ArticleThe Journal of ambulatory care management
Patient-centered technological assessment and monitoring of depression for low-income patients.
Article in The Journal of ambulatory care management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Technological State of the Art of Electronic Mental Health Interventions for Major Depressive Disorder: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- Automated telephone communication systems for preventive healthcare and management of long-term conditions.The Cochrane database of systematic reviews · 2016Pooled it
- 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
- Low-income minority patient engagement with automated telephonic depression assessment and impact on health outcomes.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Trial
- A decision-analytic method to evaluate the cost-effectiveness of remote monitoring technology for chronic depression.International journal of technology assessment in health care · 2025Article
- Patient-Centered Care for Patients with Depression or Anxiety Disorder: An Integrative Review.Journal of personalized medicine · 2021Review
- Comparison of Satisfaction With Comorbid Depression Care Models Among Low-Income Patients With Diabetes.Journal of patient experience · 2020Article
- Text Messaging as a Screening Tool for Depression and Related Conditions in Underserved, Predominantly Minority Safety Net Primary Care Patients: Validity Study.Journal of medical Internet research · 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
- Screening Depression and Related Conditions via Text Messaging Versus Interview Assessment: Protocol for a Randomized Study.JMIR research protocols · 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
- Integrating Science and Engineering to Implement Evidence-Based Practices in Health Care Settings.Administration and policy in mental health · 2015Article
- Use of Telehealth to Address Depression and Anxiety in Low-income US Populations: A Narrative Review.Journal of primary care & community healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Depression is a significant challenge for ambulatory care because it worsens health status and outcomes, increases health care utilizations and costs, and elevates suicide risk. An automatic telephonic assessment (ATA) system that links with tasks and alerts to providers may improve quality of depression care and increase provider productivity. We used ATA system in a trial to assess and monitor depressive symptoms of 444 safety-net primary care patients with diabetes. We assessed system properties, evaluated preliminary clinical outcomes, and estimated cost savings. The ATA system is feasible, reliable, valid, safe, and likely cost-effective for depression screening and monitoring for low-income primary care population.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.