Patient Pain Experiences and the Emergency Department Encounter: A Qualitative Analysis

Patient perceptions of microaggressions and discrimination toward patients during emergency department care

BACKGROUND

Disparities in emergency department (ED) care based on race and ethnicity have been demonstrated. Patient perceptions of emergency care can have broad impacts, including poor health outcomes. Our objective was to measure and explore patient experiences of microaggressions and discrimination during ED care.

METHODS

This mixed-methods study of adult patients from two urban academic EDs integrates quantitative discrimination measures and semistructured interviews of discrimination experiences during ED care. Participants completed demographic questionnaires and the Discrimination in Medical Settings (DMS) scale and were invited for a follow-up interview. Transcripts of recorded interviews were analyzed leveraging conventional content analysis with line-by-line coding for thematic descriptions.

RESULTS

The cohort included 52 participants, with 30 completing the interview. Nearly half the participants were Black (n = 24, 46.1%) and half were male (n = 26, 50%). "No" or "rare" experiences of discrimination during the ED visit were reported by 22/48 (46%), some/moderate discrimination by 19/48 (39%), and significant discrimination in 7/48 (15%). Five main themes were found: (1) clinician behaviors-communication and empathy, (2) emotional response to health care team actions, (3) perceived reasons for discrimination, (4) environmental pressures in the ED, and (5) patients are hesitant to complain. We found an emergent concept where persons with moderate/high DMS scores, in discussing instances of discrimination, frequently reflected on previous health care experiences rather than on their current ED visit.

CONCLUSIONS

Patients attributed microaggressions to many factors beyond race and gender, including age, socioeconomic status, and environmental pressures in the ED. Of those who endorsed moderate to significant discrimination via survey response during their recent ED visit, most described historical experiences of discrimination during their interview. Previous experiences of discrimination may have lasting effects on patient perceptions of current health care. System and clinician investment in patient rapport and satisfaction is important to prevent negative expectations for future encounters and counteract those already in place.

Patient motivators to use opioids for acute pain after emergency care

Introduction

Patients are stakeholders in their own pain management. Factors motivating individuals to seek or use opioids therapeutically for treatment of acute pain are not well characterized but could be targeted to reduce incident iatrogenic opioid use disorder (OUD). Emergency departments (EDs) commonly encounter patients in acute pain for whom decisions regarding opioid therapy are required. Decision-making is necessarily challenged in episodic, unscheduled care settings given time pressure, limited information, and lack of pre-existing patient provider relationship. Patients may decline to take prescribed opioids or conversely seek opioids from other providers or non-medical sources.

Methods

Using a framework analysis approach, we qualitatively analyzed transcripts from 29 patients after discharge from an ED visit for acute pain at a large, urban, academic hospital in the midwestern United States to describe motivating factors influencing patient decisions regarding opioid use for acute pain. A semi-structured interview guide framed participant discussion in either a focus group or interview transcribed and analyzed with conventional content analysis.

Results

Four major themes emerged from our analysis including a) pain management literacy, b) control preferences, c) risk tolerance, and d) cues to action.

Discussion

Our findings suggest targets for future intervention development and a framework to guide the engagement of patients as stakeholders in their own acute pain management.

Personalized risk communication and opioid prescribing in association with nonprescribed opioid use: A secondary analysis of a randomized controlled trial

BACKGROUND

To determine the impact of personalized risk communication and opioid prescribing on nonprescribed opioid use, we conducted a secondary analysis of randomized controlled trial participants followed prospectively for 90 days after an emergency department (ED) visit for acute back or kidney stone pain.

METHODS

A total of 1301 individuals were randomized during an encounter at four academic EDs into a probabilistic risk tool (PRT) arm, a narrative-enhanced PRT arm, or a general risk information arm (control). In this secondary analysis, both risk tool arms were combined and compared with the control arm. We used logistic regressions to determine associations between receiving personalized risk information, receiving an opioid prescription in the ED, and nonprescribed opioid use in general and by race.

RESULTS

Complete follow-up data were available for 851 participants; 23.3% (n = 198) were prescribed opioids (34.2% of White vs. 11.6% of Black participants, p < 0.001). Fifty-six (6.6%) participants used nonprescribed opioids. Participants in the personalized risk communication arms had lower nonprescribed opioid use odds (adjusted odds ratio [aOR] 0.58, 95% confidence interval [CI] 0.4-0.83). Black versus White participants had greater nonprescribed opioid use odds (aOR 3.47, 95% CI 2.05-5.87, p < 0.001). Black participants who were prescribed opioids had a lower marginal probability of using nonprescribed opioids versus those who were not (0.06, 95% CI 0.04-0.08, p < 0.001 vs. 0.10, 95% CI 0.08-0.11, p < 0.001). The absolute risk difference in nonprescribed opioid use for Black and White participants, respectively, in the risk communication versus the control arm, was 9.7% and 0.1% (relative risk ratio 0.43 vs. 0.95).

CONCLUSIONS

Among Black but not White participants, personalized opioid risk communication and opioid prescribing were associated with lower odds of nonprescribed opioid use. Our findings suggest that racial disparities in opioid prescribing-which have been previously described within the context of this trial-may paradoxically increase nonprescribed opioid use. Personalized risk communication may effectively reduce nonprescribed opioid use, and future research should be designed specifically to explore this possibility in a larger cohort.