Lung cancer survivors are likely to have low health literacy which is an independent risk factor for poorer health outcomes. The eHealth literacy in lung cancer survivors has not been reported. The purposes of this study were to determine self-perceived eHealth literacy levels in lung cancer survivors and to explore predictors of higher eHealth literacy. A cross-sectional study was conducted at the Princess Margaret Cancer Centre in Toronto, Canada. Survivors completed a survey that collected demographic, self-perceived eHealth literacy (using the eHealth Literacy Scale), and quality of life information. Tumor and treatment details were extracted from medical records. Demographic data was summarized using descriptive statistics and compared against those with high and low eHealth literacy using Fisher's exact test. Eighty-three survivors were enrolled over 7 months. Median age was 71 years (range 44-89); 41 survivors (49%) were male. Forty-six (55%) survivors had some college education or higher. Most had access to eResources (78%) via computer, Internet, or smartphone. Fifty-seven (69%) scored 5 or greater (7=excellent) on the overall health scale. Twenty-eight (33.7%) perceived themselves to have high eHealth literacy. There was no statistically significant correlation between eHealth literacy groups and age (p=1.00), gender (p=0.82), living situation (p=1.00), overall health (p=1.00), overall quality of life (QoL) (p=1.00), or histology (p=0.74). High eHealth literacy correlated with the level of education received (p=0.003) and access to eResources (p=0.004). The self-perceived eHealth literacy of lung cancer survivors is generally low.

PurposeIn the present work, we set out to comprehensively describe the unmet supportive care and information needs of lung cancer patients. MethodsThis cross-sectional study used the Supportive Care Needs Survey Short Form 34 (34 items) and an informational needs survey (8 items). Patients with primary lung cancer in any phase of survivorship were included. Demographic data and treatment details were collected from the medical charts of participants. The unmet needs were determined overall and by domain. Univariable and multivariable regression analyses were performed to determine factors associated with greater unmet needs. were recruited. The mean number of unmet needs was 8 (range: 0-34), and 69 patients (78%) reported at least 1 unmet need. The need proportions by domain were 52% health system and information, 66% psychological, 58% physical, 24% patient care, and 20% sexuality. The top 2 unmet needs were "fears of the cancer spreading" [n = 44 of 84 (52%)] and "lack of energy/tiredness" [n = 42 of 88 (48%)]. On multivariable analysis, more advanced disease and higher MD Anderson Symptom Inventory scores were associated with increased unmet needs. Patients reported that the most desired information needs were those for information on managing symptoms such as fatigue (78%), shortness of breath (77%), and cough (63%). ResultsConclusions Unmet supportive care needs are common in lung cancer patients, with some patients experiencing a very high number of unmet needs. Further work is needed to develop resources to address those needs.

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The perceptions of continued smoking after a cancer diagnosis among patients with cancer are strongly associated with smoking cessation. Counseling about the harms of continued smoking in patients with cancer, and in particular among those who have lower risk perceptions, should be considered when developing a smoking cessation program.

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