Duke University Medical Center, Durham, NC
Melissa Christina White , Arun Bhardwaj , Amanda Christman , Nosayaba Osazuwa-Peters
Background: Health literacy is an important aspect of navigating cancer care. There are over 18 million cancer survivors currently in the United States, and the number is expected to continue increasing. As new therapeutic options emerge for cancer patients, it is important that patients are able to read and understand literature from their clinical encounters regarding their treatment options and prognosis. Very little real-world data exists describing cancer patients’ reading of cancer information. We aimed to identify baseline characteristics associated with reading online health education materials among patients during active cancer care. Methods: We used retrospective data from Navigating Cancer for individuals ≥18 years, with confirmed cases of cancer between 2017 and 2023. We performed an unadjusted comparison of baseline characteristics between patients who read at least one article versus those who did not read, using chi-square test. Multivariable logistic regression estimated associations between patients’ sociodemographic characteristics and online health education material reading status (read vs. not read). Results: Among 2,903 eligible patients with cancer included in the study, approximately 65% (n= 1890) read the online health educational materials. On average, females dominated both reading status categories (femaleread=70%; femalenot_read=70.98%). However, on average patients in the “not read” category differed with a relatively higher proportion of younger adults (≤40read=14.81% vs. ≤40not_read=20.04%) and lower rates of graduate education (graduateread=27.2% vs. graduatenot_read=19.74%). In the fully-adjusted model, age group was associated with reading status, with a 31% lower odds for patients with cancer ≤ 40 years (aOR = 0.69, 95% CI 0.55-0.87; P=0.001), and a 38% lower odds for older patients 80+ years (aOR = 0.62, 95% CI 0.42-0.93; P=0.022) relative to patients 40-60 years. Also, education was a significant predictor, with a 36% reduced odds for patients with a high school diploma or less (aOR=0.64, 95% CI 0.53-0.76; P<0.001), but 26% higher odds for graduates (aOR = 1.26, 95% Ci 1.03-1.55; P=0.022), relative to patients with some college education. Similarly, White patients relative to Non-White patients with cancer (aOR = 1.27, 95% CI 1.08-1.49; P=0.004) showed 27% increased odds of reading online educational materials. Conclusions: This study showed an association between age, race, educational status and odds of reading online cancer health education among cancer survivors. Given the focus on patient-centered cancer care and equity in physician-patient cancer communication, it is important that clinical providers recognize factors associated with reading of cancer education materials in their patient population.
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