Systematic surveillance of patient-reported symptoms of viral respiratory tract infectious Syndromes in diverse populations

Table 3 Multivariable logistic regression^a investigating the odds of completing FLU-PRO Plus Day 1 among those who completed online consent

	Among everyone eligible				Among successfully contact
Patient characteristics at time of eligibility	Odds of successfully contacted		Odds of Day 1 Flu-Pro response		Odds of Day 1 Flu-Pro response
Patient characteristics at time of eligibility	OR	95% CI	OR	95% CI	OR	95% CI
Age
18–34	Reference		Reference		Reference
35–64	1.15	1.05, 1.26	1.59	1.20, 2.11	1.40	1.05, 1.87
≥ 65	1.15	1.02, 1.30	1.09	0.74, 1.61	0.87	0.58, 1.30
Gender
Male	Reference		ref		ref
Female	1.02	0.94, 1.10	1.76	1.38, 2.25	1.77	1.38, 2.27
Race
Asian	0.85	0.71,1.02	0.36	0.18, 0.72	0.38	0.19, 0.76
Black/African American	0.74	0.66, 0.83	0.46	0.33, 0.64	0.46	0.33, 0.65
White	Reference		Reference		Reference
Other	0.82	0.66, 1.01	0.73	0.37, 1.42	0.87	0.44, 1.72
Unknown	0.67	0.53, 0.81	0.44	0.22, 0.87	0.46	0.23, 0.92
Hispanic ethnicity (reference = no)	0.75	0.60, 0.94	1.09	0.46, 1.82	0.99	0.49, 2.01
Diagnosis
COVID-19	0.73	0.68, 0.80	1.40	1.09, 1.80	1.66	1.27, 2.17
Influenza-like illness (ILI)	Reference		Reference		Reference

^aLogistic regression models were analyzed on the total population referenced in each column. The multivariable logistric regression models all controlled for age, gender, patient-reported race, Hispanic ethnicity, and viral respiratory diagnosis.

ISSN: 1472-6963