دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Identifying Family and Unpaid Caregivers in Electronic Health Records: Descriptive Analysis.
المؤلفون: Ma, Jessica E, Grubber, Janet, Coffman, Cynthia J, Wang, Virginia, Hastings, S Nicole, Allen, Kelli D, Shepherd-Banigan, Megan, Decosimo, Kasey, Dadolf, Joshua, Sullivan, Caitlin, Sperber, Nina R, Van Houtven, Courtney H
بيانات النشر: JMIR Publications Inc.
سنة النشر: 2022
المجموعة: Duke University Libraries: DukeSpace
مصطلحات موضوعية: caregivers, electronic health record, veterans
الوصف: Background Most efforts to identify caregivers for research use passive approaches such as self-nomination. We describe an approach in which electronic health records (EHRs) can help identify, recruit, and increase diverse representations of family and other unpaid caregivers. Objective Few health systems have implemented systematic processes for identifying caregivers. This study aimed to develop and evaluate an EHR-driven process for identifying veterans likely to have unpaid caregivers in a caregiver survey study. We additionally examined whether there were EHR-derived veteran characteristics associated with veterans having unpaid caregivers. Methods We selected EHR home- and community-based referrals suggestive of veterans' need for supportive care from friends or family. We identified veterans with these referrals across the 8 US Department of Veteran Affairs medical centers enrolled in our study. Phone calls to a subset of these veterans confirmed whether they had a caregiver, specifically an unpaid caregiver. We calculated the screening contact rate for unpaid caregivers of veterans using attempted phone screening and for those who completed phone screening. The veteran characteristics from the EHR were compared across referral and screening groups using descriptive statistics, and logistic regression was used to compare the likelihood of having an unpaid caregiver among veterans who completed phone screening. Results During the study period, our EHR-driven process identified 12,212 veterans with home- and community-based referrals; 2134 (17.47%) veteran households were called for phone screening. Among the 2134 veterans called, 1367 (64.06%) answered the call, and 813 (38.1%) veterans had a caregiver based on self-report of the veteran, their caregiver, or another person in the household. The unpaid caregiver identification rate was 38.1% and 59.5% among those with an attempted phone screening and completed phone screening, respectively. Veterans had increased odds of having an unpaid caregiver if they ...
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 2561-326X
العلاقة: JMIR formative research; v6i7e35623; https://hdl.handle.net/10161/26118Test
الإتاحة: https://hdl.handle.net/10161/26118Test
رقم الانضمام: edsbas.C44FE0F3
قاعدة البيانات: BASE