Evidence map›Paper›PMID 31893941›Full record

ArticleJournal of diabetes science and technology2020

Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes.

Michelle Ng, Emily Borst, Ashley Garrity, Emily Hirschfeld, Joyce Lee

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Michelle NgSusan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor, MI, USA.
Emily BorstSusan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor, MI, USA.
Ashley GarritySusan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor, MI, USA.
Emily HirschfeldSusan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor, MI, USA.
Joyce LeeSusan B. Meister Child Health Evaluation and Research Center (CHEAR), University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-8147-5168
University of Michigan · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundThe Nightscout Project is a leading example of patient-designed, do-it-yourself (DIY), open-source technology innovations to support type 1 diabetes management. We are unaware of studies that have described the evolution of patient-driven innovations from the Nightscout Project to date.

methodsWe identified patient-driven, DIY innovations from posts and comments in the "CGM in the Cloud" private Facebook group as well as data from Twitter, GitHub, and the Nightscout website. For each innovation, we described its intent or its unaddressed need as well as the associated features and improvements. We conducted a thematic analysis to identify overarching patterns among the innovations, features, and improvements, and compared the timeline of innovations in the DIY space with the timing of similar innovations in the commercial space.

resultsWe identified and categorized innovations in Nightscout with the most commonly appearing themes of: visualization improvements, equipment improvements, and user experience improvements. Other emerging themes included: Care Portal support, safety, remote monitoring, decision support, international support, artificial pancreas, pushover notifications, and open-source collaboration.

conclusionsThis rapid development of patient-designed DIY innovations driven by unmet needs in the type 1 diabetes community reflects a revolutionary, bottom-up approach to medical innovation. Nightscout users accessed features earlier than if they had waited for commercial products, and they also personalized their tools and devices, empowering them to become the experts of their own care.

Indexed as

Blood Glucose Self-MonitoringMonitoring, AmbulatoryPatient ParticipationRemote Sensing TechnologyBiomarkersBlood GlucoseDiabetes Mellitus, Type 1Diffusion of InnovationGlycemic ControlHumansHypoglycemic AgentsMobile ApplicationsPredictive Value of TestsReproducibility of ResultsSmartphoneSocial MediaBiomarkersBlood GlucoseHypoglycemic Agentsdo-it-yourselfmobile technologyremote monitoringsocial mediatype 1 diabetes

Identifiers

PMID31893941
PMCPMC7753857
OpenAlexW2996908132

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.