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Identifying Family and Unpaid Caregivers in Electronic Health Records: Descriptive Analysis

Identifying Family and Unpaid Caregivers in Electronic Health Records: Descriptive Analysis

The reference groups for the analyses were age ( Analyses were performed using R (version 4.0.3) [30]. A total of 12,212 veterans (box A in Figure 1) were identified through the EHR-driven process of 5 home- and community-based service referrals. A subset of veterans (2545/12,212, 20.84%) was sent a letter describing the study, followed by attempts to call in order of earliest qualifying referral. Only one-fifth were sent letters and screened by phone because of recruitment goals and resource limitations.

Jessica E Ma, Janet Grubber, Cynthia J Coffman, Virginia Wang, S Nicole Hastings, Kelli D Allen, Megan Shepherd-Banigan, Kasey Decosimo, Joshua Dadolf, Caitlin Sullivan, Nina R Sperber, Courtney H Van Houtven

JMIR Form Res 2022;6(7):e35623