Trial reportQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2015
Low-income minority patient engagement with automated telephonic depression assessment and impact on health outcomes.
Trial report in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Technology-Facilitated Depression Self-Management Linked with Lay Supporters and Primary Care Clinics: Randomized Controlled Trial in a Low-Income Sample.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022Trial
- Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial.Journal of medical Internet research · 2018Trial
- Technology-Supported Integrated Care Innovations to Support Diabetes and Mental Health Care: Scoping Review.JMIR diabetes · 2023Article
- Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review.JMIR mental health · 2022Article
- Impact of Patient Engagement on Healthcare Quality: A Scoping Review.Journal of patient experience · 2022Article
- Harnessing Digital Health Technologies to Remotely Manage Diabetic Foot Syndrome: A Narrative Review.Medicina (Kaunas, Lithuania) · 2021Review
- Assessment of Psychological Distress in Adults With Type 2 Diabetes Mellitus Through Technologies: Literature Review.Journal of medical Internet research · 2021Review
- Comparison of Satisfaction With Comorbid Depression Care Models Among Low-Income Patients With Diabetes.Journal of patient experience · 2020Article
- Use of Patient-Reported Data to Match Depression Screening Intervals With Depression Risk Profiles in Primary Care Patients With Diabetes: Development and Validation of Prediction Models for Major Depression.JMIR formative research · 2019Article
- Cost-Effectiveness of a Technology-Facilitated Depression Care Management Adoption Model in Safety-Net Primary Care Patients with Type 2 Diabetes.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2018Article
- Automated Remote Monitoring of Depression: Acceptance Among Low-Income Patients in Diabetes Disease Management.JMIR mental health · 2016Article
- Introduction to special section on patient engagement.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Article
- Technology-Enabled Collaborative Care for Type-2 Diabetes and Mental Health (TECC-D): Findings From a Mixed Methods Feasibility Trial of a Responsive Co-Designed Virtual Health Coaching Intervention.International journal of integrated careArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe 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.
methodsMixed 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.
resultsAverage completed call rate throughout the study is about 50 % and decreases after 6 months. 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 18 months. 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.
conclusionsThe 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.
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