Characteristics of Participation in Patient-Reported Outcomes and Electronic Data Capture Components of NRG Oncology Clinical Trials

Int J Radiat Oncol Biol Phys. 2020 Nov 15;108(4):950-959. doi: 10.1016/j.ijrobp.2020.06.030. Epub 2020 Jun 24.

Abstract

Purpose: To assess the reasons why patients do not consent to patient-reported outcome (PRO) and electronic PRO data capture components of clinical trials and potential selection bias by having a separate consent.

Methods and materials: Selected NRG Oncology trials were included based on disease site and inclusion of PROs and electronic PRO data capture via VisionTree Optimal Care as separate consent questions. Reasons for not participating were assessed. Pretreatment characteristics between patients who did and did not consent were tested using χ2 and t tests for univariate comparisons and logistic regression for multivariable analyses.

Results: Ten trials were selected in head and neck, prostate, gynecologic, breast, lung, and gastrointestinal cancers, with 4 of these trials having electronic PRO data capture. Most patients consented to the PRO component (75.3%) but not electronic PRO data capture (37.8%). More white patients consented to PROs than nonwhite patients across all trials (odds ratio [OR], 0.53; 95% confidence interval [CI], 0.45-0.63; P < .001), and more patients with education after high school consented compared with those with less education (OR, 1.71; 95% CI, 1.46-2.02; P < .001). Patients who are younger (OR, 0.63; 95% CI, 0.47-0.85; P = .002), white (OR, 0.60; 95% CI, 0.44-0.82; P = .001), and a never or former smoker (OR, 0.57; 95% CI, 0.41-0.78; P = .001) are more likely to participate in electronic PRO data capture.

Conclusions: These results suggest that a patient's race, age, and education can affect whether a patient chooses to consent or is offered to participate in PRO or electronic PRO data capture components. More investigation is needed, but this analysis provides support for making PROs integrated in the trial.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Age Factors
  • Chi-Square Distribution
  • Clinical Trials as Topic / statistics & numerical data*
  • Educational Status
  • Electronic Health Records / statistics & numerical data*
  • Female
  • Humans
  • Informed Consent / statistics & numerical data
  • Logistic Models
  • Male
  • Middle Aged
  • Neoplasms / ethnology
  • Neoplasms / psychology*
  • Neoplasms / therapy
  • Odds Ratio
  • Patient Participation / statistics & numerical data*
  • Patient Reported Outcome Measures*
  • Retrospective Studies
  • Selection Bias
  • Symptom Assessment / statistics & numerical data