TABLE 3.
Characteristics of MyCode participants and general Geisinger population.
MyCode participants who consented or re-consented after 2013 (N = 2,15,078) | MyCode participants who declined or withdrew or have not reconsented after 2013 (N = 1,00,314) | p-value a | General Geisinger population (N = 20,72,639) | p-value b | |
---|---|---|---|---|---|
Age, median [IQR] | 55 [38, 68] | 57 [39, 71] | p < 2.2 × 10−16 | 40 [20, 62] | p < 2.2 × 10−16 |
Sex, n (%) | |||||
Female | 1,28,149 (59.6) | 60,456 (60.3) | p < 0.0001 | 10,79,082 (52.1) | p < 2.2 × 10−16 |
Male | 86,928 (40.4) | 39,850 (39.7) | 9,93,557 (47.9) | ||
Unknown | 1 (0.0) | 8 (0.0) | |||
Race, n (%) | |||||
White/European ancestry | 2,06,102 (95.8) | 94,487 (94.2) | p < 2.2 × 10−16 | 18,76,010 (90.5) | p < 2.2 × 10−16 |
Black/African ancestry | 5,771 (2.7) | 3,795 (3.8) | 1,09,164 (5.3) | ||
Native American | 278 (0.1) | 132 (0.1) | 2,995 (0.1) | ||
Asian or Pacific Islander | 1,516 (0.7) | 1,515 (1.5) | 36,894 (1.8) | ||
Unknown/other | 1,411 (0.7) | 385 (0.4) | 47,576 (2.3) | ||
Ethnicity, n (%) | |||||
Hispanic/Latinx | 6,284 (2.9) | 3,572 (3.6) | p < 2.2 × 10−16 | 1,07,788 (5.2) | p < 2.2 × 10−16 |
Not Hispanic/Latinx | 2,06,776 (96.1) | 94,725 (94.4) | — | ||
Unknown | 2018 (0.9) | 2017 (2.0) | — | ||
Have a Geisinger PCP, n (%) | 1,32,652 (61.7) | 60,428 (60.2) | p < 0.0001 | 5,94,847 (28.7) | p < 2.2 × 10−16 |
Insured with GHP, n (%) | 82,926 (38.6) | 34,240 (34.1) | p < 2.2 × 10−16 | 4,51,835 (21.8) | p < 2.2 × 10−16 |
CCI, median [IQR] | 2 [0, 4] | 2 [0, 4] | p < 2.2 × 10−16 | 0 | p < 2.2 × 10−16 |
PCP, primary care provider; GHP, Geisinger health plan; CCI, Charlson comorbidity index; IQR, interquartile range.
Comparison between MyCode screening population and control population. Chi-squared test was performed for categorical variables with multiple levels (Sex, Race, and Ethnicity). Z-test for two proportions was used for categorical variables with two levels (%Geisinger PCP, %GHP). Two-sample Wilcoxon test was used for comparing the medians for continuous variables (Age and CCI).
Comparison between MyCode screening population and Geisinger population. Chi-squared test was performed for categorical variables with multiple levels (Sex and Race). Z-test for one proportion was used for logistical variables or categorical variables with two levels (Sex, % Hispanic/Latinx, %Geisinger PCP, %GHP). One-sample Wilcoxon test was used for non-normal continuous variables (Age and CCI), treating the medians of the general Geisinger population as the population median.