Pain assessment and treatment disparities: a virtual human technology investigation

Sex bias in pain management decisions

In the pursuit of mental and physical health, effective pain management stands as a cornerstone. Here, we examine a potential sex bias in pain management. Leveraging insights from psychological research showing that females' pain is stereotypically judged as less intense than males' pain, we hypothesize that there may be tangible differences in pain management decisions based on patients' sex. Our investigation spans emergency department (ED) datasets from two countries, including discharge notes of patients arriving with pain complaints (N = 21,851). Across these datasets, a consistent sex disparity emerges. Female patients are less likely to be prescribed pain-relief medications compared to males, and this disparity persists even after adjusting for patients' reported pain scores and numerous patient, physician, and ED variables. This disparity extends across medical practitioners, with both male and female physicians prescribing less pain-relief medications to females than to males. Additional analyses reveal that female patients' pain scores are 10% less likely to be recorded by nurses, and female patients spend an additional 30 min in the ED compared to male patients. A controlled experiment employing clinical vignettes reinforces our hypothesis, showing that nurses (N = 109) judge pain of female patients to be less intense than that of males. We argue that the findings reflect an undertreatment of female patients' pain. We discuss the troubling societal and medical implications of females' pain being overlooked and call for policy interventions to ensure equal pain treatment.

Provider Implicit Racial Bias in Pediatric Sickle Cell Disease

BACKGROUND/OBJECTIVES

This study is to (1) assess implicit racial bias among pediatric providers and (2) use virtual patient (VP) vignettes to determine the impact of implicit racial bias on clinical decision-making in pediatric sickle cell disease (SCD) pain care.

DESIGN/METHODS

This cross-sectional study was conducted at a mid-sized, freestanding children's hospital in the northeast. Participants (N = 52) were pediatric SCD providers (87% cisgender female, 90% White, M age = 38.78). Providers completed a demographic questionnaire, the race Implicit Association Test (IAT) with adult and child faces, and a measure of SCD explicit bias (5-point Likert scale). Providers also made clinical decisions for four VP vignettes depicting Black and White youth in the emergency department (ED) with either SCD or cancer pain. Frequency tables were calculated.

RESULTS

On the race IAT, providers demonstrated a pro-White implicit bias for both adult (81%) and child (89%) faces. Responses to the explicit bias measure reflected low levels of agreement with negative stereotypes about SCD patients. No significant differences emerged in providers' pain treatment decisions for Black vs. White, or SCD vs. cancer VPs.

CONCLUSIONS

Findings indicate pediatric providers harbor implicit racial bias similar to the general population. Findings from VP vignettes did not demonstrate that pain treatment decision-making differed based on race or diagnosis. This may be due to standardized protocols and procedures in the pediatric emergency setting. Future research is needed to clarify the role of implicit bias in clinical decision-making and the potential efficacy of treatment protocols in preventing biases from interfering with pediatric SCD pain care.

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.

Racial Differences in Movement-Related Appraisals and Pain Behaviors Among Adults With Chronic Low Back Pain

Research documents racial disparities in chronic low back pain (CLBP). Few studies have examined racial disparities in movement-related appraisals and no studies have examined anticipatory appraisals prior to or pain behaviors during functional activities among individuals with CLBP. This cross-sectional study examined racial differences in anticipatory appraisals of pain, concerns about harm, and anxiety, appraisals of pain and anxiety during movement, and observed pain behaviors during 3 activities of daily living (supine-to-standing bed task, sitting-to-standing chair task, floor-to-waist lifting task) in a sample (N = 126) of non-Hispanic Black (31.0%), Hispanic (30.2%), and non-Hispanic White (38.9%) individuals with CLBP. Hispanic participants reported more expected pain, concerns about harm, and pre-movement anxiety prior to the bed and chair tasks compared to non-Hispanic White participants. Hispanic participants reported more pain during the bed task and more anxiety during the bed and chair tasks compared to non-Hispanic White participants. Non-Hispanic Black participants reported more expected pain, concerns about harm, and pre-movement anxiety prior to the bed task and more pre-movement anxiety prior to the chair task compared to non-Hispanic White participants. Non-Hispanic Black participants reported more anxiety during the bed and chair tasks compared to non-Hispanic White participants. Non-Hispanic Black participants were observed to have significantly more verbalizations of pain during the bed task compared to non-Hispanic White participants. Current findings identify racial disparities in important cognitive-behavioral and fear-avoidance mechanisms of pain. Results indicate a need to revisit traditional theoretical and treatment models in CLBP, ensuring racial disparities in pain cognitions are considered. PERSPECTIVE: This study examined racial disparities in anticipatory and movement-related appraisals, and pain behaviors during activities of daily living among Non-Hispanic Black, Non-Hispanic White, and Hispanic individuals with CLBP. Racial disparities identified in the current study have potentially important theoretical implications surrounding cognitive-behavioral and fear-avoidance mechanisms of pain.

Virtual Human-Delivered Interviews for Patients With Chronic Pain: Feasibility, Acceptability, and a Pilot Randomized Trial of Standard Medical, Psychosocial, and Educational Interviews

OBJECTIVE

Seminal advances in virtual human (VH) technology have introduced highly interactive, computer-animated VH interviewers. Their utility for aiding in chronic pain care is unknown. We developed three interactive telehealth VH interviews-a standard pain-focused, a psychosocial risk factor, and a pain psychology and neuroscience educational interview. We then conducted a preliminary investigation of their feasibility, acceptability, and efficacy. We also experimentally compared a human and a computer-generated VH voice.

METHODS

Patients ( N = 94, age = 22-78 years) with chronic musculoskeletal pain were randomly assigned to the standard ( n = 31), psychosocial ( n = 34), or educational ( n = 29) VH interview and one of the two VH voices. Acceptability ratings included patient satisfaction and expectations/evaluations of the VH interview. Outcomes assessed at baseline and about 1-month postinterview were pain intensity, interference, emotional distress, pain catastrophizing, and readiness for pain self-management. Linear mixed-effects models were used to test between- and within-condition effects.

RESULTS

Acceptability ratings showed that satisfaction with the VH and telehealth format was generally high, with no condition differences. Study attrition was low ( n = 5). Intent-to-treat-analyses showed that, compared with the standard interview, the psychosocial interview yielded a significantly greater reduction in pain interference ( p = .049, d = 0.43) and a marginally greater reduction in pain intensity ( p = .054, d = 0.36), whereas the educational interview led to a marginally greater yet nonsignificant increase in readiness for change ( p = .095, d = 0.24), as well as several significant improvements within-condition. Results did not differ by VH voice.

CONCLUSIONS

Interactive VH interviewers hold promise for improving chronic pain care, including probing for psychosocial risk factors and providing pain-related education.

How Pain-Related Facial Expressions Are Evaluated in Relation to Gender, Race, and Emotion

Inequities in pain assessment are well-documented; however, the psychological mechanisms underlying such biases are poorly understood. We investigated potential perceptual biases in the judgments of faces displaying pain-related movements. Across five online studies, 956 adult participants viewed images of computer-generated faces ("targets") that varied in features related to race (Black and White) and gender (women and men). Target identity was manipulated across participants, and each target had equivalent facial movements that displayed varying intensities of movement in facial action-units related to pain (Studies 1-4) or pain and emotion (Study 5). On each trial, participants provided categorical judgments as to whether a target was in pain (Studies 1-4) or which expression the target displayed (Study 5) and then rated the perceived intensity of the expression. Meta-analyses of Studies 1-4 revealed that movement intensity was positively associated with both categorizing a trial as painful and perceived pain intensity. Target race and gender did not consistently affect pain-related judgments, contrary to well-documented clinical inequities. In Study 5, in which pain was equally likely relative to other emotions, pain was the least frequently selected emotion (5%). Our results suggest that perceivers can utilize facial movements to evaluate pain in other individuals, but perceiving pain may depend on contextual factors. Furthermore, assessments of computer-generated, pain-related facial movements online do not replicate sociocultural biases observed in the clinic. These findings provide a foundation for future studies comparing CGI and real images of pain and emphasize the need for further work on the relationship between pain and emotion.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42761-023-00181-6.

Rigorous theory-based intervention research is the bold action needed to address oral health disparities and inequities

The Consensus Statement about behavioral and social sciences in oral health encourages future research to draw on testable theories that specify causal pathways that reflect the complex nature of oral health. In this commentary, we amplify the importance of explicit and well-specified theory in oral health intervention research, acknowledging that problematic use of theory has limited its utility in developing effective public health interventions. Also, we affirm the need to focus on determinants of oral health-and health inequities-most likely to drive meaningful change, and to understand the causal pathways that connect drivers of change from the individual to the global level. We view theory-based, causal mechanisms research as a powerful approach to building successful public health interventions, and suggest resources to inspire such research, including exemplary studies, methodologies, and collaborative initiatives that facilitate strong theory-based public health research.

Patient Race, Ethnicity, Language, and Pain Severity in Primary Care: A Retrospective Electronic Health Record Study

BACKGROUND

Patient race, ethnicity, and culture including language are intertwined and may influence patient reporting of pain severity.

PURPOSE

To describe documentation of patient's self-reported pain presence and severity by race, ethnicity, and language, specifically, Spanish, Hmong, Lao, or Khmer requiring an interpreter or English.

DESIGN AND SAMPLE

Retrospective, electronic health record clinical data mining study of 79,195 patient visits with documented pain scores from one primary care clinic.

METHODS

Hurdle regression was used to explore the effect of race, ethnicity, and language on the chances of having any pain (vs. no pain) and pain severity for visits with pain scores ≥1, controlling for age, sex, and documentation of a pain diagnosis. Mann-Whitney tests were used to explore the influence of English vs. non-English language on pain severity within a race or ethnicity category.

RESULTS

Pain scores were higher for limited English proficiency, compared with English-speaking, patients within the Asian race or Hispanic/Latino ethnicity category. Older age, female sex, pain diagnosis, Black or African American race, and Spanish or Lao language increased the chance of having any pain. These same factors, plus American Indian or Alaska Native race, contributed to higher pain severity. Asian race, in contrast, decreased the chance of reporting any pain and contributed to lesser pain severity.

CONCLUSIONS

Race, in addition to a new area of focus, language, impacted both the chances of reporting any pain and pain severity. Additional research is needed on the impact of language barriers on pain severity reporting, documentation, and differences in pain outcomes and disparities.

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.

Gender Biases in Estimation of Others' Pain

Caregiving and other interpersonal interactions often require accurate perception of others' pain from nonverbal cues, but perceivers may be subject to systematic biases based on gender, race, and other contextual factors. Such biases could contribute to systematic under-recognition and undertreatment of pain. In 2 experiments, we studied the impact of perceived patient sex on lay perceivers' pain estimates and treatment recommendations. In Experiment 1 (N = 50), perceivers viewed facial video clips of female and male patients in chronic shoulder pain and estimated patients' pain intensity. Multi-level linear modeling revealed that perceivers under-estimated female patients' pain compared with male patients, after controlling for patients' self-reported pain and pain facial expressiveness. Experiment 2 (N = 200) replicated these findings, and additionally found that 1) perceivers' pain-related gender stereotypes, specifically beliefs about typical women's vs. men's willingness to express pain, predicted pain estimation biases; and 2) perceivers judged female patients as relatively more likely to benefit from psychotherapy, whereas male patients were judged to benefit more from pain medicine. In both experiments, the gender bias effect size was on average 2.45 points on a 0-100 pain scale. Gender biases in pain estimation may be an obstacle to effective pain care, and experimental approaches to characterizing biases, such as the one we tested here, could inform the development of interventions to reduce such biases. Perspective: This study identifies a bias towards underestimation of pain in female patients, which is related to gender stereotypes. The findings suggest caregivers' or even clinicians' pain stereotypes are a potential target for intervention.

Pediatric weight bias in prehealth profession undergraduates: an idiographic approach

Bias toward individuals with overweight/obesity (OV/OB) exists among health professionals and trainees with the potential to affect the quality of healthcare interactions. Given most research is adult-focused, this study aimed to examine the influence of weight status on clinical judgments in a pediatric context. Sixteen virtual human scenes representing hypothetical medical encounters of pediatric patients and their mothers were presented to prehealth profession undergraduates (n = 92). Characteristics, or cues, of patient and mother weight status (healthy weight vs. obese) and dyad race (Caucasian vs. African American) were manipulated across scenes. Participants provided ratings for assessment questions, including perceived treatment adherence and responsibility for health, for each scene. Data were examined via idiographic (i.e., individual-level) analysis, which involved generation of separate multiple regressions per participant per assessment question to capture the influence of the cues on participants' ratings. Results represent secondary outcomes from another study published elsewhere. Current analyses revealed that 12%-22% of participants relied on cues of weight status when making assessments about patient and mother adherence and responsibility for health. The majority of these participants equated higher weight status with poorer anticipated treatment adherence and greater health responsibility. Results suggest that the weight status of pediatric patients and their mothers' plays a considerable role in prehealth profession undergraduates' clinical judgments, with the future potential to affect disparities in pediatric care. This study highlights the importance of considering child and maternal factors and utilizing a novel approach that may serve as a model for further investigation of this issue.

Men and Women Respond Equally Well to Spinal Cord and Dorsal Root Ganglion Stimulation

OBJECTIVES

The influence of gender on outcomes in individuals undergoing treatment for chronic pain is unclear. This retrospective, single-site study explored the impact of gender on pain, quality of life (QoL), revisions, and explants in patients with failed back surgery syndrome or visceral pain, who received a fully implanted 10 kHz spinal cord stimulation (SCS), burst SCS, or dorsal root ganglion (DRG) stimulation system.

MATERIALS AND METHODS

The following data were collected from paper and electronic records: gender, age, chronic pain diagnosis, system, baseline and follow-up scores (average pain [visual analog scale, VAS], worst pain [VAS], QoL [EQ-5D-3L]), revisions, and explants. Data were statistically analyzed by one-way ANCOVAs controlling for age, chi-square tests of independence and logistic regression.

RESULTS

The final sample comprised 387 patients (176 males and 211 females). Males were significantly older compared to females (mean difference: 2.33 years, p = 0.044). Controlling for age, baseline average pain was significantly lower in males than females (mean difference: -0.32, p = 0.049). Males and females responded equally well to 10 kHz SCS and burst SCS as well as DRG stimulation. A greater percentage of males (5%) than females (1%) had revisions due to lead fractures. Additionally, more females (13%) than males (6%) had an explant due to insufficient pain relief. Female gender and older age were associated with greater likelihood of having an explant compared to male gender and younger age.

CONCLUSION

Gender may play an influential role in pain severity at baseline but have little effect at follow-up. To help identify which patients may undergo a revision or explant, gender and age could be important factors and should be further scrutinized. Even though men and women responded equally well to SCS and DRG stimulation, more men had a revision due to lead fractures, and more women were explanted due to insufficient pain relief.

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.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-021-01247-4.

Influence of patient immigrant status on physician trainee diabetes treatment decisions: a virtual patient experimental study

To determine the effect of patient immigrant status on physician trainees' diabetes treatment decisions. Participants were 140 physician trainees ('providers'). Providers viewed videos and vignettes of virtual patients differing in immigrant status (born in Mexico or U.S.; other characteristics held constant). Analyses were completed at the group and individual levels. Providers were less likely to refer foreign-born (vs. U.S.-born) patients to endocrinology. Individual-level results showed an almost even split between treatment ratings for foreign-born vs. U.S.-born patients for three decisions (take no action, add oral hypoglycemic agent, add/switch to insulin), explaining why group-level differences for these ratings did not emerge (i.e., they were cancelled out). Physician trainees are less likely to refer foreign-born patients to endocrinology. Half of individual-level decisions were influenced by patient immigrant status, but group-level analyses mask these differences. Systematic treatment differences based on non-relevant factors could lead to adverse outcomes for immigrants.

A randomized controlled trial testing a virtual perspective-taking intervention to reduce race and socioeconomic status disparities in pain care

We conducted a randomized controlled trial of an individually tailored, virtual perspective-taking intervention to reduce race and socioeconomic status (SES) disparities in providers' pain treatment decisions. Physician residents and fellows (n = 436) were recruited from across the United States for this two-part online study. Providers first completed a bias assessment task in which they made treatment decisions for virtual patients with chronic pain who varied by race (black/white) and SES (low/high). Providers who demonstrated a treatment bias were randomized to the intervention or control group. The intervention consisted of personalized feedback about their bias, real-time dynamic interactions with virtual patients, and videos depicting how pain impacts the patients' lives. Treatment bias was re-assessed 1 week later. Compared with the control group, providers who received the tailored intervention had 85% lower odds of demonstrating a treatment bias against black patients and 76% lower odds of demonstrating a treatment bias against low SES patients at follow-up. Providers who received the intervention for racial bias also showed increased compassion for patients compared with providers in the control condition. Group differences did not emerge for provider comfort in treating patients. Results suggest an online intervention that is tailored to providers according to their individual treatment biases, delivers feedback about these biases, and provides opportunities for increased contact with black and low SES patients, can produce substantial changes in providers' treatment decisions, resulting in more equitable pain care. Future studies should examine how these effects translate to real-world patient care and the optimal timing/dose of the intervention.

Geospatial Analyses of Pain Intensity and Opioid Unit Doses Prescribed on the Day of Discharge Following Orthopedic Surgery

OBJECTIVE

Inappropriate opioid prescribing after surgery contributes to opioid use disorder and risk of opioid overdose. In this cross-sectional analysis of orthopedic surgical patients, we examined the role of patient location on postoperative pain intensity and opioids prescribed on hospital discharge.

METHODS

We used geospatial analyses to characterize spatial patterns of mean pain intensity on the day of discharge (PiDoD) and opioid units prescribed on the day of discharge (OuPoD), as well as the effect of regional social deprivation on these outcomes.

RESULTS

At a 500-km radius from the surgery site, the Global Moran's I for PiDoD (2.71 × 10-3, variance = 1.67 × 10-6, P = 0.012) and OuPoD (2.19 × 10-3, SD = 1.87, variance = 1.66 × 10-6, P = 0.03) suggested significant spatial autocorrelation within each outcome. Local indicators of spatial autocorrelation, including local Moran's I, Local Indicator of Spatial Autocorrelation cluster maps, and Getis-Ord Gi* statistics, further demonstrated significant, specific regions of clustering both OuPoD and PiDoD. These spatial patterns were associated with spatial regions of area deprivation.

CONCLUSIONS

Our results suggest that the outcomes of pain intensity and opioid doses prescribed exhibit varying degrees of clustering of patient locations of residence, at both global and local levels. This indicates that a given patient's pain intensity on discharge is related to the pain intensity of nearby individuals. Similar interpretations exist for OuPoD, although the relative locations of hot spots of opioids dispensed in a geographic area appear to differ from those of hot spots of pain intensity on discharge.

The influence of Latinx American identity on pain perception and treatment seeking

Introduction

Latinx-Americans are underserved across healthcare contexts, and racial disparities in pain management are pervasive. One potential contributor is racial bias in pain perception - including low-level implicit biases and explicitly held lay-beliefs. Delays in seeking pain treatment may compound these disparities. However, experiments testing these factors in the context of Latinx-American pain are limited, and mechanisms by which Latinx-American group-membership influences pain perception and treatment are not understood.

Methods

Here, Latinx-American and White-American participants read vignettes including a Latinx or White patient's pain description and numerical pain rating. Participants then rated how much pain they thought each patient was in using the same numerical scale. Participants also reported how much pain they themselves would need to experience to prompt treatment-seeking.

Results

In contrast to prior work identifying lay beliefs that Latinx-Americans feel less pain than White-Americans, participants in the current study revealed a bias in the opposite direction. This was largely driven, however, by Latinx-American participants, who have been under-represented in previous studies of empathy and pain perception. Latinx-Americans ascribed more pain to patients overall - irrespective of patient race - relative to White-Americans. Latinx-American participants also reported that their own pain would need to be significantly more intense before seeing a doctor.

Conclusion

These results suggest that, relative to White-Americans, Latinx-Americans may be more likely to believe people are in more pain than they report - or may be more perceptive of others' pain - and that they may be in more pain upon presenting to medical settings.

The influence of patient race, sex, pain-related body postures, and anxiety status on pain management: a virtual human technology investigation

Purpose

The purpose of this study was to examine mechanisms underlying disparities in pain management among patients with psychological comorbidities. Studies have consistently shown that health care providers, health care trainees, and laypeople are susceptible to biased assessment and treatment decisions for patients presenting with pain. Further, psychological factors may influence the use of demographic and behavioral cues in pain assessment and treatment decisions. The present study employed innovative virtual human technology to capture decision-making approaches at both the group- and individual-level to better elucidate the influence of psychological factors, demographic cues, and pain-related body postures on pain assessment and treatment decisions.

Patients and methods

One hundred and thirty-two providers and trainees in the areas of nursing, physical therapy, and medicine viewed separate, empirically validated virtual human profiles that systematically varied across pain behaviors, anxiety status, race, and sex. Participants provided pain assessment and treatment ratings using a visual analog scale for each virtual human profile.

Results

Idiographic analyses revealed that participants used patient pain-related body postures most consistently and reliably across ratings. Nomothetic analyses showed anxious virtual humans were identified as having more anxiety and more likely to be recommended anti-anxiety medications, especially by female participants.

Conclusion

This innovative study successfully explored the influence of patient pain-related body postures, anxiety status, and demographic characteristics on pain management decisions with virtual human technology and a Lens model design. Results of this study can be used to better inform clinical practice, research, and education regarding the influence of patient variables on pain assessment and treatment decisions.

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.

Exploring the role of gender and gendered pain expectation in physiotherapy students

Introduction: Gender and gender role pain expectations may influence how health care providers interact with and manage their patients' symptoms. Purpose: The purpose of this study was to describe gendered traits and gender role pain expectations among physical therapy students. Method: A survey assessing gendered traits and gender role expectations in relation to pain was completed by a sample of 171 physical therapy students (120 women, 51 men). Data were analyzed using descriptive statistics and differences between men and women were tested with chi-square or Kruskal-Wallis. Results: Men and women in physical therapy training were not different on 13 out of 16 of the gendered traits. The exceptions were that men rated themselves as more "decisive" compared to women (mean rank = 103.8 vs. mean rank = 78.4, P = 0.001) and women rated themselves as more "emotional" (mean rank = 91.95 vs. mean rank = 72.01, P = 0.009) and more "nurturing" (mean rank = 90.89 vs. mean rank = 72.91, P = 0.020). No significant differences were found in terms of gendered expectations of pain sensitivity, endurance, or in terms of personal experience of pain between the men and women in the sample. However, the majority (75%) of participants reported that women were more willing to report pain compared to men. Finally, both groups rated themselves as no different in handling pain compared to a typical man or woman. Conclusion: In conclusion, men and women in training to be physical therapists demonstrate similar gendered trait profiles and little gender bias in relation to pain expectations.

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.

Gender aspects of the pain syndrome

In recent years, the subject of sex differences in the pain experience attracts a growing interest. The epidemiological and clinical data indicate that women have increased risk of chronic pain, and according to some sources, even experience more intense pain. The hypothetical biological mechanisms underlying sex differences in pain perception consist in the modulating effects produced by sex hormones in relation to the neural substrate. This is confirmed by data on the distribution of gonadal hormones and their receptors in the areas of the peripheral and central nervous system that provide nociceptive transmission. The complexity of the estradiol and progesterone effects on pain sensitivity lies in the fact that, according to various data, both have pre-nociceptive and antinociceptive effects, and testosterone appears to be more characterized by antinociceptive properties. The lion’s share of researches demonstrates the effect of a clinical pain exacerbation during the menstrual cycle. There is irrefutable information about gender differences in responses to drug and non-drug pain treatment, although the results vary depending on a specific therapy and may depend on pain characteristics. Since the recommended dosage of a medication is often based on an “average” male weigh 70 kg, female patients may be facing the risk of increased therapeutic or adverse effects of a drug. The cause is in a higher average percentage of body fat, a lower mean body weight, which contributes to higher median drug concentrations compared with male patients. At present, the available evidence does not allow adapting the methods of pain syndrome treatment to a gender. However, such innovations are quite possible and desirable in the foreseeable future. Additional studies will be required to clarify the mechanisms that determine sex differences in pain responses in order to provide adequate pain relief, according to the patient’s needs.

Assessment of Racial/Ethnic and Income Disparities in the Prescription of Opioids and Other Controlled Medications in California

Importance

Most drug epidemics in the United States have disproportionately affected nonwhite communities. Notably, the current opioid epidemic is heavily concentrated among low-income white communities, and the roots of this racial/ethnic phenomenon have not been adequately explained.

Objective

To examine the degree to which differential exposure to opioids via the health care system by race/ethnicity and income could be driving the observed social gradient of the current opioid epidemic, as well as to compare the trends in the prevalence of prescription opioids with those observed for stimulants and benzodiazepines.

Design, Setting, and Participants

This population-based study used 2011 through 2015 records from California's prescription drug monitoring program (Controlled Substance Utilization Review and Evaluation System), which longitudinally tracks all patients receiving controlled substance prescriptions in the state and contained unique records for 29.7 million individuals who received such a prescription from 2011 to 2015. Data were analyzed between January and May 2018.

Exposures

A total of 1760 zip code tabulation areas (ZCTAs) in California, with associated racial/ethnic composition and per capita income.

Main Outcomes and Measures

The percentage of individuals receiving at least 1 prescription each year was calculated for opioids, benzodiazepines, and stimulants.

Results

A nearly 300% difference in opioid prescription prevalence across the race/ethnicity-income gradient was observed in California, with 44.2% of adults in the quintile of ZCTAs with the lowest-income/highest proportion-white population receiving at least 1 opioid prescription each year compared with 16.1% in the quintile with the highest-income/lowest proportion-white population and 23.6% of all individuals 15 years or older. Stimulant prescriptions were highly concentrated in mostly white high-income areas, with a prevalence of 3.8% among individuals in the quintile with the highest-income/highest proportion-white population and a prevalence of 0.6% in the quintile with the lowest-income/lowest proportion-white population. Benzodiazepine prescriptions did not have an income gradient but were concentrated in mostly white areas, with 15.7% of adults in the quintile of ZCTAs with the highest proportion-white population receiving at least 1 prescription each year compared with 7.0% among the quintile with the lowest proportion-white population.

Conclusions and Relevance

The race/ethnicity and income pattern of opioid overdoses mirrored prescription rates, suggesting that differential exposure to opioids via the health care system may have induced the large, observed racial/ethnic gradient in the opioid epidemic. Across drug categories, controlled medications were much more likely to be prescribed to individuals living in majority-white areas. These discrepancies may have shielded nonwhite communities from the brunt of the prescription opioid epidemic but also represent disparities in treatment and access to all medications.

Impact of Child and Maternal Weight on Healthcare Trainee Clinical Assessment Decision Making: A Virtual Human Study

BACKGROUND

Adult literature documents that healthcare providers rely on patient characteristics, such as age, race, and weight, when making clinical decisions. However, little research has examined these biases among pediatric populations. This study aimed to examine the impact of child and maternal weight and race on clinical decision-making of healthcare trainees in the context of a pediatric pain assessment using standardized virtual pediatric patients and mothers.

METHODS

Ninety-two healthcare trainees read a standardized clinical vignette describing a child with chronic pain, which was accompanied by eight virtual human (VH) scenes-each with a child and mother. Scenes varied by the dyad's race, child's weight status, and mother's weight status. For each scene, participants were asked to make six healthcare assessment ratings.

RESULTS

Participants rated children (M = 42.44 vs. 48.69; p < 0.001) and mothers (M = 51.06 vs. 65.31; p < 0.001) with obesity as being less likely to adhere to physician recommendations compared with healthy weight children and mothers. Child patients with obesity (M = 38.88 vs. 30.08; p < 0.001) and mothers with obesity (M = 49.71 vs. 43.71; p < 0.001) were also rated as bearing more responsibility for the child's health status compared with healthy weight peers.

CONCLUSIONS

This study provides evidence that child and mother weight can impact clinical decision-making, as well as for the utility of VH technology in studying decision-making among healthcare trainees and providers.

Social Influences on Peer Judgments about Chronic Pain and Disability

Chronic pain is a leading cause of work absenteeism and disability compensation. Previous work demonstrates that patients with chronic illness often seek advice, such as whether or not to pursue disability benefits, from peers with similar health conditions. The current study examined the extent that social factors influence patients with chronic pain ("peers") when making disability judgments and recommendations for other patients with chronic pain. Participants (N = 71) made pain-related and disability ratings for fictional vignette patients that varied in weight (normal vs obese), fault of accident, and physical work demands. Results of repeated measures analyses of variance indicated that participants rated patients with obesity, who were not at fault, and who held a physically demanding job as experiencing more severe pain symptoms and disability and were more likely to recommend they seek disability benefits. Participants who had applied for disability benefits themselves rated patients as more disabled than participants who had not applied for disability. These data suggest that patients with chronic pain are influenced by patient and contextual factors when making pain-related and disability judgments for peers. These judgments may impact patient decision making via peer support programs and online forums. PERSPECTIVE: This study suggests that patients with chronic pain are influenced by patient weight, fault of accident, and physical work demands when making judgments about pain and disability for peers. Future studies should examine the extent such peer-to-peer recommendations influence actual disability-seeking behaviors for pain.

Using Virtual Human Technology to Examine Weight Bias and the Role of Patient Weight on Student Assessment of Pediatric Pain

The purpose of the study was to investigate the influence of weight bias and demographic characteristics on the assessment of pediatric chronic pain. Weight status, race, and sex were manipulated in a series of virtual human (VH) digital images of children. Using a web-based platform, 96 undergraduate students with health care-related majors (e.g., Health Science, Nursing, Biology, and Pre-Medicine) read a clinical vignette and provided five ratings targeting the assessment of each VH child's pain. Students also answered a weight bias questionnaire. Group-based analyses were conducted to determine the influence of the VH child's weight and demographic cues, as well as greater weight bias on assessment ratings. Male and VH children with obesity were rated as more likely to avoid non-preferred activities due to pain compared to female and healthy weight children, respectively (both p < .001). The pain of VH children with obesity was rated as more likely to be influenced by psychological/behavioral issues compared to the pain of healthy weight VH children (p = .022). African American VH children were rated as experiencing significantly greater pain than Caucasian VH children (p = .037). As child weight increased, low weight bias participants felt more sympathy, while high weight bias participants felt less sympathy (p = .002). Also, low weight bias participants showed increased motivation to help, while high weight bias participants showed less motivation to help, as VH patient weight increased (p = .008). Child weight and evaluator weight bias may be influential in the assessment of pediatric pain. If supported by future research, results highlight the importance of training in evidence-based practice and education on weight bias for students majoring in health-care fields.

Pain Assessment Discrepancies: A Cross-Sectional Study Highlights the Amount of Underrated Pain

BACKGROUND

Inadequately treated postoperative pain can lead to longer healing processes, longer hospital stays, and the development of chronic pain. In a 900-bed university hospital in Switzerland, pain scores were assessed systematically. The study's primary aim was to define whether the routine pain assessment on the ward is accurate and reproducible. Subsequently the obtained data were used for a benchmark analysis to determine the hospital's performance in pain assessment quality compared with similar centers.

METHODS

During a 3-month period, PAIN OUT questionnaires were used for patients' interviews. Patients were included randomly according to the daily surgical schedule. Pain scores were assessed routinely by nursing staff on the wards and compared to PAIN OUT data. The ascertained data were analyzed by descriptive statistics as well as the Wilcoxon test for nonparametric values using IBM SPSS.

RESULTS

658 patients were included in the study. Comparing routine pain measurements with PAIN OUT results revealed that within the first 24 hours on the ward, pain scores were significantly lower than measured with PAIN OUT questionnaires. This difference increased with increasing pain scores. The quality of pain management of the hospital in which this study was performed ranged around the 50th percentile when compared to similar centers.

CONCLUSION

The cross-sectional data comparison of pain assessment by the ward staff and by interviews with the PAIN OUT questionnaire showed a large gap of underrated pain. The benchmark analysis with the method of PAIN OUT suggests a decent pain management among reference groups.

Health care providers' judgments in chronic pain: the influence of gender and trustworthiness

Estimates of patients' pain, and judgments of their pain expression, are affected by characteristics of the observer and of the patient. In this study, we investigated the impact of high or low trustworthiness, a rapid and automatic decision made about another, and of gender and depression history on judgments made by pain clinicians and by medical students. Judges viewed a video of a patient in pain presented with a brief history and rated his or her pain, and the likelihood that it was being exaggerated, minimized, or hidden. Judges also recommended various medical and treatment options. Contrary to expectations, trustworthiness had no main effect on pain estimates or judgments, but interacted with gender producing pervasive bias. Women, particularly those rated of low trustworthiness, were estimated to have less pain and to be more likely to exaggerate it. Unexpectedly, judgments of exaggeration and pain estimates were independent. Consistent with those judgments, men were more likely to be recommended analgesics, and women to be recommended psychological treatment. Effects of depression history were inconsistent and hard to interpret. Contrary to expectations, clinicians' pain estimates were higher than medical students', and indicated less scepticism. Empathy was unrelated to these judgments. Trustworthiness merits further exploration in healthcare providers' judgments of pain authenticity and how it interacts with other characteristics of patients. Furthermore, systematic disadvantage to women showing pain is of serious concern in healthcare settings.

A Lens Model Approach to the Communication of Pain

Two studies examined the expression and detection of suppressed, genuine, and exaggerated pain. In Study 1, videotaped participants underwent an acute laboratory pain stressor and completed pain ratings. In Study 2, the lens model examined the cues encoders displayed while in pain (facial expressions of pain and viewers' global impressions), the cues decoders used to infer pain in the videotaped encoders, and decoders' accuracy in making judgments of pain. Results revealed expression differences between the suppressed, genuine, and exaggerated pain such that exaggerated expressions contained more tightened facial expressions while genuine expressions of pain contained more open facial expressions of pain. Decoders were accurate at detecting pain only in the exaggerated pain expressions. These results highlight the need for improving providers' accuracy in detecting pain intensity for suppressed, genuine, and exaggerated pain displays. Trainings should focus on teaching providers that patients who appear more agitated and less composed may be suppressing pain, while patients who appear more tense and determined may be exaggerating pain. Finally, patients who seem to not be in that much pain because they are not showing tightened facial expressions may actually be experiencing higher intensities of genuine pain.

Sex and Gender Differences in Central Nervous System-Related Disorders

There are important sex differences in the brain that seem to arise from biology as well as psychosocial influences. Sex differences in several aspects of human behavior and cognition have been reported. Gonadal sex steroids or genes found on sex chromosomes influence sex differences in neuroanatomy, neurochemistry and neuronal structure, and connectivity. There has been some resistance to accept that sex differences in the human brain exist and have biological relevance; however, a few years ago, it has been recommended by the USA National Institute of Mental Health to incorporate sex as a variable in experimental and clinical neurological and psychiatric studies. We here review the clinical literature on sex differences in pain and neurological and psychiatric diseases, with the aim to further stimulate interest in sexual dimorphisms in the brain and brain diseases, possibly encouraging more research in the field of the implications of sex differences for treating these conditions.

Assessment of the Influence of Demographic and Professional Characteristics on Health Care Providers' Pain Management Decisions Using Virtual Humans

Disparities in health care associated with patients' gender, race, and age are well documented. Previous studies using virtual human (VH) technology have demonstrated that provider characteristics may play an important role in pain management decisions. However, these studies have largely emphasized group differences. The aims of this study were to examine dentists' and physicians' use of VH characteristics when making clinical judgments (i.e., cue use) and to identify provider characteristics associated with the magnitude of the impact of these cues (β-weights). Providers (N=152; 76 physicians, 76 dentists) viewed video vignettes of VH patients varying in gender (male/female), race (white/black), and age (younger/older). Participants rated VH patients' pain intensity and unpleasantness and then rated their own likelihood of administering non-opioid and opioid analgesics. Compared to physicians, dentists had significantly lower β-weights associated with VH age cues for all ratings (p<0.001; d>0.69). These effects varied by provider race and gender. For pain intensity, professional differences were present only among non-white providers. White providers had greater β-weights than non-white providers for pain unpleasantness but only among men. Provider differences regarding the use of VH age cues in non-opioid analgesic administration were present among all providers except non-white males. These findings highlight the interaction of patient and provider factors in driving clinical decision making. Although profession was related to use of VH age cues in pain-related clinical judgments, this relationship was modified by providers' personal characteristics. Additional research is needed to understand what aspects of professional training or practice may account for differences between physicians and dentists and what forms of continuing education may help to mitigate the disparities.

Pain Assessment--Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis

Background: Mobile and web technologies are becoming increasingly used to support the treatment of chronic pain conditions. However, the subjectivity of pain perception makes its management and evaluation very difficult. Pain treatment requires a multi-dimensional approach (e.g., sensory, affective, cognitive) whence the evidence of technology effects across dimensions is lacking. This study aims to describe computerised monitoring systems and to suggest a methodology, based on statistical analysis, to evaluate their effects on pain assessment. Methods: We conducted a review of the English-language literature about computerised systems related to chronic pain complaints that included data collected via mobile devices or Internet, published since 2000 in three relevant bibliographical databases such as BioMed Central, PubMed Central and ScienceDirect. The extracted data include: objective and duration of the study, age and condition of the participants, and type of collected information (e.g., questionnaires, scales). Results: Sixty-two studies were included, encompassing 13,338 participants. A total of 50 (81%) studies related to mobile systems, and 12 (19%) related to web-based systems. Technology and pen-and-paper approaches presented equivalent outcomes related with pain intensity. Conclusions: The adoption of technology was revealed as accurate and feasible as pen-and-paper methods. The proposed assessment model based on data fusion combined with a qualitative assessment method was revealed to be suitable. Data integration raises several concerns and challenges to the design, development and application of monitoring systems applied to pain.

Accuracy in ED Triage for Symptoms of Acute Myocardial Infarction

More than 6 million people present to emergency departments across the United States annually with symptoms of acute myocardial infarction (AMI). Of the 1 million patients with AMI, 350,000 die during the acute phase. Accurate ED triage can reduce mortality and morbidity, yet accuracy rates are low. In this study we explored the relationship between patient and nurse characteristics and accuracy of triage in patients with symptoms of AMI.

METHODS

This retrospective, descriptive study used patient data from electronic medical records. The sample of 286 patients was primarily white, with a mean age of 61.44 years (standard deviation [SD], ±13.02), and no history of heart disease. The sample of triage nurses was primarily white and female, with a mean age of 45.46 years (SD, ±11.72) and 18 years of nursing experience. Nineteen percent of the nurses reported having earned a bachelor's degree.

RESULTS

Emergency nurse triage accuracy was 54%. Patient race and presence of chest pain were significant predictors of accuracy. Emergency nurse age was a significant predictor of accuracy in triage, but years of experience in nursing was not a significant predictor.

DISCUSSION

Of the 9 variables investigated, only patient race, symptom presentation, and emergency nurse age were significant predictors of triage accuracy. Inconsistency in triage decisions may be due to other conditions not yet explored, such as critical thinking skills and executive functions. This study adds to the body of evidence regarding ED triage of patients with symptoms of AMI. However, further exploration into decisions at triage is warranted to improve accuracy, expedite care, and improve outcomes.

Effect of a perspective-taking intervention on the consideration of pain assessment and treatment decisions

Objectives

Pain is often poorly managed, highlighting the need to better understand and treat patients’ pain. Research suggests that pain is assessed and treated differently depending on patient sex, race, and/or age. Perspective-taking, whereby one envisions the perspective of another, has been found to reduce racial disparities in pain management. This study used virtual human (VH) technology to examine whether a perspective-taking intervention impacts pain management decisions.

Methods

Ninety-six participants were randomized to an online treatment or control group and viewed 16 video clips of VHs with standardized levels of pain. Participants provided ratings on the VHs’ pain intensity and their willingness to administer opioids to them. The intervention group received a brief perspective-taking intervention that consisted of having participants imagine how the patient’s suffering could affect his/her life, whereas the control group was asked to wait for the next VH videos to load. A LENS model analysis was used to investigate both group level (nomothetic) and individual level (idiographic) decision policies. A LENS model of analysis is typically used as an analog method for capturing how groups of people and individuals use information in their environment to form judgments.

Results

Nomothetic results found that participants rated pain higher and were more likely to prescribe opioids to VHs postintervention, irrespective of group. Idiographic results, however, found that the use of cues to make pain management decisions was mitigated by the perspective-taking group. The participants in the perspective-taking group were more likely to think about pain and the patients’ perspective during the intervention, while control participants were more likely to reflect on the VHs’ sex, race, or age.

Conclusion

A brief intervention may alter participants’ pain management decisions. These results indicate that a brief intervention might be an initial step toward aligning observers’ pain management ratings with those of the patient. Future research is needed to replicate findings in a health care population.

Development and validation of a virtual human vignette to compare nurses' assessment and intervention choices for pain in critically ill children

INTRODUCTION

As virtual experiences are increasingly used in health care training and research, it is important that adequate processes are applied for developing valid scenarios. We describe the development and validation of virtual human (VH) vignettes, computer-generated scenarios with animated patients and clinical information, for a mixed-methods study regarding nurses' assessment and intervention choices for critically ill children's pain.

METHODS

We followed the case development and review process for high-fidelity simulation case scenarios, including the use of validated written vignettes and content experts. Forty nurses described their pain assessment and intervention choices for the newly derived VH vignettes and completed a pain questionnaire. Nurses' reports of VH vignette consistency with their professional experience and recognition of VH facial expressions were evaluated to establish face validity. Their pain ratings for the VH and written (questionnaire) vignettes were evaluated for convergent validity. Qualitative content analysis, descriptive statistics, correlations, and paired t tests were used.

RESULTS

Most nurses (68.4%) supported vignette consistency with their professional experience. Facial expression recognition was 98.4%. Smiling children's pain was rated significantly lower than grimacing children in both VH and written vignettes. Pain was rated significantly lower for grimacing children in the VH vignettes than the written vignettes. Virtual human vignette pain ratings were strongly correlated with their written counterparts.

CONCLUSIONS

This process was effective for developing VH vignettes that demonstrated good face validity with participants and convergent validity with written vignettes. Virtual human vignettes may be useful in studying the influence of facial actions on nurses' choices for children's pain assessment and treatment.

Examining influential factors in providers' chronic pain treatment decisions: a comparison of physicians and medical students

BACKGROUND

Chronic pain treatment guidelines are unclear and conflicting, which contributes to inconsistent pain care. In order to improve pain care, it is important to understand the various factors that providers rely on to make treatment decisions. The purpose of this study was to examine factors that reportedly influence providers' chronic pain treatment decisions. A secondary aim was to examine differences across participant training level.

METHODS

Eighty-five participants (35 medical students, 50 physicians) made treatment decisions for 16 computer-simulated patients with chronic pain. Participants then selected from provided lists the information they used and the information they would have used (had it been available) to make their chronic pain treatment decisions for the patient vignettes.

RESULTS

Frequency analyses indicated that most participants reported using patients' pain histories (97.6 %) and pain description (95.3 %) when making treatment decisions, and they would have used information about patients' previous treatments (97.6 %) and average and current pain ratings (96.5 %) had this information been available. Compared to physicians, medical students endorsed more frequently that they would have used patients' employment and/or disability status (p < 0.05). A greater proportion of medical students wanted information on patients' use of illicit drugs and alcohol to make treatment decisions; while a greater proportion of physicians reported using personal experience to inform their decisions.

DISCUSSION

This study found providers use patients' information and their own experiences and intuition to make chronic pain treatment decisions. Also, participants of different training levels report using different patient and personal factors to guide their treatment decisions.

CONCLUSIONS

These results highlight the complexity of chronic pain care and suggest a need for more chronic pain education aimed at medical students and practicing providers.

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.

Unconscious Race and Class Biases among Registered Nurses: Vignette-Based Study Using Implicit Association Testing

BACKGROUND

Implicit bias is an unconscious preference for a specific social group that can have adverse consequences for patient care. Acute care clinical vignettes were used to examine whether implicit race or class biases among registered nurses (RNs) impacted patient-management decisions.

STUDY DESIGN

In a prospective study conducted among surgical RNs at the Johns Hopkins Hospital, participants were presented 8 multi-stage clinical vignettes in which patients' race or social class were randomly altered. Registered nurses were administered implicit association tests (IATs) for social class and race. Ordered logistic regression was then used to examine associations among treatment differences, race, or social class, and RN's IAT scores. Spearman's rank coefficients comparing RN's implicit (IAT) and explicit (stated) preferences were also investigated.

RESULTS

Two hundred and forty-five RNs participated. The majority were female (n=217 [88.5%]) and white (n=203 [82.9%]). Most reported that they had no explicit race or class preferences (n=174 [71.0%] and n=108 [44.1%], respectively). However, only 36 nurses (14.7%) demonstrated no implicit race preference as measured by race IAT, and only 16 nurses (6.53%) displayed no implicit class preference on the class IAT. Implicit association tests scores did not statistically correlate with vignette-based clinical decision making. Spearman's rank coefficients comparing implicit (IAT) and explicit preferences also demonstrated no statistically significant correlation (r=-0.06; p=0.340 and r=-0.06; p=0.342, respectively).

CONCLUSIONS

The majority of RNs displayed implicit preferences toward white race and upper social class patients on IAT assessment. However, unlike published data on physicians, implicit biases among RNs did not correlate with clinical decision making.

The influence of health care professional characteristics on pain management decisions

OBJECTIVE

Evidence suggests that patient characteristics such as sex, race, and age influence the pain management decisions of health care providers. Although this signifies that patient demographics may be important determinants of health care decisions, pain-related care also may be impacted by the personal characteristics of the health care practitioner. However, the extent to which health care provider characteristics affect pain management decisions is unclear, underscoring the need for further research in this area.

METHODS

A total of 154 health care providers (77 physicians, 77 dentists) viewed video vignettes of virtual human (VH) patients varying in sex, race, and age. Practitioners provided computerized ratings of VH patients' pain intensity and unpleasantness, and also reported their willingness to prescribe non-opioid and opioid analgesics for each patient. Practitioner sex, race, age, and duration of professional experience were included as predictors to determine their impact on pain management decisions.

RESULTS

When assessing and treating pain, practitioner sex, race, age, and duration of experience were all significantly associated with pain management decisions. Further, the role of these characteristics differed across VH patient sex, race, and age.

CONCLUSIONS

These findings suggest that pain assessment and treatment decisions may be impacted by the health care providers' demographic characteristics, effects which may contribute to pain management disparities. Future research is warranted to determine whether findings replicate in other health care disciplines and medical conditions, and identify other practitioner characteristics (e.g., culture) that may affect pain management decisions.

Gender bias in clinical research, pharmaceutical marketing, and the prescription of drugs

This thesis is part of the studies of gender bias in health which together with the paradigm of evidence-based medicine shares the empirical assumption that there are inaccuracies in medical practice, in addition to a lack of rigour and transparency. It worked with the distinction between the concepts of sex and gender and between the concepts of sex-related differences and gender inequalities, in terms of applying a gender perspective in the study design and the subsequent analysis. This PhD review presents the research process conducted in Spain, which can provide an example for future research. Study I described a review of 58 clinical trials (CTs) of etoricoxib to assess its compliance with the Recommendations of Evaluation of Gender Differences in the Clinical Evaluation of Drugs. In Study II, key informants from professions related to different areas in drug development and pharmacovigilance held a working meeting to reach a consensus document on recommendations for the study and evaluation of gender differences in CTs in Spain. In Study III, the websites of the eight best-selling hormone replacement therapy drugs in Spain on Google first page of results were analysed. In Study IV, a logistic regression analysis was performed to compare analgesic prescription by sex in regions with a higher or lower Gender Development Index (GDI) than the Spanish average. Gender biases identified in this thesis limited the legitimacy of medicine, which is not based on the best possible evidence. The results also demonstrate the existence of inequalities between men and women that are not due merely to biological differences, but are gender inequalities stemming from the social differences that exist between both sexes.

Using virtual human technology to provide immediate feedback about participants' use of demographic cues and knowledge of their cue use

Demographic characteristics have been found to influence pain management decisions, but limited focus has been placed on participants' reactions to feedback about their use of sex, race, or age to make these decisions. The present study aimed to examine the effects of providing feedback about the use of demographic cues to participants making pain management decisions. Participants (N = 107) viewed 32 virtual human patients with standardized levels of pain and provided ratings for virtual humans' pain intensity and their treatment decisions. Real-time lens model idiographic analyses determined participants' decision policies based on cues used. Participants were subsequently informed about cue use and completed feedback questions. Frequency analyses were conducted on responses to these questions. Between 7.4 and 89.4% of participants indicated awareness of their use of demographic or pain expression cues. Of those individuals, 26.9 to 55.5% believed this awareness would change their future clinical decisions, and 66.6 to 75.9% endorsed that their attitudes affect their imagined clinical practice. Between 66.6 and 79.1% of participants who used cues reported willingness to complete an online tutorial about pain across demographic groups. This study was novel because it provided participants feedback about their cue use. Most participants who used cues indicated willingness to participate in an online intervention, suggesting this technology's utility for modifying biases.

PERSPECTIVE

This is the first study to make individuals aware of whether a virtual human's sex, race, or age influences their decision making. Findings suggest that a majority of the individuals who were made aware of their use of demographic cues would be willing to participate in an online intervention.