ArticleJournal of medical Internet research2016
The Emergence of Personalized Health Technology.
Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Development and Delivery of an Integrated Digital Health Care Approach for Children With Juvenile Idiopathic Arthritis: Usability Study.JMIR pediatrics and parenting · 2024Article
- Characterizing terminology applied by authors and database producers to informatics literature on consumer engagement with wearable devices.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Behavior, motivational interviewing, eating disorders, and obesity management technologies: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022.Obesity pillars · 2022Article
- Nutrition and physical activity: An Obesity Medicine Association (OMA) Clinical Practice Statement 2022.Obesity pillars · 2022Article
- Prospective Intention-Based Lifestyle Contracts: mHealth Technology and Responsibility in Healthcare.Health care analysis : HCA : journal of health philosophy and policy · 2021Article
- Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- European Forum for Primary Care: Position Paper for Primary Care Mental Health.Primary health care research & development · 2020Article
- A Technological Scenario for a Healthier, More Equitable and Sustainable Europe in 2040: Citizen Perceptions and Policy Implications.International journal of environmental research and public health · 2019Article
- Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review.Sensors (Basel, Switzerland) · 2018Review
- Health Technology-Enabled Interventions for Adherence Support and Retention in Care Among US HIV-Infected Adolescents and Young Adults: An Integrative Review.AIDS and behavior · 2017Review
- Hierarchical Medical System Based on Big Data and Mobile Internet: A New Strategic Choice in Health Care.JMIR medical informatics · 2017Article
- Using Fitness Trackers in Clinical Research: What Nurse Practitioners Need to Know.The journal for nurse practitioners : JNP · 2017Article
- Can a Free Wearable Activity Tracker Change Behavior? The Impact of Trackers on Adults in a Physician-Led Wellness Group.JMIR research protocols · 2016Article
- Taking mHealth Forward: Examining the Core Characteristics.JMIR mHealth and uHealth · 2016Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personalized health technology is a noisy new entrant to the health space, yet to make a significant impact on population health but seemingly teeming with potential. Devices including wearable fitness trackers and healthy-living apps are designed to help users quantify and improve their health behaviors. Although the ethical issues surrounding data privacy have received much attention, little is being said about the impact on socioeconomic health inequalities. Populations who stand to benefit the most from these technologies are unable to afford, access, or use them. This paper outlines the negative impact that these technologies will have on inequalities unless their user base can be radically extended to include vulnerable populations. Frugal innovation and public-private partnership are discussed as the major means for reaching this end.
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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.