ArticleJMIR medical informatics2017
Examining Tensions That Affect the Evaluation of Technology in Health Care: Considerations for System Decision Makers From the Perspective of Industry and Evaluators.
Article in JMIR medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Timing, Indicators, and Approaches to Digital Patient Experience Evaluation: Umbrella Systematic Review.Journal of medical Internet research · 2024Pooled it
- A framework for designing hybrid effectiveness-implementation trials for digital health interventions.Annals of epidemiology · 2025Article
- Technology to support aging in place: key messages for policymakers and funders.Frontiers in psychology · 2023Review
- Self-directed Technology-Based Therapeutic Methods for Adult Patients Receiving Mental Health Services: Systematic Review.JMIR mental health · 2021Review
- Barriers to Creating Scalable Business Models for Digital Health Innovation in Public Systems: Qualitative Case Study.JMIR public health and surveillance · 2020Article
- Catalyzing Digital Health Innovation in Ontario: The Role of an Academic Medical Centre.Healthcare policy = Politiques de sante · 2020Article
- Identifying and Overcoming Policy-Level Barriers to the Implementation of Digital Health Innovation: Qualitative Study.Journal of medical Internet research · 2019Article
- Linking Quality Improvement and Health Information Technology through the QI-HIT Figure 8.Applied clinical informatics · 2019Article
- Agile research to complement agile development: a proposal for an mHealth research lifecycle.NPJ digital medicine · 2018Review
- Beyond "implementation": digital health innovation and service design.NPJ digital medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virtual technologies have the potential to mitigate a range of challenges for health care systems. Despite the widespread use of mobile devices in everyday life, they currently have a limited role in health service delivery and clinical care. Efforts to integrate the fast-paced consumer technology market with health care delivery exposes tensions among patients, providers, vendors, evaluators, and system decision makers. This paper explores the key tensions between the high bar for evidence prior to market approval that guides health care regulatory decisions and the "fail fast" reality of the technology industry. We examine three core tensions: balancing user needs versus system needs, rigor versus responsiveness, and the role of pre- versus postmarket evidence generation. We use these to elaborate on the structure and appropriateness of evaluation mechanisms for virtual care solutions. Virtual technologies provide a foundation for personalized, patient-centered medicine on the user side, coupled with a broader understanding of impact on the system side. However, mechanisms for stakeholder discussion are needed to clarify the nature of the health technology marketplace and the drivers of evaluation priorities.
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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.