| Literature DB >> 34909526 |
Randall W Knoebel1, Janet V Starck2, Pringl Miller3.
Abstract
Introduction: Growing evidence suggests disparities in the prevalence, management, progression, and outcomes of chronic, nonmalignant pain-related conditions, especially for African American patients. Objective: The purpose of this review is to explore studied causative factors that influence the management of chronic pain among African Americans, including factors that result in disparate care that may contribute to unfavorable outcomes.Entities:
Keywords: chronic pain; health disparities; pain management; racial minority
Year: 2021 PMID: 34909526 PMCID: PMC8665804 DOI: 10.1089/heq.2020.0062
Source DB: PubMed Journal: Health Equity ISSN: 2473-1242
Summary of key articles
| Citation | Topic addressed | Key findings | No. of subjects | Demographics | Site/context |
|---|---|---|---|---|---|
| Campbell et al.[ | Influence of race and ethnicity on pain physiology | Lower levels of pain tolerance among AA subjects resulting in more intense pain and unpleasantness compared with NHW subjects | Healthy young adults | Study examined ethnic differences in responses to multiple experimental pain stimuli | |
| Hoffman et al.[ | Impact of implicit/explicit bias on pain assessment | Laypeople who strongly endorsed false beliefs reported lower pain ratings for black subjects versus white subjects. | White, born in the United States, native English speaker | Surveyed white laypeople and medical students posing various false stereotypes to determine their baseline levels of bias and impact on pain assessment | |
| Mathur et al.[ | Impact of implicit/explicit bias on treatment | The study found that implicitly primed participants tended to perceive and respond more to European American patients than to AA patients | 120 AA | Medical students | Study participants were read 10 case reports describing pain severity and symptoms. Racial priming was then used to identify the ways in which automatic (implicit) and deliberate (explicit) racial biases might influence their treatment |
| Hirsh et al.[ | Impact of implicit/explicit bias and contextual ambiguity on pain management | The findings suggest that clinical ambiguity—that is, discordance between patient complaints and physical exams—influenced providers' decisions to treat pain for NHW patients but not for black patients | Medical residents and fellows | Subjects were asked to make clinical decisions on 12 unique patient-simulated cases, evaluating each patient's pain level and the likelihood of using different analgesics | |
| Beach et al.[ | Patient–provider communication | Providers were more dominant in conversations with black patients compared with white patients. Black patients were significantly less talkative than white patients during their examinations and provided less information in both the psychosocial and biomedical domains | Black and white HIV-infected patients | Patient–provider encounters coded with the Roter Interaction Analysis System across four HIV care sites in the United States | |
| Anderson et al.[ | Patient–provider communication | Thirty-one percent of the AA patients received analgesics of insufficient strength to manage their pain. | AA and Hispanic cancer patients | Completed a survey about their pain intensity, pain interference, and attitudes toward analgesic medications. | |
| Hsieh et al.[ | Impact of race concordance on pain assessment | When patient–provider race were concordant patients were more likely to exhibit more distressing pain behaviors | Race concordant ( | Participants were exposed to a cold pressor task under 1 of 2 conditions: Race-concordant OR non-race concordant | |
| Bach et al.[ | Structural barriers to effective pain care | Twenty-two percent of physicians provide care for 80% of AA in the United States and these physicians report limited access to health care resources, such as specialists and diagnostic imaging | Medicare beneficiaries for medical “evaluation and management” | Cross-sectional analysis evaluating patients' visits who were seen by primary care physicians who participated in a biannual telephone survey | |
| Varkey[ | Structural barriers to effective pain care | Clinics serving at least 30% minority patients have less access to medical supplies, fewer examination rooms per physician, fewer referrals to specialists. more likely to be covered by Medicaid, and more medically and psychologically complex. Physicians at these clinics report less control over their work environments, lower job satisfaction levels, and higher rates of burnout | Ninety-six clinic managers, 388 primary care physicians, and 1701 of their adult patients | Hypertension, diabetes mellitus, or congestive heart failure | Cross-sectional study comparing clinics with >30% underrepresented racial minority versus those with <30% |
| Gebauer et al.[ | Structural barriers to effective pain care | Sixty-three percent of residents in low-nSES areas were more likely to receive opioid-only therapy and not receive referrals for physical therapy. In contrast, patients in high-nSES areas tend to receive both opioid and physical therapy | 54.7% white; 67.9% female Average age 55.7 years | Influence of n-SES on management of low-back pain evaluating NSAIDS, opioids, physical therapy referral/initiation | |
| Joynt et al.[ | Structural barriers to effective pain care | Opioids were prescribed more frequently at visits from patients of the highest SES quartile compared with patients in the lowest quartile. | 12%> 65 years of age; 24% Black race; 22% from neighborhood with >20% poverty | Data from the National Hospital Ambulatory Medical Care Survey evaluating the prescribing of opioids to patients presenting with moderate-to-severe pain | |
| Scholl et al.[ | Opioid overdose deaths and race | Opioid-related mortality is affecting whites and blacks equally. Blacks experiencing the largest relative increase (25.2%) in opioid-involved deaths from heroin and synthetic opioids (often laced with heroin) | In 2017, among 70,237 drug overdose deaths, 47,600 (67.8%) involved opioids | Increases across age groups, racial/ethnic groups, county urbanization levels, and in multiple states | Data from United States National Vital Statistics System, Mortality file |
AA, African American(s); NHW, non-Hispanic white(s); NSAIDS, non-steroidal anti-inflammatory drugs; nSES, neighborhood socioeconomic status.