ArticleTranslational behavioral medicine2020
Development of a decision-making checklist tool to support technology selection in digital health research.
Article in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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
49 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Developing a Comprehensive List of Criteria to Evaluate the Characteristics and Quality of eHealth Smartphone Apps: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Educating Students About Digital Health Research Ethics: Curricula Review and Expert Interview Study.Journal of medical Internet research · 2026Article
- A Novel Pathway for Integrating Ethics into Digital Technology Design: A Person-Centred Co-Design Approach Developed in the Context of Assistive Technologies for Older Adults.Science and engineering ethics · 2026Article
- Frameworks for Guiding the Selection of Digital Data Collection Tools Used in Clinical Trials: Protocol for a Systematic Review.JMIR research protocols · 2026Article
- Older adults' views of passive smartphone monitoring for dementia risk: a multi-method analysis.Innovation in aging · 2026Article
- Digital Measurement of Subjective Experiences in Alzheimer Disease and Related Dementias (AD/ADRD).JMIR aging · 2025Article
- Design approaches for developing quality checklists in healthcare organizations: A scoping review.PLOS digital health · 2025Article
- Optimizing and Testing an Individualized and Adaptive Physical Activity Digital Health Intervention: Protocol for a Control Optimization Trial Embedded Within a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Stanford Screenomics: An Open-source Platform for Unobtrusive Multimodal Digital Trace Data Collection from Android Smartphones.medRxiv : the preprint server for health sciences · 2025Article
- Longitudinal and Combined Smartwatch and Ecological Momentary Assessment in Racially Diverse Older Adults: Feasibility, Adherence, and Acceptability Study.JMIR human factors · 2025Article
- What patients and caregivers want to know when consenting to the use of digital behavioral markers.NPP - digital psychiatry and neuroscience · 2024Article
- Mobility-Based Smartphone Digital Phenotypes for Unobtrusively Capturing Everyday Cognition, Mood, and Community Life-Space in Older Adults: Feasibility, Acceptability, and Preliminary Validity Study.JMIR human factors · 2024Article
- Remote data collection of infant activity and sleep patterns via wearable sensors in the HEALthy Brain and Child Development Study (HBCD).Developmental cognitive neuroscience · 2024Article
- The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and Monitoring.Journal of medical Internet research · 2024Article
- Ethical, legal, and social implications of digital health: A needs assessment from the Society of Behavioral Medicine to inform capacity building for behavioral scientists.Translational behavioral medicine · 2024Article
- Evaluating Users' Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach.JMIR human factors · 2024Article
- Returning Individual Research Results from Digital Phenotyping in Psychiatry.The American journal of bioethics : AJOB · 2024Article
- Navigating ethical challenges in psychological research involving digital remote technologies and people who use alcohol or drugs.The American psychologist · 2024Article
- Ethical considerations in using sensors to remotely assess pediatric health behaviors.The American psychologist · 2024Article
- Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology.NPJ digital medicine · 2023Review
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
Digital technologies offer researchers new approaches to test personalized and adaptive health interventions tailored to an individual. Yet, research leveraging technologies to capture personal health data involve technical and ethical consideration during the study design phase. No guidance exists to facilitate responsible digital technology selection for research purposes. A stakeholder-engaged and iterative approach was used to develop, test, and refine a checklist designed to aid researchers in selecting technologies for their research. First, stakeholders (n = 7) discussed and informed key decision-making domains to guide app/device selection derived from the American Psychiatric Association's framework that included safety, evidence, usability, and interoperability. We added "ethical principles" to the APA's hierarchical model and created a checklist that was used by a small group of behavioral scientists (n = 7). Findings revealed the "ethical principles" domains of respect, beneficence, and justice cut across each decision-making domains and the checklist questions/prompts were revised accordingly and can be found at thecore.ucsd.edu. The refined checklist contains four decision-making domains with prompts/questions and ethical principles embedded within the domains of privacy, risk/benefit, data management, and access/evidence. This checklist is the first step in leading the narrative of decision-making when selecting digital health technologies for research. Given the dynamic and rapidly evolving nature of digital health technology use in research, this tool will need to be further evaluated for usefulness in technology selection.
Indexed as
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.