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
Mean age of the sample (N = 270) was 60.9 years (SD = 11.2), 64.8% were females, 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, while 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 to 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.
Conclusions
In ambulatory patients with cancer, high-occurrence of pain flares may be mitigated by attention to opioid prescription factors and addressing SDoH needs of underserved patients.