Evidence map›Paper›PMID 31661077›Full record

Trial reportJMIR mHealth and uHealth2019

Examining the Use of Glucose and Physical Activity Self-Monitoring Technologies in Individuals at Moderate to High Risk of Developing Type 2 Diabetes: Randomized Trial.

Maxine E Whelan, Mark W Orme, Andrew P Kingsnorth, Lauren B Sherar, Francesca L Denton, Dale W Esliger

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04854135 (Continuous Glucose Monitoring Initiation at Hospital Discharge), which is not on this map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
3.2field-weighted citation impact, top 7% 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.

NCT04854135 naterminatednot on this mapstarted 2021, after this paper: background citation

Continuous Glucose Monitoring Initiation at Hospital Discharge: A Feasibility Pilot Study

TypeinterventionalSponsorWashington University School of MedicineRan2021 to 2022Enrolled20ConditionsType 1 Diabetes, Type2 Diabetes, Hyperglycemia, HypoglycemiaArmsCGM4Home
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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  13. Using mobile meditation app data to predict future app engagement: an observational study.Journal of the American Medical Informatics Association : JAMIA · 2022
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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

6 authors at 1 institution in 1 country.

Maxine E WhelanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-9203-3162
Mark W OrmeNational Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0003-4678-6574
Andrew P KingsnorthNational Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-2224-5418
Lauren B SherarNational Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-9942-5433
Francesca L DentonNational Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-1016-1786
Dale W EsligerNational Centre for Sport and Exercise Medicine, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-1236-6419
Loughborough University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-monitoring of behavior (namely, diet and physical activity) and physiology (namely, glucose) has been shown to be effective in type 2 diabetes (T2D) and prediabetes prevention. By combining self-monitoring technologies, the acute physiological consequences of behaviors could be shown, prompting greater consideration to physical activity levels today, which impact the risk of developing diabetes years or decades later. However, until recently, commercially available technologies have not been able to show individuals the health benefits of being physically active.

objectiveThe objective of this study was to examine the usage, feasibility, and acceptability of behavioral and physiological self-monitoring technologies in individuals at risk of developing T2D.

methodsA total of 45 adults aged ≥40 years and at moderate to high risk of T2D were recruited to take part in a 3-arm feasibility trial. Each participant was provided with a behavioral (Fitbit Charge 2) and physiological (FreeStyle Libre flash glucose monitor) monitor for 6 weeks, masked according to group allocation. Participants were allocated to glucose feedback (4 weeks) followed by glucose and physical activity (biobehavioral) feedback (2 weeks; group 1), physical activity feedback (4 weeks) followed by biobehavioral feedback (2 weeks; group 2), or biobehavioral feedback (6 weeks; group 3). Participant usage (including time spent on the apps and number of glucose scans) was the primary outcome. Secondary outcomes were the feasibility (including recruitment and number of sensor displacements) and acceptability (including monitor wear time) of the intervention. Semistructured qualitative interviews were conducted at the 6-week follow-up appointment.

resultsFor usage, time spent on the Fitbit and FreeStyle Libre apps declined over the 6 weeks for all groups. Of the FreeStyle Libre sensor scans conducted by participants, 17% (1798/10,582) recorded rising or falling trends in glucose, and 24% (13/45) of participants changed ≥1 of the physical activity goals. For feasibility, 49% (22/45) of participants completed the study using the minimum number of FreeStyle Libre sensors, and a total of 41 sensors were declared faulty or displaced. For acceptability, participants wore the Fitbit for 40.1 (SD 3.2) days, and 20% (9/45) of participants and 53% (24/45) of participants were prompted by email to charge or sync the Fitbit, respectively. Interviews unearthed participant perceptions on the study design by suggesting refinements to the eligibility criteria and highlighting important issues about the usability, wearability, and features of the technologies.

conclusionsIndividuals at risk of developing T2D engaged with wearable digital health technologies providing behavioral and physiological feedback. Modifications are required to both the study and to commercially available technologies to maximize the chances of sustained usage and behavior change. The study and intervention were feasible to conduct and acceptable to most participants.

trial registrationInternational Standard Randomized Controlled Trial Number (ISRCTN) 17545949; isrctn.com/ISRCTN17545949.

Indexed as

AdultBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2ExerciseFeasibility StudiesFemaleGlucoseHumansHypoglycemiaHypoglycemic AgentsMaleMiddle AgedGlucoseHypoglycemic Agentsbehaviorbiobehavioral sciencesfeedbackphysiology, wearable electronic devicesself-monitoringusage

Identifiers

PMID31661077
PMCPMC6913728
OpenAlexW2982590035

What OpenQuestion holds

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LicenceCC BY
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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.