Table 2.

Unadjusted and Adjusted Logistic Regression Models of Unmet Information and Service Needs Among Adolescent and Young Adult Survivors (n = 1395)

	Unmet needs
	Late effects information		Fertility information		Recurrence concerns		Family risk of cancer concerns
	Unadjusteda	Adjustedb	Unadjusted	Adjusted	Unadjusted	Adjusted	Unadjusted	Adjusted
	OR (95% CI)
Receipt of written treatment summary	0.42 (0.32–0.55)c	0.56 (0.39–0.80)	0.97 (0.78–1.23)	0.92 (0.66–1.27)	0.58 (0.43–0.78)	0.57 (0.39–0.84)	0.74 (0.57–0.96)	0.89 (0.64–1.24)
Receipt of instructions for follow-up care	0.24 (0.13–0.44)	0.25 (0.11–0.57)	0.70 (0.50–0.97)	0.57 (0.37–0.88)	0.59 (0.37–0.94)	0.58 (0.32–1.03)	0.61 (0.43–0.87)	0.76 (0.49–1.19)

^aEach unadjusted column consists of two simple logistic models, one for the association of receipt of treatment summary and the specified outcome and the other for receipt of instructions for follow-up care and the specified outcome.

^bEach adjusted column represents one multivariable logistic regression model, including both receipt of treatment summary and receipt of instructions for follow-up care, so that the impact of each can be evaluated while controlling for the other. The adjusted models also control for survivor age at the time of survey, sex, race, level of education, marital status, employment status, income, age at cancer diagnosis, type of cancer, time since last treatment, currently seeing an oncologist, and currently seeing a primary care physician. ORs for control variables can be found in the online Supplementary Table S1.

^cValues depicted in bold text are statistically significant at p < 0.05.

CI, confidence interval; OR, odds ratio.