality was driven by natural/semi-synthetic opioids (e.g., codeine, morphine, hydrocodone, or oxycodone) among whites, while there was no increase in mortality for blacks. In the current wave, increases in opioid mortality for both populations have been driven by heroin and synthetic opioids (e.g., fentanyl and its analogues). Heroin rates are currently increasing at 31% (95% confidence interval [CI] = 27, 35) per year for whites and 34% (95% CI = 30, 40) for blacks. Concurrently, respective synthetic opioids are increasing at 79% (95% CI = 50, 112) and 107% (95% CI = −15, 404) annually.

Conclusion:

Since 1979, the nature of the opioid epidemic has shifted from heroin to prescription opioids for the white population to increasing of heroin/synthetic deaths for both black and white populations. See video abstract at, http://links.lww.com/EDE/B377.

Do postconcussive symptoms from traumatic brain injury in combat veterans predict risk for receiving opioid therapy for chronic pain?

OBJECTIVES

Opioid therapy is contraindicated in patients with traumatic brain injury (TBI) with neuropsychological impairment, yet guidelines do not consistently predict practice. We evaluated independent risk for initiation of opioid therapy among combat veterans with chronic pain diagnoses and persistent postconcussive symptoms.

METHODS

We assembled a retrospective cohort of 53 124 Iraq and Afghanistan veterans in Veterans Affairs (VA) healthcare between October 2007 and March 2015 who received chronic pain diagnoses, completed a Comprehensive TBI Evaluation (CTBIE) and had not received opioid therapy in the prior year. Primary exposure variables were self-reported severe or very severe Emotional, Vestibular, Cognitive and Somatic/Sensory symptoms measured using the Neurobehavioral Symptom Inventory. Outcome measures were initiation of short-term and long-term opioid therapy within the year following CTBIE.

RESULTS

Self-reported severe and very severe postconcussive symptoms predicted initiation of long-term and short-term opioid use for chronic pain in both unadjusted and adjusted analyses. In adjusted analyses, all four postconcussive symptom domains significantly predicted initiation of long-term opioid therapy, with Emotional symptoms being the strongest predictor [ARR = 1.68 (1.52, 1.86)].

CONCLUSIONS

Increased opioid prescribing in veterans with self-reported severe persistent postconcussive symptoms indicates a need to educate prescribers and make non-opioid pain management options available for veterans with TBI and neuropsychological sequelae.

Methodologic limitations of prescription opioid safety research and recommendations for improving the evidence base

PURPOSE

The ongoing opioid epidemic has claimed more than a quarter million Americans' lives over the past 15 years. The epidemic began with an escalation of prescription opioid deaths and has now evolved to include secondary waves of illicit heroin and fentanyl deaths, while the deaths due to prescription opioid overdoses are still increasing. In response, the Centers for Disease Control and Prevention (CDC) moved to limit opioid prescribing with the release of opioid prescribing guidelines for chronic noncancer pain in March 2016. The guidelines represent a logical and timely federal response to this growing crisis. However, CDC acknowledged that the evidence base linking opioid prescribing to opioid use disorders and overdose was grades 3 and 4.

METHODS

Motivated by the need to strengthen the evidence base, this review details limitations of the opioid safety studies cited in the CDC guidelines with a focus on methodological limitations related to internal and external validity.

RESULTS

Internal validity concerns were related to poor confounding control, variable misclassification, selection bias, competing risks, and potential competing interventions. External validity concerns arose from the use of limited source populations, historical data (in a fast-changing epidemic), and issues with handling of cancer and acute pain patients' data. We provide a nonexhaustive list of 7 recommendations to address these limitations in future opioid safety studies.

CONCLUSION

Strengthening the opioid safety evidence base will aid any future revisions of the CDC guidelines and enhance their prevention impact.

Opioid Crisis: No Easy Fix to Its Social and Economic Determinants

The accepted wisdom about the US overdose crisis singles out prescribing as the causative vector. Although drug supply is a key factor, we posit that the crisis is fundamentally fueled by economic and social upheaval, its etiology closely linked to the role of opioids as a refuge from physical and psychological trauma, concentrated disadvantage, isolation, and hopelessness. Overreliance on opioid medications is emblematic of a health care system that incentivizes quick, simplistic answers to complex physical and mental health needs. In an analogous way, simplistic measures to cut access to opioids offer illusory solutions to this multidimensional societal challenge. We trace the crisis' trajectory through the intertwined use of opioid analgesics, heroin, and fentanyl analogs, and we urge engaging the structural determinants lens to address this formidable public health emergency. A broad focus on suffering should guide both patient- and community-level interventions.

A pragmatic trial to improve adherence with scheduled appointments in an inner-city pain clinic by human phone calls in the patient's preferred language

STUDY OBJECTIVE

We investigated if human reminder phone calls in the patient's preferred language increase adherence with scheduled appointments in an inner-city chronic pain clinic. We hypothesized that language and cultural incongruence is the underlying mechanism to explain poor attendance at clinic appointments in underserved Hispanic populations.

DESIGN

Pragmatic randomized controlled clinical trial SETTING: Innercity academic chronic pain clinic with a diverse, predominantly African-American and Hispanic population PATIENTS: All (n=963) adult patients with a scheduled first appointment between October 2014 and October 2015 at the Montefiore Pain Center in the Bronx, New York were enrolled.

INTERVENTIONS

Patients were randomized to receive a human reminder call in their preferred language before their appointment, or no contact.

MEASUREMENTS

We recorded patients' demographic characteristics and as primary outcome attendance as scheduled, failure to attend and/or cancellation calls. We fit Bayesian and classical multinomial logistic regression models to test if the intervention improved adherence with scheduled appointments.

MAIN RESULTS

Among the 953 predominantly African American and Hispanic/Latino patients, 475 patients were randomly selected to receive a language-congruent, human reminder call, while 478 were assigned to receive no prior contact, (after we excluded 10 patients, scheduled for repeat appointments). In the experimental group, 275 patients adhered to their scheduled appointment, while 84 cancelled and 116 failed to attend. In the control group, 249 patients adhered to their scheduled appointment, 31 cancelled and 198 failed to attend. Human phone reminders in the preferred language increased adherence (RR 1.89, CI95% [1.42, 1.42], (p<0.01). The intervention seemed particularly effective in Hispanic patients, supporting our hypothesis of cultural congruence as possible underlying mechanism.

CONCLUSIONS

Human reminder phone calls prior in the patient's preferred language increased adherence with scheduled appointments. The intervention facilitated access to much needed care in an ethnically diverse, resource poor population, presumably by overcoming language barriers.

The strangest of all encounters: racial and ethnic discrimination in US health care

In 2003, a Committee of the Institute of Medicine of the National Academy of Sciences summarized hundreds of studies documenting that US racial minorities, especially African Americans, receive poorer quality health care for a wide variety of conditions than their White counterparts. These racial differences in health care persist after controlling for sociodemographic factors and patients' ability to pay for care. The Committee concluded that physicians' unconscious negative stereotypes of African Americans, and perhaps other people of color, likely contribute to these health care disparities. This paper selectively reviews studies published after 2003 on the likely contribution of physicians' unconscious bias to US health care disparities. All studies used the Implicit Association Test which quantifies the relative speed with which individuals associate positive attributes like "intelligent" with Whites compared to Blacks or Latino/as. In addition to assessing physicians' unconscious attitudes toward patients, some studies focused on the behavioral and affective dimensions of doctor-patient communication, such as physicians' "verbal dominance" and whether patients felt respected. Studies reviewed found a "pro-white" unconscious bias in physicians' attitudes toward and interactions with patients, though some evidence suggests that Black and female physicians may be less prone to such bias. Limited social contact between White physicians and racial/ethnic minorities outside of medical settings, plus severe time pressures physicians often face during encounters with patients who have complex health problems could heighten their susceptibility to unconscious bias.

Color-Blind and Multicultural Strategies in Medical Settings

Recently, scholars have called for research that systematically examines the role of race and culture in shaping communication during racially discordant practitioner-patient interactions (i.e., patient and physician from different racial ethnic groups). In this review, we focus on two conceptual frameworks that influence the way people think about race, and subsequently, how they interact with others of a different race: color blindness and multiculturalism. We integrate basic social psychological research on interracial laboratory interactions with research on the markers of successful practitioner-patient communication to discuss how these two strategies shape interactions between Black patients and non-Black practitioners. Given that racial discrimination is often addressed within medical education and training contexts, we also discuss how these two strategies influence how practitioners are trained to talk about race. We conclude by offering practical suggestions as to how medical interactions can be improved by taking into consideration how color-blind and multicultural strategies shape behaviors within medical settings.

A comparison of race-related pain stereotypes held by White and Black individuals

Pain judgments are the basis for pain management. The purpose of this study was to assess Black and White participants' race-related pain stereotypes. Undergraduates (n=551) rated the pain sensitivity and willingness to report pain for the typical Black person, White person, and themselves. Participants, regardless of race, rated the typical White person as being more pain sensitive and more willing to report pain than the typical Black person. White participants rated themselves as less sensitive and less willing to report pain than same-race peers; however, Black participants rated themselves as more pain sensitive and more willing to report pain than same-race peers. These findings highlight similarities and differences in racial stereotypic pain beliefs held by Black and White individuals.

Determinants of racial differences in survival for sinonasal cancer

OBJECTIVES/HYPOTHESIS

Racial differences in survival are present across multiple cancer types, including sinonasal cancer. Thus far in the literature, reasons for this have been theorized but not proven. We aimed to examine proposed potential factors and understand the true determinants in racial differences for survival in sinonasal cancer.

STUDY DESIGN

Utilizing the U.S. National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2000-2008), we analyzed multiple demographic, tumor-related, and treatment-related factors. Use of the Medicare subset allows much deeper examination of patient and treatment factors than the usual SEER database study.

METHODS

Univariate analysis and multivariate Cox proportional hazard regression models were used.

RESULTS

Eight hundred and forty-five patients remained after exclusion criteria. Five-year cause-specific survival (CSS) was 62%, with a racial difference confirmed because non-Hispanic whites (NHW) and blacks and Hispanic whites (B/HW) demonstrated 64% and 52% CSS, respectively. After multivariate analysis, factors significantly determining racial survival were age, stage, histology, grade, comorbidity status, and standard of care.

CONCLUSION

This study confirms the difference in racial survival in sinonasal cancer. In opposition to popular theories of access to care and education level- and poverty level-determining outcomes, those factors were not significant on multivariate analysis, whereas stage and receiving standard of care, determined by unimodality versus multimodality treatment appropriate to stage, were the two most important prognostic factors.

LEVEL OF EVIDENCE

2c. Laryngoscope, 126:2022-2028, 2016.

American Indians' response to physical pain: functional limitations and help-seeking behaviors

Seventy-five American Indians, ages 25 to 84, representing 14 tribal nations, participated in this study. The historical, cultural, and behavioral responses to physical pain were examined. Data were collected over a 7-month period with a survey instrument that included the Universal Pain Scale, activities of daily living, causes of pain, cultural beliefs, and self-help-seeking behaviors. Also, recommendations for Western biomedical health care professionals are offered to improve services for the American Indian population. Findings demonstrate that culture plays a crucial role in wellness and significantly affects help-seeking behaviors, treatment regimens, responses to pain, and pain management.

Racial differences in opiate administration for pain relief at an academic emergency department

INTRODUCTION

The decision to treat pain in the emergency department (ED) is a complex, idiosyncratic process. Prior studies have shown that EDs undertreat pain. Several studies demonstrate an association between analgesia administration and race. This is the first Midwest single institution study to address the question of race and analgesia, in addition to examining the effects of both patient and physician characteristics on race-based disparities in analgesia administration.

METHODS

This was a retrospective chart review of patients presenting to an urban academic ED with an isolated diagnosis of back pain, migraine, or long bone fracture (LBF) from January 1, 2007 to December 31, 2011. Demographic and medication administration information was collected from patient charts by trained data collectors blinded to the hypothesis of the study. The primary outcome was the proportion of African-Americans who received analgesia and opiates, as compared to Caucasians, using Pearson's chi-squared test. We developed a multiple logistic regression model to identify which physician and patient characteristics correlated with increased opiate administration.

RESULTS

Of the 2,461 patients meeting inclusion criteria, 57% were African-American and 30% Caucasian (n=2136). There was no statistically significant racial difference in the administration of any analgesia (back pain: 86% vs. 86%, p=0.81; migraine: 83% vs. 73%, p=0.09; LBF: 94% vs. 90%, p=0.17), or in opiate administration for migraine or LBF. African-Americans who presented with back pain were less likely to receive an opiate than Caucasians (50% vs. 72%, p<0.001). Secondary outcomes showed that higher acuity, older age, physician training in emergency medicine, and male physicians were positively associated with opiate administration. Neither race nor gender patient-physician congruency correlated with opiate administration.

CONCLUSION

No race-based disparity in overall analgesia administration was noted for all three conditions: LBF, migraine, and back pain at this institution. A race-based disparity in the likelihood of receiving opiate analgesia for back pain was observed in this ED. The etiology of this is likely multifactorial, but understanding physician and patient characteristics of institutions may help to decrease the disparity by raising awareness of practice patterns and can provide the basis for quality improvement projects.

The interaction of patient race, provider bias, and clinical ambiguity on pain management decisions

Although racial disparities in pain care are widely reported, much remains to be known about the role of provider and contextual factors. We used computer-simulated patients to examine the influence of patient race, provider racial bias, and clinical ambiguity on pain decisions. One hundred twenty-nine medical residents/fellows made assessment (pain intensity) and treatment (opioid and nonopioid analgesics) decisions for 12 virtual patients with acute pain. Race (black/white) and clinical ambiguity (high/low) were manipulated across vignettes. Participants completed the Implicit Association Test and feeling thermometers, which assess implicit and explicit racial biases, respectively. Individual- and group-level analyses indicated that race and ambiguity had an interactive effect on providers' decisions, such that decisions varied as a function of ambiguity for white but not for black patients. Individual differences across providers were observed for the effect of race and ambiguity on decisions; however, providers' implicit and explicit biases did not account for this variability. These data highlight the complexity of racial disparities and suggest that differences in care between white and black patients are, in part, attributable to the nature (ie, ambiguity) of the clinical scenario. The current study suggests that interventions to reduce disparities should differentially target patient, provider, and contextual factors.

PERSPECTIVE

This study examined the unique and collective influence of patient race, provider racial bias, and clinical ambiguity on providers' pain management decisions. These results could inform the development of interventions aimed at reducing disparities and improving pain care.