Racial-Ethnic Disparities in Opioid Prescriptions at Emergency Department Visits for Conditions Commonly Associated with Prescription Drug Abuse

Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework

OBJECTIVE

There are signals of clinicians' expert and knowledge-driven behaviors within clinical information systems (CIS) that can be exploited to support clinical prediction. Describe development of the Healthcare Process Modeling Framework to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals).

MATERIALS AND METHODS

We employed an iterative framework development approach that combined data-driven modeling and simulation testing to define and refine a process for phenotyping clinician behaviors. Our framework was developed and evaluated based on the Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) predictive model to detect and leverage signals of clinician expertise for prediction of patient trajectories.

RESULTS

Seven themes-identified during development and simulation testing of the CONCERN model-informed framework development. The HPM-ExpertSignals conceptual framework includes a 3-step modeling technique: (1) identify patterns of clinical behaviors from user interaction with CIS; (2) interpret patterns as proxies of an individual's decisions, knowledge, and expertise; and (3) use patterns in predictive models for associations with outcomes. The CONCERN model differentiated at risk patients earlier than other early warning scores, lending confidence to the HPM-ExpertSignals framework.

DISCUSSION

The HPM-ExpertSignals framework moves beyond transactional data analytics to model clinical knowledge, decision making, and CIS interactions, which can support predictive modeling with a focus on the rapid and frequent patient surveillance cycle.

CONCLUSIONS

We propose this framework as an approach to embed clinicians' knowledge-driven behaviors in predictions and inferences to facilitate capture of healthcare processes that are activated independently, and sometimes well before, physiological changes are apparent.

Avoidable Hospitalizations And Observation Stays: Shifts In Racial Disparities

Racial disparities in hospitalization rates for ambulatory care-sensitive conditions are concerning and may signal differential access to high-quality ambulatory care. Whether racial disparities are improving as a result of better ambulatory care versus artificially narrowing because of increased use of observation status is unclear. Using Medicare data for 2011-15, we sought to determine whether black-white disparities in avoidable hospitalizations were improving and evaluated the degree to which changes in observations for ambulatory care-sensitive conditions may be contributing to changes in these gaps. We found that while the racial gap in avoidable hospitalizations due to such conditions has decreased, that seems to be explained by a concomitant increase in the gap of avoidable observation stays. This suggests that changes from inpatient admissions to observation status seem to be driving the reduction in racial disparities in avoidable hospitalizations, rather than changes in the ambulatory setting.

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.

Outcomes of an Intervention to Increase Physicians Underrepresented in Medicine in Occupational Medicine Training

CONTEXT

Diversity in the US physician workforce is important. Physicians Underrepresented in Medicine (UIM) are more likely to serve poor, uninsured, and vulnerable populations.

OBJECTIVE

To increase the number of UIM physicians in Occupational Medicine.

PROGRAM

An Inclusion and Diversity Committee, consisting of the program director, trainees, and graduates, was created with the goal of recruiting and developing UIM residents and increasing Occupational and Environmental Medicine awareness. Outreach to UIM residents and medical students at local, regional, and national meetings, creation and distribution of descriptive brochures, and supervised 1-day observerships were some of the interventions.

RESULTS

Only 4 Underrepresented Minorities physicians out of 65 (6%) graduated during the first decade of the program 1997-2007; this increased to (16/70) 23% during the following decade subsequent to establishing the Inclusion and Diversity Committee.

CONCLUSION

A multifaceted strategic approach can help increase UIM physician participation in graduate training programs, helping address health equity.

Race, pain, and opioids among patients with chronic pain in a safety-net health system

BACKGROUND

Recent changes in opioid prescribing practices in the US may exacerbate disparities in opioid access among Black compared to White patients.

METHODS

To evaluate racial disparities in opioid prescribing and stewardship, we used baseline data collected from 2017 to 2019 for a longitudinal cohort of patients with chronic non-cancer pain and a history of illicit substance use. Sociodemographic characteristics, pain, psychological distress, substance use, and opioid prescription practices were compared between Black and White participants. We conducted multivariable logistic regression with race as the outcome. We also compared yellow flag events (opioid-related emergency department visits, illicit substances on urine drug screens, provider-documentation of concerning behaviors) by race.

RESULTS

Over half of participants analyzed were Black (57%) and the remainder White (43%). Participants with worse average pain in the past three months (adjusted odds ratio [AOR]:1.29, 95%CI:1.08-1.55, p = 0.006) had higher odds of being Black. Past-year injection drug use (AOR:0.39, 95%CI:0.16-0.94, p = 0.04) and a higher past-year maximum opioid dose (AOR per 10 morphine milligram equivalents (MME):0.99, 95%CI:0.98-1.00, p = 0.006) were associated with lower odds of being Black. We found no differences by race in the use of opioid stewardship measures or discontinuation of opioids based on yellow flag events.

CONCLUSION

Lower past-year maximum MME dose, despite higher average pain and less injection drug use, may represent bias away from prescribing opioids for chronic pain among Black patients. This could be due to unmeasured implicit provider bias or patient-level factors (e.g., utilizing non-opioid pain coping strategies or being less likely to request additional opioids).

Ethnic disparities in pain processing among healthy adults: μ-opioid receptor binding potential as a putative mechanism

Although ethnic differences in pain perception are well documented, the underlying mechanism for these outcomes has not been established. µ-opioid receptor (MOR) function might contribute to this disparity, given that MORs play a key role in pain sensitivity and modulation. However, no study has characterized ethnic differences in MOR physiology. This study sought to address this knowledge gap by examining differences in µ-selective agonist binding potential (BPND; [C]-Carfentanil) between 27 non-Hispanic black (NHB) and 27 demographically similar, non-Hispanic white participants. Participants completed questionnaires and two 90-minute high-resolution research tomograph positron emission tomography (PET) imaging sessions. During PET imaging, a capsaicin or control cream was applied to individuals' arms, and pain ratings were collected. Bonferroni-corrected PET volumes of interest analyses revealed significantly greater [C]-Carfentanil BPND among NHB participants in bilateral ventral striatum ([left]: F1,52 = 16.38, P < 0.001; [right]: F1,52 = 21.76, P < 0.001), bilateral dorsolateral prefrontal cortex ([left] F1,52 = 17.3, P < 0.001; [right]: F1,52 = 14.17, P < 0.001), bilateral subgenual anterior cingulate cortex ([left]: F1,52 = 10.4, P = 0.002; [right]: F1,52 = 12.91, P = 0.001), and right insula (F1,52 = 11.0, P = 0.002). However, there were no significant main effects of condition or ethnicity × condition interaction effects across models, likely attributable to individual variability in the direction of change within groups. BPND values were significantly correlated with pain ratings collected during the capsaicin condition (r range = 0.34-0.46, P range = 0.01-0.001). Results suggest that NHB individuals might have generally greater unoccupied MOR density than non-Hispanic white peers. Findings have implications for physiological differences underlying ethnicity-related pain disparities. If replicated, these results further emphasize the need for tailored treatments in historically underserved populations.

Examining black and white racial disparities in emergency department consultations by age and gender

BACKGROUND

While significant racial inequities in health outcomes exist in the United States, these inequities may also exist in healthcare processes, including the Emergency Department (ED). Additionally, gender has emerged in assessing racial healthcare disparity research. This study seeks to determine the association between race and the number and type of ED consultations given to patients presenting at a safety-net, academic hospital, which includes a level-one trauma center.

METHOD

Retrospective data was collected on the first 2000 patients who arrived at the ED from 1/1/2015-1/7/2015, with 532 patients being excluded. Of the eligible patients, 77% (74.6% adults and 80.7% pediatric patients) were black and 23% (25.4% adults and 19.3% pediatric patients) were white.

RESULTS

White and black adult patients receive similar numbers of ED consultations and remained after gender stratification. White pediatric males have a 91% higher incidence of receiving an ED consultation in comparison to their white counterparts. No difference was found between black and white adult patients when assessing the risk of receiving consultations. White adult females have a 260% higher risk of receiving both types of consultations than their black counterparts. Black and white pediatric patients had the same risk of receiving consultations, however, white pediatric males have a 194% higher risk of receiving a specialty consultation as compared to their white counterparts.

DISCUSSION

Future work should focus on both healthcare practice improvements, as well as explanatory and preventive research practices. Healthcare practice improvements can encompass development of appropriate racial bias trainings and institutionalization of conversations about race in medicine.

Emergency department presentation of opioid use disorder and alcohol use disorder

Mixing alcohol and opioid prescription medications can have serious health consequences. This study examines demographic and geographic differences in opioid use disorders (OUD) and alcohol use disorders (AUD) in emergency department (ED) presentations in the state of Texas. Using all diagnosis codes, the study examined discharge records for ED visits related to AUD and OUD in Texas for 2017. The study classified visits into three mutually exclusive groups (AUD-only, OUD-only, and AUD/OUD) and reported the number of visits, fatalities, total charges, proportions, and rates per 100,000 population by patient demographic characteristics. Chi square statistics assessed the association between patient characteristics and ED visit type, and the study used analysis of variance to compare ED visit rates by patient demographics. The study also fitted a multinomial logistic regression w to predict ED visit type by patient demographic and geographic characteristics. There were 221,363 OUD and AUD ED visits from Texans in 2017. Among them, 3863 had both AUD and OUD. There were 2443 fatalities related to AUD-only ED visits, whereas this rate was 292 for OUD-only ED visits. The majority of these patients had Medicare and Medicaid. AUD-only ED visits were more prevalent (680.7 vs 112.5 per 100,000 population) and resulted in higher overall charges than OUD-only ED visits ($6.1 billion vs $1 billion in total charges). However, AUD/OUD ED visits resulted in higher total charges on average than either OUD-only or AUD-only ED visits. Compared to patients with outpatient discharge, patients with inpatient admissions were more likely to belong to the OUD-only visit group (OR = 1.20, 95% CI: 1.17-1.23) or the AUD/OUD visit group (OR = 2.44, 95% CI: 2.28-2.61) than to the AUD-only visit group. Compared to urban patients, rural patients were less likely to belong to OUD-related visit groups than the AUD-only visit group. In conclusions, AUD was more prevalent than OUD among ED visits and resulted in a higher number of fatalities and higher medical charges. Current health policy regarding substance use that is heavily tilted toward curbing the opioid crisis remains woefully tolerant to AUDs. While efforts to curb opioid misuse should continue, future efforts should raise awareness among ED providers of the disease burden of and social harms caused by alcoholism and alcohol addiction.

Discharge Opioid Prescription Patterns After Kidney Cancer Surgery

OBJECTIVE

To describe opioid prescribing patterns for patients undergoing kidney cancer surgery and evaluate associations with medical resource utilization in the postoperative setting.

METHODS

Linked Surveillance, Epidemiology, and End Results - Medicare data were used to identify patients with kidney cancer who underwent partial or radical nephrectomy (open vs. minimally invasive) from 2007 to 2015. Total dose of discharge opioid prescriptions was quantified into 3 exposure groups based on observed tertiles: 1-199 (low), 200-300 (moderate), and >300 (high) oral morphine milligram equivalents. Associations between exposure groups and patient demographics, clinical factors, and hospital volumes were measured using multivariate logistic regression. Additionally, we identified associations with prior opioid exposure and postoperative medical resource utilization.

RESULTS

Of 4538 patients meeting inclusion criteria, exposure group distributions were 35% (low), 43.5% (moderate) and 21.6% (high). Over one-third of patients (39.5%) received an opioid prescription within 6 months preceding surgery. High opioid prescriptions were associated with prior exposure, younger age, rural residence and open surgery (P < .001). High opioid prescriptions had increased risk of 90-day readmissions (OR 1.21; CI 1.01-1.45) and long-term opioid exposure (OR 1.34; CI 1.17-1.53).

CONCLUSION

Prescribing patterns after kidney cancer surgery vary widely. Higher prescribed dose of post-surgical opioids is associated with 90-day hospital readmissions and long-term exposure. Prior opioid exposure conveys a higher risk of medical resource utilization. More judicious opioid prescribing may limit medical resource utilization and help combat the opioid epidemic.

The Opioid Epidemic and Nonmarital Childbearing in the United States, 2000-2016

The United States has experienced a dramatic rise in opioid addiction and opioid overdose deaths in recent years. We investigate the effect of the opioid epidemic at the local level on nonmarital fertility using aggregate- and individual-level analyses. Opioid overdose death rates and prescriptions per capita are used as indicators of the intensity of the opioid epidemic. We estimate area fixed-effects models to test the effect of the opioid epidemic on nonmarital birth rates obtained from vital statistics for 2000-2016. We find an increase in nonmarital birth rates in communities that experienced a rise in opioid overdose deaths and higher prescription rates. Our analyses also show that the local effect of the opioid epidemic is not driven by a reduction in marriage rates and that marital birth rates are unaffected. Individual-level data from the ACS 2008-2016 are then used to further assess the potential causal mechanisms and to test heterogeneous effects by education and race/ethnicity. Our findings suggest that the opioid epidemic increased nonmarital birth rates through social disruptions primarily affecting unmarried women but not through changes in their economic condition.

Multidisciplinary Management of a Frequent Attender With Pyrexia of Unknown Origin and Psychotic Symptoms

This case report details the multidisciplinary management of a frequent attender in his early 50s with no fixed abode who presented with pyrexia of unknown origin, complicated by his noncooperation with intervention and treatment because of the development of psychotic symptoms. The case required the involvement of liaison psychiatry, anesthesia, cardiology, radiology, gastroenterology, rheumatology, respiratory, hematology, and social services, highlighting not just multidisciplinary intervention but the benefits of working with a multispeciality team. The patient had previously presented to the emergency department 47 times over an 18-month period. The management during his most recent inpatient stay resulted in the patient living independently and presenting to the hospital only once over the ensuing 7 months.

Neuraxial Analgesia in Pregnant Hispanic Women: An Assessment of Their Beliefs and Expectations

Background

The presence of racial/ethnic disparities in the use of neuraxial labor analgesia for childbirth has been previously described. The purpose of this study was to assess the childbirth pain management beliefs among a small sample of pregnant Hispanic women and to evaluate the Spanish translation accuracy of the Childbirth Pain Scale (CPBS).

Methods

To collect data, we interviewed 20 pregnant Spanish-speaking women using an interview guide, a demographic datasheet, and the CPBS a 15-item survey. Interviews were transcribed verbatim, translated, and uploaded to ethnograph v6. Descriptive statistics and thematic analysis were used to analyze the data.

Results

Most of the participants were from Mexico (n=16) and Central America (n=4), mean age was 28.3, and all (n=20) spoke Spanish as their primary language. In this sample, 80% of nulliparous and 100% of multiparous women saw pain as having a positive role in delivery. Four major themes emerged from the data: Theme 1: Normalcy of childbirth pain (pain is good), Theme 2: Availability and role of pain medication, Theme 3: Naturalistic strategies to endure pain, and Theme 4: Fear of the unknown/childbirth process. In this sample, 18 of 20 women stated they did not want epidural analgesia unless medically indicated. During labor and delivery 100% of nulliparous and 25% of multiparas chose to receive epidural analgesia. No changes were requested by the participants regarding the translation of the CPBS.

Conclusion

Childbirth pain was seen as a valuable component of the birthing process. The majority of participants believed pain medication should be avoided unless medically necessary. These results suggest that racial/ethnic disparities in the use of epidural analgesia may partially reflect patient beliefs and preferences. It is crucial to be aware of these differences to optimize shared decision-making for women in this vulnerable patient population.

Identifying sociodemographic profiles of veterans at risk for high-dose opioid prescribing using classification and regression trees

OBJECTIVE

To identify sociodemographic profiles of patients prescribed high-dose opioids.

DESIGN

Cross-sectional cohort study.

SETTING/PATIENTS

Veterans dually-enrolled in Veterans Health Administration and Medicare Part D, with ≥1 opioid pre-scription in 2012.

MAIN OUTCOME MEASURES

We identified five patient-level demographic characteristics and 12 community variables re-flective of region, socioeconomic deprivation, safety, and internet connectivity. Our outcome was the proportion of vet-erans receiving >120 morphine milligram equivalents (MME) for ≥90 consecutive days, a Pharmacy Quality Alliance measure of chronic high-dose opioid prescribing. We used classification and regression tree (CART) methods to identify risk of chronic high-dose opioid prescribing for sociodemographic subgroups.

RESULTS

Overall, 17,271 (3.3 percent) of 525,716 dually enrolled veterans were prescribed chronic high-dose opioids. CART analyses identified 35 subgroups using four sociodemographic and five community-level measures, with high-dose opioid prescribing ranging from 0.28 percent to 12.1 percent. The subgroup (n = 16,302) with highest frequency of the outcome included veterans who were with disability, age 18-64 years, white or other race, and lived in the Western Census region. The subgroup (n = 14,835) with the lowest frequency of the outcome included veterans who were with-out disability, did not receive Medicare Part D Low Income Subsidy, were >85 years old, and lived in communities within the second and sixth to tenth deciles of community public assistance.

CONCLUSIONS

Using CART analyses with sociodemographic and community-level variables only, we identified sub-groups of veterans with a 43-fold difference in chronic high-dose opioid prescriptions. Interactions among disability, age, race/ethnicity, and region should be considered when identifying high-risk subgroups in large populations.

Disparities in all-cause mortality with potentially inappropriate medication use: Analysis of the Reasons for Geographic and Racial Differences in Stroke study

OBJECTIVES

Health disparities across different socioeconomic subgroups have been reported in previous studies. Mortality with potentially inappropriate medication (PIM) use may be subject to similar disparities. We aimed to assess the association between PIM use and all-cause mortality and the effect of disparity parameters (sex, race, income, education, and location of residence) on this relationship.

METHODS

This longitudinal cohort study included 26,399 U.S. adults aged 45 years and older from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, of which 13,475 participants were aged 65 years and older (recruited 2003-2007). PIM use and drug-drug interactions (DDIs) were identified through the 2015 Beers Criteria and a clinically significant DDIs list by the American Family Physicians, respectively. Cox regression was used to assess disparities in mortality with PIM use, iteratively adjusting for disparity parameters and other covariates. The full models included interaction terms between PIM use and other covariates. A similar method was used for the analyses of disparities in mortality with DDIs.

RESULTS

Approximately 87% of older adults used at least 1 drug listed in the Beers Criteria, and 3.8% of all participants used 2 or more drugs with DDIs. In the adjusted analysis, an increased risk of mortality was observed among whites with PIM use (hazard ratio [HR] = 1.27 [95% CI 1.10-1.47]). The higher mortality rate was observed among blacks without PIM use (1.34 [1.09-1.65]). Lower income and education were independent predictors for higher mortality.

CONCLUSION

Racial differences in all-cause mortality with PIM use were observed. Further research is needed to better understand the contributing factors of such disparities to develop appropriate interventions.

Wearable Devices: Current Status and Opportunities in Pain Assessment and Management

INTRODUCTION

We investigated the possibilities and opportunities for using wearable devices that measure physical activity and physiometric signals in conjunction with ecological momentary assessment (EMA) data to improve the assessment and treatment of pain.

METHODS

We considered studies with cross-sectional and longitudinal designs as well as interventional or observational studies correlating pain scores with measures derived from wearable devices. A search was also performed on studies that investigated physical activity and physiometric signals among patients with pain.

RESULTS

Few studies have assessed the possibility of incorporating wearable devices as objective tools for contextualizing pain and physical function in free-living environments. Of the studies that have been conducted, most focus solely on physical activity and functional outcomes as measured by a wearable accelerometer. Several studies report promising correlations between pain scores and signals derived from wearable devices, objectively measured physical activity, and physical function. In addition, there is a known association between physiologic signals that can be measured by wearable devices and pain, though studies using wearable devices to measure these signals and associate them with pain in free-living environments are limited.

CONCLUSION

There exists a great opportunity to study the complex interplay between physiometric signals, physical function, and pain in a real-time fashion in free-living environments. The literature supports the hypothesis that wearable devices can be used to develop reproducible biosignals that correlate with pain. The combination of wearable devices and EMA will likely lead to the development of clinically meaningful endpoints that will transform how we understand and treat pain patients.

The Opioid-overdose Reduction Continuum of Care Approach (ORCCA): Evidence-based practices in the HEALing Communities Study

BACKGROUND

The number of opioid-involved overdose deaths in the United States remains a national crisis. The HEALing Communities Study (HCS) will test whether Communities That HEAL (CTH), a community-engaged intervention, can decrease opioid-involved deaths in intervention communities (n = 33), relative to wait-list communities (n = 34), from four states. The CTH intervention seeks to facilitate widespread implementation of three evidence-based practices (EBPs) with the potential to reduce opioid-involved overdose fatalities: overdose education and naloxone distribution (OEND), effective delivery of medication for opioid use disorder (MOUD), and safer opioid analgesic prescribing. A key challenge was delineating an EBP implementation approach useful for all HCS communities.

METHODS

A workgroup composed of EBP experts from HCS research sites used literature reviews and expert consensus to: 1) compile strategies and associated resources for implementing EBPs primarily targeting individuals 18 and older; and 2) determine allowable community flexibility in EBP implementation. The workgroup developed the Opioid-overdose Reduction Continuum of Care Approach (ORCCA) to organize EBP strategies and resources to facilitate EBP implementation.

CONCLUSIONS

The ORCCA includes required and recommended EBP strategies, priority populations, and community settings. Each EBP has a "menu" of strategies from which communities can select and implement with a minimum of five strategies required: one for OEND, three for MOUD, and one for prescription opioid safety. Identification and engagement of high-risk populations in OEND and MOUD is an ORCCArequirement. To ensure CTH has community-wide impact, implementation of at least one EBP strategy is required in healthcare, behavioral health, and criminal justice settings, with communities identifying particular organizations to engage in HCS-facilitated EBP implementation.

Disparities in the appropriateness of medication use: Analysis of the REasons for Geographic And Racial Differences in Stroke (REGARDS) population-based cohort study

BACKGROUND

Prior work has identified disparities in the quality and outcomes of healthcare across socioeconomic subgroups. Medication use may be subject to similar disparities.

OBJECTIVE

To assess the association between demographic and socioeconomic factors (gender, age, race, income, education, and rural or urban residence) and appropriateness of medication use.

METHODS

US adults aged ≥45 years (n = 26,798) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study were included in the analyses, of which 13,623 participants aged ≥65 years (recruited 2003-2007). Potentially inappropriate medication (PIM) use in older adults and drug-drug interactions (DDIs) were identified through 2015 Beers Criteria and clinically significant drug interactions list by Ament et al., respectively as measures of medication appropriateness. Multivariable logistic regression was used to assess the association of disparity parameters with PIM use and DDIs. Interactions between race and other disparity variables were investigated.

RESULTS

Approximately 87% of the participants aged ≥65 years used at least one drug listed in the Beers Criteria, and 3.8% of all participants used two or more drugs with DDIs. Significant gender-race interaction across prescription-only drug users revealed that white females compared with white males (OR = 1.33, 95% CI 1.20-1.48) and black males compared with white males (OR = 1.60, 95% CI 1.41-1.82) were more likely to receive PIM. Individuals with lower income and education also were more likely to use PIM in this sub-group. Females were less likely than males (female vs. male: OR = 0.55, 95% CI 0.48-0.63) and individuals resided in small rural areas as opposed to urban areas (small rural vs. urban: OR = 1.37, 95% CI 1.07-1.76) were more likely to have DDIs.

CONCLUSION

Demographic and socioeconomic disparities in PIM use and DDIs exist. Future studies should seek to better understand factors contributing to the disparities in order to guide development of interventions.

Opioid-related overdose deaths among African Americans: Implications for research, practice and policy

Opioid-related overdose deaths among African Americans have only recently received national attention despite evidence of increase in death rates among this population spanning the past decade. Numerous authors have highlighted how the 'opioid epidemic' has largely been portrayed as a problem mostly affecting White America. The purpose of this commentary is to provide a synthesis spotlighting the unique structural and cultural considerations involved in research, practice and policy related to opioid use and treatment for opioid use disorders among African Americans. The commentary concludes with considerations for future research and practice intended to reduce deaths among this group.

Predictors of emergency department opioid administration and prescribing: A machine learning approach

INTRODUCTION

The opioid epidemic has altered normative clinical perceptions on addressing both acute and chronic pain, particularly within the Emergency Department (ED) setting, where providers are now confronted with balancing pain management and potential abuse. This study aims to examine patient sociodemographic and ED clinical characteristics to comprehensively determine predictors of opioid administration during an ED visit (ED-RX) and prescribing upon discharge (DC-RX).

METHODS

ED visit data of patients ≥18 years old from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 2014 to 2017 were used. Opioid prescriptions were determined utilizing Lexicon narcotic drug classifications. Visit characteristics studied included sociodemographic variables, and ED clinical variables, such as chief complaint, and discharge diagnosis. Machine learning methods were used to determine predictors of ED-RX and DC-RX and weighted logistic regressions were performed using selected predictors.

RESULTS

Of the 44,227 ED visits identified, patients tended to be female (57.4%), and White (74.2%) with an average age of 46.4 years (SE = 0.3). Weighted proportions of ED-RX and DC-RX were 23.2% and 18.9%, respectively. The strongest predictors of ED-RX were CT scan ordered (OR = 2.18, 95% CI = 1.84-2.58), abdominal pain (OR = 1.93, 95% CI:1.59-2.34) and back pain (OR = 1.81, 95% CI:1.45-2.27). Tooth pain (OR = 6.94, 95% CI = 4.40-10.94) and fracture injury diagnoses (OR = 3.76, 95% CI = 2.72-5.19) were the strongest predictors of DC-RX.

CONCLUSIONS

These findings demonstrate the utility of machine learning for understanding clinical predictors of opioid administration and prescribing in the ED, and its potential in informing standardized prescribing recommendations and guidelines.

The relationship of opioid prescriptions and the educational performance of children

One of the more salient aspects of the opioid crisis in America has been the disparate impact it has had on communities. This paper considers the possibility that opioid abuse might have negative spillovers onto student performance in schools within the communities most affected. We use administrative data on individual children's test scores (grades 3 through 8) in South Carolina from the 2005-06 to 2016-17 academic years. These data are then linked to county-level changes in opioid prescriptions rates. Findings show that an increase in the opioid prescription rate in a county is associated with a statistically significant reduction in white student test scores, but no such decline was found among non-white students. This relationship is robust to controls for changing county-level economic conditions, time-varying controls for student-level poverty, county characteristics, and county time trends. Among white students, the association is strongest among rural students in households that are not receiving SNAP or TANF benefits. Given the importance of educational attainment, this reduction in test scores associated with high rates of opioid prescriptions may indicate that there will be long-lasting spillover effects of the opioid crisis.

Race, Ethnicity, and Insurance: the Association with Opioid Use in a Pediatric Hospital Setting

BACKGROUND

This study examined the association between race/ethnicity and health insurance payer type with pediatric opioid and non-opioid ordering in an inpatient hospital setting.

METHODS

Cross-sectional inpatient encounter data from June 2013 to June 2018 was retrieved from a pediatric children's hospital in Southern California (N = 55,944), and statistical analyses were performed to determine associations with opioid ordering.

RESULTS

There was a significant main effect of race/ethnicity on opioid and non-opioid orders. Physicians ordered significantly fewer opioid medications, but a greater number of non-opioid medications, for non-Hispanic African American children than non-Hispanic Asian, Hispanic/Latinx, and non-Hispanic White pediatric patients. There was also a main effect of health insurance payer type on non-opioid orders. Patients with government-sponsored plans (e.g., Medi-Cal, Medicare) received fewer non-opioid prescriptions compared with patients with both HMO and PPO coverage. Additionally, there was a significant race/ethnicity by insurance interaction on opioid orders. Non-Hispanic White patients with "other" insurance coverage received the greatest number of opioid orders. In non-Hispanic African American patients, children with PPO coverage received fewer opioids than those with government-sponsored and HMO insurance. For non-Hispanic Asian patients, children with PPO were prescribed more opioids than those with government-sponsored and HMO coverage.

CONCLUSION

Findings suggest that the relationship between race/ethnicity, insurance type, and physician decisions opioid prescribing is complex and multifaceted. Given that consistency in opioid prescribing should be seen regardless of patient background characteristics, future studies should continue to assess and monitor unequitable differences in care.

Prescription opioid use and associated factors among US construction workers

BACKGROUND

Construction workers are among the segments of the US population that were hit hardest by the opioid prescription and overdose deaths in the past decades. Factors that underlie opioid use in construction workers have been compartmentalized and isolated in existing studies of opioid use and opioid overdose, but they ignore the overall context of their use. This study examines prescription opioid use and its association with a variety of occupational and nonoccupational factors in construction workers in the United States.

METHODS

Data from the 2011-2017 Medical Expenditure Panel Survey (n = 7994) were analyzed. The prevalence of prescribed opioid use and the association with occupational and nonoccupational characteristics among construction workers were examined in four multiple logistic regression models.

RESULTS

The odds of prescription opioid use for workers with occupational injuries was more than triple that of their noninjured counterparts when demographics and occupational factors were controlled (odds ratio = 3.38, 95% confidence interval: 2.38-4.81). Odds of prescription opioid use were higher in older construction workers, workers who were white, non-Hispanic, working part-time, and in poorer health, while Hispanic workers and those without health insurance were much less likely to report prescription opioid use.

CONCLUSIONS

Prescription opioid use among construction workers encompasses both occupational and nonoccupational factors. As an insight into opioid use among construction workers becomes clearer, effectively responding to the opioid crisis remains a challenge.

Disparities in Care: The Role of Race on the Utilization of Physical Restraints in the Emergency Setting

OBJECTIVE

Race-based bias in health care occurs at organizational, structural, and clinical levels and impacts emergency medical care. Limited literature exists on the role of race on patient restraint in the emergency setting. This study sought to examine the role of race in physical restraint in an emergency department (ED) at a major academic medical center.

METHODS

Retrospective chart analysis was performed, querying all adult ED visits over a 2-year period (2016-2018) at Massachusetts General Hospital. The associations between race and restraint and selected covariates (sex, insurance, age, diagnosis, homelessness, violence) were analyzed.

RESULTS

Of the 195,092 unique ED visits by 120,469 individuals over the selected period, 2,658 (1.4%) involved application of a physical restraint by health care providers. There was a significant effect of race on restraint (p < 0.0001). The risk ratio (RR) for Asian patients compared to white patients was 0.71 (95% confidence interval [CI] = 0.55 to 0.92, p = 0.009). The RR for Black patients compared to white patients was 1.22 (95% CI = 1.05 to 1.40, p = 0.007). Visits with patients having characteristics of male sex, public or no insurance, younger age, diagnoses pertaining to substance use, diagnoses pertaining to psychotic or bipolar disorders, current homelessness, and a history of violence were more likely to result in physical restraint.

CONCLUSIONS

There was a significant effect of race on restraint that remained when controlling for sex, insurance, age, diagnosis, homelessness, and history of violence, all of which additionally conferred independent effects on risk. These results warrant a careful examination of current practices and potential biases in utilization of restraint in emergency settings.

Variation in opioid analgesia administration and discharge prescribing for emergency department patients with suspected urolithiasis

OBJECTIVE

Previous research has suggested caution about opioid analgesic usage in the emergency department (ED) setting and raised concerns about variations in prescription opioid analgesic usage, both across institutions and for whom they are prescribed. We examined opioid analgesic usage in ED patients with suspected urolithiasis across fifteen participating hospitals.

METHODS

This is a secondary analysis of a clinical trial including adult ED patients with suspected urolithiasis. In multilevel models accounting for clustering by hospital, we assessed demographic, clinical, state-level, and hospital-level factors associated with opioid analgesic administration during the ED visit and prescription at discharge.

RESULTS

Of 2352 participants, 67% received an opioid analgesic during the ED visit and 61% were prescribed one at discharge. Opioid analgesic usage varied greatly across hospitals, ranging from 46% to 88% (during visit) and 34% to 85% (at discharge). Hispanic patients were less likely than non-Hispanic white patients to receive opioid analgesics during the ED visit (OR 0.72, 95% CI 0.55-0.94). Patients with higher education (OR 1.29, 95% CI 1.05-1.59), health insurance coverage (OR 1.27, 95% CI 1.02-1.60), or receiving care in states with a prescription drug monitoring program (OR 1.64, 95% CI 1.06-2.53) were more likely to receive an opioid analgesic prescription at ED discharge.

CONCLUSION

We found marked hospital-level differences in opioid analgesic administration and prescribing, as well as associations with education, healthcare insurance, and race/ethnicity groups. These data might compel clinicians and hospitals to examine their opioid use practices to ensure it is congruent with accepted medical practice.

Opioid dispensing among adult Medicaid enrollees by diabetes status

OBJECTIVE

Diabetes disproportionately affects low-income individuals, many of whom are covered by Medicaid. Comorbidities and complications of diabetes can lead to chronic pain; however, little is known about opioid use patterns among Medicaid enrollees with diabetes. This study examined opioid dispensing among Medicaid enrollees by diabetes status.

METHODS

Medicaid claims data from 2014 were used to examine opioid dispensing by diabetes status among 622,992 adult enrollees aged 19-64 years. A logistic model adjusting for demographics and comorbidities was used to examine the association between diabetes and opioid dispensing among enrollees. Analyses were completed in 2019.

RESULTS

Overall, 61.6% of enrollees with diabetes filled at least one opioid prescription compared to 31.8% of enrollees without diabetes. A higher proportion of enrollees with diabetes had long-term opioid prescriptions (>90 days' supply) (with diabetes: 51.0% vs. without: 32.1%, p < .001). Characteristics of individual prescriptions, including daily morphine milligram equivalents (45.9 vs. 49.4), formulation (percent short-acting: 91.5% vs. 90.7%), and type of opioids (i.e. percent hydrocodone: 46.7 vs. 45.3), were similar for those with and without diabetes. After adjustment, enrollees with diabetes were 1.43 times more likely to receive an opioid prescription compared to those without (95% CI, 1.40-1.46).

CONCLUSIONS

Medicaid enrollees with diabetes were prescribed opioids more frequently and were more likely to have longer opioid supply than enrollees without diabetes. For practitioners who care for patients with diabetes, aligning pain management approaches with evidence-based resources, like the CDC Guideline for Prescribing Opioids for Chronic Pain, can encourage safer opioid prescribing practices.

What Is Driving the Drug Overdose Epidemic in the United States?

The demand-side perspective argues that the drug overdose epidemic is a consequence of changes in the economy that leave behind working-class people who lack a college education. In contrast, the supply-side perspective maintains that the epidemic is primarily due to changes in the licit and illicit drug environment, whereas a third, distinct perspective argues that income inequality is likely a key driver of the epidemic. To evaluate these competing perspectives, we use a two-level random intercept model and U.S. state-level data from 2006 to 2017. Contrary to the demand-side approach, we find that educational attainment is not associated with drug-related mortality. In support of the supply-side approach, we provide evidence indicating that opioid prescription rates are positively associated with drug-related mortality. We also find that income inequality is a key driver of the epidemic, particularly the lack of resources going to the bottom 20% of earners. We conclude by arguing that considerations of income inequality are an important way to link the arguments made by the demand-side and the supply-side perspectives.

Cycles of Gender Convergence and Divergence in Drug Overdose Mortality

The United States is 25 years into a large-scale drug overdose epidemic, yet its consequences for gender differences remain largely unexplored. This study finds that drug overdose mortality increased seven- and fivefold for men and women, respectively; accounts for 0.8-year (men) and 0.4-year (women) deficits in life expectancy at birth in 2017; and has made an increasing contribution (from 1 percent to 17 percent) to women's life expectancy advantage at the prime adult ages between 1990 and 2017. I document a distinctive cyclicality to sex differences in drug overdose. During the epidemic's early stages - the heyday of prescription opioids - gender differences narrowed, but once the epidemic transitioned to illicit drugs in 2010, gender differences widened again. This pattern holds across racial/ethnic groups, and in fact may be even stronger among Hispanics and non-Hispanic Blacks than among non-Hispanic Whites. That we observe this gender dynamic across racial/ethnic groups is surprising since very different trends in drug overdose mortality have been observed for Whites versus other groups. The contemporary epidemic is a case of dynamic change in gender differences, and the differential mortality risks experienced by men and women reflect gendered social norms, attitudes towards risk, and patterns of diffusion.

Racial and Ethnic Disparities in Opioid Use Among US Adults With Back Pain

STUDY DESIGN

Retrospective cross-sectional study.

OBJECTIVES

The aim of this study was to examine whether there are racial and ethnic disparities in opioid use for back pain treatment. In addition, we examine whether physical therapy reduces opioid use.

SUMMARY OF BACKGROUND DATA

Back pain is a common health problem that affects most adults in their lifetime. Opioid and physical therapy are commonly used to treat back pain. While evidence indicates that there are substantial disparities in the receipt of opioids by race and ethnicity in opioid use in the United States, it remains unclear whether these disparities in opioid use exist in the treatment of back pain.

METHODS

Cross-sectional analysis of the 2010-2012 Medical Expenditures Panel Survey and logistic regression of a sample of about 4000 adults with back pain.

RESULTS

Logistic regression models showed statistically significant differences in opioids receipt by race among adult patients with back pain. Compared to White patients, Asian and Hispanic patients are less likely to be prescribed opioids. On the other hand, Black patients and patients of other race are more likely to receive an opioid prescription to treat their back pain even after accounting for socioeconomic status, health insurance status, and general health status. Additionally, patients who receive physical therapy treatment are less likely to be prescribed opioids.

CONCLUSION

These findings suggest that there are racial disparities in the use of opioids and physical therapy may reduce opioid prescription use to treat back pain. These disparities may be contributing to disparities in back pain recovery and long-term health disparities in general.

LEVEL OF EVIDENCE

2.

Placebo hypoalgesia: racial differences

No large-cohort studies that examine potential racial effects on placebo hypoalgesic effects exist. To fill this void, we studied placebo effects in healthy and chronic pain participants self-identified as either African American/black (AA/black) or white. We enrolled 372 study participants, 186 with a diagnosis of temporomandibular disorder (TMD) and 186 race-, sex-, and age-matched healthy participants to participate in a placebo experiment. Using a well-established paradigm of classical conditioning with verbal suggestions, each individual pain sensitivity was measured to calibrate the temperatures for high- and low-pain stimuli in the conditioning protocol. These 2 temperatures were then paired with a red and green screen, respectively, and participants were told that the analgesic intervention would activate during the green screens to reduce pain. Participants then rated the painfulness of each stimulus on a visual analog scale ranging from 0 to 100. Racial influences were tested on conditioning strength, reinforced expectations, and placebo hypoalgesia. We found that white participants reported greater conditioning effects, reinforced relief expectations, and placebo effects when compared with their AA/black counterparts. Racial effects on placebo were observed in TMD, although negligible, short-lasting, and mediated by conditioning strength. Secondary analyses on the effect of experimenter-participant race and sex concordance indicated that same experimenter-participant race induced greater placebo hypoalgesia in TMDs while different sex induced greater placebo hypoalgesia in healthy participants. This is the first and largest study to analyze racial effects on placebo hypoalgesia and has implications for both clinical research and treatment outcomes.

Prescribed Opioid Use in Wisconsin 2008-2016: Findings From the Survey of the Health of Wisconsin

BACKGROUND

The opioid epidemic is a national crisis. The objectives of this report were to describe prescription opioid use in Wisconsin from 2008 through 2016 using unique populationrepresentative data and to assess which demographic, health, and behavioral health characteristics were related to past 30-day prescribed opioid use.

METHODS

Data were obtained from the Survey of the Health of Wisconsin (SHOW), a statewide representative sample of 4,487 adults. Prescription medication use was ascertained via in-person interviews that included an inventory of all prescription medications used by the respondent in the past 30 days. The data were weighted to represent the adult population of Wisconsin, aged 21 to 74. Chi-square, logistic regression, and descriptive statistics were used to analyze data.

RESULTS

From 2008 to 2016, 6.4% (95% CI, 5.5-7.3) of adults age 21 years or older reported using a prescribed opioid in the past 30 days. Hydrocodone was the most prescribed opioid class followed by oxycodone. People 50 years of age and older, self-identified black or Hispanic, urban dwellers, those with a high school education or less, and those having incomes below 200% of the federal poverty level (FPL) reported significantly higher rates of prescribed opioid use relative to others. Participants reporting physician-diagnosed drug or alcohol abuse, current smokers, and those currently suffering from depression also reported significantly higher use.

CONCLUSION

These data from 2008-2016 demonstrate concerning levels of prescription opioid use and provide data on which population groups may be most vulnerable. While policies and clinical practice have changed since 2016, ongoing evaluation of prescribing practices, including consideration of behavioral health issues when prescribing opioids, is called for.

Racial Differences in Perioperative Opioid Utilization in Lumbar Decompression and Fusion Surgery for Symptomatic Lumbar Stenosis or Spondylolisthesis

STUDY DESIGN

Retrospective cohort study.

OBJECTIVES

To assess for racial differences in opioid utilization prior to and after lumbar fusion surgery for patients with lumbar stenosis or spondylolisthesis.

METHODS

Clinical records from patients with lumbar stenosis or spondylolisthesis undergoing primary <3-level lumbar fusion from 2007 to 2016 were gathered from a comprehensive insurance database. Records were queried by International Classification of Diseases diagnosis/procedure codes and insurance-specific generic drug codes. Opioid use 6 months prior, through 2 years after surgery was assessed. Multivariate regression analysis was employed to investigate independent predictors of opioid use following lumbar fusion.

RESULTS

A total of 13 257 patients underwent <3-level posterior lumbar fusion. The cohort racial distribution was as follows: 80.9% white, 7.0% black, 1.0% Hispanic, 0.2% Asian, 0.2% North American Native, 0.8% "Other," and 9.8% "Unknown." Overall, 57.8% patients utilized opioid medications prior to index surgery. When normalized by the number opiate users, all racial cohort saw a reduction in pills disbursed and dollars billed following surgery. Preoperatively, Hispanics had the largest average pills dispensed (222.8 pills/patient) and highest average amount billed ($74.67/patient) for opioid medications. The black cohort had the greatest proportion of patients utilizing preoperative opioids (61.8%), postoperative opioids (87.1%), and long-term opioid utilization (72.7%), defined as use >1 year after index operation. Multivariate logistic regression analysis indicated Asian patients (OR 0.422, 95% CI 0.191-0.991) were less likely to use opioids following lumbar fusion.

CONCLUSIONS

Racial differences exist in perioperative opioid utilization for patients undergoing lumbar fusion surgery for spinal stenosis or spondylolisthesis. Future studies are needed corroborate our findings.

The influence of undertreated chronic pain in a national survey: Prescription medication misuse among American indians, Asian Pacific Islanders, Blacks, Hispanics and whites

Objective

Disparities in the assessment and treatment of chronic pain among racial/ethnic may lead to self-treatment for undertreated pain. This study examines whether pain intensity among US racial/ethnic groups’ influences rates of psychotherapeutic prescription drug misuse.

Methods

Data included civilian, non-institutionalized adults (age 18–99 years) residing in the United States (n = 34,653) from Waves 1 and 2 of the National Epidemiological Survey on Alcoholism and Related Conditions (NESARC; 2004–2005). The primary outcome variable was prescription drug misuse/PDM (i.e., use without a prescription or other than as prescribed) including tranquilizers, sedatives, stimulants, or opioids. Predictor variables included self-reported race/ethnicity (American Indian, Black, Hispanic, or White) and pain intensity. Data were analyzed in 2019.

Results

Overall, White and Hispanic participants’ pain intensity had a significantly curvilinear relationship with frequency of prescription medication (p < 0.01). PDM rose with pain intensity until pain levels reached “severe,” then PDM rates fell, not significantly differing from the “no pain” levels (χ²(1) = 0.65, p = 0.42). PDM rates for Black participants remained lowest of all other racial/ethnic groups and plateaued with increasing pain intensity.

Conclusions

Our results indicate that undertreated chronic pain may drive rates of PDM among varying racial/ethnic groups. Providing equitable assessment and treatment of pain intensity remains critical. Additional research is needed to examine provider decision-making and unconscious bias, as well as patient health beliefs surrounding perceived need for prescription pain medications.

•

Prescription drug misuse (PDM) rates vary by racial/ethnic groups.

•

Pain intensity appears to affect PDM.

•

PDM is not more likely in Black patients than Whites.

•

PDM reduction in racial/ethnic populations must address provider implicit bias.

•

Provider education needs include differences in cultural pain expression.

Recommendations for the Study of Vulvar Pain in Women, Part 2: Methodological Challenges

INTRODUCTION

Chronic vulvar pain is a multidimensional condition with great variability in clinical presentation among affected women. In a companion article, part 1, we reviewed and recommended assessment and measurement tools for vulvar pain and related outcomes with a view toward improving consistency and comparison across studies. Yet methodological challenges to conducting research with this population remain and can further hinder conclusions regarding etiology and treatment.

AIM

To discuss methodological challenges to conducting vulvar pain research alongside recommended solutions.

METHODS

The expert authors reviewed the scientific evidence related to the study of vulvar pain and made decisions regarding methodological challenges and mitigation strategies via discussion and consensus.

MAIN OUTCOME MEASURE

We articulated key challenges to conducting research in this area and formulated recommendations for mitigating these challenges.

RESULTS

Challenges to the field include selection and sample biases, heterogeneity of the condition, inclusion of the partner, and neglect of the multidimensional aspects of vulvar pain. 2 key recommendations are more careful and detailed tracking and characterization of research samples and greater multidisciplinary collaboration to better capture the complexity of chronic vulvar pain.

CLINICAL IMPLICATIONS

This methodological critique points to several challenges to clinical research with populations struggling with chronic vulvar pain and makes suggestions for how to mitigate these issues.

STRENGTH & LIMITATIONS

Comments in this expert review raise awareness regarding core challenges to the study of vulvar pain and can inform study design of clinical research with this population. The content of this review is based on expert knowledge and opinion rather than a formal systematic review or extended consultation process.

CONCLUSION

A careful reflection upon methodological challenges facing clinical research of vulvar pain and ways to mitigate such challenges is crucial for improving the quality, generalizability, and uptake of research findings. Rosen NO, Bergeron S, Pukall CF. Recommendations for the Study of Vulvar Pain in Women, Part 2: Methodological Challenges. J Sex Med 2020; 17:595-602.

Racial disparities in analgesic use amongst patients presenting to the emergency department for kidney stones in the United States

INTRODUCTION

We sought quantify racial disparities in use of analgesia amongst patients seen in Emergency Departments for renal colic.

METHODS

We identified all individuals presenting to the Emergency Department with urolithiasis from 2003 to 2015 in the nationally representative Premier Hospital Database. We included patients discharged in ≤1 day and excluded those with chronic pain or renal insufficiency. We assessed the relationship between race/ethnicity and opioid dosage in morphine milligram equivalents (MME), and ketorolac, through multivariable regression models adjusting for patient and hospital characteristics.

RESULTS

The cohort was 266,210 patients, comprised of White (84%), Black (6%) and Hispanic (10%) individuals. Median opioid dosage was 20 MME and 55.5% received ketorolac. Our adjusted model showed Whites had highest median MME (20 mg) with Blacks (-3.3 mg [95% CI: -4.6 mg to -2.1 mg]) and Hispanics (-6.0 mg [95% CI: -6.9 mg to -5.1 mg]) receiving less. Blacks were less likely to receive ketorolac (OR: 0.72, 95% CI: 0.62-0.84) while there was no difference between Whites and Hispanics.

CONCLUSIONS

Black and Hispanic patients in American Emergency Departments with acute renal colic receive less opioid medication than White patients; Black patients are also less likely to receive ketorolac.

Racial differences in overdose events and polydrug detection in Indianapolis, Indiana

BACKGROUND

We examine racial disparities in drug overdose death rates by analyzing trends in fatal and nonfatal overdose outcomes in a large metropolitan area (Indianapolis, Indiana).

METHODS

Death certificate and toxicology records for accidental drug overdose deaths from 2011 to 2018 were linked with emergency medical services (EMS) data. Bivariate comparisons examined differences in toxicology findings at the time of death as well as prior EMS events both overall and by indicator of non-fatal overdose.

RESULTS

From 2011-2018, 2204 residents (29.4 per 100,000) died of drug overdose, 18.6% were Black (N = 410, 19.5 per 100,000) and 78.5% White (N = 1730, 35.2 per 100,000). In the year prior to death, 33.5% (N = 656) of decedents had an EMS event, 12.1% (N = 237) had an overdose event, and 9.4% (N = 185) had naloxone administered. Overdose complaint and naloxone administration were more likely to occur among White than Black patients. White decedents were more likely than Black decedents to have had naloxone administered in the year prior to death (10.1% vs. 6.8%, χ² = 4.0, p < .05, Cramer's V=.05). Toxicology data illustrate changing polydrug combinations, with Black decedents more likely to test positive for fentanyl-cocaine polydrug use in recent years.

CONCLUSIONS

Recent racial disparities in overdose deaths are driven by a combination of fentanyl and cocaine, which disproportionally impacts African American drug users, but may be addressed through expanded harm reduction and community outreach services. Additionally, there is a need to assess the role of differing practices in overdose emergency service provision as a contributing factor to disparities.

"We get double slammed!": Healthcare experiences of perceived discrimination among low-income African-American women

BACKGROUND

On account of their racial/ethnic minority status, class, and gender, African-American women of low socioeconomic status are among the least privileged, underserved, and most marginalized groups in the United States. Generally, African Americans continue to experience poorer health outcomes, in which disparities have been attributed to socioeconomic inequities and structural racism. This objective of this study was to explore the lived experiences of low-income African-American women in interacting with the healthcare system and healthcare providers.

METHODS

Twenty-two in-depth one-on-one interviews were conducted with low-income African-American women. The audio-recorded interviews were transcribed verbatim. An inductive content analysis was performed, using an analytical software, Dedoose® to enabled hierarchical coding. Codes were grouped into categories which were further analyzed for similarities that led to the emergence of themes.

RESULTS

A key finding was the experience of discriminatory treatment. The three themes that emerged relevant to this category were (1) perceived discrimination based on race/ethnicity, (2) perceived discrimination based on socioeconomic status, and (3) stereotypical assumptions such as drug-seeking and having sexually transmitted diseases.

CONCLUSION AND RECOMMENDATIONS

Low-income African-American women experience less than satisfactory patient care, where participants attribute to their experience of being stereotyped and their perception of discrimination in the healthcare system and from providers. Patients' experiences within the healthcare system have implications for their healthcare-seeking behaviors and treatment outcomes. Healthcare personnel and providers need to be more aware of the potential for implicit bias toward this population. Healthcare workforce training on culturally responsive patient care approaches and more community engagement will help providers better understand the context of patients from this population and more effectively meet their healthcare needs.

Opioid Deaths and Local Healthcare Intensity: A Longitudinal Analysis of the U.S. Population, 2003-2014

INTRODUCTION

This study examines the association between local healthcare intensity and drug death rates.

METHODS

County-level drug death rates were computed for 2003-2014 using vital statistics data adjusted for incomplete reporting of drug involvement. A county-level healthcare intensity index was constructed using Dartmouth Atlas of Health Care data. Linear regression and dose-response models were estimated for all residents and for population subgroups to analyze the relationship between healthcare intensity and drug death rates, as well as for 7 indicators of healthcare quality. Data collection and analysis were conducted in 2018 and 2019.

RESULTS

Linear estimates indicated a positive correlation between healthcare intensity and opioid-involved drug death rates. Dose-response models revealed that the association was especially pronounced for the 2 highest healthcare intensity quintiles. Moving from the lowest to the highest healthcare intensity quintile was associated with a 2.14 (95% CI=1.56, 2.72) per 100,000 rise in opioid-involved drug death rates and a 25.1% (95% CI=18.3%, 31.9%) increase from the base rate of 8.54 per 100,000. Corresponding associations were larger in absolute terms for individuals who were male, white, aged 20-44 years, and not college educated than for their counterparts, but similar in percentages, except for 2 minority racial groups and seniors. Non-opioid drug death rates were unrelated to healthcare intensity. High healthcare intensity was associated with worse healthcare quality for 6 of 7 indicators.

CONCLUSIONS

In the U.S., between 2003 and 2014, high medical care intensity was associated with elevated opioid death rates and lower healthcare quality.

Predictors of Overdose Death Among High-Risk Emergency Department Patients With Substance-Related Encounters: A Data Linkage Cohort Study

STUDY OBJECTIVE

Persons with substance use disorders frequently utilize emergency department (ED) services, creating an opportunity for intervention and referral to addiction treatment and harm-reduction services. However, EDs may not have the appropriate tools to distinguish which patients are at greatest risk for negative outcomes. We link hospital ED and medical examiner mortality databases in one state to identify individual-level risk factors associated with overdose death among ED patients with substance-related encounters.

METHODS

This retrospective cohort study linked Maryland statewide ED hospital claims records for adults with nonfatal overdose or substance use disorder encounters in 2014 to 2015 with medical examiner mortality records in 2015 to 2016. Logistic regression was used to identify factors in hospital records associated with risk of opioid overdose death. Predicted probabilities for overdose death were calculated for hypothetical patients with different combinations of overdose and substance use diagnostic histories.

RESULTS

A total of 139,252 patients had substance-related ED encounters in 2014 to 2015. Of these patients, 963 later experienced an opioid overdose death, indicating a case fatality rate of 69.2 per 10,000 patients, 6 times higher than that of patients who used the ED for any cause. Factors most strongly associated with death included having both an opioid and another substance use disorder (adjusted odds ratio 2.88; 95% confidence interval 2.04 to 4.07), having greater than or equal to 3 previous nonfatal overdoses (adjusted odds ratio 2.89; 95% confidence interval 1.54 to 5.43), and having a previous nonfatal overdose involving heroin (adjusted odds ratio 2.24; 95% confidence interval 1.64 to 3.05).

CONCLUSION

These results highlight important differences in overdose risk among patients receiving care in EDs for substance-related conditions. The findings demonstrate the potential utility of incorporating routine data from patient records to assess risk of future negative outcomes and identify primary targets for initiation and linkage to lifesaving care.

Opioid prescribing rates from the emergency department: Down but not out

INTRODUCTION

To examine opioid prescribing rates following emergency department (ED) discharge stratified by patient's clinical and demographic characteristics over an 11-year period.

MATERIAL AND METHODS

We used 3.9 million ED visits from commercially insured enrollees and 15.2 million ED visits from Medicaid enrollees aged 12 to 64 over 2005-2016 from the IBM® MarketScan® Research Databases. We calculated rates of opioid prescribing at discharge from the ED and the average number of pills per opioid prescription filled.

RESULTS

Approximately 15-20% of ED visits resulted in opioid prescriptions filled. Rates increased from 2005 into late 2009 and 2010 and then declined steadily through 2016. Prescribing rates were similar for commercially insured and Medicaid enrollees. Being aged 25-54 years was associated with the highest rates of opioid prescriptions being filled. Hydrocodone was the most commonly prescribed opioid, but rates for hydrocodone prescription filling also fell the most. Rates for oxycodone were stable, and rates for tramadol increased. The average number of pills dispensed from prescriptions filled remained steady over the study period at 18-20.

DISCUSSION

Opioid prescribing rates from the ED have declined steadily since 2010 in reversal of earlier trends; however, about 15% of ED patients still received opioid prescriptions in 2016 amidst a national opioid crisis.

CONCLUSIONS

Efforts to reduce opioid prescribing could consider focusing on the pain types, age groups, and regions with high prescription rates identified in this study.

Racial Disparities in Postpartum Pain Management

OBJECTIVE

To evaluate racial and ethnic differences in women's postpartum pain scores, inpatient opioid administration, and discharge opioid prescriptions.

METHODS

We conducted a retrospective cohort study of all deliveries at a single high-volume tertiary care center from December 1, 2015, through November 30, 2016. Women were included if they self-identified as non-Hispanic white, non-Hispanic black, or Hispanic; were at least 18 years of age; and did not have documented allergies to nonsteroidal antiinflammatory drugs or morphine. Medical records were queried for three outcomes: 1) patient-reported postpartum pain score (on a scale of 0-10) at discharge (dichotomized less than 5 or 5 or higher), 2) inpatient opioid dosing during postpartum hospitalization (reported as morphine milligram equivalents [MMEs] per postpartum day), and 3) receipt of an opioid prescription at discharge. The associations between each of these outcomes and maternal race-ethnicity were assessed using multivariable logistic regression models with random effects to account for clustering by discharge physician. A sensitivity analysis was conducted in which women of different race and ethnicity were matched using propensity scores.

RESULTS

A total of 9,900 postpartum women were eligible for analysis. Compared with non-Hispanic white women, Hispanic and non-Hispanic black women had significantly greater odds of reporting a pain score of 5 or higher (adjusted odds ratio [aOR] 1.61, 95% 1.26-2.06 and aOR 2.18, 95% 1.63-2.91, respectively) but received significantly fewer inpatient MMEs/d (adjusted β -5.03, 95% CI -6.91 to -3.15, and adjusted β -3.54, 95% CI -5.88 to -1.20, respectively). Additionally, Hispanic and non-Hispanic black women were significantly less likely to receive an opioid prescription at discharge (aOR 0.80, 95% CI 0.67 to -0.96 and aOR 0.78, 95% CI 0.62-0.98) compared with non-Hispanic white women. Results of the propensity score analysis largely corroborated those of the primary analysis, with the exception that the difference in inpatient MMEs/d between non-Hispanic white and non-Hispanic black women did not reach statistical significance.

CONCLUSION

Hispanic and non-Hispanic black women experience disparities in pain management in the postpartum setting that cannot be explained by less perceived pain.

Trends and Rapidity of Dose Tapering Among Patients Prescribed Long-term Opioid Therapy, 2008-2017

Importance

A 2016 Centers for Disease Control and Prevention prescribing guideline cautioned against higher-dose long-term opioid therapy and recommended tapering daily opioid doses by approximately 10% per week if the risks outweigh the benefits. Warnings have since appeared regarding potential hazards of rapid opioid tapering.

Objectives

To characterize US trends in opioid dose tapering among patients prescribed long-term opioids from 2008 to 2017 and identify patient-level variables associated with tapering and a more rapid rate of tapering.

Design, Setting, and Participants

This retrospective cohort study used deidentified medical and pharmacy claims and enrollment records for 100 031 commercial insurance and Medicare Advantage enrollees, representing a diverse mixture of ages, races/ethnicities, and geographical regions across the United States. Adults with stable, higher-dosage (mean, ≥50 morphine milligram equivalents [MMEs]/d) opioid prescriptions for a 12-month baseline period and 2 or more months of follow-up from January 1, 2008, to December 31, 2017, were included in the study.

Main Outcomes and Measures

Tapering was defined as 15% or more relative reduction in mean daily MME during any of 6 overlapping 60-day windows within a 7-month follow-up period. The rate of tapering was computed as the maximum monthly percentage dose reduction.

Results

Among the 100 031 participants (53 452 [53.4%] women; mean [SD] age, 57.6 [11.8] years), from 2008 to 2015, the age- and sex-standardized percentage of patients tapering daily opioid doses increased from 10.5% to 13.7% (adjusted incidence rate ratio [aIRR] per year, 1.05 [95% CI, 1.05-1.06]) before increasing to 16.2% in 2016 and 22.4% in 2017 (aIRR in 2016-2017 vs 2008-2015, 1.20 [95% CI, 1.16-1.25]). Patient-level covariates associated with tapering included female sex (aIRR, 1.13 [95% CI, 1.10-1.15]) and higher baseline dose (aIRR for ≥300 MMEs/d vs 50-89 MMEs/d, 2.57 [95% CI, 2.48-2.65]). Among patients tapering daily opioid doses, the mean (SD) maximum dose reduction was 27.6% (17.0%) per month, and 18.8% of patients had a maximum tapering rate exceeding 40% per month (ie, faster than 10% per week). More rapid dose reduction was associated with 2016-2017 vs 2008-2015 (adjusted difference, 1.4% [95% CI, 0.8%-2.1%]) and higher baseline dose (adjusted difference, 2.7% [95% CI, 2.2%-3.3%] for 90-149 vs 50-89 MMEs/d).

Conclusions and Relevance

Patients using long-term opioid therapy are increasingly undergoing dose tapering, particularly women and those prescribed higher doses; in addition, dose tapering has become more common since 2016. Many patients undergoing tapering reduce daily doses at a rapid maximum rate.

Opioid Misuse Among HIV-Positive Adults in Medical Care: Results From the Medical Monitoring Project, 2009-2014

BACKGROUND

People living with HIV are prescribed opioids more often and at higher doses than people who do not have HIV, and disproportionately experience risk factors for substance use disorder, which suggests they could be at increased risk of the misuse of opioids. Researchers also suggest that opioid misuse negatively affects various HIV clinical outcomes, increasing the risk of transmission to partners with an HIV-negative status.

METHODS

We calculated weighted percentages and 95% confidence intervals to estimate substance use characteristics among a probability sample of 28,162 HIV-positive adults receiving medical care in the United States who misused opioids (n = 975). Then, we used Rao-Scott χ tests to assess bivariate associations between opioid misuse and selected characteristics.

RESULTS

In all, 3.3% misused opioids. Misuse was more common among young adults, males, and non-Hispanic whites. Persons who misused opioids were less likely to: have been prescribed antiretroviral therapy (ART) (88.7%), report being adherent to ART medications in the past 3 days (78.1%), and have durable viral suppression (54.3%) than persons who did not misuse opioids (92.5%, 87.7%, and 64.7%, respectively). Persons who misused opioids were more likely to report condomless sex with partners of negative or unknown HIV status while not durably virally suppressed (11.7% vs 3.4%) than persons who did not misuse opioids.

CONCLUSIONS

Opioid misuse among adults receiving HIV medical care is associated with inadequate ART adherence, insufficient durable viral suppression, and higher risk of HIV transmission to sexual partners.

Opioid Prescribing After Opioid-related Inpatient Hospitalizations by Diagnosis: A Cohort Study

BACKGROUND

Any opioid-related hospitalization is an indicator of opioid-related harm and should ideally trigger carefully monitored decreases in opioid prescribing after inpatient stays in many, if not most, cases. However, past studies on opioid prescribing after hospitalizations have largely been limited to overdose related visits. It is unclear whether prescribing is different for other opioid-related indications such as opioid dependence and abuse and how that may compare with hospitalizations for overdose.

OBJECTIVE

To examine opioid-prescribing patterns before and after opioid-related hospitalizations for all opioid-related indications, not limited to overdose.

RESEARCH DESIGN

Retrospective cohort analysis of Veterans Health Administration (VHA) administrative claims from 2011 to 2014.

SUBJECTS

VHA patients who were hospitalized between fiscal years 2011 and 2014 and had at least 1 prescription opioid medication filled through the VHA pharmacy before their hospitalization.

MEASURES

Opioid dispensing trajectories after hospitalization by opioid-related indication (ie, opioid dependence and/or abuse vs. overdose) compared with prescribing patterns for non-opioid-related hospitalizations.

RESULTS

Overall, opioid dosage dropped significantly (66% for dependence/abuse, 42% for overdose, and 3% for nonopioid diagnoses; P<0.001) across all 3 categories when comparing dose 57-63 days after admission to 57-63 days before hospitalization. However, 47% of the patients remained on the same dose or increased their opioid dose at 60 days after an opioid-related hospitalization. After adjusting for covariates, patients with a primary diagnosis of dependence/abuse had higher odds of having their dose discontinued compared with those with overdose: odds ratio (OR) 2.17 (1.19-3.96). Patients with admissions for opioid dependence and/or abuse had a statistically significant higher prevalence of depression, posttraumatic stress disorder, anxiety, and substance use disorders compared with those with an opioid overdose hospitalization.

CONCLUSIONS

Opioid prescribing and patient risk factors before and after opioid-related hospitalizations vary by indication for hospitalization. To reduce costs and morbidity associated with opioid-related hospitalizations, opioid deintensification efforts need to be tailored to indication for hospitalization.

Opioid e-prescribing trends at discharge in a large pediatric health system

OBJECTIVE

Legitimate opioid prescriptions have been identified as a risk factor for opioid misuse in pediatric patients. In 2014, Pennsylvania legislation expanded a prescription drug monitoring program (PDMP) to curb inappropriate controlled substance prescriptions. The authors' objective was to describe recent opioid prescribing trends at a large, pediatric health system situated in a region with one of the highest opioid-related death rates in the United States and examine the impact of the PDMP on prescribing trends.

DESIGN

Quasi-experimental assessment of trends of opioid e-prescriptions, from 2012 to 2017. Multivariable Poisson segmented regression examined the effect of the PDMP. Period prevalence comparison of opioid e-prescriptions across the care continuum in 2016.

RESULTS

There were 62,661 opioid e-prescriptions identified during the study period. Combination opioid/non-opioid prescriptions decreased, while oxycodone prescriptions increased. Seasonal variation was evident. Of 110,884 inpatient encounters, multivariable regression demonstrated lower odds of an opioid being prescribed at discharge per month of the study period (p < 0.001) and a significant interaction between passage of the PDMP legislation and time (p = 0.03). Black patients had lower odds of receiving an opioid at discharge compared to white patients. Inpatients had significantly greater odds of receiving an opioid compared to emergency department (Prevalence Odds Ratio 7.1 [95% confidence interval: 6.9-7.3]; p < 0.001) and outpatient (398.9 [355.5-447.5]; p < 0.001) encounters.

CONCLUSION

In a large pediatric health system, oxycodone has emerged as the most commonly prescribed opioid in recent years. Early evidence indicates that a state-run drug monitoring program is associated with reduced opioid prescribing. Additional study is necessary to examine the relationship between opioid prescriptions and race.

Both Race and Insurance Type Independently Predict the Selection of Oral Opioids Prescribed to Cancer Outpatients

BACKGROUND

Previous research suggests that racial disparities in patients' reported analgesic adverse effects are partially mediated by the type of opioid prescribed to African Americans despite the presence of certain comorbidities, such as renal disease.

AIMS

We aimed to identify independent predictors of the type of opioid prescribed to cancer outpatients and determine if race and chronic kidney disease independently predict prescription type, adjusting for relevant sociodemographic and clinical confounders.

DESIGN

We conducted a secondary analysis of a 3-month observational study.

SETTING

Outpatient oncology clinics of an academic medical center.

PARTICIPANTS/SUBJECTS

Patients were older than 18 years of age, self-identified as African American or White, and had an analgesic prescription for cancer pain.

METHODS

Cancer patients (N = 241) were recruited from outpatient oncology clinics within a large mid-Atlantic healthcare system.

RESULTS

Consistent with published literature, most patients (75.5%) were prescribed either morphine or oxycodone preparations as oral opioid therapy for cancer pain. When compared with Whites, African Americans were significantly more likely to be prescribed morphine (33% vs 14%) and less likely to be prescribed oxycodone (38% vs 64%) (p < .001). The estimated odds for African Americans to receive morphine were 2.573 times that for Whites (95% confidence interval 1.077-6.134) after controlling for insurance type, income, and pain levels. In addition, the presence of private health insurance was negatively associated with the prescription of morphine and positively associated with prescription of oxycodone in separate multivariable models. The presence of chronic kidney disease did not predict type of analgesic prescribed.

CONCLUSIONS

Both race and insurance type independently predict type of opioid selection for cancer outpatients. Larger clinical studies are needed to fully understand the sources and clinical consequences of racial differences in opioid selection for cancer pain.