ReviewDepression and anxiety2017
Digital technology and clinical decision making in depression treatment: Current findings and future opportunities.
Review in Depression and anxiety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis 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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- How Are Information and Communication Technologies Supporting Routine Outcome Monitoring and Measurement-Based Care in Psychotherapy? A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- Trial
- The accuracy of passive phone sensors in predicting daily mood.Depression and anxiety · 2019Trial
- An emotional modulation model as signature for the identification of children developmental disorders.Scientific reports · 2018Trial
- Therapists' and Researchers' Perspectives on a Transdiagnostic Ecological Momentary Intervention "EmoGuia" for Emotional Disorders: A Consensual Qualitative Study.Behavioral sciences (Basel, Switzerland) · 2026Article
- Digital technology for older adults with functional disabilities at home: a scoping review.BMC geriatrics · 2026Article
- Evaluating the Efficacy of a Digital Therapeutic (CT-152) as an Adjunct to Antidepressant Treatment in Adults With Major Depressive Disorder: Protocol for the MIRAI Remote Study.JMIR research protocols · 2024Article
- Absolute and relative outcomes of psychotherapies for eight mental disorders: a systematic review and meta-analysis.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- Experiencing (Shared) Decision Making: Results from a Qualitative Study of People with Mental Illness and Their Family Members.Healthcare (Basel, Switzerland) · 2023Article
- Remotely Assessing Mechanisms of Behavioral Change in Community Substance Use Disorder Treatment to Facilitate Measurement-Informed Care: Pilot Longitudinal Questionnaire Study.JMIR formative research · 2022Article
- Remote Patient Monitoring for Neuropsychiatric Disorders: A Scoping Review of Current Trends and Future Perspectives from Recent Publications and Upcoming Clinical Trials.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022Article
- Clinically sufficient classification accuracy and key predictors of treatment failure in a randomized controlled trial of Internet-delivered Cognitive Behavior Therapy for Insomnia.Internet interventions · 2022Article
- An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study.JMIR formative research · 2022Article
- Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review.JMIR mental health · 2022Article
- Delivering Remote Measurement-Based Care in Community Addiction Treatment: Engagement and Usability Over a 6-Month Clinical Pilot.Frontiers in psychiatry · 2022Article
- Barriers and facilitators to implementing measurement-based care for depression in Shanghai, China: a situational analysis.BMC psychiatry · 2021Article
- Psychiatry in the Digital Age: A Blessing or a Curse?International journal of environmental research and public health · 2021Review
- The promise of machine learning in predicting treatment outcomes in psychiatry.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2021Article
- Utilizing Digital Health to Collect Electronic Patient-Reported Outcomes in Prostate Cancer: Single-Arm Pilot Trial.Journal of medical Internet research · 2020Article
- Prevalence of documented alcohol and opioid use disorder diagnoses and treatments in a regional primary care practice-based research network.Journal of substance abuse treatment · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Clinical decision making encompasses a broad set of processes that contribute to the effectiveness of depression treatments. There is emerging interest in using digital technologies to support effective and efficient clinical decision making. In this paper, we provide "snapshots" of research and current directions on ways that digital technologies can support clinical decision making in depression treatment. Practical facets of clinical decision making are reviewed, then research, design, and implementation opportunities where technology can potentially enhance clinical decision making are outlined. Discussions of these opportunities are organized around three established movements designed to enhance clinical decision making for depression treatment, including measurement-based care, integrated care, and personalized medicine. Research, design, and implementation efforts may support clinical decision making for depression by (1) improving tools to incorporate depression symptom data into existing electronic health record systems, (2) enhancing measurement of treatment fidelity and treatment processes, (3) harnessing smartphone and biosensor data to inform clinical decision making, (4) enhancing tools that support communication and care coordination between patients and providers and within provider teams, and (5) leveraging treatment and outcome data from electronic health record systems to support personalized depression treatment. The current climate of rapid changes in both healthcare and digital technologies facilitates an urgent need for research, design, and implementation of digital technologies that explicitly support clinical decision making. Ensuring that such tools are efficient, effective, and usable in frontline treatment settings will be essential for their success and will require engagement of stakeholders from multiple domains.
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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.