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Thus, the aims of this study were to estimate noncompliance in patients who were enrolled in RTM nationwide across VHA between 2019 and 2021 and to evaluate characteristics associated with noncompliance.
Demographic, geographic, medical, and use data came from the corporate data warehouse (CDW). Race and ethnicity are determined based on self report.
JMIR Diabetes 2024;9:e53083
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Exploring the reason, past research has examined the effect of multiple predictors on noncompliance. Some studies find that demographic factors, such as age, gender, race or ethnicity, and education, influence noncompliance. Past work has found that older individuals, men, racial or ethnic minorities, and individuals with lower education respond to fewer EMAs [10,14-16].
JMIR Form Res 2021;5(9):e31421
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