A Qualitative Study of the Pain Experience of Black Individuals With Cancer Taking Long-Acting Opioids

Shared decision making in routine oncology appointments with Black patients with lung cancer

PURPOSE

Poor clinician-patient communication may contribute to racialized inequities in cancer symptom burden. Shared decision-making (SDM) enhances clinician-patient communication, and could contribute to health equity for Black patients with cancer. However, research on SDM is limited for Black patients with cancer.

METHODS

This multi-method longitudinal observational study examined SDM during routine oncology follow-ups for patients with advanced lung cancer. We analyzed SDM reported by clinicians (n = 6), self-identified Black patients with lung cancer (n = 30), and coded from patient visit recordings (n = 20). We described the symptom management conversations, and examined how SDM related to patient satisfaction and symptom severity with two-sided correlations.

RESULTS

Most patients (85.0%) asked questions during appointments and discussed cancer-related symptoms (95.0%), most commonly pain/neuropathy (65.0%). Though coded SDM during symptom discussions was low, providers and patients reported high levels of SDM. Coded SDM did not statistically significantly correlate with post-appointment satisfaction (r = -.01, p > .10) or symptom burden (r = .04, p > .10). However, patient-reported SDM did relate to post-appointment satisfaction (r = .72, p = .08) and symptom burden (r = .35, p = .08) one month later.

CONCLUSIONS

Through detailed multi-method analysis, we found that coded SDM did not correspond to patient and physician-reported SDM during routine oncology appointments. Patient-reported SDM correlated to several better physical and mental health outcomes as well as overall satisfaction a month later. Our findings highlight the complexities of clinician-patient communication and the importance of studying these processes for Black patients with cancer. Future research should develop culturally-relevant methods of assessing SDM with Black patients and understand Black patients' communication needs.

Trajectories and predictors of high-occurrence pain flares in ambulatory cancer patients on opioids

BACKGROUND

Pain flares have a substantive impact on the quality of life and well-being of patients with cancer. We identified longitudinal trajectories (clusters) of cancer pain flares in ambulatory patients and sociodemographic and clinical predictors of these trajectories.

METHODS

In a prospective cohort study using ecological momentary assessment (mEMA), we collected patient-reported daily pain flare ratings data over 5 months and identified predictors and correlates using validated measures.

RESULTS

The mean age of the sample (N = 270) was 60.9 years (SD = 11.2), 64.8% were female, and 32.6% self-identified as African American. Four pain flare clusters were identified. The "high-occurrence" cluster (23% of patients) experienced 5.5 (SD = 5.47) daily flares, whereas low-moderate clusters (77%) reported 2.4 (SD = 2.74) daily flares (P < .000). Those in the high-occurrence cluster reported higher pain scores (P = .000), increased pain-related interference (P = .000), depressive symptoms (P = .023), lower quality of life (P = .001), and reduced pain self-efficacy (P = .006). Notably, 67.2% of those prescribed opioids as needed (PRN only) were in the high-occurrence pain flare cluster, compared with 27.9% with PRN and around-the-clock opioid prescriptions (P = .024). Individual predictors of high-occurrence pain flares were income below $30 000, unemployment, being African American, lower education level, Medicaid insurance, current opioid misuse (COMM), baseline inpatient hospital stay duration, and PRN-only opioid regimen. In the multiple predictor model, lower education level, unemployment, COMM score, extended inpatient duration, and PRN-only opioid regimen remained significant.

CONCLUSION

In ambulatory patients with cancer, high occurrence of pain flares may be mitigated by attention to opioid prescription factors and addressing social determinants of health needs of underserved patients.