caa a22 4500 606180125 CHVBK 20210128100804.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s11136-014-0900-8 doi (NATIONALLICENCE)springer-10.1007/s11136-014-0900-8 Low-income minority patient engagement with automated telephonic depression assessment and impact on health outcomes [Elektronische Daten] [Irene Vidyanti, Brian Wu, Shinyi Wu] Purpose: We investigated dimensions of low-income minority patient engagement in the context of diabetes-depression care-management with automated telephone assessment (ATA) calls as a facilitator. Methods: Mixed method analyses (including regression analyses and coding of interviews) were used to examine patient engagement with technology, assess its impact on health outcomes and satisfaction with care, and analyze barriers to engagement. Patient engagement was measured by analyzing patient's ATA call response rates. We then evaluated those results in the context of the outcomes of the broader clinical trial, which compared three study arms. Results: Average completed call rate throughout the study is about 50% and decreases after 6months. The biggest barrier to patient engagement is timing. Patient engagement levels differ by baseline depression status and have no significant effect on health outcomes and satisfaction with care at 6, 12, and 18months. However, from the preliminary clinical trial results, the arm in which the ATA system is implemented has higher satisfaction with depression care than the two control arms. Thus, it is more likely that technology positively affects satisfaction with depression care outcomes through provider engagement rather than patient engagement. Conclusions: The study's patient engagement results and identified barriers would be useful to aid the design and implementation of future automated screening and monitoring systems to optimize patient engagement. The results also suggest that implementing a technology-supported care-management might not result in outcome disparities among patients with different levels of patient engagement. The Author(s), 2014 Patient engagement nationallicence Diabetes complications nationallicence Depression nationallicence Clinical trial nationallicence Prevention and control nationallicence Vidyanti Irene Office of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, CA, USA aut Wu Brian Keck School of Medicine, University of Southern California, Los Angeles, CA, USA aut Wu Shinyi School of Social Work and Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, USA aut Quality of Life Research Springer International Publishing 24/5(2015-05-01), 1119-1129 0962-9343 24:5<1119 2015 24 11136 https://doi.org/10.1007/s11136-014-0900-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11136-014-0900-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Vidyanti Irene Office of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, CA, USA aut NATIONALLICENCE 700 1- Wu Brian Keck School of Medicine, University of Southern California, Los Angeles, CA, USA aut NATIONALLICENCE 700 1- Wu Shinyi School of Social Work and Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, USA aut NATIONALLICENCE 773 0- Quality of Life Research Springer International Publishing 24/5(2015-05-01), 1119-1129 0962-9343 24:5<1119 2015 24 11136