The Influence of Race and Gender on Nursing Care Decisions: A Pain Management Intervention

Race and gender biases in assessing pain intensity and medication needs among Chinese observers

Introduction

Pain-related decision-making can be influenced by the caregiver and sufferer's demographic factors, such as race and gender, which are commonly considered individually. However, such factors may influence pain assessment interdependently based on caregivers' stereotypical beliefs.

Objectives

This study investigated how sufferers' race and gender affect Chinese observers' evaluations of pain intensity and medication needs and the associations with the observers' race and gender-related stereotypical beliefs.

Methods

One hundred sixty-two Chinese participants completed a pain facial expression rating task assessing the level of pain intensity and the extent to which they believe the sufferer needs pain medication for East Asian, White, and Black sufferers, followed by a battery of questionnaires measuring their gender and race role expectation of pain.

Results

Chinese observers were more stringent on East Asians' pain intensity and needs for medication than Whites and Blacks'. However, when Black and East Asian sufferers were perceived to have a similar level of pain, East Asians were more likely to receive medication than Blacks, which is partly due to the observers' stereotypical beliefs that Blacks would have a speedier recovery than East Asians.

Conclusions

Our results provided evidence that in addition to the in-versus-out-group preferences, one's sociocultural-related stereotypical beliefs can account for racial disparities in pain-related decision-making.

Gender-based differences in assessment and management of acute abdominal pain in the emergency department: A retrospective audit

BACKGROUND

Previous research has identified gender-based differences in acute pain management in the emergency department [ED]. The aim of this study was to compare pharmacological management of acute abdominal pain in the ED by gender.

METHODS

A retrospective chart audit was conducted at one private metropolitan ED including adult patients (18-80 years) who presented with acute abdominal pain in 2019. Exclusion criteria included: pregnancy, repeat presentation within the study period, pain-free at initial medical review or documented refusal of analgesia, and oligo-analgesia. Comparisons by gender included: (1) analgesia type and (2) time to analgesia. Bivariate analysis was undertaken using SPSS.

RESULTS

There were 192 participants: 61 (31.6 %) men and 131 (67.9 %) women. Men were more likely to get combined opioid and non-opioid medication as first line analgesia (men: 26.2 % n = 16; women: 14.5 % n = 19, p = .049). Median time from ED presentation to analgesia was 80 min for men (IQR: 60) versus 94 min for women (IQR: 58), (p = .119). Women (25.2 % n = 33) were more likely to receive their first analgesic after 90 min from ED presentation compared to men versus men (11.5 %, n = 7 p = .029). In addition, women waited longer before receiving second analgesia (women: 94, men: 30 min, p = .032).

CONCLUSION

Findings confirm there are differences in pharmacological management of acute abdominal pain in the ED. Larger studies are required to further explore differences observed in this study.

Cognitive and implicit biases in nurses' judgment and decision-making: A scoping review

BACKGROUND

Cognitive and implicit biases of healthcare providers can lead to adverse events in healthcare and have been identified as a patient safety concern. Most research on the impact of these systematic errors in judgment has been focused on diagnostic decision-making, primarily by physicians. As the largest component of the workforce, nurses make numerous decisions that affect patient outcomes; however, literature on nurses' clinical judgment often overlooks the potential impact of bias on these decisions. The aim of this study was to map the evidence and key concepts related to bias in nurses' judgment and decision-making, including interventions to correct or overcome these biases.

METHODS

We conducted a scoping review using Joanna Briggs methodology. In November 2020 we searched CINAHL, PsychInfo, and PubMed databases to identify relevant literature. Inclusion criteria were primary research about nurses' bias; evidence of a nursing decision or action; and English language. No date or geographic limitations were set.

RESULTS

We found 77 items that met the inclusion criteria. Over half of these items were published in the last 12 years. Most research focused on implicit biases related to racial/ethnic identity, obesity, and gender; other articles examined confirmation, attribution, anchoring, and hindsight biases. Some articles examined heuristics and were included if they described the process of, and the problems with, nurse decision-making. Only 5 studies tested interventions to overcome or correct biases. 61 of the studies relied on vignettes, surveys, or recall methods, rather than examining real-world nursing practice. This could be a serious oversight because contextual factors such as cognitive load, which have a significant impact on judgment and decision-making, are not necessarily captured with vignette or survey studies. Furthermore, survey and vignette studies make it difficult to quantify the impact of these biases in the healthcare system.

CONCLUSIONS

Given the serious effects that bias has on nurses' clinical judgment, and thereby patient outcomes, a concerted, systematic effort to identify and test debiasing strategies in real-world nursing settings is needed.

TWEETABLE ABSTRACT

Bias affects nurses' clinical judgment - we need to know how to fix it.

Pain Control Disparities in Acute Pancreatitis

Background and objective

Patient treatments and outcomes have historically differed based on age, sex, race/ethnicity, and social factors, and there is a growing awareness that such disparities still exist. While prior studies have found that patients belonging to minority groups have their pain undertreated, few studies have evaluated pain control based on age, sex, body mass index (BMI), or presence of a substance use disorder (SUD). The studies that do exist have inconsistent results. This study aimed to evaluate pain control in patients admitted to a Denver academic safety net hospital for acute pancreatitis. Pancreatitis is an inherently painful condition involving pancreatic inflammation and for which adequate pain control is a cornerstone of treatment; this makes it an ideal disease state for an exploratory analysis into the experience of pain within different patient groups.

Methods

This was a retrospective cohort study of patients treated at the Denver Health Medical Center from January 1, 2017, through December 31, 2019, for acute pancreatitis; 659 patients met the inclusion criteria and were included in the study. Pain control during the first 24 hours of hospital admission was analyzed by comparing controlled vs. uncontrolled reports of pain and mean pain scores. Patients were stratified by age, sex, self-reported race/ethnicity, BMI, and presence of SUD at the time of admission. Achievement of "controlled pain," as defined by a pain score below the patient’s stated functional pain goal, was then analyzed. Chi-squared analysis was employed to look into differences within and between groups. Additionally, a t-test was used to compare mean pain scores between groups with controlled and uncontrolled pain.

Results

A statistically significant difference in pain control was found when stratified by age or the presence of SUD (p<0.001). Within these groups, 39% of those aged 18-40 years achieved pain control, compared with 49% of those aged 41-64 years and 66% of those aged 65 years and older. Among those with active SUD, only 41% were able to achieve pain control compared with 58% of those without SUD. Among those who achieved pain control, the average mean pain score was 5, which decreased to 4 within 24 hours. Among those who did not achieve pain control, the average mean pain score was 7, which remained at 7 at 24 hours (p<0.001).

Conclusions

We did not find significant differences in the ability to achieve tolerable pain control based on sex or BMI. We were unable to appropriately analyze differences based on race/ethnicity due to an inability to differentiate between White Hispanic and White non-Hispanic populations within Epic. However, we did find significantly poorer pain control in younger patients and those with an active SUD.

Factors contributing to 1-year dissatisfaction after total knee arthroplasty: a nomogram prediction model

Background

Identifying risk factors and early intervention are critical for improving the satisfaction rate of total knee arthroplasty (TKA). Our study aimed to identify patient-specific variables and establish a nomogram model to predict dissatisfaction at 1 year after TKA.

Methods

This prospective cohort study involved 208 consecutive primary TKA patients with end-stage arthritis who completed self-reported measures preoperatively and at 1 year postoperatively. All participants were randomized into a training cohort (n = 154) and validation cohort (n = 54). Multiple regression models with preoperative and postoperative factors were used to establish the nomogram model for dissatisfaction at 1 year postoperatively. The least absolute shrinkage and selection operator method was used to screen the suitable and effective risk factors (demographic variables, preoperative variables, surgical variable, and postoperative variables) collected. These variables were compared between the satisfied and dissatisfied groups in the training cohort. The receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis were used to validate the discrimination, calibration, and clinical usefulness of the model. Results were evaluated by internal validation of the validation cohort.

Results

The overall satisfaction rate 1 year after TKA was 77.8%. The nomogram prediction model included the following risk factors: gender; primary diagnosis; postoperative residual pain; poor postoperative range of motion; wound healing; and the rate of change in the degree of coronal lower limb alignment (hip–knee–ankle angle, HKA).The ROC curves of the training and validation cohorts were 0.9206 (95% confidence interval [CI], 0.8785–0.9627) and 0.9662 (0.9231, 1.0000) (95% CI, 0.9231, 1.0000), respectively. The Hosmer–Lemeshow test showed good calibration of the nomogram (training cohort, p = 0.218; validation cohort, p = 0.103).

Conclusion

This study developed a prediction nomogram model based on partially modifiable risk factors for predicting dissatisfaction 1 year after TKA. This model demonstrated good discriminative capacity for identifying those at greatest risk for dissatisfaction and may help surgeons and patients identify and evaluate the risk factors for dissatisfaction and optimize TKA outcomes.

Gender differences in perceived pain and health-related quality of life in people with chronic non-malignant pain: a cross-sectional study

BACKGROUND

Chronic pain has a disproportionate impact on members of vulnerable population groups, and women are at substantially greater risk than men of suffering multiple chronic pain disorders. Moreover, one of the aspects most affected by the presence of chronic pain is that of health-related quality of life (HRQoL), worsening over time, as the disease persists.

OBJECTIVES

To describe the profile of patients who suffer non-malignant chronic pain, from a gender perspective, and to identify factors related to their HRQoL and mental health.

DESIGN

A cross-sectional study was carried out in patients with chronic non-cancer pain.

METHODS

Sociodemographic variables, pain intensity at rest and in motion, SF-36 health questionnaire, anxiety, and depression were evaluated.

RESULTS

The study population consisted of 531 subjects, of whom 64.2% were women. The mean age was 52.9 (SD: 10.4) years. The pain intensity recorded on the visual analogue scale was 6 (SD: 2.7) at rest and 8 (SD: 2) in motion. Physical component score and mental component score of quality of life were worse in women vs men: 33.73 (6.77) vs 32.33 (6.20), for the physical component; 36.89 (12.77) vs 32.91 (11.51), for mental component. Anxiety, depression and pain intensity, showed poorer results in women.

CONCLUSION

Gender is a factor that should be considered in assessing and managing chronic pain, due to its influence on the perception of pain, and HRQoL.

IMPACT STATEMENT

Gender is an important modifier of the perception of pain, and HRQoL. To achieve a patient-centred approach, nurses should incorporate gender as a differential factor to adapt and individualize pain management and patient education.

Recommendations and Guidelines for the Use of Simulation to Address Structural Racism and Implicit Bias

SUMMARY STATEMENT

Simulation-based education is a particularly germane strategy for addressing the difficult topic of racism and implicit bias due to its immersive nature and the paradigm of structured debriefing. Researchers have proposed actionable frameworks for implicit bias education, particularly outlining the need to shift from recognition to transformation, with the goal of changing discriminatory behaviors and policies. As simulation educators tasked with training health care professionals, we have an opportunity to meet this need for transformation. Simulation can shift behaviors, but missteps in design and implementation when used to address implicit bias can also lead to negative outcomes. The focus of this article is to provide recommendations to consider when designing simulation-based education to specifically address racism and implicit bias.

Is There a Gender Self-Advocacy Gap? An Empiric Investigation Into the Gender Pain Gap

There are documented differences in the efficacy of medical treatment for pain for men and women. Women are less likely to have their pain controlled and receive less treatment than men. We are investigating one possible explanation for this gender pain gap: that there is a difference in how women and men report their pain to physicians, and so there is a difference in how physicians understand their pain. This paper describes an exploratory study into gendered attitudes towards reporting uncontrolled pain to a physician. This exploratory study provided subjects with a vignette describing a situation in which their pain is not being treated adequately and asked them questions about their attitudes towards self-advocacy and the strategies they would likely use to express themselves. We found that women scored higher than men on measures of patient likelihood to self-advocate. Women also reported intending to use more varied self-advocacy strategies than men. This suggests it is unlikely that patient's communication styles are to blame for the gender pain gap.

Factors That Influence Changes to Existing Chronic Pain Management Plans

BACKGROUND

The objective of this qualitative study is to better understand primary care clinician decision making for managing chronic pain. Specifically, we focus on the factors that influence changes to existing chronic pain management plans. Limitations in guidelines and training leave clinicians to use their own judgment and experience in managing the complexities associated with treating patients with chronic pain. This study provides insight into those judgments based on clinicians' first-person accounts. Insights gleaned from this study could inspire innovations aimed at supporting primary care clinicians (PCCs) in managing chronic pain.

METHODS

We conducted 89 interviews with PCCs to obtain their first-person perspective of the factors that influenced changes in treatment plans for their patients. Interview transcripts were analyzed thematically by a multidisciplinary team of clinicians, cognitive scientists, and public health researchers.

RESULTS

Seven themes emerged through our analysis of factors that influenced a change in chronic pain management: 1) change in patient condition; 2) outcomes related to treatment; 3) nonadherent patient behavior; 4) insurance constraints; 5) change in guidelines, laws, or policies; 6) approaches to new patients; and 7) specialist recommendations.

CONCLUSIONS

Our analysis sheds light on the factors that lead PCCs to change treatment plans for patients with chronic pain. An understanding of these factors can inform the types of innovations needed to support PCCs in providing chronic pain care. We highlight key insights from our analysis and offer ideas for potential practice innovations.